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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">wjcd</journal-id>
      <journal-title-group>
        <journal-title>World Journal of Cardiovascular Diseases</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2164-5337</issn>
      <issn pub-type="ppub">2164-5329</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/wjcd.2026.164021</article-id>
      <article-id pub-id-type="publisher-id">wjcd-150580</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Medicine</subject>
          <subject>Healthcare</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Arterial Stiffness Assessment: A Comparative Study between Hypertensive and Normotensive Subjects at the Urgences Cardio Clinic in Dakar, Senegal</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0009-0003-1316-6907</contrib-id>
          <name name-style="western">
            <surname>Mingou</surname>
            <given-names>Joseph Salvador</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-1954-0210</contrib-id>
          <name name-style="western">
            <surname>Touré</surname>
            <given-names>Maimouna</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Souza</surname>
            <given-names>Moulèro Axel Enzo De</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Diouf</surname>
            <given-names>Marguerite Tening</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Sarr</surname>
            <given-names>Simon Antoine</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Aw</surname>
            <given-names>Fatou</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ngaidé</surname>
            <given-names>Aliou Alassane</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ndiaye</surname>
            <given-names>Malick</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Dioum</surname>
            <given-names>Momar</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Bodian</surname>
            <given-names>Malick</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ndiaye</surname>
            <given-names>Mouhamadou Bamba</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ba</surname>
            <given-names>Abdoulaye</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Diao</surname>
            <given-names>Maboury</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Kane</surname>
            <given-names>Abdoul</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Department of Cardiology, Aristide Le Dantec Hospital, Dakar, Senegal </aff>
      <aff id="aff2"><label>2</label> Department of Cardiology, Dalal Jamm Hospital, Dakar, Senegal </aff>
      <aff id="aff3"><label>3</label> Laboratory of Physiology and Functional Explorations, Faculty of Medicine, of Pharmacy and of Dentistry, UCAD, Dakar, Senegal </aff>
      <aff id="aff4"><label>4</label> Department of Cardiology, Fann Hospital, Dakar, Senegal </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>01</day>
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <volume>16</volume>
      <issue>04</issue>
      <fpage>205</fpage>
      <lpage>216</lpage>
      <history>
        <date date-type="received">
          <day>27</day>
          <month>01</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>29</day>
          <month>03</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>01</day>
          <month>04</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/wjcd.2026.164021">https://doi.org/10.4236/wjcd.2026.164021</self-uri>
      <abstract>
        <p><bold>Introduction:</bold> Arterial stiffness is a major marker of vascular aging and an independent predictor of cardiovascular morbidity and mortality. Hypertension, highly prevalent in sub-Saharan Africa, plays a central role in the pathophysiology of arterial stiffness and target organ damage. However, data on arterial stiffness in West Africa, particularly in Senegal, remain scarce. This study aimed to assess arterial stiffness and compare pulse wave velocity between hypertensive and normotensive outpatients in Dakar. <bold>Methods:</bold> This was a cross-sectional, comparative, descriptive, and analytical study conducted at the Urgences Cardio Clinic in Dakar. Adult outpatients were consecutively included and divided into two groups according to blood pressure status (hypertensive versus normotensive). Sociodemographic and clinical data, as well as cardiovascular risk factors, were collected. Arterial stiffness was assessed using finger-to-toe pulse wave velocity (ftPWV) measured by photoplethysmography with the pOpmètre<sup>®</sup>. Global cardiovascular risk was estimated using the Framingham risk score. Statistical analysis was performed to identify factors associated with increased arterial stiffness. <bold>Results:</bold> Arterial stiffness was higher in hypertensive patients compared with normotensive subjects. Finger-to-toe pulse wave velocity increased significantly with age, highlighting a positive correlation between vascular aging and arterial stiffness. Elevated blood pressure, higher pulse pressure, and the accumulation of cardiovascular risk factors were associated with higher ftPWV values. Moreover, patients with a higher global cardiovascular risk according to the Framingham score exhibited greater arterial stiffness. Multivariate analysis identified age, hypertensive status, and cardiovascular risk factor burden as the main determinants of increased arterial stiffness. <bold>Conclusion:</bold> Arterial stiffness is significantly greater in hypertensive subjects and is strongly influenced by age and cardiovascular risk factors in our population. Measurement of ftPWV using the pOpmètre<sup>®</sup>, a simple and non-invasive method, appears to be a relevant tool for the early detection of vascular aging in resource-limited settings. Its integration into hypertension management could improve cardiovascular risk stratification in sub-Saharan Africa.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Arterial Stiffness</kwd>
        <kwd>Pulse Wave Velocity</kwd>
        <kwd>Hypertension</kwd>
        <kwd>Cardiovascular Risk</kwd>
        <kwd>pOpmètre</kwd>
        <kwd>Senegal</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Cardiovascular diseases are the leading cause of mortality worldwide, and their burden is rising markedly in low- and middle-income countries, particularly in sub-Saharan Africa [<xref ref-type="bibr" rid="B1">1</xref>]. In this context, the identification of early markers of cardiovascular risk represents a major public health priority. Arterial stiffness, defined as the reduction in compliance and distensibility of large arteries, is now recognized as an independent marker of vascular aging and overall cardiovascular risk [<xref ref-type="bibr" rid="B2">2</xref>][<xref ref-type="bibr" rid="B3">3</xref>].</p>
      <p>Pulse wave velocity (PWV) is considered the non-invasive gold standard for the assessment of arterial stiffness. Numerous studies have demonstrated that increased PWV is independently associated with the occurrence of major cardiovascular events and mortality, regardless of traditional cardiovascular risk factors [<xref ref-type="bibr" rid="B3">3</xref>][<xref ref-type="bibr" rid="B4">4</xref>]. From a pathophysiological perspective, hypertension and arterial stiffness have a bidirectional relationship: chronic elevation of blood pressure promotes vascular remodeling and stiffening of the arterial wall, while increased arterial stiffness leads to higher systolic blood pressure, increased pulse pressure, and greater left ventricular afterload, thereby contributing to target organ damage [<xref ref-type="bibr" rid="B2">2</xref>][<xref ref-type="bibr" rid="B5">5</xref>].</p>
      <p>Hypertension represents a major public health issue in sub-Saharan Africa, with high prevalence rates and frequently inadequate blood pressure control, resulting in substantial cardiovascular morbidity and mortality [<xref ref-type="bibr" rid="B1">1</xref>][<xref ref-type="bibr" rid="B6">6</xref>]. However, data on arterial stiffness in West Africa, particularly in Senegal, remain scarce. The use of simplified devices such as the pOpmètre<sup>®</sup>, which measures finger-to-toe pulse wave velocity by photoplethysmography, provides a non-invasive, rapid, and practical alternative that is well suited to resource-limited settings [<xref ref-type="bibr" rid="B7">7</xref>].</p>
      <p>Therefore, the objective of this study was to assess arterial stiffness and to compare finger-to-toe pulse wave velocity between hypertensive and normotensive outpatients in Dakar, Senegal, in order to identify factors associated with increased arterial stiffness in our setting.</p>
    </sec>
    <sec id="sec2">
      <title>2. Methods</title>
      <sec id="sec2dot1">
        <title>2.1. Study Design and Setting</title>
        <p>This was an observational, analytical, and comparative cross-sectional study conducted at the Laboratory of Physiology and Functional Explorations of the Faculty of medicine, pharmacy and dentistry of UCAD and at the Urgences Cardio Clinic, in Dakar (Senegal).</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Study Population</title>
        <p>The study population consisted of adult patients attending outpatient consultations at the clinic during the study period. Participants were classified into two groups according to their blood pressure status: hypertensive subjects and normotensive subjects.</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Inclusion Criteria</title>
        <p>The following patients were included in the study:</p>
        <p>patients aged 18 years and older;patients who underwent blood pressure measurement and arterial stiffness assessment using the pOpmètre<sup>®</sup>;patients who provided written informed consent to participate in the study.</p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Non-Inclusion Criteria</title>
        <p>The following patients were not included:</p>
        <p>patients with major cardiac arrhythmias likely to affect pulse wave velocity measurement;patients with unstable acute conditions;patients with incomplete clinical data;patients who refused to participate in the study.</p>
      </sec>
      <sec id="sec2dot5">
        <title>2.5. Sampling</title>
        <p>A consecutive and exhaustive recruitment of all eligible patients meeting the inclusion criteria was performed during the study period in order to minimize selection bias.</p>
      </sec>
      <sec id="sec2dot6">
        <title>2.6. Data Collection</title>
        <p>Data were collected from medical records, clinical interviews, and measurements performed during outpatient consultations.</p>
        <p>The variables collected included sociodemographic data such as age, sex, socioeconomic level, and occupational status. Clinical data and cardiovascular risk factors were also recorded, including hypertension, diabetes mellitus, dyslipidemia, smoking status, body mass index (BMI), and history of cardiovascular disease.</p>
        <p>Blood pressure was measured using a validated automated sphygmomanometer after at least 5 minutes of rest in the seated position, in accordance with international recommendations. Hypertension was defined as a systolic blood pressure ≥ 140 mmHg and/or a diastolic blood pressure ≥ 90 mmHg, or current use of antihypertensive medication.</p>
      </sec>
      <sec id="sec2dot7">
        <title>2.7. Assessment of Arterial Stiffness</title>
        <p>Arterial stiffness was assessed using finger-to-toe pulse wave velocity (ftPWV) measured with the pOpmètre<sup>®</sup> (Axelife), a non-invasive device based on photoplethysmography.</p>
        <p>Measurements were performed in a quiet room, with the patient in the supine position after at least 10 minutes of rest. Two photoplethysmographic sensors were placed on the index finger and the ipsilateral toe. The device automatically measured pulse transit time and calculated ftPWV. Elevated PWV was defined according to the manufacturer’s reference values and published literature.</p>
      </sec>
      <sec id="sec2dot8">
        <title>2.8. Ambulatory Blood Pressure Monitoring</title>
        <p>Ambulatory blood pressure monitoring (ABPM) was performed using a <bold>CONTEC® device, model ABPM50</bold>, which allows automated blood pressure recording over a 24-hour period.</p>
      </sec>
      <sec id="sec2dot9">
        <title>2.9. Measurement of Arterial Stiffness</title>
        <p>Arterial stiffness was assessed using <bold>digital toe pulse wave velocity (</bold><bold>ftPWV</bold><bold>)</bold> measured with the <bold>pOpmètre</bold><bold>® (</bold><bold>Axelife</bold><bold>® SAS, France)</bold>, a non-invasive device based on photoplethysmography that records the pulse wave transit time between the finger and the toe.</p>
      </sec>
      <sec id="sec2dot10">
        <title>2.10. Measurement Procedure</title>
        <p>Measurements were performed in <bold>outpatients during consultation in a quiet room after a period of rest</bold>.</p>
        <p>Two photoplethysmographic sensors were placed simultaneously:</p>
        <p>one on the <bold>finger</bold>,the other on the <bold>toe</bold>.</p>
        <p>The device automatically calculated:</p>
        <p>the <bold>pulse wave transit time</bold> between the two sites,and subsequently the <bold>digital toe pulse wave velocity (</bold><bold>ftPWV</bold><bold>)</bold>.</p>
        <p>2.10.1. Quality Control and Validity of Measurements</p>
        <p>Measurements were considered <bold>invalid</bold> in the following situations:</p>
        <p>device reading failure,poor-quality photoplethysmographic signal,presence of technical artifacts,interruption or improper acquisition of the recording.</p>
        <p>In such cases, the measurement was <bold>repeated</bold>, or the patient was <bold>excluded from the analysis if no valid measurement could be obtained</bold>.</p>
        <p>2.10.2. Handling of Repeated Measurements</p>
        <p>The <bold>ftPWV</bold><bold>value retained for analysis corresponded to the valid measurement recorded by the device</bold>, automatically calculated by the pOpmètre<sup>®</sup>.</p>
        <p>2.10.3. Definition of Increased Arterial Stiffness</p>
        <p>According to <bold>international ESC/ESH recommendations and consensus documents on arterial stiffness</bold>, a <bold>PWV ≥ 10 m/s</bold> was considered abnormal and indicative of <bold>increased arterial stiffness associated with higher cardiovascular risk</bold>.</p>
      </sec>
      <sec id="sec2dot11">
        <title>2.11. Cardiovascular Risk Assessment</title>
        <p>Global cardiovascular risk was estimated using the Framingham risk score, which incorporates age, sex, blood pressure, smoking status, and metabolic risk factors.</p>
      </sec>
      <sec id="sec2dot12">
        <title>2.12. Statistical Analysis</title>
        <p>Data were entered and analyzed using [SPSS version XX / R / Stata] software.</p>
        <p>Quantitative variables were expressed as mean ± standard deviation or median with interquartile range, depending on their distribution. Qualitative variables were presented as frequencies and percentages.</p>
        <p>Comparisons between hypertensive and normotensive groups were performed:</p>
        <p>using the Student’s t-test (or Mann–Whitney U test) for quantitative variables;using the Chi-square test (or Fisher’s exact test) for qualitative variables.</p>
        <p>Multivariate linear and/or logistic regression analyses were conducted to identify factors independently associated with increased arterial stiffness.</p>
        <p>The level of statistical significance was set at p &lt; 0.05.</p>
      </sec>
      <sec id="sec2dot13">
        <title>2.13. Ethical Considerations</title>
        <p>The study was conducted in accordance with the ethical principles of the Declaration of Helsinki. Institutional authorization was obtained from the Urgences Cardio Clinic in Dakar prior to the initiation of data collection. Patient data were handled confidentially and anonymized to ensure privacy and data protection.</p>
        <p>This study was conducted with the authorization of the healthcare facility and in compliance with patient confidentiality and informed consent requirements.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. General Characteristics of the Study Population</title>
        <p>During the study period, a total of 155 patients were seen at the Urgences Cardio Clinic in Dakar for ambulatory blood pressure monitoring (ABPM). Among them, 107 patients were included in the final analysis after the exclusion of 48 patients due to non-interpretable ABPM recordings (n = 13), invalid arterial stiffness measurements with the pOpmètre<sup>®</sup> (n = 11), and refusal to participate (n = 24) (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/1911746-rId16.jpeg?20260401040408" />
        </fig>
        <p>Figure 1. Flowchart of patient selection. ABPM: ambulatory blood pressure monitoring.</p>
        <p>Among the 107 participants included, 86 (80.4%) were hypertensive and 21 (19.6%) were normotensive.</p>
        <p>The mean age of the study population was 54.16 years, ranging from 22 to 83 years. The mean age was 56.96 years in men and 51.79 years in women (p = 0.054). Hypertensive patients were significantly older than normotensive subjects (56.36 years versus 45.14 years; p = 0.008). The population was predominantly composed of individuals aged 50 years and older (62.6%).</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Anthropometric Data and Cardiovascular Risk Factors</title>
        <p>The mean body mass index (BMI) was 29.83 kg/m<sup>2</sup>, with a prevalence of obesity of 42.5% and overweight of 41.5%. The main cardiovascular risk factors were hypertension (80.4%), abdominal obesity (75.7%), family history of hypertension (62.62%), physical inactivity (50.47%), diabetes mellitus (20.56%), smoking (8.41%), and alcohol consumption (23.36%) (<bold>Table 1</bold>).</p>
        <p>Table 1. Clinical characteristics of the study population according to sex.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Variables</bold>
                </td>
                <td>
                  <bold>Total 107 (100%)</bold>
                </td>
                <td>
                  <bold>Men 49 (45.8%)</bold>
                </td>
                <td>
                  <bold>Women 58 (54.2%)</bold>
                </td>
                <td>
                  <bold>p-value</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Smoking</bold>
                </td>
                <td>9 (8.41%)</td>
                <td>5 (10.20%)</td>
                <td>4 (6.90%)</td>
                <td>0.124</td>
              </tr>
              <tr>
                <td>
                  <bold>Alcohol consumption</bold>
                </td>
                <td>25 (23.36%)</td>
                <td>13 (26.53%)</td>
                <td>12 (20.69%)</td>
                <td>0.477</td>
              </tr>
              <tr>
                <td>
                  <bold>Family history of hypertension</bold>
                </td>
                <td>67 (62.62%)</td>
                <td>27 (55.10%)</td>
                <td>40 (68.97%)</td>
                <td>0.140</td>
              </tr>
              <tr>
                <td>
                  <bold>Hypertension</bold>
                </td>
                <td>86 (80.4%)</td>
                <td>40 (81.63%)</td>
                <td>46 (79.31%)</td>
                <td>0.755</td>
              </tr>
              <tr>
                <td>
                  <bold>Diabetes mellitus</bold>
                </td>
                <td>22 (20.56%)</td>
                <td>10 (20.41%)</td>
                <td>12 (20.69%)</td>
                <td>0.971</td>
              </tr>
              <tr>
                <td>
                  <bold>Physical inactivity</bold>
                </td>
                <td>54 (50.47%)</td>
                <td>23 (46.94%)</td>
                <td>31 (53.45%)</td>
                <td>0.502</td>
              </tr>
              <tr>
                <td>
                  <bold>Abdominal obesity</bold>
                </td>
                <td>81 (75.7%)</td>
                <td>29 (59.18%)</td>
                <td>52 (89.66%)</td>
                <td>0.0001</td>
              </tr>
              <tr>
                <td>
                  <bold>Overweight</bold>
                </td>
                <td>44 (41.12%)</td>
                <td>18 (36.73%)</td>
                <td>26 (44.83%)</td>
                <td>0.088</td>
              </tr>
              <tr>
                <td>
                  <bold>Obesity</bold>
                </td>
                <td>45 (42.06%)</td>
                <td>19 (38.78%)</td>
                <td>26 (44.83%)</td>
                <td>—</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Abdominal obesity was significantly more frequent in women than in men (89.66% versus 59.18%; p = 0.0001). </p>
        <p>According to the Framingham risk score, 28.0% of patients had a high global cardiovascular risk, with a predominance in men (<bold>Table 2</bold>).</p>
        <p>Table 2. Global cardiovascular risk assessment according to the Framingham score and sex.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Framingham risk score</bold>
                </td>
                <td>
                  <bold>Total (n = 25)</bold>
                </td>
                <td>
                  <bold>Men (n = 12)</bold>
                </td>
                <td>
                  <bold>Women (n = 13)</bold>
                </td>
                <td>
                  <bold>p-value</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Low (&lt;10%)</bold>
                </td>
                <td>8</td>
                <td>3 (37.5%)</td>
                <td>5 (62.5%)</td>
                <td>0.672</td>
              </tr>
              <tr>
                <td>
                  <bold>Intermediate (10</bold>
                  <bold>% -</bold>
                  <bold>19%)</bold>
                </td>
                <td>10</td>
                <td>4 (40.0%)</td>
                <td>6 (60.0%)</td>
                <td>0.6882</td>
              </tr>
              <tr>
                <td>
                  <bold>High (&gt;20%)</bold>
                </td>
                <td>7</td>
                <td>5 (71.4%)</td>
                <td>2 (28.6%)</td>
                <td>0.201</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Arterial Stiffness and Pulse Wave Velocity</title>
        <p>A substantial proportion of participants exhibited abnormal arterial stiffness, defined as finger-to-toe pulse wave velocity (ftPWV) ≥ 10 m/s.</p>
        <p>ftPWV increased progressively with age, reflecting the impact of vascular aging on the loss of arterial distensibility. Linear regression analysis demonstrated a positive and statistically significant correlation between age and PWV (p = 0.010) (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
        <fig id="fig2">
          <label>Figure 2</label>
          <graphic xlink:href="https://html.scirp.org/file/1911746-rId17.jpeg?20260401040408" />
        </fig>
        <p>Figure 2. Linear regression model illustrating the correlation between age and pulse wave velocity.</p>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Arterial Stiffness and Ambulatory Blood Pressure Parameters</title>
        <p>The mean finger-to-toe pulse wave velocity (ftPWV) was significantly higher in patients with nocturnal systolic hypertension compared with those without nocturnal systolic hypertension (11.52 ± 4.97 m/s versus 9.32 ± 1.91 m/s; p = 0.016).</p>
        <p>Furthermore, normal ftPWV values were more frequently observed in cases of nocturnal diastolic hypertension (81.3% versus 51.1%; p = 0.025).</p>
        <p>Analysis of ambulatory blood pressure profiles also showed that a diastolic reverse dipper pattern was more common among subjects with normal ftPWV than among those with abnormal ftPWV (75.0% versus 25.0%; p = 0.035) (<bold>Table 3</bold>).</p>
        <p>Table 3. Paraclinical characteristics of the study population according to mean finger-to-toe pulse wave velocity (ftPWV).</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Variables</bold>
                </td>
                <td>
                  <bold>Category</bold>
                </td>
                <td>
                  <bold>Mean</bold>
                  <bold>ftPWV</bold>
                  <bold>(m/s)</bold>
                </td>
                <td>
                  <bold>p-value</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>24-hour systolic hypertension</bold>
                </td>
                <td>Yes</td>
                <td>10.80 ± 5.08</td>
                <td>0.623</td>
              </tr>
              <tr>
                <td>No</td>
                <td>10.75 ± 5.26</td>
                <td>
                </td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>24-hour diastolic hypertension</bold>
                </td>
                <td>Yes</td>
                <td>10.45 ± 5.19</td>
                <td>0.462</td>
              </tr>
              <tr>
                <td>No</td>
                <td>10.80 ± 5.10</td>
                <td>
                </td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Daytime systolic hypertension</bold>
                </td>
                <td>Yes</td>
                <td>10.97 ± 5.25</td>
                <td>0.701</td>
              </tr>
              <tr>
                <td>No</td>
                <td>10.83 ± 5.19</td>
                <td>
                </td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Daytime diastolic hypertension</bold>
                </td>
                <td>Yes</td>
                <td>11.50 ± 4.63</td>
                <td>0.873</td>
              </tr>
              <tr>
                <td>No</td>
                <td>11.55 ± 4.60</td>
                <td>
                </td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Nocturnal systolic hypertension</bold>
                </td>
                <td>Yes</td>
                <td>11.52 ± 4.97</td>
                <td>0.016</td>
              </tr>
              <tr>
                <td>No</td>
                <td>9.32 ± 1.91</td>
                <td>
                </td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Nocturnal diastolic hypertension</bold>
                </td>
                <td>Yes</td>
                <td>11.34 ± 3.52</td>
                <td>0.656</td>
              </tr>
              <tr>
                <td>No</td>
                <td>11.90 ± 6.27</td>
                <td>
                </td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Elevated pulse pressure</bold>
                </td>
                <td>Yes</td>
                <td>12.65 ± 7.09</td>
                <td>0.058</td>
              </tr>
              <tr>
                <td>No</td>
                <td>9.96 ± 3.76</td>
                <td>
                </td>
              </tr>
              <tr>
                <td rowspan="4">
                  <bold>Systolic dipping pattern</bold>
                </td>
                <td>Reverse dipper</td>
                <td>10.66 ± 3.03</td>
                <td>0.86</td>
              </tr>
              <tr>
                <td>Non-dipper</td>
                <td>10.55 ± 4.82</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Dipper</td>
                <td>10.71 ± 6.40</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Extreme dipper</td>
                <td>—</td>
                <td>
                </td>
              </tr>
              <tr>
                <td rowspan="4">
                  <bold>Diastolic dipping pattern</bold>
                </td>
                <td>Reverse dipper</td>
                <td>9.52 ± 2.29</td>
                <td>0.349</td>
              </tr>
              <tr>
                <td>Non-dipper</td>
                <td>9.89 ± 2.82</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Dipper</td>
                <td>11.57 ± 6.37</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Extreme dipper</td>
                <td>7.23 ± 2.62</td>
                <td>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot5">
        <title>3.5. Cardiovascular Risk Factors and Arterial Stiffness</title>
        <p>Analysis of the cumulative burden of cardiovascular risk factors showed that normotensive subjects more frequently had a single risk factor compared with hypertensive patients (23.81% versus 4.65%; p = 0.013).</p>
        <p>Overall, arterial stiffness was common in this outpatient population followed in Dakar and occurred in a context of a high burden of cardiovascular risk factors, with age and nocturnal blood pressure load playing a central role in the increase of finger-to-toe pulse wave velocity (ftPWV) (<bold>Table 4</bold>).</p>
        <p>Table 4. Characteristics of the population with and without elevated pulse wave velocity according to the number of cardiovascular risk factors and blood pressure status.</p>
        <table-wrap id="tbl4">
          <label>Table 4</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Hypertension</bold>
                </td>
                <td>
                  <bold>Number of CV</bold>
                  <bold>risk factors</bold>
                </td>
                <td>
                  <bold>Normal PWV (&lt;10 m/s)</bold>
                </td>
                <td>
                  <bold>Abnormal PWV (≥10 m/s)</bold>
                </td>
                <td>
                  <bold>Total</bold>
                </td>
                <td>
                  <bold>p-value</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="8">
                  <bold>Yes</bold>
                </td>
                <td>1</td>
                <td>3 (6.5%)</td>
                <td>1 (2.5%)</td>
                <td>4 (4.7%)</td>
                <td>0.322</td>
              </tr>
              <tr>
                <td>2</td>
                <td>8 (17.4%)</td>
                <td>3 (7.5%)</td>
                <td>11 (12.8%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>3</td>
                <td>8 (17.4%)</td>
                <td>4 (10.0%)</td>
                <td>12 (14.0%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>4</td>
                <td>13 (28.3%)</td>
                <td>10 (25.0%)</td>
                <td>23 (26.7%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>5</td>
                <td>9 (19.6%)</td>
                <td>14 (35.0%)</td>
                <td>23 (26.7%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>6</td>
                <td>4 (8.7%)</td>
                <td>5 (12.5%)</td>
                <td>9 (10.5%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>7</td>
                <td>0 (0.0%)</td>
                <td>2 (5.0%)</td>
                <td>2 (2.3%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>8</td>
                <td>1 (2.2%)</td>
                <td>1 (2.5%)</td>
                <td>2 (2.3%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td rowspan="8">
                  <bold>No</bold>
                </td>
                <td>1</td>
                <td>5 (35.7%)</td>
                <td>0 (0.0%)</td>
                <td>5 (23.8%)</td>
                <td>0.382</td>
              </tr>
              <tr>
                <td>2</td>
                <td>3 (21.4%)</td>
                <td>1 (14.3%)</td>
                <td>4 (19.0%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>3</td>
                <td>2 (14.3%)</td>
                <td>3 (42.9%)</td>
                <td>5 (23.8%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>4</td>
                <td>2 (14.3%)</td>
                <td>2 (28.6%)</td>
                <td>4 (19.0%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>5</td>
                <td>2 (14.3%)</td>
                <td>1 (14.3%)</td>
                <td>3 (14.3%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>6</td>
                <td>0 (0.0%)</td>
                <td>0 (0.0%)</td>
                <td>0 (0.0%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>7</td>
                <td>0 (0.0%)</td>
                <td>0 (0.0%)</td>
                <td>0 (0.0%)</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>8</td>
                <td>0 (0.0%)</td>
                <td>0 (0.0%)</td>
                <td>0 (0.0%)</td>
                <td>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>The present study, conducted among 107 outpatients followed in Dakar, highlights a high prevalence of arterial stiffness in a population characterized by a substantial burden of cardiovascular risk factors, notably hypertension (80.4%), abdominal obesity (75.7%), and a mean body mass index of 29.83 kg/m<sup>2</sup>, with 42.5% obesity and 41.5% overweight. These findings reflect the epidemiological transition observed in sub-Saharan Africa, marked by a rising burden of cardiovascular diseases related to urbanization and lifestyle changes [<xref ref-type="bibr" rid="B1">1</xref>][<xref ref-type="bibr" rid="B8">8</xref>].</p>
      <sec id="sec4dot1">
        <title>4.1. Vascular Aging and Arterial Stiffness</title>
        <p>One of the main findings of our study is the positive and statistically significant correlation between age and finger-to-toe pulse wave velocity (ftPWV) (p = 0.010), indicating a progressive increase in arterial stiffness with advancing age. This result is fully consistent with the international literature showing that pulse wave velocity increases steadily with age due to elastic fiber fragmentation, increased collagen deposition, and progressive vascular remodeling [<xref ref-type="bibr" rid="B3">3</xref>][<xref ref-type="bibr" rid="B9">9</xref>].</p>
        <p>Thus, in our population, predominantly composed of middle-aged adults, the observed increase in arterial stiffness already reflects notable vascular aging, confirming that age is the most consistent determinant of arterial stiffness, as reported in large international cohorts [<xref ref-type="bibr" rid="B10">10</xref>][<xref ref-type="bibr" rid="B11">11</xref>].</p>
      </sec>
      <sec id="sec4dot2">
        <title>4.2. Hypertension and Nocturnal Blood Pressure Load</title>
        <p>Our study demonstrates that nocturnal blood pressure load plays a major role in the increase of arterial stiffness. Indeed, mean ftPWV was significantly higher in patients with nocturnal systolic hypertension compared with those without nocturnal hypertension (11.52 ± 4.97 m/s versus 9.32 ± 1.91 m/s; p = 0.016).</p>
        <p>These findings are in line with pathophysiological data showing that prolonged exposure to elevated blood pressure, particularly during the period, promotes stiffening of large arteries through increased wall stress and impaired vascular compliance [<xref ref-type="bibr" rid="B4">4</xref>]. Moreover, the higher ftPWV observed in hypertensive patients, especially in the presence of nocturnal hypertension, underscores the specific role of nocturnal hemodynamic load in vascular aging [<xref ref-type="bibr" rid="B12">12</xref>].</p>
        <p>Furthermore, the association between normal ftPWV and nocturnal diastolic hypertension (81.3% versus 51.1%; p = 0.025), as well as the higher frequency of a diastolic reverse-dipper profile among subjects with normal ftPWV (75.0% versus 25.0%; p = 0.035). These findings should be interpreted with caution. Indeed, they were not associated with a significant increase in mean digital toe pulse wave velocity (ftPWV) across the different diastolic dipping categories. This suggests that the observed results may reflect the effect of a small sample size, instability within the subgroups, or sensitivity to the categorization thresholds rather than a true pathophysiological relationship.</p>
        <p>These observations are consistent with previous studies showing that abnormalities in nocturnal dipping patterns constitute a marker of increased cardiovascular risk and subclinical vascular damage [<xref ref-type="bibr" rid="B13">13</xref>].</p>
      </sec>
      <sec id="sec4dot3">
        <title>4.3. Interaction of Cardiovascular Risk Factors in the Progression of Arterial Stiffness</title>
        <p>Our population exhibited a high accumulation of cardiovascular risk factors, with abdominal obesity being significantly more frequent in women than in men (89.66% versus 59.18%; p = 0.0001). In addition, normotensive subjects more frequently had a single cardiovascular risk factor compared with hypertensive patients (23.81% versus 4.65%; p = 0.013), confirming the role of cumulative risk factor burden in the progression of vascular aging.</p>
        <p>The literature indicates that obesity, diabetes, physical inactivity, and hypertension synergistically contribute to increased arterial stiffness through inflammatory, metabolic, and hemodynamic mechanisms [<xref ref-type="bibr" rid="B14">14</xref>]. In our study, the high prevalence of these factors, together with 28% of patients classified as high cardiovascular risk according to the Framingham score, supports the concept of arterial stiffness as an integrative marker of global cardiovascular risk.</p>
      </sec>
      <sec id="sec4dot4">
        <title>
          4.4. Clinical Relevance of the pOpmètre
          <sup>®</sup>
          in the African Context
        </title>
        <p>From a practical perspective, the assessment of arterial stiffness using ftPWV with the pOpmètre<sup>®</sup> proved to be feasible, rapid, and non-invasive in our clinical setting in Dakar, making it a relevant tool for the early detection of vascular aging in resource-limited environments. Validation studies have demonstrated a good correlation between digital-to-toe PWV and conventional measures of arterial stiffness, supporting its usefulness in both clinical practice and research [<xref ref-type="bibr" rid="B7">7</xref>].</p>
        <p>In an African context characterized by limited access to sophisticated vascular assessment techniques, the integration of ftPWV measurement alongside 24-hour ambulatory blood pressure monitoring (ABPM) could improve cardiovascular risk stratification and the early identification of high-risk patients.</p>
      </sec>
      <sec id="sec4dot5">
        <title>4.5. Study Limitations</title>
        <p>This study has some limitations, including its single-center design, relatively small sample size, and the specific socio-economic profile of the study population, which may limit the generalizability of the findings. In addition, the cross-sectional nature of the study does not allow causal relationships between arterial stiffness and blood pressure parameters to be established. Nevertheless, the consistency of our findings with international data strengthens their external validity.</p>
      </sec>
    </sec>
    <sec id="sec5">
      <title>5. Conclusion</title>
      <p>Our results show that arterial stiffness, assessed by ftPWV, is closely associated with age, hypertension, and particularly nocturnal blood pressure load, confirming its central role as a marker of vascular aging and global cardiovascular risk in an African outpatient population. These findings support the value of a combined approach using 24-hour ABPM and arterial stiffness assessment to optimize the management of hypertensive patients in sub-Saharan Africa.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="B1">
        <label>1.</label>
        <citation-alternatives>
          <mixed-citation publication-type="report">World Health Organization (2014) Global Status Report on Noncommunicable Diseases. WHO.</mixed-citation>
          <element-citation publication-type="report">
            <year>2014</year>
            <article-title>Global Status Report on Noncommunicable Diseases</article-title>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B2">
        <label>2.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Laurent, S., Cockcroft, J., Van Bortel, L., Boutouyrie, P., Giannattasio, C., Hayoz, D., <italic>et al</italic>. (2006) Expert Consensus Document on Arterial Stiffness: Methodological Issues and Clinical Applications. <italic>European</italic><italic>Heart</italic><italic>Journal</italic>, 27, 2588-2605. https://doi.org/10.1093/eurheartj/ehl254 <pub-id pub-id-type="doi">10.1093/eurheartj/ehl254</pub-id><pub-id pub-id-type="pmid">17000623</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1093/eurheartj/ehl254">https://doi.org/10.1093/eurheartj/ehl254</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Laurent, S.</string-name>
              <string-name>Cockcroft, J.</string-name>
              <string-name>Bortel, L.</string-name>
              <string-name>Boutouyrie, P.</string-name>
              <string-name>Giannattasio, C.</string-name>
              <string-name>Hayoz, D.</string-name>
            </person-group>
            <year>2006</year>
            <article-title>Expert Consensus Document on Arterial Stiffness: Methodological Issues and Clinical Applications</article-title>
            <source>European Heart Journal</source>
            <volume>27</volume>
            <pub-id pub-id-type="doi">10.1093/eurheartj/ehl254</pub-id>
            <pub-id pub-id-type="pmid">17000623</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B3">
        <label>3.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Vlachopoulos, C., Aznaouridis, K. and Stefanadis, C. (2010) Prediction of Cardiovascular Events and All-Cause Mortality with Arterial Stiffness: A Systematic Review and Meta-Analysis. <italic>Journal</italic><italic>of</italic><italic>the</italic><italic>American</italic><italic>College</italic><italic>of</italic><italic>Cardiology</italic>, 55, 1318-1327. https://doi.org/10.1016/j.jacc.2009.10.061 <pub-id pub-id-type="doi">10.1016/j.jacc.2009.10.061</pub-id><pub-id pub-id-type="pmid">20338492</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jacc.2009.10.061">https://doi.org/10.1016/j.jacc.2009.10.061</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Vlachopoulos, C.</string-name>
              <string-name>Aznaouridis, K.</string-name>
              <string-name>Stefanadis, C.</string-name>
            </person-group>
            <year>2010</year>
            <article-title>Prediction of Cardiovascular Events and All-Cause Mortality with Arterial Stiffness: A Systematic Review and Meta-Analysis</article-title>
            <source>Journal of the American College of Cardiology</source>
            <volume>55</volume>
            <pub-id pub-id-type="doi">10.1016/j.jacc.2009.10.061</pub-id>
            <pub-id pub-id-type="pmid">20338492</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B4">
        <label>4.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Ben-Shlomo, Y., Spears, M., Boustred, C., May, M., Anderson, S.G., Benjamin, E.J., <italic>et al</italic>. (2014) Aortic Pulse Wave Velocity Improves Cardiovascular Event Prediction. <italic>Circulation</italic>, 129, 673-682.</mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Ben-Shlomo, Y.</string-name>
              <string-name>Spears, M.</string-name>
              <string-name>Boustred, C.</string-name>
              <string-name>May, M.</string-name>
              <string-name>Anderson, S.G.</string-name>
              <string-name>Benjamin, E.J.</string-name>
            </person-group>
            <year>2014</year>
            <article-title>Aortic Pulse Wave Velocity Improves Cardiovascular Event Prediction</article-title>
            <source>Circulation</source>
            <volume>129</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B5">
        <label>5.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Safar, M.E., London, G.M. and Plante, G.E. (2004) Arterial Stiffness and Kidney Function. <italic>Hypertension</italic>, 43, 163-168. https://doi.org/10.1161/01.hyp.0000114571.75762.b0 <pub-id pub-id-type="doi">10.1161/01.hyp.0000114571.75762.b0</pub-id><pub-id pub-id-type="pmid">14732732</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1161/01.hyp.0000114571.75762.b0">https://doi.org/10.1161/01.hyp.0000114571.75762.b0</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Safar, M.E.</string-name>
              <string-name>London, G.M.</string-name>
              <string-name>Plante, G.E.</string-name>
            </person-group>
            <year>2004</year>
            <article-title>Arterial Stiffness and Kidney Function</article-title>
            <source>Hypertension</source>
            <volume>43</volume>
            <pub-id pub-id-type="doi">10.1161/01.hyp.0000114571.75762.b0</pub-id>
            <pub-id pub-id-type="pmid">14732732</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B6">
        <label>6.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Ataklte, F., Erqou, S., Kaptoge, S., Taye, B., Echouffo-Tcheugui, J.B. and Kengne, A.P. (2015) Burden of Undiagnosed Hypertension in Sub-Saharan Africa. <italic>Hypertension</italic>, 65, 291-298. https://doi.org/10.1161/hypertensionaha.114.04394 <pub-id pub-id-type="doi">10.1161/hypertensionaha.114.04394</pub-id><pub-id pub-id-type="pmid">25385758</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1161/hypertensionaha.114.04394">https://doi.org/10.1161/hypertensionaha.114.04394</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Ataklte, F.</string-name>
              <string-name>Erqou, S.</string-name>
              <string-name>Kaptoge, S.</string-name>
              <string-name>Taye, B.</string-name>
              <string-name>Echouffo-Tcheugui, J.B.</string-name>
              <string-name>Kengne, A.P.</string-name>
            </person-group>
            <year>2015</year>
            <article-title>Burden of Undiagnosed Hypertension in Sub-Saharan Africa</article-title>
            <source>Hypertension</source>
            <volume>65</volume>
            <pub-id pub-id-type="doi">10.1161/hypertensionaha.114.04394</pub-id>
            <pub-id pub-id-type="pmid">25385758</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B7">
        <label>7.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Salvi, P., Scalise, F., Rovina, M., Moretti, F., Grillo, A., Gao, L., <italic>et al</italic>. (2014) Noninvasive Estimation of Aortic Pulse Wave Velocity by Photoplethysmography: Validation of the Popmètre®. <italic>Hypertension Research</italic>, 37, 1-6.</mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Salvi, P.</string-name>
              <string-name>Scalise, F.</string-name>
              <string-name>Rovina, M.</string-name>
              <string-name>Moretti, F.</string-name>
              <string-name>Grillo, A.</string-name>
              <string-name>Gao, L.</string-name>
            </person-group>
            <year>2014</year>
            <article-title>Noninvasive Estimation of Aortic Pulse Wave Velocity by Photoplethysmography: Validation of the Popmètre®</article-title>
            <source>Hypertension Research</source>
            <volume>37</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B8">
        <label>8.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Dzudie, A., Rayner, B., Ojji, D., Schutte, A.E., Twagirumukiza, M., Damasceno, A., <italic>et al</italic>. (2018) Roadmap to Achieve 25% Hypertension Control in Africa by 2025. <italic>Global</italic><italic>Heart</italic>, 13, 45-59. https://doi.org/10.1016/j.gheart.2017.06.001 <pub-id pub-id-type="doi">10.1016/j.gheart.2017.06.001</pub-id><pub-id pub-id-type="pmid">29042191</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.gheart.2017.06.001">https://doi.org/10.1016/j.gheart.2017.06.001</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Dzudie, A.</string-name>
              <string-name>Rayner, B.</string-name>
              <string-name>Ojji, D.</string-name>
              <string-name>Schutte, A.E.</string-name>
              <string-name>Twagirumukiza, M.</string-name>
              <string-name>Damasceno, A.</string-name>
            </person-group>
            <year>2018</year>
            <article-title>Roadmap to Achieve 25% Hypertension Control in Africa by 2025</article-title>
            <source>Global Heart</source>
            <volume>13</volume>
            <pub-id pub-id-type="doi">10.1016/j.gheart.2017.06.001</pub-id>
            <pub-id pub-id-type="pmid">29042191</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B9">
        <label>9.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Laurent, S. and Boutouyrie, P. (2020) Arterial Stiffness and Hypertension in the Elderly. <italic>Frontiers</italic><italic>in</italic><italic>Cardiovascular</italic><italic>Medicine</italic>, 7, Article 544302. https://doi.org/10.3389/fcvm.2020.544302 <pub-id pub-id-type="doi">10.3389/fcvm.2020.544302</pub-id><pub-id pub-id-type="pmid">33330638</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcvm.2020.544302">https://doi.org/10.3389/fcvm.2020.544302</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Laurent, S.</string-name>
              <string-name>Boutouyrie, P.</string-name>
            </person-group>
            <year>2020</year>
            <article-title>Arterial Stiffness and Hypertension in the Elderly</article-title>
            <source>Frontiers in Cardiovascular Medicine</source>
            <volume>7</volume>
            <elocation-id>544302</elocation-id>
            <pub-id pub-id-type="doi">10.3389/fcvm.2020.544302</pub-id>
            <pub-id pub-id-type="pmid">33330638</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B10">
        <label>10.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Boutouyrie, P., Chowienczyk, P., Humphrey, J.D. and Mitchell, G.F. (2021) Arterial Stiffness and Cardiovascular Risk in Hypertension. <italic>Circulation</italic><italic>Research</italic>, 128, 864-886. https://doi.org/10.1161/circresaha.121.318061 <pub-id pub-id-type="doi">10.1161/circresaha.121.318061</pub-id><pub-id pub-id-type="pmid">33793325</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1161/circresaha.121.318061">https://doi.org/10.1161/circresaha.121.318061</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Boutouyrie, P.</string-name>
              <string-name>Chowienczyk, P.</string-name>
              <string-name>Humphrey, J.D.</string-name>
              <string-name>Mitchell, G.F.</string-name>
            </person-group>
            <year>2021</year>
            <article-title>Arterial Stiffness and Cardiovascular Risk in Hypertension</article-title>
            <source>Circulation Research</source>
            <volume>128</volume>
            <pub-id pub-id-type="doi">10.1161/circresaha.121.318061</pub-id>
            <pub-id pub-id-type="pmid">33793325</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B11">
        <label>11.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Kim, H., Ahn, D., Kim, S.H., Lee, D.S., Yoon, S.H., Zo, J., <italic>et al</italic>. (2021) Association between Body Fat Parameters and Arterial Stiffness. <italic>Scientific</italic><italic>Reports</italic>, 11, Article No. 20536. https://doi.org/10.1038/s41598-021-00175-z <pub-id pub-id-type="doi">10.1038/s41598-021-00175-z</pub-id><pub-id pub-id-type="pmid">34654852</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1038/s41598-021-00175-z">https://doi.org/10.1038/s41598-021-00175-z</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Kim, H.</string-name>
              <string-name>Ahn, D.</string-name>
              <string-name>Kim, S.H.</string-name>
              <string-name>Lee, D.S.</string-name>
              <string-name>Yoon, S.H.</string-name>
              <string-name>Zo, J.</string-name>
            </person-group>
            <year>2021</year>
            <article-title>Association between Body Fat Parameters and Arterial Stiffness</article-title>
            <source>Scientific Reports</source>
            <volume>11</volume>
            <elocation-id>No</elocation-id>
            <pub-id pub-id-type="doi">10.1038/s41598-021-00175-z</pub-id>
            <pub-id pub-id-type="pmid">34654852</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B12">
        <label>12.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Di Raimondo, D., Musiari, G., Casuccio, A., Colomba, D., Rizzo, G., Pirera, E., <italic>et al</italic>. (2021) Cardiac Remodeling According to the Nocturnal Fall of Blood Pressure in Hypertensive Subjects: The Whole Assessment of Cardiac Abnormalities in Non-Dipper Subjects with Arterial Hypertension (WACANDA) Study. <italic>Journal</italic><italic>of</italic><italic>Personalized</italic><italic>Medicine</italic>, 11, Article 1371. https://doi.org/10.3390/jpm11121371 <pub-id pub-id-type="doi">10.3390/jpm11121371</pub-id><pub-id pub-id-type="pmid">34945843</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/jpm11121371">https://doi.org/10.3390/jpm11121371</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Raimondo, D.</string-name>
              <string-name>Musiari, G.</string-name>
              <string-name>Casuccio, A.</string-name>
              <string-name>Colomba, D.</string-name>
              <string-name>Rizzo, G.</string-name>
              <string-name>Pirera, E.</string-name>
            </person-group>
            <year>2021</year>
            <article-title>Cardiac Remodeling According to the Nocturnal Fall of Blood Pressure in Hypertensive Subjects: The Whole Assessment of Cardiac Abnormalities in Non-Dipper Subjects with Arterial Hypertension (WACANDA) Study</article-title>
            <source>Journal of Personalized Medicine</source>
            <volume>11</volume>
            <elocation-id>1371</elocation-id>
            <pub-id pub-id-type="doi">10.3390/jpm11121371</pub-id>
            <pub-id pub-id-type="pmid">34945843</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B13">
        <label>13.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">O’Brien, E., Sheridan, J. and O’Malley, K. (1988) Dippers and Non-Dippers. <italic>The</italic><italic>Lancet</italic>, 332, 397. https://doi.org/10.1016/s0140-6736(88)92867-x <pub-id pub-id-type="doi">10.1016/s0140-6736(88)92867-x</pub-id><pub-id pub-id-type="pmid">2899801</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/s0140-6736(88)92867-x">https://doi.org/10.1016/s0140-6736(88)92867-x</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Brien, E.</string-name>
              <string-name>Sheridan, J.</string-name>
              <string-name>Malley, K.</string-name>
            </person-group>
            <year>1988</year>
            <article-title>Dippers and Non-Dippers</article-title>
            <source>The Lancet</source>
            <volume>6736</volume>
            <issue>88</issue>
            <pub-id pub-id-type="doi">10.1016/s0140-6736(88)92867-x</pub-id>
            <pub-id pub-id-type="pmid">2899801</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B14">
        <label>14.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Cecelja, M. and Chowienczyk, P. (2012) Role of Arterial Stiffness in Cardiovascular Disease. <italic>JRSM</italic><italic>Cardiovascular</italic><italic>Disease</italic>, 1, 1-10. https://doi.org/10.1258/cvd.2012.012016 <pub-id pub-id-type="doi">10.1258/cvd.2012.012016</pub-id><pub-id pub-id-type="pmid">24175067</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1258/cvd.2012.012016">https://doi.org/10.1258/cvd.2012.012016</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Cecelja, M.</string-name>
              <string-name>Chowienczyk, P.</string-name>
            </person-group>
            <year>2012</year>
            <article-title>Role of Arterial Stiffness in Cardiovascular Disease</article-title>
            <source>JRSM Cardiovascular Disease</source>
            <volume>1</volume>
            <pub-id pub-id-type="doi">10.1258/cvd.2012.012016</pub-id>
            <pub-id pub-id-type="pmid">24175067</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
    </ref-list>
  </back>
</article>