<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1651854</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Correlation of peripheral blood pressure with central blood pressure and estimation of central blood pressure thresholds for diagnosis of hypertension during pregnancy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Mbongozi</surname> <given-names>Xolani B.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3101364/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Galloway</surname> <given-names>Stuart D. R.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/278769/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hunter</surname> <given-names>Angus</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Businge</surname> <given-names>Charles B.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2241762/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Nanjoh</surname> <given-names>Mirabel</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Buga</surname> <given-names>Geoffrey A. B.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Obstetrics &#x0026; Gynaecology, Faculty of Health Sciences, Walter Sisulu University</institution>, <addr-line>Mthatha</addr-line>, <country>South Africa</country></aff>
<aff id="aff2"><sup>2</sup><institution>Faculty of Health Sciences &#x0026; Sport, University of Stirling</institution>, <addr-line>Stirling</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Science and Technology, Clifton Campus, Nottingham Trent University</institution>, <addr-line>Nottingham</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Public Health, Faculty of Health Sciences, Walter Sisulu University</institution>, <addr-line>Mthatha</addr-line>, <country>South Africa</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/600360/overview">Giuseppe Caminiti</ext-link>, Universit&#x00E0; Telematica San Raffaele, Italy</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3142362/overview">Julian Minetto</ext-link>, Universidad Nacional de La Plata, Argentina</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3146043/overview">Francisco Javier Hernandez Mora</ext-link>, Civil Hospital of Guadalajara, Mexico</p></fn>
<corresp id="c001">&#x002A;Correspondence: Xolani B. Mbongozi, <email>xmbongozi@wsu.ac.za</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1651854</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Mbongozi, Galloway, Hunter, Businge, Nanjoh and Buga.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Mbongozi, Galloway, Hunter, Businge, Nanjoh and Buga</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Objective</title>
<p>The main objective of the study was to evaluate the correlation and comparative use of peripheral blood pressure and central blood pressure (CBP) in identifying hypertension among pregnant women.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A cross-sectional study was conducted at Nelson Mandela Academic Hospital from December 2022 to April 2024, involving 270 inpatients diagnosed with hypertensive disorders of pregnancy (HDP) and 270 normotensive controls in their second and third trimesters. Blood pressure measurements were obtained using the Microlife WatchBP Office Central, both at enrolment and within 7&#x202F;days postpartum. A linear regression equation and a receiver operating characteristic curve (ROC) analysis were used to determine the thresholds for normal, mild, and severe CBP.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>The ROC revealed that a central systolic blood pressure (cSBP) of 116&#x202F;mm Hg or higher has a sensitivity of 78.5% and a specificity of 50.3% for diagnosing hypertension during pregnancy. Considering a normal peripheral diastolic pressure of less than 90&#x202F;mm Hg, the upper limit of central diastolic blood pressure (cDBP) in normotensive controls was calculated to be 78&#x202F;mm Hg. A significant positive correlation was found between peripheral systolic blood pressure (pSBP) and cSBP among normotensive and hypertensive women (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). The median pSBP among patients with eclampsia with mild peripheral hypertension was 138.0&#x202F;mmHg (IQR: 133.0&#x2013;148.0) while the cSBP level in the same group was 145.0&#x202F;mmHg (IQR: 140.0&#x2013;150.0) mmHg. The overall median cSBP among women with eclampsia (<italic>n</italic>&#x202F;=&#x202F;102) was 133.0&#x202F;mmHg (IQR 120.0&#x2013;143.0), and the median cDBP was 73.0&#x202F;mmHg (IQR: 60.0&#x2013;83.0), and these were significantly higher (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001) than the median cSBP of 128.0&#x202F;mmHg (IQR: 114.0&#x2013;139) and cDBP of 71.0&#x202F;mmHg (IQR: 61.0&#x2013;81.0) among preeclamptic women.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>This study established the threshold values for central hypertension as 116/78&#x202F;mmHg, with severe central hypertension defined as 148/95&#x202F;mmHg or more. It reinforces the positive correlation between peripheral and CBP in both normotensive and hypertensive populations. CBP may serve as a better parameter for evaluating hypertension, especially in eclampsia. Further research is warranted to confirm these findings and to explore their clinical implications.</p>
</sec>
</abstract>
<kwd-group>
<kwd>pregnant women</kwd>
<kwd>eclampsia</kwd>
<kwd>preeclampsia</kwd>
<kwd>hypertensive disorders of pregnancy</kwd>
<kwd>arterial stiffness</kwd>
<kwd>central and peripheral hypertension</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="9"/>
<equation-count count="0"/>
<ref-count count="43"/>
<page-count count="13"/>
<word-count count="7830"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Obstetrics and Gynecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Elevated brachial blood pressure has traditionally been the main indicator for diagnosing hypertension, but with the increased availability of non-invasive central blood pressure (CBP) measuring devices, there is growing interest in using CBP for managing hypertension in non-pregnant and pregnant individuals.</p>
<p>The role of brachial blood pressure in the prediction of future cardiovascular structural damage, morbidity, and mortality among non-pregnant adult population is well-established in high-income countries (<xref ref-type="bibr" rid="ref1">1</xref>), as well as in middle-income countries, such as China and Mexico (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). Controlling brachial blood pressure can reduce the risk of cardiovascular death (<xref ref-type="bibr" rid="ref4">4</xref>). However, peripheral hypertension does not necessarily correlate with maternal and perinatal outcomes, except for the increased risk of intracranial hemorrhage when there is severe peripheral hypertension (<xref ref-type="bibr" rid="ref5">5</xref>). Numerous studies suggest that CBP is superior to peripheral blood pressure (PBP) in predicting cardiovascular disease among non-pregnant patients (<xref ref-type="bibr" rid="ref6">6</xref>&#x2013;<xref ref-type="bibr" rid="ref9">9</xref>). The superiority of CBP is likely due to central pressures exhibiting lower variability and more accurately reflecting the tension levels on major target organs such as the heart, brain, and kidneys (<xref ref-type="bibr" rid="ref10">10</xref>). CBP is defined as blood pressure readings taken from the aorta or common carotid arteries, primarily influenced by increased arterial stiffness and wave reflection (<xref ref-type="bibr" rid="ref11">11</xref>). It represents the pressure against which the heart must pump to ensure blood flow throughout the body. Evidence indicates that preeclampsia (PE) is associated with increased CBP, pulse wave velocity, and arterial stiffness (<xref ref-type="bibr" rid="ref12">12</xref>&#x2013;<xref ref-type="bibr" rid="ref14">14</xref>). It is known that the cerebrovascular complications of PE and eclampsia can occur in the presence of mild elevations of PBP and even in the absence of proteinuria (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). Since the blood flow to the brain is controlled by the central aortic blood pressure, it is possible that under conditions when there is only mild elevation of the brachial blood pressure, the CBP may be much higher, thus accounting for the vasogenic oedema typical of eclampsia, justifying the need to know how the CBP behaves in patients with HDP and eclampsia.</p>
<p>To evaluate this hypothesis, it is essential to clearly define what constitutes mild and severe central hypertension. Current literature presents conflicting findings regarding the definition of central hypertension (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). Notably, Cheng et al. have proposed a threshold CBP of 130/90&#x202F;mmHg, which generally serves as a benchmark for central hypertension in non-pregnant women (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). However, given the physiological changes that occur during pregnancy, it would be biased to apply findings from the non-pregnant population, especially those involving men (<xref ref-type="bibr" rid="ref20">20</xref>). During pregnancy, physiological changes generally result in lower CBP readings compared with those in non-pregnant women and men (<xref ref-type="bibr" rid="ref21">21</xref>). Therefore, it is necessary to establish the CBP threshold for diagnosing central hypertension in the pregnant population.</p>
</sec>
<sec id="sec6">
<title>Objectives</title>
<p>The primary objective of this study was to evaluate the correlation and comparative use of PBP and CBP in identifying hypertension among pregnant women. The secondary objective was to determine the threshold values for central systolic blood pressure (cSBP) and central diastolic blood pressure (cDBP) for diagnosing mild and severe central hypertension in pregnancy.</p>
</sec>
<sec sec-type="materials|methods" id="sec7">
<title>Materials and methods</title>
<p>This was a cross-sectional study conducted between December 2022 and April 2024. We prospectively studied 270 inpatients diagnosed with hypertensive disorders of pregnancy (HDP) and 270 inpatient normotensive controls who were in their second and third trimesters of pregnancy. This study was conducted at the Nelson Mandela Academic Hospital, South Africa, in keeping with the principles laid down in the Helsinki Declaration (<xref ref-type="bibr" rid="ref22">22</xref>). Walter Sisulu University and the Nelson Mandela Academic Hospital board approved this study (ethics reference number 035/2022), and informed consent was obtained from each participant before data collection.</p>
<p>The definitions of hypertension and HDP were based on the International Society for the Study of Hypertension in Pregnancy (<xref ref-type="bibr" rid="ref23">23</xref>). Mild peripheral hypertension was defined as a pSBP of 110&#x2013;159&#x202F;mmHg and/or a pDBP of 90&#x2013;109&#x202F;mmHg. Severe peripheral hypertension was defined as a pSBP of 160&#x202F;mmHg or higher and/or a pDBP of 110&#x202F;mmHg or higher. The inclusion criteria for hypertensive patients were current hypertensive disease in pregnancy with a gestation period of &#x2265;20&#x202F;weeks. For controls, the inclusion criteria were a healthy normotensive singleton pregnancy in labor, those admitted for a repeat elective caesarean section at term, or women without hypertension presenting with particular conditions such as placenta previa, preterm premature rupture of membranes, or preterm labour. Participants were excluded if they were under 20&#x202F;weeks pregnant or if they opted out of participation. Additionally, individuals with diabetes mellitus, cardiac disease, chronic renal disease, antiphospholipid syndrome, or other autoimmune diseases were also excluded from the study.</p>
<p>Data on the presence and type of HDP were collected from patient interviews and medical records using a standard data collection sheet. At enrolment and within 7&#x202F;days after delivery, brachial and central systolic and diastolic blood pressures were measured using the Microlife WatchBP Office Central. Participants who were initially normotensive but later developed elevated blood pressure were reclassified as hypertensive, while those with gestational hypertension who later exhibited features of PE were reclassified as having PE. Before using the Microlife WatchBP Office central, the correct size of cuff was chosen and placed over the left or right upper arm so that the artery mark arrow points toward the lower arm. The cuff was wrapped around the arm, making sure that the lower edge of the cuff was approximately 2&#x202F;cm above the elbow. The WatchBP Office Central device automatically measured both brachial and CBP, displaying the results on the screen once the measurement process was complete.</p>
<p>It is important to note that while the validity and reliability of the Microlife WatchBP Office Central have been established in the general population, its PBP measurement component lacked validation for pregnancy use (<xref ref-type="bibr" rid="ref19">19</xref>) To address this deficiency, a pilot study was conducted involving three distinct groups of participants: 15 normotensive pregnant women, 15 women diagnosed with gestational hypertension, and 15 women with PE. Initially, PBP was measured using the pregnancy-validated Microlife WatchBP Home BT, followed by measurements with the Microlife WatchBP Office Central.</p>
<p>The validation process adhered to the guidelines set forth by the Association for the Advancement of Medical Instrumentation, the European Society of Hypertension, and the International Organization for Standardization (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>).</p>
<p>The results of the validation exercise demonstrated a strong correlation between the pregnancy-validated Microlife WatchBP Home BT and the Microlife WatchBP Office Central (refer to <xref ref-type="table" rid="tab1">Tables 1</xref>, <xref ref-type="table" rid="tab2">2</xref>). Subsequently, the Microlife WatchBP Office Central was used to simultaneously measure both brachial blood pressure and CBP in each participant.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Demographic characteristics of hypertensive cases and normotensive controls in the pilot study.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Characteristics</th>
<th align="center" valign="top">Hypertensive cases (<italic>N</italic> =&#x202F;30)</th>
<th align="center" valign="top">Normotensive controls (<italic>N</italic> =&#x202F;15)</th>
<th align="center" valign="top">Total</th>
<th align="center" valign="top" rowspan="2">Student&#x2019;s <italic>t</italic>-test <italic>p</italic> value</th>
</tr>
<tr>
<th align="center" valign="top">Mean&#x202F;&#x00B1;&#x202F;SD</th>
<th align="center" valign="top">Mean&#x202F;&#x00B1;&#x202F;SD</th>
<th align="center" valign="top">Mean&#x202F;&#x00B1;&#x202F;SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">28.9&#x202F;&#x00B1;&#x202F;7.6</td>
<td align="center" valign="top">24.9&#x202F;&#x00B1;&#x202F;6.0</td>
<td align="center" valign="top">27.5&#x202F;&#x00B1;&#x202F;7.3</td>
<td align="center" valign="top">0.082</td>
</tr>
<tr>
<td align="left" valign="top">Gravidity</td>
<td align="center" valign="top">2.3&#x202F;&#x00B1;&#x202F;1.3</td>
<td align="center" valign="top">2.2&#x202F;&#x00B1;&#x202F;1.7</td>
<td align="center" valign="top">2.3&#x202F;&#x00B1;&#x202F;1.4</td>
<td align="center" valign="top">0.825</td>
</tr>
<tr>
<td align="left" valign="top">Parity</td>
<td align="center" valign="top">1.3&#x202F;&#x00B1;&#x202F;0.9</td>
<td align="center" valign="top">1.4&#x202F;&#x00B1;&#x202F;0.8</td>
<td align="center" valign="top">1.3&#x202F;&#x00B1;&#x202F;0.9</td>
<td align="center" valign="top">0.715</td>
</tr>
<tr>
<td align="left" valign="top">Gestational age (wks)</td>
<td align="center" valign="top">34.4&#x202F;&#x00B1;&#x202F;3.6</td>
<td align="center" valign="top">38.4&#x202F;&#x00B1;&#x202F;1.5</td>
<td align="center" valign="top">35.7&#x202F;&#x00B1;&#x202F;3.6</td>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">pSBP (mmHg)</td>
<td align="center" valign="top">135.7&#x202F;&#x00B1;&#x202F;11.3</td>
<td align="center" valign="top">123.3&#x202F;&#x00B1;&#x202F;10.6</td>
<td align="center" valign="top">131.6&#x202F;&#x00B1;&#x202F;12.4</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">pDBP (mmHg)</td>
<td align="center" valign="top">79.7&#x202F;&#x00B1;&#x202F;10.8</td>
<td align="center" valign="top">64.3&#x202F;&#x00B1;&#x202F;13.1</td>
<td align="center" valign="top">74.6&#x202F;&#x00B1;&#x202F;13.6</td>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">cSBP (mmHg)</td>
<td align="center" valign="top">130.1&#x202F;&#x00B1;&#x202F;12.1</td>
<td align="center" valign="top">114.4&#x202F;&#x00B1;&#x202F;12.5</td>
<td align="center" valign="top">124.9&#x202F;&#x00B1;&#x202F;14.2</td>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">cDBP (mmHg)</td>
<td align="center" valign="top">71.6&#x202F;&#x00B1;&#x202F;13.1</td>
<td align="center" valign="top">70.6&#x202F;&#x00B1;&#x202F;11.2</td>
<td align="center" valign="top">71.3&#x202F;&#x00B1;&#x202F;12.4</td>
<td align="center" valign="top">0.801</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>pSBP, peripheral systolic blood pressure; pDBP, peripheral diastolic blood pressure; cSBP, central systolic blood pressure; cDBP, central diastolic blood pressure; SD, standard deviation; wks, weeks.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>The absolute differences in systolic and diastolic pressures, categorized as 0&#x2013;5, 0&#x2013;10, and 0&#x2013;15&#x202F;mmHg, between the two measuring devices.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Blood pressure differences</th>
<th align="center" valign="top">Blood pressure categories</th>
<th align="center" valign="top"><italic>n</italic>; <italic>N</italic> =&#x202F;45</th>
<th align="center" valign="top">% (95%CI)</th>
<th align="center" valign="top">Mean&#x202F;&#x00B1;&#x202F;SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">Absolute SBP differences</td>
<td align="center" valign="top">0&#x2013;5&#x202F;mmHg</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">86.7</td>
<td align="center" valign="top">2.5&#x202F;&#x00B1;&#x202F;1.5</td>
</tr>
<tr>
<td align="center" valign="top">0&#x2013;10&#x202F;mmHg</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">97.8</td>
<td align="center" valign="top">3.0&#x202F;&#x00B1;&#x202F;1.9</td>
</tr>
<tr>
<td align="center" valign="top">0&#x2013;15&#x202F;mmHg</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">100.0</td>
<td align="center" valign="top">3.1&#x202F;&#x00B1;&#x202F;2.2</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Absolute DBP differences</td>
<td align="center" valign="top">0&#x2013;5&#x202F;mmHg</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">82.2</td>
<td align="center" valign="top">2.4&#x202F;&#x00B1;&#x202F;1.4</td>
</tr>
<tr>
<td align="center" valign="top">0&#x2013;10&#x202F;mmHg</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">95.5</td>
<td align="center" valign="top">3.0&#x202F;&#x00B1;&#x202F;2.1</td>
</tr>
<tr>
<td align="center" valign="top">0&#x2013;15&#x202F;mmHg</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">100.0</td>
<td align="center" valign="top">3.5&#x202F;&#x00B1;&#x202F;3.1</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="sec8">
<title>Statistical analysis</title>
<p>Data were checked for completeness and consistency before being captured using the IBM SPSS STATISTICS software package version 29 for Windows (IBM Inc., Chicago IL, USA). Two approaches were used to try to establish the upper thresholds for normal and abnormal CBP to determine what constitutes central hypertension. The first approach used a linear regression equation for calculating the cSBP and cDBP from the pSBP and cDBP of normotensive controls, and a <italic>p</italic>-value of &#x003C;0.05 was taken as significant. The second approach used the receiver operating curve analysis for calculating the upper threshold of normal cSBP and cDBP, together with sensitivity and specificity. The Youden&#x2019;s J index, sensitivity, and specificity were calculated for each blood pressure reading. Cut-off points were determined based on the index, sensitivity, specificity, and clinical relevance. The outcome variable was HDP. The lower of these thresholds from these two approaches was then chosen to represent the threshold of normal and abnormal CBP.</p>
<p>For the rest of the study, blood pressure readings were interpreted using medians and percentiles (p25, p75) due to the skewed nature of the data. The Kruskal&#x2013;Wallis H test and the Mann&#x2013;Whitney U test were employed to assess the degree of association between the continuous variables. The Wilcoxon signed-rank test was applied to compare dependent variables. A <italic>p</italic>-value of less than 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec9">
<title>Results</title>
<sec id="sec10">
<title>General description and socio-demographic characteristics of the sample population</title>
<p>A total of 550 pregnant women were initially recruited for the study. However, 10 patients were excluded due to comorbidities like diabetes, chronic renal failure, and cardiac disease (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Ultimately, 540 pregnant women were enrolled in the study, with 270 diagnosed with HDP and 270 who were normotensive controls. Of the 270 women with HDP, 143 (53%; 95% CI: 47&#x2013;58.9%) had PE, 102 (37.8%; 95% CI: 32.1&#x2013;43.7%) had eclampsia, 14 (5.2%; 95% CI: 3.0&#x2013;8.3%) had chronic hypertension, and 11 (4.1%; 95% CI: 2.2&#x2013;6.9%) had gestational hypertension. Notably, two of the eleven patients with gestational hypertension initially had normal blood pressure and were classified as controls at the time of recruitment, but subsequently developed hypertension, resulting in their reclassification. Additionally, four of the 143 preeclamptic patients initially presented with gestational hypertension but later exhibited significant proteinuria, resulting in their reclassification as PE. Of the 143 women with PE, 75 (52.4%; 95% CI: 44.3&#x2013;60.5%) had PE with severe features (this number excludes women with eclampsia who form their own group) and 68 (47.6%; 95% CI: 39.5&#x2013;55.7%) had PE without severe features.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Flowchart of participant inclusion.</p></caption>
<graphic xlink:href="fmed-12-1651854-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Receiver Operating Characteristic (ROC) curve plotting sensitivity against one minus specificity, showing a curved line above the diagonal. The area under the curve is 0.7142, indicating moderate diagnostic ability.</alt-text>
</graphic>
</fig>
<p>The non-hypertensive controls had a median age of 28 (IQR: 24.0&#x2013;33.0) years, which was significantly older than the hypertensive cases, whose median age was 25 (IQR: 20.0&#x2013;32.0) years (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001) (<xref ref-type="table" rid="tab3">Table 3</xref>). Most participants (63.1%, <italic>n</italic>&#x202F;=&#x202F;341) were aged between 20 and 34&#x202F;years, while a smaller group (17.2%, <italic>n</italic>&#x202F;=&#x202F;93) was under 20&#x202F;years. Almost all participants (99.4%, <italic>n</italic>&#x202F;=&#x202F;537) were of African descent, with the remainder being mixed race (0.6%, <italic>n</italic>&#x202F;=&#x202F;3). In terms of marital status, over three-quarters (77.2%) were single and slightly more than a quarter (22.6%, <italic>n</italic>&#x202F;=&#x202F;122) were married.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption><p>General characteristics of hypertensives cases and normotensive controls in the main study.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="center" valign="top">Hypertensive cases; <italic>n</italic> =&#x202F;270</th>
<th align="center" valign="top">Normotensive controls; <italic>n</italic> =&#x202F;270</th>
<th align="center" valign="top">Total</th>
<th align="center" valign="top">Sig.&#x002A;&#x002A;</th>
</tr>
<tr>
<th align="left" valign="top">Numerical parameters</th>
<th align="center" valign="top">Median (IQR)</th>
<th align="center" valign="top">Median (IQR)</th>
<th align="center" valign="top">Median (IQR)</th>
<th align="center" valign="top"><italic>p</italic>-values</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">25 (20.0&#x2013;32.0)</td>
<td align="center" valign="top">28 (24.0&#x2013;33.0)</td>
<td align="center" valign="top">27 (21.0&#x2013;33.0)</td>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">Body mass index (kg/m^2)</td>
<td align="center" valign="top">28.5 (23.9&#x2013;34.3)</td>
<td align="center" valign="top">29.5 (25.1&#x2013;35.5)</td>
<td align="center" valign="top">29 (24.7&#x2013;34.9)</td>
<td align="center" valign="top">0.071</td>
</tr>
<tr>
<td align="left" valign="top">Gestational age at recruitment</td>
<td align="center" valign="top">34 (31.0&#x2013;37.0)</td>
<td align="center" valign="top">38 (36.0&#x2013;39.0)</td>
<td align="center" valign="top">36 (33.0&#x2013;38.0)</td>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Categorical values</th>
<th align="center" valign="top">Number (percentage)</th>
<th align="center" valign="top">Number (percentage)</th>
<th align="center" valign="top">Number (percentage)</th>
<th align="center" valign="top">Pearson <italic>X</italic><sup>2</sup> Sig.</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="5">Age group (years)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;20&#x202F;years</td>
<td align="center" valign="top">64 (23.7)</td>
<td align="center" valign="top">29 (10.7)</td>
<td align="center" valign="top">93 (17.2)</td>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">20&#x2013;34&#x202F;years</td>
<td align="center" valign="top">157 (58.1)</td>
<td align="center" valign="top">184 (68.1)</td>
<td align="center" valign="top">341 (63.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;35&#x202F;years</td>
<td align="center" valign="top">49 (18.1)</td>
<td align="center" valign="top">57 (21.1)</td>
<td align="center" valign="top">106 (19.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Ethnicity</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Black African</td>
<td align="center" valign="top">269 (99.6)</td>
<td align="center" valign="top">268 (99.2)</td>
<td align="center" valign="top">537 (99.4)</td>
<td align="center" valign="top">0.624&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Mixed race</td>
<td align="center" valign="top">1 (0.4)</td>
<td align="center" valign="top">2 (0.7)</td>
<td align="center" valign="top">3 (0.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Marital status</td>
</tr>
<tr>
<td align="left" valign="top">Single</td>
<td align="center" valign="top">210 (77.8)</td>
<td align="center" valign="top">207 (76.7)</td>
<td align="center" valign="top">417 (77.2)</td>
<td align="center" valign="top">0.837&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">60 (22.2)</td>
<td align="center" valign="top">62 (23.0)</td>
<td align="center" valign="top">122 (22.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Divorced</td>
<td align="center" valign="top">0 (0.0)</td>
<td align="center" valign="top">1 (0.4)</td>
<td align="center" valign="top">1 (0.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Level of education</td>
</tr>
<tr>
<td align="left" valign="top">Tertiary</td>
<td align="center" valign="top">35 (13.0)</td>
<td align="center" valign="top">46 (17.0)</td>
<td align="center" valign="top">81 (15.0)</td>
<td align="center" valign="top">0.194&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Secondary</td>
<td align="center" valign="top">207 (76.7)</td>
<td align="center" valign="top">189 (70.0)</td>
<td align="center" valign="top">396 (73.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Primary</td>
<td align="center" valign="top">27 (10.0)</td>
<td align="center" valign="top">35 (13.0)</td>
<td align="center" valign="top">62 (11.5)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No formal education</td>
<td align="center" valign="top">1 (0.4)</td>
<td align="center" valign="top">0 (0.0)</td>
<td align="center" valign="top">1 (0.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Booking status</td>
</tr>
<tr>
<td align="left" valign="top">Booked</td>
<td align="center" valign="top">248 (91.9)</td>
<td align="center" valign="top">258 (95.6)</td>
<td align="center" valign="top">506 (93.7)</td>
<td align="center" valign="top">0.111</td>
</tr>
<tr>
<td align="left" valign="top">Not booked</td>
<td align="center" valign="top">22 (8.1)</td>
<td align="center" valign="top">12 (4.4)</td>
<td align="center" valign="top">34 (6.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Mode of delivery</td>
</tr>
<tr>
<td align="left" valign="top">Caesarean section</td>
<td align="center" valign="top">233 (86.3)</td>
<td align="center" valign="top">235 (87.0)</td>
<td align="center" valign="top">468 (86.7)</td>
<td align="center" valign="top">0.800</td>
</tr>
<tr>
<td align="left" valign="top">Vaginal</td>
<td align="center" valign="top">37 (13.7)</td>
<td align="center" valign="top">35 (13.0)</td>
<td align="center" valign="top">72 (13.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Underweight (BMI&#x202F;&#x003C;&#x202F;18.5)</td>
<td align="center" valign="top">2 (0.7)</td>
<td align="center" valign="top">1 (0.4)</td>
<td align="center" valign="top">3 (0.6)</td>
<td align="center" valign="top">0.196&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Normal weight (BMI 18.5&#x2013;24.9)</td>
<td align="center" valign="top">81 (30.0)</td>
<td align="center" valign="top">59 (21.9)</td>
<td align="center" valign="top">140 (25.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Overweight (BMI&#x202F;&#x2265;&#x202F;25.0&#x2013;29.9)</td>
<td align="center" valign="top">74 (27.4)</td>
<td align="center" valign="top">81 (30.0)</td>
<td align="center" valign="top">155 (28.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Obese (BMI&#x202F;&#x2265;&#x202F;30.0&#x2013;39.9)</td>
<td align="center" valign="top">79 (29.3)</td>
<td align="center" valign="top">96 (35.6)</td>
<td align="center" valign="top">175 (32.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Severely obese (BMI&#x202F;&#x2265;&#x202F;40.0)</td>
<td align="center" valign="top">34 (12.6)</td>
<td align="center" valign="top">33 (12.2)</td>
<td align="center" valign="top">67 (12.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5">HIV status</td>
</tr>
<tr>
<td align="left" valign="top">Positive</td>
<td align="center" valign="top">66 (24.4)</td>
<td align="center" valign="top">87 (32.2)</td>
<td align="center" valign="top">153 (28.3)</td>
<td align="center" valign="top">0.056</td>
</tr>
<tr>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">204 (75.6)</td>
<td align="center" valign="top">183 (67.8)</td>
<td align="center" valign="top">387 (71.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Viral suppression</td>
</tr>
<tr>
<td align="left" valign="top">Unsuppressed (&#x003E;1,000&#x202F;cp/mL)</td>
<td align="center" valign="top">10 (15.2)</td>
<td align="center" valign="top">9 (10.3)</td>
<td align="center" valign="top">19 (12.4)</td>
<td align="center" valign="top">0.609&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Suppressed (&#x003C;1,000&#x202F;cp/mL)</td>
<td align="center" valign="top">0 (0.0)</td>
<td align="center" valign="top">1 (1.1)</td>
<td align="center" valign="top">1 (0.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Less than detectable limit (&#x003C;50&#x202F;cp/mL)</td>
<td align="center" valign="top">56 (84.8)</td>
<td align="center" valign="top">77 (88.5)</td>
<td align="center" valign="top">133 (86.9)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index (kg/m<sup>2</sup>); cp/mL, copies/mL; &#x002A;Fisher&#x2019;s exact <italic>p</italic>-value; &#x002A;&#x002A; Mann&#x2013;Whitney U <italic>p</italic>-value.</p>
</table-wrap-foot>
</table-wrap>
<p>Most participants (93.7%, <italic>n</italic>&#x202F;=&#x202F;434) attended antenatal clinics, while 34 (6.3%) did not. Statistically, antenatal clinic attendance was similar between the hypertensive and non-hypertensive groups (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05). The median gestational age at enrolment in the study was 36 (IQR: 33.0&#x2013;38.0) weeks, with the non-hypertensive controls having a significantly higher median gestational age of 38 (IQR 36.0&#x2013;39.0) weeks compared with the hypertensive cases at 34&#x202F;weeks (IQR 31.0&#x2013;37.0; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001).</p>
<p>A significant majority of participants (86.7%, <italic>n</italic>&#x202F;=&#x202F;468) delivered via caesarean section, while the remaining 13.3% (<italic>n</italic>&#x202F;=&#x202F;72) had vaginal births. No significant differences in delivery methods were found between the two groups.</p>
<p>In terms of body weight classification, nearly one-third of the women (32.4%, <italic>n</italic>&#x202F;=&#x202F;175; 95% CI&#x202F;=&#x202F;28.6&#x2013;36.4%) were classified as obese, while 12.4% (<italic>n</italic>&#x202F;=&#x202F;67; 95% CI&#x202F;=&#x202F;9.8&#x2013;15.4%) were severely obese, and 0.6% (<italic>n</italic>&#x202F;=&#x202F;3; 95% CI&#x202F;=&#x202F;0.2&#x2013;1.5%) were underweight.</p>
<p>Overall, 28.3% (<italic>n</italic>&#x202F;=&#x202F;153; 95% CI&#x202F;=&#x202F;24.7&#x2013;32.2%) of the women in the study were HIV-positive, while the remainder tested negative. There was no significant difference in HIV prevalence between women with HDP and the normotensive controls (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05). Most of the positive for HIV women had viral loads below detectable limits, with only 12.4% (n&#x202F;=&#x202F;19; 95% CI&#x202F;=&#x202F;7.9&#x2013;12.4%) not achieving viral suppression. Moreover, no significant differences were observed between HIV-positive women with HDP and those who were HIV-positive but normotensive regarding viral suppression (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05).</p>
</sec>
<sec id="sec11">
<title>Establishment of cSBP and cDBP thresholds for diagnosis of central hypertension</title>
<p>To establish the upper thresholds for normal and abnormal CBP, a linear regression equation and the receiver operating curve analysis were used. The lower of these thresholds was then chosen to represent the threshold of normal and abnormal CBP. Consequently, the upper threshold of normal cSBP was found to be &#x003C;116&#x202F;mmHg and that of the normal cDBP was &#x003C;78&#x202F;mmHg (<xref ref-type="table" rid="tab4">Table 4</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>). CBPs above these thresholds signified central hypertension.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption><p>Establishment of cSBP threshold in normotensives.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2" rowspan="2">Normotensive controls (<italic>N</italic> =&#x202F;270)</th>
<th align="center" valign="top" colspan="2">Unstandardized coefficients</th>
<th align="center" valign="top">Standardized coefficients</th>
<th align="center" valign="top" rowspan="2"><italic>t</italic></th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
</tr>
<tr>
<th align="center" valign="top"><italic>B</italic></th>
<th align="center" valign="top">Std. error</th>
<th align="center" valign="top">Beta</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">1</td>
<td align="center" valign="top">(Constant)</td>
<td align="center" valign="top">47.505</td>
<td align="center" valign="top">6.013</td>
<td/>
<td align="center" valign="top">7.901</td>
<td align="center" valign="top">0.000</td>
</tr>
<tr>
<td align="center" valign="top">pSBP (mmHg)</td>
<td align="center" valign="top">0.592</td>
<td align="center" valign="top">0.052</td>
<td align="center" valign="top">0.568</td>
<td align="center" valign="top">11.290</td>
<td align="center" valign="top">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Using the simple regression formula, where predicted cSBP&#x202F;=&#x202F;a&#x202F;+&#x202F;bx (with &#x2018;a&#x2019; representing the constant, &#x2018;b&#x2019; as the unstandardized coefficient for pSBP, and &#x2018;x&#x2019; as any pSBP reading), if a pSBP of 139&#x202F;mm Hg is chosen as a reference point for normal systolic pressure, then the upper limit of cSBP in normotensive controls&#x202F;=&#x202F;47.505&#x202F;+&#x202F;0.592 (139)&#x202F;=&#x202F;130&#x202F;mmHg.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>ROC for cSBP cut-off for prediction of central hypertension in women with HDP if 116 mmHg is chosen.</p></caption>
<graphic xlink:href="fmed-12-1651854-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Detailed report of sensitivity and specificity data. It includes columns for cutpoint, sensitivity, specificity, correctly classified percentage, and likelihood ratios (LR+ and LR-). The entries range from cutpoint values of 59 to 193, with corresponding sensitivity and specificity percentages. Additionally, a section at the bottom displays ROC statistics, including observations, area, standard error, and a ninety-five percent confidence interval.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec12">
<title>ROC analysis for defining cSBP thresholds for diagnosis of central hypertension during pregnancy</title>
<p>To predict the diagnosis of central hypertension during pregnancy, the ROC analysis results indicate that a cSBP of 116&#x202F;mm Hg or higher has a sensitivity of 78.5% and a specificity of 50.3%. The cSB<italic>p</italic> values utilized as predictive variables for the ROC curve were derived exclusively from the HDP group. This model demonstrated a moderate discriminatory ability, with an area under the curve (AUC) of 0.7384 (<xref ref-type="fig" rid="fig2">Figures 2</xref>, <xref ref-type="fig" rid="fig3">3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Sensitivity and specificity of cSBP cut-offs for prediction of central hypertension in women with HDP.</p></caption>
<graphic xlink:href="fmed-12-1651854-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Histogram showing the distribution of peripheral systolic blood pressure in millimeters of mercury for a non-hypertensive control population. The x-axis ranges from eighty to one hundred forty millimeters of mercury, and the y-axis represents frequency up to twenty. A normal distribution curve is overlaid, peaking between one hundred ten and one hundred twenty millimeters of mercury.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec13">
<title>Linear regression equation for defining the cSBP and cDBP threshold from PBP</title>
<p>Based on a normal pSBP of &#x003C;140&#x202F;mmHg and a diastolic pressure of &#x003C;90&#x202F;mmHg, the upper limit of cSBP in normotensive controls was calculated to be 130&#x202F;mmHg, while the upper limit of cDBP was calculated to be 78&#x202F;mmHg (see <xref ref-type="table" rid="tab4">Tables 4</xref>, <xref ref-type="table" rid="tab5">5</xref>) (<xref ref-type="bibr" rid="ref23">23</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption><p>Establishment of cDBP threshold in normotensives.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2" rowspan="2">Normotensive (<italic>N</italic> =&#x202F;270)</th>
<th align="center" valign="top" colspan="2">Unstandardized coefficients</th>
<th align="center" valign="top">Standardized coefficients</th>
<th align="center" valign="top" rowspan="2"><italic>t</italic></th>
<th align="center" valign="top" rowspan="2">Sig.</th>
</tr>
<tr>
<th align="center" valign="top"><italic>B</italic></th>
<th align="center" valign="top">Std. error</th>
<th align="center" valign="top">Beta</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">1</td>
<td align="center" valign="top">(Constant)</td>
<td align="center" valign="top">19.006</td>
<td align="center" valign="top">2.817</td>
<td/>
<td align="center" valign="top">6.748</td>
<td align="center" valign="top">0.000</td>
</tr>
<tr>
<td align="center" valign="top">pDBP (mmHg)</td>
<td align="center" valign="top">0.658</td>
<td align="center" valign="top">0.043</td>
<td align="center" valign="top">0.681</td>
<td align="center" valign="top">15.204</td>
<td align="center" valign="top">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>If the reference point of the pDBP in normotensive controls is taken as 89&#x202F;mmHg (less than 90&#x202F;mmHg), then the upper limit of cDBP in normotensive controls&#x202F;=&#x202F;19.006&#x202F;+&#x202F;0.658 (89)&#x202F;=&#x202F;77.6 or 78&#x202F;mmHg.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<title>Establishment of thresholds for severe central hypertension</title>
<p>Linear regression equation was used to calculate the thresholds for severe central hypertension from the thresholds of severe PBP, defined as a pSBP of &#x2265;160&#x202F;mmHg, and/or pDBP of &#x2265;110&#x202F;mmHg, among women with HDP who were identified to have severe peripheral hypertension (<xref ref-type="bibr" rid="ref23">23</xref>). The thresholds for severe central hypertension were found to be a cSBP of &#x2265;148&#x202F;mmHg and/or a cDBP of &#x2265;95&#x202F;mmHg (see <xref ref-type="table" rid="tab6">Tables 6</xref>, <xref ref-type="table" rid="tab7">7</xref>).</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption><p>Establishment of cSBP thresholds for diagnosis of severe central hypertension based on pSBP of &#x2265;160&#x202F;mmHg in women with severe peripheral hypertension.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2" rowspan="2">Severe peripheral hypertension</th>
<th align="center" valign="top" colspan="2">Unstandardized coefficients</th>
<th align="center" valign="top">Standardized coefficients</th>
<th align="center" valign="top" rowspan="2"><italic>t</italic></th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
</tr>
<tr>
<th align="center" valign="top"><italic>B</italic></th>
<th align="center" valign="top">Std. error</th>
<th align="center" valign="top">Beta</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">1</td>
<td align="center" valign="top">(Constant)</td>
<td align="center" valign="top">36.961</td>
<td align="center" valign="top">45.232</td>
<td/>
<td align="center" valign="top">0.817</td>
<td align="center" valign="top">0.421</td>
</tr>
<tr>
<td align="center" valign="top">pSBP (mmHg)</td>
<td align="center" valign="top">0.696</td>
<td align="center" valign="top">0.271</td>
<td align="center" valign="top">0.449</td>
<td align="center" valign="top">2.562</td>
<td align="center" valign="top">0.017</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>If the threshold for severe peripheral systolic blood pressure (pSBP) is taken as 160&#x202F;mmHg, then the threshold for severe cSBP&#x202F;=&#x202F;36.961&#x202F;+&#x202F;0.696 (160)&#x202F;=&#x202F;148.321 or 148&#x202F;mmHg.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption><p>Defining cDBP cut-off for severe central hypertension based on pDBP of &#x2265;110&#x202F;mmHg in women with severe peripheral hypertension.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2" rowspan="2">Severe peripheral hypertension</th>
<th align="center" valign="top" colspan="2">Unstandardized coefficients</th>
<th align="center" valign="top">Standardized coefficients</th>
<th align="center" valign="top" rowspan="2"><italic>t</italic></th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
</tr>
<tr>
<th align="center" valign="top"><italic>B</italic></th>
<th align="center" valign="top">Std. error</th>
<th align="center" valign="top">Beta</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">1</td>
<td align="center" valign="top">(Constant)</td>
<td align="center" valign="top">6.512</td>
<td align="center" valign="top">13.149</td>
<td/>
<td align="center" valign="top">0.495</td>
<td align="center" valign="top">0.625</td>
</tr>
<tr>
<td align="center" valign="top">pDBP (mmHg)</td>
<td align="center" valign="top">0.806</td>
<td align="center" valign="top">0.126</td>
<td align="center" valign="top">0.783</td>
<td align="center" valign="top">6.420</td>
<td align="center" valign="top">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>If the threshold for severe peripheral diastolic blood pressure (pDBP) is taken as &#x2265;110&#x202F;mmHg, then the threshold for severe cDBP&#x202F;=&#x202F;6.512&#x202F;+&#x202F;0.806 (110)&#x202F;=&#x202F;95.172 or 95&#x202F;mmHg.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<title>Correlation of median pSBP, cSBP, pDBP, and cDBP as measured using microlife WatchBP office central among women with HDP and normotensive controls</title>
<p>Among the 270 normotensive controls, the median pSBP was 114.0 (IQR: 104.0&#x2013;124.0) mmHg, and the median cSBP was 115.0 (IQR: 106.0&#x2013;125.0) mmHg (see <xref ref-type="fig" rid="fig4">Figures 4</xref>, <xref ref-type="fig" rid="fig5">5</xref>). There was a strong positive relationship between the two measurements (Spearman rank correlation coefficient&#x202F;=&#x202F;0.583; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001) as shown in <xref ref-type="table" rid="tab8">Table 8</xref>. The linear regression analysis revealed a positive correlation between pSBP and cSBP, with changes in pSBP being associated with a shift in the cSBP (<italic>B</italic>&#x202F;=&#x202F;0.592; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). The difference between median pSBP and cSBP was 1.0&#x202F;mmHg, but this was not statistically significant (Wilcoxon Signed Rank <italic>p</italic>&#x202F;=&#x202F;0.122).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Median pSBP among normotensive pregnant women.</p></caption>
<graphic xlink:href="fmed-12-1651854-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Histogram showing the distribution of central systolic blood pressure in non-hypertensive controls. The x-axis represents blood pressure in millimeters of mercury, ranging from 25 to 160. The y-axis represents frequency, ranging from 0 to 50. Data is normally distributed with a peak around 125 mmHg.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption><p>Median cSBP among normotensive pregnant women.</p></caption>
<graphic xlink:href="fmed-12-1651854-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart showing participant recruitment and exclusion in a study. Initially, 550 individuals were recruited. In the HDP group, three were excluded (two for diabetes, one for chronic renal disease). In the normotensive controls group, seven were excluded (five for diabetes, two for known cardiac issues). The total included was 540, with 270 in the HDP group and 270 in the normotensive controls.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption><p>Comparison of median pSBP and pDBP with median cSBP and cDBP among women with normal and mild peripheral hypertension as measured using Microlife WatchBP Office Central.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Hypertensive groups</th>
<th align="center" valign="top">cSBP median (IQR)</th>
<th align="center" valign="top">pSBP median (IQR)</th>
<th align="center" valign="top">Spearman rank</th>
<th align="center" valign="top"><italic>p</italic> value</th>
<th align="center" valign="top">cDBP median (IQR)</th>
<th align="center" valign="top">pDBP median (IQR)</th>
<th align="center" valign="top">Spearman rank</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Normotensive (<italic>n</italic>&#x202F;=&#x202F;270)</td>
<td align="center" valign="top">115.0 (106.0;125.0)</td>
<td align="center" valign="top">114.0 (104.0;124.0)</td>
<td align="center" valign="top">0.583</td>
<td align="center" valign="top">&#x003C;0.0001&#x002A;</td>
<td align="center" valign="top">64.0 (55.0;73.0)</td>
<td align="center" valign="top">61.5 (52.0;69.0)</td>
<td align="center" valign="top">0.669</td>
<td align="center" valign="top">&#x003C;0.0001&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Mild hypertensive (<italic>n</italic>&#x202F;=&#x202F;67)</td>
<td align="center" valign="top">139.0 (132.0;147.0)</td>
<td align="center" valign="top">144.0 (138.0;148.0)</td>
<td align="center" valign="top">0.445</td>
<td align="center" valign="top">&#x003C;0.0001&#x002A;</td>
<td align="center" valign="top">82.0 (77.0;89.0)</td>
<td align="center" valign="top">91.0 (86.0;96.0) mmHg</td>
<td align="center" valign="top">0.596</td>
<td align="center" valign="top">&#x003C;0.0001&#x002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Normal central blood pressure&#x202F;=&#x202F;cSBP of &#x003C;116 and/or cDBP &#x003C;78; mild central hypertension&#x202F;=&#x202F;cSBP of 116&#x2013;147 and/or cDBP of 78&#x2013;94; severe central hypertension&#x202F;=&#x202F;cSBP of &#x2265;148 and/or cDBP of &#x2265;95&#x202F;mmHg; Mild peripheral hypertension&#x202F;=&#x202F;pSBP of 140&#x2013;159 and/or cDBP of 90&#x2013;109. cDBP, central diastolic blood pressure; pDBP, peripheral diastolic blood pressure; cSBP, central systolic blood pressure; pSBP, peripheral systolic blood pressure. &#x002A;Statistically significant.</p>
</table-wrap-foot>
</table-wrap>
<p>Additionally, the median cSBP [110 (IQR: 101.0&#x2013;120.0) mmHg] was less than the median pSBP [120.0 (IQR: 112.0&#x2013;129.0) mmHg] in 119 participants (44%), the median cSBP [119.5 (111.0&#x2013;128.0) mmHg] was greater than the median pSBP [109.0 (100.0&#x2013;118.0) mmHg] in 146 participants (54%), and in 5 participants (1.9%), they were equal. The observed difference was not statistically significant (z based on positive ranks&#x202F;=&#x202F;&#x2212;1.546; Wilcoxon Signed Rank <italic>p</italic>&#x202F;=&#x202F;0.122).</p>
<p>Among the 270 normotensive controls, median cDBP was 64.0 (IQR: 55.0&#x2013;73.0) mmHg, and the median pDBP was 61.5 (IQR: 52.0&#x2013;69.0) mmHg. There was a strong positive correlation between the two measurements (Spearman rank correlation of 0.669, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001) as shown in <xref ref-type="table" rid="tab8">Table 8</xref>. Linear regression analysis also revealed that there was a positive correlation between cDBP and pDBP, with changes in pDBP being significantly associated with a shift in the cDBP (<italic>B</italic>&#x202F;=&#x202F;0.658; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). The difference between median pDBP and cDBP was 2.5&#x202F;mmHg, which was statistically significant (Wilcoxon Signed Rank <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001).</p>
<p>Additionally, cDBP [58.0 (50.0&#x2013;66.0) mmHg] was less than pDBP [68.0 (60.0&#x2013;70.0) mmHg] in 159/270 participants (59%), cDBP [64.0 (IQR: 57.0&#x2013;73.0) mmHg] was greater than pDBP [57.0 (IQR: 49.0&#x2013;65.0) mmHg] in 98 participants (36.3%) and was equal in only 13 participants (4.8%). The observed difference was statistically significant (<italic>z</italic> based on negative ranks&#x202F;=&#x202F;&#x2212;4.342; Wilcoxon Signed Rank <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001).</p>
</sec>
<sec id="sec16">
<title>Comparison of median pSBP and median pDBP with cSBP and cDBP among women with mild peripheral hypertension as measured using microlife WatchBP office central</title>
<p>Among 95 women with mild peripheral hypertension, the median pSBP was 144.0(138.0&#x2013;148.0) mmHg, while the median cSBP was 139.0 (132.0&#x2013;147.0) mmHg as shown in <xref ref-type="table" rid="tab8">Table 8</xref>. There was a strong positive relationship between the two measurements (Spearman rank <italic>r</italic>&#x202F;=&#x202F;0.445; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). Linear regression analysis revealed a strong positive correlation between pSBP and cSBP, with changes in the pSBP being significantly associated with a shift in the cSBP (<italic>B</italic>&#x202F;=&#x202F;0.631; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). The difference between the median pSBP and median cSBP was 1.0&#x202F;mmHg, and this was statistically significant (Wilcoxon Signed Rank <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001).</p>
<p>Additionally, among the same 95 women with mild peripheral hypertension, the median cSBP was less than the median pSBP in 69 participants, and the median cSBP was greater than the median pSBP in 24 participants, while the two were equal in two participants. The analysis using the Wilcoxon Signed Rank test revealed a statistically significant difference (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001).</p>
<p>Furthermore, among the same group of women with mild peripheral hypertension, the median pDBP was 91.0 (86.0.96.0) mmHg, while the median cDBP was 82.0 (77.0&#x2013;89.0) mmHg. There was a strong positive correlation between the two measurements (Spearman&#x2019;s rank <italic>r</italic>&#x202F;=&#x202F;0.596; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). Linear regression analysis revealed a strongly positive correlation between the pDBP and the cDBP and cDBP, and changes in pDBP were associated with a shift in the cDBP (<italic>B</italic>&#x202F;=&#x202F;0.661; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). The difference between the median pDBP and cDBP was 9.0&#x202F;mmHg, which was statistically significant (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001).</p>
<p>Additionally, among these women with mild peripheral hypertension, the median cDBP was less than the median pDBP in 81 participants, while in 14 participants, the median cDBP was greater than the median pDBP. The observed differences were statistically significant (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). Among the 14 participants with a higher median cDBP than the pDBP, four had eclampsia. The median cDBP for the four eclamptic patients was 108&#x202F;mmHg, while their median pDBP was 93&#x202F;mmHg. The difference between median cDBP and pDBP among the four participants was 15&#x202F;mmHg, and it was statistically significant (<italic>z</italic> based on positive ranks&#x202F;=&#x202F;&#x2212;6.5; Wilcoxon Signed Rank <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001).</p>
<p>Twenty-seven of the 102 eclamptic patients had mild peripheral hypertension, while the rest had severe peripheral hypertension. The median pSBP among eclamptic patients with mild peripheral hypertension was 138.0&#x202F;mmHg (IQR: 133.0&#x2013;148.0) while the cSBP level in the same group was 145.0&#x202F;mmHg (IQR: 140.0&#x2013;150.0).</p>
<p>The overall median cSBP among women with eclampsia (<italic>n</italic>&#x202F;=&#x202F;102) was 133.0&#x202F;mmHg (IQR 120.0&#x2013;143.0) and the median cDBP was 73.0&#x202F;mmHg (IQR: 60.0&#x2013;83.0), and these were significantly higher (p&#x202F;&#x003C;&#x202F;0.0001) than the median cSBP of 128.0&#x202F;mmHg (IQR: 114.0&#x2013;139) and cDBP of 71.0&#x202F;mmHg (IQR: 61.0&#x2013;81.0) among preeclamptic women, with or without severe features, and much higher than the median cSBP of 115&#x202F;mmHg (IQR:106.0&#x2013;125.0) and cDBP of 61.5&#x202F;mmHg (IQR: 52.0&#x2013;69.0) among normotensive controls (<xref ref-type="table" rid="tab9">Table 9</xref>).</p>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption><p>Comparison of central blood pressure readings among the different phenotypes of HDP and normotensive controls.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Blood pressure</th>
<th align="center" valign="top" colspan="6">Study groups</th>
<th align="center" valign="top" rowspan="3">Kruskal-Wallis Sig.</th>
</tr>
<tr>
<th align="center" valign="top">Control</th>
<th align="center" valign="top">A</th>
<th align="center" valign="top">B</th>
<th align="center" valign="top">C</th>
<th align="center" valign="top">D</th>
<th align="center" valign="top">E</th>
</tr>
<tr>
<th align="center" valign="top">Median (IQR)</th>
<th align="center" valign="top">Median (IQR)</th>
<th align="center" valign="top">Median (IQR)</th>
<th align="center" valign="top">Median (IQR)</th>
<th align="center" valign="top">Median (IQR)</th>
<th align="center" valign="top">Median (IQR)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">cSBP (mmHg)</td>
<td align="center" valign="top">115.0 (106.0&#x2013;125.0)</td>
<td align="center" valign="top">132.0 (122.0&#x2013;143.0)</td>
<td align="center" valign="top">119.5 (116.0&#x2013;128.0)</td>
<td align="center" valign="top">128.5 (114.5&#x2013;142.0)</td>
<td align="center" valign="top">128.0 (114.0&#x2013;139.0)</td>
<td align="center" valign="top">133.0 (120.0&#x2013;143.0)</td>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">cDBP (mmHg)</td>
<td align="center" valign="top">61.5 (52.0&#x2013;69.0)</td>
<td align="center" valign="top">71 (63.0&#x2013;80.0)</td>
<td align="center" valign="top">65 (61.0&#x2013;71.0)</td>
<td align="center" valign="top">69.0 (61.0&#x2013;83.0)</td>
<td align="center" valign="top">71.0 (61.0&#x2013;81.0)</td>
<td align="center" valign="top">73.0 (60.0&#x2013;83.0)</td>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>A, Gestational hypertension; B, Chronic hypertension; C, Preeclampsia without severe features; D, Preeclampsia with severe features; E, -Eclampsia; cSBP, central systolic blood pressure; cDBP, central diastolic blood pressure.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<title>Discussion</title>
<p>Historically, measuring CBP required invasive methods, which limited its application. However, recent advancements in non-invasive technologies have improved the feasibility of obtaining reliable measurements in clinical environments. This transition toward non-invasive techniques facilitates better monitoring, particularly in vulnerable groups like pregnant women.</p>
<p>This study aimed to assess the relationship between peripheral and CBP and to determine the thresholds for mild and severe central hypertension among pregnant women in the third trimester.</p>
<p>The research established that the cut-off for diagnosing central hypertension is a cSBP of 116&#x202F;mmHg and a cDBP of 78&#x202F;mmHg. These findings are consistent with the work of Chulkova et al. (<xref ref-type="bibr" rid="ref26">26</xref>), who noted that a cSBP of 115&#x202F;mmHg in pregnant women might indicate a risk for PE. Additionally, these results align with a study by Booysen et al. (<xref ref-type="bibr" rid="ref27">27</xref>), which reported a cSBP upper threshold of 112&#x202F;mmHg among a cohort of 311 young Black South Africans with a median age of 31. The similarity in our findings can be attributed to the younger demographic and shared background, as both studies focused on younger Black South Africans.</p>
<p>Conversely, research involving older populations has indicated higher thresholds for CBP. For example, a study with over 6,000 participants conducted by Hao et al. (<xref ref-type="bibr" rid="ref18">18</xref>) established a 90th percentile cutoff for cSBP at 125&#x202F;mmHg for men and 126&#x202F;mmHg for women. This is consistent with previous findings from Japan, where a threshold of 129&#x202F;mmHg was reported (<xref ref-type="bibr" rid="ref17">17</xref>). Additionally, Cheng et al. (<xref ref-type="bibr" rid="ref19">19</xref>) demonstrated through a longitudinal study involving 1,272 older participants that a central BP greater than 130/90&#x202F;mmHg significantly predicts cardiovascular events over a median follow-up of 15&#x202F;years. While the cut-off values determined by Cheng et al. (<xref ref-type="bibr" rid="ref19">19</xref>) serve as important benchmarks, they may not fully apply to pregnant populations, where physiological changes result in unique cardiovascular dynamics (<xref ref-type="bibr" rid="ref20">20</xref>). Moreover, aging is often associated with aortic stiffness, which leads to an earlier return of reflected waves in late systole, contributing to higher central BP levels (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>For severe central hypertension, our study found that among pregnant women in their third trimester with severe brachial hypertension, cSBP was &#x2265;148&#x202F;mmHg and cDBP was &#x2265;95&#x202F;mmHg. To our knowledge, this work is the first to document the threshold for severe central hypertension. However, further studies are needed to validate these findings. These thresholds are considerably lower than those of PBP (160/110&#x202F;mmHg), which is expected, as CBP is generally lower than PBP due to the inherent physiological differences between the two vascular systems.</p>
<p>One limitation in our calculations is that some normotensive controls displayed higher cSBP and/or cDBP values than their peripheral counterparts. Under typical conditions, cSBP should be lower than pSBP, with minimal variation between pDBP and cDBP. The possible explanation for this finding in our study is that while the participants had normal PBP, their CBP may have already been abnormal.</p>
<p>In comparison of peripheral and CBP, a positive correlation was found between pSBP and cSBP, as well as between pDBP and cDBP among normotensive pregnant women, aligning with previous findings by Fujime et al. (<xref ref-type="bibr" rid="ref28">28</xref>). Importantly, Fujime et al. analyzed a larger sample of 830 participants, which adds strength to their findings. Similarly, a cross-sectional study by Priyadarsini et al. (<xref ref-type="bibr" rid="ref29">29</xref>) involving 107 pregnant women and 53 age-matched non-pregnant women also confirmed a strong relationship between brachial systolic blood pressure and cSBP in healthy normotensive pregnant women (<xref ref-type="bibr" rid="ref29">29</xref>).</p>
<p>These positive correlations could be explained physiologically by the impact of arterial elasticity on circulatory pressure distribution (<xref ref-type="bibr" rid="ref30">30</xref>). With healthy, elastic arteries, a strong correlation between peripheral and central measurements is expected. Healthy, elastic arteries allow for a more efficient transmission of pressure waves generated by the heartbeat. When arteries are elastic, they can accommodate the surge of blood during systole, dampening the pressure peaks and maintaining a more stable blood flow throughout the body (<xref ref-type="bibr" rid="ref31">31</xref>).</p>
<p>Additionally, several studies have demonstrated that CBP has a better relationship to future cardiovascular events and mortality and is also more relevant than peripheral brachial BP in predicting target organ damage, as it represents the true load imposed on the heart, brain, kidneys, and the large arteries (<xref ref-type="bibr" rid="ref32">32</xref>&#x2013;<xref ref-type="bibr" rid="ref34">34</xref>). Nevertheless, additional research is necessary to validate these findings, given that some authors dispute the stronger correlation between CBP and cardiovascular events (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>).</p>
<p>In this study, the median cSBP among normotensive pregnant women was found to be 115&#x202F;mmHg. This finding is consistent with the results of Turi et al. (<xref ref-type="bibr" rid="ref37">37</xref>), who reported a similar mean cSBP of 115&#x202F;mmHg in healthy pregnant women. However, in our study, the cSBP value was slightly higher, though not significantly, than the pSBP value of 114&#x202F;mmHg that was observed. Typically, in normotensive individuals, cSBP is expected to be lower than pSBP. This atypical finding raises the possibility that individuals with higher cSBP in this study may have an underlying increase in arterial stiffness or could be at risk of developing it. As arterial stiffness increases, systolic pressure tends to rise. This is due to the early merging of the fast-reflected wave with the forward wave (<xref ref-type="bibr" rid="ref38">38</xref>). Furthermore, increased arterial stiffness damages more elastic fibers in the blood vessel walls, leading to inadequate buffering and transmission of pulsatile pressure from the heart to target organs (<xref ref-type="bibr" rid="ref39">39</xref>). Such changes can ultimately result in organ damage, so it is a good idea to closely monitor these patients to assess their risk of high blood pressure in the future.</p>
<p>In this study, cDBP in normotensive controls was less than pDBP in 159 participants, and it was greater than pDBP in 98 participants. This is again an unexpected finding in normotensive controls, as under physiological conditions, the cDBP should either be the same as the pDBP or less than the pDBP (<xref ref-type="bibr" rid="ref40">40</xref>). This suggests that the 98 individuals with higher cDBP may be having central diastolic hypertension or are at risk of developing central hypertension, while their peripheral diastolic blood pressure puts them in the normal blood pressure category. Only a prospective follow-up study can test this explanation.</p>
<p>There is little correlation between the pBP and the occurrence of eclampsia. Several studies indicate that the blood pressure may be normal or only mildly elevated in women with eclampsia and even with stroke (<xref ref-type="bibr" rid="ref41">41</xref>&#x2013;<xref ref-type="bibr" rid="ref43">43</xref>). The present study found that the median central systolic and diastolic blood pressures, as well as pDBP, were significantly higher in cases of eclampsia compared with those with other HDP and with non-hypertensive controls. This implies that CBP measurement may be better able to distinguish between the subtypes of HDP and phenotypes of PE than PBP.</p>
<p>In addition, the median cSBP for women with eclampsia and mild peripheral hypertension was relatively severe. This suggests that some eclamptic patients with mild pSBP actually have a cSBP that falls into the severe range. This finding may help explain why some patients with mild peripheral hypertension experience eclampsia. This implies that the cSBP might be a better predictor of eclampsia than the pSBP. Central aortic blood pressure plays a crucial role in regulating blood flow to the brain (<xref ref-type="bibr" rid="ref15">15</xref>). Consequently, it could be inferred that in cases of eclampsia, vasogenic oedema might occur due to elevated CBP, even when brachial blood pressure remains only slightly elevated in the affected women.</p>
<p>The limitation of this study is that all hypertensive patients received antihypertensive treatment, which may have affected their blood pressure readings. However, patients were recruited within 24&#x202F;h of admission, a time frame during which the pharmacological treatment might not have fully taken effect.</p>
</sec>
<sec sec-type="conclusions" id="sec18">
<title>Conclusion</title>
<p>This study established the threshold values for central hypertension as 116/78&#x202F;mmHg, with severe central hypertension defined as 148/95&#x202F;mmHg. This study also reinforces the positive correlation between peripheral and CBP in both normotensive and hypertensive populations. Notably, women with eclampsia showed higher CBP levels compared with those having mild hypertension in the severe range. This may clarify why some patients with mild peripheral hypertension experience eclampsia and may thus indicate that CBP is a better predictor of eclampsia than PBP. Further research is needed to confirm these findings.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec20">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Walter Sisulu University Human Research Committee. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>XM: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Conceptualization, Data curation, Formal analysis, Investigation, Methodology. SG: Supervision, Writing &#x2013; review &#x0026; editing. AH: Supervision, Writing &#x2013; review &#x0026; editing. CB: Writing &#x2013; review &#x0026; editing, Conceptualization, Methodology, Supervision, Validation. MN: Writing &#x2013; review &#x0026; editing, Formal analysis. GB: Conceptualization, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec22">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the Discovery Foundation, reference number 66681, and the South African Medical Research Council, reference number 696335.</p>
</sec>
<ack>
<p>The authors thank all participants included in this study.</p>
</ack>
<sec sec-type="COI-statement" id="sec23">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec24">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec25">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lewington</surname> <given-names>S</given-names></name> <name><surname>Clarke</surname> <given-names>R</given-names></name> <name><surname>Qizilbash</surname> <given-names>N</given-names></name> <name><surname>Peto</surname> <given-names>R</given-names></name> <name><surname>Collins</surname> <given-names>R</given-names></name></person-group>. <article-title>Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies</article-title>. <source>Lancet</source>. (<year>2002</year>) <volume>360</volume>:<fpage>1903</fpage>&#x2013;<lpage>13</lpage>. doi: <pub-id pub-id-type="doi">10.1016/s0140-6736(02)11911-8</pub-id>, PMID: <pub-id pub-id-type="pmid">12493255</pub-id></citation></ref>
<ref id="ref2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lacey</surname> <given-names>B</given-names></name> <name><surname>Lewington</surname> <given-names>S</given-names></name> <name><surname>Clarke</surname> <given-names>R</given-names></name> <name><surname>Kong</surname> <given-names>XL</given-names></name> <name><surname>Chen</surname> <given-names>Y</given-names></name> <name><surname>Guo</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Age-specific association between blood pressure and vascular and non-vascular chronic diseases in 0&#x00B7;5 million adults in China: a prospective cohort study</article-title>. <source>Lancet Glob Health</source>. (<year>2018</year>) <volume>6</volume>:<fpage>e641</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S2214-109X(18)30217-1</pub-id>, PMID: <pub-id pub-id-type="pmid">29773120</pub-id></citation></ref>
<ref id="ref3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tapia-Conyer</surname> <given-names>R</given-names></name> <name><surname>Alegre-Di&#x00E1;z</surname> <given-names>J</given-names></name> <name><surname>Gnatiuc</surname> <given-names>L</given-names></name> <name><surname>Wade</surname> <given-names>R</given-names></name> <name><surname>Ramirez-Reyes</surname> <given-names>R</given-names></name> <name><surname>Herrington</surname> <given-names>WG</given-names></name> <etal/></person-group>. <article-title>Association of Blood Pressure with cause-specific mortality in Mexican adults</article-title>. <source>JAMA Netw Open</source>. (<year>2020</year>) <volume>3</volume>:<fpage>e2018141</fpage>. doi: <pub-id pub-id-type="doi">10.1001/jamanetworkopen.2020.18141</pub-id>, PMID: <pub-id pub-id-type="pmid">32975571</pub-id></citation></ref>
<ref id="ref4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Martinez</surname> <given-names>R</given-names></name> <name><surname>Soliz</surname> <given-names>P</given-names></name> <name><surname>Campbell</surname> <given-names>NRC</given-names></name> <name><surname>Lackland</surname> <given-names>DT</given-names></name> <name><surname>Whelton</surname> <given-names>PK</given-names></name> <name><surname>Ordunez</surname> <given-names>P</given-names></name></person-group>. <article-title>Association between population hypertension control and ischemic heart disease and stroke mortality in 36 countries of the Americas, 1990-2019: an ecological study</article-title>. <source>Rev Panam Salud Publica</source>. (<year>2022</year>) <volume>46</volume>:<fpage>e143</fpage>. doi: <pub-id pub-id-type="doi">10.26633/RPSP.2022.143</pub-id>, PMID: <pub-id pub-id-type="pmid">36133429</pub-id></citation></ref>
<ref id="ref5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sibai</surname> <given-names>BM</given-names></name> <name><surname>Stella</surname> <given-names>CL</given-names></name></person-group>. <article-title>Diagnosis and management of atypical preeclampsia-eclampsia</article-title>. <source>Am J Obstet Gynecol</source>. (<year>2009</year>) <volume>200</volume>:<fpage>481.e1</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ajog.2008.07.048</pub-id>, PMID: <pub-id pub-id-type="pmid">19019323</pub-id></citation></ref>
<ref id="ref6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Protogerou</surname> <given-names>A</given-names></name> <name><surname>Blacher</surname> <given-names>J</given-names></name> <name><surname>Stergiou</surname> <given-names>GS</given-names></name> <name><surname>Achimastos</surname> <given-names>A</given-names></name> <name><surname>Safar</surname> <given-names>ME</given-names></name></person-group>. <article-title>Blood pressure response under chronic antihypertensive drug therapy. The role of aortic stiffness in the REASON (preterax in regression of arterial stiffness in a controlled double-blind) study</article-title>. <source>J Am Coll Cardiol</source>. (<year>2009</year>) <volume>53</volume>:<fpage>445</fpage>&#x2013;<lpage>51</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jacc.2008.09.046</pub-id>, PMID: <pub-id pub-id-type="pmid">19179203</pub-id></citation></ref>
<ref id="ref7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Roman</surname> <given-names>RB</given-names></name> <name><surname>Kizer</surname> <given-names>JR</given-names></name> <name><surname>Lee</surname> <given-names>ET</given-names></name> <name><surname>Galloway</surname> <given-names>JM</given-names></name> <name><surname>Ali</surname> <given-names>T</given-names></name> <name><surname>Umans</surname> <given-names>JG</given-names></name> <etal/></person-group>. <article-title>Central pressure more strongly relates to vascular disease and outcome than does brachial pressure: the strong heart study</article-title>. <source>Hypertension</source>. (<year>2007</year>) <volume>50</volume>:<fpage>197</fpage>&#x2013;<lpage>203</lpage>. doi: <pub-id pub-id-type="doi">10.1161/HYPERTENSIONAHA.107.089078</pub-id>, PMID: <pub-id pub-id-type="pmid">17485598</pub-id></citation></ref>
<ref id="ref8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>KL</given-names></name> <name><surname>Cheng</surname> <given-names>HM</given-names></name> <name><surname>Chuang</surname> <given-names>SY</given-names></name> <name><surname>Spurgeon</surname> <given-names>HA</given-names></name> <name><surname>Ting</surname> <given-names>CT</given-names></name> <name><surname>Lakatta</surname> <given-names>EG</given-names></name> <etal/></person-group>. <article-title>Central or peripheral systolic or pulse pressure: which best relates to target-organs and future mortality?</article-title> <source>J Hypertens</source>. (<year>2009</year>) <volume>27</volume>:<fpage>461</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1097/hjh.0b013e3283220ea4</pub-id>, PMID: <pub-id pub-id-type="pmid">19330899</pub-id></citation></ref>
<ref id="ref9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alsomali</surname> <given-names>A</given-names></name> <name><surname>Lip</surname> <given-names>GYH</given-names></name> <name><surname>Akhtar</surname> <given-names>R</given-names></name> <name><surname>Field</surname> <given-names>M</given-names></name> <name><surname>Grillo</surname> <given-names>A</given-names></name> <name><surname>Tidbury</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Associations between central and brachial blood pressure in patients with hypertension and aortovascular disease: implications for clinical practice</article-title>. <source>Curr Probl Cardiol</source>. (<year>2025</year>):<fpage>102874</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cpcardiol.2024.102874</pub-id></citation></ref>
<ref id="ref10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McEniery</surname> <given-names>CM</given-names></name> <name><surname>Yasmin</surname> <given-names>N</given-names></name> <name><surname>Hall</surname> <given-names>IR</given-names></name> <name><surname>Qasem</surname> <given-names>A</given-names></name> <name><surname>Wilkinson</surname> <given-names>IB</given-names></name> <name><surname>Cockcroft</surname> <given-names>JR</given-names></name></person-group>. <article-title>Normal vascular aging: differential effects on wave reflection and aortic pulse wave velocity&#x2014;the Anglo-Cardiff collaborative trial (ACCT)</article-title>. <source>J Am Coll Cardiol</source>. (<year>2005</year>) <volume>46</volume>:<fpage>1753</fpage>&#x2013;<lpage>60</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jacc.2005.07.037</pub-id></citation></ref>
<ref id="ref11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cheng</surname> <given-names>HM</given-names></name> <name><surname>Chuang</surname> <given-names>SY</given-names></name> <name><surname>Sung</surname> <given-names>SH</given-names></name> <name><surname>Wu</surname> <given-names>CC</given-names></name> <name><surname>Wang</surname> <given-names>JJ</given-names></name> <name><surname>Hsu</surname> <given-names>PF</given-names></name> <etal/></person-group>. <article-title>2019 consensus of the Taiwan hypertension society and Taiwan society of cardiology on the clinical application of central blood pressure in the management of hypertension</article-title>. <source>Acta Cardiol Sin</source>. (<year>2019</year>) <volume>35</volume>:<fpage>234</fpage>&#x2013;<lpage>43</lpage>. doi: <pub-id pub-id-type="doi">10.6515/ACS.201905_35(3).20190415B</pub-id>, PMID: <pub-id pub-id-type="pmid">31249456</pub-id></citation></ref>
<ref id="ref12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Torrado</surname> <given-names>J</given-names></name> <name><surname>Farro</surname> <given-names>I</given-names></name> <name><surname>Zocalo</surname> <given-names>Y</given-names></name> <name><surname>Farro</surname> <given-names>F</given-names></name> <name><surname>Sosa</surname> <given-names>C</given-names></name> <name><surname>Scasso</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Preeclampsia is associated with increased central aortic pressure, elastic arteries stiffness and wave reflections, and resting and recruitable endothelial dysfunction</article-title>. <source>Int J Hypertens</source>. (<year>2015</year>) <volume>2015</volume>:<fpage>720683</fpage>. doi: <pub-id pub-id-type="doi">10.1155/2015/720683</pub-id>, PMID: <pub-id pub-id-type="pmid">26351578</pub-id></citation></ref>
<ref id="ref13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Meeme</surname> <given-names>A</given-names></name> <name><surname>Buga</surname> <given-names>GAB</given-names></name> <name><surname>Mammen</surname> <given-names>M</given-names></name> <name><surname>Namugowa</surname> <given-names>A</given-names></name></person-group>. <article-title>Endothelial dysfunction and arterial stiffness in pre-eclampsia demonstrated by the EndoPAT method</article-title>. <source>Cardiovasc J Afr</source>. (<year>2017</year>) <volume>28</volume>:<fpage>23</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.5830/CVJA-2016-047</pub-id>, PMID: <pub-id pub-id-type="pmid">27196639</pub-id></citation></ref>
<ref id="ref14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Namugowa</surname> <given-names>A</given-names></name> <name><surname>Iputo</surname> <given-names>J</given-names></name> <name><surname>Wandabwa</surname> <given-names>J</given-names></name> <name><surname>Meeme</surname> <given-names>A</given-names></name> <name><surname>Buga</surname> <given-names>GAB</given-names></name></person-group>. <article-title>Comparison of arterial stiffness in preeclamptic and normotensive pregnant women from a semi-rural region of South Africa</article-title>. <source>Clin Exp Hypertens</source>. (<year>2017</year>) <volume>39</volume>:<fpage>277</fpage>&#x2013;<lpage>83</lpage>. doi: <pub-id pub-id-type="doi">10.1080/10641963.2016.1254227</pub-id>, PMID: <pub-id pub-id-type="pmid">28448179</pub-id></citation></ref>
<ref id="ref15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cipolla</surname> <given-names>MR</given-names></name> <name><surname>Kraig</surname> <given-names>RP</given-names></name></person-group>. <article-title>Seizures in women with preeclampsia: mechanisms and management</article-title>. <source>Fetal Matern Med Rev</source>. (<year>2011</year>) <volume>22</volume>:<fpage>91</fpage>&#x2013;<lpage>108</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S0965539511000040</pub-id></citation></ref>
<ref id="ref16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Miller</surname> <given-names>EC</given-names></name></person-group>. <article-title>Preeclampsia and cerebrovascular disease</article-title>. <source>Hypertension</source>. (<year>2019</year>) <volume>74</volume>:<fpage>5</fpage>&#x2013;<lpage>13</lpage>. doi: <pub-id pub-id-type="doi">10.1161/HYPERTENSIONAHA.118.11513</pub-id>, PMID: <pub-id pub-id-type="pmid">31055951</pub-id></citation></ref>
<ref id="ref17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Takase</surname> <given-names>H</given-names></name> <name><surname>Dohi</surname> <given-names>Y</given-names></name> <name><surname>Kimura</surname> <given-names>G</given-names></name></person-group>. <article-title>Distribution of central blood pressure values estimated by Omron HEM-9000AI in the Japanese general population</article-title>. <source>Hypertens Res</source>. (<year>2013</year>) <volume>36</volume>:<fpage>50</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1038/hr.2012.122</pub-id>, PMID: <pub-id pub-id-type="pmid">22895062</pub-id></citation></ref>
<ref id="ref18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hao</surname> <given-names>G</given-names></name> <name><surname>Wang</surname> <given-names>Z</given-names></name> <name><surname>Zhang</surname> <given-names>L</given-names></name> <name><surname>Chen</surname> <given-names>Z</given-names></name> <name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Guo</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Thresholds of central systolic blood pressure in a normotensive Chinese middle-aged population</article-title>. <source>Angiology</source>. (<year>2016</year>) <volume>67</volume>:<fpage>174</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0003319715584134</pub-id>, PMID: <pub-id pub-id-type="pmid">25934007</pub-id></citation></ref>
<ref id="ref19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cheng</surname> <given-names>HM</given-names></name> <name><surname>Sung</surname> <given-names>SH</given-names></name> <name><surname>Shih</surname> <given-names>YT</given-names></name> <name><surname>Chuang</surname> <given-names>SY</given-names></name> <name><surname>Yu</surname> <given-names>WC</given-names></name> <name><surname>Chen</surname> <given-names>CH</given-names></name></person-group>. <article-title>Measurement accuracy of a stand-alone oscillometric central blood pressure monitor: a validation report for microlife WatchBP central office</article-title>. <source>Am J Hypertens</source>. (<year>2013</year>) <volume>26</volume>:<fpage>42</fpage>&#x2013;<lpage>50</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ajh/hps021</pub-id></citation></ref>
<ref id="ref20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mahendru</surname> <given-names>AA</given-names></name> <name><surname>Everett</surname> <given-names>TR</given-names></name> <name><surname>Wilkinson</surname> <given-names>IB</given-names></name> <name><surname>Lees</surname> <given-names>CC</given-names></name> <name><surname>McEniery</surname> <given-names>CM</given-names></name></person-group>. <article-title>A longitudinal study of maternal cardiovascular function from preconception to the postpartum period</article-title>. <source>J Hypertens</source>. (<year>2014</year>) <volume>32</volume>:<fpage>849</fpage>&#x2013;<lpage>56</lpage>. doi: <pub-id pub-id-type="doi">10.1097/HJH.0000000000000090</pub-id>, PMID: <pub-id pub-id-type="pmid">24406777</pub-id></citation></ref>
<ref id="ref21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Macedo</surname> <given-names>ML</given-names></name> <name><surname>Luminoso</surname> <given-names>D</given-names></name> <name><surname>Savvidou</surname> <given-names>MD</given-names></name> <name><surname>McEniery</surname> <given-names>CM</given-names></name> <name><surname>Nicolaide</surname> <given-names>KH</given-names></name></person-group>. <article-title>Maternal wave reflections and arterial stiffness as assessed by applanation tonometry</article-title>. <source>Hypertension</source>. (<year>2008</year>) <volume>51</volume>:<fpage>1047</fpage>&#x2013;<lpage>51</lpage>. doi: <pub-id pub-id-type="doi">10.1161/HYPERTENSIONAHA.107.106062</pub-id></citation></ref>
<ref id="ref22"><label>22.</label><citation citation-type="other">World Medical Association. Declaration of Helsinki World Medical Association declaration of Helsinki ethical principles for medical research involving human subjects. Bull World Health Organ. (2001) 79:373&#x2013;4. Epub 2003 Jul 2.</citation></ref>
<ref id="ref23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Brown</surname> <given-names>MA</given-names></name> <name><surname>Magee</surname> <given-names>LA</given-names></name> <name><surname>Kenny</surname> <given-names>LC</given-names></name> <name><surname>Karumanchi</surname> <given-names>SA</given-names></name> <name><surname>McCarthy</surname> <given-names>FP</given-names></name> <name><surname>Saito</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>The hypertensive disorders of pregnancy: ISSHP classification, diagnosis &#x0026; management recommendations for international practice</article-title>. <source>Pregnancy Hypertens</source>. (<year>2018</year>) <volume>13</volume>:<fpage>291</fpage>&#x2013;<lpage>310</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.preghy.2018.05.004</pub-id></citation></ref>
<ref id="ref24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stergiou</surname> <given-names>GS</given-names></name> <name><surname>Alpert</surname> <given-names>B</given-names></name> <name><surname>Mieke</surname> <given-names>S</given-names></name> <name><surname>Asmar</surname> <given-names>R</given-names></name> <name><surname>Atkins</surname> <given-names>N</given-names></name> <name><surname>Eckert</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>A universal standard for the validation of blood pressure measuring devices: association for the advancement of medical instrumentation/European society of hypertension/international organization for standardization (AAMI/ESH/ISO) collaboration statement</article-title>. <source>Hypertension</source>. (<year>2018</year>) <volume>71</volume>:<fpage>368</fpage>&#x2013;<lpage>74</lpage>. doi: <pub-id pub-id-type="doi">10.1161/HYPERTENSIONAHA.117.10237</pub-id>, PMID: <pub-id pub-id-type="pmid">29386350</pub-id></citation></ref>
<ref id="ref25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hurrell</surname> <given-names>A</given-names></name> <name><surname>Webster</surname> <given-names>L</given-names></name> <name><surname>Chappell</surname> <given-names>LC</given-names></name> <name><surname>Shennan</surname> <given-names>AH</given-names></name></person-group>. <article-title>The assessment of blood pressure in pregnant women: pitfalls and novel approaches</article-title>. <source>Am J Obstet Gynecol</source>. (<year>2022</year>) <volume>226</volume>:<fpage>S804</fpage>&#x2013;<lpage>18</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ajog.2020.10.026</pub-id></citation></ref>
<ref id="ref26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chulkov</surname> <given-names>VS</given-names></name> <name><surname>Sinitsin</surname> <given-names>SP</given-names></name> <name><surname>Vereina</surname> <given-names>NK</given-names></name></person-group>. <article-title>Prognostic value of central aortic pressure in pregnant women with hypertension</article-title>. <source>Kardiologiia</source>. (<year>2015</year>) <volume>55</volume>:<fpage>29</fpage>&#x2013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.18565/cardio.2015.5.29-33</pub-id>, PMID: <pub-id pub-id-type="pmid">26615621</pub-id></citation></ref>
<ref id="ref27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Booysen</surname> <given-names>HL</given-names></name> <name><surname>Norton</surname> <given-names>GR</given-names></name> <name><surname>Maseko</surname> <given-names>MJ</given-names></name> <name><surname>Libhaber</surname> <given-names>CD</given-names></name> <name><surname>Majane</surname> <given-names>OHI</given-names></name> <name><surname>Sareli</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Aortic, but not brachial blood pressure category enhances the ability to identify target organ changes in normotensives</article-title>. <source>J Hypertens</source>. (<year>2013</year>) <volume>31</volume>:<fpage>1124</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1097/HJH.0b013e328360802a</pub-id>, PMID: <pub-id pub-id-type="pmid">23552129</pub-id></citation></ref>
<ref id="ref28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fujime</surname> <given-names>M</given-names></name> <name><surname>Tomimatsu</surname> <given-names>T</given-names></name> <name><surname>Okaue</surname> <given-names>Y</given-names></name> <name><surname>Koyama</surname> <given-names>S</given-names></name> <name><surname>Kanagawa</surname> <given-names>T</given-names></name> <name><surname>Taniguchi</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Central aortic blood pressure and augmentation index during normal pregnancy</article-title>. <source>Hypertens Res</source>. (<year>2012</year>) <volume>35</volume>:<fpage>633</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1038/hr.2012.1</pub-id>, PMID: <pub-id pub-id-type="pmid">22297477</pub-id></citation></ref>
<ref id="ref29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Priyadarsini</surname> <given-names>N</given-names></name> <name><surname>Singh</surname> <given-names>SC</given-names></name> <name><surname>Sethi</surname> <given-names>P</given-names></name> <name><surname>Mohapatra</surname> <given-names>S</given-names></name> <name><surname>Goyal</surname> <given-names>M</given-names></name> <name><surname>Rao</surname> <given-names>BN</given-names></name></person-group>. <article-title>Hemodynamic changes in pregnancy: does central blood pressure have any role?</article-title> <source>Women Health</source>. (<year>2023</year>) <volume>63</volume>:<fpage>150</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1080/03630242.2022.2164115</pub-id>, PMID: <pub-id pub-id-type="pmid">36593559</pub-id></citation></ref>
<ref id="ref30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jacobs</surname> <given-names>DR</given-names></name> <name><surname>Duprez</surname> <given-names>DA</given-names></name> <name><surname>Shimbo</surname> <given-names>D</given-names></name></person-group>. <article-title>Invited commentary: hypertension and arterial stiffness&#x2014;origins remain a dilemma</article-title>. <source>Am J Epidemiol</source>. (<year>2016</year>) <volume>183</volume>:<fpage>609</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1093/aje/kwv276</pub-id></citation></ref>
<ref id="ref31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Warner</surname> <given-names>DS</given-names></name> <name><surname>Warner</surname> <given-names>MA</given-names></name> <name><surname>Gelman</surname> <given-names>S</given-names></name></person-group>. <article-title>Venous function and central venous pressure a physiologic story function of the venous system</article-title>. <source>Anesthesiology</source>. (<year>2008</year>) <volume>108</volume>:<fpage>735</fpage>&#x2013;<lpage>48</lpage>. doi: <pub-id pub-id-type="doi">10.1097/ALN.0b013e3181672607</pub-id></citation></ref>
<ref id="ref32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McEniery</surname> <given-names>CM</given-names></name> <name><surname>Cockcroft</surname> <given-names>JR</given-names></name> <name><surname>Roman</surname> <given-names>MJ</given-names></name> <name><surname>Franklin</surname> <given-names>SS</given-names></name> <name><surname>Wilkinson</surname> <given-names>IB</given-names></name></person-group>. <article-title>Central blood pressure: current evidence and clinical importance</article-title>. <source>Eur Heart J</source>. (<year>2014</year>) <volume>35</volume>:<fpage>1719</fpage>&#x2013;<lpage>25</lpage>. doi: <pub-id pub-id-type="doi">10.1093/eurheartj/eht565</pub-id>, PMID: <pub-id pub-id-type="pmid">24459197</pub-id></citation></ref>
<ref id="ref33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Williams</surname> <given-names>B</given-names></name> <name><surname>Mancia</surname> <given-names>G</given-names></name> <name><surname>Spiering</surname> <given-names>W</given-names></name> <name><surname>Rosei</surname> <given-names>EA</given-names></name> <name><surname>Azizi</surname> <given-names>M</given-names></name> <name><surname>Burnier</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>2018 ESC/ESH guidelines for the management of arterial hypertension</article-title>. <source>Eur Heart J</source>. (<year>2018</year>) <volume>39</volume>:<fpage>3021</fpage>&#x2013;<lpage>104</lpage>. doi: <pub-id pub-id-type="doi">10.1093/eurheartj/ehy339</pub-id></citation></ref>
<ref id="ref34"><label>34.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Baba</surname> <given-names>BA</given-names></name> <name><surname>Johan</surname> <given-names>PT</given-names></name> <name><surname>Mohan</surname> <given-names>JC</given-names></name></person-group>. <article-title>Comparsion of central aortic pressure to brachial artery pressure in hypertensive patients on drug treatment: an observational study</article-title>. <source>Indian Heart J</source>. (<year>2018</year>) <volume>70</volume>:<fpage>S208</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ihj.2018.10.418</pub-id>, PMID: <pub-id pub-id-type="pmid">30595260</pub-id></citation></ref>
<ref id="ref35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>SJ</given-names></name> <name><surname>Chen</surname> <given-names>CP</given-names></name> <name><surname>Buchwalder</surname> <given-names>L</given-names></name> <name><surname>Yu</surname> <given-names>YC</given-names></name> <name><surname>Piao</surname> <given-names>L</given-names></name> <name><surname>Huang</surname> <given-names>CY</given-names></name> <etal/></person-group>. <article-title>Regulation of CX3CL1 expression in human first-trimester decidual cells: implications for preeclampsia</article-title>. <source>Reprod Sci</source>. (<year>2019</year>) <volume>26</volume>:<fpage>1256</fpage>&#x2013;<lpage>65</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1933719118815592</pub-id>, PMID: <pub-id pub-id-type="pmid">30606080</pub-id></citation></ref>
<ref id="ref36"><label>36.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lamarche</surname> <given-names>F</given-names></name> <name><surname>Agharazii</surname> <given-names>M</given-names></name> <name><surname>Madore</surname> <given-names>F</given-names></name> <name><surname>Goupil</surname> <given-names>R</given-names></name></person-group>. <article-title>Prediction of cardiovascular events by type I central systolic blood pressure: a prospective study</article-title>. <source>Hypertension</source>. (<year>2021</year>) <volume>77</volume>:<fpage>319</fpage>&#x2013;<lpage>27</lpage>. doi: <pub-id pub-id-type="doi">10.1161/HYPERTENSIONAHA.120.16163</pub-id>, PMID: <pub-id pub-id-type="pmid">33307853</pub-id></citation></ref>
<ref id="ref37"><label>37.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Turi</surname> <given-names>VR</given-names></name> <name><surname>Luca</surname> <given-names>CT</given-names></name> <name><surname>Gaita</surname> <given-names>D</given-names></name> <name><surname>Iurciuc</surname> <given-names>S</given-names></name> <name><surname>Petre</surname> <given-names>I</given-names></name> <name><surname>Iurciuc</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Diagnosing arterial stiffness in pregnancy and its implications in the cardio-renal-metabolic chain</article-title>. <source>Diagnostics (Basel)</source>. (<year>2022</year>) <volume>12</volume>:<fpage>2221</fpage>. doi: <pub-id pub-id-type="doi">10.3390/diagnostics12092221</pub-id>, PMID: <pub-id pub-id-type="pmid">36140621</pub-id></citation></ref>
<ref id="ref38"><label>38.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>HL</given-names></name> <name><surname>Weber</surname> <given-names>T</given-names></name></person-group>. <article-title>Pulsatile hemodynamics and coronary artery disease</article-title>. <source>Korean Circ J</source>. (<year>2021</year>) <volume>51</volume>:<fpage>881</fpage>&#x2013;<lpage>98</lpage>. doi: <pub-id pub-id-type="doi">10.4070/kcj.2021.0227</pub-id></citation></ref>
<ref id="ref39"><label>39.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Laurent</surname> <given-names>S</given-names></name> <name><surname>Boutouyrie</surname> <given-names>P</given-names></name></person-group>. <article-title>Arterial stiffness and hypertension in the elderly</article-title>. <source>Front Cardiovasc Med</source>. (<year>2020</year>) <volume>7</volume>:<fpage>544302</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fcvm.2020.544302</pub-id></citation></ref>
<ref id="ref40"><label>40.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Agabiti-Rosei</surname> <given-names>E</given-names></name> <name><surname>Mancia</surname> <given-names>G</given-names></name> <name><surname>O&#x2019;Rourke</surname> <given-names>MF</given-names></name> <name><surname>Roman</surname> <given-names>MJ</given-names></name> <name><surname>Safar</surname> <given-names>ME</given-names></name> <name><surname>Smulyan</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Central blood pressure measurements and antihypertensive therapy: a consensus document</article-title>. <source>Hypertension</source>. (<year>2007</year>) <volume>50</volume>:<fpage>154</fpage>&#x2013;<lpage>60</lpage>. doi: <pub-id pub-id-type="doi">10.1161/HYPERTENSIONAHA.107.090068</pub-id></citation></ref>
<ref id="ref41"><label>41.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Douglas</surname> <given-names>KA</given-names></name> <name><surname>Redman</surname> <given-names>CWG</given-names></name></person-group>. <article-title>Eclampsia in the United Kingdom</article-title>. <source>BMJ</source>. (<year>1994</year>) <volume>309</volume>:<fpage>1395</fpage>&#x2013;<lpage>400</lpage>. doi: <pub-id pub-id-type="doi">10.1136/bmj.309.6966.1395</pub-id></citation></ref>
<ref id="ref42"><label>42.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sibai</surname> <given-names>BM</given-names></name></person-group>. <article-title>The HELLP syndrome (hemolysis, elevated liver enzymes, and low platelets): much ado about nothing?</article-title> <source>Am J Obstet Gynecol</source>. (<year>1990</year>) <volume>162</volume>:<fpage>311</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1016/0002-9378(90)90376-I</pub-id>, PMID: <pub-id pub-id-type="pmid">2309811</pub-id></citation></ref>
<ref id="ref43"><label>43.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Martin</surname> <given-names>JN</given-names></name> <name><surname>Thigpen</surname> <given-names>BD</given-names></name> <name><surname>Moore</surname> <given-names>RC</given-names></name> <name><surname>Rose</surname> <given-names>CH</given-names></name> <name><surname>Cushman</surname> <given-names>J</given-names></name> <name><surname>May</surname> <given-names>W</given-names></name></person-group>. <article-title>Stroke and severe preeclampsia and eclampsia: a paradigm shift focusing on systolic blood pressure</article-title>. <source>Obstet Gynecol</source>. (<year>2005</year>) <volume>105</volume>:<fpage>246</fpage>&#x2013;<lpage>54</lpage>. doi: <pub-id pub-id-type="doi">10.1097/01.AOG.0000151116.84113.56</pub-id>, PMID: <pub-id pub-id-type="pmid">15684147</pub-id></citation></ref>
</ref-list>
</back>
</article>
