<?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.2025.153043
   </article-id>
   <article-id pub-id-type="publisher-id">
    ojneph-146217
   </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>
    Incidence of Chronic Kidney Disease in the Emergency Department of the Hospital Peace in Ziguinchor
   </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> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Cheikh Ahmed Tidjiane
      </surname>
      <given-names>
       Koulibaly
      </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>
       Ameth
      </surname>
      <given-names>
       Dieng
      </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>
       Yaya
      </surname>
      <given-names>
       Kane
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aNephrology and Hemodialysis Department, Ziguinchor Regional Hospital, Assane Seck University of Ziguinchor, Ziguinchor, Senegal
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aNephrology and Hemodialysis Department, Thiès Regional Hospital, Iba Der Thiam University of Thiès, Thiès, 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>
    461
   </fpage>
   <lpage>
    468
   </lpage>
   <history>
    <date date-type="received">
     <day>
      20,
     </day>
     <month>
      August
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      27,
     </day>
     <month>
      August
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      27,
     </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> The aim of this study was to determine the incidence of chronic kidney disease (CKD) in the emergency department of the Hospital de la Paix in Ziguinchor. 
    <b>Patients and </b>
    <b>Methods</b>
    <b>:</b> This was a retrospective descriptive and analytical study covering a period of five years (January 1, 2017, to December 31, 2021). The study included all patients seen for the first time in the emergency department with chronic renal failure and usable medical records. 
    <b>Results:</b> The incidence of CKD was 5.7% with an average annual incidence of 21 cases/year. The average age of patients was 48.47 years ± 14.76 years with a sex ratio of 0.89. Hypertension was the most common comorbidity in 52 patients (49.9%), followed by diabetes in 19 patients (18.27%). The mean glomerular filtration rate according to MDRD was (6.94 ± 7.98) ml/minute/1.73m
    <sup>2</sup>, and 97 patients (93.3%) were in stage V of chronic kidney disease. The etiologies of CRF were dominated by nephroangiosclerosis (35.6%), followed by chronic tubulointerstitial nephropathy (27.9%) and diabetic nephropathy (17.3%). Death occurred in 45 patients (43.3%), with the main causes being acute pulmonary edema (35.6%) and poorly tolerated uremia (22.2%). 
    <b>Conclusion:</b> The incidence of chronic renal failure remains high in our study. Diagnosis is often late and often fatal, hence the importance of a good prevention strategy.
   </abstract>
   <kwd-group> 
    <kwd>
     Incidence
    </kwd> 
    <kwd>
      Chronic Kidney Disease
    </kwd> 
    <kwd>
      Ziguinchor
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Chronic kidney disease (CKD) is a real public health problem due to its extremely high morbidity and mortality rates worldwide. Its incidence varies from one country to another and remains difficult to estimate, especially in Africa.</p>
   <p>According to estimates by the International Society of Nephrology (ISN) for 2024, approximately 850 million people live with this disease, representing 10 to 16% of the world’s population <xref ref-type="bibr" rid="scirp.146217-1">
     [1]
    </xref>. There has been a clear increase in prevalence of 33% between 1990 and 2017, and it will be the fifth leading cause of global mortality by 2050 <xref ref-type="bibr" rid="scirp.146217-1">
     [1]
    </xref>. The majority of these people (approximately 80%) live in low- and middle-income countries. In Africa, there are no comprehensive data on the actual prevalence of this disease due to the lack of large-scale studies. However, estimates indicate a prevalence of 250 per million inhabitants with an incidence of 150 new cases per million inhabitants per year <xref ref-type="bibr" rid="scirp.146217-2">
     [2]
    </xref>.</p>
   <p>In Senegal, many hospital-based studies have been conducted, with prevalence rates varying from one study to another. Sidy Seck et al. noted a prevalence of 4.9% in a cross-sectional survey of a sample of 1037 adults over the age of 18 in the population of Saint-Louis <xref ref-type="bibr" rid="scirp.146217-3">
     [3]
    </xref>, whereas Diawara et al. noted a much lower prevalence of 0.68% in 12,567 patients followed in Thiès <xref ref-type="bibr" rid="scirp.146217-4">
     [4]
    </xref>.</p>
   <p>The etiologies differ from country to country and remain dominated in Senegal by benign nephroangiosclerosis in approximately 25% of cases, followed by diabetic nephropathy in 20.69% and primary chronic glomerulonephritis in 15.76% <xref ref-type="bibr" rid="scirp.146217-5">
     [5]
    </xref>.</p>
   <p>In Ziguinchor, no study had been conducted to accurately determine this prevalence and identify the various epidemiological factors of CKD. This work was carried out with the aim of providing data on this pathology in the region.</p>
  </sec><sec id="s2">
   <title>2. Patients and Methods</title>
   <p>This was a retrospective descriptive and analytical study covering a period of five years (January 1, 2017, to December 31, 2021) in the emergency department of the Hôpital de la Paix in Ziguinchor. Patients seen for the first time in consultation and presenting with CKD with a usable medical record were included in the study. Data collection was carried out using a pre-established form providing information on identity (age, sex, initial nephropathy, duration of dialysis, etc.), comorbidities (high blood pressure (HBP), diabetes, pre-existing heart disease, use of herbal medicine, etc.), clinical signs of renal failure with uremic syndrome, biological data (hemoglobin level, calcium level, phosphate level, creatinine level with GFR calculation according to MDRD, 24-hour proteinuria, etc.), radiological data(renal ultrasound to assess renal size and differentiation, renal biopsy if performed, etc.), etiological data (primary and secondary glomerular nephropathies, vascular, tubulo-interstitial), and therapeutic data (conservative treatment, dialysis, etc.) and evolutionary data (favorable with stabilization or unfavorable with progression or death).</p>
   <p>CKD was diagnosed based on a set of epidemiological, clinical, and paraclinical arguments:</p>
   <p>The data were analyzed using Excel and R version 4.03 software. The results were presented as means and standard deviations for quantitative variables and as proportions for qualitative variables. The analytical study was performed using cross-tabulation, and the KHI 2 test was used to compare frequencies with a significance threshold of p &lt; 0.05.</p>
  </sec><sec id="s3">
   <title>3. Results</title>
   <p>During the study period, 3,700 records were collected, of which 212 presented with CKD, representing a hospital incidence of 5.7%. The average age of the patients was 48.47 years ± 14.76 years, with extremes of 20 and 82 years, and a sex ratio (M/F) of 0.89. Regarding medical history, 52 patients (49.9%) had hypertension, 19 patients (18.27%) had diabetes, and 31 patients (29.81%) had a history of herbal medicine use. The reasons for consultation were dyspnea in 74 patients (39.4%), vomiting in 33 patients (17.6%), and headache in 32 patients (17%). High blood pressure was noted in 52 patients (49.9%), of whom 19 patients were Grade 3, or 18.23% (<xref ref-type="table" rid="table1">
     Table 1
    </xref>). Regarding biological data, the mean creatinine level was 165.85 mg/L ± 98.26 mg/L, and the mean glomerular filtration rate (GFR) according to the MDRD was (6.94 ± 7.98) ml/minute/1.73m<sup>2</sup>, with 97 patients (93.3%) at stage V of CKD. Anemia was noted in all patients, 14 patients had hypocalcemia (13.5%), and 53 patients had hyperkalemia (51%) (<xref ref-type="table" rid="table2">
     Table 2
    </xref>). Renal and urinary tract ultrasound was performed in 84 patients (80.7%), of whom 76.1% had small kidneys and 70.2% had poor corticomedullary differentiation. Renal biopsy was not performed. The etiology of CKD was benign nephroangiosclerosis (BNAS) in 37 patients (35.6%), followed by chronic tubulointerstitial nephropathy (CTIN) in 29 patients (27.9%) and diabetic nephropathy (DN) in 18 patients (17.3%) (<xref ref-type="fig" rid="fig1">
     Figure 1
    </xref>). Thirty patients (28.8%) underwent emergency hemodialysis due to acute pulmonary edema (APE) refractory to diuretics in 10 patients, life-threatening hyperkalemia in 7 patients, severe metabolic acidosis in 3 patients, and poorly tolerated uremia in 10 patients. Death occurred in 45 patients (43.3%), with the main causes being AP in 35.6% and poorly tolerated uremia in 22.2%. Regarding the analytical data, there was no statistically significant correlation between age groups and stages of CKD progression, nor with comorbidities (<xref ref-type="table" rid="table3">
     Table 3
    </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.146217-"></xref>Table 1. Distribution of the 104 patients according to sociodemographic and clinical data.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="74.07%"><p style="text-align:center">Sociodemographic and Clinical Data</p></td> 
      <td class="custom-bottom-td acenter" width="25.93%"><p style="text-align:center">Proportion (%)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="74.07%"><p style="text-align:left">Comorbidities</p></td> 
      <td class="custom-top-td acenter" width="25.93%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">High blood pressure</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">49.9</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Diabetes</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">18.27</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">HIV</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">5.77</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Asthma</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">0.96</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="74.07%"><p style="text-align:left">Herbal medicine</p></td> 
      <td class="custom-bottom-td acenter" width="25.93%"><p style="text-align:center">28.81</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="74.07%"><p style="text-align:left">Reasons for Consultation</p></td> 
      <td class="custom-top-td acenter" width="25.93%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Dyspnea</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">39.4</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Vomiting </p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">17.6</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Headaches</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">17</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="74.07%"><p style="text-align:left">Other (Altered consciousness, facial swelling, burning sensation during urination, muscle cramps, diarrhea, abdominal pain, lower back pain, bone pain)</p></td> 
      <td class="custom-bottom-td acenter" width="25.93%"><p style="text-align:center">24.5</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="74.07%"><p style="text-align:left">Examination</p></td> 
      <td class="custom-top-td acenter" width="25.93%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Asthenia, anorexia, pallor</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">100 everyone</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Weight loss</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">84.6</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Oliguria</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">70.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Edema</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">47.3</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="74.07%"><p style="text-align:left">Anuria</p></td> 
      <td class="custom-bottom-td acenter" width="25.93%"><p style="text-align:center">6.7</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="74.07%"><p style="text-align:left">High Blood Pressure</p></td> 
      <td class="custom-top-td acenter" width="25.93%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Grade 1 hypertension</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">18.23</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Grade 2 hypertension</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">16.31</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="74.07%"><p style="text-align:left">Grade 3 hypertension</p></td> 
      <td class="acenter" width="25.93%"><p style="text-align:center">15.35</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <fig id="fig1" position="float">
    <label>Figure 1</label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.146217-"></xref>Figure 1. Distribution of patients according to the causes of chronic kidney disease.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2070705-rId15.jpeg?20250930095005" />
   </fig>
   <table-wrap id="table2">
    <label>
     <xref ref-type="table" rid="table2">
      Table 2
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.146217-"></xref>Table 2. Distribution of the 104 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="41.50%"><p style="text-align:center">Biological Data</p></td> 
      <td class="custom-bottom-td acenter" width="36.72%"><p style="text-align:center">Means</p></td> 
      <td class="custom-bottom-td acenter" width="21.78%"><p style="text-align:center">Proportion (%)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td aleft" width="41.50%"><p style="text-align:left">Creatinine level</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="36.72%"><p style="text-align:center">(16.58 ± 9.826) mg/dL</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="21.78%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="41.50%"><p style="text-align:left">Glomerular filtration rate</p></td> 
      <td class="custom-top-td acenter" width="36.72%"><p style="text-align:center">(6.94 ± 7.98) ml/minute/1.73m<sup>2</sup></p></td> 
      <td class="custom-top-td acenter" width="21.78%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="41.50%"><p style="text-align:left">GFR stage V</p></td> 
      <td class="acenter" width="36.72%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="21.78%"><p style="text-align:center">93.3</p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="41.50%"><p style="text-align:left">GFR stage IV</p></td> 
      <td class="acenter" width="36.72%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="21.78%"><p style="text-align:center">3.8</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="41.50%"><p style="text-align:left">GFR stage III</p></td> 
      <td class="custom-bottom-td acenter" width="36.72%"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="21.78%"><p style="text-align:center">2.9</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td aleft" width="41.50%"><p style="text-align:left">Hemoglobin</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="36.72%"><p style="text-align:center">(6.33 ± 6.98) g/dl</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="21.78%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="41.50%"><p style="text-align:left">Calcemia</p></td> 
      <td class="custom-top-td acenter" width="36.72%"><p style="text-align:center">(80.81 ± 20.56) mg/l</p></td> 
      <td class="custom-top-td acenter" width="21.78%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="41.50%"><p style="text-align:left">Hypocalcemia</p></td> 
      <td class="custom-bottom-td acenter" width="36.72%"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="21.78%"><p style="text-align:center">11.5</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="41.50%"><p style="text-align:left">Kaliemia</p></td> 
      <td class="custom-top-td acenter" width="36.72%"><p style="text-align:center">(5.53 ± 1.6) mmol/L</p></td> 
      <td class="custom-top-td acenter" width="21.78%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft pli" width="41.50%"><p style="text-align:left">Hyperkaliemia</p></td> 
      <td class="acenter" width="36.72%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="21.78%"><p style="text-align:center">51.5</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td aleft pli" width="41.50%"><p style="text-align:left">Hypokaliemia</p></td> 
      <td class="custom-bottom-td acenter" width="36.72%"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="21.78%"><p style="text-align:center">10.6</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="41.50%"><p style="text-align:left">Albuminemia</p></td> 
      <td class="custom-top-td acenter" width="36.72%"><p style="text-align:center">(31 ± 7.37) g/L</p></td> 
      <td class="custom-top-td acenter" width="21.78%"><p style="text-align:center"></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <table-wrap id="table3">
    <label>
     <xref ref-type="table" rid="table3">
      Table 3
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.146217-"></xref>Table 3. Distribution of patients according to age, lifestyle, and terrain in relation to the occurrence of death.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="acenter" width="49.08%"><p style="text-align:center">Parameters</p></td> 
      <td class="custom-bottom-td acenter" width="29.92%" colspan="2"><p style="text-align:center">Death</p></td> 
      <td rowspan="2" class="acenter" width="29.92%"><p style="text-align:center">P</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="29.92%"><p style="text-align:center">Yes</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="29.92%"><p style="text-align:center">No</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="49.08%"><p style="text-align:center">Age ≥ 60 years</p></td> 
      <td class="custom-top-td acenter" width="29.92%"><p style="text-align:center">10 (12.5%)</p></td> 
      <td class="custom-top-td acenter" width="29.92%"><p style="text-align:center">15 (11.5%)</p></td> 
      <td class="custom-top-td acenter" width="29.92%"><p style="text-align:center">0.39</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="49.08%"><p style="text-align:center">High Blood Pressure</p></td> 
      <td class="acenter" width="29.92%"><p style="text-align:center">18 (21.15%)</p></td> 
      <td class="acenter" width="29.92%"><p style="text-align:center">34 (28.4%)</p></td> 
      <td class="acenter" width="29.92%"><p style="text-align:center">0.12</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="49.08%"><p style="text-align:center">Diabetes</p></td> 
      <td class="acenter" width="29.92%"><p style="text-align:center">6 (6.73%)</p></td> 
      <td class="acenter" width="29.92%"><p style="text-align:center">13 (11.53%)</p></td> 
      <td class="acenter" width="29.92%"><p style="text-align:center">0.24</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="49.08%"><p style="text-align:center">Herbal Medicine</p></td> 
      <td class="acenter" width="29.92%"><p style="text-align:center">10 (17.3%)</p></td> 
      <td class="acenter" width="29.92%"><p style="text-align:center">21 (20.25%)</p></td> 
      <td class="acenter" width="29.92%"><p style="text-align:center">0.37</p></td> 
     </tr> 
    </table>
   </table-wrap>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>The hospital incidence of CKD in our study was 21 cases/year, which varies from one country to another according to different studies. Olutayo (Nigeria) <xref ref-type="bibr" rid="scirp.146217-6">
     [6]
    </xref> and Ramilitiana (Madagascar) <xref ref-type="bibr" rid="scirp.146217-7">
     [7]
    </xref> found lower incidences of 15.3 cases/year and 13 cases/year, respectively. On the other hand, studies conducted by Chaabouni (Tunisia) <xref ref-type="bibr" rid="scirp.146217-8">
     [8]
    </xref> and in the United States <xref ref-type="bibr" rid="scirp.146217-9">
     [9]
    </xref> found higher incidences of 170 cases per year and 50.8 cases per year, respectively. This difference could be explained, on the one hand, by the variability in the duration of the studies, but above all by the existence of several nephrology departments in developed countries, where patients have a culture of seeking hospital consultation as soon as possible, unlike in our country.</p>
   <p>The average age was 48.47 years, and the most affected age group was between 40 and 50 years old (28.8%). The average age of onset of CKD varies from country to country. It is generally higher in developed countries, with 63.3 years in China <xref ref-type="bibr" rid="scirp.146217-10">
     [10]
    </xref> and 76.4 years in France <xref ref-type="bibr" rid="scirp.146217-11">
     [11]
    </xref>. In contrast, in low-income countries, the average age was much lower. It was 34.4 years in Mali <xref ref-type="bibr" rid="scirp.146217-12">
     [12]
    </xref> and 39.6 years in Nigeria <xref ref-type="bibr" rid="scirp.146217-13">
     [13]
    </xref>. This contrast can be explained by easier access to medical care, increased life expectancy, and aging populations in developed countries, and especially by the young nature of populations in most developing countries in general and in sub-Saharan Africa in particular.</p>
   <p>Anemia was very significant in our study, partly explained by the delay in diagnosis of the disease because many patients arrive at the late stage where the impact of CKD is present, especially hematologically, but also the inaccessibility of erythropoietin, which can correct these disorders.</p>
   <p>The etiologies were dominated by benign nephroangiosclerosis (BNAS) in 35.6% of cases, followed by chronic tubulointerstitial nephropathy (27.9%), diabetic nephropathy (17.3%), and chronic glomerulonephritis (12.5%). These results are similar to those of Saudan et al. <xref ref-type="bibr" rid="scirp.146217-14">
     [14]
    </xref> (Switzerland) with 31.2% for NAS and 28% for DN, and those of Yassine <xref ref-type="bibr" rid="scirp.146217-15">
     [15]
    </xref> (Morocco) with 42.1% for NAS and 23.6% for DN. In contrast, in developed countries, diabetes is the leading cause, with 31% reported by Loos-Ayav et al. in France <xref ref-type="bibr" rid="scirp.146217-16">
     [16]
    </xref> and 43.8% by Collins et al. in the United States <xref ref-type="bibr" rid="scirp.146217-9">
     [9]
    </xref>. Hypertension is the leading cause of CKD in our study, although the frequency of hypertension and diabetes remains unknown. This could be linked to several factors, including non-compliance with treatment among hypertensive patients with late detection of hypertension (often associated with complications), the importance of cardiovascular risk factors, particularly smoking, and a lack of awareness among the population of the seriousness of this disease. The high frequency of NTIC in our study can be explained by the significant use of phytotherapy because this treatment is more accessible than medical treatment in our area.</p>
   <p>Hemodialysis was indicated in all patients with stage V CKD (93.3%). However, 30 patients (28.8%) underwent emergency hemodialysis.</p>
   <p>In developed countries, hemodialysis is most often scheduled for patients who are under regular nephrological follow-up. Unfortunately, this is not the case in our developing countries, where hemodialysis is started on an emergency, unscheduled basis in patients with severe uremic syndrome or serious alterations in biological variables, which are indications of necessity.</p>
  </sec><sec id="s5">
   <title>5. Conclusion</title>
   <p>This study has provided important information, particularly on the incidence of CKD in the Ziguinchor region, which is high and similar to that found in the literature. It also highlights the poor prognosis for these patients, with high mortality due to several factors, including the lack of medical facilities, the improvement of which would allow for better care of these patients.</p>
  </sec><sec id="s6">
   <title>Limit of Study</title>
  </sec>
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