<?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.2020.103015</article-id><article-id pub-id-type="publisher-id">WJCD-99115</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>
 
 
  Pediatric Hypertension (HTN) Assessed by Various Methods: A Study among Pediatric Inpatients in University Hospital Gabriel Tour&#233; (UH-GT)
 
</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>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>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>Maiga</surname><given-names>Belco</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>Diakite</surname><given-names>Mamadou</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>A.</surname><given-names>Dembele</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>Fofana</surname><given-names>Cheick Hamala</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>Toure</surname><given-names>Mamadou</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>Hamidou</surname><given-names>Camara</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>Sogodogo</surname><given-names>Adama</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>Traore</surname><given-names>Aladji</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>Sidibe</surname><given-names>Samba</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>Sidibe</surname><given-names>Noumou</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>Diakite</surname><given-names>Mamadou</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>Doumbia</surname><given-names>Coumba Thiam</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>Maiga</surname><given-names>Asmaou Kéita</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Konate</surname><given-names>Massama</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sonfo</surname><given-names>Boubacar</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>Menta</surname><given-names>Ichaka</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>Ilo</surname><given-names>Bella Diall</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>Togo</surname><given-names>Boubacar</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>Diarra</surname><given-names>Mamadou Bocary</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Service de Cardiologie, CHU Kati, Bamako, Mali</addr-line></aff><aff id="aff5"><addr-line>Service de Cardiologie CHU Mère-Enfant, Bamako, Mali</addr-line></aff><aff id="aff3"><addr-line>Service de Pédiatrie, CHU Gabriel Touré, Bamako, Mali</addr-line></aff><aff id="aff4"><addr-line>Service de Cardiologie du CHU Point G, Bamako, Mali</addr-line></aff><aff id="aff6"><addr-line>Service de Médecine Interne et d’Endocrinologie, H&amp;amp;ocirc;pital du Mali, Bamako, Mali</addr-line></aff><aff id="aff1"><addr-line>Service de Cardiologie CHU Gabriel Touré, Bamako, Mali</addr-line></aff><pub-date pub-type="epub"><day>19</day><month>03</month><year>2020</year></pub-date><volume>10</volume><issue>03</issue><fpage>144</fpage><lpage>154</lpage><history><date date-type="received"><day>19,</day>	<month>February</month>	<year>2020</year></date><date date-type="rev-recd"><day>23,</day>	<month>March</month>	<year>2020</year>	</date><date date-type="accepted"><day>26,</day>	<month>March</month>	<year>2020</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>
  It is known for decades that a correlation among child blood pressure and adult pressure exist. There are few publications on Hypertension (HTN) in pediatric area. We therefore conducted this study to estimate the exten
  sion
   of HTN among children and looking for associated factors.
   
  <b>Methods</b>
  <b>: </b>
  Blood pressure was assessed using the references released by the National institutes of health in the United States, those of the French Society of Pediatric Nephrology and z-score. We used the auscultation method with appropriate cuff adapted to the child’s upper arm
  . 
  We got for each arm 3 blood pressure measures taken children seated or lying on the back and mean blood pressure was calculated and used for the evaluation of the pressure level. The arm with the higher blood pressure was considered for the study.
  <b> </b>
  Socio-demographical and clinical data were collected anonymously on a formulary and then inserted in a Microsoft Access Database. Analysis was done using Statistical Package for the Social Sciences
   
  (SPSS)
   
  software using appropriate tests.
  <b> </b>
  <b>Results</b>
  <b>: </b>
  The study involved 154 patients (boys:girls =
   
  56.5:43.5) aged 3 to 16 years. Patients of 11 years and older made 57.1% of the sample. Most patients suffered from severe malaria (35.1%, glomerular and heart diseases with respectively 16.2
  %
   and 9.1%
  . 
  The global proportion of hypertensive patients was 27
  %
  , 39
  %
   and 5.2% respectively based on references of the French society of nephrology, those of the 4th report of the NHBPEP and standard deviation.
  <b> </b>
  Looking for associated factors with hypertension the logistic regression found no predictor for hypertension using pressure cut-offs values based on the French society of nephrology and those of the 4th report of the National High Blood Pressure Education Programm (NHBPEP)
  . 
  <b>Conclusion</b>
  <b>: </b>
  Children must be checked for hypertension to avoid organ damage and later cardiovascular complications. Blood pressure assessment should be preferably done on outpatients as the role of the stressful hospitalization environment can be attenuated.
 
</p></abstract><kwd-group><kwd>Hypertension</kwd><kwd> Pediatric</kwd><kwd> Bamako</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>High blood pressure (HBP) commonly hypertension (HTN) as a risk factor is of big concern, qualified as public health problem in adult population in developed and more in developing countries [<xref ref-type="bibr" rid="scirp.99115-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref3">3</xref>]. It is known for decades that a correlation among child blood pressure and adult pressure exist [<xref ref-type="bibr" rid="scirp.99115-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref6">6</xref>]. Some factors are related to development of hypertension such low birth weight, prematurity [<xref ref-type="bibr" rid="scirp.99115-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref10">10</xref>]. Studies showed that there is an increase in children blood pressure in developed countries [<xref ref-type="bibr" rid="scirp.99115-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref12">12</xref>], whereas some developing countries didn’t show that [<xref ref-type="bibr" rid="scirp.99115-ref13">13</xref>]. It is therefore necessary to check for HBP as earlier as possible, up 3 years old for most authors.</p><p>Opposed to adult blood pressure which is estimated based on a single reference value, HBP for children is estimated using many references [<xref ref-type="bibr" rid="scirp.99115-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref16">16</xref>]. All these methods need either height, sex, age, percentiles of blood pressure or calculation blood pressure standard deviation. Unlike for adults with just reading the blood pressure level, it is not easy to measure children blood pressure as it needs to know other parameters like height, age, etc. and they must be quiet enough to proceed with the measurement.</p><p>HBP prevalence in pediatric population is estimated to be low [<xref ref-type="bibr" rid="scirp.99115-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref18">18</xref>]. This prevalence ranged from 2.9% to 5.6% in Chetla (India) [<xref ref-type="bibr" rid="scirp.99115-ref19">19</xref>]. Data from African continent revealed prevalences of 4.9% for primary school children [<xref ref-type="bibr" rid="scirp.99115-ref20">20</xref>], 11.4% systolic and 8.1% diastolic, 3.9% combined HTN in Tanzania [<xref ref-type="bibr" rid="scirp.99115-ref21">21</xref>]. Previous Malian studies in cardiology department found prevalence of 11% and 2.25% [<xref ref-type="bibr" rid="scirp.99115-ref22">22</xref>] respectively based on reference values from the Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents [<xref ref-type="bibr" rid="scirp.99115-ref14">14</xref>] and those of the French Society of pediactric Nephrology [<xref ref-type="bibr" rid="scirp.99115-ref15">15</xref>]. In general population, HTN prevalence was 6% for children aged 5 to 17 years [<xref ref-type="bibr" rid="scirp.99115-ref23">23</xref>].</p><p>There are few publications on HTN in pediatric area. We therefore conducted this study to estimate the extension of HTN among children and looking for associated factors.</p></sec><sec id="s2"><title>2. Methods</title><p>This study was conducted as cross sectional in pediatric department of the University Hospital Gabriel Tour&#233; (UH-GT) in Bamako from August 2015 to Mai 2016, involving children from 3 to 16 years.</p><p>Included were all patients admitted to the general pediatric unit in the pediatric department by whom blood pressure could be assessed. Excluded were new born.</p><p>Blood pressure was assessed using the references released by the National institutes of health in the United States (14), those of the French Society of Pediatric Nephrology [<xref ref-type="bibr" rid="scirp.99115-ref15">15</xref>] and standard deviation (SD).</p><p>Briefly for the French Society of Pediatric Nephrology HBP is defined for blood pressure percentiles over 97.5 and for the National Institute of Health over 90th percentile as stated in the following table.</p><p>*National high blood pressure education program working group on high blood pressure in children and adolescents.</p><p>Based on z-score, HBP is defined for blood pressure &gt; 2z. The latter was calculated using the following the formula below with y i being the value, y &#175; the mean of the sample and s the standard deviation:</p><p>z i = y i − y &#175; s</p><p>We used the auscultation method with appropriate cuff adapted to the child’s upper arm.</p><p>We got for each arm 3 blood pressure measures taken children seated or lying on the back and mean blood pressure was calculated and used for the evaluation of the pressure level. The interval between the arms with the higher blood pressure was considered for the study.</p><p>Socio-demographical (age, sex), parental cardiovascular risk factors and clinical data (blood pressure, labor tests including blood glucose, urea, serum creatinine, proteinuria, hematuria) were collected anonymously on a formulary and then inserted in a Microsoft Access Database. Analysis was done using “IBM SPSS for Windows, version 18” (IBM Corp., Armonk, N.Y., USA) with Chi-square test for categorical variables and analysis of variance for quantitative variables as well as a logistic regression.</p></sec><sec id="s3"><title>3. Results</title><p>The study involved 154 patients (Boys:girls = 56.5:43.5) aged 3 to 16 years. Patients of 11 years and older made 57.1% of the sample (Diagram 1). Most patients suffered from severe malaria (35.1%, glomerular and heart diseases with respectively 16.2% and 9.1%.</p><p>Comparing means in ANOVA-Test (not shown) for age, weight, height, systolic and diastolic blood pressure gave no statistical difference between boys and girls. Diagram 2 shows these different values.</p><p>The global proportion of hypertensive patients was 27%, 39% and 5.2% respectively based on references of the French society of nephrology, those of the 4th report of the NHBPEP and standard deviation (Diagram 3).</p><disp-formula id="scirp.99115-formula175"><graphic  xlink:href="//html.scirp.org/file/3-1911001x5.png"  xlink:type="simple"/></disp-formula><p>Diagram 1. Sociodemographic characters of the sample of 154 pediatric patients for the high blood pressure study in the UH-GT.</p><disp-formula id="scirp.99115-formula176"><graphic  xlink:href="//html.scirp.org/file/3-1911001x6.png"  xlink:type="simple"/></disp-formula><p>Diagram 2. Anthropometric and blood pressure values of the sample of 154 pediatric patients for the high blood pressure study in the UH-GT. *mSBP: mean systolic blood pressure. **mDBP: mean diastolic blood pressure.</p><disp-formula id="scirp.99115-formula177"><graphic  xlink:href="//html.scirp.org/file/3-1911001x7.png"  xlink:type="simple"/></disp-formula><p>Diagram 3. Proportion of high blood pressure measured by various methods in the UH-GT.</p><sec id="s3_1"><title>3.1. Blood Pressure Based on the Reference of the French Society of Nephrology (<xref ref-type="table" rid="table1">Table 1</xref>)</title><p>Boys had 9.2 versus 7.1 and 2.1 versus 0.7% for girls respectively for level 2 and 3 systolic hypertension; the corresponding values for diastolic hypertension were 5 and 9.2% respectively for level 2 and 3. Girls had lower values except for diastolic hypertension with 6.4 versus 5% for boys. Those differences didn’t reach statistical significance. The same trend was observed for the age groups with hypertensive patients in age group 4 - 10 years without statistical significantly difference.</p></sec><sec id="s3_2"><title>3.2. Blood Pressure Based on the Reference of the 4th Report of the NHBPEP (<xref ref-type="table" rid="table2">Table 2</xref>)</title><p>There was a trend with boys being more hypertensive (2.6 versus 1.3 and 14.3 versus 13.0% respectively for systolic pre-hypertension and stage 1 - 2 hypertension, the p value remaining not statistically significant (p = 0.745). Diastolic values were 5.2 versus for pre-hypertension and same value of 14.3 for hypertension stage 1 - 2 (p = 0.504).</p><p>Patients aged 4 up to 10 years showed a higher proportion of hypertensive patients as well for systolic as for diastolic hypertension.</p></sec><sec id="s3_3"><title>3.3. Blood Pressure Based on Z-Score (<xref ref-type="table" rid="table3">Table 3</xref>)</title><p>Girls had a higher proportion of systolic and diastolic hypertension with 2.6 versus 1.9% for boys, p-value remaining not significant at 0.456. The same proportions were found for systolic and diastolic hypertension.</p><p>Patients aged 11 years and older had a higher proportion of systolic hypertension with 2.6% whereas those between 4 and 10 years showed more hypertensive patients with 2%.</p></sec><sec id="s3_4"><title>3.4. Factors Associated with Hypertension (<xref ref-type="table" rid="table4">Table 4</xref> &amp; <xref ref-type="table" rid="table5">Table 5</xref>)</title><p>Looking for associated factors for hypertension the logistic regression found no</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Blood pressure description based on the French society of nephrology of the sample of 154 pediatric patients for the high blood pressure study in the UH-GT</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  >Characteristics</th><th align="center" valign="middle"  colspan="4"  >Systolic</th><th align="center" valign="middle"  colspan="3"  >Diastolic</th></tr></thead><tr><td align="center" valign="middle" >No HTN</td><td align="center" valign="middle" >Level 2*</td><td align="center" valign="middle"  colspan="2"  >Level 3*</td><td align="center" valign="middle" >No HTN</td><td align="center" valign="middle" >Level 2</td><td align="center" valign="middle" >Level 3</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Boys (80)</td><td align="center" valign="middle" >45.4</td><td align="center" valign="middle" >9.2</td><td align="center" valign="middle"  colspan="2"  >2.1</td><td align="center" valign="middle" >42.6</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >9.2</td></tr><tr><td align="center" valign="middle" >Girls (61)</td><td align="center" valign="middle" >35.5</td><td align="center" valign="middle" >7.1</td><td align="center" valign="middle"  colspan="2"  >0.7</td><td align="center" valign="middle" >31.2</td><td align="center" valign="middle" >6.4</td><td align="center" valign="middle" >5.7</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >p</td><td align="center" valign="middle"  colspan="4"  >0.756</td><td align="center" valign="middle"  colspan="3"  >0.505</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Age group (years)</td><td align="center" valign="middle" >4 - 10 (88)</td><td align="center" valign="middle" >50.4</td><td align="center" valign="middle"  colspan="2"  >10.6</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >47.5</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >9.9</td></tr><tr><td align="center" valign="middle" >≥11 (53)</td><td align="center" valign="middle" >30.5</td><td align="center" valign="middle"  colspan="2"  >5.7</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >26.2</td><td align="center" valign="middle" >6.4</td><td align="center" valign="middle" >5.0</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >p</td><td align="center" valign="middle"  colspan="4"  >0.843</td><td align="center" valign="middle"  colspan="3"  >0.257</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >80.9</td><td align="center" valign="middle"  colspan="2"  >16.3</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >73.8</td><td align="center" valign="middle" >11.4</td><td align="center" valign="middle" >14.9</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><td align="center" valign="middle" ></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></tbody></table></table-wrap><p>Level 2: “Confirmed HTN” if BP &gt; 97.5th percentile + 10 et &lt; 97.5th percentile + 30 mm; Level 3: “immediately threatening HTN” if BP &gt; 97.5th percentile + 30 mmHg Hg.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Blood pressure description based on the references of the 4th report of NHBPEP of the sample of 154 pediatric patients for the high blood pressure study in the UH-GT</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  ></th><th align="center" valign="middle"  colspan="3"  >Systolic</th><th align="center" valign="middle"  colspan="3"  >Diastolic</th></tr></thead><tr><td align="center" valign="middle" >No HTN</td><td align="center" valign="middle" >Pre-HTN</td><td align="center" valign="middle" >Stage 1 - 2</td><td align="center" valign="middle" >No HTN</td><td align="center" valign="middle" >Pre-HTN</td><td align="center" valign="middle" >Stage 1 - 2</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Sex</td><td align="center" valign="middle" >Boys (87)</td><td align="center" valign="middle" >39.6</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >37.0</td><td align="center" valign="middle" >5.2</td><td align="center" valign="middle" >14.3</td></tr><tr><td align="center" valign="middle" >Girls (67)</td><td align="center" valign="middle" >29.2</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >13.0</td><td align="center" valign="middle" >26.6</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >14.3</td></tr><tr><td align="center" valign="middle" >p</td><td align="center" valign="middle"  colspan="3"  >0.745</td><td align="center" valign="middle"  colspan="3"  >0.504</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Age group (years)</td><td align="center" valign="middle" >&lt;4 (13)</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >7.1</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle" >4 - 10 (88)</td><td align="center" valign="middle" >38.3</td><td align="center" valign="middle" >3.9</td><td align="center" valign="middle" >14.9</td><td align="center" valign="middle" >38.3</td><td align="center" valign="middle" >3.2</td><td align="center" valign="middle" >15.6</td></tr><tr><td align="center" valign="middle" >≥11 (53)</td><td align="center" valign="middle" >22.7</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >11.7</td><td align="center" valign="middle" >18.2</td><td align="center" valign="middle" >3.9</td><td align="center" valign="middle" >12.3</td></tr><tr><td align="center" valign="middle" >p</td><td align="center" valign="middle"  colspan="3"  >0.079</td><td align="center" valign="middle"  colspan="3"  >0.171</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >154</td><td align="center" valign="middle" >68.8</td><td align="center" valign="middle" >3.9</td><td align="center" valign="middle" >27.3</td><td align="center" valign="middle" >63.6</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >28.6</td></tr></tbody></table></table-wrap><p>Prehypertension 90 - &lt;95th or if BP exceeds 120/80 mmHg even if below 90th percentile up to &lt;95th percentile; Stage 1 95 - 99 + 5 mmHg; Stage 2 &gt; 99th percentile + 5 mmHg.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Blood pressure description based on the standard deviation of the sample of 154 pediatric patients for the high blood pressure study in the UH-GT</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Systolic</th><th align="center" valign="middle"  colspan="2"  >Diastolic</th></tr></thead><tr><td align="center" valign="middle" >NoHTN</td><td align="center" valign="middle" >HTN</td><td align="center" valign="middle" >NoHTN</td><td align="center" valign="middle" >HTN</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Sex</td><td align="center" valign="middle" >Boys (86)</td><td align="center" valign="middle" >54.5</td><td align="center" valign="middle" >1.9</td><td align="center" valign="middle" >54.5</td><td align="center" valign="middle" >1.9</td></tr><tr><td align="center" valign="middle" >Girls (67)</td><td align="center" valign="middle" >40.9</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >40.9</td><td align="center" valign="middle" >2.6</td></tr><tr><td align="center" valign="middle" >p</td><td align="center" valign="middle"  colspan="2"  >0.456</td><td align="center" valign="middle"  colspan="2"  >0.456</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Age group (years)</td><td align="center" valign="middle" >&lt;4 (13)</td><td align="center" valign="middle" >8.4</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >8.5</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >4 - 10 (88)</td><td align="center" valign="middle" >55.2</td><td align="center" valign="middle" >1.9</td><td align="center" valign="middle" >54.5</td><td align="center" valign="middle" >2.0</td></tr><tr><td align="center" valign="middle" >≥11 (52)</td><td align="center" valign="middle" >31.8</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >32.5</td><td align="center" valign="middle" >1.9</td></tr><tr><td align="center" valign="middle" >p</td><td align="center" valign="middle"  colspan="2"  >0.371</td><td align="center" valign="middle"  colspan="2"  >0.680</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >154</td><td align="center" valign="middle" >96.1</td><td align="center" valign="middle" >3.9</td><td align="center" valign="middle" >96.1</td><td align="center" valign="middle" >3.9</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Logistic regression using the references of the french society of Nephrology of the sample of 141 pediatric patients for the high blood pressure study in the UH-GT</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  >Variables</th><th align="center" valign="middle"  rowspan="2"  >dof</th><th align="center" valign="middle"  rowspan="2"  >p</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% CI for OR</th></tr></thead><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >High</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Sex (boy as reference)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.764</td><td align="center" valign="middle" >1.125</td><td align="center" valign="middle" >0.520</td><td align="center" valign="middle" >2.434</td></tr><tr><td align="center" valign="middle"  colspan="2"  >4 - 10 years (11 and more as reference)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.270</td><td align="center" valign="middle" >0.647</td><td align="center" valign="middle" >0.299</td><td align="center" valign="middle" >1.403</td></tr><tr><td align="center" valign="middle" >Father risk factors</td><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.749</td><td align="center" valign="middle" >0.653</td><td align="center" valign="middle" >0.048</td><td align="center" valign="middle" >8.881</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Tobacco smoking</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.971</td><td align="center" valign="middle" >0.977</td><td align="center" valign="middle" >0.283</td><td align="center" valign="middle" >3.380</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Alcohol consumption</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.679</td><td align="center" valign="middle" >1.693</td><td align="center" valign="middle" >0.140</td><td align="center" valign="middle" >20.470</td></tr><tr><td align="center" valign="middle" >Mother risk factors</td><td align="center" valign="middle" >Hypertension</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.891</td><td align="center" valign="middle" >0.814</td><td align="center" valign="middle" >0.043</td><td align="center" valign="middle" >15.372</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.998</td><td align="center" valign="middle" >0.996</td><td align="center" valign="middle" >0.039</td><td align="center" valign="middle" >25.523</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Logistic regression using the references of the 4th report of the NHBPEP of the sample of 154 pediatric patients for the high blood pressure study in the UH-GT</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  >Variables</th><th align="center" valign="middle"  rowspan="2"  >dof</th><th align="center" valign="middle"  rowspan="2"  >p</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% CI for OR</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Sex (boy as reference)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.617</td><td align="center" valign="middle" >1.190</td><td align="center" valign="middle" >0.602</td><td align="center" valign="middle" >2.350</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Age group in years (&lt;4 as reference)</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.106</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" ></td><td align="center" valign="middle" >4 - 10</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.118</td><td align="center" valign="middle" >3.508</td><td align="center" valign="middle" >0.727</td><td align="center" valign="middle"  colspan="2"  >16.923</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >≥11</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.043</td><td align="center" valign="middle" >5.279</td><td align="center" valign="middle" >1.057</td><td align="center" valign="middle"  colspan="2"  >26.366</td></tr><tr><td align="center" valign="middle" >Father risk factors</td><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.367</td><td align="center" valign="middle" >0.302</td><td align="center" valign="middle" >0.022</td><td align="center" valign="middle"  colspan="2"  >4.069</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Tabacco smoking</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.655</td><td align="center" valign="middle" >1.280</td><td align="center" valign="middle" >0.433</td><td align="center" valign="middle"  colspan="2"  >3.781</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Alcohol consumption</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.860</td><td align="center" valign="middle" >0.800</td><td align="center" valign="middle" >0.067</td><td align="center" valign="middle"  colspan="2"  >9.516</td></tr><tr><td align="center" valign="middle" >Mother risk factors</td><td align="center" valign="middle" >Hypertension</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.537</td><td align="center" valign="middle" >0.394</td><td align="center" valign="middle" >0.021</td><td align="center" valign="middle"  colspan="2"  >7.583</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.970</td><td align="center" valign="middle" >1.064</td><td align="center" valign="middle" >0.041</td><td align="center" valign="middle"  colspan="2"  >27.469</td></tr></tbody></table></table-wrap><p>predictor for hypertension using pressure cut-offs values based on the French society of nephrology and those of the 4th report of the NHBPEP (<xref ref-type="table" rid="table4">Table 4</xref> and <xref ref-type="table" rid="table5">Table 5</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Our study was the first to handle high blood pressure comparing the most 2 methods to assess blood pressure in pediatric area. As these tools have been developed for different populations we used Z-score as the third method to appreciate blood pressure.</p><p>Our findings give rise to the following comments:</p><p>- High blood pressure proportions are very different according to the methods. The reference method of the 4th report of the NHBPEP found the highest proportion of hypertensive children with 39% much than using French references. The standard deviation method found the lowest proportion of high blood pressure patients, only 5.2%, concordant with a previous study in general population which found 6% hypertensive children in Bamako [<xref ref-type="bibr" rid="scirp.99115-ref22">22</xref>]. As using the Z-score is not very easy in clinical practice, large data on our patients are necessary to establish gender and age specific cut-off values for our population. Even the first two methods are not ideal to check up essentially due to their origin from high-income countries with a very different setting; it is possible to use them for follow up.</p><p>- The proportion of hypertensive children is high and of concern, but might be overestimated probably due to the stressful environment and also the proportion of glomerular and heart diseases in the sample. It is also maybe not sufficient to multiply blood pressure measures on the same inpatient in order to create an adaptation, pressure values should be assessed far from an hospitalization. This could explain why we found a small proportion in a study on ambulant patients in 3 consecutive visits [<xref ref-type="bibr" rid="scirp.99115-ref22">22</xref>].</p><p>- Using the Z-score gives proportions which are very close to each other or both diastolic and systolic hypertension meaning there is less discrimination using Z-score in this form.</p><p>- Many factors have been described as associated with hypertension like overweight, obesity [<xref ref-type="bibr" rid="scirp.99115-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref25">25</xref>], parental HTN [<xref ref-type="bibr" rid="scirp.99115-ref26">26</xref>] or various anthropometric measures [<xref ref-type="bibr" rid="scirp.99115-ref27">27</xref>] or in previous studies [<xref ref-type="bibr" rid="scirp.99115-ref22">22</xref>]. In this study factors associated with hypertension were not statistically significant.</p><p>- HBP prevalence measured using the standards of the French Society of Nephrology was higher than that of the 4th report of the NHBPEP. By the best of our knowledge, there is no study that compared these two methods on the same sample.</p><p>- Our findings put in light the need for close follow up of these children as many studies have demonstrated a tracking of blood pressure in youth to adulthood [<xref ref-type="bibr" rid="scirp.99115-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref28">28</xref>], the presence of organ damage even in this age group [<xref ref-type="bibr" rid="scirp.99115-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.99115-ref30">30</xref>].</p><p>- Our next step is to establish population-based cut-off values for blood pressure and try to find a simplified equation for assessment of blood pressure. This will allow an early detection and therefore proper management of detected high blood pressure pediatric patients.</p>Limits<p>Main limitation of this study was the availability of only blood pressure and a few set of labor tests. Electro- and echocardiography i.e. were not available due to the high costs and also the fact that ECG material was not adapted for most children.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Children must be checked for hypertension to avoid organ damage and later cardiovascular complications. Blood pressure assessment should be preferably done on outpatients allowing an attenuation of the role of the stressful hospitalization environment. Blood pressure measure is always complex leading to an underestimate of its true prevalence and the risk of later complications.</p></sec><sec id="s6"><title>Acknowledgements</title><p>To the staff of the Pediatric Department for successful collaboration.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>No potential conflicts of interest.</p></sec><sec id="s8"><title>Cite this paper</title><p>B&#226;, H.O., Camara, Y., Sangare, I., Belco, M., Mamadou, D., Dembele, A., Hamala, F.C., Mamadou, T., Camara, H., Adama, S., Aladji, T., Samba, S., Noumou, S., Mamadou, D., Thiam, D.C., K&#233;ita, M.A., Massama, K., Boubacar, S., Ichaka, M., Diall, I.B., Boubacar, T. and Bocary, D.M. (2020) Pediatric Hypertension (HTN) Assessed by Various Methods: A Study among Pediatric Inpatients in University Hospital Gabriel Tour&#233; (UH-GT). 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