<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.164767.2</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Peripheral neuropathic and renal complications in patients with diabetes mellitus 2</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Goicochea Rios</surname>
                        <given-names>Evelyn</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9994-9184</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Irma Luz</surname>
                        <given-names>Yupari Azabache</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0030-0172</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>OTINIANO</surname>
                        <given-names>NELIDA MILLY</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9838-4847</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Gomez Goicochea</surname>
                        <given-names>Nestor Ivan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Escuela de Medicina, Universidad Cesar Vallejo, Trujillo, La Libertad, 13001, Peru</aff>
                <aff id="a2">
                    <label>2</label>Institutos y Centros de Investigaci&#x00f3;n, Universidad Cesar Vallejo, Trujillo, La Libertad, 13001, Peru</aff>
                <aff id="a3">
                    <label>3</label>Institutos y Centros de Investigaci&#x00f3;n, Universidad Cesar Vallejo, Trujillo, La Libertad, 13001, Peru</aff>
                <aff id="a4">
                    <label>4</label>Escuela de Medicina, Universidad Cesar Vallejo, Trujillo, La Libertad, 13001, Peru</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:NOTINIANO@ucv.edu.pe">NOTINIANO@ucv.edu.pe</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>2</day>
                <month>3</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>583</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>24</day>
                    <month>2</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Goicochea Rios E et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/14-583/pdf"/>
            <abstract>
                <sec>
                    <title>Introduction</title>
                    <p>Diabetes mellitus is a chronic disease of high prevalence worldwide. It usually coexists with dyslipidemia, obesity and hypertension and can present complications such as peripheral neuropathy and nephropathy.</p>
                </sec>
                <sec>
                    <title>Method</title>
                    <p>Retrospective cohort study of 441 patients with diabetes mellitus 2. Medical records were reviewed to obtain the variables under study. All patients of both sexes treated between July 2023 and November 2024 in a primary care hospital were included and patients on predialysis or dialysis, total or partial lower limb amputation, and sequelae of cerebrovascular disease were excluded. Logistic regression analysis was used.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Among the signs of DN, anhidrosis and mycosis predominated in patients of both sexes, and among the symptoms, burning, prickling and leg pain when walking. The majority of patients with neuropathy are between 60 and 79 years of age, female, have hypertension, have a disease duration of 12.83 &#x00b1; 8.73 years, Hb1Ac of 7.67% &#x00b1;1.69, glucose of 153.93 &#x00b1; 66.17 and hemoglobin of 12.98 &#x00b1; 1.39. Most patients have CKD G1 and G2. The Chi-square test indicates only relationship between age group, sex and stages. In the quantitative analysis, the Kruskal Wallis test indicates that there are significant differences in patient stages according to age, time of disease and HbA1c.</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>Stages G1 and G2, female sex, and hypertension predominated in patients with CKD. Older age and longer duration of diabetes were associated with more advanced stages of CKD. There is a relationship between age group, sex, and stages of CKD. Age &lt; 79 years and absence of hypertension are protective factors against the progression of CKD and male sex is considered a risk factor.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Diabetes mellitus</kwd>
                <kwd>chronic kidney disease</kwd>
                <kwd>peripheral neuropathy</kwd>
                <kwd>polyneuropathy</kwd>
                <kwd>microvascular complications</kwd>
                <kwd>MNSI test</kwd>
                <kwd>risk factors</kwd>
                <kwd>dyslipidemia</kwd>
                <kwd>hypertension</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Payment for publication will be paid by Universidad C&#x00e9;sar Vallejo within the framework of support for teaching research, through Resolution No. P-2024-128-VI-UCV.</funding-source>
                </award-group>
                <funding-statement>Payment for publication will be paid by Universidad C&#x00e9;sar Vallejo within the framework of support for teaching research, through Resolution No. P-2024-128-VI-UCV.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>In this new version, some references linking diabetic peripheral neuropathy with chronic kidney disease have been updated, as well as the relationship between abnormal fasting blood glucose and HbA1c values and diabetic neuropathy. In addition, the wording of some paragraphs has been revised and improved.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>Diabetes mellitus (DM) is a highly prevalent chronic disease worldwide. By the year 2045, a prevalence of 10.9% (700 million people)
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> is expected, and early diagnosis is key to preventing chronic microvascular and macrovascular complications, including neuropathy, retinopathy and nephropathy.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>,
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>Diabetic peripheral neuropathies are classified as somatic and autonomic.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Among the former, bilateral sensory polyneuropathies, paresthesias, numbness and tingling as well as decreased tactile, vibrational and thermal sensitivity, discrimination between two points, achilles and patellar hyporeflexia are more frequent; whereas mononeuropathies and muscular amyotrophy may be accompanied by cachexia and muscle pain especially of the muscles of the pelvis and thighs.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Autonomic neuropathies include a variety of symptoms such as postural hypotension, gastrointestinal and genitourinary changes.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>Diabetic neuropathy (DN) is the most frequent complication of DM. It can be subclinical, diffuse clinical and focal syndromes.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>,
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> The first case is detected by alterations in tactile and thermal sensitivity, abnormal test for vibration in the absence of symptomatology. Diffuse clinical neuropathy encompasses distal sensorimotor and autonomic syndromes, the most frequent being diffuse symmetric polyneuropathy (DSP), with distribution in hands and feet, present in more than 90% of DM2 cases.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>,
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Among the focal syndromes, mononeuritis predominates, frequent in older adults.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
            </p>
            <p>Worldwide, the prevalence of DN is reported to be between 8 and 51%. In 10% of cases, it is diagnosed at the onset of DM2, and in 90% during the evolution of DM2.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> It increases when there are high levels of glycemia, alcohol consumption and smoking, as well as with prolonged illness.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Older adults with poor metabolic control are at greater risk of foot ulcers (25%) and amputation associated with diabetic peripheral neuropathy.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
            </p>
            <p>Among the risk factors for DN are smoking, alcohol abuse, metabolic syndrome, genetic aspects, advanced age, and among the risk factors for painful DN are poor glycemic control, female sex, obesity, renal function problems and the severity of neuropathy.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>Good glycemic control must be accompanied by strict control of blood pressure to prevent and delay the onset of DN, since hypertension has been described as the main modifiable risk factor for distal symmetric polyneuropathy.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> Dyslipidemia may affect neuronal function and contribute to DN because, associated with hyperglycemia, they produce reactive oxygen species and initial chronic inflammation of the axon or Schwann cell and subsequently affect the entire neuronal tree.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>The DN usually manifests in the hands and lower extremities
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> by producing changes in peripheral nerve and skin tissue irrigation, which results in fiber ischemia and hypoxia in sensory neurons
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>,
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> and carries the risk of foot ulcers and amputations
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> because it affects the sensory, motor and autonomic nerve fibers of the peripheral nervous system.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>,
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
            </p>
            <p>There are several tests for screening for DN, including the Michigan test, one of the most widely used in outpatient clinics and considered the standard. It has a specificity of 95-100% and sensitivity of 57-93%. It is reproducible and easy to apply in primary care.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>,
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> It includes a self-administered questionnaire with questions that evaluate the patient&#x2019;s perception of lower limb symptoms and the physical examination to identify pulses, anhidrosis, calluses, skin lesions, bony deformities and prominences, infections; as well as the Achilles reflex, the vibration perception test and the Semmes-Weinstein monofilament test.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
            </p>
            <p>The prevalence of chronic kidney disease (CKD) has increased worldwide, especially among people with DM2,
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>,
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> and can vary from 8 to 11% in the United States, Canada, Europe and Japan.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> In Peru, it was estimated that by the year 2021, 13.07% of Peruvians presented CKD, G1 to G4, and 0.10% of the population was on dialysis.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
            </p>
            <p>CKD is identified by proteinuria or structural damage evidenced by imaging or biopsy with three to more months&#x2019; duration.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> It may or may not be accompanied by decreased glomerular filtration rate (GFR) &lt; 60 mL/min/1.73 m
                <sup>2</sup>.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>,
                    <xref ref-type="bibr" rid="ref14">14</xref>,
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Proteinuria levels are directly related to renal health prognosis and mortality and are therefore considered a marker of systemic damage.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> It has been described that up to 40% of patients with DM2 may have CKD.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> and has an impact on morbidity and mortality, especially cardiovascular morbidity and mortality.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>,
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
            </p>
            <p>Diabetic CKD is a microvascular complication that affects about 35% of patients with DM2 and usually progresses to advanced stages. It presents as two phenotypes: albuminuria and altered GFR.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> When the altered glomerular filtration rate is accompanied by microalbuminuria, it can increase mortality up to ten times, with a high health and social cost.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
            </p>
            <p>Patients with CKD have higher rates of diabetic peripheral neuropathy and peripheral artery disease as documented in 520 patients hospitalized for DM2 followed for 4 years in whom CKD is associated with diabetic foot ulcers (DFU). This relationship was significant only in patients with albuminuric CKD.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
            </p>
            <p>According to a cross-sectional study, microalbuminuria is strongly and independently associated with DFU.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Since insensitivity of the foot predicts subsequent deterioration of renal function, subjects with GFRe &lt; 60 ml/min/1.73 m
                <sup>2</sup> and/or albuminuria &gt; 30 mg/24H are more prone to diabetic foot ulcer (DFU).
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup>
            </p>
            <p>Neuropathy affects almost 50% of the diabetic population
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>,
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> while DM2 nephropathy affects approximately 25% of this population. The duration of DM2, together with glycemic control, blood pressure and lipids, are common risk factors for the development of these complications.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> In Peru, in the first quarter of 2021, DM2 complications were identified with a predominance of polyneuropathy (29.5%), followed by nephropathy (14.4%), retinopathy (9%) and diabetic foot (12.8%).
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup>
            </p>
            <p>We consider it important to identify both PN and CKD in patients with DM2 treated in primary care in order to have updated local clinical-epidemiological information that will allow us to adapt treatment protocols. For this reason, the aim of this research was to identify peripheral neuropathic and renal complications in patients with DM2 in a primary care center and the specific objectives were: to analyse the clinical features of peripheral neuropathy and the clinical and laboratory features of chronic kidney disease in patients with diabetes mellitus 2; to analyse the modifiable and non-modifiable risk factors associated with peripheral neuropathy and chronic kidney.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Study design, population, and sample</title>
                <p>A retrospective, observational, analytical, applied cohort study was conducted.
                    <sup>
                        <xref ref-type="bibr" rid="ref26">26</xref>
                    </sup> The population consisted of 441 patients with DM2 treated between July 2023 and November 2024 at a primary care hospital in the province and district of Trujillo.</p>
                <p>The sample was of a census nature, so information was collected from all patients with DM2 who attended for medical control during the study period and who met the following inclusion criteria: diagnosis of DM2, male and female sex, with screening for peripheral neuropathy; evaluation of renal function by determination of glomerular filtration rate and proteinuria/creatinuria ratio
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup>; with results of glycemia, glycosylated hemoglobin (HbA1c), hemoglobin (Hb), with diagnosis of dyslipidemia and complete clinical records.</p>
                <p>Medical records of patients with glomerulonephritis, renal hypoplasia or monorenal, patients in predialysis, dialysis or with renal transplant and patients with sequelae of cerebrovascular disease and total or partial amputation of the lower limb were excluded because they were treated at another level of complexity. Medical records with incomplete data were not analysed.</p>
            </sec>
            <sec id="sec8">
                <title>Data collection techniques and instruments</title>
                <p>The documentary analysis technique, whose instrument was a data collection form based on the information in the clinical histories, was used, Information was collected about non-modifiable factors: age and sex; clinical factors: glycemia, glycosylated hemoglobin (Hba1c) and hemoglobin (Hb) values; comorbidities such as arterial hypertension, hypothyroidism and obesity. Peripheral neuropathy was determined with the Michigan test (MNSI).
                    <sup>
                        <xref ref-type="bibr" rid="ref10">10</xref>,
                        <xref ref-type="bibr" rid="ref11">11</xref>
                    </sup> This test has two parts: a questionnaire and a brief physical examination. The 15-question questionnaire is self-administered and is considered abnormal if there are 7 to more affirmative answers on the questionnaire except for questions 4 and 10 which are not scored (&#x2265;7/13). The second part is the physical examination and includes the appearance of the foot (deformities, anhidrosis, nail or skin infections and corns), assessment of the Achilles reflex and semiquantitative assessment of vibration sensation on the dorsum of the big toe; vibration assessment and monofilament test. Patients scoring positive on the clinical part of the MNSI (&gt;2 points on a 10-point scale) were considered neuropathic.
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup>
                </p>
                <p>The Ipswich test and the evaluation of pedial and posterior tibial pulses were also applied. Likewise, a reflex hammer was used to evaluate the Achilles reflex. For these evaluations it was considered present or absent. The monofilament test, using the 10 g Semmes-Weinstein monofilament was considered normal if eight of 10 responses were correct, reduced sensation one to seven responses out of 10 applications and no correct responses were recorded as no sensation.
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup>
                </p>
                <p>Chronic kidney disease was determined with the blood creatinine value (mg/dL), age in completed years and sex (CKD EPI formula)
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup> with or without the presence of albuminuria.
                    <sup>
                        <xref ref-type="bibr" rid="ref16">16</xref>
                    </sup> CKD was considered when the glomerular filtration rate was &lt; 60 ml/min/1.73 m
                    <sup>2</sup> and the albuminuria/creatinuria ratio was &gt;30 for women and &gt;20 for men. The CKD EPI formula was used for the staging of CKD
                    <sup>
                        <xref ref-type="bibr" rid="ref18">18</xref>,
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup> and blood pressure was considered controlled when the values were &lt;140/90 mm Hg.
                    <sup>
                        <xref ref-type="bibr" rid="ref29">29</xref>
                    </sup>
                </p>
                <p>The CKD was classified into five stages according to the glomerular filtration rate. It is classified into stages G3 to G5 with a decrease in GFR &lt; 60 ml/min/1.73 m
                    <sup>2</sup> in the absence of albuminuria and stages G1 and G2 in the presence of proteinuria.
                    <sup>
                        <xref ref-type="bibr" rid="ref17">17</xref>,
                        <xref ref-type="bibr" rid="ref18">18</xref>
                    </sup> Laboratory data were performed during the medical evaluations and were obtained from the medical records of each patient included in the study. This information made it possible to assess the characteristics of peripheral neuropathy and CKD in the study population. DM2 was recorded as controlled if Hba1c was &lt; 7% and fasting glycemia &lt;120 mg/dL. Anemia was considered if hemoglobin was &lt;12 g/dL for females and &lt;13 g/dL for males.
                    <sup>
                        <xref ref-type="bibr" rid="ref30">30</xref>
                    </sup>
                </p>
                <p>Validation of the data collection instrument was performed, with the evaluation of experts (neurologists, nephrologists and family physicians) and the Aiken V of 0.96
                    <sup>
                        <xref ref-type="bibr" rid="ref31">31</xref>
                    </sup> was obtained.</p>
                <p>Procedure: Authorization was requested for access to the clinical records of outpatients with DM2 in search of polyneuropathy, CKD, comorbidities and laboratory tests. The information per patient was organized in a database and then the information was analyzed. All variables recorded by the responsible physician were considered and the results were presented taking into account the STROBE checklist.
                    <sup>
                        <xref ref-type="bibr" rid="ref32">32</xref>
                    </sup>
                </p>
                <p>Statistical analysis: Descriptive statistics were used to organize the data in tables and graphs, as well as measures of central tendency and dispersion to analyze the behavior of the study variables.
                    <sup>
                        <xref ref-type="bibr" rid="ref33">33</xref>
                    </sup> For the inferential analysis, measures of association were processed using freely available statistical software. Likewise, a logistic regression model was developed to predict the risk factors associated with peripheral neuropathy and chronic kidney disease.
                    <sup>
                        <xref ref-type="bibr" rid="ref34">34</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec9">
                <title>Ethical considerations</title>
                <p>The protocol that gave rise to this article was presented to the Research and Ethics Committee of the Gerencia de la Red Asistencial La Libertad - EsSALUD (Management of the La Libertad - EsSALUD Health Care Network) before carrying out the research. This committee issued the certificate N&#x00b0; 68 on May 20, 2024, authorizing the execution of the research.</p>
                <p>The project was also reviewed and approved by the Ethics Committee of the School of Medicine - UCV (Expert opinion 317-CEI-EPM-UCV-2024 of May 30, 2024).</p>
                <p>The ethical principles of the Declaration of Helsinki were applied with respect to the confidentiality and veracity of the data collected during the course of the study, which are faithfully presented. Personal identity data and patient privacy were protected. Authorship contributions and transparency in conflicts of interest were reported.
                    <sup>
                        <xref ref-type="bibr" rid="ref35">35</xref>
                    </sup>
                </p>
            </sec>
        </sec>
        <sec id="sec10" sec-type="results">
            <title>Results</title>
            <p>
                <xref ref-type="table" rid="T1">
Table 1</xref>, shows clinical manifestations of neuropathy by age group and gender. Among the signs of DN, anhidrosis and infections predominated in patients of both sexes and different age groups, especially among those over 80 years of age. Anhidrosis was more frequent in the female sex, while infections were more frequent in the male sex. More than 66% of participants had more than two signs of diabetic neuropathy. As for symptoms, burning, prickling and leg pain when walking predominated. These had a greater occurrence in women over 80 years of age.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>
Table 1. </label>
                <caption>
                    <title>Clinical manifestations of neuropathy by age group and gender.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">AGE GROUP</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">&lt;60 YEARS</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">60-80 YEARS</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">&gt;80 YEARS</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">
TOTAL</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">SEX</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">MALEC.</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">FEM.</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">MALEC.</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">FEM.</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">MALEC.</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
FEM.</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="8" rowspan="1" valign="top">Signs</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Mallet Fingers</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30.36%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.85%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19.82%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26.47%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17.39%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">23.13%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Overlapped fingers</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.57%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10.81%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.24%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17.39%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.39%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hallux valgus</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39.64%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">55.29%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">62.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47.83%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">46.71%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Metatarsal Prominence</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30.36%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">46.15%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36.94%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47.06%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">62.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21.74%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">41.50%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Anhidrosis</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">64.29%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">67.69%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">54.95%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">62.94%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">56.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">69.57%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">61.90%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Calluses/Corns</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47.69%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.83%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44.12%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">43.75%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34.78%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.87%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Infections/cracks</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">58.93%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">58.46%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">66.67%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">58.82%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">75.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">60.87%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">61.45%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Absent Aquilian reflex</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.31%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.51%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.94%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.04%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.70%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Absent vibration</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16.07%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21.54%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22.52%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18.24%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.04%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19.73%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Negative monofilament test</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21.43%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.15%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18.92%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.82%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18.75%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.04%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.15%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Signs of NPD</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">71.43%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">66.15%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">66.67%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">73.53%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">87.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">60.87%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">70.29%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="8" rowspan="1" valign="top">Symptoms of NPD</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Numbness</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">53.57%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">41.54%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38.24%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">43.48%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44.22%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Burning</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35.71%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44.62%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">48.65%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">43.53%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">56.52%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44.44%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Sensitivity</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44.64%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35.38%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.84%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">33.53%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52.17%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.19%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Prickling</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">55.36%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">53.85%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">49.55%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">51.76%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">56.52%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">51.70%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Sheet rubbing</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10.71%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16.92%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9.01%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19.41%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21.74%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15.19%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hot sensation</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19.64%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.85%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.51%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11.76%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17.39%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.83%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Open wound</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14.29%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15.38%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9.01%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11.18%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.35%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11.11%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Neuropathy diagnosis</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30.77%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27.93%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.82%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39.13%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30.39%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Nocturnal symptoms</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35.71%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">43.08%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39.64%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">32.35%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47.83%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36.73%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Leg pain on walking</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44.64%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47.69%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36.04%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">48.24%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52.17%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44.44%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Feeling your feet</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.36%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.15%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.60%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.35%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.04%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.31%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Cracks</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.14%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.15%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.60%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.71%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.70%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.22%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Amputation history</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.54%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.23%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Symptoms (+) NPD</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19.64%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.85%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9.91%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.35%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.25%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21.74%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.15%</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>With the bivariate analysis, 
                <xref ref-type="table" rid="T2">
Table 2</xref> shows that the majority of patients with neuropathy are between 60 and 79 years of age (45.1%), female (41.3%), and present hypertension (51.2%). The average age was 66.71 &#x00b1; 11.19 years, average time of illness was 12.83 &#x00b1; 8.73 years, average Hb1Ac was 7.67% &#x00b1; 1.69, glucose was 153.93 &#x00b1; 66.17 and hemoglobin was 12.98 &#x00b1; 1.39. For the variables analyzed, the Chi-square statistical tests indicated no association and the Man Whitney U test indicated no significant differences in relation to neuropathy. Therefore, in this case, multivariate analysis was no longer performed.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>
Table 2. </label>
                <caption>
                    <title>Modifiable and nonmodifiable risk factors in patients with peripheral neuropathy.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="2" valign="top">Factors</th>
                            <th align="left" colspan="3" rowspan="1" valign="top">Neuropathy (Signs)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="2" valign="top">Total</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">NO</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">YES</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Sig.</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">Age Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Less than 60</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">83</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18.8</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">121</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27.4</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">0.884</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">from 60 to 79</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">82</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18.6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">199</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">45.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">281</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">63.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Over 80</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Sex</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Man</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">55</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">128</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">183</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">41.5</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.89</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Woman</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">76</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">182</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">41.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">258</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">58.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Dyslipidemia</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">98</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">243</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">55.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">341</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">77.3</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.41</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">33</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">67</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">100</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Obesity</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">100</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22,7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">245</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">55,6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">345</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">78,2</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.53</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7,0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">65</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14,7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">96</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21,8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Hypothyroidism</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">126</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">290</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">65.8</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">416</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">94.3</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.27</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Anemia</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">98</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">230</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52.2%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">328</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">74.4</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.89</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">33</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">80</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18.1%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">113</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Hypertension</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">84</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">124</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.1</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.46</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">91</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20.6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">226</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">51.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">317</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">71.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Total</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">131</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29.7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">310</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">70.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">441</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Age</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">65.57  &#x00b1; 10.31</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">66.71 &#x00b1; 11.19</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">66.38 &#x00b1; 10.93</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.17</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Disease duration</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">11.59 &#x00b1; 7.69</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.83 &#x00b1; 8.73</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.46 &#x00b1; 8.44</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.22</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">HbA1c</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">7.90 &#x00b1; 2.03</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">7.67 &#x00b1; 1.69</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">7.74 &#x00b1; 1.87</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.63</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Glucose</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">164.26 &#x00b1; 78.33</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">153.93 &#x00b1; 66.17</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">157 &#x00b1; 70.07</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.48</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Hemoglobin (woman)</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.43 &#x00b1; 1.16</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.61 &#x00b1; 1.09</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.55 &#x00b1; 1.11</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.50</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Hemoglobin (man)</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">13.91 &#x00b1; 1.50</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">13.52 &#x00b1; 1.61</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">13.64 &#x00b1; 1.58</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.15</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>
                <xref ref-type="table" rid="T3">
Table 3</xref> shows that most patients are in G I and G II, are female, and have hypertension. The highest average age was found in G IIIB and G IV with 71.08 &#x00b1; 10.52 years. Likewise, the average time of disease was higher in G IIIB and G IV, with 15.41 &#x00b1; 8.87years, the higher average HbA1c was 8.14% &#x00b1; 2.07 located in G I and GII. In G I and G II, we found an average higher glucose of 171.66 &#x00b1; 87.28; average higher hemoglobin of 13.13 &#x00b1; 1.42. For qualitative variables, the Chi-square statistical test indicates only a relationship among age group, sex and stages. In the quantitative analysis, the Kruskal Wallis test indicates that there are significant differences among patient stages according to age, time of disease and HbA1c.</p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>
Table 3. </label>
                <caption>
                    <title>Modifiable and nonmodifiable risk factors according to stages of chronic kidney disease in patients with diabetes mellitus 2.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="2" valign="top">Characteristics</th>
                            <th align="left" colspan="7" rowspan="1" valign="top">Stages</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="2" valign="top">Total</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">%</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">
Sig.</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">No CKD</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">G I y GII</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">G III A</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">G IIIB y G IV</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
%</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">Age group</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Younger than 60</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">60</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13,6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">50</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11,3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1,4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1,1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">121</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27,4</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">0.00</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">From 60 to 79 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">130</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29,5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">102</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">23,1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8,2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2,9</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">281</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">63,7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Over 80</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2,0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3,2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2,3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1,4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8,8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Sex</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">man</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">65</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14.7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">80</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">183</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">41.5</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.00</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">woman</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">134</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30.4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">86</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">23</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">258</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">58.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Dyslipid-emia
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">154</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34.9</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">130</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">341</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">77.3</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.88</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">45</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">100</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Obesity</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">153</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34,7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">128</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29,0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">45</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10,2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4,3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">345</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">78,2</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.48</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">46</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10,4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8,6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1,6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1,1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">96</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">21,8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Hypothyroidism</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">189</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">42.9</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">154</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34.9</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">51</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11.6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">416</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">94.3</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.83</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Anemia</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">156</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35.4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">124</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">328</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">74.4</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.07</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">43</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9.8</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">42</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">113</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Hyper-tension
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">65</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14.7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10.7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.8</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.9</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">124</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.1</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">0.05</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">134</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30.4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">119</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">317</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">71.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Total</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">199</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">45.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">166</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11.8</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">24</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">441</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Age</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">64.49 &#x00b1; 10</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">66.66 &#x00b1; 10.44</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">70.54 &#x00b1; 14.07</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">71.08 &#x00b1; 10.52</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">66.38 &#x00b1; 10.93</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.00</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Disease duration</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">11.16 &#x00b1; 8.13</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.85 &#x00b1; 7.80</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">14.83 &#x00b1; 10.43</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">15.41 &#x00b1; 8.87</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.46 &#x00b1; 8.44</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.01</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">HbA1c</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">7.52 &#x00b1; 1.76</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">8.14 &#x00b1; 2.07</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">7.25 &#x00b1; 1.18</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">7.69 &#x00b1; 1.84</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">7.73 &#x00b1; 1.86</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.01</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Glucose</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">147.97 &#x00b1; 56.34</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">171.66 &#x00b1; 87.28</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">145.02+ &#x00b1; 43.74</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">149.58 &#x00b1; 67.34</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">156.63 &#x00b1; 69.87</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.24</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Hemoglobin (woman)</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.55 &#x00b1; 0.99</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.55 &#x00b1; 1.22</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.68 &#x00b1; 1.81</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.36 &#x00b1; 1.40</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.55 &#x00b1; 1.11</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.86</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">Hemoglobin (man)</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">13.841.63</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">13.74 &#x00b1; 1.37</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">13.21 &#x00b1; 1.60</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">12.611 &#x00b1; 2.43</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">13.64 &#x00b1; 1.58</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.06</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Note: For a better analysis in the statistical tests, G IV with 8 patients and G IIIB with 14 patients were grouped together.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>
                <xref ref-type="table" rid="T4">
Table 4</xref> shows the ordinal regression after analysis of the requirements. The dependent variable was the stages of chronic kidney disease. The variables included in the model were the age group in the categories of less than 60 and 60 to 79 years and the absence of hypertension as protective factors. Male sex is also included as a risk factor. The age groups younger than 79 years and the absence of hypertension are considered protective factors since their coefficients are negative and their ORs are less than 1, interpreted as meaning that patients of these ages who do not have hypertension are less likely to increase the stage of chronic kidney disease. Male sex, however, is considered a risk factor for progression of CKD.</p>
            <table-wrap id="T4" orientation="portrait" position="float">
                <label>
Table 4. </label>
                <caption>
                    <title>Ordinal regression model for chronic kidney disease in patients with diabetes mellitus 2.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Parameter</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">B</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Dev. Error</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">95% Wald confidence interval</th>
                            <th align="left" colspan="3" rowspan="1" valign="top">Contrast of hypotheses</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">OR</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">95% Wald confidence interval for Exp (B)</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Inferior</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Superior</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Wald Chi-square
</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">gl</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Sig.</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Inferior</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Superior</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">[Age group = less than 60]</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">-1.353</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.3862</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-2.110</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.596</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.276</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">0.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.258</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.121</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.551</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">[Age group = from 60 to 79</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">-1.145</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.3313</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-1.794</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.496</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11.948</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.318</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.166</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.609</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">[Sex = male]</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">0.570</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.2272</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.125</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.015</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.292</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">0.012</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.768</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.133</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.760</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">[Dyslipidemia = No]</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.132</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.2231</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.569</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.305</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.351</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.554</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.876</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.566</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.357</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">[Obesity = .No]</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.802</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.8167</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.799</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.402</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.964</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.326</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.229</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.450</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11.051</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">[Hypo-thyroidism =No]</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.158</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.3927</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.928</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.611</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.162</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.687</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.854</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.395</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.843</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">[Anemia = .No]</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.298</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.3116</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.909</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.313</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.914</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.339</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.742</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.403</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.367</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">[Hyper-tension = No]</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">-0.502</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.2126</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.919</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.086</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.582</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">0.018</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.605</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.399</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.918</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Time of disease</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.016</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.0119</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.008</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.039</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.740</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.187</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.016</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.992</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.040</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">HbA1c</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.019</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.0694</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.117</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.155</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.073</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.788</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.019</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.889</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.167</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Glucose</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.002</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.0018</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.006</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.437</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.231</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.002</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.999</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.006</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hemoglobin</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.010</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.1052</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.197</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.216</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.008</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.927</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.010</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.822</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.241</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Note: The requirement of parallel lines was met (p &gt; 0.05), significant model (p &lt; 0.05) and Cox and Snell R square: 0.10 and Nagelkerke R square: 0.11.</p>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec id="sec11" sec-type="discussion">
            <title>Discussion</title>
            <p>Diabetic neuropathy (DN) is a common complication in patients with diabetes. It is often overlooked, underdiagnosed and undertreated
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> due to its wide spectrum of presentations and variable intensity of symptoms, ranging from a mild or asymptomatic clinical picture to a debilitating neuropathy.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> The prevalence of DN is highly variable and is a function of age, disease duration, metabolic control and lifestyle.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
            </p>
            <p>The variability in the clinical picture of DN is related to the changes that chronic hyperglycemia produces in the nerve fiber. Decreased glutathione depletion and regeneration, with consequent oxidative stress and triggering of proinflammatory reactions and fibrosis,
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>,
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> have been reported to be responsible. Autooxidation of glucose and its metabolites would be other factors associated with nerve fiber damage, changes that are intensified in poorly controlled diabetics.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> It has also been described that DN generates axon damage with variable demyelination,
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> microvascular insufficiency at the level of peripheral nervous tissue and skin, with fiber ischemia and secondarily hypoxia mainly in sensory neurons.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
            </p>
            <p>Thus, DN manifests as decreased tactile and thermal sensitivity, paresthesias, hypoalgesia, among other symptoms.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> The earliest changes of peripheral ND occur at the level of unmyelinated C-fibers, resulting in pain, allodynia and hyperesthesias. Late changes include segmental axonal demyelination, axonal degeneration of myelinated fibers, resulting in progressive loss of distal sensation in the affected nerve.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
            </p>
            <p>In the present study, burning, prickling and leg pain when walking predominated, with greater occurrence in women over 80 years of age. Regarding these sensory symptoms, a study conducted in Mexico reported similar data, finding dysesthesia, pain, burning and sensation of electric shock at the level of the toes.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> On physical examination, anhidrosis and fungal infections of the skin and nails predominated in patients of both sexes and especially among those over 80 years of age. Mycoses are the most frequent group of skin infections in patients with DM, especially of nails and feet, generally caused by dermatophytes or 
                <italic toggle="yes">Candida</italic> species. Anhidrosis or hypohidrosis is also frequent in this type of patient
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup> and is due to the sudomotor dysfunction characteristic of DM.
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>,
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup>
            </p>
            <p>It has been observed that patients with diabetes, whose age is over 64 years, had twice the risk of developing onychomycosis. It also occurs when repeated microtrauma to the nails, longer exposure to pathogenic fungi, weakened immune system, increased work activity and venous insufficiency occur. Likewise, it has been observed that patients with diabetes who have amputations and structural deformities are more likely to develop onychomycosis.
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup>
            </p>
            <p>Almost two thirds of the participants presented more than two signs using the MNSI 28 and were therefore diagnosed as DN. Screening for DN in people with diabetes helps prevent foot ulcers and amputations; regular foot exams, pain management, and glycemic control are advised.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> The present study used the MNSI, an instrument considered standard for detecting DN in outpatients in primary care. Its specificity is 95-100% and its sensitivity 57-93%.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>,
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup>
            </p>
            <p>Among the most important factors associated with neuropathy, age,
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>,
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> obesity, arterial hypertension,
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>,
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup> smoking
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>,
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> poor glycemic control,
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>,
                    <xref ref-type="bibr" rid="ref39">39</xref>,
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup> duration of diabetes &gt;10 years
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>,
                    <xref ref-type="bibr" rid="ref36">36</xref>,
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup> hypoinsulinemia, and dyslipidemia were mentioned.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Other factors associated with DN (p&lt;0.05) were female sex, age &gt;60 years, glycemic imbalance (HbA1c &gt; 8%).
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>,
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup> and risk factors for painful DN include poor glycemic control, female sex, obesity, renal function problems and severity of neuropathy.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>In the present study, the majority of patients with DN are between 60 and 79 years of age, are female and among the comorbidities, arterial hypertension predominates. The average duration of DM is 12.83 &#x00b1; 8.73 years, and there is not a good metabolic control reflected in elevated Hb1Ac and glycemia values. However, no statistical significance was found based on Chi-square and Man Whitney U tests.</p>
            <p>Regarding the duration of diabetes, an investigation in Ethiopia showed that the duration of DM was an important variable that was negatively associated with DN in patients with newly diagnosed DM2. In addition, more than half of the DN occurred within 6 years after the diagnosis of diabetes mellitus. These findings could indicate that most diabetic patients were diagnosed with DM in late stages and were at risk of developing DN in early stages.
                <sup>
                    <xref ref-type="bibr" rid="ref41">41</xref>
                </sup>
            </p>
            <p>On the other hand, it has been shown that the risk of DN increases with age. This could be attributed to the convergence of three fundamental pathological mechanisms: inflammation, oxidative stress and mitochondrial dysfunction, all of which are related to the aging process. The inflammatory response leads to the activation of intracellular pathways such as nuclear factor kappa B (NF-&#x03ba;B), activator protein-1 (AP-1) and mitogen-activated kinases (MAPKs) that play a crucial role in neuronal damage.
                <sup>
                    <xref ref-type="bibr" rid="ref42">42</xref>
                </sup> Likewise, oxidative stress generated by chronic hyperglycemia is mediated by several altered metabolic pathways including the polyol and hexosamine pathways, activation of protein kinase C, formation of advanced glycosylation end products and dysfunctional glycolysis. On the other hand, mitochondrial dysfunction is responsible for the production of most reactive oxygen and nitrosative species, whose toxic actions lead to lipid peroxidation, structural modifications of proteins and damage to nucleic acids. These processes culminate in axonal degeneration and segmental demyelination, characteristic of DN.
                <sup>
                    <xref ref-type="bibr" rid="ref42">42</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup>
            </p>
            <p>It has been described that strict control of blood pressure is the main modifiable risk factor for distal symmetric polyneuropathy and should accompany glycemic control.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> and that dyslipidemia associated with hyperglycemia affect neuronal function by producing reactive oxygen species and initial chronic inflammation of the axon or Schwann cell and subsequent alteration of the entire neuronal tree.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Hence the importance of maintaining stable lipid and blood pressure values. Several observational studies indicate that management of dyslipidemia may reduce the risk of neuropathy (hazard ratio [HR]: 0.52; 95% confidence interval [CI]: 0.27&#x2013;0.98 with fibrate use, HR: 0.65; 95% CI: 0.46&#x2013;0.93 with statin use; p &#x2264; 0.042).
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup>
            </p>
            <p>Multifactorial intervention in lifestyle, physical activity, body weight
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup> and foot care
                <sup>
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup> represent the basis for the treatment of diabetic distal symmetric polyneuropathy, so it is important to identify risk factors or comorbidities associated with DN in the early stages of the disease.
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup> The evidence suggests that integrated care contributes to the prevention of complications such as diabetic foot ulcers, reduces hospitalizations, and improves the quality of life of patients with diabetic neuropathy.
                <sup>
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup>
            </p>
            <p>In the bivariate analysis, no association was found between DN and obesity, dyslipidemia, anemia, and hyperthyroidism. However, another study did report an elevated BMI 40 and obesity as risk factors.
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup> Furthermore, another study reported that hyperglycemia and dyslipidemia may affect peripheral nerve function in distinct but overlapping ways. While hyperglycemia causes damage, preferentially to large myelinated nerve fibers, which is reflected in motor nerve conduction velocity, dyslipidemia and obesity preferentially affect small nerve fibers and the damage is evident by the density of intraepidermal nerve fibers. These risk factors may be particularly important in sensory axon loss of all sizes, which is the primary pathology underlying the patient&#x2019;s symptoms and disability.
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>,
                    <xref ref-type="bibr" rid="ref44">44</xref>
                </sup> These risk factors may be particularly important in sensory axon loss of all sizes, which is the primary pathology underlying the patient&#x2019;s symptoms and disability.
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>,
                    <xref ref-type="bibr" rid="ref44">44</xref>
                </sup>
            </p>
            <p>The other complication analyzed in this study is chronic kidney disease.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> About 30% of people with type 1 diabetes and 40% of people with T2D develop diabetic kidney disease
                <sup>
                    <xref ref-type="bibr" rid="ref45">45</xref>
                </sup> and the patients with CKD present higher rates of diabetic peripheral neuropathy (DPN) and peripheral arteriopathy, especially in cases of albuminuric CKD,
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>,
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> and microalbuminuria has been associated with a higher prevalence of diabetic foot ulcer.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> It has been described that the underlying mechanism of both neuropathy and nephropathy is the microvascular involvement that nearly 35% of patients with DM2 present.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>,
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> The relationship between diabetic kidney disease (DKD) and DPN may be bidirectional, so patients with DPN should also be screened for DKD
                <sup>
                    <xref ref-type="bibr" rid="ref46">46</xref>
                </sup> and other studies report that kidney function shows a positive correlation with DPN regardless of other risk factors such as age, sex, HDL cholesterol levels, and blood glucose.
                <sup>
                    <xref ref-type="bibr" rid="ref47">47</xref>
                </sup>
            </p>
            <p>Most patients in this study were female, had hypertension, and were in GI or GII stages. Advanced stages (GIII B and G IV) were more frequent with increasing age and DM2 duration. These findings are consistent with previous studies that have found a directly proportional relationship between these variables and advanced stage
                <sup>
                    <xref ref-type="bibr" rid="ref40">40</xref>,
                    <xref ref-type="bibr" rid="ref48">48</xref>
                </sup> or progression of CKD.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Regarding sex, some studies report that there is no difference by sex in the association with CKD. However, the risk of progression and terminal CKD is higher among women than among men with diabetes.
                <sup>
                    <xref ref-type="bibr" rid="ref49">49</xref>
                </sup>
            </p>
            <p>The highest levels of HbA1c and glycemia were observed among patients in stages GI and GII. Likewise, a relationship was found among age group, sex, and CKD stages. According to the Kruskal Wallis test, there were significant differences among CKD stages and age, time of duration of DM2, and glycemia and HbA1c values.</p>
            <p>Glycemic control is beneficial both in reducing of peripheral neuropathy
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup> and in preventing progression of CKD. An observational study involving 32 patients monitored over a period of 24 years revealed that 64% of individuals with HbA1c levels &#x2265; 7.0% experienced sensory-motor peripheral nerve impairment and developed clinical neuropathy, in contrast to those with HbA1c levels below 7%.
                <sup>
                    <xref ref-type="bibr" rid="ref50">50</xref>
                </sup> Several researchers highlight the importance of high fasting blood glucose levels and HbA1c in the development of DPN, although the mechanism could be related to reduced neural blood flow, delayed nerve conduction, and axonal atrophy.
                <sup>
                    <xref ref-type="bibr" rid="ref47">47</xref>
                </sup>
            </p>
            <p>It has been described that, in patients with CKD, the severity of DPN correlates directly with the duration of the disease, the degree of glycemic control and the degree of uremia. DPN in patients with CKD G4-G5 is presented as a distal symmetrical polyneuropathy with greater involvement of the lower limbs than the upper limbs. The most frequent clinical features of uremic neuropathy are involvement of thick fibers, with paresthesias, altered or absent deep tendon reflexes, altered vibratory sensation, distal foot muscle atrophy, and weakness.
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>,
                    <xref ref-type="bibr" rid="ref51">51</xref>
                </sup> Another study found that patients with DPN were significantly older, had a longer duration of diabetes, and had higher fasting blood glucose and HbA1c levels compared to patients without DPN.
                <sup>
                    <xref ref-type="bibr" rid="ref52">52</xref>
                </sup>
            </p>
            <p>Likewise, it has been reported that, in patients with diabetes, the development of cardiac autonomic neuropathy and DPN depends on complex interactions between the degree of hyperglycemia, the duration of the disease, age-related neuronal waste, and systolic and diastolic blood pressures. The diabetic population with stages 4-5 CKD presents an extremely high risk of lower limb amputation.
                <sup>
                    <xref ref-type="bibr" rid="ref51">51</xref>
                </sup>
            </p>
            <p>In the ordinal regression, the dependent variable was the stages of chronic kidney disease. It was found that the age group in its categories of less than 60 and 60 to 79 years and the absence of hypertension are protective factors; male sex is a risk factor for CKD. This last variable has been described in several studies associated with CKD
                <sup>
                    <xref ref-type="bibr" rid="ref48">48</xref>
                </sup> as well as uncontrolled arterial hypertension and age over 65 years.
                <sup>
                    <xref ref-type="bibr" rid="ref48">48</xref>,
                    <xref ref-type="bibr" rid="ref53">53</xref>
                </sup>
            </p>
            <p>We believe that the results of this research justify a prospective study of the cohort analyzed, as well as the comparison of these results with controlled diabetic population, lifestyles and medications received for the treatment of DM, DN and CKD. The key areas that justify research to prevent the development or progression of DN and CKD in patients with DM are early screening, periodic follow-up, metabolic and blood pressure control, as well as control of dyslipidemia and obesity. In addition, education on risk factors for DN and CKD, healthy eating, physical activity, and adherence to treatment.</p>
            <p>We consider that the results of the study can be generalized to the Peruvian population with similar characteristics.</p>
            <sec id="sec12">
                <title>Limitations of the study</title>
                <p>Referred to the limitations of the retrospective observational design used. One of the limitations is that the registries do not include information on all relevant risk factors. On the other hand, by working only with records of patients who sought medical care or were hospitalized, patients without access to medical care or those with less severe forms of neuropathy were excluded.</p>
            </sec>
        </sec>
        <sec id="sec13" sec-type="conclusion">
            <title>Conclusion</title>
            <p>Diabetic neuropathy produces changes in the somatic and autonomic peripheral nervous system, requiring intervention in the initial phase of the disease through lifestyle changes, detection of modifiable factors such as dyslipidemia, arterial hypertension and obesity, and timely treatment to achieve and maintain glycemic control. Diagnosis and treatment of fungal infections, anhidrosis and other clinical examination findings, as well as DN symptoms, are also required.</p>
            <p>DN is more frequent in patients between 60 and 79 years of age, female, with arterial hypertension, with hyperglycemia (elevated Hb1Ac and glycemia values) and with a disease duration (DM) of 12.83 &#x00b1; 8.73 years.</p>
            <p>Stages G1 and G2, female sex, and hypertension predominated in patients with CKD. The older the patient and the longer the time with DM, the higher the CKD stage. A relationship was found between age group, sex and CKD stages. Age &lt;79 years and the absence of hypertension are protective factors that prevent the progression of CKD, whereas male sex is considered a risk factor.</p>
        </sec>
        <sec id="sec14">
            <title>Ethical considerations and consent</title>
            <p>The protocol that gave rise to this article was presented to the Research and Ethics Committee of the Gerencia de la Red Asistencial La Libertad - EsSALUD (Management of the La Libertad - EsSALUD Health Care Network) before carrying out the research. This committee issued the certificate N&#x00b0; 68 on May 20, 2024, authorizing the execution of the research.</p>
            <p>The project was also reviewed and approved by the Ethics Committee of the School of Medicine - UCV (Expert opinion 317-CEI-EPM-UCV-2024 of May 30, 2024).</p>
            <p>The Ethics Committee of the Faculty of Medicine - C&#x00e9;sar Vallejo University and the EsSalud Research Committee (with institutional review committee functions) gave authorisation to conduct the research. Due to the research design (retrospective), informed consent was not required.</p>
            <p>The ethical principles of the Declaration of Helsinki were applied with respect to the confidentiality and veracity of the data collected during the course of the study, which are faithfully presented. Personal identity data and patient privacy were protected. Authorship contributions and transparency in conflicts of interest were reported.
                <sup>
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup>
            </p>
        </sec>
    </body>
    <back>
        <sec id="sec17" sec-type="data-availability">
            <title>Data availability</title>
            <p>Zenodo: Data base Peripheral neuropathic and renal complications in patients with diabetes mellitus 2. Available at 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.15468019">https://doi.org/10.5281/zenodo.15468019</ext-link>
                <sup>
                    <xref ref-type="bibr" rid="ref54">54</xref>
                </sup>
            </p>
            <p>This project contain the following underlying data:
                <list list-type="order">
                    <list-item>
                        <label>1.</label>
                        <p>Dictamen 317 Ethic Committee UCV,</p>
                    </list-item>
                    <list-item>
                        <label>2.</label>
                        <p>Dictamen Ethic Committee Essalud</p>
                    </list-item>
                    <list-item>
                        <label>3.</label>
                        <p>Risk diabetes foot database</p>
                    </list-item>
                    <list-item>
                        <label>4.</label>
                        <p>STROBE check list</p>
                    </list-item>
                </list>
            </p>
            <sec id="sec18">
                <title>Reporting guidelines</title>
                <p>Zenodo: STROBE checklist for &#x2018;Peripheral neuropathic and renal complications in patients with diabetes mellitus 2. A retrospective Study&#x2019;. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.15468019">https://doi.org/10.5281/zenodo.15468019</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref54">54</xref>
                    </sup>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.2147/IJNRD.S489891">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgement</title>
            <p>None</p>
        </ack>
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