<?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">ABC</journal-id><journal-title-group><journal-title>Advances in Biological Chemistry</journal-title></journal-title-group><issn pub-type="epub">2162-2183</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/abc.2023.136018</article-id><article-id pub-id-type="publisher-id">ABC-129786</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject></subj-group></article-categories><title-group><article-title>
 
 
  Ionic Disorders Observed in Infants with Severe Wasting at the Yalgado Ouedraogo Teaching Hospital and the Charles de Gaulle Pediatric Teaching Hospital in Ouagadougou, Burkina Faso
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Arnaud</surname><given-names>Kouraogo</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>Fabienne</surname><given-names>Soudre</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>Caroline</surname><given-names>Yonaba Okengo</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>Faouziatou</surname><given-names>Yagui</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>Angele</surname><given-names>Kalmogho</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>Ghislaine</surname><given-names>Yameogo</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>Alice</surname><given-names>Kiba</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>Raoul</surname><given-names>Karfo</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>Ollo</surname><given-names>Da</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>Emmanuel</surname><given-names>Zongo</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>Cherileila</surname><given-names>Thiombiano</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>Fatou</surname><given-names>Gueye Tall</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdoul</surname><given-names>Salam Ouédraogo</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>Sanata</surname><given-names>Bamba</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>Georges</surname><given-names>Anicet Ouédraogo</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>Elie</surname><given-names>Kabré</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>Fla</surname><given-names>Koueta</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>Jean</surname><given-names>Sakande</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Biochemistry Laboratory of Souro Sanou Teaching Hospital, Nazi Boni University, Bobo-Dioulasso, Burkina Faso</addr-line></aff><aff id="aff3"><addr-line>Department of Pharmaceutical Biochemistry, Faculty of Medicine, Pharmacy and Dentistry, Cheikh Anta Diop University, Dakar, Senegal</addr-line></aff><aff id="aff2"><addr-line>Health Sciences Training and Research Unit, Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso</addr-line></aff><pub-date pub-type="epub"><day>04</day><month>12</month><year>2023</year></pub-date><volume>13</volume><issue>06</issue><fpage>247</fpage><lpage>255</lpage><history><date date-type="received"><day>14,</day>	<month>September</month>	<year>2023</year></date><date date-type="rev-recd"><day>11,</day>	<month>December</month>	<year>2023</year>	</date><date date-type="accepted"><day>14,</day>	<month>December</month>	<year>2023</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: A higher risk of death is associated with wasting in children if it is not treated properly. The objective of this study was to investigate the ionic disorders observed in infants suffering from severe wasting at Yalgado Ouedraogo Teaching Hospital (YO-TH) and at Charles de Gaulle Pediatric Teaching Hospital (CDG-PTH) in Ouagadougou (Burkina Faso). 
  Methods: This was a retrospective study with a descriptive and analytical aim over the period from January 1, 2016 to December 31, 2020. 
  Results: It concerned infants aged 6 to 24 months hospitalized at YO-TH and at CDG-PTH from Ouagadougou. We included 271 infants. The mean age of the infants was 14.48 &#177; 5.44 months with 42.07% which was in the age range of [12 - 18] months. On admission to the hospital, the children had an average weight, height and BMI of 6.22 &#177; 1.32 kg, 0.73 &#177; 0.07 m and 11.67 &#177; 1.53 kg/m
  <sup>2</sup>. In urban areas 56.46% of children and the main reasons for consultation were fever (88.19%), vomiting (52.80%) and diarrhea (50.20%). Electrolyte disturbances in emaciated infants affected all 8 parameters of the blood ionogram. However, the major disorders were 65.68% hyponatremia, 55.35% hypobicarbonatemia, 41.33% hypoprotidemia and 32.47% hypokalemia in infants aged 6 to 24 months. We found an association between diarrhea and residence with hypokalemia (p = 0.0000) and hypochloremia (p = 0.010), respectively. 
  Conclusion: Severe acute wasting in infants 6 to 24 months of age remains a concern in the hospital setting. The frequency of biochemical disturbances is also high.
 
</p></abstract><kwd-group><kwd>Severe Wasting</kwd><kwd> Emaciation</kwd><kwd> Infants over 6 - 24 Months</kwd><kwd> Blood Ionogram</kwd><kwd> Burkina Faso</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In Burkina Faso, according to the final report of the SMART 2020 survey, the prevalence of acute malnutrition, chronic malnutrition and severe wasting at the national level were respectively 9.1% (including 1.0% in severe form), 24.9% and 17.6% [<xref ref-type="bibr" rid="scirp.129786-ref2">2</xref>] .</p><p>Severe physio-pathological disorders (hydroelectrolytic disorders) are associated with emaciation. They are the subject of a medical emergency and require rapid and effective treatment. In Burkina Faso, these troubles are poorly studied. Thus, through this study, we propose to evaluate the factors associated with ionic disorders occurring in wasting in infants aged 6 to 24 months hospitalized at the Yalgado Ouedraogo Teaching Hospital (YO-TH) and at the Charles De Gaulle Pediatric Teaching Hospital (CDG PTH). These centers have a Center for Recovery and Nutritional Education (CRNE).</p></sec><sec id="s2"><title>2. Patients and Methods</title><sec id="s2_1"><title>2.1. Type and Study Site</title><p>This was a cross-sectional study with a descriptive and analytical aim; the retrospective collection of which took place from January 1, 2016 to December 31, 2020. The study concerned all infants aged 6 to 24 months hospitalized in Teaching Hospitals Charles De Gaulle and Yalgado Ouedraogo suffering from severe emaciation (low weight/height ratio) and having carried out an extensive complete blood ionogram during hospitalization.</p></sec><sec id="s2_2"><title>2.2. Data Analysis and Processing</title><p>The sociodemographic variables were age, sex, anthropometric data, place of residence and motive for consultation. The biological variables explored were sodium, potassium, chloride, calcium, magnesium, phosphorus, bicarbonate and total protein ions.</p><p>Data collected on a questionnaire were entered from Microsoft Office Excel 2013 software and analyzed with Epi-InfoTM 7 software in version 7.2.0. Bivariate regression analyses were performed to establish a statistical relationship between the variables. For bivariate analysis, measures of association such as Odds Ratio and p-value were performed. The significance level was p &lt; 0.05. Before the beginning of the study, authorization to collect data was obtained from the management of CDG-PTH and YO-TH. Data confidentiality was maintained throughout the study.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Socio-Demographic Characteristics</title><p>Our study included 125 at YO-TH and 146 at CDG-PTH (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>In total, we included 271 infants aged 6 to 24 months in the study. The characteristics of the study population are presented in <xref ref-type="table" rid="table1">Table 1</xref>. The mean age of</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> General characteristics of the study population</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Characteristics</th><th align="center" valign="middle" >Values (N = 271)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Ages (months)</td><td align="center" valign="middle" >6 to 11</td><td align="center" valign="middle" >93 (34.32%)</td></tr><tr><td align="center" valign="middle" >12 to 18</td><td align="center" valign="middle" >114 (42.07%)</td></tr><tr><td align="center" valign="middle" >19 to 24</td><td align="center" valign="middle" >64 (23.62%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >158 (58.3%)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >113 (41.7%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Residence</td><td align="center" valign="middle" >Urban area</td><td align="center" valign="middle" >158 (56.46%)</td></tr><tr><td align="center" valign="middle" >Rural area</td><td align="center" valign="middle" >118 (43.54%)</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Reasons for consultation</td><td align="center" valign="middle" >Fever</td><td align="center" valign="middle" >239 (88.19%)</td></tr><tr><td align="center" valign="middle" >Vomiting</td><td align="center" valign="middle" >143 (52.80%)</td></tr><tr><td align="center" valign="middle" >Diarrhea</td><td align="center" valign="middle" >136 (50.20%)</td></tr><tr><td align="center" valign="middle" >Cough</td><td align="center" valign="middle" >102 (37.60%)</td></tr></tbody></table></table-wrap><p>the infants were 14.48 &#177; 5.44 months with 42.07% of them in the age range of [12 - 18] months. On admission to the hospital, the children had a mean weight of 6.22 &#177; 1.32 kg and a height of 0.73 &#177; 0.07 m. Children were from urban settings 56.46% and the main motives for consultation were fever (88.19%), vomiting (52.80%) and diarrhea (50.20%).</p></sec><sec id="s3_2"><title>3.2. Ionic Disorders in Wasted Children</title><p>The mean values of blood ionogram parameters of severely malnourished children are presented in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>Electrolyte disturbances in severely emaciated children affected all 8 parameters of the blood ionogram (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The major disorders were hyponatremia (65.68%), hypobicarbonataemia (55.35%), hypoprotidemia (41.33%) and hypokalaemia (32.47%) in infants aged 6 to 24 months.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Mean values of blood ionogram parameters in severely malnourished children</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Values (m &#177; SD)</th></tr></thead><tr><td align="center" valign="middle" >Natremia (mmol/L)</td><td align="center" valign="middle" >131.84 &#177; 8.55</td></tr><tr><td align="center" valign="middle" >Kalemia (mmol/L)</td><td align="center" valign="middle" >3.95 &#177; 1.11</td></tr><tr><td align="center" valign="middle" >Chloremia (mmol/L)</td><td align="center" valign="middle" >98.68 &#177; 12.65</td></tr><tr><td align="center" valign="middle" >Calcemia (mmol/L)</td><td align="center" valign="middle" >2.27 &#177; 0.40</td></tr><tr><td align="center" valign="middle" >Magnesemia (mmol/L)</td><td align="center" valign="middle" >0.90 &#177; 0.27</td></tr><tr><td align="center" valign="middle" >Phosphoremia (mmol/L)</td><td align="center" valign="middle" >1.87 &#177; 5.53</td></tr><tr><td align="center" valign="middle" >Bicarbonatemia (mmol/L)</td><td align="center" valign="middle" >17.05 &#177; 5.28</td></tr><tr><td align="center" valign="middle" >Protidemia (g/L)</td><td align="center" valign="middle" >64.67 &#177; 12.00</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Bivariate Analysis</title><p>In terms of factors associated with ionic disorders, we found that hypokalemia was statistically associated with diarrhea (OR = 3.44; 95% CI: 1.99 - 5.94, p-value = 0.000) (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>In addition, rural residence (urban or rural), was significantly associated with</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Sociodemographic characteristics and reasons for consultation associated with hypokalemia in univariate</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Characteristics</th><th align="center" valign="middle"  rowspan="2"  >N</th><th align="center" valign="middle"  colspan="2"  >Hypokalemia</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  rowspan="2"  >IC<sup>95</sup></th><th align="center" valign="middle"  rowspan="2"  >p-value</th></tr></thead><tr><td align="center" valign="middle" >Yes n (%)</td><td align="center" valign="middle" >No n (%)</td></tr><tr><td align="center" valign="middle" >Sexe</td><td align="center" valign="middle" >268</td><td align="center" valign="middle" >87 (32.5)</td><td align="center" valign="middle" >181 (67.5)</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" >Male</td><td align="center" valign="middle" >157</td><td align="center" valign="middle" >48 (30.6)</td><td align="center" valign="middle" >109 (69.4)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >111</td><td align="center" valign="middle" >39 (35.1)</td><td align="center" valign="middle" >72 (64.9)</td><td align="center" valign="middle" >1.2300</td><td align="center" valign="middle" >0.7336 - 2.0624</td><td align="center" valign="middle" >0.4324</td></tr><tr><td align="center" valign="middle" >Age (months)</td><td align="center" valign="middle" >269</td><td align="center" valign="middle" >88 (32.7)</td><td align="center" valign="middle" >181 (67.3)</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" >6 to 12</td><td align="center" valign="middle" >121</td><td align="center" valign="middle" >41 (33.9)</td><td align="center" valign="middle" >80 (66.1)</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" >12 to 24</td><td align="center" valign="middle" >148</td><td align="center" valign="middle" >47 (31.76)</td><td align="center" valign="middle" >101 (68.24)</td><td align="center" valign="middle" >0.9075</td><td align="center" valign="middle" >0.5443 - 1.5131</td><td align="center" valign="middle" >0.7114</td></tr><tr><td align="center" valign="middle" >Residence</td><td align="center" valign="middle" >252</td><td align="center" valign="middle" >86 (34.1)</td><td align="center" valign="middle" >166 (65.9)</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" >Urban area</td><td align="center" valign="middle" >153</td><td align="center" valign="middle" >54 (35.3)</td><td align="center" valign="middle" >99 (64.7)</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" >Rural area</td><td align="center" valign="middle" >99</td><td align="center" valign="middle" >32 (32.3)</td><td align="center" valign="middle" >67 (67.7)</td><td align="center" valign="middle" >0.8845</td><td align="center" valign="middle" >0.5177 - 1.5112</td><td align="center" valign="middle" >0.6533</td></tr><tr><td align="center" valign="middle" >Mother</td><td align="center" valign="middle" >268</td><td align="center" valign="middle" >88 (32.8)</td><td align="center" valign="middle" >180 (67.2)</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" >In life</td><td align="center" valign="middle" >263</td><td align="center" valign="middle" >86 (32.7)</td><td align="center" valign="middle" >177 (67.3)</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" >Dead</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >2 (40)</td><td align="center" valign="middle" >3 (60%)</td><td align="center" valign="middle" >1.3721</td><td align="center" valign="middle" >0.2251 - 8.3634</td><td align="center" valign="middle" >0.7316</td></tr><tr><td align="center" valign="middle" >Fever</td><td align="center" valign="middle" >269</td><td align="center" valign="middle" >88 (32.7)</td><td align="center" valign="middle" >181 (67.3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >6 (18.8)</td><td align="center" valign="middle" >26 (81.3)</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" >No</td><td align="center" valign="middle" >237</td><td align="center" valign="middle" >82 (34.6)</td><td align="center" valign="middle" >155 (65.4)</td><td align="center" valign="middle" >2.2925</td><td align="center" valign="middle" >0.9071 - 5.7938</td><td align="center" valign="middle" >0.0795</td></tr><tr><td align="center" valign="middle" >Diarrhea</td><td align="center" valign="middle" >269</td><td align="center" valign="middle" >88 (32.71)</td><td align="center" valign="middle" >181 (67.29)</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" >No</td><td align="center" valign="middle" >133</td><td align="center" valign="middle" >26 (19.55)</td><td align="center" valign="middle" >107 (80.45)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >136</td><td align="center" valign="middle" >62 (45.59)</td><td align="center" valign="middle" >74 (54.41)</td><td align="center" valign="middle" >3.4480</td><td align="center" valign="middle" >1.9985 - 5.9490</td><td align="center" valign="middle" >0.0000</td></tr><tr><td align="center" valign="middle" >Vomiting</td><td align="center" valign="middle" >269</td><td align="center" valign="middle" >88 (32.71)</td><td align="center" valign="middle" >181 (67.29)</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" >No</td><td align="center" valign="middle" >126</td><td align="center" valign="middle" >40 (31.75)</td><td align="center" valign="middle" >86 (68.25)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >48 (33.57)</td><td align="center" valign="middle" >95 (66.43)</td><td align="center" valign="middle" >1.0863</td><td align="center" valign="middle" >0.6516 - 1.8109</td><td align="center" valign="middle" >0.7508</td></tr><tr><td align="center" valign="middle" >Cough</td><td align="center" valign="middle" >269</td><td align="center" valign="middle" >88 (32.7)</td><td align="center" valign="middle" >181 (67.3)</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" >No</td><td align="center" valign="middle" >168</td><td align="center" valign="middle" >60 (35.7)</td><td align="center" valign="middle" >108 (64.3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >28 (27.7)</td><td align="center" valign="middle" >73 (72.3)</td><td align="center" valign="middle" >0.6904</td><td align="center" valign="middle" >0.4032 - 1.1823</td><td align="center" valign="middle" >0.1771</td></tr><tr><td align="center" valign="middle" >Refusal to eat</td><td align="center" valign="middle" >269</td><td align="center" valign="middle" >88 (32.7)</td><td align="center" valign="middle" >181 (67.3)</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" >No</td><td align="center" valign="middle" >253</td><td align="center" valign="middle" >82 (32.4)</td><td align="center" valign="middle" >171 (67.6)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >6 (37.5)</td><td align="center" valign="middle" >10 (62.5)</td><td align="center" valign="middle" >1.2512</td><td align="center" valign="middle" >0.4397 - 3.5605</td><td align="center" valign="middle" >0.6745</td></tr></tbody></table></table-wrap><p>hypochloremia in infants (OR = 2.07; 95% CI: 1, 18 - 2.64, p-value = 0.010) (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The aim of the present study was to investigate disturbances in blood ionograms in infants 6 to 24 months with severe wasting at YO-TH and CDG-PTH. The</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Sociodemographic characteristics and reasons for consultation associated with hypochloremia in univariate analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Characteristics</th><th align="center" valign="middle"  rowspan="2"  >N</th><th align="center" valign="middle"  colspan="2"  >Hypochloremia</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  rowspan="2"  >IC<sup>95</sup></th><th align="center" valign="middle"  rowspan="2"  >p-value</th></tr></thead><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle" >Sexe</td><td align="center" valign="middle" >265</td><td align="center" valign="middle" >74 (27.9)</td><td align="center" valign="middle" >191 (72.1)</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" >Male</td><td align="center" valign="middle" >155</td><td align="center" valign="middle" >39 (25.2)</td><td align="center" valign="middle" >116 (74.8)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >35 (31.8)</td><td align="center" valign="middle" >75 (68.2)</td><td align="center" valign="middle" >1.3880</td><td align="center" valign="middle" >0.8081 - 2.3841</td><td align="center" valign="middle" >0.2348</td></tr><tr><td align="center" valign="middle" >Age (months)</td><td align="center" valign="middle" >266</td><td align="center" valign="middle" >75 (28.2)</td><td align="center" valign="middle" >191 (71.8)</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" >6 to 12</td><td align="center" valign="middle" >123</td><td align="center" valign="middle" >29 (23.6)</td><td align="center" valign="middle" >94 (76.4)</td><td align="center" valign="middle" >0.650</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >12 to 24</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >46 (32.17)</td><td align="center" valign="middle" >97 (67.83)</td><td align="center" valign="middle" >1.537</td><td align="center" valign="middle" >0.8918 - 2.6495</td><td align="center" valign="middle" >0.1217</td></tr><tr><td align="center" valign="middle" >Residence</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >71 (28.4)</td><td align="center" valign="middle" >179 (71.6)</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" >Urban area</td><td align="center" valign="middle" >151</td><td align="center" valign="middle" >34 (22.5)</td><td align="center" valign="middle" >117 (77.5)</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" >Rural area</td><td align="center" valign="middle" >99</td><td align="center" valign="middle" >37 (37.4)</td><td align="center" valign="middle" >62 (62.6)</td><td align="center" valign="middle" >2.0712</td><td align="center" valign="middle" >1.1855 - 3.6185</td><td align="center" valign="middle" >0.0105</td></tr><tr><td align="center" valign="middle" >Mother</td><td align="center" valign="middle" >265</td><td align="center" valign="middle" >74 (27.9)</td><td align="center" valign="middle" >191 (72.1)</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" >In life</td><td align="center" valign="middle" >260</td><td align="center" valign="middle" >71 (27.3)</td><td align="center" valign="middle" >189 (72.7)</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" >Dead</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3 (60)</td><td align="center" valign="middle" >2 (40)</td><td align="center" valign="middle" >3.9930</td><td align="center" valign="middle" >0.6539 - 24.3817</td><td align="center" valign="middle" >0.1337</td></tr><tr><td align="center" valign="middle" >Fever</td><td align="center" valign="middle" >266</td><td align="center" valign="middle" >75 (28.2)</td><td align="center" valign="middle" >191 (71.8)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >8 (25)</td><td align="center" valign="middle" >24 (75)</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" >No</td><td align="center" valign="middle" >234</td><td align="center" valign="middle" >67 (28.6)</td><td align="center" valign="middle" >167 (71.4)</td><td align="center" valign="middle" >1.2036</td><td align="center" valign="middle" >0.5150 - 2.8128</td><td align="center" valign="middle" >0.6687</td></tr><tr><td align="center" valign="middle" >Diarrhea</td><td align="center" valign="middle" >266</td><td align="center" valign="middle" >75 (28.20)</td><td align="center" valign="middle" >191 (71.8)</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" >No</td><td align="center" valign="middle" >133</td><td align="center" valign="middle" >34 (25.56)</td><td align="center" valign="middle" >99 (74.44)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >133</td><td align="center" valign="middle" >41 (30.83)</td><td align="center" valign="middle" >92 (69.17)</td><td align="center" valign="middle" >1.2976</td><td align="center" valign="middle" >0.7593 - 2.2177</td><td align="center" valign="middle" >0.3407</td></tr><tr><td align="center" valign="middle" >Vomiting</td><td align="center" valign="middle" >266</td><td align="center" valign="middle" >75 (28.20)</td><td align="center" valign="middle" >191 (71.8)</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" >No</td><td align="center" valign="middle" >124</td><td align="center" valign="middle" >41 (33.06)</td><td align="center" valign="middle" >83 (66.94)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >142</td><td align="center" valign="middle" >34 (23.94)</td><td align="center" valign="middle" >108 (76.0)</td><td align="center" valign="middle" >0.6373</td><td align="center" valign="middle" >0.3725 - 1.0905</td><td align="center" valign="middle" >0.1002</td></tr><tr><td align="center" valign="middle" >Cough</td><td align="center" valign="middle" >266</td><td align="center" valign="middle" >75 (28.2)</td><td align="center" valign="middle" >191 (71.8)</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" >No</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >50 (30.3)</td><td align="center" valign="middle" >115 (69.7)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >25 (24.8)</td><td align="center" valign="middle" >76 (75.2)</td><td align="center" valign="middle" >0.7566</td><td align="center" valign="middle" >0.4318 - 1.3255</td><td align="center" valign="middle" >0.3296</td></tr><tr><td align="center" valign="middle" >Refusal to eat</td><td align="center" valign="middle" >266</td><td align="center" valign="middle" >75 (28.2)</td><td align="center" valign="middle" >191 (71.8)</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" >No</td><td align="center" valign="middle" >249</td><td align="center" valign="middle" >71 (28.5)</td><td align="center" valign="middle" >178 (71.5)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >4 (23.5)</td><td align="center" valign="middle" >13 (76.5)</td><td align="center" valign="middle" >0.7714</td><td align="center" valign="middle" >0.2433 - 2.4457</td><td align="center" valign="middle" >0.6593</td></tr></tbody></table></table-wrap><p>main limit in this study was the retrospective data collection with high risk of missing data. Despite this, we were able to include 271 emaciated infants.</p><p>The mean age of the infants was 14.48 &#177; 5.44 months and the 12 - 18-month age group was most affected by severe acute undernutrition (42.07%). This age group is also found in Mali with 49.4% [<xref ref-type="bibr" rid="scirp.129786-ref3">3</xref>] and in Burkina with 51.8% [<xref ref-type="bibr" rid="scirp.129786-ref4">4</xref>] . This high frequency of severe emanciation in this group could be explained by the fact that it is the weaning period for infants therefore food can be insufficient (quantitatively and qualitatively) to cover the growth needs, thus causing nutriments deficiencies and immunodeficiency with a high risk of infections which, in turn, aggravate undernutrition.</p><p>The major ionic disorders were hyponatremia (65.68%), hypobicarbonataemia (55.35%), hypoprotidemia (41.33%) and hypokalaemia (32.47%) in infants aged 6 to 24 months. The high frequency of hyponatremia, hypobicarbonatemia, hypoprotidemia and hypokalaemia is reported by several authors in Guinea [<xref ref-type="bibr" rid="scirp.129786-ref5">5</xref>] , India [<xref ref-type="bibr" rid="scirp.129786-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.129786-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.129786-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.129786-ref9">9</xref>] and in Pakistan [<xref ref-type="bibr" rid="scirp.129786-ref10">10</xref>] . Emaciated infants have profound physiological disturbances, particularly electrolyte imbalances and poor fluid distribution. This modification of the distribution of fluids influences the concentrations of several ions hence hyponatremia, hypokalemia, hypobicarbonatemia, hypoprotidemia [<xref ref-type="bibr" rid="scirp.129786-ref11">11</xref>] . Sodium, chloride and bicarbonate are the main ions contributing to the osmolality of extracellular fluid. Bicarbonate is the major ion that regulates the pH of extracellular fluid. The concentrations of individual ions influence the properties and behavior of excitable membranes such as nerve cells and the performance of many intracellular enzymes.</p><p>In undernutrition conditions, serum electrolytes do not reflect body content but only circulating concentration. Thus, high serum potassium leads to intracellular potassium deficiency while low serum sodium masks sodium overload, but correction of these disorders is important in the immediate treatment of life-threatening situations [<xref ref-type="bibr" rid="scirp.129786-ref12">12</xref>] . A reduction in bicarbonate levels occurred more often in infants with prolonged deterioration and undernutrition.</p><p>A significant association was found between hypokalemia and diarrhea. In severe acute malnutrition with diarrhea, there is a significant risk of fluid and electrolyte disturbances, especially with hyponatremia, hypokalemia and metabolic acidosis [<xref ref-type="bibr" rid="scirp.129786-ref13">13</xref>] . In infants, diarrhea continues to be a serious problem that can be fatal when added to undernutrition.</p><p>Place of residence was statistically associated with hypochloremia. Infants in the rural area were the most susceptible to hypochloremia. This could be explained by a deficit in chloride intake that could be observed in infants receiving chloride-deficient breastmilk substitutes or linked to excessive gastrointestinal and renal losses [<xref ref-type="bibr" rid="scirp.129786-ref14">14</xref>] .</p></sec><sec id="s5"><title>5. Conclusion</title><p>This study demonstrated the extent of major fluid electrolyte disturbances in emaciated infants aged 6 to 24 months. Also, it showed the association of two factors, namely diarrhea and residence which were respectively associated with hypokalemia and hypochloremia. It is concluded that ionic disorders in emaciated infants become evident in the presence of diarrhea and vomiting.</p><p>Prospective cohort follow-up studies will shed more light on the factors associated with metabolic disorders in this 6-to-24-month age group.</p></sec><sec id="s6"><title>Funding</title><p>This study did not receive any specific funding from public, commercial, or nonprofit funding agencies.</p></sec><sec id="s7"><title>Acknowledgments</title><p>Realization of this work benefited from the invaluable support of several people, including of our elders by their accompaniments (Dr. F. Soudre, Dr. C. Yonaba, Dr. A. Kiba, Dr. R. Karfo, Dr. O. Da) and that our masters with their precious advice (Prof. Elie Kabre and Prof. Jean Sakande). May these people find here the expression of my greatest gratitude.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Kouraogo, A., Soudre, F., Okengo, C.Y., Yagui, F., Kalmogho, A., Yameogo, G., Kiba, A., Karfo, R., Da, O., Zongo, E., Thiombiano, C., Tall, F.G., Ou&#233;draogo, A.S., Bamba, S., Ou&#233;draogo, G.A., Kabr&#233;, E., Koueta, F. and Sakande, J. (2023) Ionic Disorders Observed in Infants with Severe Wasting at the Yalgado Ouedraogo Teaching Hospital and the Charles de Gaulle Pediatric Teaching Hospital in Ouagadougou, Burkina Faso. 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