<?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.177399.1</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>RELATIONSHIP BETWEEN DOPPLER VELOCIMETRY AND FOETAL GROWTH IN PREECLAMPTIC PREGNANCIES IN MTHATHA, SOUTH AFRICA: A Cross-sectional Cohort Study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Mabuto</surname>
                        <given-names>Chuma</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</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>
                    <uri content-type="orcid">https://orcid.org/0000-0003-3888-3956</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Nkeh-Chungag</surname>
                        <given-names>Benedicta Ngwenchi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4805-4051</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Businge</surname>
                        <given-names>Charles</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Gubu-Ntaba</surname>
                        <given-names>Nonstikelelo</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sotobe-Mbana</surname>
                        <given-names>Nandipha</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ackah</surname>
                        <given-names>Ebenezer</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/">Project Administration</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1379-0999</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mdondolo</surname>
                        <given-names>Mziwohlanga</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Feketshane</surname>
                        <given-names>Anthony Mfundo</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Selanto-Charman</surname>
                        <given-names>Nonkosi Pinky</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Goswami</surname>
                        <given-names>Nandu</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6704-0723</uri>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Noah</surname>
                        <given-names>Tandi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Matjuda</surname>
                        <given-names>Ngoakoana Edna</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mfenyana</surname>
                        <given-names>Yamkela</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Zamxaka</surname>
                        <given-names>Ongeziwe</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ndlovu</surname>
                        <given-names>Nomagugu</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-8221-1810</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Akah</surname>
                        <given-names>Roland Tiagha</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <uri content-type="orcid">https://orcid.org/0009-0002-1579-4854</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Enoh</surname>
                        <given-names>Jude Eteneneng</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sewani-Rusike</surname>
                        <given-names>Constance Rufaro</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</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/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Human Biology, Walter Sisulu University, Mthatha, Eastern Cape, 5099, South Africa</aff>
                <aff id="a2">
                    <label>2</label>Biological and Environmental Sciences, Walter Sisulu University, Mthatha, Eastern Cape, 5099, South Africa</aff>
                <aff id="a3">
                    <label>3</label>Gynaecology and Obstetrics, Nelson Mandela Academic Hospital, Mthatha, Eastern Cape, 5099, South Africa</aff>
                <aff id="a4">
                    <label>4</label>Gynaecology and Obstetrics, Mthatha Regional Hospital, Mthatha, 5099, South Africa</aff>
                <aff id="a5">
                    <label>5</label>Gynaecology and Obstetrics, Frere Hospital, Mthatha, Eastern Cape, 5200, South Africa</aff>
                <aff id="a6">
                    <label>6</label>Gravitational Physiology, Aging and Medicine, Medical University of Graz, Graz, Austria, Austria</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:216050464@mywsu.ac.za">216050464@mywsu.ac.za</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>12</day>
                <month>5</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>721</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>22</day>
                    <month>4</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Mabuto C 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/15-721/pdf"/>
            <abstract>
                <sec>
                    <title>Objectives</title>
                    <p>Preeclampsia is a severe form of hypertensive disorder of pregnancy, with adverse outcomes for both mothers and their foetuses worldwide. This disorder affects South Africa disproportionately due to socio-economic challenges. This study aimed to evaluate the impact of maternal preeclampsia on foetal growth and vascular function in the Eastern Cape Province of South Africa.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>A cross-sectional study design recruiting 30 preeclamptic and 30 normotensive pregnant women aged 18&#x2013;35&#x00a0;years with singleton pregnancies was used. A lifestyle/health questionnaire was administered to all participants. Foetal biometry, including head circumference, abdominal circumference, biparietal diameter, femur length, estimated foetal weight, and Doppler velocimetry parameters, were assessed using transabdominal and Doppler ultrasound.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Preeclamptic women demonstrated a higher incidence of tobacco (25% vs 7%, p&#x00a0;&lt;&#x00a0;0.001) and alcohol use (65% vs 13%, p&#x00a0;&lt;&#x00a0;0.001) and a history of preeclampsia (64% vs 17%, p&#x00a0;&lt;&#x00a0;0.001). Foetal measurements showed reduced head circumference (255&#x00a0;&#x00b1;&#x00a0;74.41&#x00a0;mm vs 293.85&#x00a0;&#x00b1;&#x00a0;13.18&#x00a0;mm, p&#x00a0;=&#x00a0;0.05) and estimated foetal weight (1609&#x00a0;&#x00b1;&#x00a0;326.91&#x00a0;g vs 1987.53&#x00a0;&#x00b1;&#x00a0;403.43&#x00a0;g, p&#x00a0;=&#x00a0;0.05) in preeclamptic pregnancies, while Doppler indices, such as uterine artery pulsatile index and middle cerebral artery resistive index, were elevated (1.52&#x00a0;&#x00b1;&#x00a0;0.70 and 0.88&#x00a0;&#x00b1;&#x00a0;0.12). Multiple linear regression outcomes showed that the middle cerebral artery pulsatile index (MCA PI) positively predicted foetal head circumference (&#x03b2;&#x00a0;=&#x00a0;0.568, p&#x00a0;=&#x00a0;0.02). Conversely, the MCA resistive index negatively predicted foetal head circumference (&#x03b2;&#x00a0;=&#x00a0;&#x2212;0.716, p&#x00a0;=&#x00a0;0.004), suggesting that each unit increase in the resistive index results in a 0.716&#x00a0;cm decrease in foetal head circumference.</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>The findings of this study showed that foetal growth and development are directly affected by maternal preeclampsia, emphasising the importance of using specialised techniques such as Doppler velocimetry to predict foetal outcomes and potentially designing targeted interventions to improve perinatal care strategies in high-risk populations.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Preeclampsia</kwd>
                <kwd>foetal biometry</kwd>
                <kwd>Doppler velocimetry</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="https://doi.org/10.13039/501100001322">
                    <funding-source>South African Medical Research Council</funding-source>
                </award-group>
                <award-group id="fund-2">
                    <funding-source>DSI-NRF</funding-source>
                </award-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <def-list>
            <title>List of abbreviations</title>
            <def-item>
                <term id="G1">AC</term>
                <def>
                    <p>Abdominal circumference</p>
                </def>
            </def-item>
            <def-item>
                <term id="G2">BPD</term>
                <def>
                    <p>Biparietal diameter</p>
                </def>
            </def-item>
            <def-item>
                <term id="G3">CI</term>
                <def>
                    <p>Confidence interval</p>
                </def>
            </def-item>
            <def-item>
                <term id="G4">cm</term>
                <def>
                    <p>centimeters</p>
                </def>
            </def-item>
            <def-item>
                <term id="G5">CVDs</term>
                <def>
                    <p>Cardiovascular diseases</p>
                </def>
            </def-item>
            <def-item>
                <term id="G6">DVP</term>
                <def>
                    <p>Deepest vertical pocket</p>
                </def>
            </def-item>
            <def-item>
                <term id="G7">EFW</term>
                <def>
                    <p>Estimated foetal weight</p>
                </def>
            </def-item>
            <def-item>
                <term id="G8">FL</term>
                <def>
                    <p>Femur length</p>
                </def>
            </def-item>
            <def-item>
                <term id="G9">HC</term>
                <def>
                    <p>Head circumference</p>
                </def>
            </def-item>
            <def-item>
                <term id="G10">HREC</term>
                <def>
                    <p>Health Sciences Research Ethics Committee</p>
                </def>
            </def-item>
            <def-item>
                <term id="G11">MCA PI</term>
                <def>
                    <p>Middle cerebral artery pulsatile index</p>
                </def>
            </def-item>
            <def-item>
                <term id="G12">MCA RI</term>
                <def>
                    <p>Middle cerebral artery resistive index</p>
                </def>
            </def-item>
            <def-item>
                <term id="G13">mm</term>
                <def>
                    <p>millimeters</p>
                </def>
            </def-item>
            <def-item>
                <term id="G14">PE</term>
                <def>
                    <p>Preeclampsia</p>
                </def>
            </def-item>
            <def-item>
                <term id="G15">SD</term>
                <def>
                    <p>Standard deviation</p>
                </def>
            </def-item>
            <def-item>
                <term id="G16">SE</term>
                <def>
                    <p>Standard error</p>
                </def>
            </def-item>
            <def-item>
                <term id="G17">SPSS</term>
                <def>
                    <p>Statistical Package for the Social Sciences</p>
                </def>
            </def-item>
            <def-item>
                <term id="G18">Umbilical PI</term>
                <def>
                    <p>Umbilical vein pulsatile index</p>
                </def>
            </def-item>
            <def-item>
                <term id="G19">Umbilical RI</term>
                <def>
                    <p>Umbilical vein resistive index</p>
                </def>
            </def-item>
            <def-item>
                <term id="G20">UtA PI</term>
                <def>
                    <p>Uterine artery pulsatile index</p>
                </def>
            </def-item>
            <def-item>
                <term id="G21">UtA RI</term>
                <def>
                    <p>Uterine artery resistive index</p>
                </def>
            </def-item>
            <def-item>
                <term id="G22">WSU</term>
                <def>
                    <p>Walter Sisulu University</p>
                </def>
            </def-item>
        </def-list>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Preeclampsia is a hypertensive disorder of pregnancy, affecting 3&#x2013;5% of pregnancies globally.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> This disorder is responsible for 2% to 8% of pregnancy-related complications, more than 50,000 maternal deaths, and over 500,000 foetal deaths worldwide.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Wagner defined the diagnostic criteria for preeclampsia as a systolic blood pressure of 140&#x00a0;mmHg or higher or a diastolic blood pressure of 90&#x00a0;mmHg or higher on two separate occasions, at least 4&#x00a0;hours apart, with traces of protein in urine.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> As an alternative, 110&#x00a0;mmHg or higher for diastolic blood pressure or 160&#x00a0;mmHg for systolic blood pressure with proteinuria after 20&#x00a0;weeks of gestation. These are consistent with the Mayo and Cleveland Clinics&#x2019; definitions of the disorder. The American College of Obstetricians and Gynaecologists and the European Society of Cardiology define preeclampsia as a pregnancy-specific disorder characterised by new-onset hypertension with end-organ dysfunction, occurring after the 20
                <sup>th</sup> week of gestation in a previously normotensive woman.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>,
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> The pathophysiology of preeclampsia is multifaceted and not yet fully understood, though placental insufficiency, endothelial dysfunction, and oxidative stress are considered central mechanisms.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Although the implications of preeclampsia can be serious for the mother, it also has profound effects on foetal development, often leading to growth restriction, preterm delivery, and increased perinatal mortality.</p>
            <p>Doppler velocimetry and foetal biometry are crucial ultrasonographic tools for assessing foetal health in preeclamptic pregnancies. These techniques provide insight into foetal growth parameters and placental blood flow, providing a window into the effects of maternal vascular dysfunction on the developing foetus.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> Previous studies have established that abnormal Doppler indices, such as elevated uterine artery pulsatile index (UtA PI) and middle cerebral artery resistance index (MCA RI), are indicative of impaired placental perfusion and foetal hypoxia.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> However, the extent to which these indices correlate with specific growth parameters remains an area of active investigation.</p>
            <p>In South Africa, where socio-economic disparities influence maternal and neonatal health outcomes, understanding the impact of preeclampsia on foetal growth is critical for improving clinical care and reducing adverse outcomes. This study focuses on mother-perinate pairs who received antenatal and postnatal care at Nelson Mandela Academic Hospital in Mthatha, Eastern Cape Province. This study aims to elucidate the relationship between maternal vascular health and foetal development in preeclampsia-related preeclamptic pregnancies by evaluating foetal biometry and Doppler indices.</p>
        </sec>
        <sec id="sec2">
            <title>Materials and methods</title>
            <sec id="sec3">
                <title>Study design and population</title>
                <p>This was a cross-sectional case-control study involving 30 preeclamptic pregnant women and 30 normotensive mothers and their perinates recruited at the Nelson Mandela Academic Hospital, Mthatha, Eastern Cape Province of South Africa.</p>
            </sec>
        </sec>
        <sec id="sec22">
            <title>Ethics approval and consent to participate</title>
            <p>Ethical clearance to conduct this study was granted by the Walter Sisulu University Health Sciences Research Ethics Committee (WSU HREC 019/2025). This study was authorised by the Eastern Cape Department of Health and the Nelson Mandela Academic Hospital&#x2019;s Gynaecology and Obstetrics Department. Informed written consent and assent were obtained from the mothers during recruitment. This study adhered to the principles of the Declaration of Helsinki to protect participants.</p>
            <sec id="sec4">
                <title>Inclusion criteria</title>
                <p>Preeclamptic and normotensive pregnant women aged between 18&#x2013;35&#x00a0;years with singleton pregnancies were included in the study.</p>
            </sec>
            <sec id="sec5">
                <title>Exclusion criteria</title>
                <p>Pregnant women with chronic hypertension, type 2 diabetes, gestational diabetes, renal and CVDs, or any critical health condition were excluded from the study. Furthermore, data were not collected from eligible pregnant women who revoked their consent to participate in the study.</p>
            </sec>
            <sec id="sec6">
                <title>Data collection</title>
                <p>Ethical clearance to conduct this study was obtained from the Walter Sisulu University Health Sciences Research Ethics Committee (WSU HREC 019/2025). This study is part of the study on the Assessment of the Cardiovascular Risk Profile of Infants Exposed to Pre-eclampsia 
                    <italic toggle="yes">in-utero
</italic>: A Prospective Case-Control Study in South African Children of African Ancestry, registered on 2021-10-25, with the NIH 
                    <ext-link ext-link-type="uri" xlink:href="http://ClinicalTrials.gov">ClinicalTrials.gov</ext-link> (Protocol 
                    <ext-link ext-link-type="uri" xlink:href="https://ClinicalTrials.gov">https://ClinicalTrials.gov</ext-link> Identifier: 
                    <ext-link ext-link-type="uri" xlink:href="http://clinicaltrials.gov/ct2/results?term=NCT05091827">NCT05091827</ext-link>; 
                    <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/ct2/show/NCT05091827">https://clinicaltrials.gov/ct2/show/NCT05091827</ext-link>).
                    <sup>
                        <xref ref-type="bibr" rid="ref9">9</xref>
                    </sup>
                </p>
                <p>A standard interviewer-administered structured questionnaire
                    <sup>
                        <xref ref-type="bibr" rid="ref10">10</xref>
                    </sup> collected information on maternal health and cardiovascular risk factors. This information included sociodemographics (age, ethnicity, and location), socio-economic status (marital status, profession, income/revenue, and living standard), maternal obstetric history, family history, cardiometabolic health history, and cardiovascular risk factors (physical exercise, smoking, alcohol consumption, and feeding habits.</p>
            </sec>
            <sec id="sec7">
                <title>Foetal biometry and doppler velocimetry measurements</title>
                <p>Foetal biometry and Doppler indices were assessed using transabdominal and Doppler ultrasound per the SCoR/BMUS Guidelines for Professional Ultrasound Practice.
                    <sup>
                        <xref ref-type="bibr" rid="ref11">11</xref>
                    </sup> The foetal biometry parameters assessed included the deepest vertical pocket (DVP), head circumference (HC), abdominal circumference (AC), femoral length (FL), biparietal diameter (BPD), estimated foetal weight (EFW); the uterine arteries (both the resistive and pulsatile indices), umbilical pulsatile index and resistive index as well as the middle cerebral artery pulsatile index (MCA PI) and its resistive index.</p>
            </sec>
            <sec id="sec8">
                <title>Statistical analysis</title>
                <p>The IBM Statistical Package for Social Sciences (SPSS) Version 23.0 (IBM Corp) was used for data analysis. The Smirmov-Kolmogorov test was used to check for normality, and the data were corrected for outliers where necessary. Descriptive statistics were employed for data presentation as mean&#x00a0;&#x00b1;&#x00a0;standard deviation (SD) and proportions (percentages) for categorical variables. An independent sample t-test was used to compare mean differences between groups (perinates of pre-eclamptic and normotensive pregnant women). Pearson correlations were used to assess the relationship between foetal biometry and Doppler indices. Multiple linear regression analyses were performed to predict foetal outcomes. Differences were considered statistically significant at p&#x00a0;&#x2264;&#x00a0;0.05.</p>
            </sec>
        </sec>
        <sec id="sec9" sec-type="results">
            <title>Results</title>
            <sec id="sec10">
                <title>Maternal characteristics</title>
                <p>A total of 60 pregnant women (30 preeclamptic and 30 normotensive) and their perinates were recruited into the study. Women with preeclampsia were older than their normotensive counterparts, with a mean age of 28.96&#x00a0;&#x00b1;&#x00a0;1.92 vs. 26.19&#x00a0;&#x00b1;&#x00a0;0.98&#x00a0;years, and most of them were multiparous. 64% of the preeclamptic group had been diagnosed with preeclampsia before, compared to 17% in the normotensive group. Preeclamptic women reported 24% and 65% tobacco and alcohol use compared to 7% and 13%, respectively, in the normotensive group (see 
                    <xref ref-type="table" rid="T1">
Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Maternal general information.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="2" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Preeclamptic N&#x00a0;=&#x00a0;30</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Normotensive N&#x00a0;=&#x00a0;30</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
P-value
</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Age (years) (mean&#x00a0;&#x00b1;&#x00a0;SD)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.96&#x00a0;&#x00b1;&#x00a0;1.92</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.23&#x00a0;&#x00b1;&#x00a0;0.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.35</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">Parity</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Nulliparous (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">58</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Multiparous (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">76</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">History of PE</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Smoking</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Alcohol consumption</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Physically active</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.74</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Standard deviation (SD), Preeclampsia (PE).</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec11">
                <title>Foetal biometry</title>
                <p>Perinates from preeclamptic pregnancies tended to be smaller compared to those from normotensive pregnancies. They had smaller head circumference (255&#x00a0;&#x00b1;&#x00a0;74.41&#x00a0;mm vs 293.85&#x00a0;&#x00b1;&#x00a0;13.18&#x00a0;mm, p&#x00a0;=&#x00a0;0.05), abdominal circumference (236.84&#x00a0;&#x00b1;&#x00a0;69.44&#x00a0;mm vs 288.29&#x00a0;&#x00b1;&#x00a0;23.83&#x00a0;mm, p&#x00a0;=&#x00a0;0.06) and estimated foetal weight (1609&#x00a0;&#x00b1;&#x00a0;326.91&#x00a0;g vs 1987.53&#x00a0;&#x00b1;&#x00a0;403.43&#x00a0;g, p&#x00a0;=&#x00a0;0.05) (see 
                    <xref ref-type="table" rid="T2">
Table 2</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Foetal biometry in preeclamptic pregnancies.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Preeclamptic Perinates</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Normotensive Perinates</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
P-value
</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">n</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">DVP (cm)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.66&#x00a0;&#x00b1;&#x00a0;1.10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.70&#x00a0;&#x00b1;&#x00a0;1.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.45</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Head circumference (mm)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">255&#x00a0;&#x00b1;&#x00a0;74.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">293.85&#x00a0;&#x00b1;&#x00a0;13.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.05</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Abdominal circumference (mm)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">236.84&#x00a0;&#x00b1;&#x00a0;69.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">288.29&#x00a0;&#x00b1;&#x00a0;23.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.06</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Femur length (mm)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53.64&#x00a0;&#x00b1;&#x00a0;15.80</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">61.87&#x00a0;&#x00b1;&#x00a0;7.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.19</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Biparietal diameter (mm)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">78.27&#x00a0;&#x00b1;&#x00a0;4.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">80.95&#x00a0;&#x00b1;&#x00a0;3.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.10</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Estimated foetal weight (g)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1609&#x00a0;&#x00b1;&#x00a0;326.91</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1987.53&#x00a0;&#x00b1;&#x00a0;403.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.05</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Deepest vertical pocket (DVP).</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec12">
                <title>Doppler velocimetry</title>
                <p>The right uterine artery pulsatile index (UtA PI) was significantly higher in preeclamptic pregnancies compared to normotensive pregnancies (1.52&#x00a0;&#x00b1;&#x00a0;0.70 vs 1.06&#x00a0;&#x00b1;&#x00a0;0.37, p&#x00a0;=&#x00a0;0.05). The middle cerebral artery pulsatile index (MCA PI) was significantly higher in preeclamptic pregnancies compared to normotensive pregnancies (2.17&#x00a0;&#x00b1;&#x00a0;0.76 vs 1.99&#x00a0;&#x00b1;&#x00a0;0.39, p&#x00a0;=&#x00a0;0.04). The MCA resistance index (MCA RI) was also significantly higher in preeclamptic pregnancies (0.88&#x00a0;&#x00b1;&#x00a0;0.12) compared to normotensive pregnancies (0.86&#x00a0;&#x00b1;&#x00a0;0.07), with a p-value of 0.01 (
                    <xref ref-type="table" rid="T3">
Table 3</xref>).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Doppler indices.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Preeclamptic</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Normotensive</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
P-value
</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">N</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Right UtA PI</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.52&#x00a0;&#x00b1;&#x00a0;0.70</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.06&#x00a0;&#x00b1;&#x00a0;0.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.05</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Right UtA RI</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.80&#x00a0;&#x00b1;&#x00a0;0.34</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.60&#x00a0;&#x00b1;&#x00a0;0.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.23</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Umbilical PI</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.17&#x00a0;&#x00b1;&#x00a0;0.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.15&#x00a0;&#x00b1;&#x00a0;0.35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.71</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Umbilical RI</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.73&#x00a0;&#x00b1;&#x00a0;0.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.63&#x00a0;&#x00b1;&#x00a0;0.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.56</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">MCA PI</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.17&#x00a0;&#x00b1;&#x00a0;0.76</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.99&#x00a0;&#x00b1;&#x00a0;0.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.04</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">MCA RI</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.88&#x00a0;&#x00b1;&#x00a0;0.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.86&#x00a0;&#x00b1;&#x00a0;0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.01</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Uterine artery pulsatility index (UtA PI), Resistive index (RI), pulsatility index (PI), middle cerebral artery pulsatility index (MCA PI), middle cerebral artery resistive index (MCA RI).</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>Pearson&#x2019;s correlations were performed to determine the relationships between Doppler indices and foetal biometry. The uterine pulsatile index showed a positive association with biparietal diameter (r&#x00a0;=&#x00a0;0.410, p&#x00a0;=&#x00a0;0.05) and the estimated foetal weight in preeclamptic pregnancies (r&#x00a0;=&#x00a0;0.448, p&#x00a0;=&#x00a0;0.04). The R
                    <sup>2</sup> for these associations implied that approximately 16.81% and 28.36% variability in biparietal diameters and estimated foetal weights in this group may be attributed to the fluctuations in uterine artery pulsatile indices. However, these relationships were not statistically significant in the normotensive group. The middle cerebral artery pulsatile index and its associated resistive index exhibited negative correlations with biparietal diameter in the preeclampsia-affected group (r&#x00a0;=&#x00a0;&#x2212;0.407, p&#x00a0;=&#x00a0;0.06 and r&#x00a0;=&#x00a0;&#x2212;0.463, p&#x00a0;=&#x00a0;0.03) (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Associations between Doppler indices and foetal biometry.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/195619/a2ec4635-e3b0-4fee-a97c-95370657e8c3_figure1.gif"/>
                </fig>
                <p>Multiple regression models were designed to assess the relationship between foetal head circumference and middle cerebral artery pulsatile and resistive indices (MCA PI &amp; MCA RI) as key predictors. The overall model had an R
                    <sup>2</sup> of 0.337 and p&#x00a0;=&#x00a0;0.04, the adjusted R
                    <sup>2</sup>&#x00a0;=&#x00a0;0.204 and p&#x00a0;=&#x00a0;0.04. The middle cerebral artery pulsatile index (MCA PI) emerged as a strong positive predictor for foetal head circumference (&#x03b2;&#x00a0;=&#x00a0;0.568, p&#x00a0;=&#x00a0;0.02). This implies that for every unit increase in the MCA pulsatile index, foetal head circumference increases by an average of 0.568&#x00a0;cm. Conversely, the MCA resistive index significantly predicted foetal head circumference (&#x03b2;&#x00a0;=&#x00a0;&#x2212;0.716, p&#x00a0;=&#x00a0;0.004), suggesting that each unit increase in the resistive index results in a 0.716&#x00a0;cm decrease in foetal head circumference. The model showed that MCA PI and MCA RI contributed significantly to foetal cranial development (
                    <xref ref-type="table" rid="T4">
Table 4</xref>).</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>Multiple linear regression outcome between foetal head circumference (HC) and the middle cerebral artery pulsatile and resistive indices (MCA PI &amp; MCA RI) as the predictors.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="6" rowspan="1" valign="top">Adjusted R
                                    <sup>2</sup>&#x00a0;=&#x00a0;0.204</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Standardized &#x03b2;</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Standard error (SE)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">95% CI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">t-value
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
P-value
</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">MCA PI</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.568</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.401</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">[8.477; 99.976]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.421</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.02</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">MCA RI</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.716</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">137.765</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">[&#x2212;714.946; &#x2212;152.239]</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;3.147</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.004</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Dependent variables are head circumference (HC), confidence interval (CI), middle cerebral artery pulsatility index (MCA PI), and middle cerebral artery resistive index (MCA RI).</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec13" sec-type="discussion">
            <title>Discussion</title>
            <p>The study highlights significant differences in maternal characteristics, foetal biometry, and Doppler indices between preeclamptic and normotensive pregnancies. Women with preeclampsia had a higher prevalence of a history of preeclampsia, smoking, and alcohol consumption. Perinates in preeclamptic pregnancies were smaller and had higher uterine artery resistive indices.</p>
            <p>The current study aligns with previous reports suggesting that a history of preeclampsia is an important contributor to the development of preeclampsia.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> In fact, a retrospective study of the Swedish Birth Register from 1987&#x2013;2004, in which a total of 1,430,464 deliveries were included, showed that preeclampsia occurred more commonly in women who had had preeclampsia before. The study showed a 14.7% reoccurrence rate of preeclampsia in a second pregnancy and 31.9% in a third pregnancy.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
            </p>
            <p>In terms of foetal biometry, foetuses from preeclamptic pregnancies exhibited significantly smaller head circumferences and lower estimated foetal weights compared to foetuses in normotensive pregnancies. These findings were consistent with studies indicating that maternal preeclampsia impedes placental function, ultimately restricting foetal growth.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> This study also noted non-significant differences in abdominal circumferences, femur length, and biparietal diameter, suggesting variability in the impact of preeclampsia on foetal growth parameters. Similar studies have reported that while some foetal measurements are consistently affected by preeclampsia, others may vary depending on the severity and onset of the condition.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>Doppler velocimetry revealed higher uterine artery pulsatile index (UtA PI) and middle cerebral artery pulsatile index (MCA PI) in preeclamptic pregnancies, both being statistically significant. These findings are indicative of altered blood flow dynamics in preeclampsia, which can compromise oxygen and nutrient delivery to the foetus. The elevated MCA resistance index (MCA RI) further supports the notion of increased vascular resistance in preeclampsia.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Increased placental vascular resistance can lead to foetal hypoxemia and potentially trigger compensatory mechanisms, where blood flow is shunted to vital organs such as the foetal brain at the expense of peripheral growth.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Contrasting studies have suggested that while Doppler parameters are helpful in assessing placental and foetal health, their predictive value for adverse outcomes may vary across populations.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>,
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
            <p>The uterine artery pulsatile index (UtA PI) demonstrated a strong positive association with estimated foetal weight. This may be due to placental adaptation, where the placenta compensates for increased vascular resistance by enhancing nutrient transport efficiency, allowing the developing foetus to maintain or even increase its weight irrespective of compromised uteroplacental blood flow.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>,
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> Another mechanism that may explain this is the shunting resulting from the redistribution of blood, where the foetus prioritises blood flow to essential organs like the brain, ensuring adequate growth irrespective of placental insufficiency.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>,
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> The current findings are supported by Wu et al, who showed that the right UTA PI of 1.27 (95%CI: 0.84&#x2013;1.63) was associated with the early onset of preeclampsia.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Participants in our study were diagnosed with preeclampsia before 26&#x00a0;weeks, even though data were only collected at 33&#x00a0;weeks of gestation. Furthermore, some studies have shown that higher UTA PI is associated with small for gestational age foetuses, indicating its important contribution to uteroplacental blood flow.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Other contrasting findings observed no significant association between UtA PI and foetal weight in mild cases of preeclampsia, suggesting variability based on disease severity.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>,
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup>
            </p>
            <p>The relationship between UtA PI and foetal biparietal diameter (BPD) was also notable, with a positive correlation, though not statistically significant. Similar findings have been reported in studies emphasising the role of uteroplacental blood flow in determining foetal cranial growth. However, the lack of statistical significance in this study may reflect sample size limitations or variability in the impact of preeclampsia on cranial growth parameters.</p>
            <p>Interestingly, the middle cerebral artery pulsatile index (MCA PI) correlated negatively with biparietal diameter, indicating a potential compensatory mechanism where increased cerebral blood flow prioritises brain development in response to hypoxic conditions. Elevated MCA PI reflects increased vascular resistance within foetal cerebral circulation. Over time, this can impede brain growth, sometimes reflected by reduced biparietal diameter.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> This aligns with the concept of &#x201c;brain-sparing&#x201d; observed in foetuses affected by preeclampsia, as reported in recent literature.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> However, the marginal significance of this finding underscores the need for further investigation to confirm its clinical relevance.</p>
            <p>The middle cerebral artery resistive index (MCA RI) showed a strong negative correlation with BPD. Similar reports revealed that elevated vascular resistance in the foetal cerebral circulation is a compensatory response to placental insufficiency.
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> However, contrasting studies have reported variability in MCA RI values, particularly in cases of late-onset preeclampsia, where cerebral haemodynamics may be less affected.
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>,
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup>
            </p>
            <p>The inferential output revealed significant associations between foetal biometry and middle cerebral artery (MCA) indices, shedding light on the hemodynamic adaptations in pregnancies affected by hypertensive disorders such as preeclampsia. The negative association between the MCA resistive index (MCA RI) and biparietal diameter (BPD) suggests that increased vascular resistance in the foetal cerebral circulation may impair cranial growth. This finding aligns with the concept of &#x201c;brain-sparing,&#x201d; where blood flow is redistributed to prioritise vital organs under hypoxic conditions.
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> However, contrasting findings suggest that the degree of impact on BPD may vary depending on the severity and onset of preeclampsia, with late-onset cases enduring less severe effects.
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>,
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup>
            </p>
        </sec>
        <sec id="sec14" sec-type="conclusion">
            <title>Conclusion</title>
            <p>This study demonstrates that maternal preeclampsia in a resource-limited South African setting is linked to significant reductions in foetal biometric measurements and marked alterations in placental and cerebral blood-flow indices. Doppler velocimetry&#x2019;s value as an early warning tool is highlighted by showing how elevated uterine and cerebral Doppler pulsatility and resistive indices predict impaired head growth and lower estimated foetal weight. Incorporating these ultrasound metrics into routine care could enable targeted interventions to improve perinatal outcomes among high-risk pregnancies.</p>
        </sec>
        <sec id="sec15">
            <title>Consent for publication</title>
            <p>Not applicable.</p>
        </sec>
        <sec id="sec17">
            <title>Authors and Affiliations</title>
            <p>Department of Human Biology, Walter Sisulu University, Nelson Mandela Drive, Mthatha, South Africa</p>
            <p>Chuma Mabuto, Constance Rufaro Sewani-Rusike, Ebenezer Ackah, Ngoakoana Edna Matjuda</p>
            <p>Department of Biological and Environmental Sciences, Walter Sisulu University, Mthatha, South Africa</p>
            <p>Benedicta Nkeh-Chungag, Nomagugu Ndlovu, Ongeziwe Zamxaka, Yamkela Mfenyana, Roland Tiagha Akah, Jude Eteneneng Enoh</p>
            <p>Department of Obstetrics and Gynaecology, Nelson Mandela Academic Hospital, Mthatha, South Africa</p>
            <p>Charles Businge, Nontsikelelo Gubu-Ntaba, Nandipha Sotobe-Mbana, Malusi Madikane</p>
            <p>Department of Obstetrics and Gynaecology, Mthatha Regional Hospital, Mthatha, South Africa</p>
            <p>Mziwohlanga Mdondolo</p>
            <p>Department of Obstetrics and Gynaecology, Frere Hospital, Mthatha, South Africa</p>
            <p>Mfundo Feketshane, NP Selanto-Charman, Tandi Noah</p>
            <p>Physiology Section, Otto Loewi Research Centre for Vascular Biology, Immunology and Inflammation, Medical University of Graz, Graz</p>
            <p>Nandu Goswami</p>
            <p>Corresponding authors</p>
            <p>Correspondence to Chuma Mabuto (
                <email xlink:href="mailto:216050464@wsu.ac.za">216050464@wsu.ac.za</email>).</p>
        </sec>
    </body>
    <back>
        <sec id="sec20" sec-type="data-availability">
            <title>Availability of data</title>
            <p>The data presented in this study have been deposited in Figshare, the institutional data repository platform under the identifier: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.31123747">https://doi.org/10.6084/m9.figshare.31123747</ext-link>.
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup> It is, however, not publicised at this point as this study is part of an ongoing project. The funder and the institution&#x2019;s policies prohibit data sharing until the project has been completed. Open access to all data and materials shall be granted upon manuscript publication. A completed CONSORT checklist has been deposited and made publicly available on Figshare under the identifier: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.31323898">https://doi.org/10.6084/m9.figshare.31323898</ext-link>.
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup>
            </p>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>We would like to acknowledge everyone who helped us put together and ensure the success of this project. A special thank you to the mothers who volunteered to participate in the study.</p>
        </ack>
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