<?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.2025.152025
   </article-id>
   <article-id pub-id-type="publisher-id">
    ojneph-143270
   </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>
    Epidemiologic and Clinical Aspects of Hemodialysis Patients in a Semi-Rural Setting at the Franceville Hemodialysis Center
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Alda Marcelle
      </surname>
      <given-names>
       Ngoubadjambo
      </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>
       Hervé Martial
      </surname>
      <given-names>
       Ekomy
      </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>
       Edmery
      </surname>
      <given-names>
       Mpouho
      </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>
       Cédric
      </surname>
      <given-names>
       Sima
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aCentre d’hémodialyse Franceville, Centre Hospitalier Universitaire Amissa Bongo (CHUAB), Franceville, Gabon
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aDépartement de Santé au Travail, Polyclinique du Haut-Ogooué, Franceville, Gabon
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aPublic Health Department, Amissa Bongo University Hospital, Franceville, Gabon
    </addr-line> 
   </aff> 
   <aff id="aff4">
    <addr-line>
     aLaboratoire de Recherche en Biochimie, Université des Sciences et Techniques de Masuku, USTM, Gabon, Franceville, Gabon
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     15
    </day> 
    <month>
     04
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    02
   </issue>
   <fpage>
    252
   </fpage>
   <lpage>
    268
   </lpage>
   <history>
    <date date-type="received">
     <day>
      21,
     </day>
     <month>
      April
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      10,
     </day>
     <month>
      April
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      10,
     </day>
     <month>
      June
     </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> Hemodialysis has evolved significantly, allowing better management of patients with chronic renal failure. This progress has led to an increase in the life expectancy of these patients. Therefore, we conducted this study to evaluate the epidemiologic and clinical aspects of acute and chronic hemodialysis patients at the Franceville hemodialysis center in Gabon. 
    <b>Patients and Methods:</b> This was a prospective, descriptive study covering a 3-year period from October 2021 to September 2024 at the Franceville Hemodialysis Center. All hemodialysis patients who voluntarily agreed to participate in the study were included. Epidemiologic, clinical, paraclinical and evolutionary data were collected for each hemodialysis patient. The statistical study was performed using Epi info 7.2.6 software. 
    <b>Results:</b> One hundred and fifty-six patients were included in the study, with a male predominance (62.8%). The mean age was 49.92 years (05 - 81 years). The majority of patients had chronic renal insufficiency (63.46%). The underlying nephropathy of chronic renal failure (CRF) was dominated by nephroangiosclerosis (68.69%) and diabetes (21.21%). Acute renal failure (ARF) of infectious origin, including malaria (36.84%) and human immunodeficiency virus infection (19.3%), was the most common. Most patients (83.33%) underwent emergency dialysis. The most common biological disorders were anemia (95.5%) and hyperkalemia (47.44%). The most commonly used vascular access was the temporary catheter (78.4%). The outcome of patients with AKI and CKD was unfavorable in 29.82% and 45.45% of cases, respectively. 
    <b>Conclusions:</b> Our study reveals several epidemio-clinical aspects of hemodialysis patients in a semi-rural setting. It calls for the implementation of necessary accompanying measures, such as the availability of certain drugs and examinations essential for the better management of hemodialysis patients at the Franceville hemodialysis center.
   </abstract>
   <kwd-group> 
    <kwd>
     Chronic Renal Failure
    </kwd> 
    <kwd>
      Acute Renal Failure
    </kwd> 
    <kwd>
      Hemodialysis
    </kwd> 
    <kwd>
      Franceville
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Around 750 million people worldwide suffer from chronic kidney disease (CKD), an advanced stage of kidney disease <xref ref-type="bibr" rid="scirp.143270-1">
     [1]
    </xref>. It is a significant public health issue in Africa due to its prevalence, lethality, and the high cost of care <xref ref-type="bibr" rid="scirp.143270-2">
     [2]
    </xref> <xref ref-type="bibr" rid="scirp.143270-3">
     [3]
    </xref>. Its incidence is steadily rising in developed countries <xref ref-type="bibr" rid="scirp.143270-4">
     [4]
    </xref>. In developing countries, CKD is often discovered at an advanced stage <xref ref-type="bibr" rid="scirp.143270-4">
     [4]
    </xref> <xref ref-type="bibr" rid="scirp.143270-5">
     [5]
    </xref>.</p>
   <p>However, there are notable variations in the prevalence and risk of CKD between North Africa, South Africa, and sub-Saharan Africa. Indeed, estimates of the CKD burden have shown significant variability depending on the assessment methods and populations studied <xref ref-type="bibr" rid="scirp.143270-6">
     [6]
    </xref> <xref ref-type="bibr" rid="scirp.143270-7">
     [7]
    </xref>. Kaze et al. conducted a meta-analysis in Africa in 2018 and reported an overall prevalence of CKD stages 1 - 5 of 15.8% and a prevalence of CKD stages 3 - 5 of 4.6% (3.3 - 6.1) in the general population. Their survey also revealed that the prevalence of CKD was higher in studies conducted in sub-Saharan Africa than in those conducted in North Africa <xref ref-type="bibr" rid="scirp.143270-8">
     [8]
    </xref>.</p>
   <p>CKD in Africa is usually caused by a combination of genetic and environmental factors. These factors include persistent or reemerging communicable diseases such as malaria, filariasis, onchocerciasis, schistosomiasis, tuberculosis, leprosy, HIV, HBV, and HCV. On the other hand, they include non-communicable diseases (NCDs), such as diabetes, hypertension, obesity, sickle cell disease, heart disease, collagen vascular disease, and APOL1 nephropathy <xref ref-type="bibr" rid="scirp.143270-9">
     [9]
    </xref>. Recently added to this non-exhaustive list is SARS-COV2 infection, which causes both acute kidney injury and CKD <xref ref-type="bibr" rid="scirp.143270-10">
     [10]
    </xref>.</p>
   <p>Renal disease is also poorly documented in Gabon. The available data on the disease are the results of studies conducted only in the capital city <xref ref-type="bibr" rid="scirp.143270-11">
     [11]
    </xref> <xref ref-type="bibr" rid="scirp.143270-12">
     [12]
    </xref>. Of the eleven renal replacement centers in Gabon, two are public and located in the provinces of Port-Gentil and Franceville. The Franceville Hemodialysis Center, which opened on October 21, 2021, serves the entire population of the southeastern region of the country. In this semi-rural environment, diagnosing and managing hemodialysis patients remains difficult. This can increase the morbidity and mortality of hemodialysis patients due to problems with the supply of consumables, drugs, and medical equipment. These problems rapidly lead to stockouts in hospitals and pharmacies. The regular use of traditional medicine and decoctions, as well as low socioeconomic status, have a significant impact on the consistent follow-up of nephrology patients in this setting. Patients generally arrive at the hospital at an advanced stage of CKD complications, and death is common. The characteristics of hemodialysis patients in semi-rural areas differ greatly from those in urban areas. To address this scientific gap, we conducted a study to describe the epidemiological and clinical aspects of hemodialysis patients at the hemodialysis center in Franceville, Gabon.</p>
  </sec><sec id="s2">
   <title>2. Patients and Methods</title>
   <sec id="s2_1">
    <title>2.1. Description of the Study Site</title>
    <p>The province of Haut Ogooué is located in the southeastern part of the Republic of Gabon, with Franceville as its capital. It is bordered to the north by the province of Ogooué Ivindo, to the east and south by the Republic of Congo, and to the west by the province of Ogooué Lolo. With a surface of about 36,550 km<sup>2</sup>, it covers 13.6% of the total surface of the country. Franceville is home to the Centre International de Recherche Médical (CIRMF), the Université des Sciences et Techniques de Masuku (USTM), the École Doctorale Régionale (EDR) d’Afrique Centrale de Franceville en Infectiologie Tropicale and the Centre Hospitalier Universitaire Amissa Bongo (CHUAB). The CHUAB is located in the 3rd arrondissement of Franceville and was inaugurated on May 08, 2003. The Hemodialysis Center is attached to the CHUAB.</p>
    <p>More than 90% of our hemodialysis patients are covered by the Caisse Nationale d’Assurances Maladie et de Garantie Sociale (CNAMGS), which pays 100% of the cost of hemodialysis sessions.</p>
    <p>The Hemodialysis Center is an autonomous unit that has been operational and functional since October 2021, serving the entire population of the southeastern part of the country. It has a capacity of 10 beds, for 10 dialysis generators (Fresenius 4008S), a pre-treatment and water treatment room and a dialysate composed as follows (<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.143270-"></xref>Table 1. Dialysate composed.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="33.34%"><p style="text-align:center">Item Number</p></td> 
       <td class="custom-bottom-td acenter" width="66.66%" colspan="2"><p style="text-align:center">Composition</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="100.00%" colspan="3"><p style="text-align:center">Acid concentrates for hemodialysis (dialysis baths)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.34%"><p style="text-align:center">Acid concentrate (1 + 44)</p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">Na+</p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">138 mmol/L</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.34%"><p style="text-align:center">4.7 L canister</p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">Mg2</p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">0.5 mmol/L</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.34%"><p style="text-align:center">Fresenius</p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">K+</p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">3 mmol/L</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.34%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">Cl</p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">110 mmol/L</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.34%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">CHC00-</p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">3 mmol/L</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.34%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">HCO3-</p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">32 mmol/L</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.34%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">Glucose</p></td> 
       <td class="acenter" width="33.33%"><p style="text-align:center">1 g/L - 6.6 mmol/L</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="33.34%"><p style="text-align:center">AC-F313/1 (7.8 L)</p><p style="text-align:center">AC-F311.5 (4.2 L)</p></td> 
       <td class="custom-bottom-td acenter" width="33.33%"><p style="text-align:center">Ca2+</p></td> 
       <td class="custom-bottom-td acenter" width="33.33%"><p style="text-align:center">1.5 mmol/L</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="100.00%" colspan="3"><p style="text-align:center">Sodium Bicarbonate Concentrates (Cartridge)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.34%"><p style="text-align:center">Bibag® Fresenius</p></td> 
       <td class="acenter" width="66.66%" colspan="2"><p style="text-align:center">NaHCO3: 650 g</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>The hemodialysis center is open from 6:30 a.m. to 10 p.m. on Mondays, Wednesdays and Fridays and from 6:30 a.m. to 10 p.m. on Tuesdays, Thursdays and Saturdays. A nurse and physician are on call outside of these hours.</p>
    <p>Patients typically have 3 dialysis sessions per week, either on Mondays, Wednesdays and Fridays or Tuesdays, Thursdays and Saturdays. Each session lasts 4 hours on average.</p>
    <p>The patient arrives in comfortable clothes, accompanied by an ambulance driver or a relative.</p>
    <p>Weighing: The physician determines the dry weight of each patient. Therefore, before each dialysis session, the patient must be weighed in the presence of a member of the paramedical staff in order to calculate the weight to be lost during the session.</p>
    <p>Connection: If the patient has an arteriovenous fistula (AVF) and is physically able, he washes his fistula arm with soap and water. The patient is then placed in the bed indicated by the paramedical staff. If necessary, the fistula arm is attached and washed by the paramedical staff. The various session data are then entered into the generator. Blood pressure is then taken. When the machine is ready, the nurse connects the patient to the dialysis machine, either through the FAV or the catheter.</p>
    <p>The dialysis session itself: The length of the dialysis session is determined by the physician based on the patient’s needs. During the session, the nurse monitors various parameters such as blood pressure, facial expressions, the patient’s feelings and machine parameters.</p>
    <p>Disconnection: Before disconnecting the patient from the generator, the paramedical staff will read the generator’s various parameters and take the patient’s blood pressure.</p>
    <p>For fistula disconnection, the nurse removes the needles from the fistula and compresses the puncture point. Once the fistula is disconnected, the nurse applies a dressing to it. The dressing must remain in place until the evening of dialysis after morning sessions and until the following morning after evening sessions.</p>
    <p>Catheter Disconnection: For patients with a catheter, a nurse disconnects the catheter and applies an occlusive dressing. The patient may then stand up in the presence of a staff member.</p>
    <p>Post-treatment weighing: Before leaving the clinic, patients weigh themselves to see if they have met their weight loss goal set at the beginning of treatment.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Type and Period of Study</title>
    <p>We conducted a prospective, descriptive study over a period of 35 months, from October 2021 to September 2024.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Study Population and Inclusion Criteria</title>
    <p>The study population consisted of all acute and chronic hemodialysis patients hospitalized and monitored on an outpatient basis at the Franceville hemodialysis center during the study period, i.e. a population of 156 hemodialysis patients.</p>
    <p>We used an exhaustive sample.</p>
    <p>All acute and chronic hemodialysis patients at the Franceville hemodialysis center at the time of the study, whether emergency or scheduled, with or without prior nephrologic follow-up, who agreed to participate in the study by giving verbal consent, were included in the study. Parental consent was obtained for children under 18 years of age. We excluded all non-dialyzed renal failure patients and hemodialysis patients who refused to participate in the study.</p>
   </sec>
   <sec id="s2_4">
    <title>2.4. Variables Studied</title>
   </sec>
   <sec id="s2_5">
    <title>2.5. Equipment Used</title>
   </sec>
   <sec id="s2_6">
    <title>2.6. Data Collection</title>
    <p>Data were collected from patients’ individual medical records and during direct interviews with patients for those who were stable. For patients with dialysis emergencies or hemodynamic instability, data were collected from relatives and/or after patients were stabilized.</p>
    <p>Data were collected from individual patient records. Each patient’s file was analyzed according to a specific grid containing the parameters to be studied.</p>
   </sec>
   <sec id="s2_7">
    <title>2.7. Definition Criteria</title>
   </sec>
   <sec id="s2_8">
    <title>2.8. Data Entry and Analysis</title>
    <p>Data were analyzed using Epi info 7.2.6 software. Descriptive results were expressed as numbers and percentages for qualitative variables. Quantitative variables were expressed by calculating the mean, standard deviation and extreme values (minimum and maximum). Tables and graphs were generated using Microsoft Office Excel 2016 (Microsoft Corporation, Redmond, WA, USA).</p>
   </sec>
   <sec id="s2_9">
    <title>2.9. Ethical Considerations</title>
    <p>The respect and dignity of all study participants were respected. An anonymous questionnaire was used. The work described does not involve experiments on patients, human subjects or animals. The study was approved by the Medical Committee and the General Management of CHUAB. All the tenets of the Declaration of Helsinki regarding human subjects in research were followed during data collection. Ethical approval was obtained from the Regional Ethics Committee of the Province of Haut-Ogooué (PROT N°20/2021/MSAS/DRSSEF).</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results</title>
   <sec id="s3_1">
    <title>3.1. Sociodemographic Characteristics of the Study Participants</title>
    <p>During the study period, we studied 156 hemodialysis patients. The sample was predominantly male (62.8%). The mean age of our patients at the start of dialysis was 49.92 ± 14.97 years [05 - 81 years], with the age group [30 - 65 years] being the most represented (60.9%). Many of our patients were unemployed (37.8%). In the majority of cases (91.03%), patients were covered by health insurance (<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.143270-"></xref>Table 2. Sociodemographic characteristics of study participants.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="55.29%"><p style="text-align:center">Gender</p></td> 
       <td class="custom-bottom-td acenter" width="22.35%"><p style="text-align:center">Numbers (N)</p></td> 
       <td class="custom-bottom-td acenter" width="22.35%"><p style="text-align:center">Percentage (%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="55.29%"><p style="text-align:center">Female</p></td> 
       <td class="custom-top-td acenter" width="22.35%"><p style="text-align:center">58</p></td> 
       <td class="custom-top-td acenter" width="22.35%"><p style="text-align:center">37.2</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Male</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">98</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">62.8</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Nationality</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Gabonese</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">142</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">91.03</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Non-Gabonese</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">14</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">8.97</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Age groups</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">&lt;18 years</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">14</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">18 - 30 years</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">19</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">12.2</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">30 - 50 years</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">47</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">30.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">51 - 65 years</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">48</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">30.8</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">65 years and older</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">28</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">17.9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Provenance by province</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Haut Ogooué</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">120</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">76.9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Estuaire</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">12.8</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Ogooué lolo</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">15</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">9.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Ogooué Ivindo</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">1</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">0.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Profession</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">students</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">25</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">16.0</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">pensioners</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">15</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">9.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">without</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">59</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">37.8</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">workers</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">57</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">36.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Financing of care</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Insurance</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">142</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">91.03</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">family</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">5</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">3.21</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="55.29%"><p style="text-align:center">Association</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">8</p></td> 
       <td class="acenter" width="22.35%"><p style="text-align:center">5.13</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="55.29%"><p style="text-align:center">Non-Governmental Organization (NGO)</p></td> 
       <td class="custom-bottom-td acenter" width="22.35%"><p style="text-align:center">1</p></td> 
       <td class="custom-bottom-td acenter" width="22.35%"><p style="text-align:center">0.64</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
   <sec id="s3_2">
    <title>3.2. Clinical and Paraclinical Data of the Study Participants</title>
    <p>Use hypertension was found in 46.2% of the patients and diabetes in 17.3%. Menopause was found in 18.6% of cases, alcohol in 17.3%, herbal medicine and maraboutage in 12.8%. HIV-positive serologic status was found in 11.54% of cases, positive Hbs antigen in 5.13% and anti-HCV antibodies in 7.1%. Co-infection with HIV and hepatitis C was found in 1.3% of cases.</p>
    <p>Clinical and paraclinical parameters at the first dialysis session were predominantly hypertension (31.41%), with a predominance of grade 3, acute pulmonary edema (37.82%) and uremic encephalopathy (23.08%), and creatinine levels at the first hemodialysis session ranged from 400 µmol/L to 2807 µmol/L. We note that 13.31% (n = 27) had azotemia greater than or equal to 50 mmol/L and 82.69% (n = 129) less than 50 mmol/L.</p>
    <p>The most common biological disorders were anemia (95.5%), followed by hyperkalemia (47.44%) and acidosis (30.77%). The mean hemoglobin level was 7.96 g/dl, with extremes of 2.70 and 15.90 g/dl. Ninety patients with CKD (90.91%) were treated with erythropoietin. Only 86 patients with AKI and CKD (55.1%) received blood transfusion.</p>
    <p>No patient in the CKD group benefited from parathyroid hormone (PTH) or vitamin D testing, as these were not available.</p>
    <p>Ninety-nine patients had CKD, including 73 with end-stage CKD (46.79%) and 57 with AKI (36.54%). Causal nephropathy was dominated by nephroangiosclerosis and diabetic nephropathy in 68.69% and 21.21%, respectively. Nephropathy was of undetermined etiology in 9 cases (0.91%). AKI was of infectious origin with malaria predominating in 36.84%, followed by secondary HIV in 19.3% and urinary tract infection in 8.77%. Obstetric causes were found in 7.02%. Of the 156 patients, 130 underwent emergency hemodialysis, including 74 with CKD and 56 with AKI.</p>
    <p>The first hemodialysis session was performed through a central venous catheter in all patients. 78.4% of patients had a temporary catheter and 16.2% had an arteriovenous fistula (AVF) (<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.143270-"></xref>Table 3. Clinical and paraclinical data for study participants.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="46.43%"><p style="text-align:center">Comorbidity and lifestyle</p></td> 
       <td class="custom-bottom-td acenter" width="26.79%"><p style="text-align:center">Numbers (N)</p></td> 
       <td class="custom-bottom-td acenter" width="26.79%"><p style="text-align:center">Percentage (%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="46.43%"><p style="text-align:center">HTA</p></td> 
       <td class="custom-top-td acenter" width="26.79%"><p style="text-align:center">72</p></td> 
       <td class="custom-top-td acenter" width="26.79%"><p style="text-align:center">46.2</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Diabetes</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">27</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">17.3</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Heart disease</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">13</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">8.3</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Stroke and subdural hematoma</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">4</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">2.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Alcohol</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">27</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">17.3</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Tobacco</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">12</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">7.7</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Obesity</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">9</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">5.8</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Menopause</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">29</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">18.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">CKD</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">23</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">14.7</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">HIV</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">18</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">11.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Hepatitis C</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">11</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">7.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Herbal medicine and/or maraboutage</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">12.8</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Prostate hypertrophy</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">4</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">2.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Serologic status</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">HIV</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">19</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">11.54</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Hpatitis B</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">8</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">5.13</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Hepatitis C</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">11</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">7.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Coinfection HIV + hepatitis C</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">2</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">1.28</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Parameters at first dialysis</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">HTA GRADE 1</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">3</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">1.9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">HTA GRADE 2</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">15</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">9.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">HTA GRADE 3</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">31</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">19.9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">No HTA</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">107</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">68.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Acute pulmonary edema</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">59</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">37.8</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Uremic encephalopathy</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">36</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">23.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Digestive disorders</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">42</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">26.9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Anuria</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">32</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">20.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Anemia</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">149</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">95.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">hyponatremia</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">27</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">28.7</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Hyperkaliemia</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">74</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">47.44</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Hypocalcemia</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">33</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">21.15</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Hyperphosphoremia</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">24</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">15.4</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Acidosis</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">48</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">30.77</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Transfusion</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">No</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">70</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">44.9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Yes</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">86</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">55.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Access</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Temporary catheters</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">218</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">78.4</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Tunneled catheters</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">15</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">5.4</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Arteriovenous fistulas</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">45</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">16.2</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>The mean duration of CKD on hemodialysis was 12 months, with extremes of 1 and 96 months. The mean duration of AKI was 11 days, ranging from 3 to 45 days.</p>
    <p>The duration of hemodialysis sessions ranged from eight to twelve hours per week, with two to three sessions per week. The majority of patients (89.10%) received three sessions per week. Of the 156 patients, 74.36% attended regularly.</p>
    <p>The outcome of AKI was favorable in 40 patients (70.18%), with complete recovery of renal function, and unfavorable in 17 patients (29.82%), all of whom died of multivisceral failure. In our study, the evolution of CKD was marked by the occurrence of 45 deaths (45.45%) (<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.143270-"></xref>Table 4. Development of clinical and paraclinical data.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="46.43%"><p style="text-align:center">Evolution</p></td> 
       <td class="custom-bottom-td acenter" width="26.79%"><p style="text-align:center">Numbers (N)</p></td> 
       <td class="custom-bottom-td acenter" width="26.79%"><p style="text-align:center">Percentage (%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="46.43%"><p style="text-align:center">CKD end stage</p></td> 
       <td class="custom-top-td acenter" width="26.79%"><p style="text-align:center">73</p></td> 
       <td class="custom-top-td acenter" width="26.79%"><p style="text-align:center">41.0</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">AKI/Kidney function recovery</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">57</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">28.8</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">CKD</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">26</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">19.9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Temporary cessation of dialysis</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">12.82</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Mortality</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">62</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">39.7</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">AKI</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">17</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">54.55</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">CKD</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">45</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">45.45</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Live patients</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">94</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">60.3</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">Duration on dialysis (days)</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">0 - 30</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">93</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">59.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">30 - 60</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">13</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">8.3</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">60 - 180</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">17</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">10.9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">180 - 365</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">5</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">3.2</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="46.43%"><p style="text-align:center">&gt;365</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">28</p></td> 
       <td class="acenter" width="26.79%"><p style="text-align:center">18</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>Our work has allowed us to evaluate the epidemio-clinical aspects of acute and chronic hemodialysis patients at the Franceville hemodialysis center in a semi-rural area. The results show that the causes and risk factors of renal failure are the same as those found in the literature, and more specifically, in sub-Saharan areas, morbidity remains high and there is still a long way to go in terms of management.</p>
   <sec id="s4_1">
    <title>4.1. Study Limitations</title>
    <p>The number of participants over a 4-year period may be a weakness of the study. Confounding and selection bias are other limitations that may have occurred in our work. However, this work highlights several epidemiologic data in semi-rural settings that may help in the management of these particular patient populations.</p>
   </sec>
   <sec id="s4_2">
    <title>4.2. Sociodemographic Characteristics</title>
    <p>Headings, Our results show a mean age of 49.92 ± 14.97 years, corresponding to young adults on hemodialysis. Our data were consistent with those reported in the African literature. Indeed, Eyeni DT et al. in 2019 in Brazzaville, evaluating AVF punctures from a dialysis center, reported a mean age of HDCs of 53.87 ± 15.27 years <xref ref-type="bibr" rid="scirp.143270-18">
      [18]
     </xref>. Oumarou Keita also found a mean age of 44.7 years <xref ref-type="bibr" rid="scirp.143270-19">
      [19]
     </xref>. Hermine Fouda in Cameroon reported a mean age of 47.97 years <xref ref-type="bibr" rid="scirp.143270-20">
      [20]
     </xref>. However, in economically developed countries, 50% of chronic hemodialysis patients were older than 60 years <xref ref-type="bibr" rid="scirp.143270-21">
      [21]
     </xref>. This discrepancy could be explained by better access to care and the aging of the Western population, in contrast to the youthfulness of the African population reported in all data in the literature.</p>
    <p>In our study, we found a male predominance of 62.8%. Our results were almost similar to those reported by Diarra et al in Bamako, who found a predominance of 57.6% <xref ref-type="bibr" rid="scirp.143270-22">
      [22]
     </xref>. However, our results were higher than those of Hermine Fouda et al who reported a male predominance of 55% <xref ref-type="bibr" rid="scirp.143270-20">
      [20]
     </xref>. The high frequency of CKD in men may be explained by the rapid progression of chronic kidney disease (CKD) in this population <xref ref-type="bibr" rid="scirp.143270-22">
      [22]
     </xref>. This difference could be due to the influence of male hormones and lifestyle (alcohol, tobacco and herbal medicine) <xref ref-type="bibr" rid="scirp.143270-23">
      [23]
     </xref> <xref ref-type="bibr" rid="scirp.143270-24">
      [24]
     </xref>.</p>
    <p>The most represented socioeconomic level is unemployed (37.8%). Our results were consistent with those reported in the African literature. Indeed, several authors in West and Central Africa have reported an association between low socioeconomic status and chronic hemodialysis patients <xref ref-type="bibr" rid="scirp.143270-20">
      [20]
     </xref> <xref ref-type="bibr" rid="scirp.143270-25">
      [25]
     </xref> <xref ref-type="bibr" rid="scirp.143270-26">
      [26]
     </xref>. In addition, Diallo D et al. reported a low socioeconomic level, very high in the order of 60% <xref ref-type="bibr" rid="scirp.143270-27">
      [27]
     </xref>. The frequent reports in the literature of a higher prevalence of chronic kidney disease in populations with low socioeconomic status could be explained by the frequent use of prohibited drugs on the parallel market, herbal medicine and late consultation of specialists <xref ref-type="bibr" rid="scirp.143270-27">
      [27]
     </xref> <xref ref-type="bibr" rid="scirp.143270-28">
      [28]
     </xref>.</p>
   </sec>
   <sec id="s4_3">
    <title>4.3. Hemodialysis Patients and Comorbidities</title>
    <p>We found arterial hypertension to be the most common comorbidity in chronic hemodialysis patients: 46.2% in our study. Our results were significantly lower than those reported by A. Al Adloui et al. and W. Berrachdi, who reported frequencies of 89.7% and 84.30%, respectively <xref ref-type="bibr" rid="scirp.143270-23">
      [23]
     </xref> <xref ref-type="bibr" rid="scirp.143270-29">
      [29]
     </xref>. On the other hand, our results were close to those of Diarra M. et al. and Diallo D. et al. in Mali, with frequencies of 44.10% and 42%, respectively <xref ref-type="bibr" rid="scirp.143270-22">
      [22]
     </xref> <xref ref-type="bibr" rid="scirp.143270-27">
      [27]
     </xref>. Hypertension was followed by diabetes (17.3%) and heart disease (4.3%). Hemodialysis patients in Gabon have a high cardiovascular risk, as reported in other sub-Saharan African countries <xref ref-type="bibr" rid="scirp.143270-22">
      [22]
     </xref> <xref ref-type="bibr" rid="scirp.143270-29">
      [29]
     </xref> <xref ref-type="bibr" rid="scirp.143270-30">
      [30]
     </xref>.</p>
   </sec>
   <sec id="s4_4">
    <title>4.4. Kidney Disease as a Cause of Renal Failure</title>
    <p>Ninety-nine patients had chronic renal failure, 73 of them end-stage (46.79%), and 57 patients had acute renal failure (36.54%).</p>
    <p>The causative nephropathy of CKD was dominated by nephroangiosclerosis and diabetes in 68.69% and 21.21%, respectively. Our results were consistent with those reported in the African literature <xref ref-type="bibr" rid="scirp.143270-22">
      [22]
     </xref> <xref ref-type="bibr" rid="scirp.143270-29">
      [29]
     </xref> <xref ref-type="bibr" rid="scirp.143270-30">
      [30]
     </xref>. However, Diarra M. et al. and Diallo D. et al. in Mali reported hypertension as the main cause of CKD with lower frequencies of 44.10% and 42% respectively <xref ref-type="bibr" rid="scirp.143270-22">
      [22]
     </xref> <xref ref-type="bibr" rid="scirp.143270-27">
      [27]
     </xref>.</p>
    <p>The role of hypertension in the development of vascular nephropathy is well established in the international literature. The relative risk of progression to cirrhosis is multiplied by eight when hypertension is severe in blacks, a genetic predisposition of the black race to develop cirrhosis more rapidly <xref ref-type="bibr" rid="scirp.143270-31">
      [31]
     </xref> <xref ref-type="bibr" rid="scirp.143270-32">
      [32]
     </xref>.</p>
    <p>This is due to an increase in behavioral changes, where the population indulges in a diet copied from the West and poorly controlled (excessive sugar, salt, polysaturated fats, etc.); and bad habits and lifestyles such as smoking, alcoholism, etc. There is also poor control and therapeutic follow-up of most of our patients, who disappear into thin air or go to traditional practitioners for treatment.</p>
    <p>The incidence of autosomal dominant polycystic kidney disease (ADPKD), which is responsible for chronic renal failure, was relatively low in our study: 2% of cases. Our results were similar to those reported by Diarra et al. in Mali, who found 1.7% of PKRAD in the hemodialysis unit of CHU du Point-G <xref ref-type="bibr" rid="scirp.143270-22">
      [22]
     </xref>. In addition, Aichât O KEITA in Côte d’Ivoire also reported results similar to ours, in the order of 2.50% cases of polycystic kidney disease <xref ref-type="bibr" rid="scirp.143270-20">
      [20]
     </xref>.</p>
    <p>ARIs were of infectious origin, with malaria predominant in 36.84%, followed by secondary HIV in 19.3%. The causes were mainly infectious and toxic, as reported in the study by Guei et al. <xref ref-type="bibr" rid="scirp.143270-33">
      [33]
     </xref>. Malaria was the most common infectious cause. Malaria-related AKI mainly affects adults and older children, with a prevalence ranging from 1% to 4% <xref ref-type="bibr" rid="scirp.143270-34">
      [34]
     </xref> <xref ref-type="bibr" rid="scirp.143270-35">
      [35]
     </xref>.</p>
    <p>Progression was favorable in 28.8% of cases. However, the mortality rate was 39.7%. Our results differed from those reported by Tia et al., who found a mortality rate of 21.9% in hemodialysis patients over three decades. They also differed from those reported by Bensalem et al. in Tunisia in 2015, who found a mortality rate of 4% <xref ref-type="bibr" rid="scirp.143270-36">
      [36]
     </xref>. The higher percentage of patients who died could be explained by a late consultation and a long therapeutic course. In fact, the majority of patients resort to self-medication, sometimes combined with traditional therapy, from the onset of symptoms. They only go to the hospital when the symptoms worsen.</p>
    <p>This is the first descriptive study to assess the epidemiologic profile of hemodialysis patients in a semi-rural area of Gabon. It thus provides a basis for evaluating the implementation of hemodialysis units in rural and semi-rural areas and strategies for managing these populations.</p>
   </sec>
   <sec id="s4_5">
    <title>4.5. Conclusions</title>
    <p>In Gabon, dialysis has developed significantly in recent years, with the opening of centers in the provinces (Haut Ogooué and Ogooué Maritime, whose main cities are Franceville and Port-Gentil). Despite the difficulties of remoteness and supply of consumables, our research has shown the social and economic benefits of opening hemodialysis centers in the provinces. However, we recommend that the country’s health authorities facilitate access to certain drugs and paraclinical tests essential for monitoring nephrology patients (cardiovascular check-up, martial check-up, parathormone dosage, vitamin D dosage).</p>
    <p>In rural or semi-rural areas, it would also be useful to develop cost-effectiveness strategies, partnerships and/or awareness and training programs for local health care providers.</p>
   </sec>
  </sec><sec id="s5">
   <title>Acknowledgements</title>
   <p>The authors thank the authorities of CHUAB and the Centre d’hémodialyse Franceville for permission to conduct the study.</p>
  </sec><sec id="s6">
   <title>Author Contributions</title>
   <p>All authors participated in the drafting of the manuscript. They have read and approved the final version.</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.143270-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bikbov, B., Purcell, C.A., Levey, A.S., Smith, M., Abdoli, A., Abebe, M., et al. (2020) Global, Regional, and National Burden of Chronic Kidney Disease, 1990-2017: A Systematic Analysis for the Global Burden of Disease Study 2017. The Lancet, 395, 709-733. 
     <u>&gt;https://doi.org/10.1016/s0140-6736(20)30045-3</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Romagnani, P., Remuzzi, G., Glassock, R., Levin, A., Jager, K.J., Tonelli, M., et al. (2017) Chronic Kidney Disease. Nature Reviews Disease Primers, 3, Article No. 17088. 
     <u>&gt;https://doi.org/10.1038/nrdp.2017.88</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lemrabott, A.T., Moustapha Cisse, M., Fary Ka, E., Seck, S.M., Faye, M., Sarr, M., et al. (2015) Prevalence and the Risk Factors of Renal Insufficiency in the City of Saint Louis in Senegal. Open Journal of Nephrology, 5, 83-90. 
     <u>&gt;https://doi.org/10.4236/ojneph.2015.53013</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ammirati, A.L. (2020) Chronic Kidney Disease. Revista da Associação Médica Brasileira, 66, s03-s09. 
     <u>&gt;https://doi.org/10.1590/1806-9282.66.s1.3</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Stengel, B. (2003) Trends in the Incidence of Renal Replacement Therapy for End-Stage Renal Disease in Europe, 1990-1999. Nephrology Dialysis Transplantation, 18, 1824-1833. 
     <u>&gt;https://doi.org/10.1093/ndt/gfg233</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Micah, A.E., Chen, C.S., Zlavog, B.S., Hashimi, G., Chapin, A. and Dieleman, J.L. (2019) Trends and Drivers of Government Health Spending in Sub-Saharan Africa, 1995-2015. BMJ Global Health, 4, e001159. 
     <u>&gt;https://doi.org/10.1136/bmjgh-2018-001159</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Stanifer, J.W., Jing, B., Tolan, S., Helmke, N., Mukerjee, R., Naicker, S., et al. (2014) The Epidemiology of Chronic Kidney Disease in Sub-Saharan Africa: A Systematic Review and Meta-Analysis. The Lancet Global Health, 2, e174-e181. 
     <u>&gt;https://doi.org/10.1016/s2214-109x(14)70002-6</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kaze, A.D., Ilori, T., Jaar, B.G. and Echouffo-Tcheugui, J.B. (2018) Burden of Chronic Kidney Disease on the African Continent: A Systematic Review and Meta-Analysis. BMC Nephrology, 19, Article No. 125. 
     <u>&gt;https://doi.org/10.1186/s12882-018-0930-5</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sumaili, E.K., Ekulu, P.M., Pakasa, N.M., Tshala-Katumbay, D. and Nseka, N.M. (2021) Nephrology in the Democratic Republic of the Congo. In: Moura-Neto, J.A., Divino-Filho, J.C. and Ronco, C., Eds., Nephrology Worldwide, Springer, 25-34. 
     <u>&gt;https://doi.org/10.1007/978-3-030-56890-0_3</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sumaili, E.K. (2023) Santé rénale pour tous en Afrique subsaharienne: Défis et perspectives. Annales Africaines de Medecine, 16, e5024-e5029. 
     <u>&gt;https://doi.org/10.4314/aamed.v16i2.1</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Odubanjo, M.O., Okolo, C.A., Oluwasola, A.O. and Arije, A. (2011) End-Stage Renal Disease in Nigeria: An Overview of the Epidemiology and the Pathogenetic Mechanisms. Saudi Journal of Kidney Diseases and Transplantation, 22, 1064-1071.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Makao, A.I., Essola, L., Bitégué, M.L., Manga, F., Obiang, P.N., Oliviera, S., Zué, A.S., et al. (2024) Devenir à Long Terme des Patients COVID-19 en Insuffisance Rénale Aiguë au Centre Hospitalier Universitaire de Libreville. Health Sciences and Disease, 25, 46-50.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nikiema-Ndong, R., Bengone, A.S.M., Lendoye, E., Bikoro-Bi-Assoumou, A.P., Batou, A.S. and Abessolo, F.O. (2024) Phosphocalcic Profile of Chronic Kidney Disease at Libreville. International Journal of Biochemistry Research&amp;Review, 33, 1-10. 
     <u>&gt;https://doi.org/10.9734/ijbcrr/2024/v33i5871</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lengelé, J.P., Delmotte, P. and Persu, A. (2017) Prise en charge thérapeutique de l’hypertension artérielle. Médecine science, 40, 267-277.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Moulin, B. and Peraldi, M.N. (2014) Néphrologie. 6ième édition, Ellipses.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Abel, N., Contino, K., Jain, N., Grewal, N., Grand, E., Hagans, I., et al. (2015) Eighth Joint National Committee (JNC-8) Guidelines and the Outpatient Management of Hypertension in the African-American Population. North American Journal of Medical Sciences, 7, 438-445. 
     <u>&gt;https://doi.org/10.4103/1947-2714.168669</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bloch, A. and Merz, T. (2015) Instabilité hémodynamique. Forum Médical Suisse—Swiss Medical Forum, 15, 592-599. 
     <u>&gt;https://doi.org/10.4414/fms.2015.02321</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Favre, N., Burnier, M. and Kissling, S. (2016) Quand appeler le néphrologue aux urgences? Revue Médicale Suisse, 12, 398-403. 
     <u>&gt;https://doi.org/10.53738/revmed.2016.12.507.0398</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sinomono, D.E., Beri, R.M., Ngabe, E.G., Missamou, A., Mahoungou, G.H., Loumingou, R.M., Houssain, T.S., et al. (2021) Analyse Descriptive de la Population des Hémodialysés Chroniques au Congo-Brazzaville. Health Sciences and Disease, 22, 57-62.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Keïta, A.O. (2007) Hémodialyse chronique: Profil épidémio-clinique et évolutif des complications per dialytiques dans service de néphrologie et d’hémodialyse du CHU du Point G. Master’s Thesis, Université des sciences, des techniques et des technologies de Bamako.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Fouda, H., Ashuntantang, G., Kaze, F. and Halle, M. (2017) La survie en hémodialyse chronique au Cameroun. Pan African Medical Journal, 26, Article 97. 
     <u>&gt;https://doi.org/10.11604/pamj.2017.26.97.9658</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Diarra, M. (2009) Evaluation du traitement de l’insuffisance rénale chronique terminale par l’hémodialyse du 01 janvier au 31 décembre 2008 dans le service de Néphrologie et d’hémodialyse du CHU du point G. Master’s Thesis, University of Science, Techniques and Technologies of Bamako.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Al Adlouni, A., Bassit, N., Fadili, W. and Laouad, I. (2011) Évaluation des facteurs de risques cardiovasculaires chez nos hémodialysés chroniques selon les recommandations de la K/DOQI. Néphrologie&amp;Thérapeutique, 7, 323-324. 
     <u>&gt;https://doi.org/10.1016/j.nephro.2011.07.136</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     El, M.R., Bahadi, A., Hamzi, M.A., Kabbaj, D. and Benyahia, M. (2013) Profil des insuffisants rénaux chroniques diabétiques à l’initiation de l’hémodialyse au service de néphrologie et dialyse de l’hôpital militaire de Rabat, Maroc. Pan African Medical Journal, 15, Article 124. 
     <u>&gt;https://doi.org/10.11604/pamj.2013.15.124.2252</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Macron-Noguès, F., Vernay, M., Ekong, E., Thiard, B., Salanave, B. and Fender, P. (2007) La prévalence de l’insuffisance rénale chronique terminale traitée par dialyse en France. Pratiques et organisation des soins, 2, 103-109.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref26">
    <label>26</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Amoako, Y.A., Laryea, D.O., Bedu-Addo, G., Andoh, H. and Awuku, Y.A. (2014) Clinical and Demographic Characteristics of Chronic Kidney Disease Patients in a Tertiary Facility in Ghana. Pan African Medical Journal, 18, Article 274. 
     <u>&gt;https://doi.org/10.11604/pamj.2014.18.274.4192</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref27">
    <label>27</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Diallo, D., Yattara, H., Togo, A., Djiguiba, K., Kodio, A., Seydou, S., Touré, A., et al. (2020) Profil épidémiologique, clinique et évolutif des patients en Hémodialyse chronique dans le service de néphrologie et d’Hémodialyse du CHU du point G. Mali medical, 5, 1-5.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref28">
    <label>28</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Touiti, N., Iken, I., Chebaibi, M., Achour, S. and Sqalli Houssaini, T. (2018) Étude de la néphrotoxicité induite par les plantes chez les patients du service de néphrologie. Toxicologie Analytique et Clinique, 30, S63. 
     <u>&gt;https://doi.org/10.1016/j.toxac.2018.04.084</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref29">
    <label>29</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Berrachdi, W., Batouche, D.D., Sadaoui, L. and Benatta, N.F. (2017) Prévalence des complications cardiovasculaires chez l’insuffisant rénal chronique dialysé à Oran. Néphrologie&amp;Thérapeutique, 13, 389-390. 
     <u>&gt;https://doi.org/10.1016/j.nephro.2017.08.287</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref30">
    <label>30</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zinga Vuvu, C., Nszka Mangani, N., Mesia Kahunu, G., Lepira Bompeka, F. and Tona Lutete, G. (2012) Néphrotoxicité induite par les plantes médicinales utilisées en République démocratique du Congo. Revue d’Épidémiologie et de Santé Publique, 60, S103. 
     <u>&gt;https://doi.org/10.1016/j.respe.2012.06.217</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref31">
    <label>31</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Samaké, M., Sy, S., Yattara, H., Fofana, A. S., Coulibaly, M., Diallo, D., Fongo-ro, S., et al. (2020) Prévalence et Évolution de l’Hypertension Artérielle chez les Hémodi-alysés Chroniques au Service de Néphrologie du CHU du Point G. Health Sciences and Disease, 21, 65-69.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref32">
    <label>32</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Halimi, J. (2014) Hypertension artérielle, atteinte rénale et génétique chez le sujet noir: Mise au point. Annales de Cardiologie et d’Angéiologie, 63, 189-191. 
     <u>&gt;https://doi.org/10.1016/j.ancard.2014.05.010</u>
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref33">
    <label>33</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Guei, M.C., Patrick, D.S., Cyr, G.M., Sanogo, S., Jean, A.A.A., Assa, O. and Hu-bert, Y.K. (2021) Insuffisance renale aigue et hemodialyse: Aspects cliniques, biologiques et evolutifs au service de neph-rologie-medecine interne d du chu de treichville. Health Sciences and Disease, 22, 7-14.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref34">
    <label>34</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Krishna, C.V.R., Rao, P.S., Das, G.C. and Kumar, V.S. (2012) Acute Renal Failure in Falciparum Malaria: Clinical Characteristics, Demonstration of Oxidative Stress, and Prognostication. Saudi Journal of Kidney Diseases and Transplantation, 23, 296-300.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref35">
    <label>35</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Maheshwari, A., Singh, A.K., Sinha, D.K., Tripathi, K. and Prakash, J. (2004) Spectrum of Renal Disease in Malaria. Journal of the Indian Medical Association, 102, 143-146.
    </mixed-citation>
   </ref>
   <ref id="scirp.143270-ref36">
    <label>36</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bensalem, M., Frih, A., Ghali, M., Elhmidi, K., Gazouini, N., Hamouda, M., et al. (2015) Hémodialyse en situation d’urgence: À propos de 114 cas. Néphrologie&amp;Thérapeutique, 11, 297-298. 
     <u>&gt;https://doi.org/10.1016/j.nephro.2015.07.093</u>
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>