<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">Health</journal-id><journal-title-group><journal-title>Health</journal-title></journal-title-group><issn pub-type="epub">1949-4998</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/health.2017.94052</article-id><article-id pub-id-type="publisher-id">Health-75947</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Prevalence of Hypertension and Associated Factors in Patients Living with HIV Followed at the Ambulatory Treatment Center (CTA) of Fann National University Hospital in Dakar
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ndeye</surname><given-names>Fatou Ngom Gueye</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Daye</surname><given-names>Ka</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alioune</surname><given-names>Badara Tall</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kine</surname><given-names>Ndiaye</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdoul</surname><given-names>Aziz Ndiaye</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Viviane</surname><given-names>Marie Pierre Cisse</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Aissata</surname><given-names>Guindo</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ndeye</surname><given-names>Méry Dia Badiane</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sylvie</surname><given-names>Audrey Diop</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Noel</surname><given-names>Magloire Manga</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cheikh</surname><given-names>Tidiane Ndour</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Moussa</surname><given-names>Seydi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Community Health, Alioune Diop University, Bambey, Senegal</addr-line></aff><aff id="aff2"><addr-line>Department of Infectious Diseases, Fann University Teaching Hospital, Dakar, Senegal</addr-line></aff><aff id="aff1"><addr-line>Ambulatory Treatment Center, Fann University Teaching Hospital, Dakar, Senegal</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>ndeyetouti98@gmail.com(NFNG)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>07</day><month>04</month><year>2017</year></pub-date><volume>09</volume><issue>04</issue><fpage>727</fpage><lpage>737</lpage><history><date date-type="received"><day>January</day>	<month>3,</month>	<year>2017</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>April</month>	<year>27,</year>	</date><date date-type="accepted"><day>April</day>	<month>30,</month>	<year>2017</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   
   Introduction: The efficacy of antiretroviral therapy in people living with HIV (PLHIV) has been associated with an important increase in metabolic disorders, such as hypertension (HTA). This work allowed us to estimate the prevalence of hypertension in PLHIV and to describe associated factors. 
   Methods: A retrospective, descriptive and analytical study was carried out based on the records of people living with HIV followed at the Ambulatory Treatment Center (CTA), from January 1
   <sup>st</sup> 1998 to 31
   <sup>st</sup>, December 2014. The WHO criteria were used to diagnose hypertension. Data entry was performed using ESOPE software and data analysis was done using Epi Info software version 3.5.3. A multiple logistic regression was used to identify the risk factors associated with hypertension. 
   Results: During the study period, 3624 patients followed at CTA were included of which 1184 patients (32.7%) had hypertension. The average age was 47. 3 years &#177;10.5 years, with a sex ratio of 0.7. The most common opportunistic infections at diagnosis were tuberculosis (14.9%) and oral candidiasis (15.3%). The HIV infection was advanced (stage 3 or 4 of WHO classification) for 39% of cases. Overweight and obesity was found in 19.1%. Only 17.6% were treated by protease inhibitors. Higher average age (OR:1,05; IC [1.04 - 1.05], p = 0.000001), higher average BMI (OR:5,3; IC [3.3 - 8.5], p = 0.00001), WHO clinical stage I-II (OR:1,4; IC [1.2 - 1.6], p = 0.00003), and ARV treatment (OR:2,5; IC [1.7 - 3.7], p = 0.000001) are associated with the occurrence of hypertension. 
   Conclusion: The prevalence of hypertension was high among PLHIV and associated factors were: advanced age, high BMI, WHO clinical stages I and II and antiretroviral therapy. Hence, the interest of a systematic screening of hypertension and others cardiovascular risk factors particularly in patients under ARV antiretroviral therapy. 
  
 
</p></abstract><kwd-group><kwd>Hypertension (HTA)</kwd><kwd> HIV Infection</kwd><kwd> Senegal</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Hypertension is a major public health problem [<xref ref-type="bibr" rid="scirp.75947-ref1">1</xref>] . His prevalence is currently estimated by WHO at 26.4% of adults’ population in the world and 29.2% are expected to be so by 2025. This represents a population of nearly 1.6 billion people [<xref ref-type="bibr" rid="scirp.75947-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.75947-ref3">3</xref>] . The high prevalence of hypertension in the world is also related to the progressive aging of the population, especially in Western countries, but also to the global trend of overweight and obesity in developing countries [<xref ref-type="bibr" rid="scirp.75947-ref2">2</xref>] . Hypertension is one of the major risk factors for cardiovascular mortality and morbidity, particularly in PLHIV. Few studies with discordant results have addressed the relationship between hypertension, HIV infection, and antiretroviral therapy. Some studies agree that the incidence of hypertension increases after the second year on highly active antiretroviral therapy introduction. They directly incriminate the side effects of ARV treatment-insulin resistance, lipodystrophies in the genesis of hypertension [<xref ref-type="bibr" rid="scirp.75947-ref4">4</xref>] . The later studies have concluded that there may not be any argument for a specific hypertensive and independent effect of treatment (Protease Inhibitor (PI) especially) due to the frequent presence of other cardiovascular risk factors including age, sex, BMI, smoking, dyslipidemia.</p><p>The prevalence of hypertension in HIV-infected individuals in industrialized countries ranges from 5.2% to 34.2% and is associated with antiretroviral treatment [<xref ref-type="bibr" rid="scirp.75947-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.75947-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.75947-ref6">6</xref>] .</p><p>Many factors can explain this situation. The increase in life expectancy and the aging of people live with HIV with the generalization of the antiretroviral treatment. This situation is accompanied by an increase in the duration of exposure to cumulative risk factors such as metabolic abnormalities and smoking [<xref ref-type="bibr" rid="scirp.75947-ref7">7</xref>] . Some cardiovascular risk factors are sides effects of antiretroviral treatment. Most PIs increase plasma lipid levels especially hypertriglyceridaemia and hypercholesterolemia. Non Nucleosidique Inhibitor of Reverse Transcriptase (NNIRTs) appears to increase HDL, especially Nevirapine. [<xref ref-type="bibr" rid="scirp.75947-ref7">7</xref>]</p><p>Diabetes is more common in patients on antiretroviral and caused by insulin resistance syndrome, in which lipodystrophy plays an important role mainly for patients [<xref ref-type="bibr" rid="scirp.75947-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.75947-ref9">9</xref>] .</p><p>In Senegal, triple therapy has been accessible and free since 2003, but few studies have been conducted out on cardiovascular risk factors and particularly on hypertension in people living with HIV [<xref ref-type="bibr" rid="scirp.75947-ref6">6</xref>] . The objectives of this study were to determine the prevalence and the factors associated with the occurrence of hypertension in patients living with HIV followed at the Ambulatory Treatment Center (CTA) in Fann.</p></sec><sec id="s2"><title>2. Patients and Method</title><sec id="s2_1"><title>2.1. Study Framework</title><p>The study was conducted at the Ambulatory Treatment Center (CTA), which is a national reference center for ambulatory follow-up of patients living with HIV (PLHIV).</p></sec><sec id="s2_2"><title>2.2. Type of Study</title><p>This was a retrospective descriptive and analytical study carried out on the basis of patient records treated as outpatients at the Fann CHNU in Dakar. This study was carried out from 1<sup>st</sup> January 1998 to 31<sup>st</sup> December 2014.</p></sec><sec id="s2_3"><title>2.3. Sampling</title><p>This study was conducted based on a complete sampling of all patients followed during the study period.</p></sec><sec id="s2_4"><title>2.4. Case Definition</title><p>We referred to international standards for the diagnosis of hypertension. Patients were considered as hypertensive if their systolic blood pressure(SBP) was ≥ 140 mmHg and/or their diastolic blood pressure(DBP) ≥90 mmHg at three consecutive measurements separated by one to two weeks or if they were known to be hypertensive and were treated for it.</p></sec><sec id="s2_5"><title>2.5. Inclusion Criteria</title><p>We included all patients who met the following criteria: Patients with confirmed HIV infection, who were at least 18 years old, hypertensive or not on ARV treatment or not.</p></sec><sec id="s2_6"><title>2.6. Description of the Survey Form</title><p>All the collected variables are from the data extracted from the “ESOPE” database, which is software dedicated to the monitoring of PLHIV.</p><p>・ Socio-demographic, clinical and biological characteristics are collected:</p><p>Age, sex, occupation, geographical origin, marital status, Hb, glycaemia, triglycerides, creatinine, CD4 count, viral load, WHO stage, opportunistic infections, ARV treatment, antihypertensive therapy...</p><p>・ Constraints and limitations of the study:</p><p>This work was made difficult due to its retrospective character. Records were not always complete and blood pressure taking conditions were not specified. Some factors associated with hypertension were not been reported: lipodystrophy, fasting glucose, lipid balance, antiretroviral protocol and other personal or family cardiovascular risk factors (cardiovascular accident, smoking, diabetes ...). Some missing data were also observed.</p></sec><sec id="s2_7"><title>2.7. Software Used for Data Capture, Retrieval and Analysis</title><p>Data were entered using ESOPE software version 5.0. “ESOPE” is computer-based personalized software dedicated to the monitoring of PLHIV.</p><p>We extracted data from this database for the study period from January 2014 to December 2014. These data were exported to Excel and supplemented for some missing variables from file sources (A2, Os, TARV record book). Epi Info software version 3.5.3 was used for data analysis. Averages were compared using Student test and the Exact Fischer test, percentages, the Chi&#178; test, according to their conditions of applicability.</p><p>A value of p &lt; 0.05 was considered significant.</p><p>Multiple logistic regression was used to identify the risk factors associated with hypertension, and give information about confounders.</p></sec><sec id="s2_8"><title>2.8. Ethical Aspects</title><p>The study was performed on anonymous files. The identity and address of patients will remain confidential and will not be subject to any publication. We obtain patients verbal consents before inclusion in the program</p></sec></sec><sec id="s3"><title>3. Results</title><p>Of the 3624 records of patients followed at CTA in Fann and included during the study period, 1184 cases of hypertension were recorded, which represents a prevalence of 32.7%.</p><sec id="s3_1"><title>3.1. Characteristics of Patients with Hypertension (<xref ref-type="table" rid="table1">Table 1</xref>)</title><sec id="s3_1_1"><title>3.1.1. Epidemiological Characteristics</title><p>The average age of the population in the study was 47, 3 years &#177; 10.5 years. The median was 47 years [20 years - 82 years]. The predominant age groups were 40 - 49 years (36.23%) and 50 - 59 years (25.1%).</p><p>Females accounted for 58.8% of the cases and the sex ratio was 0.7. Patients were mostly from Dakar (87%). Unemployment rate was 27.7%. Among the workers, those in the informal sector were the majority and accounted for 60.81% .Patients married regimens were the majority (56.33%), followed by widowed (16.38%) and singles (15.20%).</p></sec><sec id="s3_1_2"><title>3.1.2. Clinical Features</title><p>The majority of patients have had a history of opportunistic infections (61.8%), or sexually transmitted infections (STIs) (14.9%).</p><p>Prurigo and oral candidiasis were the most frequent (15.3%), followed by tuberculosis (14.9%).</p><p>Most of patients had normal BMI (53.3%) or underweight (26.3%).</p><p>Stages II and III of WHO were mostly represented with 42.5% and 31.8% of cases respectively.</p></sec><sec id="s3_1_3"><title>3.1.3. Biological Characteristics</title><p>HIV-1 was by far the dominant serological profile (87.6%).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio-demographic, clinical and biological characteristics of patients with hypertension</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle"  colspan="2"  >Percentage % (n)</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Age group (years) n = 1181</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >15 - 29 years</td><td align="center" valign="middle"  colspan="2"  >4.47 (53)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >30 - 39 years</td><td align="center" valign="middle"  colspan="2"  >22.38 (265)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >40 - 49 years</td><td align="center" valign="middle"  colspan="2"  >36.23 (429)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;50 years .</td><td align="center" valign="middle"  colspan="2"  >36.65 (434) 0.25 (3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle"  colspan="2"  >58.78 (696)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle"  colspan="2"  >40.96 (485)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >. 0.25 (3) Professional Status n=1175</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Jobless</td><td align="center" valign="middle"  colspan="2"  >27.7 (328)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Informal sector</td><td align="center" valign="middle"  colspan="2"  >60.81 (720)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Formal Sector</td><td align="center" valign="middle"  colspan="2"  >10.72 (127)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >. 0.76 (9) Geographic origin</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Dakar</td><td align="center" valign="middle"  colspan="2"  >86.99</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Other regions</td><td align="center" valign="middle"  colspan="2"  >12.75</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >. 0.25 (3) Marital status n=1169</td><td align="center" valign="middle"  colspan="3"  ></td></tr><tr><td align="center" valign="middle" >In a relationship</td><td align="center" valign="middle"  colspan="2"  >56.33 (667)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle"  colspan="2"  >10.81 (128)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Widowed</td><td align="center" valign="middle"  colspan="2"  >16.38 (194)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle"  colspan="2"  >15.20 (180)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >. 1.26 (15) VIH Type n = 1184</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >VIH1</td><td align="center" valign="middle"  colspan="2"  >87.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >VIH2</td><td align="center" valign="middle"  colspan="2"  >9.8</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >VIH1+2</td><td align="center" valign="middle"  colspan="2"  >2.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >BMI</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;18.5</td><td align="center" valign="middle"  colspan="2"  >26.35</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[18.5 - 24.9]</td><td align="center" valign="middle"  colspan="2"  >53.26</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥25</td><td align="center" valign="middle"  colspan="2"  >20.38</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >WHO stage</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Stage I</td><td align="center" valign="middle"  colspan="2"  >18.86</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Stage II</td><td align="center" valign="middle"  colspan="2"  >42.49</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Stage III</td><td align="center" valign="middle"  colspan="2"  >31.83</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Stage IV</td><td align="center" valign="middle"  colspan="2"  >6.83</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >CD4 count</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >500/mm<sup>3</sup></td><td align="center" valign="middle"  colspan="2"  >14.01</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >350 et 499/mm<sup>3</sup></td><td align="center" valign="middle"  colspan="2"  >12.94</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >200 et 349/mm<sup>3</sup></td><td align="center" valign="middle"  colspan="2"  >25.78</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;200/mm<sup>3</sup></td><td align="center" valign="middle"  colspan="2"  >47.27</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Treatment regimen</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >IP</td><td align="center" valign="middle"  colspan="2"  >17.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >INNRT</td><td align="center" valign="middle"  colspan="2"  >82.4</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>The average CD4 count was 266 &#177; 237 cells/mm<sup>3</sup>. The median was 214 cells/mm<sup>3</sup> with extremes of 1 and 1718 cells/mm<sup>3</sup>. The majority of patients had a CD4 count &lt;100 cells/mm<sup>3</sup> (27.9%), followed by those with CD4 count between 200 and 349/mm<sup>3</sup> (25.78%).</p></sec><sec id="s3_1_4"><title>3.1.4. Therapeutic Features</title><p>Of the 1184 hypertensive patients, 706 were on ARV therapy. 17.6% of them were under IP compared with 82.4% under INNRT.</p></sec></sec><sec id="s3_2"><title>3.2. Associated Factors with Hypertension and ART</title><p>No significant difference was found between hypertensive PLHIV under ARV and those who are ARV-na&#239;ve; with regard to age, sex, and marital status.</p><p>Of the non-treated hypertensive patients, 5.6% were overweight compared to 4.8% in treated hypertensive patients.</p><p>Among patients with hypertensive ARV, 59.5% had CD4 counts below 200 / mm<sup>3</sup> compared to 26.9% only in non-treated patients, with a very significant difference (p &lt; 0.001) (<xref ref-type="table" rid="table2">Table 2</xref>)</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Associated factors with hypertension and ART</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >HTA+ on ARV</th><th align="center" valign="middle" >HTA+ without ARV</th><th align="center" valign="middle" >0R [IC]</th><th align="center" valign="middle" >P value</th></tr></thead><tr><td align="center" valign="middle" >Median age (year)</td><td align="center" valign="middle" >47.5</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.41</td></tr><tr><td align="center" valign="middle" >Sex (%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >59.9</td><td align="center" valign="middle" >55.9</td><td align="center" valign="middle" >0.8 [0.7 - 1.1]</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >40.1</td><td align="center" valign="middle" >40.1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Marital status (%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >45.7</td><td align="center" valign="middle" >40.6</td><td align="center" valign="middle" >0.8[0.6 - 1]</td><td align="center" valign="middle" >0.08</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >59.4</td><td align="center" valign="middle" >54.2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >CD4 (/mm<sup>3</sup>)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;200</td><td align="center" valign="middle" >59.5</td><td align="center" valign="middle" >26.9</td><td align="center" valign="middle" >0.1[0.07 - 0.2]</td><td align="center" valign="middle" >10<sup>−10</sup></td></tr><tr><td align="center" valign="middle" >[200 - 499]</td><td align="center" valign="middle" >35.7</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥500</td><td align="center" valign="middle" >4.7</td><td align="center" valign="middle" >30.1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Comparison between Hypertensive and Non-Hypertensive PLHIV (<xref ref-type="table" rid="table3">Table 3</xref>)</title><p>Compared to non-hypertensive PLHIV, Hypertensive cases had significantly:</p><p>- A higher average of age (47.3 years versus 43.3 years), with p &lt; 0.001.</p><p>- A higher average of BMI (p &lt; 0.001)</p><p>- A stages I and II of WHO (p &lt; 0.001)</p><p>- An antiretroviral therapy (p &lt; 0.001)</p><p>No difference was noted for the sex, the serotype and the type of ARV.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Associated factors with hypertension among HIV infected patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >HTA+</th><th align="center" valign="middle" >HTA−</th><th align="center" valign="middle" >0R [IC]</th><th align="center" valign="middle" >Value of p</th></tr></thead><tr><td align="center" valign="middle" >Average age (years)</td><td align="center" valign="middle" >47.3</td><td align="center" valign="middle" >43.3</td><td align="center" valign="middle" >1.05 [1.04 - 1.05]</td><td align="center" valign="middle" >10<sup>−6</sup></td></tr><tr><td align="center" valign="middle" >Sex (%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >58.3</td><td align="center" valign="middle" >56.8</td><td align="center" valign="middle" >0.8 [0. 7- 0.9]</td><td align="center" valign="middle" >0.4</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >41.7</td><td align="center" valign="middle" >43.2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Average BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" >21.6</td><td align="center" valign="middle" >19.3</td><td align="center" valign="middle" >5.3 [3.3 - 8.5]</td><td align="center" valign="middle" >10 <sup>-5</sup></td></tr><tr><td align="center" valign="middle" >WHO stage (%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >I-II</td><td align="center" valign="middle" >60.7</td><td align="center" valign="middle" >53.4</td><td align="center" valign="middle" >1.4[1.2 - 1.4]</td><td align="center" valign="middle" >0.00003</td></tr><tr><td align="center" valign="middle" >III-IV</td><td align="center" valign="middle" >39.3</td><td align="center" valign="middle" >46.6</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Serotype (%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HIV-1</td><td align="center" valign="middle" >86.2</td><td align="center" valign="middle" >87.9</td><td align="center" valign="middle" >0.9[0.7 - 1.1]</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle" >HIV 2+/−1</td><td align="center" valign="middle" >13.8</td><td align="center" valign="middle" >12.1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >ARV Rate (%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >59.6</td><td align="center" valign="middle" >36.6</td><td align="center" valign="middle" >2.5 [1.7 - 3.7]</td><td align="center" valign="middle" >10<sup>−6</sup></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >40.4</td><td align="center" valign="middle" >63.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >ARV plan (%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >INNUC</td><td align="center" valign="middle" >90.9</td><td align="center" valign="middle" >92.9</td><td align="center" valign="middle" >0.9[0.6 - 1.4]</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle" >IP</td><td align="center" valign="middle" >9.1</td><td align="center" valign="middle" >7.1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Deaths (%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >10.6</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >0.6[0.5 - 0.8]</td><td align="center" valign="middle" >10<sup>−6</sup></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >89.4</td><td align="center" valign="middle" >85.9</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></sec></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Epidemiological Aspects</title><p>The prevalence of hypertension in the cohort was 32.7%. This prevalence is higher than those described in others cohort studies such as DAD multicentric study (23.8%) [<xref ref-type="bibr" rid="scirp.75947-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.75947-ref11">11</xref>] and especially APROCCO [<xref ref-type="bibr" rid="scirp.75947-ref9">9</xref>] in France (5.2%). The prevalence of hypertension in HIV-infected individuals in industrialized countries ranges from 5.2% to 34.2% [<xref ref-type="bibr" rid="scirp.75947-ref4">4</xref>] . This prevalence is likely to be overestimated due to the lack of rigorous adherence to optimal conditions for PI in patients. However, a recent Senegalese study observed 28.1% of hypertensive patients [<xref ref-type="bibr" rid="scirp.75947-ref12">12</xref>] . This difference can be explained by the higher average age in our study.</p><p>We found a prevalence of 36.6% in the group of patients without ARV treatment and 59.6% in patients with ARV. In a previous study in Senegal, this difference was 21% vs 34.7% [<xref ref-type="bibr" rid="scirp.75947-ref12">12</xref>] . A Norwegian study also found a difference between the two groups, with 13% of hypertension in ARV na&#239;ve patients compared to 21% in ARV patients [<xref ref-type="bibr" rid="scirp.75947-ref4">4</xref>] . ARV therapy would be a factor favoring the occurrence of hypertension in PLHIV.</p><p>The average age of our population was 47 years and the majority of cases were above 40 years (73%). This average age is similar to that observed by DIOUF Assane et al. [<xref ref-type="bibr" rid="scirp.75947-ref13">13</xref>] . Our study population belongs to one of the oldest PLHIV cohorts in Senegal. This high age average reflects the fact that the population of PLHIV followed in our cohort is getting older. Patients infected with HIV also have early aging with an advance of 10 - 15 years compared to their biological age.</p><p>Female predominance (58.8%) noted in our study was not observed in other studies of cardiovascular risk factors in people living with HIV. A study conducted by Bergersen et al. [<xref ref-type="bibr" rid="scirp.75947-ref5">5</xref>] in Norway highlighted a male predominance in treated patients (81%) or untreated patients 77%. This difference is due to the predominance transmission through homosexual sex relation in these countries, whereas heterosexual transmission is more frequent in Senegal. Female predominance is usually noted in studies in Africa [<xref ref-type="bibr" rid="scirp.75947-ref14">14</xref>] . The fact that vulnerability is mostly anatomical, biological and above all socio-cultural in our regions, explain these results.</p></sec><sec id="s4_2"><title>4.2. Clinical Aspects</title><p>The associated cardiovascular risk factor confirmed in our patients was diabetes (1.7%). This prevalence is comparable with the results of other cohorts of PLHIV who had 2% diabetes in Senegal and Norway [<xref ref-type="bibr" rid="scirp.75947-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.75947-ref6">6</xref>] .</p><p>In our baseline study, 6.4% had a BMI &gt; 30. In the DAD study, the prevalence of obesity (5.2%) was close to ours. Indeed, the conditions for putting under ARV are all the earlier as the immune deficiency is severe and the cachectic syndrome ranked at WHO stage IV. It would have been more interesting to benefit from the BMI at the time of diagnosis of hypertension.</p></sec><sec id="s4_3"><title>4.3. Paraclinical Aspects</title><p>The most frequent serological profile in our patients was HIV-1 (87.6%) and the difference was not significant compared to non-hypertensive patients. This serotype predominates in studies carried out in Senegal [<xref ref-type="bibr" rid="scirp.75947-ref13">13</xref>] . Nevertheless, hypertension was more frequent in patients with a double profile or in patients with HIV-2 LEYE AW F found a higher Framingham score for HIV-2 [<xref ref-type="bibr" rid="scirp.75947-ref6">6</xref>] . This increase in cardiovascular risk is related to the fact that these patients infected with HIV-2 were in most cases under IP.</p></sec><sec id="s4_4"><title>4.4. Therapeutic and Evolutionary Aspects</title><p>We have noticed that antiretroviral therapy was associated with a significantly higher frequency of hypertension with an OR = 2.5. This observation was also made in other studies such as the “multicenter AIDS cohort study” which found a risk of developing hypertension with an OR = 1.7. Such a risk occurs from the second year of exposure to ARV. A variant of the DAD study also found 6.1% hypertension in na&#239;ve subjects versus 10.1% in treated patients. [<xref ref-type="bibr" rid="scirp.75947-ref4">4</xref>]</p><p>Hypertensive patients under PI (9.1%) are more numerous than hypertensive patients with NNRTI (7.1%) with no statistically significant difference (p = 0.1). The responsibility for anti-protease inhibitors in the occurrence of hypertension is essential and remains a shared question. These molecules (especially lopinavir, ritonavir) increase plasma lipid levels (total cholesterol, LDL cholesterol, triglycerides), with the remarkable exception of saquinavir and atazanavir [<xref ref-type="bibr" rid="scirp.75947-ref7">7</xref>] . Indinavir is the anti-protease most commonly associated with hypertension. A study found that the prevalence of HTA was 29% in patients treated with indinavir against none of the patients treated with nelfinavir, saquinavir, ritonavir [<xref ref-type="bibr" rid="scirp.75947-ref15">15</xref>]</p><p>However, the HOPS study (HIV Outpatient Study) confirmed a very significant association between cardiovascular events and PI treatment with OR = 4.9 [95% CI: 1.2 - 32.3] in 5672 patients. This was attenuated after adjustment to traditional risk factors (age, sex, hypertension, tobacco, diabetes, dyslipidemia), suggesting that NPs had no independent effect on cardiovascular risk. Likewise, the Kaiser Permanente Study retrospectively analyzed the rate of hospitalizations for coronary artery disease in HIV+ and HIV-treated patients. The rate of hospitalizations was higher in HIV infected than in HIV negative (6.5 vs 3.8/1000 patient-years, p &lt; 0.01), but within HIV+ it was identical in the treated and untreated patients [<xref ref-type="bibr" rid="scirp.75947-ref7">7</xref>] . LEYE AW F [<xref ref-type="bibr" rid="scirp.75947-ref6">6</xref>] found fewer hypertensive patients under PI (21.4% versus 28.2% without PI).</p><p>The lethality was significantly lower in the hypertensive group (10.6%) compared to the control groups (14%) with p &lt; 0.001. The leading causes of death were mostly due to frequent opportunistic infections in stages III-IV, which predominated in non-hypertensive subjects. Moreover, malnutrition, which is an important factor of death in PLHIV, was more prevalent among non-hyper- tensive subjects in our cohort.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>The widespread availability of antiretroviral in low-income countries has resulted in the improvement of life quality and life expectancy among people living with HIV (PLHIV). However, numerous studies have highlighted the occurrence of cardiovascular risk factors related to antiretroviral therapy, mainly based on PI. The highest frequency of cardiovascular disease risk, particularly myocardial infarction in HIV-infected patients treated with antiretroviral; compared to HIV-positive patients under ARV and the non-infected population, has been established. Dyslipidemia due to antiretroviral therapy, behavioral factors (smoking) and specific effects associated with HIV infection are said to be the mostly implicated risk factors.</p></sec><sec id="s6"><title>Declaration of Absence of Conflict of Interest</title><p>The authors report no conflict of interest.</p></sec><sec id="s7"><title>Authors’ Contributions</title><p>NGOM GUEYE Ndeye Fatou, Aissata GUINDO, Noel Magloire Manga design, data collection, statistical analysis and manuscript review. Other authors: design and manuscript review. All the authors have read and approved the final version of the manuscript.</p></sec><sec id="s8"><title>Acknowledgements</title><p>We thank all the patients and staff who participated in the study.</p></sec><sec id="s9"><title>Cite this paper</title><p>Gueye, N.F.N., Ka, D., Tall, A.B., Ndiaye, K., Ndiaye, A.A., Cisse, V.M.P., Guindo, A., Badiane, N.M.D., Diop, S.A., Manga, N.M., Ndour, C.T. and Seydi, M. (2017) Prevalence of Hypertension and Associated Factors in Patients Living with HIV Followed at the Ambulatory Treatment Center (CTA) of Fann National University Hospital in Dakar. Health, 9, 727- 737. https://doi.org/10.4236/health.2017.94052</p></sec></body><back><ref-list><title>References</title><ref id="scirp.75947-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">ONUSIDA (2012) Le point sur l’épidémie. Rapport ONUSIDA sur l’épidémie mondiale de SIDA en 2012. http://www.unaids.org/en/media/unai</mixed-citation></ref><ref id="scirp.75947-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Kramoh, E.K., N’Goran, Y.N.K., Akie-Trabousi, E., et al. (2011) Hypertension Management in an Outpatient Clinic at the Institute of Cardiology of Abidjan (Ivory Coast). 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