<?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">
    ojneph
   </journal-id>
   <journal-title-group>
    <journal-title>
     Open Journal of Nephrology
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2164-2842
   </issn>
   <issn publication-format="print">
    2164-2869
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/ojneph.2025.153039
   </article-id>
   <article-id pub-id-type="publisher-id">
    ojneph-145834
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Medicine 
     </subject>
     <subject>
       Healthcare
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Postpartum Acute Renal Failure: Experience of the Maternity Ward at the Ziguinchor Regional Hospital Center over a 3-Year Period
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Mamadou Aw
      </surname>
      <given-names>
       Ba
      </given-names>
     </name>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Cheikh Ahmed Tidjiane
      </surname>
      <given-names>
       Koulibaly
      </given-names>
     </name>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Yaya
      </surname>
      <given-names>
       Kane
      </given-names>
     </name>
    </contrib>
   </contrib-group> 
   <aff id="affnull">
    <addr-line>
     aNephrology and Hemodialysis Department, Ziguinchor Regional Hospital Center, Assane Seck University of Ziguinchor, Ziguinchor, Senegal
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     25
    </day> 
    <month>
     07
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    03
   </issue>
   <fpage>
    414
   </fpage>
   <lpage>
    422
   </lpage>
   <history>
    <date date-type="received">
     <day>
      27,
     </day>
     <month>
      August
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      19,
     </day>
     <month>
      August
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      19,
     </day>
     <month>
      September
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © 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>
    <b>Introduction:</b> Postpartum acute renal failure (PP-AKI) is responsible for significant maternal and fetal morbidity and mortality. It remains very high in developing countries, where it is around 15% to 20%. The objectives of our study were to determine the prevalence and the epidemiological, clinical, therapeutic, and evolutionary aspects of Postpartum acute renal failure. 
    <b>Patients and </b>
    <b>Methods</b>
    <b>:</b> This was a retrospective descriptive and analytical study covering a three-year period (January 1, 2019, to December 31, 2021) conducted at the maternity ward of the Ziguinchor Regional Hospital. The study included all records of patients admitted to the maternity ward in the postpartum period who presented with acute renal failure. The KHI2 test or FISHER test was used to study the correlation of each element with mortality. 
    <b>Results:</b> Eighty-one patients were included during the study period, representing a hospital prevalence of 5.08%. The average age of the patients was 28.19 years. High blood pressure was noted at 50.6%, and herbal medicine was used at 25.9%. The average number of pregnancies and births was 3 each. Prenatal consultations were performed in 28.9% of cases. The average blood urea level was 0.87 g/L, and the average creatinine level was 35.5 mg/L. Retroplacental hematoma was the most common etiological factor in 27.2% of cases, followed by preeclampsia in 24.7%. The outcome was favorable, with complete recovery in 66.7%, partial recovery in 8.7%, and no recovery in 2.5%. Death occurred in 24.6% of cases. Preeclampsia, altered consciousness, respiratory distress, and anuria were significantly associated with maternal mortality. 
    <b>Conclusion:</b> The prevalence of PP-AKI remains low in our study. It is a factor in maternal and fetal morbidity and mortality. The factors associated with this mortality have been identified. Hence, the importance of good prevention.
   </abstract>
   <kwd-group> 
    <kwd>
     AKI
    </kwd> 
    <kwd>
      Postpartum
    </kwd> 
    <kwd>
      Ziguinchor
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Postpartum acute renal failure (PP-AKI) is defined as the onset of renal failure in the period from delivery to three months postpartum <xref ref-type="bibr" rid="scirp.145834-1">
     [1]
    </xref>. It is caused by several factors, including preeclampsia (with or without HELLP syndrome), following an obstetric catastrophe (such as retroplacental hematoma (RPH), intrauterine fetal death (IUFD), placenta previa, uterine rupture, amniotic fluid embolism, postpartum hemorrhage), pyelonephritis, or pregnancy-related hepatic steatosis <xref ref-type="bibr" rid="scirp.145834-2">
     [2]
    </xref>.</p>
   <p>It is responsible for significant maternal and fetal morbidity and mortality. Its prevalence varies from year to year, but it also depends on the socioeconomic status of countries. This prevalence has fallen dramatically over the past 20 years in developed countries with improvements in care, particularly resuscitation. However, it remains very high in developing countries, where it is around 15% to 20% <xref ref-type="bibr" rid="scirp.145834-3">
     [3]
    </xref>.</p>
   <p>Globally, prevalence data cannot be interpreted without taking into account the geographical context in which they were collected <xref ref-type="bibr" rid="scirp.145834-4">
     [4]
    </xref>.</p>
   <p>In France, PP-AKI has become an exceptional complication of pregnancy. It now accounts for only a tiny percentage of AKI in adults (less than 1.5% in the 1990s and 2000s, compared with 20% - 50% in the 1950s and 1970s) <xref ref-type="bibr" rid="scirp.145834-2">
     [2]
    </xref>. In Brazil, the prevalence in 2009 was 0.08%.</p>
   <p>In Africa, although the prevalence of PP-AKI remains high, few studies have been conducted. In South Africa, Randeree et al. found a prevalence of 16% <xref ref-type="bibr" rid="scirp.145834-5">
     [5]
    </xref>. In Niger, Tondi et al. found a prevalence of 14.95% in 2016 at the ISSAKA GAZOBY maternity hospital in Niamey <xref ref-type="bibr" rid="scirp.145834-6">
     [6]
    </xref>. In Senegal, two studies at HALD and Ziguinchor found prevalences of 4.65% <xref ref-type="bibr" rid="scirp.145834-7">
     [7]
    </xref> and 13.54% <xref ref-type="bibr" rid="scirp.145834-8">
     [8]
    </xref>.</p>
  </sec><sec id="s2">
   <title>2. Patients and Methods</title>
   <p>This was a retrospective descriptive and analytical study covering a three-year period from January 1, 2019, to December 31, 2021, at the maternity ward of the Ziguinchor Regional Hospital Center. The records of patients admitted to the maternity ward in the postpartum period and presenting with acute renal failure, with a usable record, were included in the study. A data collection form was created, and data were collected from the hospitalization registry, medical records, biological monitoring sheets, and prescription forms. The form provided information on identity (age, geographical origin, etc.), comorbidities (high blood pressure (HBP), diabetes, herbal medicine use, gestation, parity, number of abortions, eclampsia, preeclampsia, HRP, placenta previa, etc.), clinical signs (clinical anemia, acute uremic syndrome, anuria, jaundice, etc.), biological data (hemoglobin level, creatinine level with GFR calculation according to MDRD, 24-hour proteinuria, etc.), radiological data (renal ultrasound to assess size and differentiation, etc.), etiological data (postpartum hemorrhage, infection, etc.) and therapeutic data (conservative treatment, dialysis, etc.) and evolutionary data (maternal and fetal prognosis with favorable (partial or total recovery) or unfavorable (progression to chronicity) or death).</p>
   <p>The definition of AKI according to the 2012 KDIGO classification was used, taking into account creatinine levels and urine output.</p>
   <p>Data entry and processing of tables and figures were performed using MICROSOFT Word and Excel 2013© software. Data analysis was performed using Epi Info version 7.2.5.0 software. The analytical study was performed using cross-tabulation. To study the correlation of each element with mortality, the KHI2 test was used with a significance threshold of 0.05.</p>
  </sec><sec id="s3">
   <title>3. Results</title>
   <p>During the study period, 3367 patients were admitted to the department, of whom 171 had PP-ARF, with 81 cases being analyzed, representing a hospital prevalence of 5.08%. The files of 90 patients were unusable because they lacked a lot of information relating to diagnosis and treatment. The average age of the patients was 28.19 years, with extremes of 16 and 45 years. Of the 81 patients, 5 were from the sub-region (4 from Guinea-Bissau and 1 from Gambia), representing 6.1%, and 76 patients were from the country, representing 93.9%. Regarding medical history, 50.6% of patients had high blood pressure, 2.5% had diabetes, 6.1% had used herbal medicine, 21% had used contraception, and 25.9% had used herbal medicine. The average number of pregnancies was 3, with extremes of 1 and 9, and 55.5% of patients had between 2 and 3 pregnancies. The average parity was 3, with extremes of 0 and 9, and 42% of patients were multiparous. Regarding prenatal care (PNC), 23 patients had at least 4 PNCs, or 28.9%, and 8 had unmonitored pregnancies without any PNCs, or 9.9%. The clinical manifestations were dominated by clinical anemia in 13 patients (16%), followed by anuria in 38 patients (46.9%) and acute respiratory distress in 15 patients (18.5%) (<xref ref-type="table" rid="table1">
     Table 1
    </xref>).</p>
   <table-wrap id="table1">
    <label>
     <xref ref-type="table" rid="table1">
      Table 1
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.145834-"></xref>Table 1. Distribution of patients according to sociodemographic data.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="57.61%"><p style="text-align:center">Sociodemographic and Clinical Data</p></td> 
      <td class="custom-bottom-td acenter" width="42.39%"><p style="text-align:center">Proportions (%)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="57.61%"><p style="text-align:center">Comorbidities and medical history</p></td> 
      <td class="custom-top-td acenter" width="42.39%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">High blood pressure</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">50.6</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Diabetes</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">2.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Heart disease</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">2.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Previous cesarean section</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">6.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Contraception</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">21</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Herbal medicine</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">25.9</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="57.61%"><p style="text-align:center">Gestation</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">1 - 2 Gestations</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">55.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">3 - 4 Gestations</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">23.5</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="57.61%"><p style="text-align:left">≥5 Gestations</p></td> 
      <td class="custom-bottom-td acenter" width="42.39%"><p style="text-align:center">21</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="57.61%"><p style="text-align:center">Parity</p></td> 
      <td class="custom-top-td acenter" width="42.39%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Nulliparous</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">4.9</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Primiparous</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">34.6</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Multiparous</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">42</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="57.61%"><p style="text-align:left">Grand multiparous (more than 5 births)</p></td> 
      <td class="custom-bottom-td acenter" width="42.39%"><p style="text-align:center">18.5</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="57.61%"><p style="text-align:center">Prenatal consultations</p></td> 
      <td class="custom-top-td acenter" width="42.39%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">0 - 2</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">14.9</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">2 - 4</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">83.7</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="57.61%"><p style="text-align:left">&gt;4</p></td> 
      <td class="custom-bottom-td acenter" width="42.39%"><p style="text-align:center">1.4</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="57.61%"><p style="text-align:center">Clinical manifestations</p></td> 
      <td class="custom-top-td acenter" width="42.39%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Clinical anemia</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">16</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Anuria</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">46.9</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Jaundice</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">18.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Convulsions</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">2.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Edema of the lower limbs</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">24.7</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Urinary irritation syndrome</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">2.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Acute uremic syndrome</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">32.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Obnubilation</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">30.9</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="57.61%"><p style="text-align:left">Acute respiratory distress</p></td> 
      <td class="acenter" width="42.39%"><p style="text-align:center">18.5</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>Regarding paraclinical data, the average hemoglobin level was 8.7 g/dl, with extremes of 2.9 and 13.6 g/dl. Severe anemia was noted in 23 patients (28.4%) with hemoglobin levels below 7 g/dL. The mean creatinine level was 3.55 mg/dl, with extremes of 16 and 150 mg/L. The mean ASAT level was 163.722 IU/L, the mean ALAT level was 153.869 IU/L, and 18 patients (22.2%) had elevated transaminase levels. The mean potassium level was 4.36 mEq/L, and 26% of patients had hyperkalemia (<xref ref-type="table" rid="table2">
     Table 2
    </xref>).</p>
   <table-wrap id="table2">
    <label>
     <xref ref-type="table" rid="table2">
      Table 2
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.145834-"></xref>Table 2. Distribution of patients according to biological data.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="29.76%"><p style="text-align:center">Biologicals Data</p></td> 
      <td class="custom-bottom-td acenter" width="44.53%"><p style="text-align:center">Means</p></td> 
      <td class="custom-bottom-td acenter" width="25.72%"><p style="text-align:center">Proportions (%)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft pli" width="29.76%"><p style="text-align:left">Hemoglobin</p></td> 
      <td class="custom-top-td acenter" width="44.53%"><p style="text-align:center">8.7 g/dl (2.9 - 13.6 g/dl)</p></td> 
      <td class="custom-top-td acenter" width="25.72%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="29.76%"><p style="text-align:left">Creatinine</p></td> 
      <td class="acenter" width="44.53%"><p style="text-align:center">3.55 mg/dl (1.6 - 15.0 mg/L)</p></td> 
      <td class="acenter" width="25.72%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="29.76%"><p style="text-align:left">Blood urea</p></td> 
      <td class="acenter" width="44.53%"><p style="text-align:center">87 mg/dl (15 - 490 mg/dl)</p></td> 
      <td class="acenter" width="25.72%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="29.76%"><p style="text-align:left">Potassium</p></td> 
      <td class="acenter" width="44.53%"><p style="text-align:center">4.36 mmol/L (1.10 - 7.50 mmol/L)</p></td> 
      <td class="acenter" width="25.72%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="29.76%"><p style="text-align:left">Sodium</p></td> 
      <td class="acenter" width="44.53%"><p style="text-align:center">136 mmol/L (115 - 160 mmol/L)</p></td> 
      <td class="acenter" width="25.72%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="29.76%"><p style="text-align:left">Calcium</p></td> 
      <td class="custom-bottom-td acenter" width="44.53%"><p style="text-align:center">71 mg/L (60 - 84.1 mg/L)</p></td> 
      <td class="custom-bottom-td acenter" width="25.72%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="29.76%"><p style="text-align:center">AKI KDIGO</p></td> 
      <td class="custom-top-td acenter" width="44.53%"><p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="25.72%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="29.76%"><p style="text-align:left">Stage 1</p></td> 
      <td class="acenter" width="44.53%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="25.72%"><p style="text-align:center">25</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="29.76%"><p style="text-align:left">Stage 2</p></td> 
      <td class="acenter" width="44.53%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="25.72%"><p style="text-align:center">30</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="29.76%"><p style="text-align:left">Stage 3</p></td> 
      <td class="acenter" width="44.53%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="25.72%"><p style="text-align:center">45</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>The etiological factors of AKI were dominated by retroplacental hematoma (RPH) in 22 patients (27.2%), followed by preeclampsia in 20 patients (24.7%) and placenta previa in 6 patients (7.1%). Regarding fetal prognosis, 26 newborns were alive and well (32.1%), 17 were premature (21.0%), and 36 neonatal deaths were recorded (44.4%). For treatment, 29 patients were admitted to intensive care (35.8%). Five patients underwent dialysis, representing 6.2%, and the average number of sessions was 5, with extremes of 3 and 7. The indications noted were the isolated or non-isolated onset of acute renal failure, anuria, poorly tolerated uremia, or life-threatening hyperkalemia. The outcome was favorable in 54 patients (66.7%) with resumption of diuresis and normal renal function, unfavorable in 7 patients (8.7%), with partial recovery in 5 patients (6.2%), and progression to chronicity in 2 patients (2.5%). Death occurred in 20 patients (24.6%). The causes of death were septic shock in 8 patients (9.8%), hemorrhagic shock in 7 patients (8.6%), acute pulmonary edema in 3 patients (3.7%), and severe hyperkalemia in 2 patients (2.5%) (<xref ref-type="table" rid="table3">
     Table 3
    </xref>).</p>
   <table-wrap id="table3">
    <label>
     <xref ref-type="table" rid="table3">
      Table 3
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.145834-"></xref>Table 3. Distribution of patients according to etiological data and prognosis.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="52.55%"><p style="text-align:center">Etiological Data, Prognoses</p></td> 
      <td class="custom-bottom-td acenter" width="47.45%"><p style="text-align:center">Proportions (%)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="52.55%"><p style="text-align:center">Etiological data</p></td> 
      <td class="custom-top-td acenter" width="47.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Preeclampsia</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">24.7</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">HRP</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">27.2</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Placenta praevia</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">7.4</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Retained dead fetus</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">1.2</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Postpartum hemorrhage</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">4.9</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">ROM at 28 weeks of gestation</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">1.2</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Hemorrhagic abortion</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">2.5</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="52.55%"><p style="text-align:left">Nephrotic syndrome</p></td> 
      <td class="custom-bottom-td acenter" width="47.45%"><p style="text-align:center">1.2</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="52.55%"><p style="text-align:center">Fetal prognoses data</p></td> 
      <td class="custom-top-td acenter" width="47.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Prematurity</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">21</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Live births</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">32.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Abortions</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">2.5</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="52.55%"><p style="text-align:left">Deaths</p></td> 
      <td class="custom-bottom-td acenter" width="47.45%"><p style="text-align:center">44.4</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="52.55%"><p style="text-align:center">Progressive data maternal</p></td> 
      <td class="custom-top-td acenter" width="47.45%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Favorable with full recovery FR</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">66.7</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Partial recovery</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">6.2</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Chronicity</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">2.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="52.55%"><p style="text-align:left">Death</p></td> 
      <td class="acenter" width="47.45%"><p style="text-align:center">24</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>Regarding analytical data, preeclampsia was significantly associated with mortality (p = 0.025), as were altered consciousness (p = 0.0001), anuria (p = 0.00001), and OAP (p = 0.048) (<xref ref-type="table" rid="table4">
     Table 4
    </xref>).</p>
   <table-wrap id="table4">
    <label>
     <xref ref-type="table" rid="table4">
      Table 4
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.145834-"></xref>Table 4. Statistically significant correlations between data and mortality.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="acenter" width="47.41%"><p style="text-align:center">Age + Etiological Factors</p></td> 
      <td class="custom-bottom-td acenter" width="47.39%" colspan="2"><p style="text-align:center">Death</p></td> 
      <td rowspan="2" class="acenter" width="23.70%"><p style="text-align:center">Total</p></td> 
      <td rowspan="2" class="acenter" width="23.70%"><p style="text-align:center">P</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="23.70%"><p style="text-align:center">No</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="23.70%"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="47.41%"><p style="text-align:center">Altered consciousness</p></td> 
      <td class="custom-top-td acenter" width="23.70%"><p style="text-align:center">11 (44%)</p></td> 
      <td class="custom-top-td acenter" width="23.70%"><p style="text-align:center">14 (56%)</p></td> 
      <td class="custom-top-td acenter" width="23.70%"><p style="text-align:center">25 (100%)</p></td> 
      <td class="custom-top-td acenter" width="23.70%"><p style="text-align:center">0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="47.41%"><p style="text-align:center">Anuria</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">3 (7.9%)</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">35 (92.1%)</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">38 (100%)</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">0.00001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="47.41%"><p style="text-align:center">Preeclampsia</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">9 (45%)</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">11 (55%)</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">20 (100%)</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">0.025</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="47.41%"><p style="text-align:center">Acute pulmonary edema</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">7 (46.7%)</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">8 (53.3%)</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">15 (100%)</p></td> 
      <td class="acenter" width="23.70%"><p style="text-align:center">0.048</p></td> 
     </tr> 
    </table>
   </table-wrap>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>Several studies on PP-AKI have been conducted in Senegal. Ka in 1996 and Tall in 2011 found prevalences of 3.75% <xref ref-type="bibr" rid="scirp.145834-7">
     [7]
    </xref> and 4.65% <xref ref-type="bibr" rid="scirp.145834-8">
     [8]
    </xref>, respectively. Another study conducted in 2019 in two hospitals in the Ziguinchor region found a very high prevalence of 13.54% in intensive care units <xref ref-type="bibr" rid="scirp.145834-9">
     [9]
    </xref>.</p>
   <p>In developing countries, the prevalence of PP-AKI is very high, varying between 7.8% and 36.20% <xref ref-type="bibr" rid="scirp.145834-10">
     [10]
    </xref> <xref ref-type="bibr" rid="scirp.145834-11">
     [11]
    </xref>. In contrast, in developed countries, it is currently low, at around 2% to 3%, compared to 20% to 40% in the 1950s and 1960s <xref ref-type="bibr" rid="scirp.145834-2">
     [2]
    </xref>.</p>
   <p>The high prevalence in our regions can be explained by poor pregnancy monitoring with a lack of quality antenatal care, delays in treatment, or a lack of monitoring of women in the immediate postpartum period, and limited medical facilities with a lack of treatment for obstetric complications in developed countries.</p>
   <p>Anuria was the most common clinical manifestation of ARF, occurring in 46.9% of cases. This finding is consistent with the majority of studies, notably those by Prakash and Selcuk, in which it was present in 85.88% <xref ref-type="bibr" rid="scirp.145834-12">
     [12]
    </xref> and 85.88% <xref ref-type="bibr" rid="scirp.145834-13">
     [13]
    </xref> of cases, respectively. This high rate of oligo-anuria is explained by the very high frequency of post-hemorrhagic ischemic acute tubular necrosis in our series, which is associated with delayed diagnosis.</p>
   <p>Hemorrhagic causes were predominant in 44.48% of cases, with HRP accounting for 27.20%, hemorrhagic placenta previa in 7.4%, and postpartum hemorrhage in 9.88%. Among non-hemorrhagic causes, severe preeclampsia was noted in 24.7%. In Senegal, three previous studies had found similar results with a predominance of preeclampsia, notably those by Bennani (92.50%) <xref ref-type="bibr" rid="scirp.145834-14">
     [14]
    </xref>, Tall (56.20%) <xref ref-type="bibr" rid="scirp.145834-8">
     [8]
    </xref>, and Hmima (70.96%) <xref ref-type="bibr" rid="scirp.145834-9">
     [9]
    </xref>. The figures reported in various African studies confirm the predominance of preeclampsia as the main etiology. Khellaf in Algeria reported a rate of 80% for preeclampsia <xref ref-type="bibr" rid="scirp.145834-15">
     [15]
    </xref> and Ghezaiel in Tunisia reported a rate of 63% <xref ref-type="bibr" rid="scirp.145834-16">
     [16]
    </xref>.</p>
   <p>Hemodialysis was used in 6.2% of patients. These results are consistent with other studies conducted in Senegal, notably those by Bennani and Tall, where dialysis was used in 47.5% <xref ref-type="bibr" rid="scirp.145834-14">
     [14]
    </xref> and 57% of cases <xref ref-type="bibr" rid="scirp.145834-8">
     [8]
    </xref>, respectively. It should be noted that in the entire Ziguinchor region, there is only one hemodialysis center at the regional hospital with a capacity of eight beds, which can delay treatment and compromise the renal and even vital prognosis of patients.</p>
   <p>In our study, 20 patients died, representing 24.6%. The causes of death were septic shock in 9.8%, hemorrhagic shock in 8.6%, acute pulmonary edema in 3.7%, and severe hyperkalemia in 2.5%. Maternal mortality related to ARF-PP varies between series. In Bennani’s study, the mortality rate (30%) was similar to ours <xref ref-type="bibr" rid="scirp.145834-14">
     [14]
    </xref>. This is identical to that of Hmima (22.58%) <xref ref-type="bibr" rid="scirp.145834-10">
     [10]
    </xref> and Tall (23.2%) <xref ref-type="bibr" rid="scirp.145834-9">
     [9]
    </xref>. In Khellaf’s series, the mortality rate was lower at 7.40% <xref ref-type="bibr" rid="scirp.145834-17">
     [17]
    </xref>, as was Khalil’s in Pakistan, who found a mortality rate of 15% <xref ref-type="bibr" rid="scirp.145834-15">
     [15]
    </xref>. It is similar to the 8% reported by several studies, with a maternal mortality rate of 15% - 46%. This excess mortality is attributed to sepsis and delayed evacuation of postpartum complications, and sometimes to the lack of appropriate technical facilities for high-quality resuscitation.</p>
  </sec><sec id="s5">
   <title>5. Conclusion</title>
   <p>PP-AKI remains a major problem in our regions, unlike in European countries, where this problem has now been resolved. This high prevalence can be explained in part by the limited level of development, with a lack of medical facilities that meet standards for better patient care, but also by a lack of awareness among our population, especially with regard to pregnancy monitoring. Addressing these factors will lead to improved maternal and fetal outcomes.</p>
  </sec><sec id="s6">
   <title>Study Limit</title>
   <p>The very high number of unusable files is due to a lack of significant information. Failure to conduct a multi-level analysis could lead to residual confusion.</p>
  </sec>
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