<?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">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1107413</article-id><article-id pub-id-type="publisher-id">OALibJ-109850</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Epidemiological Aspects of Chronic Renal Failure at Dipumba Hospital in the City of Mbujimayi/RD. Congo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Claude</surname><given-names>Tshibangu Lukusa</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>Felly</surname><given-names>Kasongo Ngoyi</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>Léon</surname><given-names>Mbenga Kasela</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>Elisée</surname><given-names>Ntambua Mbombo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Georges</surname><given-names>Kabeya Kalala</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>Chris</surname><given-names>Kabangu Mukanya</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jean</surname><given-names>Christophe Bukasa Tshilonda</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>Matthieu</surname><given-names>Lubo Mumbiyi</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>Théophile</surname><given-names>Lombe Mibanga</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>André</surname><given-names>Kazadi Mukendi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Higher Institute of Medical Techniques of Mbujimayi, Mbujimayi, RD. Congo</addr-line></aff><aff id="aff3"><addr-line>Higher Pedagogical Institute of Muene Ditu, Muene Ditu, RD. Congo</addr-line></aff><aff id="aff4"><addr-line>University of Kabinda, Kabinda, RD. Congo</addr-line></aff><aff id="aff1"><addr-line>Official University of Mbujimayi, Mbujimayi, RD. Congo</addr-line></aff><pub-date pub-type="epub"><day>01</day><month>06</month><year>2021</year></pub-date><volume>08</volume><issue>06</issue><fpage>1</fpage><lpage>10</lpage><history><date date-type="received"><day>12,</day>	<month>April</month>	<year>2021</year></date><date date-type="rev-recd"><day>12,</day>	<month>June</month>	<year>2021</year>	</date><date date-type="accepted"><day>15,</day>	<month>June</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: The objective of this study was to determine the prevalence, stages, diagnosis and evolution of chronic renal failure in the town of Mbujimayi and specifically at Dipumba Hospital. Material and Methods: This was a retrospective, descriptive and cross-sectional study, spanning a period of 6 years, i.e. from 01/01/2014 to 12/31/2019 at DIPUMBA hospital. The study involved 33 patients with CKD. Results: The hospital frequency was 1.22%. The age of our patients varied between 35 and 90 years with an average age of 58.2 &#177; 11.7 years. The age group most affected was that of 50 to 59 years in a proportion of 39.39%. Men were the most affected with 26 cases (78.79%) against 7 (21.21%) for women. The reasons for admission were dominated by oligo-anuria, digestive disorders, dyspnea and physical asthenia. Arterial hypertension, diabetes mellitus and acute renal failure were the antecedents found in the majority of our patients, i.e. in 90.91% respectively; 84.85% and 66.67% of cases. The majority of patients, 60.6%, had end-stage chronic renal failure. The healthy diet + medication was the most recommended treatment. The majority of cases, or 66.67%, resulted in stabilization against 33.33% of death cases. Conclusion: Chronic renal failure is a frequent pathology in our environment. It affects patients from their thirties, of both sexes. The majority of patients consult for oligo-anuria, digestive disorders, dyspnea and physical asthenia. High blood pressure and diabetes mellitus are the most common history. Most patients are admitted at the terminal stage. The lethality is quite high (33.33%).
 
</p></abstract><kwd-group><kwd>Epidemiology</kwd><kwd> Chronic Renal Failure</kwd><kwd> Dialysis</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Chronic kidney disease (CKD) is a major public health problem in both developed countries and in countries in development paths [<xref ref-type="bibr" rid="scirp.109850-ref1">1</xref>] . His real extent in Africa, in the Democratic Republic of Congo (DRC) and Mbujimayi remains unknown [<xref ref-type="bibr" rid="scirp.109850-ref2">2</xref>] .</p><p>It is a serious disabling pathology, constantly increasing and the treatment of which is particularly restrictive and expensive. It therefore represents a public health issue both from the point of view of management of the resources devoted to this pathology and in the preparation of patients who will require renal replacement therapy.</p><p>Most if not all kidney disease is progressive, although the rate of progression is extremely variable from one individual to another. Slow down the progression which is one of the major challenges of 21st century nephrology [<xref ref-type="bibr" rid="scirp.109850-ref3">3</xref>] .</p><p>According to the WHO [<xref ref-type="bibr" rid="scirp.109850-ref4">4</xref>] , kidney disease is described as the most neglected chronic disease. In 2015, nearly 600 million people, or 5% of the world’s population, had chronic kidney disease. In some low-income countries, the inaccessibility of replacement therapy remains the great unresolved challenge today. In Africa, its exact prevalence according to some authors is better documented only in a few countries. In sub-Saharan Africa, this has been estimated at 13.9% [<xref ref-type="bibr" rid="scirp.109850-ref5">5</xref>] . In C&#244;te d'Ivoire, it is 5.8% of patients admitted to hospital, of which 5% of patients have access to replacement therapy [<xref ref-type="bibr" rid="scirp.109850-ref6">6</xref>] . In the Democratic Republic of Congo, studies conducted on its prevalence in 2009 in the city province of Kinshasa estimated it at 12.4% and 19.8% [<xref ref-type="bibr" rid="scirp.109850-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.109850-ref8">8</xref>] .</p><p>The modalities of the management of IRC were presented at the Quadrimed congress in 2013. Since then, interesting novelties have been published and will be the subject of this update. Kidney disease is prevalent in 15% of the population according to US statistics. The causal diagnosis includes approximately 50% of diabetic and hypertensive patients. Chronic kidney disease is a notorious independent risk factor that increases exponentially with loss of kidney function; it is therefore of the utmost importance to slow down its progression in order to avoid the outcome of replacement therapy and to protect the patient from cardiovascular complications, whether fatal or not. In addition, the art of nephrological monitoring consists in controlling collateral disorders secondary to renal disease which may also participate in the progression of CRF.</p><p>Optimal treatment of arterial hypertension is certainly the most important condition to consider in order to slow the progression of renal failure [<xref ref-type="bibr" rid="scirp.109850-ref9">9</xref>] .</p><p>The recent SPRINT study published at the end of 2015, with a specific blood pressure measurement protocol (self-measurement in a standardized situation), demonstrated a reduction in cardiovascular morbidity and mortality in non-diabetic patients at high cardiovascular risk with a target value of systolic blood pressure less than 120 mmHg (mean 121.5 mmHg) in comparison with standard treatment aiming for a systolic pressure value below 140 mmHg (mean 134.6 mmHg) [<xref ref-type="bibr" rid="scirp.109850-ref10">10</xref>] . Unfortunately, the progression of renal failure could not be slowed down by the intensive diet with lower blood pressure values.</p><p>As hygieno-dietetic measures, it should be noted that the reduced salt intake makes it possible to better control arterial pressure (5 to 6 g of salt/day) and to reduce proteinuria; this is an important step to take in any patient with kidney failure. There are of course other measures to consider, such as stopping smoking and the fight against sedentary lifestyle. Finally, correcting hyperlipidemia is also important for reducing cardiovascular risk and possibly halting the progression of CRF [<xref ref-type="bibr" rid="scirp.109850-ref11">11</xref>] .</p><p>Prevention of terminal CKD relies on a thorough knowledge of the risk factors that determine its frequency.</p><p>There are 2 levels of prevention of CRF:</p><p>&#173; Primary prevention which aims to reduce the incidence of kidney disease.</p><p>&#173; Secondary prevention aims to improve the quality of life or survival of treated patients and to reduce co-morbidities [<xref ref-type="bibr" rid="scirp.109850-ref12">12</xref>] .</p><p>The present study reports the epidemiological aspects of chronic renal failure in the town of Mbujimayi and specifically at the Dipumba Hospital, which aspects will put the ears of practitioners on the need for early diagnosis, prevention and treatment. Good therapeutic orientation of patients.</p><p>In view of the problems posed by chronic renal failure, and its epidemiological aspects which are poorly understood in the general population, we proposed to carry out this work intended to determine the epidemiological aspects linked to chronic renal failure in our environment.</p></sec><sec id="s2"><title>2. Material and Method</title><p>The study was carried out in the internal medicine department of the Dipumba Hospital located in the Kanshi Commune, Mbujimayi city, Kasai-Oriental Province, in the Democratic Republic of Congo. The study population consisted of all the patients who consulted the Dipumba internal medicine department during the study period and the sample drawn from this population was of simple random type consisting of 33 patients who were admitted for renal failure. chronic at Dipumba hospital. The method used in this study was retrospective, descriptive and cross-sectional, spanning a period of 6 years, i.e. from 01/01/2014 to 12/31/2019 at DIPUMBA hospital. To collect the data, we used a form which was used for this purpose and these data were encoded on a table in Microsoft Excel 2010 software and processed with the computer software Epi info Atlanta 7.1.1.14 CDC USA 2013. The data analyzed were then presented in tabular form.</p></sec><sec id="s3"><title>3. Results</title><p><xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref> shows us that during the study period, 2716 patients were admitted to the internal medicine department for various pathologies, of which 33 were for chronic renal failure, i.e. a prevalence of 1.21%.</p><p><xref ref-type="table" rid="table2"><xref ref-type="table" rid="table">Table </xref>2</xref> shows us that the incidence of IRC is growing between 2014 and 2019, with a non-significant regression in 2017, it evolved randomly.</p><p><xref ref-type="table" rid="table3"><xref ref-type="table" rid="table">Table </xref>3</xref> shows that the age of the patients varies between 35 to 90 years with an average age of 58.2 &#177; 11.7 years. The age group most affected was that of 50 to 59 years in a proportion of 39.39%.</p><p>As shown in <xref ref-type="table" rid="table4"><xref ref-type="table" rid="table">Table </xref>4</xref>, men were the most affected with 26 cases (78.79%) against 7 (21.21%) for women. The sex ratio was 3.71:1 in favor of men.</p><p>In <xref ref-type="table" rid="table5"><xref ref-type="table" rid="table">Table </xref>5</xref>, married people represented a high proportion, i.e. 63.64% of cases.</p><p><xref ref-type="table" rid="table6"><xref ref-type="table" rid="table">Table </xref>6</xref> shows that most of our patients, or 45.45%, resided in the commune of Bipemba.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref></label><caption><title> Distribution of cases according to hospital frequency of CRF</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >not</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Chronic renal failure</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >1.21</td></tr><tr><td align="center" valign="middle" >Other pathologies</td><td align="center" valign="middle" >2683</td><td align="center" valign="middle" >98.78</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >2716</td><td align="center" valign="middle" >100.0</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2"><xref ref-type="table" rid="table">Table </xref>2</xref></label><caption><title> Distribution of cases according to the annual frequency of IRC</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >Total number</th><th align="center" valign="middle" >IRC case</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >476</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.18</td></tr><tr><td align="center" valign="middle" >2015</td><td align="center" valign="middle" >570</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >0.26</td></tr><tr><td align="center" valign="middle" >2016</td><td align="center" valign="middle" >501</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0.22</td></tr><tr><td align="center" valign="middle" >2017</td><td align="center" valign="middle" >437</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0.15</td></tr><tr><td align="center" valign="middle" >2018</td><td align="center" valign="middle" >381</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0.22</td></tr><tr><td align="center" valign="middle" >2019</td><td align="center" valign="middle" >351</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.18</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >2716</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >1.21</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3"><xref ref-type="table" rid="table">Table </xref>3</xref></label><caption><title> Distribution of CKD cases by age</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Age (year)</th><th align="center" valign="middle" >not</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >0 - 9</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >10 - 19</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >20 - 29</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >30 - 39</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3.03</td></tr><tr><td align="center" valign="middle" >40 - 49</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >18.18</td></tr><tr><td align="center" valign="middle" >50 - 59</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >39.39</td></tr><tr><td align="center" valign="middle" >60 - 70</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >27.27</td></tr><tr><td align="center" valign="middle" >&gt;70</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >12.12</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4"><xref ref-type="table" rid="table">Table </xref>4</xref></label><caption><title> Distribution of IRC cases by sex</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Sex</th><th align="center" valign="middle" >not</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Men</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >78.79</td></tr><tr><td align="center" valign="middle" >Women</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >21.21</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >100.00</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5"><xref ref-type="table" rid="table">Table </xref>5</xref></label><caption><title> Distribution of IRC cases by civil status</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Civil status</th><th align="center" valign="middle" >not</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >63.64</td></tr><tr><td align="center" valign="middle" >Widower widow</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >21.21</td></tr><tr><td align="center" valign="middle" >Divorcee)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >12.12</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3.03</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >100.00</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6"><xref ref-type="table" rid="table">Table </xref>6</xref></label><caption><title> Breakdown of IRC cases by origin</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Origin</th><th align="center" valign="middle" >not</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Bipemba</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >45.45</td></tr><tr><td align="center" valign="middle" >Kanshi</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >24.24</td></tr><tr><td align="center" valign="middle" >Dibindi</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >9.09</td></tr><tr><td align="center" valign="middle" >Diulu</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >9.09</td></tr><tr><td align="center" valign="middle" >Muya</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >6.06</td></tr><tr><td align="center" valign="middle" >Out of town</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >6.06</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >100.00</td></tr></tbody></table></table-wrap><p>In <xref ref-type="table" rid="table7"><xref ref-type="table" rid="table">Table </xref>7</xref>, the reasons for admission were dominated by oligo-anuria, digestive disorders, dyspnea and physical asthenia with respectively 69.69% each.</p><p>As shown in <xref ref-type="table" rid="table8"><xref ref-type="table" rid="table">Table </xref>8</xref>, arterial hypertension, diabetes mellitus and acute renal failure were the antecedents found in the majority of our patients with successively 90.91%; 84.85% and 66.67% of cases.</p><p>As shown in <xref ref-type="table" rid="table9"><xref ref-type="table" rid="table">Table </xref>9</xref>, the complete blood count revealed anemia (Hb &lt; 7 g/dl) at 81.9%. The kidney ultrasound performed in our study revealed the kidneys to be 72.73% small.</p><p><xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>0 shows that the majority of patients, or 60.6%, had end-stage chronic renal failure. The following <xref ref-type="table" rid="table">Table </xref>gives the distribution of patients according to the stage of chronic renal failure.</p><p>As shown in <xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>1, the healthy diet + medication was the most recommended treatment in 100% of cases. Dialysis was required in 81.82% of cases. <xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>2 shows breakdown of IRC cases according to evolution.</p><p>As shown in <xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>3, the majority of patients, i.e. 54.55%, had a primary hospital stay less than or equal to 10 days.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7"><xref ref-type="table" rid="table">Table </xref>7</xref></label><caption><title> Breakdown of IRC cases by reason for admission</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Reasons for admission</th><th align="center" valign="middle" >N = 33</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Oligo-anuria</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >69.69</td></tr><tr><td align="center" valign="middle" >Digestive disorders</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >69.69</td></tr><tr><td align="center" valign="middle" >Dyspnea</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >69.69</td></tr><tr><td align="center" valign="middle" >Physical asthenia</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >60.61</td></tr><tr><td align="center" valign="middle" >Dizziness</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >57.57</td></tr><tr><td align="center" valign="middle" >Nocturia</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >45.45</td></tr><tr><td align="center" valign="middle" >Polyuria</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >30.30</td></tr><tr><td align="center" valign="middle" >Coma</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >30.30</td></tr><tr><td align="center" valign="middle" >Weightloss</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >12.12</td></tr></tbody></table></table-wrap><table-wrap id="table8" ><label><xref ref-type="table" rid="table8"><xref ref-type="table" rid="table">Table </xref>8</xref></label><caption><title> Distribution of CKD cases by history</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Antecedents</th><th align="center" valign="middle" >N = 33</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >HTA</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >90.91</td></tr><tr><td align="center" valign="middle" >Diabetic sugar</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >84.85</td></tr><tr><td align="center" valign="middle" >Acute renal failure</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >66.67</td></tr><tr><td align="center" valign="middle" >Heart failure</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >57.58</td></tr><tr><td align="center" valign="middle" >Smoking</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >45.45</td></tr><tr><td align="center" valign="middle" >Dyslipidemia</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >36.36</td></tr><tr><td align="center" valign="middle" >Alcoholism</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >33.33</td></tr></tbody></table></table-wrap><table-wrap id="table9" ><label><xref ref-type="table" rid="table9"><xref ref-type="table" rid="table">Table </xref>9</xref></label><caption><title> Distribution of CKD cases according to the paraclinical report</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Paraclinical assessment</th><th align="center" valign="middle" >not</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Anemia (Hb &lt; 7 g/dl)</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >81.9</td></tr><tr><td align="center" valign="middle" >High urea</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Elevated creatinine</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Blood sugar</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >84.85</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >15.15</td></tr><tr><td align="center" valign="middle" >Positive proteinuria</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >72.73</td></tr><tr><td align="center" valign="middle" >Hyperlipidemia</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >48.48</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >51.52</td></tr><tr><td align="center" valign="middle" >Kidney ultrasound</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Normal kidneys</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >27.27</td></tr><tr><td align="center" valign="middle" >Small kidneys</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >72.73</td></tr></tbody></table></table-wrap><table-wrap id="table10" ><label><xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>0</label><caption><title> Distribution of CRF cases by stage of chronic renal failure</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >IRC stage</th><th align="center" valign="middle" >not</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Stage I</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >12.12</td></tr><tr><td align="center" valign="middle" >Stage II</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >27.27</td></tr><tr><td align="center" valign="middle" >Stage III</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >24.24</td></tr><tr><td align="center" valign="middle" >Stage IV</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >36.36</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table11" ><label><xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>1</label><caption><title> Distribution of IRC cases according to treatment</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Treatment</th><th align="center" valign="middle" >N = 33</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Diet + medication</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Reference for Dialysis</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >81.82</td></tr></tbody></table></table-wrap><table-wrap id="table12" ><label><xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>2</label><caption><title> Breakdown of IRC cases according to evolution</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Evolution</th><th align="center" valign="middle" >not</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Stabilization/Reference</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >81.81</td></tr><tr><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >18.18</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table13" ><label><xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>3</label><caption><title> Distribution of CKD cases according to the primary length of hospitalization</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Hospital stay</th><th align="center" valign="middle" >not</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >≤10 days</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >54.55</td></tr><tr><td align="center" valign="middle" >&gt;10 days</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >45.45</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Age</title><p>The age of our patients varies from 35 to 90 years with an average age of 58.2 &#177; 11.7 years. The age group most affected was that of 50 to 59 years in a proportion of 39.39%.</p><p>These results are almost similar to that found in France in 2007 [<xref ref-type="bibr" rid="scirp.109850-ref13">13</xref>] , where 60% of patients were over 60 years old. A study conducted in Tunisia in 2004 [<xref ref-type="bibr" rid="scirp.109850-ref14">14</xref>] reported that 40% of patients were over 60 years old.</p><p>Different results have been reported by other African studies. In fact, in Burkina Faso the average age was 36 years [<xref ref-type="bibr" rid="scirp.109850-ref15">15</xref>] . In Senegal 43.6% of patients were under 46 years old [<xref ref-type="bibr" rid="scirp.109850-ref16">16</xref>] . In C&#244;te d'Ivoire, 57.3% of patients under 45 were found [<xref ref-type="bibr" rid="scirp.109850-ref17">17</xref>] . Bourquia and Coll covered 55% of the patients that have between 30 and 40 years [<xref ref-type="bibr" rid="scirp.109850-ref18">18</xref>] .</p><p>The observation that emerges is that the pathology can occur at any age depending on the etiology. The high frequency in this age group could be explained by the hypothesis on the role of environmental factors, in particular smoking, alcoholism and occupational exposure in the onset and/or progression of renal pathologies.</p></sec><sec id="s4_2"><title>4.2. Sex</title><p>Men were the most affected with 26 cases (78.79%) against 7 (21.21%) for women. The sex ratio was 3.71 in favor of men.</p><p>Comparable results to those found by Ahmed. [<xref ref-type="bibr" rid="scirp.109850-ref19">19</xref>] , who had reported in his study 60% of male patients against 40% of the female sex, i.e. a sex ratio of 1.5 in favor of men.</p><p>A comparable trend was noted in Senegal, Ivory Coast, and Morocco, i.e. respectively for the same parameter 54.4%, 61.8%, 59% [<xref ref-type="bibr" rid="scirp.109850-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.109850-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.109850-ref22">22</xref>] . For Mehier  P., Burnier M. and Pruijm M, [<xref ref-type="bibr" rid="scirp.109850-ref23">23</xref>] , the inequality of sex in the face of renal insufficiency remains for the moment not very thorough in humans. Most of the data come from veterinary studies which have shown that the higher incidence of renal failure in men is due to the lack of protective effect of endogenous estrogens in addition in women to hyper vascularization of the renal tissue and the Ability of renal cells to renew themselves. On may also include IgA nephropathy is diagnosed in young adults worldwide, common in whites and Asians than blacks.</p></sec><sec id="s4_3"><title>4.3. Reasons for Admission</title><p>The reasons for admission were dominated by oligo-anuria, digestive disorders, dyspnea and physical asthenia.</p><p>A study carried out in Bamako in 2001 found the same reasons [<xref ref-type="bibr" rid="scirp.109850-ref18">18</xref>] .</p><p>On the other hand Ahmed [<xref ref-type="bibr" rid="scirp.109850-ref19">19</xref>] , had found in his study that hypercreatininemia represented 70% of the reasons for admission.</p><p>In C&#244;te d’Ivoire the most dominant reason for consultations was hypertension with 40.83%, followed by deterioration of the general condition with 12.23% [<xref ref-type="bibr" rid="scirp.109850-ref13">13</xref>] .</p></sec><sec id="s4_4"><title>4.4. History</title><p>Arterial hypertension, diabetes mellitus and acute renal failure were the antecedents found in the majority of our patients, i.e. in 90.91% respectively; 84.85% and 66.67% of cases. Ahmed [<xref ref-type="bibr" rid="scirp.109850-ref19">19</xref>] found that hypertension accounted for 52.6% of the medical history. A similar trend was observed in Senegal, 50.91% in favor of hypertension [<xref ref-type="bibr" rid="scirp.109850-ref20">20</xref>] .</p><p>Hypertension is found as the most dominant antecedent, this demonstrates the importance of hypertension as an underlying factor in the occurrence of CRF. Hypertension and diabetes develop insidiously and induce cellular and microvascular damage without excluding the kidneys, often patients remain symptom-free for years. It is thus a diagnosis and an early assumption of responsibility is recommended.</p></sec><sec id="s4_5"><title>4.5. Paraclinical</title><p>In our study, the blood count revealed anemia (Hb &lt; 7 g/dl) in 81.9% of cases.</p><p>These results are close to those of Ahmed [<xref ref-type="bibr" rid="scirp.109850-ref19">19</xref>] who found in his study that 60.3% of cases had microcytic anemia, 42.7% had severe anemia with a hemoglobin level between 5 and 6.9 g/dl.</p><p>The kidney ultrasound performed in our study revealed the kidneys to be 72.73% small. Our data conform to international literature in that renal atrophy is often described in subjects with CRSD. It is the consequence of a decrease in the nephrotic capital which is the functional unit of the kidney.</p><p>A superimposable trend was reported by Kasadji [<xref ref-type="bibr" rid="scirp.109850-ref22">22</xref>] , he found in 72.3% of cases small kidneys.</p></sec><sec id="s4_6"><title>4.6. Stage of Chronic Renal Failure</title><p>The majority of patients, 60.6%, had end-stage chronic renal failure. The predominance of the terminal stage of CRF is explained by the delay in the management of Patients with CRF.</p><p>These results are similar to a study carried out in Senegal where the frequency of terminal CKD was 65.5% [<xref ref-type="bibr" rid="scirp.109850-ref21">21</xref>] .</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>Chronic renal failure is a common pathology in our community. It affects patients from their thirties, of both sexes. The majority of patients consult for oligo-anuria, digestive disorders, dyspnea and physical asthenia. High blood pressure and diabetes mellitus are the most common history. Most patients are admitted at the terminal stage. The lethality is quite high (33.33%).</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Tshibangu Lukusa, C., Kasongo Ngoyi, F., Mbenga Kasela, L., Ntambua Mbombo, E., Kabeya Kalala, G., Kabangu Mukanya, C., Bukasa Tshilonda, J.C., Lubo Mumbiyi, M., Lombe Mibanga, T. and Kazadi Mukendi, A. (2021) Epide- miological Aspects of Chronic Renal Failure at Dipumba Hospital in the City of Mbuji- mayi/RD. Congo. Open Access Library Jour- nal, 8: e7413. https://doi.org/10.4236/oalib.1107413</p></sec></body><back><ref-list><title>References</title><ref id="scirp.109850-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Ekoyau, G., Lameire, N., Barsoum, R., Eckardit, K.-U., Levin, A., Levin, N., et al. (2005) The Burden of Kidney Disease: Improving Global Outcomes. 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