Keywords
FBS, HBA1c, T2DM, HDL-C, and HDL-C
Background: Type 2 diabetes mellitus (T2DM) and its consequences are a serious global public health issue. By 2030, the number of people with type 2 diabetes is predicted to reach 439 million. The purpose of this study is to evaluate the plasma levels of glucose, HbA1c, insulin, and lipid profile in Sudanese T2DM patients.
Methods: This case control study included 165 Sudanese patients with diabetic type 2 and a cardiovascular condition as cases and 165 diabetic type 2 volunteers without a cardiovascular disorder as controls. The concentrations of plasma glucose, HbA1c, and lipid profile were assessed using a Mindray BS-480 auto-chemistry analyzer, and insulin was analyzed using a Cobase 411 auto analyzer. The collected data were analyzed using statistical tools for social science computer programs (SPSS version 21).
Results: According to the findings, (59.4%) of patients between the ages of (50-69). Females made up 50.9%. (38.2%) of patients had an illness duration of between (8-15 years). (41.8%) of individuals did not have hypertension. There was a substantial rise in BMI, FBG, HbA1c, HDL-C, and insulin among diabetics with cardiovascular disease compared to diabetics without cardiovascular disease (p-value = 0.001, 0.000, 0.018, and 0.000). Females had significantly higher blood TC, LDL-C, HDL-C, and BMI than males (p-values = 0.000, 0,001, and 0.000, respectively). There were significant positive correlation between FBS, HBA1c, insulin and duration of disease (r=0.155, p, value=0.005) (r=0.160, p, value=0.004)(r=0.103, p. value=0.061)respectively, while there were significant negative correlation between TC, TG,LDL-C, HDL-C and duration of disease (r=-0.152, p, value= 0.006)(r=-0.023, p, value=0.678)(r=-0.113, p, value= 0.040)(r=-0.145, p, value=0.008)respectively.
Conclusion: When comparing diabetics with cardiovascular disease to diabetics without cardiovascular disease, there was a substantial rise in BMI, FBG, HbA1c, HDL-C, and insulin. FBS, HBA1c, insulin, and illness duration all had a strong positive connection.
FBS, HBA1c, T2DM, HDL-C, and HDL-C
We have added add in Table 1 the family history of cardiovascular complications.
Also, we have added the risk factors.
To read any peer review reports and author responses for this article, follow the "read" links in the Open Peer Review table.
T2DM has no established cause, however it is known to be caused by physiological, genetic, and environmental variables such as obesity, family history, and pollution (Yang et al., 2018). T2DM and its consequences are a major global public health issue, and cardiovascular disease (CVD) represents a significant health burden in Sub-Saharan Africa, including Sudan (Almobarak et al., 2018).
In fact, T2DM and CVD share several risk factors, such as obesity, hypertension, hyperglycemia, insulin resistance, serum lipid and lipoprotein abnormalities, which are defined mostly by high serum triglycerides and low levels of high-density lipoprotein (HDL) cholesterol (Rosa et al., 2018; Vepsäläinen, 2013) Hypertension in people with diabetes increases the risk of peripheral arterial disease, as well as dyslipidaemia, which is a significant risk factor for developing macrovascular complications in diabetic patients and contributes to an increased risk of coronary heart disease (World Health Organization, 2006; Chokshi et al., 2013). Diabetes, hypertension, and obesity or being overweight all raise the risk of cardiovascular problems and other morbidities (Brown et al., 2000). Insulin resistance, on the other hand, has been linked to a two to five-fold increase in CVD mortality and is a mixture of multiple cardiometabolic risk factors such as obesity, poor glucose metabolism, hypertension, and dyslipidemia. It is also a risk factor for type 2 diabetes (Vepsäläinen, 2013). A recent study in Sudan found that low HDL is a common trait in two-thirds of diabetics, whereas high cholesterol and triglycerides were found in more than a quarter (Awadalla et al., 2018).
The evaluation of these lipid pathways and insulin resistance in Sudanese diabetes, in addition to the recurrent lipid profile study, may be an important cooperative step in the prediction of CVD since these atherogenic impacts may be mitigated by lifestyle changes. As a result, the purpose of this study was to evaluate the plasma levels of glucose, HbA1c, insulin, and lipid profile in Sudanese patients with T2DM.
This analytical case control study was approved by the Clinical Chemistry Department and the Research Committee of the College of Medical Laboratory Science at Sudan University of Science and Technology, ethical approval No (DSR – IEC – 02 – 1 – 2020), a written informed consent was taken from all participants in the study for data collection and publication. Between March 2020 and August 2021, the research was conducted in the Zenam Diabetic Center and Sudan Cardic Center at Khartoum Siate. The case group consisted of 165 Sudanese patients with diabetes type 2 and a cardiovascular condition who were diagnosed by physicians, whereas the control group consisted of 165 diabetic type 2 volunteers who did not have a cardiovascular problem (the sample size was calculated by using sample size Formula n = p = the proportion to the target population. q = 1-p z = the standard normal deviation, usually set at 1.96, which correspond to the level 95% confidence level, d = degree of accuracy desired, set at 0.05). Patients with renal, liver, or thyroid disease, as well as those who smoked, drank, or had hepatitis A, B, or C, were excluded from the study as all that conditions may affect the levels of tested parameters. The risk factor criteria were Obesity, high blood pressure, high LDL or low HDL cholesterol levels, family history CVD and age.
The case and control groups were age matched, ranging from 30 to 100 years old. The demographic data was acquired via a questionnaire after all participants gave their informed permission. The heights and weights of all the participants were measured. The BMI was computed by dividing the weight (kg) by the square of the height (m2) as proposed by Romero et al. (2012). Only one sample was obtained from each participant by using conventional vein puncture procedure, accordingly; 3 ml of blood was collected into a heparin container, spun at 3000 rpm for 3 minutes, and plasma was recovered and kept at -20°C until evaluated.
The concentrations of plasma glucose, HbA1c, and lipid profiles were determined using a Mindray BS-480 auto-chemistry analyzer, whereas insulin levels were determined using a Cobase 411 auto analyzer as proposed by Annani-Akollor et al. (2019). To ensure the accuracy and precision of the results, a level of control and calibrator given by the manufacturer in the reagent kit was evaluated using a sample run on a Mindary BS 480 auto analyzer.
The information gathered was analyzed with the use of a computer application called statistical packages for social science (SPSS version 21). The results were reported as percentages with a mean and standard deviation; No data were missed. To compare means in groups and subgroups; the ANOVA test was employed, and Pearson's correlation test was utilized to establish the relationship between study variables. Statistical significance was defined as a p-value of less than 0.05.
In this study, 330 people were included, with 165 diabetes type 2 patients with cardiovascular disease as the case group and 165 diabetic type 2 patients without cardiovascular disease as the control group. The findings revealed that 11.5% aged 30 to 49 years, 59.4% of patients aged 50 to 69 years, and 29.1% of patients aged 70 to 100 years were in the 30 to 49 age group, 59.4% of patients aged 50 to 69 years, and 29.1% of patients aged 70 to 100 years. Females accounted for 50.9% of the total, while men accounted for 49.1%. Duration of DM (33.3%) ranges from one month to seven years, (38.2%) from eight to fifteen years, and (28.5%) from sixteen to twenty-five years (More than 15 years). HTN lasted 24.2% (from 1 month to 7 years), 17.6% of the time (8-15 years), 16.4% of the time (more than 15 years), and 41.8% of the time there was no HTN. When comparing diabetics with cardiovascular disease to diabetics without cardiovascular disease, there was a substantial rise in BMI (29.4 5.3 kg/m2, p value = 0.001) as in Table 1.
The biochemical differences between people with and without cardiovascular disease shown in Table 2, there were significant increases in FBG, HBA1c, TG, HDL-c, and insulin between the two groups with p values 0.05, but no significant statistical difference in TC and LDL-c with p values > 0.05. (2).
As shown in Table 3, females had a significantly higher BMI, TC, LDL-C, and HDL-C than males, but FBG, HBA1c, TG, and insulin levels were not significantly different.
The results indicated that HBA1candinsulin had a significant positive association with age, whereas LDL-c had a significant negative correlation with age. FBS, TC, TG, and HDL-c had no correlation with age. FBS, HBA1c, TC, TG, HDL-c, LDL-c, insulin, and BMI had no link, but there was a substantial positive correlation between FBS, HBA1c, and insulin and diabetes duration. As shown in Table 4, there was a strong negative association between TC, HDL-c, and LDL-c and diabetes duration, but no link between TG, insulin, and diabetes length.
The overall features of research participants revealed that patients aged 50-69 years old had the largest proportion of diabetics with cardiovascular disease. This finding was also obtained by Wu et al. (2015) who stated that the prevalence was greater among people aged 50 and older, as well as Teo and Dokainish (2017) reported that, the prevalence of CVD increased with age. Females had a larger prevalence of diabetic patients with cardiovascular complications (50.9%) than men (49.1 percent), this conclusion is similar to that of Teo and Dokainish (2017), which revealed a greater frequency of CVD in females.
The frequency of diabetic complications was much greater in individuals who had diabetes for a longer period of time. These findings are consistent with the findings of the Alam et al. (2021), which stated that long-term exposure to diabetes causes several diabetic problems. Furthermore, Rana et al. (2016) stated that patients with diabetes for more than ten years should be regarded to have a higher risk of cardiovascular disease.
This study found a significant difference in mean BMI, FBG, HBA1c, triglycerides, and insulin hormones between the two groups (P values 0.000, 0.001, 0.000, 0.015, and 0.000, respectively), as well as a significant decrease in mean HDL-C (P value 0.018), while there was no significant statistical difference in total cholesterol and LDL-C (P value > 0.05). Patients with T2DM at the LDL-C goal are nevertheless at a considerable risk of CVD events, according to a research by Timón et al. (2014) reported that, this residual risk is linked to a number of variables, including an increase in TG-rich proteins, a drop in HDL-C, and generalized obesity as measured by the body mass index (BMI), which is linked to a number of CVD risk factors and cardiovascular risk in T2DM patients.
This study found a significant increase in mean BMI, total cholesterol, HDL-C, and LDL-C in diabetic females when compared to diabetic males with a p value of 0.000. This finding is in line with another study that found: The prevalence of overweight in men and women varies depending on the country's level of development; higher BMI is more prevalent in men than women in high-income countries, whereas in low and middle-income countries, particularly in Arab countries, found a significant increase in mean BMI, total cholesterol, HDL-C, and LDL-C in women than men (Aderibigbe et al., 2018).
With a p value of > 0.05, there is no statistically significant difference in FBG, HBA1c, triglycerides, or insulin hormones. This finding is comparable to that of Moor et al. (2017) who found that mean total cholesterol and LDL-C levels were greater in women than in men, with a statistically significant difference, whereas HDL-C and triglycerides were not. This finding is also in line with that of Bertoluci and Rocha (2017) who found that women with diabetes had a greater chance of dying from cardiovascular causes than men.
Our research found a substantial positive link between HBA1c, insulin hormone levels, and diabetes patients' age (r = 0.115, p-value = 0.037, r = 0.122, p-value = 0.027). This result was verified by Huang et al. (2021) who found that there was a positive association between HBA1c level and age (Huang et al., 2021).
Although there was a significant negative association between LDL-C and age (r = -0.123, p = 0.026), there was no correlation between study parameters and BMI in this research. A significant positive correlation was also found between FBs, HBA1c level, and Duration of DM (r = 0.155, p-value = 0.005, r = 0.160, p-value = 0.004), as well as a significant negative correlation between total cholesterol, HDL-C, LDL-C, and Duration of DM (r = -0.152, p-value = 0.006, r = - 0.145, p-value = 0.040, r = -0.113, p = 0.040. This result is similar to another result from a study carried out by Priya and Begum (2020), which found a substantial positive link between HBA1c, total cholesterol, LDL-C, and duration of diabetes, but a significant negative correlation between HDL-C and duration of diabetes (Priya and Begum, 2020).
Figshare. Salsabil. DOI: https://doi.org/10.6084/m9.figshare.19375664.v2 (AbdAlla et al., 2022)
Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC BY 4.0 Public domain dedication).
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Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Clinical diabetes care
Competing Interests: No competing interests were disclosed.
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
No
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Diabetes, Thyroid diseases
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Diabetes research
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Clinical diabetes care
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