<?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.2025.151009
   </article-id>
   <article-id pub-id-type="publisher-id">
    ojneph-141161
   </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>
    Emergency Hemodialysis at the Fousseyni Daou Hospital in Kayes, Mali
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Aboubacar Sidiki
      </surname>
      <given-names>
       Fofana
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Magara
      </surname>
      <given-names>
       Samaké
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Seydou
      </surname>
      <given-names>
       Sy
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref> 
     <xref ref-type="aff" rid="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Sah dit Baba
      </surname>
      <given-names>
       Coulibaly
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref> 
     <xref ref-type="aff" rid="aff5"> 
      <sup>5</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Niakalé
      </surname>
      <given-names>
       Diakité
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Pinda
      </surname>
      <given-names>
       Tounkara
      </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>
       Djénéba
      </surname>
      <given-names>
       Maiga
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Moctar
      </surname>
      <given-names>
       Coulibaly
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref> 
     <xref ref-type="aff" rid="aff6"> 
      <sup>6</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Ousmane Singadou Youssouf
      </surname>
      <given-names>
       Djiguiba
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref> 
     <xref ref-type="aff" rid="aff7"> 
      <sup>7</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Nouhoum
      </surname>
      <given-names>
       Coulibaly
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref> 
     <xref ref-type="aff" rid="aff8"> 
      <sup>8</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Modi
      </surname>
      <given-names>
       Sidibé
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Hamadoun
      </surname>
      <given-names>
       Yattara
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref> 
     <xref ref-type="aff" rid="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Saharé
      </surname>
      <given-names>
       Fongoro
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aNephrology Unit, Fousseyni Daou Hospital, Kayes, Mali
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aNational Center of Scientific and Technology Recherche, Bamako, Mali
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aNephrology and Haemodialysis Department of the Point G Hospital, Bamako, Mali
    </addr-line> 
   </aff> 
   <aff id="aff4">
    <addr-line>
     aFaculty of Medicine and Odontostomatology of the University of Science, Technical and Technologies of Bamako, Bamako, Mali
    </addr-line> 
   </aff> 
   <aff id="aff5">
    <addr-line>
     aMedical and Chirurgical Center of Armies for Bamako, Bamako, Mali
    </addr-line> 
   </aff> 
   <aff id="aff6">
    <addr-line>
     aNephrology Unit, Mali Gavardo Hospital, Bamako, Mali
    </addr-line> 
   </aff> 
   <aff id="aff7">
    <addr-line>
     aNephrology Unit of the Commune IV District Hospital, Bamako, Mali
    </addr-line> 
   </aff> 
   <aff id="aff8">
    <addr-line>
     aNephrology Unit of the Commune V Reference Health Center, Bamako, Mali
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     17
    </day> 
    <month>
     01
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    01
   </issue>
   <fpage>
    90
   </fpage>
   <lpage>
    104
   </lpage>
   <history>
    <date date-type="received">
     <day>
      30,
     </day>
     <month>
      January
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      9,
     </day>
     <month>
      January
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      9,
     </day>
     <month>
      March
     </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>
    <b>:</b> Emergency hemodialysis (EH) is a frequent occurrence in sub-Saharan Africa and is associated with high mortality. The aim of this study was to describe the epidemio-clinical profile of emergency hemodialysis patients at the Fousseyni Daou Hospital in Kayes, Mali. 
    <b>Methodology:</b> This was a descriptive study with retrospective data collection carried out on patients undergoing emergency hemodialysis for the first time at the hemodialysis unit of the Kayes Hospital from July 24, 2023 to July 24, 2024. 
    <b>Results</b>
    <b>:</b> During the study period, 110 patients underwent emergency hemodialysis, with a mean age of 44.63 ± 18.02 years. Females accounted for 54.5%. A history of high blood pressure (HBP) was found in 71.8% of cases. Functional signs were dominated by physical asthenia and vomiting in 92.7% and 83.6% of cases respectively. On physical assessment, 21.8% of patients showed pericardial friction on auscultation. Eighty-nine patients (80.9%) were in chronic kidney disease (CKD) versus 21 cases (19.1%) of severe acute kidney injury (AKI) KDIGO stage 3. Patients had a mean hemoglobin level of 7.08 ± 2.01 g/dl. Initial nephropathy in CKD patients was dominated by malignant hypertension in 38 cases (42.7%). Urgent indications for hemodialysis were uremic syndrome with encephalopathy or coma (70%), anuria lasting more than 48 hours with severe renal failure (11.8%), acute lung edema (7.1%), uremic pericarditis (6.4%) and severe hyperkalemia (4.5%). The outcome was favorable in 71 patients (64.3%) versus 24 cases of death (21.8%) and 15 cases of abandonment of care against medical advice (13.6%). We noted total recovery of renal function in 16 patients (14.5%) out of 21 with AKI, versus 4 cases (3.6%) of partial recovery. The risk of mortality was mainly associated with uraemic coma and severe azotemia (urea &gt; 30 mmol/l) at the time of dialysis initiation (P &lt; 0.05). 
    <b>Conclusion:</b> Emergency hemodialysis is a frequent situation associated with high mortality at Kayes Hospital. Promoting the geographical accessibility of hemodialysis and ensuring its management is the key to better patient survival.
   </abstract>
   <kwd-group> 
    <kwd>
     Renal Failure
    </kwd> 
    <kwd>
      Emergency Hemodialysis
    </kwd> 
    <kwd>
      Fousseyni Daou Hospital in Kayes
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Chronic kidney disease (CKD) has become a public health problem worldwide, particularly in Sub-Saharan Africa, due to its increasing frequency <xref ref-type="bibr" rid="scirp.141161-1">
     [1]
    </xref>. In recent decades, the number of people on dialysis has been estimated at 2.6 million worldwide, and statistics suggest that the number will double by 2030 <xref ref-type="bibr" rid="scirp.141161-2">
     [2]
    </xref>.</p>
   <p>The frequency and lethality of emergency hemodialysis (EH) vary widely from country to country. According to data from an American meta-analysis, undocumented immigrants with end-stage renal disease treated with emergency hemodialysis have a higher 3-year mortality rate than patients who received standard hemodialysis <xref ref-type="bibr" rid="scirp.141161-3">
     [3]
    </xref>. In Madagascar, the frequency of EH was 41.93% at Joseph Raseta Befelatanana Hospital, with a mortality rate of 23.08% <xref ref-type="bibr" rid="scirp.141161-4">
     [4]
    </xref>.</p>
   <p>In Mali’s capital, out of 62 EH performed at the Point G University Hospital in 2020, the case fatality rate was 69.35% <xref ref-type="bibr" rid="scirp.141161-5">
     [5]
    </xref>. The low socio-economic level in our context has a major impact on the regular follow-up of nephrology patients, who generally reach the advanced stages of CKD complications <xref ref-type="bibr" rid="scirp.141161-6">
     [6]
    </xref> <xref ref-type="bibr" rid="scirp.141161-7">
     [7]
    </xref>. As a result, hemodialysis (HD) carried out on an emergency basis, i.e., immediately or within the first 48 hours, in the face of a life-threatening situation, is responsible for a high morbi-mortality rate, with a deterioration in quality of life, longer hospital stays and increased cost of care <xref ref-type="bibr" rid="scirp.141161-8">
     [8]
    </xref> <xref ref-type="bibr" rid="scirp.141161-9">
     [9]
    </xref>.</p>
   <p>To date, no data are available on EH in a regional health facility in Mali, hence the initiative to carry out this study, which aims to describe the epidemioclinical profile of emergency hemodialysis patients at the Fousseyni Daou Hospital in Kayes, Mali.</p>
  </sec><sec id="s2">
   <title>2. Methodology</title>
   <sec id="s2_1">
    <title>2.1. Type and Period of Study</title>
    <p>This was a descriptive study with retrospective data collection carried out at the haemodialysis unit of Kayes Hospital from July 24, 2023 to July 24, 2024.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Sampling</title>
    <p>The study population consisted of all hemodialysis patients in the unit during the study period, regardless of race or age.</p>
    <p>For a frequency of emergency dialysis of 61%, and assuming a confidence level of 95% and a margin of error of 5%, the sample size should be n = 1.96<sup>2</sup> × 0.61 × 0.6/0.05<sup>2</sup> = 562.4, i.e., approximately 562 patients.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Inclusion Criteria</title>
    <p>All patients undergoing hemodialysis for the first time in an emergency situation with acute kidney injury (AKI) or chronic kidney disease (CKD) and a complete medical record were included.</p>
   </sec>
   <sec id="s2_4">
    <title>2.4. Non-Inclusion Criteria</title>
    <p>Not included were cases of scheduled dialysis without immediate vital urgency, and patients with incomplete records.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Data Collection</title>
   <p>Data were collected from patients’ individual medical records (consultation register, hospitalization record, dialysis record). Using the medical records, data were collected on an individual survey form including:</p>
   <p>- Socio-demographic data included age, gender, socio-economic level (group I = senior government and/or private sector executives and import-export traders, group II = government and/or private sector employees and medium-sized traders, group III = manual workers, peasants, retail traders, and casual urban workers, provenances), insurance coverage or not. Group III represented patients with low socio-economic status.</p>
   <p>- The clinical data sought were gastrointestinal symptoms (hiccups, anorexia, nausea, vomiting, gastrointestinal haemorrhage, constipation, diarrhoea), cardiovascular symptoms (hypertension, congestive heart failure, pericarditis, acute pulmonary oedema, cardiac arrhythmia, cardiomyopathy, accelerated atherosclerosis), respiratory symptoms (Kusmaul respiration, bronchopneumopathy, pleurisy), urinary symptoms (increased or decreased frequency of micturition, nocturia), skin symptoms (palpebral edema, facial puffiness, peripheral edema, pallor, pruritus, scratch lesions), neuromuscular symptoms (headache, sleep disorders, confusion, temporo-spatial disorientation, muscle weakness, myoclonus, cramps, convulsions, coma) and symptoms of mineral-bone disorders (bone pain, bone fractures).</p>
   <p>- The risk factors investigated were classic (tobacco, alcohol, drugs, obesity, sedentary lifestyle, hypertension, diabetes, dyslipidemia) and specific to CKD (fluid retention, phosphocalcic disorders, anemia, left ventricular hypertrophy, homocysteinemia, arteriovenous fistula).</p>
   <p>- Biological tests included blood tests (hemogram, urea, creatinemia, uric acid, ionogram, phosphocalcic balance, martial balance, lipid balance, vitamin balance, albuminemia, protidemia, transaminases and infectious diseases), urine tests (urine cytobacteriological study, 24-hour proteinuria, urine ionogram). The standards used were those of the Kayes region laboratories. In the absence of gasometry, severe metabolic acidosis was clinically evoked by the presence of Küssmaul respiration with free lungs on auscultation.</p>
   <p>- Renal ultrasound was used to assess size, cortico-medullary differentiation and the presence or absence of kidney dilatation.</p>
   <p>- Signs of acute pulmonary oedema (APO), pleurisy, cardiomegaly and pulmonary infection were detected by chest radiography.</p>
   <p>- Electrocardiogram (ECG) and echocardiography were used to detect various cardiac abnormalities.</p>
   <p>- The fundus was examined for signs of hypertensive and/or diabetic retinopathy.</p>
   <p>- Data on vascular access included type of approach and time between catheter insertion and removal.</p>
   <p>- The absence of renal biopsy, the etiology of renal failure was based on available clinical and paraclinical arguments.</p>
   <p>- Patients’ progress within 30 days of the first dialysis session was assessed. We chose this duration because of the higher mortality during the first month of dialysis <xref ref-type="bibr" rid="scirp.141161-4">
     [4]
    </xref> <xref ref-type="bibr" rid="scirp.141161-9">
     [9]
    </xref>. It included lethality, total recovery of renal function in HD, partial recovery of renal function in HD and maintenance in chronic HD.</p>
   <sec id="s3_1">
    <title>3.1. Definition Criteria</title>
    <p>- Emergency hemodialysis was defined in a patient as “the very first HD session occurring immediately within 24 hours of a nephrological evaluation, due to a risk deemed vital, consecutive to threatening hyperhydration, hyperkalemia, acidosis, poorly tolerated anemia, pericarditis or uremic confusion” <xref ref-type="bibr" rid="scirp.141161-2">
      [2]
     </xref>.</p>
    <p>HD was classically indicated as an emergency treatment for:</p>
    <p>- Severe hyperkalemia ≥ 7.5 mmol/l refractory to drug measures according to ECG.</p>
    <p>- Clinical metabolic acidosis with inadequate ventilatory compensation, with no margin for correction by bicarbonate in the event of hypervolemia.</p>
    <p>- PAO refractory to diuretic treatment.</p>
    <p>- Uremic syndrome with encephalopathy (asterixis, confusion or coma) or pericardial friction <xref ref-type="bibr" rid="scirp.141161-10">
      [10]
     </xref>.</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Data Entry and Analysis</title>
    <p>Data were analyzed using SPSS 20 French version and R studio software. Writing was done on Word 2016.</p>
    <p>Quantitative variables were presented as averages, and qualitative variables as frequencies and percentages. Complete case (or available case) analysis was used in the case of missing data.</p>
    <p>The statistical test used was Pearson’s Chi-square, with a P value less than or equal to 0.05 considered significant. The association between the variable and mortality risk was assessed by odds ratio with 95% confidence interval, using a logistic regression model.</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Ethical Considerations</title>
    <p>The study complied with the ethical standards of our institution’s research committee. Each patient and/or family was informed of the objectives of the study, the use of data for research purposes and the anonymity of the data collected. Informed consent was obtained.</p>
   </sec>
  </sec><sec id="s4">
   <title>4. Results</title>
   <table-wrap id="table1">
    <label>
     <xref ref-type="table" rid="table1">
      Table 1
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141161-"></xref>Table 1. Patient socio-demographic data (N = 110).</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="58.48%"><p style="text-align:center">Socio-demographic data</p></td> 
      <td class="custom-bottom-td acenter" width="23.04%"><p style="text-align:center">Number</p></td> 
      <td class="custom-bottom-td acenter" width="18.47%"><p style="text-align:center">Percentage</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="58.48%"><p style="text-align:center">Gender</p></td> 
      <td class="custom-top-td acenter" width="23.04%"><p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="18.47%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="58.48%"><p style="text-align:center">Male</p></td> 
      <td class="acenter" width="23.04%"><p style="text-align:center">50</p></td> 
      <td class="acenter" width="18.47%"><p style="text-align:center">45.5</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="58.48%"><p style="text-align:center">Female</p></td> 
      <td class="custom-bottom-td acenter" width="23.04%"><p style="text-align:center">60</p></td> 
      <td class="custom-bottom-td acenter" width="18.47%"><p style="text-align:center">54.5</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="58.48%"><p style="text-align:center">Age range (years)</p></td> 
      <td class="custom-top-td acenter" width="23.04%"><p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="18.47%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="58.48%"><p style="text-align:center">3 - 20</p></td> 
      <td class="acenter" width="23.04%"><p style="text-align:center">9</p></td> 
      <td class="acenter" width="18.47%"><p style="text-align:center">8.2</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="58.48%"><p style="text-align:center">21 - 40</p></td> 
      <td class="acenter" width="23.04%"><p style="text-align:center">39</p></td> 
      <td class="acenter" width="18.47%"><p style="text-align:center">35.5</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="58.48%"><p style="text-align:center">41 - 60</p></td> 
      <td class="acenter" width="23.04%"><p style="text-align:center">42</p></td> 
      <td class="acenter" width="18.47%"><p style="text-align:center">38.2</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="58.48%"><p style="text-align:center">&gt;60</p></td> 
      <td class="custom-bottom-td acenter" width="23.04%"><p style="text-align:center">20</p></td> 
      <td class="custom-bottom-td acenter" width="18.47%"><p style="text-align:center">18.2</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="58.48%"><p style="text-align:center">Socio-economic level Low</p></td> 
      <td class="custom-top-td acenter" width="23.04%"><p style="text-align:center">95</p></td> 
      <td class="custom-top-td acenter" width="18.47%"><p style="text-align:center">86.4</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="58.48%"><p style="text-align:center">Medium</p></td> 
      <td class="acenter" width="23.04%"><p style="text-align:center">14</p></td> 
      <td class="acenter" width="18.47%"><p style="text-align:center">12.7</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="58.48%"><p style="text-align:center">High</p></td> 
      <td class="custom-bottom-td acenter" width="23.04%"><p style="text-align:center">1</p></td> 
      <td class="custom-bottom-td acenter" width="18.47%"><p style="text-align:center">0.9</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="58.48%"><p style="text-align:center">Insurance</p></td> 
      <td class="custom-top-td acenter" width="23.04%"><p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="18.47%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="58.48%"><p style="text-align:center">Yes</p></td> 
      <td class="acenter" width="23.04%"><p style="text-align:center">15</p></td> 
      <td class="acenter" width="18.47%"><p style="text-align:center">13.6</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="58.48%"><p style="text-align:center">No</p></td> 
      <td class="acenter" width="23.04%"><p style="text-align:center">95</p></td> 
      <td class="acenter" width="18.47%"><p style="text-align:center">86.4</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>Mean age: 44.63 ± 18.02 years, extremes: 3 and 88 years.</p>
   <p>During the study period, out of 178 hemodialysis patients, 110 underwent dialysis in an emergency setting, representing a prevalence of 61.79%.</p>
   <p>The mean age of patients was 44.63 ± 18.02 years, with extremes of 3 and 88 years. Females accounted for 54.5% (60 cases). Hypercreatininemia was the main reason for hospitalization, accounting for 98.2% (108 cases), with a mean admission value of 1846.2 µmol/l and extremes of 461 and 3300 µmol/l. One patient out of two came from the emergency department of the facility. 86.4% of patients were uninsured and of low socio-economic status (<xref ref-type="table" rid="table1">
     Table 1
    </xref>).</p>
   <p>A history of hypertension was found in 71.8% (79 cases), with irregular follow-up in 94.9% of patients and a mean duration of hypertension of 4.89 ± 4.65 years. Patients were known diabetics in 10.9% (12 cases). Functional signs were dominated by physical asthenia, vomiting, anorexia and nausea in 92.7%, 83.6%, 80.9% and 67.3% respectively. At physical assessment, 56.4% of patients were suffering from fluid retention, compared with 16.4% from dehydration. Twenty-four patients (21.8%) had pericardial friction on cardiac auscultation (<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.141161-"></xref>Table 2. Clinical data.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="57.28%"><p style="text-align:center">Clinical data</p></td> 
      <td class="custom-bottom-td acenter" width="21.37%"><p style="text-align:center">Number</p></td> 
      <td class="custom-bottom-td acenter" width="21.35%"><p style="text-align:center">Percentage</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="57.28%"><p style="text-align:left">Antecedents </p></td> 
      <td class="custom-top-td acenter" width="21.37%"><p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="21.35%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Hypertension</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">79</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">71.8</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Diabetes</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">6</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">5.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Functional signs </p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Asthenia</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">102</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">92.7</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Vomiting</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">92</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">83.6</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Anorexia</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">89</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">80.9</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Nausea</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">74</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">67.3</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Vertigo</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">64</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">58.2</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Effort dyspnea</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">49</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">44.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Physical signs </p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Conjonctival pallor</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">98</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">89.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Heart murmur</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">57</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">58.1</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Pulmonary crackling</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">52</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">47.3</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Edema of lower limbs</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">62</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">56.4</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Pericardial friction</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">24</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">21.8</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="57.28%"><p style="text-align:left">Dehydratation</p></td> 
      <td class="acenter" width="21.37%"><p style="text-align:center">18</p></td> 
      <td class="acenter" width="21.35%"><p style="text-align:center">16.4</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>The blood pressure profile according to the WHO classification revealed grade 3 hypertension in 26.4% of patients, and Grades 2 and 1 in 30.9% and 20% of cases respectively.</p>
   <p>Eighty-nine patients (80.9%) were in chronic end-stage renal failure versus 21 cases (19.1%) of severe acute renal failure, KDIGO stage 3. Patients had a mean hemoglobin level of 7.08 ± 2.01 g/dl, including 57.3% (63 patients) with a hemoglobin level below 8 g/dl (<xref ref-type="table" rid="table3">
     Table 3
    </xref>). Blood ionograms showed hypocalcemia, hyponatremia and hyperkalemia in 39.1%, 30% and 62.7% of cases respectively.</p>
   <table-wrap id="table3">
    <label>
     <xref ref-type="table" rid="table3">
      Table 3
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141161-"></xref>Table 3. Patients’ biological data.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="79.06%"><p style="text-align:center">Biology</p></td> 
      <td class="custom-bottom-td acenter" width="34.20%"><p style="text-align:center">Mean ± Ecartype</p></td> 
      <td class="custom-bottom-td acenter" width="23.61%"><p style="text-align:center">Extremes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="79.06%"><p style="text-align:center">Hemoglobin (g/dl)</p></td> 
      <td class="custom-top-td acenter" width="34.20%"><p style="text-align:center">7.08 ± 2.00</p></td> 
      <td class="custom-top-td acenter" width="23.61%"><p style="text-align:center">3 to 14</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="79.06%"><p style="text-align:center">Serum creatinine (µmol/l)</p></td> 
      <td class="acenter" width="34.20%"><p style="text-align:center">1819.53 ± 784.7</p></td> 
      <td class="acenter" width="23.61%"><p style="text-align:center">461 to 4087</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="79.06%"><p style="text-align:center">Serum azotemia (mmol/l)</p></td> 
      <td class="acenter" width="34.20%"><p style="text-align:center">38.7 ± 13.12</p></td> 
      <td class="acenter" width="23.61%"><p style="text-align:center">15 to 98</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="79.06%"><p style="text-align:center">Uricemia (µmol/l))</p></td> 
      <td class="acenter" width="34.20%"><p style="text-align:center">661.61 ± 137.2</p></td> 
      <td class="acenter" width="23.61%"><p style="text-align:center">389 to 1223</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="79.06%"><p style="text-align:center">Natremia (mmol/l)</p></td> 
      <td class="acenter" width="34.20%"><p style="text-align:center">134.7 ± 7176</p></td> 
      <td class="acenter" width="23.61%"><p style="text-align:center">113 to 156</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="79.06%"><p style="text-align:center">Kalemia (mmol/l)</p></td> 
      <td class="acenter" width="34.20%"><p style="text-align:center">5.74 ± 12.63</p></td> 
      <td class="acenter" width="23.61%"><p style="text-align:center">2 to 7.1</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="79.06%"><p style="text-align:center">Calcemia (mmol/l)</p></td> 
      <td class="acenter" width="34.20%"><p style="text-align:center">1.98 ± 0.389</p></td> 
      <td class="acenter" width="23.61%"><p style="text-align:center">1 to 3</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="79.06%"><p style="text-align:center">Phosphoremia (mmol/l)</p></td> 
      <td class="acenter" width="34.20%"><p style="text-align:center">1.77 ± 0.550</p></td> 
      <td class="acenter" width="23.61%"><p style="text-align:center">1 to 4.1</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="79.06%"><p style="text-align:center">Vitamin D (N = 74)</p></td> 
      <td class="acenter" width="34.20%"><p style="text-align:center">27.52 ± 12.90</p></td> 
      <td class="acenter" width="23.61%"><p style="text-align:center">8 to 61</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="79.06%"><p style="text-align:center">Parathormone (N = 74)</p></td> 
      <td class="acenter" width="34.20%"><p style="text-align:center">1031.50 ± 870.62</p></td> 
      <td class="acenter" width="23.61%"><p style="text-align:center">31 to 4561</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <table-wrap id="table4">
    <label>
     <xref ref-type="table" rid="table4">
      Table 4
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141161-"></xref>Table 4. Initial kidney disease.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="81.52%" colspan="2"><p style="text-align:center">Initial Kidney Disease</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">Number (%)</p></td> 
     </tr> 
     <tr> 
      <td rowspan="6" class="custom-top-td acenter" width="20.12%"><p style="text-align:center">CKD (N = 89)</p></td> 
      <td class="custom-top-td acenter" width="61.40%"><p style="text-align:center">Malignant hypertension</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">38 (42.7)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="61.40%"><p style="text-align:center">Chronic glomerulonephritis</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">21 (23.6)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="61.40%"><p style="text-align:center">Chronic interstitial nephritis</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">17 (19.1)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="61.40%"><p style="text-align:center">Hypertensive nephropathy (benign nephro-angiosclerosis)</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">7 (7.9)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="61.40%"><p style="text-align:center">Diabetic nephropathy</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">4 (4.5)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="61.40%"><p style="text-align:center">Nephropathy indeterminate</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">2 (2.2)</p></td> 
     </tr> 
     <tr> 
      <td rowspan="5" class="custom-top-td acenter" width="20.12%"><p style="text-align:center">AKI (N = 21)</p></td> 
      <td class="custom-top-td acenter" width="61.40%"><p style="text-align:center">Acute tubular necrosis</p></td> 
      <td class="custom-top-td acenter" width="18.48%"><p style="text-align:center">13 (62)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="61.40%"><p style="text-align:center">Acute interstitial nephritis</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">4 (19)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="61.40%"><p style="text-align:center">Acute rhabdomyolysis</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">2 (9.6)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="61.40%"><p style="text-align:center">Acute obstructive uropathy</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">1 (4.7)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="61.40%"><p style="text-align:center">Hemolytic uremic syndrome</p></td> 
      <td class="acenter" width="18.48%"><p style="text-align:center">1(4.7)</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>CKD: chronic kidney disease; AKI: acute kidney injury.</p>
   <p>Hyperparathyroidism and hypovitaminosis D were found in 64.9% and 85.1% of cases (N = 74). Proteinuria was minimal in 91% of cases. Urinary tract infection was found in 57.2% of patients (N = 92), with Escherichia coli predominating in 45.3% of cases.</p>
   <p>Among hypertensive patients who had a fundus examination (N = 70), 42.9% (30 cases) had a normal fundus. Hypertensive retinopathy was stage 2 in 31.4% of cases, stage 3 and 1 in 12.9% and 11.1% respectively. Diabetic retinopathy was noted in 4 cases (3.6%). Left ventricular hypertrophy was found on ECG (N = 67) in 34 patients (50.7%).</p>
   <p>The initial nephropathy of CKD patients (N = 89) was, in order of frequency, malignant nephroangiosclerosis (malignant hypertension) 38 cases (42.7%), chronic glomerulonephritis 21 cases (23.6%), chronic interstitial nephritis 17 cases (19.1%), benign nephroangiosclerosis 7 cases (7.9%), diabetic nephropathy 4 cases (4.5%), and undetermined nephropathy 2 cases (2.2%). The etiologies of organic AKI cases (N = 21) included 13 cases of acute tubular necrosis (62%), 4 cases of acute interstitial nephritis (19%), 2 cases of acute rhabdomyolysis (9.6%), 1 case of acute obstructive uropathy (2.2%) and 1 case of hemolytic uremic syndrome (2.2%) (<xref ref-type="table" rid="table4">
     Table 4
    </xref>).</p>
   <p>Urgent indications for hemodialysis were uremic syndrome with encephalopathy or coma (70%), anuria lasting more than 48 hours with severe renal failure (11.8%), acute lung edema (7.3%), uremic pericarditis (6.4%) and severe hyperkalemia (4.5%). The right femoral catheter was the most commonly used vascular approach (87.3%). Native AVF was used in 3 patients (2.7%) (<xref ref-type="table" rid="table5">
     Table 5
    </xref>).</p>
   <table-wrap id="table5">
    <label>
     <xref ref-type="table" rid="table5">
      Table 5
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141161-"></xref>Table 5. Hemodialysis initiation conditions.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="78.26%" colspan="2"><p style="text-align:center">Hemodialysis Initiation Conditions</p></td> 
      <td class="custom-bottom-td acenter" width="21.74%"><p style="text-align:center">Number (%)</p></td> 
     </tr> 
     <tr> 
      <td rowspan="4" class="custom-top-td acenter" width="35.91%"><p style="text-align:center">Vascular access</p></td> 
      <td class="custom-top-td acenter" width="42.36%"><p style="text-align:center">Right femoral catheter</p></td> 
      <td class="custom-top-td acenter" width="21.74%"><p style="text-align:center">96 (87.3)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="42.36%"><p style="text-align:center">Left femoral catheter</p></td> 
      <td class="acenter" width="21.74%"><p style="text-align:center">9 (8.2)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="42.36%"><p style="text-align:center">Right jugular catheter</p></td> 
      <td class="acenter" width="21.74%"><p style="text-align:center">2 (1.8)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="42.36%"><p style="text-align:center">Native fustila</p></td> 
      <td class="custom-bottom-td acenter" width="21.74%"><p style="text-align:center">3 (2.7)</p></td> 
     </tr> 
     <tr> 
      <td rowspan="6" class="custom-top-td acenter" width="35.91%"><p style="text-align:center">Urgent dialysis indications</p></td> 
      <td class="custom-top-td acenter" width="42.36%"><p style="text-align:center">Uremic syndrome</p></td> 
      <td class="custom-top-td acenter" width="21.74%"><p style="text-align:center">45 (40.9)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="42.36%"><p style="text-align:center">Encephalopathy/Uremic coma</p></td> 
      <td class="acenter" width="21.74%"><p style="text-align:center">32 (29.1)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="42.36%"><p style="text-align:center">Anuria</p></td> 
      <td class="acenter" width="21.74%"><p style="text-align:center">13 (11.8)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="42.36%"><p style="text-align:center">Pulmonary acute edema</p></td> 
      <td class="acenter" width="21.74%"><p style="text-align:center">8 (7.3)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="42.36%"><p style="text-align:center">Uremic pericarditis</p></td> 
      <td class="acenter" width="21.74%"><p style="text-align:center">7 (6.4)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="42.36%"><p style="text-align:center">Hyperkalemia</p></td> 
      <td class="acenter" width="21.74%"><p style="text-align:center">5 (4.5)</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <table-wrap id="table6">
    <label>
     <xref ref-type="table" rid="table6">
      Table 6
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141161-"></xref>Table 6. Patient outcomes.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="70.10%"><p style="text-align:center">Outcomes</p></td> 
      <td class="custom-bottom-td acenter" width="13.93%"><p style="text-align:center">Number</p></td> 
      <td class="custom-bottom-td acenter" width="15.97%"><p style="text-align:center">Percentage</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="70.10%"><p style="text-align:left">Chronic dialysis</p></td> 
      <td class="custom-top-td acenter" width="13.93%"><p style="text-align:center">47</p></td> 
      <td class="custom-top-td acenter" width="15.97%"><p style="text-align:center">42.7</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="70.10%"><p style="text-align:left">Dialysis cessation (total recovery of renal function)</p></td> 
      <td class="acenter" width="13.93%"><p style="text-align:center">16</p></td> 
      <td class="acenter" width="15.97%"><p style="text-align:center">14.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="70.10%"><p style="text-align:left">Temporary cessation of dialysis (partial recovery of renal function)</p></td> 
      <td class="acenter" width="13.93%"><p style="text-align:center">4</p></td> 
      <td class="acenter" width="15.97%"><p style="text-align:center">3.6</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="70.10%"><p style="text-align:left">Dialysis stopped against medical advice</p></td> 
      <td class="acenter" width="13.93%"><p style="text-align:center">15</p></td> 
      <td class="acenter" width="15.97%"><p style="text-align:center">13.6</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="70.10%"><p style="text-align:left">Died</p></td> 
      <td class="acenter" width="13.93%"><p style="text-align:center">22</p></td> 
      <td class="acenter" width="15.97%"><p style="text-align:center">20.0</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="70.10%"><p style="text-align:left">Transferred to other dialysis centers</p></td> 
      <td class="acenter" width="13.93%"><p style="text-align:center">6</p></td> 
      <td class="acenter" width="15.97%"><p style="text-align:center">5.5</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="70.10%"><p style="text-align:left">Total</p></td> 
      <td class="acenter" width="13.93%"><p style="text-align:center">110</p></td> 
      <td class="acenter" width="15.97%"><p style="text-align:center">100.0</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>The overall outcome was favorable in 71 patients (64.5%), compared with 24 cases of death (21.8%) and 15 cases (13.6%) of abandonment of care against medical advice. Deaths occurred in a clinical context of deep coma (6 cases), septic shock (5 cases), ischemic stroke (5 cases), hemorrhagic stroke (2 cases), PAO (3 cases), pulmonary embolism (1 case) and 2 unspecified cases. Progression on dialysis was marked by total recovery of renal function in 16 patients (14.5%) out of 21 in acute renal failure versus 4 cases (3.6%) of partial recovery, 47 patients (42.7%) were maintained on chronic HD and 6 patients (5.5%) transferred to another center (<xref ref-type="table" rid="table6">
     Table 6
    </xref>).</p>
   <p>There was a statistically positive relationship between uraemic coma and the occurrence of patient death [Chi-square = 13.750 ddl = 1 P = 0.0002] (<xref ref-type="table" rid="table7">
     Table 7
    </xref>).</p>
   <table-wrap id="table7">
    <label>
     <xref ref-type="table" rid="table7">
      Table 7
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141161-"></xref>Table 7. Relationship between uraemic coma and patient death.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="acenter" width="64.11%" colspan="2"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="54.28%" colspan="2"><p style="text-align:center">Death</p></td> 
      <td rowspan="1" class="acenter" width="23.67%"><p style="text-align:center">P</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="21.16%"><p style="text-align:center">Yes</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="33.12%"><p style="text-align:center">No</p></td> 
     </tr> 
     <tr> 
      <td rowspan="2" class="custom-top-td acenter" width="33.72%"><p style="text-align:center">Uremic coma</p></td> 
      <td class="custom-top-td acenter" width="30.39%"><p style="text-align:center">Yes</p></td> 
      <td class="custom-top-td acenter" width="21.16%"><p style="text-align:center">10 (50.0%)</p></td> 
      <td class="custom-top-td acenter" width="33.12%"><p style="text-align:center">10 (50.0%)</p></td> 
      <td rowspan="2" class="custom-top-td acenter" width="23.67%"><p style="text-align:center">0.0002</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="30.39%"><p style="text-align:center">No</p></td> 
      <td class="acenter" width="21.16%"><p style="text-align:center">12 (13.3%)</p></td> 
      <td class="acenter" width="33.12%"><p style="text-align:center">78 (86.7%)</p></td> 
     </tr> 
    </table>
   </table-wrap>
  </sec><sec id="s5">
   <title>5. Discussion</title>
   <p>During the study period, of 178 hemodialysis patients, 110 were dialyzed in an emergency setting, a prevalence of 61.79%. In the literature, the prevalence of EH varies between 40% and 60% <xref ref-type="bibr" rid="scirp.141161-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.141161-13">
     [13]
    </xref>. This variation in frequency is explained by the absence of a clear consensus on the variability of the definition of EH, which changes from one study to another.</p>
   <p>This high proportion of EH in sub-Saharan Africa bears witness to the delay in consultation and management of pathologies that can lead to renal failure, but also to the increasing incidence of these pathologies <xref ref-type="bibr" rid="scirp.141161-14">
     [14]
    </xref> <xref ref-type="bibr" rid="scirp.141161-15">
     [15]
    </xref>.</p>
   <p>Emergency hemodialysis patients were young, with a mean age of 44.63 ± 18.02 years, compared with 36.82 years at the Point G hospital reported by Traoré AK et al. in 2020 <xref ref-type="bibr" rid="scirp.141161-5">
     [5]
    </xref>. Our results are similar to data recently reported from Tunisia and Senegal, with mean ages of 58 years (±4) and 46.39 years (±17.13) respectively <xref ref-type="bibr" rid="scirp.141161-16">
     [16]
    </xref> <xref ref-type="bibr" rid="scirp.141161-17">
     [17]
    </xref>. The difference with Western countries is explained by the ageing of the population and the greater accessibility of care for the elderly in industrialized countries. Numerous studies show the predominance of men in chronic kidney disease <xref ref-type="bibr" rid="scirp.141161-13">
     [13]
    </xref> <xref ref-type="bibr" rid="scirp.141161-18">
     [18]
    </xref>. The predominance of women in this study could be explained by the high level of male immigration to the Kayes region.</p>
   <p>The predominance of CKD, similar to other studies, and the absence of a permanent vascular approach may be explained by the late referral of patients with CKD to nephrologists, coupled with possible denial of management or abandonment of follow-up in our low socio-economic context <xref ref-type="bibr" rid="scirp.141161-6">
     [6]
    </xref> <xref ref-type="bibr" rid="scirp.141161-7">
     [7]
    </xref> <xref ref-type="bibr" rid="scirp.141161-17">
     [17]
    </xref>. On the whole, before their first nephrological consultation in Kayes, patients had already transited through one or two health care districts, where creatinine dosage is often not given priority over general pathologies such as hypertension and diabetes <xref ref-type="bibr" rid="scirp.141161-19">
     [19]
    </xref>. Indeed, early referral to nephrologists of patients in stage 3/4 of CKD reduces the prevalence of EH and lowers the mortality rate after initiation of dialysis <xref ref-type="bibr" rid="scirp.141161-20">
     [20]
    </xref> <xref ref-type="bibr" rid="scirp.141161-21">
     [21]
    </xref>.</p>
   <p>This early recourse prepares them for dialysis by sparing the venous capital and creating permanent vascular access, notably the arteriovenous fistula.</p>
   <p>Hypertension and diabetes were the main pathologies reported. In our study, they were encountered in 71.8% and 10.9% of cases respectively. In the studies by Traoré AK et al. and Brown et al. emergency dialysis patients were hypertensive in 77.4% and 93% of cases respectively <xref ref-type="bibr" rid="scirp.141161-5">
     [5]
    </xref> <xref ref-type="bibr" rid="scirp.141161-22">
     [22]
    </xref>. According to the literature, 28% to 46% of patients were diabetic <xref ref-type="bibr" rid="scirp.141161-23">
     [23]
    </xref>. These data further confirm the epidemiological transition through the emergence of chronic non-communicable pathologies.</p>
   <p>Our study also revealed the predominance of malignant hypertension among the etiologies of CKD. These results reflected the lack of proper follow-up of hypertensive patients. In the earlier Malian study by Traoré AK et al. in 2020, chronic glomerulonephritis was the main cause of CKD, followed by hypertension <xref ref-type="bibr" rid="scirp.141161-5">
     [5]
    </xref>. According to data from several studies, hypertension remains the most frequent etiology of chronic kidney disease in Kayes <xref ref-type="bibr" rid="scirp.141161-19">
     [19]
    </xref> <xref ref-type="bibr" rid="scirp.141161-24">
     [24]
    </xref>.</p>
   <p>On admission, the mean hemoglobin level was 7.08 g/dl, compared with between 9.5 and 10.6 g/dl in studies <xref ref-type="bibr" rid="scirp.141161-4">
     [4]
    </xref> <xref ref-type="bibr" rid="scirp.141161-18">
     [18]
    </xref> <xref ref-type="bibr" rid="scirp.141161-24">
     [24]
    </xref>.</p>
   <p>In EH indications, the majority of patients were in the poor general condition of uremic syndrome with encephalopathy or coma, in contrast to other studies where hyperkalemia and clinical metabolic acidosis represented the main indications <xref ref-type="bibr" rid="scirp.141161-4">
     [4]
    </xref> <xref ref-type="bibr" rid="scirp.141161-25">
     [25]
    </xref>. This difference may be explained by late referral on the one hand, and the low socio-economic status of patients on the other.</p>
   <p>Our short-term case fatality rate was 21.8% versus 69.35% and 23.08% reported by Traoré AK et al. <xref ref-type="bibr" rid="scirp.141161-5">
     [5]
    </xref> and Randrianarisoa RMF et al. <xref ref-type="bibr" rid="scirp.141161-4">
     [4]
    </xref>. These rates are high compared with the Senegalese study with a rate of 17.8% <xref ref-type="bibr" rid="scirp.141161-17">
     [17]
    </xref>. The difference could be explained by the fact that 4.6% of their patients had permanent vascular access, whereas 97.3% of patients in our study were dialyzed using a catheter. The use of central venous catheters entails infectious and cardiovascular risks. Observations have shown that the survival of patients dialyzed in a planned manner using an AVF is better than that of patients dialyzed urgently on a catheter <xref ref-type="bibr" rid="scirp.141161-20">
     [20]
    </xref> <xref ref-type="bibr" rid="scirp.141161-21">
     [21]
    </xref>.</p>
   <table-wrap id="table8">
    <label>
     <xref ref-type="table" rid="table8">
      Table 8
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141161-"></xref>Table 8. Potential factors associated with the risk of patient death according to the logistic regression model.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="acenter" width="23.12%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="22.10%"><p style="text-align:center">Estimate Std</p></td> 
      <td class="acenter" width="16.79%"><p style="text-align:center">Z value</p></td> 
      <td class="acenter" width="18.06%"><p style="text-align:center">Pr (&gt;/Z/)</p></td> 
      <td class="acenter" width="19.93%"><p style="text-align:center">relative risk</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="23.12%"><p style="text-align:center">Severe anemia</p></td> 
      <td class="custom-top-td acenter" width="22.10%"><p style="text-align:center">−0.3703</p></td> 
      <td class="custom-top-td acenter" width="16.79%"><p style="text-align:center">−0.598</p></td> 
      <td class="custom-top-td acenter" width="18.06%"><p style="text-align:center">0.5498</p></td> 
      <td class="custom-top-td acenter" width="19.93%"><p style="text-align:center">0.690</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="23.12%"><p style="text-align:center">Severe azotemia</p></td> 
      <td class="acenter" width="22.10%"><p style="text-align:center">1.8728</p></td> 
      <td class="acenter" width="16.79%"><p style="text-align:center">2.008</p></td> 
      <td class="acenter" width="18.06%"><p style="text-align:center">0.0446</p></td> 
      <td class="acenter" width="19.93%"><p style="text-align:center">6.506</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="23.12%"><p style="text-align:center">Pericarditis</p></td> 
      <td class="acenter" width="22.10%"><p style="text-align:center">1.4333</p></td> 
      <td class="acenter" width="16.79%"><p style="text-align:center">1.719</p></td> 
      <td class="acenter" width="18.06%"><p style="text-align:center">0.0855</p></td> 
      <td class="acenter" width="19.93%"><p style="text-align:center">4.192</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="23.12%"><p style="text-align:center">Uremic coma</p></td> 
      <td class="acenter" width="22.10%"><p style="text-align:center">2.3619</p></td> 
      <td class="acenter" width="16.79%"><p style="text-align:center">3.688</p></td> 
      <td class="acenter" width="18.06%"><p style="text-align:center">0.0002</p></td> 
      <td class="acenter" width="19.93%"><p style="text-align:center">10.611</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>Some potential factors linked to the risk of death were evaluated in our patients at the time of dialysis initiation. In a multivariate analysis using a logistic regression model, uraemic coma increased the risk of death by a factor of 10, and by a factor of 6 for serum azotemia &gt; 30 mmol/l (<xref ref-type="table" rid="table8">
     Table 8
    </xref>). In Burkina Faso in 2021, Ilboudo CS et al. <xref ref-type="bibr" rid="scirp.141161-26">
     [26]
    </xref>. also noted that an altered state of consciousness before the hemodialysis session was associated with the risk of death (P = 0.02).</p>
   <p>Aside from the complications of end-stage CKD, patients’ low socio-economic status was an important factor in increasing their risk of mortality. This finding is supported by data from an American meta-analysis among undocumented immigrants showing that 3-year mortality was higher with hemodialysis versus standard hemodialysis <xref ref-type="bibr" rid="scirp.141161-3">
     [3]
    </xref>.</p>
   <p>Our study, although innovative in a region of Mali, had certain shortcomings. Our study and follow-up periods were relatively short compared with studies in the literature. This may underestimate the prevalence of EH and the mortality rate. Further work is needed to determine the long-term fate of emergency hemodialysis patients. The predominance of CKD and the absence of pre-existing permanent vascular access demonstrate our difficulty in following good medical practice recommendations. More frequent monitoring of glomerular filtration rate is needed to enable earlier recognition of rapidly progressing renal disease.</p>
   <p>Apart from the difficulty of following recommendations, the management of CKD in Mali faces other problems. Kidney transplants can only be performed abroad. Although hemodialysis is free of charge, complementary examinations and parallel care are the patient’s responsibility, and are often not honored for financial reasons. Other problems arise from the lack of equipment in hospitals. The majority of care services for chronic kidney disease are concentrated in the capital, penalizing the majority of the Malian population.</p>
  </sec><sec id="s6">
   <title>6. Conclusion</title>
   <p>This study highlighted the fact that emergency dialysis patients were unprepared for dialysis and arrived in a serious condition. Mortality was high in the first month, and prognosis was influenced by their condition on admission. Efforts must be made to increase the proportion of patients undergoing dialysis in a planned manner, with mass education, promotion of geographical accessibility of hemodialysis and insurance coverage for the proper management of patients with kidney disease.</p>
  </sec><sec id="s7">
   <title>Key Words</title>
   <p>Emergency Hemodialysis, Kayes, Mali.</p>
  </sec><sec id="s8">
   <title>Appendix</title>
   <p>Survey form:</p>
   <p>Full name: ___________________________</p>
   <p>Socio-demographic data:</p>
   <p>Age: /##/</p>
   <p>Sex: /#/</p>
   <p>Service of origin: /#/ 1 = Emergency 2 = City clinic 3 = Other: ________</p>
   <p>MDC: /#/ 1 = Hypercreat 2 = Renal insufficiency on echo 3 = Other: ________</p>
   <p>ATCD:</p>
   <p>HTA: /#/ 1 = Yes 2 = No</p>
   <p>Diabetes: /#/ 1 = Yes 2 = No</p>
   <p>Symptoms:</p>
   <p>Asthenia: /#/ 1 = Yes 2 = No</p>
   <p>Headache: /#/ 1 = Yes 2 = no</p>
   <p>Tinnitus: /#/ 1 = Yes 2 = no</p>
   <p>Phosphene: /#/ 1 = Yes 2 = no</p>
   <p>Vertigo: /#/ 1 = Yes 2 = no</p>
   <p>Exertional dyspnea: /#/ 1 = Yes 2 = no</p>
   <p>Anorexia: /#/ 1 = Yes 2 = no</p>
   <p>Nausea: /#/ 1 = Yes 2 = no</p>
   <p>Vomiting: /#/ 1 = Yes 2 = no</p>
   <p>Clinical parameters on admission:</p>
   <p>PAD/###/NOT/###/</p>
   <p>If hypertension WHO grade: ____________</p>
   <p>Mucocutaneous pallor: /#/ 1 = Yes 2 = no</p>
   <p>Heart murmurs: /#/ 1 = Yes 2 = No</p>
   <p>Crackles: /#/ 1 = Yes 2 = No</p>
   <p>Pericardial friction: /#/ 1 = Yes 2 = No</p>
   <p>IMO: /#/ 1 = Yes 2 = No</p>
   <p>Ascites: /#/ 1 = Yes 2 = No</p>
   <p>Dehydration folds: /#/ 1 = Yes 2 = No</p>
   <p>Uremic frostbite : /#/ 1 = Yes 2 = No</p>
   <p>Uremic encephalopathy: /#/ 1 = Yes 2 = No</p>
   <p>Uremic comma: /#/ 1 = Yes 2 = No</p>
   <p>Diuresis: /#/ 1 = oliguria less than 500 ml/24 H 2 = diuresis anuria less than 100 ml/24 H 3 = Preserved diuresis</p>
   <p>Complementary tests on admission:</p>
   <p>Hb: /#/ 1 = high 2 = normal 3 = diminished Val ___________</p>
   <p>Créat: /#/ 1 = high 2 = normal 3 = diminished Val _________</p>
   <p>Urea: /#/ 1 = high 2 = normal 3 = diminished Val _________</p>
   <p>Uric acid: /#/ 1 = high 2 = normal 3 = diminished Val _________</p>
   <p>Natraemia: /#/ 1 = high 2 = normal 3 = diminished Val ___________</p>
   <p>Kalemia: /#/ 1 = high 2 = normal 3 = diminished Val _________</p>
   <p>Calcemia: /#/ 1 = high 2 = normal 3 = diminished Val _________</p>
   <p>Phosphorus: /#/ 1 = high 2 = normal 3 = diminished Val _________</p>
   <p>VitD: /#/ 1 = high 2 = normal 3 = diminished Val _________</p>
   <p>24 H proteinuria (g/24 H): /#/ 1 = minimal (less than 1 g/24 H) 2 = medium (1 − 3 g/24 H) 3 = massive (more than 3 g/24 H)</p>
   <p>Cytobacteriogical study of urine:</p>
   <p>Leukocyturia (10000/ml): /#/ 1 = yes 2 = no</p>
   <p>Hematuria (10/mm 3): /#/ 1 = yes 2 = no</p>
   <p>Urinary tract infection: /#/ 1 = yes 2 = no If yes germ ____________</p>
   <p>Renal ultrasound:</p>
   <p>Kidney size: /#/ 1 = normal (100 - 130) 2 = diminished (inf 100) 3 = increased (sup 130)</p>
   <p>Differentiation: /#/ 1 = good 2 = poor</p>
   <p>Other to specify: __________________</p>
   <p>Fundus: /#/ 1 = normal 2 = RH stage1 3 = RH stage2 4 = RH stage3 5 = RD</p>
   <p>LVH (ECG): /#/ 1 = Yes 2 = No</p>
   <p>Type of IR: /#/ 1 = IRA 2 = IRC</p>
   <p>CKD Initial kidney disease: /#/</p>
   <p>AKI Initial kidney disease: /#/</p>
   <p>Indication for dialysis: /#/ 1 = Uremic syndrome 2 = Pericardial friction 3 = Anuria longer than 48 H 4 = Hyperkalemia 5 = OAP 6 = Metabolic acidosis 7 = Refractory fluid retention 8 = Uremic encephalopathy 9 = Uremic coma</p>
   <p>Vascular approach: /#/ 1 = KTFD 2 = KTFG 3 = KJD 4 = KTJD</p>
   <p>General evolution: /#/ 1 = favorable 2 = deceased 3 = stopped against medical advice</p>
   <p>Progress on dialysis: /#/ 1 = Chronic dialysis 2 = HD withdrawal 3 = Temporary withdrawal</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.141161-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Liyanage, T., Ninomiya, T., Jha, V., Neal, B., Patrice, H.M., Okpechi, I., et al. (2015) Worldwide Access to Treatment for End-Stage Kidney Disease: A Systematic Review. The Lancet, 385, 1975-1982. &gt;https://doi.org/10.1016/s0140-6736(14)61601-9
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chan, C.T., Blankestijn, P.J., Dember, L.M., Gallieni, M., Harris, D.C.H., Lok, C.E., et al. (2019) Dialysis Initiation, Modality Choice, Access, and Prescription: Conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney International, 96, 37-47. &gt;https://doi.org/10.1016/j.kint.2019.01.017
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cervantes, L., Tuot, D., Raghavan, R., Linas, S., Zoucha, J., Sweeney, L., et al. (2018) Association of Emergency-Only vs Standard Hemodialysis with Mortality and Health Care Use among Undocumented Immigrants with End-Stage Renal Disease. JAMA Internal Medicine, 178, 188-195. &gt;https://doi.org/10.1001/jamainternmed.2017.7039
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Randrianarisoa, R.M.F., Mikkelsen Ranivoharisoa, E., Randrianarisoa, A., Ramilitiana, B. and Randriamarotia, W.F.H. (2023) Hémodialyse en urgence à l’hôpital Joseph Raseta Befelatanana, Antananarivo, Madagascar. Néphrologie&amp;Thérapeutique, 19, 59-65. &gt;https://doi.org/10.1684/ndt.2023.5
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Traore, A.K., Yattara, H., Fofana, A.S., Coulibaly, J., Sy, S., et al. (2023) Étude Epidémiologique Descriptive des Patients Hémodialysés en Urgence au CHU du Point G (Bamako). Health Sciences and Disease, 24, 71-77.
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yattara, H., Coulibaly, N., Diallo, D., Sanogo, M., Sy, S., Samiza, P., et al. (2021) First Consultation in Nephrology: Case of the Point G University Hospital (Bamako-Mali). Open Journal of Nephrology, 11, 412-421. &gt;https://doi.org/10.4236/ojneph.2021.113034
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Samaké, M., Sy, S., Fofana, A.S., Yattara, H., Coulibaly, S.B., Diallo, D., et al. (2022) Epidemiological and Clinical Profile of Patients Undergoing Primary Nephrological Consultation at the Fousseyni DAOU Hospital in Kayes, Mali. Open Journal of Nephrology, 12, 142-153.
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Levin, A. (2000) Consequences of Late Referral on Patient Outcomes. Nephrology Dialysis Transplantation, 15, 8-13. &gt;https://doi.org/10.1093/oxfordjournals.ndt.a027977
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mendelssohn, D.C., Malmberg, C. and Hamandi, B. (2009) An Integrated Review of “Unplanned” Dialysis Initiation: Reframing the Terminology to “Suboptimal” Initiation. BMC Nephrology, 10, Article No. 22. &gt;https://doi.org/10.1186/1471-2369-10-22
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref10">
    <label>10</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. &gt;https://doi.org/10.53738/revmed.2016.12.507.0398
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Thervet, E. (2017) Traité de Néphrologie. Lavoisier.
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref12">
    <label>12</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.141161-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hassan, R., Akbari, A., Brown, P.A., Hiremath, S., Brimble, K.S. and Molnar, A.O. (2019) Risk Factors for Unplanned Dialysis Initiation: A Systematic Review of the Literature. Canadian Journal of Kidney Health and Disease, 6. &gt;https://doi.org/10.1177/2054358119831684
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kyelem, C.G., Semporé, W.Y., Yaméogo, A.A., Barro, S.D., Semdé, H. and Ilboudo, A. (2020) Diagnostic et prise en charge de la maladie rénale chronique dans un contexte de ressources limitées: Spécificités et difficultés d’un service de Médecine interne. Revue Africaine de Médecine Interne, 7, 11-19.
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lengani, A., Kargougou, D., Fogazzi, G.B. and Laville, M. (2010) L’insuffisance rénale aiguë au Burkina Faso. Néphrologie&amp;Thérapeutique, 6, 28-34. &gt;https://doi.org/10.1016/j.nephro.2009.07.013
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ben Hamida, S., Sallemi, N., Amiri, L., Smaoui, W., Jbali, H., Mami, I., et al. (2017) Profil épidémiologique de l’hémodialyse en urgence. Néphrologie&amp;Thérapeutique, 13, 332. &gt;https://doi.org/10.1016/j.nephro.2017.08.152
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kane, Y., Diawara, M.S., Cisse, M.M., et al. (2020) Emergency Hemodialysis: A Report of 107 Cases at the Regional Hemodialysis Center of Thies (Senegal). Health Sciences and Disease, 21, 48-52.
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sundström, J., Bodegard, J., Bollmann, A., Vervloet, M.G., Mark, P.B., Karasik, A., et al. (2022) Prevalence, Outcomes, and Cost of Chronic Kidney Disease in a Contemporary Population of 2.4 Million Patients from 11 Countries: The Careme CKD Study. The Lancet Regional Health-Europe, 20, Article 100438. &gt;https://doi.org/10.1016/j.lanepe.2022.100438
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Fofana, A.S., Samake, M., SY, S., dit Baba Coulibaly, S., Maiga, A., Sidibe, M., et al. (2023) Hypertension maligne à l’hôpital Fousseyni Daou de Kayes, au Mali: Aspects épidémio-cliniques et pronostiques. Annales Africaines de Medecine, 16, e5333-e5343. &gt;https://doi.org/10.4314/aamed.v16i4.6
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Raffray, M., Vigneau, C., Couchoud, C., Laude, L., Campéon, A., Schweyer, F., et al. (2022) The Dynamics of the General Practitioner-Nephrologist Collaboration for the Management of Patients with Chronic Kidney Disease before and after Dialysis Initiation: A Mixed-Methods Study. Therapeutic Advances in Chronic Disease, 13. &gt;https://doi.org/10.1177/20406223221108397
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Raffray, M., Vigneau, C., Couchoud, C. and Bayat, S. (2021) Predialysis Care Trajectories of Patients with ESKD Starting Dialysis in Emergency in France. Kidney International Reports, 6, 156-167. &gt;https://doi.org/10.1016/j.ekir.2020.10.026
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Brown, P.A., Akbari, A., Molnar, A.O., Taran, S., Bissonnette, J., Sood, M., et al. (2015) Factors Associated with Unplanned Dialysis Starts in Patients Followed by Nephrologists: A Retrospective Cohort Study. PLOS ONE, 10, e0130080. &gt;https://doi.org/10.1371/journal.pone.0130080
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Panocchia, N., Tazza, L., Di Stasio, E., Liberatori, M., Vulpio, C., Giungi, S., et al. (2015) Mortality in Hospitalized Chronic Kidney Disease Patients Starting Unplanned Urgent Haemodialysis. Nephrology, 21, 62-67. &gt;https://doi.org/10.1111/nep.12561
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Buck, J., Baker, R., Cannaby, A.-M., Nicholson, S., Peters, J. and Warwick, G. (2007) Why Do Patients Known to Renal Services Still Undergo Urgent Dialysis Initiation? A Cross-Sectional Survey. Nephrology Dialysis Transplantation, 22, 3240-3245. &gt;https://doi.org/10.1093/ndt/gfm387
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Felah, E., Barbouch, S., Amiri, L., Hajji Najjar, M., Aoudia, R., Harzallah, A., et al. (2018) Hémodialyse en situation d’urgence: À propos de 115 cas. Néphrologie&amp;Thérapeutique, 14, 318. &gt;https://doi.org/10.1016/j.nephro.2018.07.158
    </mixed-citation>
   </ref>
   <ref id="scirp.141161-ref26">
    <label>26</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ilboudo, C.S., Doro, H., Guibla, I., Belem, F., Konate, S., et al. (2021) Pronostic des Hémodialysés en Urgence dans le Service de Néphrologie et de Dialyse du Centre Hospitalier Universitaire SouroSanou (Bobo Dioulasso). Health Sciences and Disease, 22, 11-14.
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>