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<article article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JRENHEP</journal-id>
<journal-title-group>
<journal-title>Journal of Renal and Hepatic Disorders</journal-title>
<abbrev-journal-title>JRENHEP</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2207-3744</issn>
<publisher>
<publisher-name>Codon Publications</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JRENHEP-5-050</article-id>
<article-id pub-id-type="doi">10.15586/jrenhep.v5i2.120</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>ORIGINAL ARTICLE NEPHROLOGY</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Kidney Injury in Children Infected with HIV, Followed at the Teaching Hospital of Borgou (Benin): Epidemiological and Clinical Aspects</article-title>
</title-group>
<contrib-group content-type="authors">
<contrib contrib-type="author" corresp="yes"><name><surname>Ahoui</surname> <given-names>S&#x00E9;raphin</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="corresp" rid="cor1"/></contrib> 
<contrib contrib-type="author"><name><surname>Agbeille</surname> <given-names>Falilatou</given-names></name><xref ref-type="aff" rid="aff2">2</xref></contrib> 
<contrib contrib-type="author"><name><surname>Kpanidja</surname> <given-names>Gerard</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib> 
<contrib contrib-type="author"><name><surname>Noudamadjo</surname> <given-names>Alphonse</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib> 
<contrib contrib-type="author"><name><surname>Muriel Fridzie</surname> <given-names>Toutche</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Agboton</surname> <given-names>Bruno Leopold</given-names></name><xref ref-type="aff" rid="aff2">2</xref></contrib>  
<contrib contrib-type="author"><name><surname>Eteka</surname> <given-names>Evariste</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib> 
<contrib contrib-type="author"><name><surname>Vigan</surname> <given-names>Jacques</given-names></name><xref ref-type="aff" rid="aff2">2</xref></contrib> 
<contrib contrib-type="author"><name><surname>Julien Didier</surname> <given-names>Adedemy</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Agossou</surname> <given-names>Joseph</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib>
<aff id="aff1"><label>1</label>Training and Research Unit in Nephrology, Faculty of Medicine, University of Parakou, Republic of Benin;</aff>
<aff id="aff2"><label>2</label>Training and Research Unit in Pediatrics, Faculty of Medicine, University of Parakou, Republic of Benin</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><italic>Author for correspondence</italic>: S&#x00E9;raphin Ahoui, Training and Research Unit in Nephrology, Faculty of Medicine, University of Parakou, Republic of Benin. Emails: <email>drserahoui@gmail.com</email>; <email>serahoui@yahoo.fr</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection"><year>2021</year></pub-date>
<volume>5</volume>
<issue>2</issue>
<fpage>50</fpage>
<lpage>56</lpage>
<history>
<date date-type="received"><day>13</day><month>08</month><year>2021</year></date> 
<date date-type="accepted"><day>28</day><month>09</month><year>2021</year></date> 
</history>
<permissions>
<copyright-statement><italic>Copyright</italic>: Ahoui S, et al.</copyright-statement>
<copyright-year>2021</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This open access article is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">http://creativecommons.org/licenses/by/4.0</ext-link></license-p>
</license>
</permissions>
<abstract>
<p>The history of kidney disease associated with HIV infection dates back to the years of HIV breakthrough. The objective was to study kidney damage in children infected with HIV at the Teaching Hospital of Borgou (Benin) in 2019. This was a cross-sectional, descriptive, analytical, matching-type study carried out from June 1, 2019 to September 30, 2019 at the pediatrics department of Teaching Hospital of Borgou (Benin). The study included HIV-positive children, followed in consultations, and whose parents gave their consent. The biological markers were demon- strated with urine dipstick. Glomerular filtration rate was calculated using the Schwartz test and classified according to stages. The dependent variable was the presence of at least one impairment (biological or functional). Sample size was determined by Schwartz&#x2019;s method on the basis of one case for two controls. Sociodemographic, clinical, biological, and therapeutic data were collected. Comparisons were made using the Chi- square test or Fisher&#x2019;s exact test. The identification of associated factors was possible using a multiple logistic regression model at 5% threshold. In total, we included 117 children, including 39 HIV-positive children. The average age was 8 &#x00B1; 4.81 years and the gender ratio was 1:17. The frequency of kidney damage was 76.5%. Permanent proteinuria and at least two crosses on urine dipstick were present in 20.5%, leukocyturia in 2.6%, and proximal tubular dysfunction in 5.1%. Glomerular hyperfiltration was found in 38.5%, acute kidney injury in 38.5%, and chronic kid- ney injury in 5.1%. Associated factors were age (P = 0.004), presence of opportunistic infections (P = 0.00), and treatment adherence (P = 0.004). Kidney damage is common in HIV-positive children. Careful follow-up is necessary to avoid complications.</p>
</abstract>
<kwd-group>
<kwd>Benin</kwd>
<kwd>HIV-positive</kwd>
<kwd>kidney disease</kwd>
<kwd>pediatrics</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>At the end of 2017, 36.9 million people were living with HIV worldwide (<xref ref-type="bibr" rid="ref1">1</xref>). Every day, some 1500 children aged less than 15 years are infected with HIV. An estimated 90% of them live in Saharan Africa. One in seven persons who die from HIV-related illnesses is a child aged less than 15 years. Glob- ally, HIV is now responsible for 3% of deaths in children aged 5 years and 6% in Sub-Saharan Africa (<xref ref-type="bibr" rid="ref2">2</xref>). In Benin, an estimated 70,000 people were living with HIV, including 6700 children. The history of kidney disease associated with HIV infection dates back to the years of HIV discovery. In 1984, in New York and Miami, clinicians reported the first cases in black adults (<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>). Later in 1989, HIV-related nephropathy was confirmed in children in Miami (<xref ref-type="bibr" rid="ref5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref7">7</xref>). In sub-Saharan Africa, little is known about the extent of kidney damage in HIV infection, especially in children. However, this region could represent the largest HIV infection globally (<xref ref-type="bibr" rid="ref8">8</xref>). In Benin, a 2013 study carried out at the National Teaching Hospital of Cotonou reported a 9.8% frequency of kidney injury in people living with HIV (PLHIV) receiving antiret- roviral treatment (<xref ref-type="bibr" rid="ref9">9</xref>). In Parakou, a study carried out at the teaching hospital of Borgou reported a 44.19% incidence of kidney injury in adult patients on antiretroviral treat- ment (<xref ref-type="bibr" rid="ref10">10</xref>). However, in Benin no study has been conducted on this subject in children infected with HIV. Hence, this study was initiated in 2019 with the objective of studying the frequency and factors associated with kidney damage in chil- dren infected with HIV at the pediatrics department of the Teaching Hospital of Borgou (Benin).</p>
</sec>
<sec id="S2">
<title>Patients and Study Method</title>
<p>This was a prospective and analytically descriptive study, pairing type with a 5-month collection from June 3, 2019 to October 5, 2019 in the pediatrics department of Teaching Hospital of Borgou (Benin). Inclusion criteria was all chil- dren aged 2 to 15 years, infected with HIV naive, followed at the pediatrics ward and whose parents had given their consent. Children followed in the ward for various non-renal conditions and who were not infected with HIV were con- sidered as controls. Matching was made according to gender, ethnicity, parental education, and nutritional status. It was considered a case for two witnesses. The sampling method for cases is an exhaustive census of patients meeting the inclusion criteria despite a minimum size of 33 children, calculated by the Schwartz formula for a frequency of HIV infection at the Pediatrics Department of Ts&#x00E9;vi&#x00E9; University of Lom&#x00E9; to 3.2 for cases (<xref ref-type="bibr" rid="ref11">11</xref>). Regarding the witnesses, two witnesses for one case were chosen from the children admitted to the service for any other non-renal and non-HIV pathology.</p>
<p><italic>The dependent variable</italic> was the presence of renal impair- ment, which could be functional, biological, morphological, and/or anatomoclinical.</p>
<p>Renal failure, glomerular hyperfiltration, and tubular dys- function which appeared during the follow-up were consid- ered as functional renal impairment. Renal failure is defined by a glomerular filtration rate (GFR) of less than 100 mL/ min, calculated according to the Schwartz formula, sim- plified and readjusted in 2009:</p>
<disp-formula id="eq1"><mml:math id="eqn1"><mml:mrow><mml:mi>G</mml:mi><mml:mi>F</mml:mi><mml:mi>R</mml:mi><mml:mtext>&#x00A0;</mml:mtext><mml:mfenced><mml:mrow><mml:mi>m</mml:mi><mml:mi>L</mml:mi><mml:mo>/</mml:mo><mml:mi>min</mml:mi><mml:mo>/</mml:mo><mml:mn>1.73</mml:mn><mml:mtext>&#x00A0;</mml:mtext><mml:msup><mml:mi>m</mml:mi><mml:mn>2</mml:mn></mml:msup></mml:mrow></mml:mfenced><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mn>0.413</mml:mn><mml:mo>&#x00D7;</mml:mo><mml:mi>h</mml:mi><mml:mi>e</mml:mi><mml:mi>i</mml:mi><mml:mi>g</mml:mi><mml:mi>h</mml:mi><mml:mi>t</mml:mi><mml:mtext>&#x00A0;</mml:mtext><mml:mfenced><mml:mrow><mml:mi>i</mml:mi><mml:mi>n</mml:mi><mml:mtext>&#x00A0;cm</mml:mtext></mml:mrow></mml:mfenced></mml:mrow><mml:mrow><mml:mtext>serum&#x00A0;creatinine&#x00A0;</mml:mtext><mml:mfenced><mml:mrow><mml:mi>m</mml:mi><mml:mi>g</mml:mi><mml:mo>/</mml:mo><mml:mi>d</mml:mi><mml:mi>L</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:mfrac><mml:mtext>&#x00A0;</mml:mtext><mml:mfenced><mml:mrow><mml:mn>12</mml:mn></mml:mrow></mml:mfenced></mml:mrow></mml:math></disp-formula>
<p>Glomerular hyperfiltration was defined by GFR &#x003E; 120 mL/min. Biological markers included presence of pro- teinuria, hemoglobinuria or glucosuria on the urine dipstick. Proximal tubular dysfunction retained in front of proteinuria was greater than or equal to a cross and normoglycemic glu- cosuria on the urine dipstick. Morphological involvement was confirmed with change in the size and structure of the kidneys on ultrasound. The morphology was assessed using the Konus et al. scale (<xref ref-type="bibr" rid="ref13">13</xref>). Renal hypertrophy was consid- ered for a kidney size greater than normal according to both height of the children and Konus et al. scale (<xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>Moderate malnutrition is defined by a weight/height ratio and/or a height/age ratio of between &#x2013;3 z-scores to &#x2013;2 z-scores to the median (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>Severe acute malnutrition is defined by a weight/height ratio that is &#x2013;3 z-scores lower than the median or by severe and visible emaciation or by the presence of nutritional edema (<xref ref-type="bibr" rid="ref14">14</xref>). Severe acute malnutrition is complicated if there is severe wasting (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>Sociodemographic, clinical, paraclinical, therapeutic, and evolutionary variables were studied. The data were collected through an individual interview with individual and medical files.</p>
<p>Double data entry was made in the French version of the Epi Data 7.2.3.1 software after each monitoring period. These data were then analyzed using SPSS 24 and Stata 13 software.</p>
<p>The averages are presented with their standard deviation values and the proportions/frequencies of quantitative vari- ables. The measure of association used was the odds ratio (OR). Statistically, Chi-square test, Fischer exact test, or Yates-correction Chi-square test were used as appropriate to determine the degree of significance of association (P-value). A multivariate analysis by logistic regression by carrying out successive descending step-by-step iterations was carried out to identify the factors associated with the occurrence of kid- ney damage. The significance level was set at 0.05. The pres- ent work was a research study of the Faculty of Medicine of the University of Parakou, and it obtained the approval of the ethics and professional conduct committee. Following verbal consent of parents, the rules of human dignity, ano- nymity, and confidentiality were respected.</p>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<p>For this case-control study, 39 children living with HIV were included as HIV-positive patients and 78 children included as controls (HIV-negative), that is, one case for two controls.</p>
<sec id="S3_1">
<title><italic>Sociodemographic characteristics of HIV-positive subjects</italic></title>
<p>The average age was 8 years (&#x00B1;4.81 years) in HIV-positive subjects. The most represented age group was that of 5&#x2013;10 years, that is, 38.5%. Male subjects were 21 (53.8%) with a gender ratio of 1:17 (<xref ref-type="table" rid="T1">Table 1</xref>). Of the 39 infected children surveyed, 38 (97.4%) were from Beninese and 61.7% resided within 5 km of the Borgou Regional Teaching Hospital (CHUD/B). Among infected children, 33.3% had maternal and 20.5% paternal deaths.</p>
<table-wrap id="T1" orientation="portrait" position="float">
<label>Table 1:</label><caption><p>Clinical and therapeutical characteristics of HIV- positive subjects (n = 39).</p></caption>
<table frame="border" rules="all">
<thead valign="top">
<tr>
<th></th>
<th>Number</th>
<th>Percentage</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="3"><bold>Reason for admission</bold></td>
</tr>
<tr>
<td>Routine consultation</td>
<td align="center">29</td>
<td>74.4</td>
</tr>
<tr>
<td>Consultation for symptoms</td>
<td align="center">05</td>
<td>12.8</td>
</tr>
<tr>
<td>Other reasons</td>
<td align="center">05</td>
<td>12.8</td>
</tr>
<tr>
<td colspan="3"><bold>Background</bold></td> 
</tr>
<tr>
<td>No.</td>
<td align="center">38</td>
<td>97.4</td>
</tr>
<tr>
<td>Asthma</td>
<td align="center">01</td>
<td>2.6</td>
</tr>
<tr>
<td colspan="3"><bold>Nutritional status</bold></td>
</tr>
<tr>
<td>Good nutritional status</td>
<td align="center">30</td>
<td>76.9</td>
</tr>
<tr>
<td>Moderate acute malnutrition</td>
<td align="center">05</td>
<td>12.8</td>
</tr>
<tr>
<td>Uncomplicated severe acute malnutrition</td>
<td align="center">02</td>
<td>5.1</td>
</tr>
<tr>
<td>Severe acute malnutrition with complication</td>
<td align="center">02</td>
<td>5.1</td>
</tr>
<tr>
<td colspan="3"><bold>General condition</bold></td> 
</tr>
<tr>
<td>Stage I</td>
<td align="center">26</td>
<td>66.7</td>
</tr>
<tr>
<td>Stage II</td>
<td align="center">12</td>
<td>30.8</td>
</tr>
<tr>
<td>Stage IV</td>
<td align="center">01</td>
<td>2.5</td>
</tr>
<tr>
<td colspan="3"><bold>Clinical state</bold></td>
</tr>
<tr>
<td>Normal</td>
<td align="center">32</td>
<td>82.0</td>
</tr>
<tr>
<td>Opportunistic infections</td>
<td align="center">02</td>
<td>5.1</td>
</tr>
<tr>
<td>Other ailments</td>
<td align="center">04</td>
<td>12.9</td>
</tr>
<tr>
<td colspan="3"><bold>Immunological deficiency</bold></td>
</tr>
<tr>
<td>Not significant</td>
<td align="center">27</td>
<td>67.23</td> 
</tr>
<tr>
<td>Way</td>
<td align="center">03</td>
<td>7.69</td> 
</tr>
<tr>
<td>Important</td>
<td align="center">04</td>
<td>10.26</td> 
</tr>
<tr>
<td>Severe</td>
<td align="center">05</td>
<td>12.82</td> 
</tr>
<tr>
<td colspan="3"><bold>Therapeutic data</bold></td>
</tr>
<tr>
<td><bold>On antiretroviral therapy</bold></td>
<td align="center">25</td>
<td>64.10</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3_2">
<title><italic>Clinical characteristics of HIV-positive subjects</italic></title>
<p>The majority of patients were admitting through HIV-pos- itive consultations (74.4%). Most of them had no specific medical history (97.4%). More than three of the four sub- jects (76.9%) were in good nutritional status. However, 12.8% presented with Moderate Acute Malnutrition (MAM), 5.1% with Uncomplicated Severe Acute Malnutrition (UcSAM), and 5.1% with Severe Acute Malnutrition with Complication (SAMC).</p>
<p>In relation to the general condition, 66.7%, 30.8%, and 2.5% of children were, respectively, found in stage I, II, and IV. Of the 39 subjects, a significant and severe immunolog- ical deficit was found in 10.26% and 12.82%, respectively (<xref ref-type="table" rid="T2">Table 2</xref>). Of the 39 HIV-positive subjects, 25 (83.3%) were on antiretroviral therapy.</p>
<table-wrap id="T2" orientation="portrait" position="float">
<label>Table 2:</label><caption><p>Renal impairment in HIV-positive subjects included in the study.</p></caption>
<table frame="border" rules="all">
<thead valign="top">
<tr>
<th></th>
<th align="center">Number (N)</th>
<th align="center">Percentage (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="3"><bold>Renal markers</bold></td>
</tr>
<tr>
<td colspan="3"><bold>Proteinuria</bold></td>
</tr>
<tr>
<td>Negative</td>
<td align="center">31</td>
<td align="center">79.5</td>
</tr>
<tr>
<td>Positive</td>
<td align="center">8</td>
<td align="center">20.5</td>
</tr>
<tr>
<td colspan="3"><bold>Leucocyturia</bold></td>
</tr>
<tr>
<td>Negative</td>
<td align="center">38</td>
<td align="center">97.4</td>
</tr>
<tr>
<td>Positive</td>
<td align="center">01</td>
<td align="center">2.6</td>
</tr>
<tr>
<td colspan="3"><bold>Hemoglobinuria</bold></td>
</tr>
<tr>
<td>Negative</td>
<td align="center">39</td>
<td align="center">100</td>
</tr>
<tr>
<td colspan="3"><bold>Glycosuria</bold></td>
</tr>
<tr>
<td>Negative</td>
<td align="center">37</td>
<td align="center">94.9</td>
</tr>
<tr>
<td>Positive</td>
<td align="center">02</td>
<td align="center">5.1</td>
</tr>
<tr>
<td><bold>Proximal tubular dysfunction</bold></td>
<td align="center">02</td>
<td align="center">5.1</td>
</tr>
<tr>
<td colspan="3"><bold>Morphological disorders</bold></td>
</tr>
<tr>
<td colspan="3"><bold>Kidney size</bold></td>
</tr>
<tr>
<td>Normal</td>
<td align="center">31</td>
<td align="center">79.5</td>
</tr>
<tr>
<td>Increased</td>
<td align="center">08</td>
<td align="center">20.5</td>
</tr>
<tr>
<td colspan="3"><bold>Echostructure</bold></td>
</tr>
<tr>
<td>Echogenic iso cortex</td>
<td align="center">29</td>
<td align="center">73.9</td>
</tr>
<tr>
<td>Hyperechoic cortex</td>
<td align="center">10</td>
<td align="center">26.1</td>
</tr>
<tr>
<td>Cortico-medullary differentiation preserved</td>
<td align="center">39</td>
<td align="center">100</td>
</tr>
<tr>
<td colspan="3"><bold>Functional renal impairment</bold></td>
</tr>
<tr>
<td>Acute kidney injury</td>
<td align="center">13</td>
<td align="center">33.3</td>
</tr>
<tr>
<td>Chronic renal failure</td>
<td align="center">02</td>
<td align="center">5.1</td>
</tr>
<tr>
<td colspan="3"><bold>Glomerular filtration rate</bold></td>
</tr>
<tr>
<td>Glomerular hyperfiltration</td>
<td align="center">15</td>
<td align="center">38.5</td>
</tr>
<tr>
<td>Normal kidney function</td>
<td align="center">09</td>
<td align="center">23.1</td>
</tr>
<tr>
<td>Mild renal failure</td>
<td align="center">13</td>
<td align="center">33.3</td>
</tr>
<tr>
<td>Preterminal renal failure</td>
<td align="center">02</td>
<td align="center">2.5</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
</sec>
<sec id="S4">
<title>Renal Disorders</title>
<sec id="S4_1">
<title><italic>Renal markers</italic></title>
<p>On the urine dipstick, of the 39 HIV-positive patients, pro- teinuria, leukocyturia, hemoglobinuria, and glucosuria were found in 20.5%, 2.6%, 0%, and 5.1%, respectively. Proximal tubular dysfunction was found in 5.1% of patients.</p>
</sec>
<sec id="S4_2">
<title><italic>Morphological markers of HIV-positive subjects</italic></title>
<p>Of the 39 HIV-positive children, 20.5% had enlarged kidneys and 25.64% had a hyperechoic cortex despite the cortico-medullary differentiation preserved in 100%.</p>
</sec>
<sec id="S4_3">
<title><italic>Functional renal impairment</italic></title>
<p>Of the 39 HIV-positive subjects, 33.3% and 5.1% presented with acute renal failure and chronic renal failure, respectively.</p>
<p>In relation to glomerular filtration rate, glomerular hyper- filtration, mild renal failure, and preterminal renal failure were found in 38.5%, 33.3%, and 5.1%, respectively (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
<sec id="S4_4">
<title><italic>Identification of HIV-related kidney damage</italic></title>
<p>Renal impairment statistically related to HIV in infected subjects were proteinuria (P = 0.00), mild renal failure (P = 0.01), and glomerular hyperfiltration (P = 0.00) (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" orientation="portrait" position="float">
<label>Table 3:</label><caption><p>Renal impairment associated with HIV in the subjects included in the study.</p></caption>
<table frame="border" rules="all">
<thead valign="top">
<tr>
<th></th>
<th rowspan="2">Total<break/>N (117)</th>
<th colspan="2">HIV+</th>
<th colspan="2">HIV&#x2013;</th>
<th rowspan="2">OR</th>
<th rowspan="2">[IC 95%]</th>
<th rowspan="2">P</th>
</tr>
<tr>
<th></th>
<th>n (39)</th>
<th>%</th>
<th>n (78)</th>
<th>%</th>
</tr></thead>
<tbody valign="top">
<tr>
<td><bold>Dipstick</bold></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td><bold>Proteinuria</bold></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center">63.0</td>
<td align="center">3.86&#x2013;1030</td>
<td align="center"><bold>0.00</bold></td>
</tr>
<tr>
<td>Negative</td>
<td align="center">109</td>
<td align="center">31</td>
<td align="center">79.5</td>
<td align="center">78</td>
<td align="center">100</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td>Positive</td>
<td align="center">8</td>
<td align="center">8</td>
<td align="center">20.5</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">&#x2014;</td>
<td align="center">-</td>
<td align="center"></td>
</tr>
<tr>
<td><bold>Leucocyturia</bold></td>
<td align="center">0.8</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td>Negative</td>
<td align="center">115</td>
<td align="center">38</td>
<td align="center">97.4</td>
<td align="center">77</td>
<td align="center">98.7</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td>Positive</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">2.6</td>
<td align="center">1</td>
<td align="center">1.3</td>
<td align="center">2.0</td>
<td align="center">-</td>
<td align="center"></td>
</tr>
<tr>
<td><bold>Hemoglobinuria</bold></td>
<td align="center">1</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td>Negative</td>
<td align="center">117</td>
<td align="center">39</td>
<td align="center">100</td>
<td align="center">78</td>
<td align="center">100</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td>Positive</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center"></td>
</tr>
<tr>
<td><bold>Functional renal impairment</bold></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td>Acute kidney injury</td>
<td align="center">59</td>
<td align="center">13</td>
<td align="center">33.3</td>
<td align="center">46</td>
<td align="center">59.0</td>
<td align="center">0.7</td>
<td align="center">0.3&#x2013;1.8</td>
<td align="center"><bold>0.01</bold></td>
</tr>
<tr>
<td>Chronic kidney desease</td>
<td align="center">8</td>
<td align="center">2</td>
<td align="center">5.1</td>
<td align="center">6</td>
<td align="center">7.7</td>
<td align="center">0.81</td>
<td align="center">0&#x2013;4.4</td>
<td align="center">0.70</td>
</tr>
<tr>
<td><bold>Glomerular fitration rate</bold></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td>End-stage renal disease</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">1.3</td>
<td align="center">0.72</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td>Preterminal renal failure</td>
<td align="center">7</td>
<td align="center">2</td>
<td align="center">5.1</td>
<td align="center">5</td>
<td align="center">6.4</td>
<td align="center">0.98</td>
<td align="center">0.2&#x2013;5.4</td>
<td align="center">0.89</td>
</tr>
<tr>
<td>Mild renal failure</td>
<td align="center">59</td>
<td align="center">13</td>
<td align="center">33.3</td>
<td align="center">46</td>
<td align="center">59.0</td>
<td align="center">0.7</td>
<td align="center">0.3&#x2013;1.8</td>
<td align="center"><bold>0.01</bold></td>
</tr>
<tr>
<td>Normal kidney function</td>
<td align="center">31</td>
<td align="center">9</td>
<td align="center">23.1</td>
<td align="center">22</td>
<td align="center">28.2</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.55</td>
</tr>
<tr>
<td>Glomerular hyperfiltration</td>
<td align="center">19</td>
<td align="center">15</td>
<td align="center">38.5</td>
<td align="center">4</td>
<td align="center">5.1</td>
<td align="center">9.2</td>
<td align="center">2.5&#x2013;33.8</td>
<td align="center"><bold>0.00</bold></td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S4_5">
<title><italic>Multivariate analysis</italic></title>
<p>In addition, there was an association between renal hypertro- phy and glomerular hyperfiltration (P = 0.03) (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap id="T4" orientation="portrait" position="float">
<label>Table 4:</label><caption><p>Association between renal hypertrophy and glomerular hyperfiltration in HIV+ subjects included in the study.</p></caption>
<table frame="border" rules="all">
<thead valign="top">
<tr>
<th></th>
<th colspan="2">Hyperfiltration</th>
<th colspan="2">No hyperfiltration</th>
<th>OR</th>
<th>IC</th>
<th>P</th>
</tr>
<tr>
<th></th>
<th>n = 11</th>
<th>%</th>
<th>n = 12</th>
<th>%</th>
<th></th>
<th></th>
<th></th>
</tr></thead>
<tbody valign="top">
<tr>
<td><bold>Renal hypertrophy</bold></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"><bold>0.03</bold></td>
</tr>
<tr>
<td>Yes</td>
<td align="center">4</td>
<td align="center">36.4</td>
<td align="center">1</td>
<td align="center">8.3</td>
<td align="center">0.14</td>
<td align="center">0.003&#x2013;1.11</td>
<td align="center"></td>
</tr>
<tr>
<td>No</td>
<td align="center">7</td>
<td align="center">63.6</td>
<td align="center">11</td>
<td align="center">91.7</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</tbody>
</table></table-wrap>
</sec>
</sec>
<sec id="S5" sec-type="discussion">
<title>Discussion</title>
<p>Our study is the first one carried out on the subject at the pediatrics department of Teaching Hospital of Borgou (Benin). This was a case-contro study matched by gender, ethnicity, parents&#x2019; level of education, and nutritional status, which made it possible to recruit all infected and uninfected children who came to consult in this service and fulfilled the inclusion criteria. In addition to serum creatinine, we included proteinuria, hematuria, and leukocyturia as bio- logical markers, already used in other studies (<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>). The validity of these parameters is questionable for chronic kid- ney disease but easy to use. To avoid possible errors, we con- sidered subjects with two crosses and more for proteinuria and one cross and more for hematuria. Small sample size was a limitation of our study. It would have been particu- larly interesting to measure certain additional parameters, such as serum calcium, for the evaluation of renal damage, and other markers of proximal tubular dysfunction, namely, phosphoremia, phosphaturia, aminoaciduria, etc. The renal biopsy was not performed to better assess the pathological damage. Incidentally, kidney biopsy is not performed in our country. It is a capital exploration for diagnosis and thera- peutic evaluation.</p>
<sec id="S5_1">
<title><italic>Sociodemographic characteristics</italic></title>
<p>Most of the children included in our study were males, with an overall gender ratio of 1:21, that is, 1:17 in HIV-posi- tive subjects and 1:23 in uninfected subjects (controls), thus 53.2% males in HIV-positive and 55.1% in HIV-negative groups. Soumana et al. (<xref ref-type="bibr" rid="ref17">17</xref>) had also found a male predom- inance with a gender ratio of 1:6, close to ours, in chil- dren infected with HIV. In contrast, Mfutu Ekulu et al. (<xref ref-type="bibr" rid="ref8">8</xref>) reported a predominance of females with 49.5% of males in infected children and 46.2% in uninfected children. The aver- age age was 8 years (&#x00B1;4.81 years) in HIV-positive subjects. On the other hand, in Kinshasa, Congo, the median ages were 76 months or 6 years in infected children and 96 months or 8 years in uninfected children. Given the significant difference in parental status between infected and uninfected children with 33.3% maternal deaths in infected children and 0% (P = 0.00) in uninfected children, it was deduced that mother-to- child transmission was the major mode of transmission in these children, which agreed with Soumana et al. (<xref ref-type="bibr" rid="ref17">17</xref>).</p>
</sec>
<sec id="S5_2">
<title><italic>Kidney damage</italic></title>
<p>Renal damage in HIV infection is manifold in terms of its onset, its course, and the involved renal structures. In the black race, HIV-associated nephropathy (HIVAN) is the most common condition, marked by a gradual progres- sion to end-stage renal disease. It begins with glomerular hyperfiltration, which most often goes unnoticed (<xref ref-type="bibr" rid="ref18">18</xref>). It is a compensatory mechanism of the body in the face of neph- ronic reduction, which is accompanied by the hypertrophy of the remaining healthy nephrons. It is secondary to vasodi- lation of afferent arterioles and vasoconstriction of efferent arterioles (<xref ref-type="bibr" rid="ref19">19</xref>). This glomerular hyperfiltration was found in our study in subjects infected with HIV (38.5%), while in uninfected subjects, it was 5.1% (P = 0.00). Even though the literature is poor with regard to glomerular hyperfiltration in children infected with HIV, its mechanism remains the same as that found in glomerular nephropathy and even in diabetic nephropathy and sickle cell patients (<xref ref-type="bibr" rid="ref20">20</xref>). It was, nevertheless, confirmed by renal ultrasound that renal hypertrophy was significantly linked to glomerular hyperfiltration, 26.1% (P = 0.03) in children infected, with HIV with a hyperechoic cor- tex in 21.7% of them as described by Geoffray et al. (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p>It remains important to emphasize this phenomenon in order to avoid the occurrence of the main manifestation of nephropathy linked to HIV. This produces a nephrotic syndrome which was found in 2.9% in the entire group of children infected with HIV by Mfutu Ekulu et al. (<xref ref-type="bibr" rid="ref8">8</xref>) with similar results in the study conducted by Chaparro et al. (<xref ref-type="bibr" rid="ref22">22</xref>). While none of the infected children in our study presented with nephrotic syndrome, this discrepancy could then be explained by the small size of our sample. The direct role of virus and its proteins and that of certain genes on glo- merular, tubular, and parietal epithelial cells is cited in the pathogenesis of lesions that lead to proteinuria (<xref ref-type="bibr" rid="ref23">23</xref>). Pro- teinuria remains the most reliable diagnostic factor in the definitive diagnosis of HIV-related kidney damage based on histopathological examination (<xref ref-type="bibr" rid="ref24">24</xref>). Particular attention must therefore be paid to its evaluation in the management of children infected with HIV. In this regard, the protocol for the management of renal impairment during HIV infec- tion, developed by the American Society for Infectious Dis- eases (IDSA) (<xref ref-type="bibr" rid="ref25">25</xref>), recommends regular screening for signs of kidney damage, including proteinuria, upon diagnosis of HIV infection. This strategy, aimed at early diagnosis and management, may help to slow the progression of end stage kidney disease. This is strongly recommended in Saha- ran Africa countries with limited resources. The prevalence of proteinuria in our study was 20.5% in infected children and 0% in uninfected children; this is the same (23.8%) in infected subjects compared with 4.3% in uninfected children found in Kinshasa, Congo (<xref ref-type="bibr" rid="ref8">8</xref>). This shows the importance of instituting a low-salt and hypoproteinuric diet in these children. The frequency of renal failure in children infected with HIV was (38.5%) close to that found in Parakou, Benin among PLWHIV using tenofovir (44.2%) (<xref ref-type="bibr" rid="ref10">10</xref>). In children not infected with HIV, we found that 59% had acute renal failure because of various ailments presented during hos- pitalization; however, this rate was very high compared to Tondi et al. (<xref ref-type="bibr" rid="ref26">26</xref>), who found 5.8% among children hospital- ized in Niger. This discrepancy is explained by the size of our sample, which was 200 times smaller than theirs. However, it emerges that the renal assessment must be requested in all children hospitalized for other than kidney disease. Several authors (<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref17">17</xref>) have found severe immunosuppression at clinical stage as a determining factor, which was not the case in our study, and the reason remains unknown to us.</p>
</sec>
</sec>
<sec id="S6" sec-type="conclusions">
<title>Conclusion</title>
<p>Hyperfiltration and markers of renal damage such as pro- teinuria and leukocyturia were the hallmarks of kidney damage in HIV-infected children monitored at CHUD Bor- gou/Alibori in Parakou. These results could be used after validation for the implementation of renal protection and prevention measures in children infected with HIV in order to preserve their renal capital.</p></sec>
</body>
<back>
<fn-group>
<fn id="fn1"><p><italic>How to cite</italic>: Ahoui S, et al. Kidney Injury in Children Infected with HIV, Followed at the Teaching Hospital of Borgou (Benin): Epidemiological and Clinical Aspects. J Ren Hepat Disord. 2021;5(2): 50&#x2013;56.</p></fn></fn-group>
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