<?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">WJCD</journal-id><journal-title-group><journal-title>World Journal of Cardiovascular Diseases</journal-title></journal-title-group><issn pub-type="epub">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.2018.86028</article-id><article-id pub-id-type="publisher-id">WJCD-85244</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Hypertension in Clinical Practice: Control Rate in Short Term and Associated Factors in the Cardiology Department of the University Hospital Gabriel Tour&#233; (UH-GT) in Bamako (Mali)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hamidou</surname><given-names>Oumar Bâ</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>Ichaka</surname><given-names>Menta</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>Ibrahima</surname><given-names>Sangare</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>Youssouf</surname><given-names>Camara</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>Noumou</surname><given-names>Sidibe</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>Souleymane</surname><given-names>Coulibaly</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>Djénébou</surname><given-names>Traoré</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Réné</surname><given-names>Dakouo</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>Samba</surname><given-names>Samaké</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>Aladji</surname><given-names>Traoré</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>Samba</surname><given-names>Sidibé</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>Mamadou</surname><given-names>Cissouma</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>Cheick</surname><given-names>Hamala Fofana</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>Lamine</surname><given-names>Sidibe</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>Kassoum</surname><given-names>Mamourou Sanogo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>University Hospital Point G, Bamako, Mali</addr-line></aff><aff id="aff1"><addr-line>University Hospital Gabriel Touré, Bamako, Mali</addr-line></aff><aff id="aff4"><addr-line>University Hospital of Mali, Bamako, Mali</addr-line></aff><aff id="aff2"><addr-line>University Hospital Kati, Kati, Mali</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>bhamiba@yahoo.fr(HOB)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>11</day><month>06</month><year>2018</year></pub-date><volume>08</volume><issue>06</issue><fpage>288</fpage><lpage>297</lpage><history><date date-type="received"><day>4,</day>	<month>May</month>	<year>2018</year></date><date date-type="rev-recd"><day>10,</day>	<month>June</month>	<year>2018</year>	</date><date date-type="accepted"><day>13,</day>	<month>June</month>	<year>2018</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
  <b>:</b>
   Hypertension (HTN) is for many decades a worldwide major risk factor for cardiovascular disease.
  
  However, hypertension control rates are globally low in the world.
   
  Studies on observance have been published in Mali but there is to our knowledge no published data about HTN control rate. We therefore conducted this study to assess the control rate in short term after 3 months management and to look for factors associated with HTN control.<b> Materials and Methods</b>
  <b>:</b>
   This study designed as prospective was conducted in the cardiology department of the University Hospital Gabriel Tour&#233; (UH-GT) from March 24 to September 24
  ,
   2017. All outpatients aged 18 years and more who came for visit and with hypertension as diagnose were involved. All patients have consented to participate in the study. Sociodemographic and data on physical examination including measures for BP, height, weight, waist circumference (WC) and direct costs as reported by the patients were recorded. Patients were asked about medication discontinuation and if yes why and then they were informed about the need to take regularly medication. The concept of chronic disease was explained to them. A formulary served to collect data that were inserted into a Microsoft Access database and analyzed using SPSS version 18. After describing of sociodemographics and continuous variables, crosstabs and finally a logistic regression was performed to look for blood pressure control predictors
  .
  <b> Results</b>
  <b>:</b>
   There was no statistical difference in sociodemographics between older and newly diagnosed patients. At 3 months globally 40.90% (31.1 for old
   
  Patients and 09.8% for new
  
  Patients) of the sample were controlled (
  <b>Figure 1</b>
  ). For old
   
  patients
  ,
   hypertension control rate at inclusion was 12.78% and reached 49.44% at 3 months (
  <b>Figure 2</b>
  ). After logistic regression only HTN duration was significant predictor with Odd-ratio of 0.365 [0.213
   
  -
   
  0.624] 95% CI and p-value &lt; 0.001 (old
   
  patients as reference)
  .
   During the study period therapeutic regimen remained unchanged in 73.1% (44.4 for old
   
  Patients and 28.7 for new
  
  Patients. Calcium channel blocker (CCB), diuretics (DIU) and ACE-inhibitors (ACE-I) were the most prescribed drugs without statistical difference between patients with and without blood pressure under control.<b> Conclusion</b>
  <b>:</b>
   Short term hypertension control rate is low and patient follow-up must incorporate information at each visit as well as information through others channels for preventing hypertension. The duration of hypertension was found to be predictor for hypertension control
  .
 
</p></abstract><kwd-group><kwd>Hypertension</kwd><kwd> Control Rate</kwd><kwd> Old Patient</kwd><kwd> New Patient</kwd><kwd> Medication</kwd><kwd> Bamako</kwd><kwd> Outpatient</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Hypertension (HTN) has been recognized for many decades as worldwide major risk factor for cardiovascular disease. HTN is a major public health issue not only responsible for near 9.4 million deaths yearly but represent a high economic burden mainly for low- and middle-income countries [<xref ref-type="bibr" rid="scirp.85244-ref1">1</xref>] . Based on estimations, the number of hypertensive patients will rise from 26.4% in 2000 to 29.2% in 2025 representing 1.56 billion adults [<xref ref-type="bibr" rid="scirp.85244-ref2">2</xref>] . Moreover, it exists different patterns in cardiovascular mortality and also HTN, low- and middle-income countries being more affected [<xref ref-type="bibr" rid="scirp.85244-ref3">3</xref>] .</p><p>These facts make it clear that HTN should be addressed through different components [<xref ref-type="bibr" rid="scirp.85244-ref1">1</xref>] among them integrated primary care program for control of HTN.</p><p>However, hypertension control rates are globally low in the world ranging from 34% to 66% in North-America [<xref ref-type="bibr" rid="scirp.85244-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.85244-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.85244-ref6">6</xref>] . There are also improvements in control rate as published by McAlister [<xref ref-type="bibr" rid="scirp.85244-ref7">7</xref>] , Gupta [<xref ref-type="bibr" rid="scirp.85244-ref8">8</xref>] in urban Indian population but any improvement in awareness, treatment and control rates in India [<xref ref-type="bibr" rid="scirp.85244-ref9">9</xref>] . Even in particular group such HIV-patients, the control rate of HTN remains low [<xref ref-type="bibr" rid="scirp.85244-ref9">9</xref>] . Globally there is a marked difference in control rate between countries [<xref ref-type="bibr" rid="scirp.85244-ref10">10</xref>] .</p><p>Many factors have such blood pressure (BP) prior HTN diagnostic, awareness of hypertension and lifestyle modification been identified as common for HTN control [<xref ref-type="bibr" rid="scirp.85244-ref11">11</xref>] or access to a regular source of health care and modification of lifestyle for He J et al. [<xref ref-type="bibr" rid="scirp.85244-ref12">12</xref>] .</p><p>Studies on observance have been published in Mali but there is to our knowledge no published data about HTN control rate. We therefore conducted this study to assess the control rate in short term after 3 months management and to look for factors associated with HTN control.</p></sec><sec id="s2"><title>2. Methods</title><p>This study designed as prospective was conducted in the cardiology department of the UH-GT from March 24 to September 24 2017. All outpatients aged 18 years and more who came for visit and with hypertension as diagnosis were involved. All patients have consented to participate in the study.</p><p>A formulary has been filled for each patient and data concerned sociodemographic and data on physical examination including measures for BP, height, weight, waist circumference (WC) and direct costs as reported by the patients. At each visit patients were first asked about medication discontinuation and if yes why and then they were informed about the need to take regularly medication. The concept of chronic disease was explained to them.</p><p>All anthropometrical measures were done following WHO recommendations. Calculated value was body mass index (BMI) as weight (Kg)/height (m) squared.</p><p>High blood pressure (HBP) was retained for BP values of ≥140 mmHg systolic and ≥90 mmHg diastolic.</p><p>General obesity (Gob) was defined for BMI ≥ 30 Kg/m<sup>2</sup> and abdominal Obesity (AOb) for WC ≥ 102 cm for men and ≥ 88 cm for women. At each visit patients have been informed about hypertension and the need to continually take medicine.</p><p>Following classifications were used:</p><p>1) based on duration: old Patients for patients known as hypertensive patients before inclusion in the study and new Patients for patients knewly diagnosed as hypertensive patients.</p><p>2) based on hypertension control at 3 months: in Ctrl(+) for patients with blood pressure controlled and Ctrl(−) for those which blood pressure was not controlled.</p><p>Collected data were inserted in a Microsoft access database, which was built for this purpose and analysis was done using SPSS version 18 with appropriate statistical tests.</p><p>We first describe sociodemographics, continuous variables and crosstabs looking for difference between old and new patients and also between Ctr(−) and Ctrl(+). Finally we perform a logistic regression to look for blood pressure control predictors.</p></sec><sec id="s3"><title>3. Results</title><p>Our sample was representative making more than one third of the patients seen in the study period. It involved 286 patients with 180 old Patients and 106 new Patients with 68.2% being female, 46.2% from age group 60 and more. Patients were unschooled in 81.5%, from low income group in 58.4% (<xref ref-type="table" rid="table1">Table 1</xref>). There was no statistical difference in sociodemographics between older and newly diagnosed patients.</p><p>Tobacco smoking, Diabetes, dyslipidemia and high uric acid (HUA) were other cardiovascular risk factors found in respectively 4.8, 10.4, 12.5 and 17.8% of all cases (<xref ref-type="table" rid="table1">Table 1</xref>) without statistical difference between older and newly diagnosed patients.</p><p>Among continuous variables, only systolic blood pressure (SBP) was higher for new Patients (p = 0.014). Age, creatinine clearance, heart rate, weight, height, WC, BMI, diastolic blood pressure (DBP) haven’t show any statistically significant difference (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>At 3 months globally 40.90% (31.1 for old Patients and 09.8% for new Patients ) of the sample were controlled (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>For old Patients hypertension control rate at inclusion was 12.78% and reached 49.44% at 3 months.</p><p>During the study period therapeutic regimen remained unchanged in 73.1% (44.4 for old Patients and 28.7 for new Patients (<xref ref-type="table" rid="table3">Table 3</xref>). There were 2 old Patients by whom temporarily discontinuation or breaking was noted.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographics and risk factors or the sample of 286 hypertensive patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" ></th><th align="center" valign="middle" >Old Patients</th><th align="center" valign="middle" >New Patients</th><th align="center" valign="middle" >Total</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >17.5</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >0.056</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >45.5</td><td align="center" valign="middle" >22.7</td><td align="center" valign="middle" >195</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Age group</td><td align="center" valign="middle" >&lt;30</td><td align="center" valign="middle" >01.7</td><td align="center" valign="middle" >01.4</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >0.701</td></tr><tr><td align="center" valign="middle" >30 - 44</td><td align="center" valign="middle" >10.5</td><td align="center" valign="middle" >05.2</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >45 - 59</td><td align="center" valign="middle" >23.1</td><td align="center" valign="middle" >11.9</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥60</td><td align="center" valign="middle" >27.6</td><td align="center" valign="middle" >18.5</td><td align="center" valign="middle" >132</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="3"  >School attending (years)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >50.3</td><td align="center" valign="middle" >31.1</td><td align="center" valign="middle" >233</td><td align="center" valign="middle" >0.692</td></tr><tr><td align="center" valign="middle" >1 - 9</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >10 and more</td><td align="center" valign="middle" >10.8</td><td align="center" valign="middle" >05.2</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Income*</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >37.1</td><td align="center" valign="middle" >21.3</td><td align="center" valign="middle" >167</td><td align="center" valign="middle" >0.645</td></tr><tr><td align="center" valign="middle" >Middle</td><td align="center" valign="middle" >21.3</td><td align="center" valign="middle" >11.9</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >04.5</td><td align="center" valign="middle" >03.8</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Tobacco smoking</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >59.8</td><td align="center" valign="middle" >35.3</td><td align="center" valign="middle" >272</td><td align="center" valign="middle" >0.915</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >3.1</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >5.63</td><td align="center" valign="middle" >33.2</td><td align="center" valign="middle" >256</td><td align="center" valign="middle" >0.962</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >06.6</td><td align="center" valign="middle" >03.8</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Dyslipidemia</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >54.9</td><td align="center" valign="middle" >32.5</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >0.899</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >08.0</td><td align="center" valign="middle" >04.5</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hyperuricemia</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >51.4</td><td align="center" valign="middle" >30.8</td><td align="center" valign="middle" >235</td><td align="center" valign="middle" >0.773</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >11.5</td><td align="center" valign="middle" >06.3</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>*Income: based on monthly salary. Low for &lt;90 USD, Middle for ≥90 and &lt;540 USD, NA: No Answer.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of descriptives in the sample of 289 hypertensive patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="3"  >Old Patients</th><th align="center" valign="middle"  colspan="3"  >New Patients</th><th align="center" valign="middle"  colspan="3"  >Total</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >SD</td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >SD</td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >SD</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" >55.04</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >12.761</td><td align="center" valign="middle" >55.53</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >12.709</td><td align="center" valign="middle" >55.22</td><td align="center" valign="middle" >286</td><td align="center" valign="middle" >12.722</td><td align="center" valign="middle" >0.754</td></tr><tr><td align="center" valign="middle" ><sup>#</sup>CrCl at inclusion</td><td align="center" valign="middle" >85.61</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >29.176</td><td align="center" valign="middle" >84.85</td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >30.266</td><td align="center" valign="middle" >85.34</td><td align="center" valign="middle" >224</td><td align="center" valign="middle" >29.499</td><td align="center" valign="middle" >0.855</td></tr><tr><td align="center" valign="middle" >HR*</td><td align="center" valign="middle" >82.39</td><td align="center" valign="middle" >178</td><td align="center" valign="middle" >15.385</td><td align="center" valign="middle" >85.82</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >15.285</td><td align="center" valign="middle" >83.67</td><td align="center" valign="middle" >284</td><td align="center" valign="middle" >15.411</td><td align="center" valign="middle" >0.069</td></tr><tr><td align="center" valign="middle" >Weight (Kg)</td><td align="center" valign="middle" >74.22</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >16.401</td><td align="center" valign="middle" >73.84</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >15.553</td><td align="center" valign="middle" >74.08</td><td align="center" valign="middle" >286</td><td align="center" valign="middle" >16.065</td><td align="center" valign="middle" >0.848</td></tr><tr><td align="center" valign="middle" >Height (cm)</td><td align="center" valign="middle" >164.69</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >7.353</td><td align="center" valign="middle" >165.53</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >7.148</td><td align="center" valign="middle" >165.00</td><td align="center" valign="middle" >286</td><td align="center" valign="middle" >7.276</td><td align="center" valign="middle" >0.347</td></tr><tr><td align="center" valign="middle" >WC**</td><td align="center" valign="middle" >93.69</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >14.897</td><td align="center" valign="middle" >91.52</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >12.695</td><td align="center" valign="middle" >92.89</td><td align="center" valign="middle" >286</td><td align="center" valign="middle" >14.137</td><td align="center" valign="middle" >0.209</td></tr><tr><td align="center" valign="middle" >BMI***</td><td align="center" valign="middle" >28.45</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >6.148</td><td align="center" valign="middle" >27.83</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >5.778</td><td align="center" valign="middle" >28.22</td><td align="center" valign="middle" >286</td><td align="center" valign="middle" >6.011</td><td align="center" valign="middle" >0.394</td></tr><tr><td align="center" valign="middle" >SBP<sup>+</sup></td><td align="center" valign="middle" >156.93</td><td align="center" valign="middle" >178</td><td align="center" valign="middle" >26.459</td><td align="center" valign="middle" >165.63</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >31.747</td><td align="center" valign="middle" >160.14</td><td align="center" valign="middle" >282</td><td align="center" valign="middle" >28.777</td><td align="center" valign="middle" >0.014</td></tr><tr><td align="center" valign="middle" >DBP<sup>++</sup></td><td align="center" valign="middle" >95.08</td><td align="center" valign="middle" >178</td><td align="center" valign="middle" >14.076</td><td align="center" valign="middle" >96.57</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >19.108</td><td align="center" valign="middle" >95.63</td><td align="center" valign="middle" >282</td><td align="center" valign="middle" >16.098</td><td align="center" valign="middle" >0.456</td></tr><tr><td align="center" valign="middle" >MAP<sup>+++</sup></td><td align="center" valign="middle" >115.70</td><td align="center" valign="middle" >178</td><td align="center" valign="middle" >16.609</td><td align="center" valign="middle" >119.59</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >21.170</td><td align="center" valign="middle" >117.13</td><td align="center" valign="middle" >282</td><td align="center" valign="middle" >18.481</td><td align="center" valign="middle" >0.088</td></tr></tbody></table></table-wrap><p><sup>#</sup>Creatinine clearance; *heart rate; **Waist circumference; ***Body mass index; <sup>+</sup>Systolic blood pressure; <sup>++</sup>Diastolic blood pressure; <sup>+++</sup>Mean arterial pressure.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of therapeutical regimen changes</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Molecules Changed</th><th align="center" valign="middle" >Old patients (%)</th><th align="center" valign="middle" >New patients (%)</th><th align="center" valign="middle" >Total</th></tr></thead><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >44.4</td><td align="center" valign="middle" >28.7</td><td align="center" valign="middle" >209</td></tr><tr><td align="center" valign="middle" >1 added</td><td align="center" valign="middle" >9.4</td><td align="center" valign="middle" >5.9</td><td align="center" valign="middle" >044</td></tr><tr><td align="center" valign="middle" >2 added</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >001</td></tr><tr><td align="center" valign="middle" >1 added, 1 replaced</td><td align="center" valign="middle" >01.4</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >004</td></tr><tr><td align="center" valign="middle" >1 retired</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >002</td></tr><tr><td align="center" valign="middle" >1 retired, 1 replaced</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >002</td></tr><tr><td align="center" valign="middle" >1 replaced</td><td align="center" valign="middle" >5.9</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >021</td></tr><tr><td align="center" valign="middle" >2 replaced</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >003</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >62.9</td><td align="center" valign="middle" >37.1</td><td align="center" valign="middle" >286</td></tr></tbody></table></table-wrap><p>Calcium channel blocker (CCB), diuretics (DIU) and ACE-inhibitors (ACE-I) were the most prescribed drugs without statistical difference between patients with and without blood pressure under control (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>Old patients had higher prescriptions rate for all antihypertensive classes except for angiotensin receptor type 2 (ARA2) with a statistical significant difference for beta-blocker (BB). There was always more CCB, DIU and ACE-I as most prescribed antihypertensive molecules (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>By looking for factors related to blood pressure control, we found only HTN duration as significant predictor. Odd-ratio for HBP duration with old patients as reference was 0.365 [0.213 - 0.624] 95% CI and p-value &lt; 0.001meaning that new patients were less likely to have their blood pressure controlled (<xref ref-type="table" rid="table4">Table 4</xref>). Old patients had mostly tritherapy whereas new one had monotherapy prescribed (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Factors associated with blood pressure control</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  >Factors</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% C.I. for OR</th></tr></thead><tr><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Lower</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Sex Male as reference χ<sup>2</sup>(1) = 0.154 (1), p = 0.695</td><td align="center" valign="middle" >1.161</td><td align="center" valign="middle" >0.552</td><td align="center" valign="middle" >2.440</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Age in years &lt; 30 as reference χ<sup>2</sup>(3) = 1.446, p = 0.695</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" ></td><td align="center" valign="middle" >30 - 44</td><td align="center" valign="middle" >0.727</td><td align="center" valign="middle" >0.154</td><td align="center" valign="middle" >3.436</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >45 - 59</td><td align="center" valign="middle" >0.955</td><td align="center" valign="middle" >0.216</td><td align="center" valign="middle" >4.226</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >60 and more</td><td align="center" valign="middle" >0.691</td><td align="center" valign="middle" >0.157</td><td align="center" valign="middle" >3.039</td></tr><tr><td align="center" valign="middle"  colspan="2"  >School attending in years 0 as reference χ<sup>2</sup>(2) = 1.230, p = 0.541</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" ></td><td align="center" valign="middle" >1 - 9</td><td align="center" valign="middle" >2.539</td><td align="center" valign="middle" >0.488</td><td align="center" valign="middle" >13.222</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >10+</td><td align="center" valign="middle" >1.111</td><td align="center" valign="middle" >0.500</td><td align="center" valign="middle" >2.468</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Income Level Low as reference χ<sup>2</sup>(1) = 1.895, p = 0.169</td><td align="center" valign="middle" >0.617</td><td align="center" valign="middle" >0.311</td><td align="center" valign="middle" >1.227</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Tobacco smoking No as reference χ<sup>2</sup>(1) = 0.026, p = 0.872</td><td align="center" valign="middle" >0.902</td><td align="center" valign="middle" >0.258</td><td align="center" valign="middle" >3.152</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Diabetes No as reference χ<sup>2</sup>(1) = 0.446, p = 0.504</td><td align="center" valign="middle" >1.326</td><td align="center" valign="middle" >0.579</td><td align="center" valign="middle" >3.035</td></tr><tr><td align="center" valign="middle"  colspan="2"  >WC* Normal as reference χ<sup>2</sup>(1) = 0.036, p = 0.849</td><td align="center" valign="middle" >0.934</td><td align="center" valign="middle" >0.460</td><td align="center" valign="middle" >1.893</td></tr><tr><td align="center" valign="middle"  colspan="2"  >BM**I Normal as reference χ<sup>2</sup>(2) = 1.899, p = 0.387</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" ></td><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >1.034</td><td align="center" valign="middle" >0.520</td><td align="center" valign="middle" >2.057</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >0.658</td><td align="center" valign="middle" >0.278</td><td align="center" valign="middle" >1.558</td></tr><tr><td align="center" valign="middle"  colspan="2"  >HTN*** duration Old patients as reference χ<sup>2</sup>(1)=13.578, p &lt; 0.001</td><td align="center" valign="middle" >0.365</td><td align="center" valign="middle" >0.213</td><td align="center" valign="middle" >0.624</td></tr></tbody></table></table-wrap><p>*waist circumference; **body mass index; ***hypertension.</p></sec><sec id="s4"><title>4. Discussion</title><p>Our study, the first in its kind presents some interesting findings about HTN and its control rate in hospital area:</p><p>1) The sample with more patients in low income category and mostly unschooled reflects the population structure in our country.</p><p>2) Typical cardiovascular risk factors such as tobacco, Diabetes, dyslipidemia were found as in most studies [<xref ref-type="bibr" rid="scirp.85244-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.85244-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.85244-ref15">15</xref>] .</p><p>3) As shown in <xref ref-type="fig" rid="fig1">Figure 1</xref> control rate at 3 months remains low with 40.90% old patients having a higher control rate of 31.1. We didn’t find previous data on hypertension control rate in Mali. HBP control rate is generally poor in most countries with 14.9% in some regions of China [<xref ref-type="bibr" rid="scirp.85244-ref16">16</xref>] but varied considerably from 27% in England to 66% in Canada [<xref ref-type="bibr" rid="scirp.85244-ref4">4</xref>] . Trends showed increasing but this remains low for example 2 - 21 for all, 12 - 37 for aware and 9% to 49% for treated hypertensive patients [<xref ref-type="bibr" rid="scirp.85244-ref8">8</xref>] .</p><p>We saw an increase in control rate for old patients in the short term. This could be due to close follow-up and provided information in the study time. He et al. [<xref ref-type="bibr" rid="scirp.85244-ref12">12</xref>] pointed out the fact that a regular source of health care and modification of lifestyle are important factors in the control of hypertension in the community. That could explain why our old patients had a higher control rate</p><p>1) Some factors were found to be associated with a better control rate of HTN such as repeated blood pressure measure, being aware of HTN diagnosis and taking lifestyle modification [<xref ref-type="bibr" rid="scirp.85244-ref11">11</xref>] . In our study lifestyle modifications could not be assessed as they need time longer than just 3 months.</p><p>2) Our patients got with decreasing proportion CCB, DIU and ACE-I in the same order as for old and new patients well for patients with and without controlled HBP according to recommendations. Control rate remained low despite as for most countries [<xref ref-type="bibr" rid="scirp.85244-ref17">17</xref>] even we know from the COMFORT study that adherence to antihypertensive drug regimen is related to blood pressure control [<xref ref-type="bibr" rid="scirp.85244-ref18">18</xref>] . More over combination antihypertensive therapy is often needed to reach BP goal [<xref ref-type="bibr" rid="scirp.85244-ref19">19</xref>] .</p><p>We could not test strategy as described by Kamel et al. [<xref ref-type="bibr" rid="scirp.85244-ref20">20</xref>] due to cost issues, most of our patients being without medical insurance. It appeared also clear that medication is necessary for blood pressure control as shown in <xref ref-type="fig" rid="fig4">Figure 4</xref>. Only 2 patients had their hypertension controlled without medication.</p></sec><sec id="s5"><title>5. Limits</title><p>Our study extended only about 3 months and will not give information about control rate in long term and also about the sustainability of controlled blood pressure. It will be also interesting to try to repeat the same study in a year looking for trends in the hypertension control rate or further looking for associated factors.</p></sec><sec id="s6"><title>6. Conclusion</title><p>Our study gave control rate in short period; sustainability should be assessed in a longer time. Hypertension duration was the only factor which was associated with its control. Fast all patients need medication.</p></sec><sec id="s7"><title>Cite this paper</title><p>B&#226;, H.O., Menta, I., Sangare, I., Camara, Y., Sidibe, N., Coulibaly, S., Traor&#233;, D., Dakouo, R., Samak&#233;, S., Traor&#233;, A., Sidib&#233;, S., Cissouma, M., Fofana, C.H., Sidibe, L. and Sanogo, K.M. (2018) Hypertension in Clinical Practice: Control Rate in Short Term and Associated Factors in the Cardiology Department of the University Hospital Gabriel Tour&#233; (UH- GT) in Bamako (Mali). World Journal of Cardiovascular Diseases, 8, 288-297. https://doi.org/10.4236/wjcd.2018.86028</p></sec></body><back><ref-list><title>References</title><ref id="scirp.85244-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Wolrd Health Organization. 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