<?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><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojneph.2022.121004</article-id><article-id pub-id-type="publisher-id">OJNeph-115117</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Factors Associated with Echocardiographic Abnormalities in Patients with Chronic Kidney Disease in a Tertiary Hospital in Ivory Coast
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Weu</surname><given-names>M. Tia</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdoulaye</surname><given-names>Togo</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>Manzan</surname><given-names>A. Wognin</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>Reine</surname><given-names>M. Koffi</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>Jonathan</surname><given-names>Kpan</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>Bourhaima</surname><given-names>Ouattara</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>Dame</surname><given-names>A. Gnionsahe</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Internal Medicine, University Teaching Hospital (CHU) of Bouaké, Bouaké, C&amp;amp;ocirc;te d'Ivoire</addr-line></aff><aff id="aff2"><addr-line>Nephrology-Hemodialysis Department, University Teaching Hospital (CHU) of Yopougon, Abidjan, C&amp;amp;ocirc;te d'Ivoire</addr-line></aff><pub-date pub-type="epub"><day>12</day><month>01</month><year>2022</year></pub-date><volume>12</volume><issue>01</issue><fpage>36</fpage><lpage>47</lpage><history><date date-type="received"><day>3,</day>	<month>January</month>	<year>2022</year></date><date date-type="rev-recd"><day>8,</day>	<month>February</month>	<year>2022</year>	</date><date date-type="accepted"><day>11,</day>	<month>February</month>	<year>2022</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>
 
 
  Background: Cardiovascular risk factors (CVRF) are very frequent in pa-tients with chronic kidney disease (CKD) and impose a new environment to which the heart must adapt. Cardiac ultrasound is a non-invasive and easy-to-perform examination that allows quantitative and qualitative assessment of the anatomy and function of the heart. The objectives of this study were to describe abnormalities observed on trans-thoracic Doppler-echocar-diography and to investigate the factors associated with them. 
  Materials and Method: This was a monocentric retrospective cross-sectional study conducted in CKD patients hospitalized in a hospital center in C&#244;te d'Ivoire from January 2017 to December 2018. 
  Results: One hundred and four cases were collected with a mean age of 48.87 &#177; 14.47 years and a sex ratio of 1.7. Patients with end-stage-renal-disease (ESRD) represented 83.7% with 55.8% of cases of chronic glomerulonephritis. Cardiovascular risk factors were 100% anemia, 84.6% inflammatory profile, 77.9% hypertension, 76.9% hypocalcemia and in 67.3% oedema. Cardiac abnormalities were observed in 78.8% of patients. Left ventricular hypertrophy (LVH), accounting for 20.2% of cases, was associated with male gender (OR 0.127 CI 0.025 - 0.643; p = 0.013) and hypertensive nephropathy (OR 0.189 CI 0.056 - 0.637; p = 0.007). History of hypertension (OR 0.297 CI 0.084 - 1.050; p = 0.060) and diabetes (OR 5.315 CI 1.260 - 22.419; p = 0.023), hypertensive nephropathy (OR 0.174 CI 0.052 - 0.585; p = 0.005) and hypocalcemia (OR 6.094 CI 1.723 - 21.559; p = 0.005) are incriminated in the development of left ventricular dilatation (LVD) which accounted for 38.5% of cases. 
  Conclusion: Left ventricular hypertrophy and dilatation are the main echocardiographic abnormalities observed in our population.
 
</p></abstract><kwd-group><kwd>Chronic Renal Failure Left Ventricular Hypertrophy</kwd><kwd> Ivory Coast</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Chronic kidney disease remains a public health challenge because of its increasing frequency, its fatal cardiovascular consequences and its very costly management for public authorities. A subject suffering from CKD has a mortality risk multiplied by 20 to 30 compared to the general population of identical age [<xref ref-type="bibr" rid="scirp.115117-ref1">1</xref>]. One out of two deaths is related to the occurrence of cardiovascular complications [<xref ref-type="bibr" rid="scirp.115117-ref2">2</xref>]. The spectrum of cardiovascular diseases observed in CKD includes ischemic heart disease, congestive heart failure and cardiac arrhythmias. The prevalence of these complications is 69.8% and the risk of cardiovascular events increases exponentially with decreasing glomerular filtration rate (GFR) [<xref ref-type="bibr" rid="scirp.115117-ref3">3</xref>]. There are several ways to assess cardiovascular complications, including trans-thoracic cardiac ultrasound. It is a non-invasive examination with a reliable degree of accuracy, routinely used to explore the heart chambers. Left ventricular hypertrophy (LVH), found in 60% - 80% of patients with CKD, is the most common morphological abnormality [<xref ref-type="bibr" rid="scirp.115117-ref4">4</xref>]. Dilated cardiomyopathy and calcifying valvulopathy may also be found [<xref ref-type="bibr" rid="scirp.115117-ref5">5</xref>]. Most of the patients in sub-Saharan Africa die because of lack of treatment for both CKD and the associated cardiovascular abnormalities [<xref ref-type="bibr" rid="scirp.115117-ref6">6</xref>]. There is paucity of local studies on cadiovascular abnormalities in patients with CKD in Cote d’Ivoire. Therefore, we initiated this work in order to evaluate the prevalence of echocardiographic abnormalities in patients with chronic renal failure not yet treated by hemodialysis and to identify the associated factors.</p></sec><sec id="s2"><title>2. Patients and Methods</title><p>The study took place in the hospitalization unit of the Hemodialysis Nephrology Department of the University Teaching Hospital (CHU) of Yopougon in Abidjan in the Republic of Ivory Coast (RCI). It was a retrospective observational survey that was conducted over a period of two (2) years from January 1, 2017 to December 31, 2018. Were included patients aged more than 15 years, both sex, with established chronic kidney disease who have not received any form of renal replacement therapy, and who had a resting trans-thoracic echocardiography performed during their hospitalization. We excluded people less than 15 yars old or with acute kidney injury and patients with a history of cardiac disease followed by a cardiologist. From the hospitalization medical records, we collected on an individual survey form, socio-demographic parameters (age, sex, occupation, and educational level), clinical data (initial kidney disease, GFR, cardiovascular risk factors, and physical examination data), biological data (hemoglobin level, C-reactive protein (CRP), blood calcium, phosphorus, and creatinine levels), and echocardiographic data (functional abnormalities (hypokinesia, hyperkinesia), morphological abnormalities (hypertrophy, dilatation, pericardial detachment or effusion), and left ventricular systolic ejection fraction).</p><p>We adopted the following operational definitions:</p><p>- Glomerular filtration rate (GFR) was estimated using the simplified MDRD formula.</p><p>- CKD was characterized by a GFR &lt; 60 ml/mn/1.73m<sup>2</sup> persistent for more than three (3) months associated with normochromic normocytic anemia, hypocalcemia, hyperphosphatemia and small size kidneys (&lt;100 mm).</p><p>- End-stage renal disease was defined as GFR &lt; 15 ml/min/1.73m<sup>2</sup>.</p><p>- Chronic glomerulonephritis (CGN) associated a massive proteinuria ≥ 3 g/24h and/or microscopic hematuria &gt; 10,000/ml with blood cast, hypertension, edema and chronic renal failure.</p><p>- Hypertensive nephropathy was the combination of past history of hypertension, moderate proteinuria 1 - 2 g/24h, LVH on electrocardiogram and on echocardiography, hypertensive retinopathy and CKD.</p><p>- Chronic tubulointerstitial nephropathy (CTIN) was defined by the absence of hypertension, edema and hematuria, the presence of leukocyturia&gt;10,000/ml without germs, and a history of urological disease.</p><p>- Fluid retention was characterized by the presence of limb edema, facial puffiness or ascites.</p><p>- HBP was defined as systolic blood pressure higher than or equal to 140 mmHg and/or diastolic blood pressure higher than and/or equal to 90 mmHg or regular use of antihypertensive drugs.</p><p>- Pericarditis was the presence of pericardial friction on physical examination, fluid effusion or pericardial detachment on cardiac ultrasound.</p><p>- Heart failure associated a hepato-jugular reflux, jugular turgor, painful hepatalgia or hepatomegaly, shortness of breath, gallop and tachycardia.</p><p>- Systolic dysfunction when the left ventricular ejection fraction was less than 50%; it was said to be severe if less than 30%.</p><p>- Left ventricular dilation was left ventricular telediastolic diameter indexed to body surface area &gt; 31 mm/m<sup>2</sup> in men, &gt; 32 mm/m<sup>2</sup> in women.</p><p>- Right atrial dilation characterized right atrial volume ≥ 35 ml/m<sup>2</sup>.</p><p>- Systolic dysfunction was left ventricular ejection fraction ≤ 50%.</p><p>- Diastolic dysfunction was defined by a left ventricular ejection fraction ≤ 50% associated with mitral flow ≥ 2 and an A-wave deceleration time &lt; 150 ms.</p><p>- Left ventricular hypertrophy (LVH) was reflected by left ventricular mass ≥ 110 g/m<sup>2</sup> in women and ≥135 g/m<sup>2</sup> in men.</p><p>- Hyperphosphoremia in case of phosphorus levels above 68 mg/l.</p><p>- Hypocalcemia if blood calcium level &lt; 88 mg/l.</p><p>- Inflammatory profile when CRP was above 20 mg/l.</p><p>- Anemia if the hemoglobin (Hb) level was below 12 g/dl; anemia was said to be severe if the Hb level was below 6 g/dl.</p><p>Data analysis was performed using Stata16 software. First, we performed a descriptive analysis. Quantitative variables were described as average when their distribution was normal or otherwise as median. In bivariate analysis, the dependent variables were left ventricular dilatation and left ventricular hypertrophy, and the proportions of the qualitative variables were compared among patients with or without one of the above-mentioned echocardiographic abnormalities by a chi-square test or Fisher’s exact test when the numbers were less than 5. For quantitative variables, averages and medians were compared by a STUDENT test, and relative quantitative variables were transformed into categorical variables according to pathological standards. The threshold of p &lt; 0.05 was considered significant.</p></sec><sec id="s3"><title>3. Results</title><p>From January 1, 2017 to December 31, 2018, the inpatient unit of the nephrology department of the University Hospital (CHU) of Yopougon registered 1269 patients (624 in 2017 and 645 in 2018). One hundred and four (104) patients (61 and 43 respectively in 2017 and 2018) were kept according to our inclusion criteria, i.e. 8.2% of hospitalized patients. Socio-demographic and clinical characteristics of patients are resumed in <xref ref-type="table" rid="table1">Table 1</xref>. The mean age was 48 years (SD = 14.47) with extremes of 17 and 83 years. Etiologies of CKD were CGN in 55.8% of cases, hypertensive nephropathy in 39.4% and CTIN in 4.8%. The physical examination noted peripheral edema in 70 patients, associated with signs of cardiac (55 cases) and pulmonary (15 cases) congestion. Uncontrolled hypertension was present in 81 patients (77.9%). All patients had clinical anemia. Serum creatinine ranged from 25 to 180 mg/l with a mean value of 82 mg/l. According to estimated GFR, there were 7 cases of CKD grade 3 KDOQI, 10 cases of CKD grade 4 and 87 cases of CKD grade 5. 80 patients had an azotemia higher than 2 g/l. All patients had a biological anemia and the average hemoglobin level was 8 g/dl. Twenty four hour proteinuria more than 1 g was observed in 80 patients (76%). Disturbances of the phosphocalcic balance (hypocalcemia and hyperphosphoremia) were presents in 77% of the patients. C-reactive protein was high in 82 patients. <xref ref-type="table" rid="table2">Table 2</xref> shows the echocardiographic abnormalities observed in 82 patients, i.e. a frequency of 78.8% abnormality. Hypokinesia was the most common functional abnormality, i.e. 26% of cases, followed by hyperkinesia in 3.8% of cases. Morphological abnormalities observed on echocardiographic were dominated by chamber dilatation (62.5%). Left ventricular dilatation (LVD) accounted for 38.5% of cases. Left ventricular hypertrophy (LVH) was found in 20.2% of cases. The average left ventricular ejection fraction was 57.24% &#177; 13.47%. We did not find any factors associated with the presence or absence of echocardiographic abnormalities in univariate analysis (<xref ref-type="table" rid="table3">Table 3</xref>). The proportion of male patients (p = 0.019) and subjects younger than 55 years (p = 0.02) was statistically higher in the group of those with LVH. Hypertensive nephropathy</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio-demographic and clinical data of population studied</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Data</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >37.5</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >62.5</td></tr><tr><td align="center" valign="middle" >Age group</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >17 - 35 years</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >17.3</td></tr><tr><td align="center" valign="middle" >36 - 55 years</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >47.1</td></tr><tr><td align="center" valign="middle" >56 - 75 years</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >32.7</td></tr><tr><td align="center" valign="middle" >≥76 years</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.9</td></tr><tr><td align="center" valign="middle" >Occupation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Workers</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >20.2</td></tr><tr><td align="center" valign="middle" >Retired persons</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.6</td></tr><tr><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >60.6</td></tr><tr><td align="center" valign="middle" >Farmers</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9;6</td></tr><tr><td align="center" valign="middle" >Past medical history</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HTA</td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >77.9</td></tr><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >20.6</td></tr><tr><td align="center" valign="middle" >Tobacco</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >26</td></tr><tr><td align="center" valign="middle" >Alcohol</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >39.4</td></tr><tr><td align="center" valign="middle" >Clinical signs</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Fluids retention</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >67.3</td></tr><tr><td align="center" valign="middle" >Hypertension</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >57.6</td></tr><tr><td align="center" valign="middle" >Heart failure</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >51.9</td></tr><tr><td align="center" valign="middle" >Acute pulmonary Edema</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >15.4</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Echocardiographic abnormalities in the 82 CKD patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Echocardiographic abnormalities</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle"  colspan="4"  >Functional abnormalities</td></tr><tr><td align="center" valign="middle"  rowspan="3"  ></td><td align="center" valign="middle" >Hypokinesia</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >26</td></tr><tr><td align="center" valign="middle" >Normokinesis</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >70.2</td></tr><tr><td align="center" valign="middle" >Hyperkinesia</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.8</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Morphological abnormalities</td></tr><tr><td align="center" valign="middle"  rowspan="3"  ></td><td align="center" valign="middle" >Cavity dilatation</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >62.5</td></tr><tr><td align="center" valign="middle" >Hypertrophy of walls</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >33.6</td></tr><tr><td align="center" valign="middle" >Pericardial detachment</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >22.1</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Dilated chambers</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="4"  ></td><td align="center" valign="middle" >Left atrium</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >42.3</td></tr><tr><td align="center" valign="middle" >Left ventricle</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >38.5</td></tr><tr><td align="center" valign="middle" >Right atrium</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.6</td></tr><tr><td align="center" valign="middle" >Right ventricle</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.6</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Enlarged walls</td></tr><tr><td align="center" valign="middle"  rowspan="5"  ></td><td align="center" valign="middle" >Left atrium</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >13.5</td></tr><tr><td align="center" valign="middle" >Left ventricle</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >20.2</td></tr><tr><td align="center" valign="middle" >Right atrium</td><td align="center" valign="middle" >02</td><td align="center" valign="middle" >1.92</td></tr><tr><td align="center" valign="middle" >Right ventricle</td><td align="center" valign="middle" >01</td><td align="center" valign="middle" >0.92</td></tr><tr><td align="center" valign="middle" >Interventricular septum</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >10.6</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Left ventricular ejection fraction</td></tr><tr><td align="center" valign="middle"  rowspan="4"  ></td><td align="center" valign="middle" >&gt;70%</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >12.5</td></tr><tr><td align="center" valign="middle" >51% - 70%</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >58.7</td></tr><tr><td align="center" valign="middle" >31% - 50%</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >25</td></tr><tr><td align="center" valign="middle" >≤30%</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.8</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Factors associated with the presence or not of abnormalities observed on echocardiography in univariate analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Normal echocardiography</th></tr></thead><tr><td align="center" valign="middle" >Parameters</td><td align="center" valign="middle" >No (n = 82)</td><td align="center" valign="middle" >Yes (n = 22)</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >OR</td><td align="center" valign="middle" >CI (95%)</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Gender</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >53 (64.6%)</td><td align="center" valign="middle" >12 (54.5%)</td><td align="center" valign="middle" >0.38</td><td align="center" valign="middle" >1.52</td><td align="center" valign="middle" >0.59 - 3.96</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >29 (34.5%)</td><td align="center" valign="middle" >10 (45.5%)</td><td align="center" valign="middle" >0.38</td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >0.25 - 1.70</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Age range</td></tr><tr><td align="center" valign="middle" >&gt;55 years old</td><td align="center" valign="middle" >49 (59.8%)</td><td align="center" valign="middle" >15 (68.2%)</td><td align="center" valign="middle" >0.47</td><td align="center" valign="middle" >0 .67</td><td align="center" valign="middle" >0.25 - 1.89</td></tr><tr><td align="center" valign="middle" >≤55 years old</td><td align="center" valign="middle" >33 (40.2%)</td><td align="center" valign="middle" >7 (31.2%)</td><td align="center" valign="middle" >0.47</td><td align="center" valign="middle" >1.44</td><td align="center" valign="middle" >0.53 - 3.92</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Medical history</td></tr><tr><td align="center" valign="middle" >HBP</td><td align="center" valign="middle" >63 (76.8%)</td><td align="center" valign="middle" >18 (81.8%)</td><td align="center" valign="middle" >0 .61</td><td align="center" valign="middle" >0.78</td><td align="center" valign="middle" >0.29 - 2.08</td></tr><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >17 (20.7%)</td><td align="center" valign="middle" >4 (18.2%)</td><td align="center" valign="middle" >0.79</td><td align="center" valign="middle" >0.85</td><td align="center" valign="middle" >0.25 - 2.84</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Initial nephropathy</td></tr><tr><td align="center" valign="middle" >CGN</td><td align="center" valign="middle" >45 (54.9%)</td><td align="center" valign="middle" >12 (54.5%)</td><td align="center" valign="middle" >0.72</td><td align="center" valign="middle" >0.84</td><td align="center" valign="middle" >0.32 - 2.19</td></tr><tr><td align="center" valign="middle" >Hypertensive nephropathy</td><td align="center" valign="middle" >33 (40.2%)</td><td align="center" valign="middle" >8 (36.4%)</td><td align="center" valign="middle" >0.74</td><td align="center" valign="middle" >1.18</td><td align="center" valign="middle" >0.45 - 3.12</td></tr><tr><td align="center" valign="middle" >Interstitial nephropathy</td><td align="center" valign="middle" >4 (4.9%)</td><td align="center" valign="middle" >2 (9.1%)</td><td align="center" valign="middle" >0.95</td><td align="center" valign="middle" >1.08</td><td align="center" valign="middle" >0.11 - 10.15</td></tr><tr><td align="center" valign="middle"  colspan="6"  >CKD stage</td></tr><tr><td align="center" valign="middle" >GFR &lt; 15 ml/min</td><td align="center" valign="middle" >68 (82.9%)</td><td align="center" valign="middle" >19 (86.4%)</td><td align="center" valign="middle" >0.69</td><td align="center" valign="middle" >0.76</td><td align="center" valign="middle" >0.19 - 2.95</td></tr></tbody></table></table-wrap><p>(p = 0.01), HSR (p = 0.01), Hb &lt; 8 g/dl (p = 0.05) and CRP ≥ 20 mg/dl were associated with the occurrence of LVH LVD was related to female gender and age (<xref ref-type="table" rid="table4">Table 4</xref>). In multivariate analysis, male gender (OR 0.127 CI 0.025 - 0.643; p = 0.013) and hypertensive nephropathy (OR 0.189 CI 0.056 - 0.637; p = 0.007) were associated with the occurrence of LVH (<xref ref-type="table" rid="table5">Table 5</xref>). There was a statistical relationship between LVD and HBP (p = 0.001), diabetes (p = 0.004), CNG (p = 0.003), hypertensive nephropathy (p = 0.059), GFR &lt; 15 ml/min (p = 0.001),</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Factors associated with the existence or not of left ventricular hypertrophy in univariate analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Left ventricular hypertrophy</th></tr></thead><tr><td align="center" valign="middle" >Parameters</td><td align="center" valign="middle" >Yes (n = 21)</td><td align="center" valign="middle" >No (n = 14)</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >OR</td><td align="center" valign="middle" >CI (95%)</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Gender</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >19 (64.6%)</td><td align="center" valign="middle" >7 (50%)</td><td align="center" valign="middle" >0.019</td><td align="center" valign="middle" >3.51</td><td align="center" valign="middle" >1.20 - 10.27</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >2 (9.5%)</td><td align="center" valign="middle" >7 (50%)</td><td align="center" valign="middle" >0.33</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >0.08 - 2.42</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Age range</td></tr><tr><td align="center" valign="middle" >&lt;55 years</td><td align="center" valign="middle" >15 (71.4%)</td><td align="center" valign="middle" >6 (42.9%)</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >3.47</td><td align="center" valign="middle" >1.13 - 10.68</td></tr><tr><td align="center" valign="middle" >≥55 years</td><td align="center" valign="middle" >6 (28.6%)</td><td align="center" valign="middle" >8 (57.1%)</td><td align="center" valign="middle" >0.97</td><td align="center" valign="middle" >1.02</td><td align="center" valign="middle" >0.27 - 3.80</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Medical history</td></tr><tr><td align="center" valign="middle" >HBP</td><td align="center" valign="middle" >17 (80.9%)</td><td align="center" valign="middle" >13 (92.8%)</td><td align="center" valign="middle" >0.18</td><td align="center" valign="middle" >1.87</td><td align="center" valign="middle" >0.75 - 4.65</td></tr><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >2 (9.5%)</td><td align="center" valign="middle" >5 (35.7%)</td><td align="center" valign="middle" >1.22</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >0.03 - 1.59</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Initial nephropathy</td></tr><tr><td align="center" valign="middle" >CGN</td><td align="center" valign="middle" >8 (38.1%)</td><td align="center" valign="middle" >9 (64.3%)</td><td align="center" valign="middle" >0.96</td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >0.33 - 3.20</td></tr><tr><td align="center" valign="middle" >Hypertensive nephropathy</td><td align="center" valign="middle" >13 (61.9%)</td><td align="center" valign="middle" >3 (21.4%)</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >1.18</td><td align="center" valign="middle" >0.45 - 3.12</td></tr><tr><td align="center" valign="middle" >CTIN</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2 (14.3%)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle"  colspan="6"  >CKD stage</td></tr><tr><td align="center" valign="middle" >GFR &lt; 15 ml/min</td><td align="center" valign="middle" >18 (85.7%)</td><td align="center" valign="middle" >12 (85.7%)</td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >1.92</td><td align="center" valign="middle" >0.78 - 4.71</td></tr><tr><td align="center" valign="middle" >GFR ≥ 15 ml/min</td><td align="center" valign="middle" >3 (14.3%)</td><td align="center" valign="middle" >2 (14.3%)</td><td align="center" valign="middle" >0.31</td><td align="center" valign="middle" >3.00</td><td align="center" valign="middle" >0.35 - 25.87</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Clinical signs</td></tr><tr><td align="center" valign="middle" >RHS</td><td align="center" valign="middle" >4 (19.05%)</td><td align="center" valign="middle" >7 (50%)</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >3.45</td><td align="center" valign="middle" >1.20 - 9.94</td></tr><tr><td align="center" valign="middle" >TAS ≥ 160 mmHg</td><td align="center" valign="middle" >8 (38.1%)</td><td align="center" valign="middle" >11 (78.6%)</td><td align="center" valign="middle" >0.30</td><td align="center" valign="middle" >1.77</td><td align="center" valign="middle" >0.60 - 5.25</td></tr><tr><td align="center" valign="middle" >TAD ≥ 100 mmHg</td><td align="center" valign="middle" >9 (42.9%)</td><td align="center" valign="middle" >7 (50%)</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >2.14</td><td align="center" valign="middle" >0.59 - 7.77</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Biological signs</td></tr><tr><td align="center" valign="middle" >Hb level &lt; 8 g/dl</td><td align="center" valign="middle" >15 (71.4%)</td><td align="center" valign="middle" >7 (50%)</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >2.86</td><td align="center" valign="middle" >0.96 - 8.46</td></tr><tr><td align="center" valign="middle" >Hypocalcemia</td><td align="center" valign="middle" >14 (66.7%)</td><td align="center" valign="middle" >13 (92.8%)</td><td align="center" valign="middle" >0.92</td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >0.39 - 2.53</td></tr><tr><td align="center" valign="middle" >Hyperphosphatemia</td><td align="center" valign="middle" >11 (52.4%)</td><td align="center" valign="middle" >7 (50%)</td><td align="center" valign="middle" >0.39</td><td align="center" valign="middle" >1.68</td><td align="center" valign="middle" >0.51 - 5.56</td></tr><tr><td align="center" valign="middle" >CRP ≥ 20 mg/l</td><td align="center" valign="middle" >19 (90.5%)</td><td align="center" valign="middle" >12 (85.7%)</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >2.71</td><td align="center" valign="middle" >1.1 - 6.68</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Factors associated with the occurrence of left ventricular hypertrophy in multivariate analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="3"  ></th><th align="center" valign="middle"  colspan="2"  >Confidence interval</th></tr></thead><tr><td align="center" valign="middle" >Variables</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >GOLD</td><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Superior</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Socio-demographic data</td></tr><tr><td align="center" valign="middle" >Age &lt; 55 years</td><td align="center" valign="middle" >0.39</td><td align="center" valign="middle" >1.691</td><td align="center" valign="middle" >0.500</td><td align="center" valign="middle" >5.719</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >0.013</td><td align="center" valign="middle" >0.127</td><td align="center" valign="middle" >0.025</td><td align="center" valign="middle" >0.643</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Initial nephropathy</td></tr><tr><td align="center" valign="middle" >Hypertensive nephropathy</td><td align="center" valign="middle" >0.007</td><td align="center" valign="middle" >0.189</td><td align="center" valign="middle" >0.056</td><td align="center" valign="middle" >0.637</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Clinico-biological data</td></tr><tr><td align="center" valign="middle" >Fluids retention</td><td align="center" valign="middle" >0.104</td><td align="center" valign="middle" >3.178</td><td align="center" valign="middle" >0.789</td><td align="center" valign="middle" >12.795</td></tr><tr><td align="center" valign="middle" >Hb &lt; 8/dl</td><td align="center" valign="middle" >0.136</td><td align="center" valign="middle" >0.386</td><td align="center" valign="middle" >0.110</td><td align="center" valign="middle" >1.349</td></tr><tr><td align="center" valign="middle" >CRP &gt; 20 mg/l</td><td align="center" valign="middle" >0.932</td><td align="center" valign="middle" >1.081</td><td align="center" valign="middle" >0.180</td><td align="center" valign="middle" >6.504</td></tr></tbody></table></table-wrap><p>SHR (p = 0.029), SBP ≥ 160 mmHg (p = 0.010), Hb &lt; 8 g/dl (p = 0.012), hypocalcemia (p &lt; 0.001), and CRP ≥ 20 mg/l (p = 0.006) (<xref ref-type="table" rid="table6">Table 6</xref>). In multivariate analysis, history of hypertension (p = 0.060) and diabetes (p = 0.023), hypertensive nephropathy (p = 0.005) and hypocalcemia (p = 0.005) were associated with the occurrence of LVD (<xref ref-type="table" rid="table7">Table 7</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>Declining GFR is accompanied by an exponential increase in cardiovascular risk. We conducted this study to evaluate echocardiographic abnormalities in a population of chronic renal failure patients from black Africa. In our study, the age group 36 - 54 years represented 47.1% of the population and the average age was</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Relationship between clinico-biological data and the occurrence of left ventricular dilatation in univariate analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Left ventricular dilatation</th></tr></thead><tr><td align="center" valign="middle" >Parameters</td><td align="center" valign="middle" >Yes (n = 40)</td><td align="center" valign="middle" >No (n = 25)</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >OR</td><td align="center" valign="middle" >CI (95%)</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Gender</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >27 (67.5%)</td><td align="center" valign="middle" >15 (60%)</td><td align="center" valign="middle" >0.051</td><td align="center" valign="middle" >2.80</td><td align="center" valign="middle" >0.98 - 7.99</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >13 (32.5%)</td><td align="center" valign="middle" >10 (40%)</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >19.5</td><td align="center" valign="middle" >2.19 - 173.5</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Age range</td></tr><tr><td align="center" valign="middle" >&lt;55 years</td><td align="center" valign="middle" >25 (62.5%)</td><td align="center" valign="middle" >13 (52%)</td><td align="center" valign="middle" >0.006</td><td align="center" valign="middle" >4.33</td><td align="center" valign="middle" >1.49 - 12.6</td></tr><tr><td align="center" valign="middle" >≥55 years</td><td align="center" valign="middle" >15 (37.5%)</td><td align="center" valign="middle" >12 (48%)</td><td align="center" valign="middle" >0.016</td><td align="center" valign="middle" >6.87</td><td align="center" valign="middle" >1.27 - 37.15</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Medical history</td></tr><tr><td align="center" valign="middle" >HBP</td><td align="center" valign="middle" >10 (25%)</td><td align="center" valign="middle" >7 (28%)</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >5.21</td><td align="center" valign="middle" >1.94 - 13.99</td></tr><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >10 (25%)</td><td align="center" valign="middle" >3 (12%)</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >23.33</td><td align="center" valign="middle" >1.99 - 273.3</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Initial nephropathy</td></tr><tr><td align="center" valign="middle" >CGN</td><td align="center" valign="middle" >21 (52.5%)</td><td align="center" valign="middle" >12 (48%)</td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" >5.54</td><td align="center" valign="middle" >1.74 - 17.7</td></tr><tr><td align="center" valign="middle" >Hypertensive nephropathy</td><td align="center" valign="middle" >19 (47.5%)</td><td align="center" valign="middle" >10 (40%)</td><td align="center" valign="middle" >0.059</td><td align="center" valign="middle" >3.8</td><td align="center" valign="middle" >0.91 - 15.78</td></tr><tr><td align="center" valign="middle" >CTIN</td><td align="center" valign="middle" >0 (0%)</td><td align="center" valign="middle" >3 (12%)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle"  colspan="6"  >CKD stage</td></tr><tr><td align="center" valign="middle" >GFR &lt; 15 ml/min</td><td align="center" valign="middle" >33 (82.5%)</td><td align="center" valign="middle" >19 (76%)</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >4.34</td><td align="center" valign="middle" >1.72 - 10.96</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Clinical signs</td></tr><tr><td align="center" valign="middle" >Fluid retention</td><td align="center" valign="middle" >28 (70%)</td><td align="center" valign="middle" >18 (72%)</td><td align="center" valign="middle" >0.029</td><td align="center" valign="middle" >3.11</td><td align="center" valign="middle" >1.10 - 8.75</td></tr><tr><td align="center" valign="middle" >TAS ≥ 160 mmHg</td><td align="center" valign="middle" >19 (47.5%)</td><td align="center" valign="middle" >12 (48%)</td><td align="center" valign="middle" >0.010</td><td align="center" valign="middle" >4.49</td><td align="center" valign="middle" >1.38 - 14.57</td></tr><tr><td align="center" valign="middle" >TAD ≥ 100 mmHg</td><td align="center" valign="middle" >12 (30%)</td><td align="center" valign="middle" >10 (40%)</td><td align="center" valign="middle" >0.180</td><td align="center" valign="middle" >2.14</td><td align="center" valign="middle" >0.59 - 7.77</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Biological signs</td></tr><tr><td align="center" valign="middle" >Hb level &lt; 8 g/dl</td><td align="center" valign="middle" >25 (62.5%)</td><td align="center" valign="middle" >14 (56%)</td><td align="center" valign="middle" >0.012</td><td align="center" valign="middle" >3.79</td><td align="center" valign="middle" >1.31 - 11.01</td></tr><tr><td align="center" valign="middle" >Hypocalcemia</td><td align="center" valign="middle" >35 (87.5%)</td><td align="center" valign="middle" >16 (64%)</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >8.02</td><td align="center" valign="middle" >2.73 - 23.6</td></tr><tr><td align="center" valign="middle" >Hyperphosphatemia</td><td align="center" valign="middle" >18 (45%)</td><td align="center" valign="middle" >14 (56%)</td><td align="center" valign="middle" >0.539</td><td align="center" valign="middle" >1.47</td><td align="center" valign="middle" >0.43 - 5.03</td></tr><tr><td align="center" valign="middle" >CRP ≥ 20 mg/l</td><td align="center" valign="middle" >32 (80%)</td><td align="center" valign="middle" >25 (100%)</td><td align="center" valign="middle" >0.006</td><td align="center" valign="middle" >3.6</td><td align="center" valign="middle" >1.41 - 9.61</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Factors associated with the occurrence of left ventricular dilatation in multivariate analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >Confidence interval</th></tr></thead><tr><td align="center" valign="middle" >Variables</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >OR</td><td align="center" valign="middle" >Inferior</td><td align="center" valign="middle" >Superior</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Socio-demographic data</td></tr><tr><td align="center" valign="middle" >Age &lt; 55 years</td><td align="center" valign="middle" >0.196</td><td align="center" valign="middle" >2.152</td><td align="center" valign="middle" >0.673</td><td align="center" valign="middle" >6.877</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >0.199</td><td align="center" valign="middle" >0.521</td><td align="center" valign="middle" >0.193</td><td align="center" valign="middle" >1.409</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Medical history</td></tr><tr><td align="center" valign="middle" >HBP</td><td align="center" valign="middle" >0.060</td><td align="center" valign="middle" >0.297</td><td align="center" valign="middle" >0.084</td><td align="center" valign="middle" >1.050</td></tr><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >0.023</td><td align="center" valign="middle" >5.315</td><td align="center" valign="middle" >1.260</td><td align="center" valign="middle" >22.419</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Initial nephropathy</td></tr><tr><td align="center" valign="middle" >Hypertensive nephropathy</td><td align="center" valign="middle" >0.005</td><td align="center" valign="middle" >0.174</td><td align="center" valign="middle" >0.052</td><td align="center" valign="middle" >0.585</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Clinico-biological data</td></tr><tr><td align="center" valign="middle" >Fluids retention</td><td align="center" valign="middle" >0.930</td><td align="center" valign="middle" >1.047</td><td align="center" valign="middle" >0.378</td><td align="center" valign="middle" >2.898</td></tr><tr><td align="center" valign="middle" >GFR &lt; 15 ml/min</td><td align="center" valign="middle" >0.631</td><td align="center" valign="middle" >1.392</td><td align="center" valign="middle" >0.361</td><td align="center" valign="middle" >5.369</td></tr><tr><td align="center" valign="middle" >SAR &gt; 160 mmHg</td><td align="center" valign="middle" >0.289</td><td align="center" valign="middle" >0.599</td><td align="center" valign="middle" >0.233</td><td align="center" valign="middle" >1.543</td></tr><tr><td align="center" valign="middle" >Hb level &lt; 8 g/dl</td><td align="center" valign="middle" >0.506</td><td align="center" valign="middle" >0.702</td><td align="center" valign="middle" >0.247</td><td align="center" valign="middle" >1.991</td></tr><tr><td align="center" valign="middle" >Hypocalcemia</td><td align="center" valign="middle" >0.005</td><td align="center" valign="middle" >6.094</td><td align="center" valign="middle" >1.723</td><td align="center" valign="middle" >21.559</td></tr><tr><td align="center" valign="middle" >CRP &gt; 20 mg/l</td><td align="center" valign="middle" >0.131</td><td align="center" valign="middle" >0.397</td><td align="center" valign="middle" >0.120</td><td align="center" valign="middle" >1.318</td></tr></tbody></table></table-wrap><p>48.87 &#177; 14.47 years. There were 62.5% male patients with a sex ratio of 1.7 in favor of men. These proportions are comparable to those found in the different studies conducted in Ghana and Nepal [<xref ref-type="bibr" rid="scirp.115117-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.115117-ref8">8</xref>]. The mean age was 43.9 &#177; 17.8 years and 59.36 &#177; 14.337 years respectively in Nepal and in Ghana [<xref ref-type="bibr" rid="scirp.115117-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.115117-ref8">8</xref>]. The predominance of male gender was also reported by Yaw et al. as 64.5% [<xref ref-type="bibr" rid="scirp.115117-ref8">8</xref>]. The predominance of chronic renal failure in relatively young males can be explained in part by the role of environmental factors, notably smoking, alcoholism and occupational exposure, in the occurrence and progression of renal pathologies [<xref ref-type="bibr" rid="scirp.115117-ref9">9</xref>]. The frequency of chronic end-stage renal disease (GFR &lt; 15 ml/mn/1.73m<sup>2</sup>) in our series was 83.7%. It was reported 51.2% in Uganda [<xref ref-type="bibr" rid="scirp.115117-ref10">10</xref>]. The causes of chronic renal failure were dominated by chronic glomerulonephritis (55.8%) and hypertensive nephropathy (39.1%) In Nepal, hypertensive (35%) and diabetic (31%) nephropathy were the main causes of chronic failure followed by chronic glomerulonephritis (14%) [<xref ref-type="bibr" rid="scirp.115117-ref7">7</xref>]. CKD due to the progression of hypertensive disease, is more frequent in black subjects than in Caucasians. There is a genetic predisposition of the black race to develop CKD more rapidly. The association of HBP and CKD is very frequent and most chronic kidney diseases are complicated by hypertension at the terminal stage [<xref ref-type="bibr" rid="scirp.115117-ref11">11</xref>]. In addition to the so-called classical risk factors (sedentary lifestyle, dyslipidemia, arterial hypertension, diabetes, chronic alcoholism, chronic smoking and obesity) that patients with CKD share with the general population, they have risk factors that are specific to them such as anemia, chronic inflammatory profile, fluids retention, arteriovenous fistula and phosphocalcic disorders [<xref ref-type="bibr" rid="scirp.115117-ref12">12</xref>]. In our series, we reported arterial hypertension (77.9%), smoking (26%), diabetes (20.2%) and drug abuse (1%). Indeed, all kidney diseases can be complicated by hypertension at the terminal stage, probably due to chronic stimulation of the renin-angiotensin-aldosterone system [<xref ref-type="bibr" rid="scirp.115117-ref10">10</xref>]. During CKD, the left ventricle undergoes structural and functional changes secondary to pressure and volume overload and cell apoptosis [<xref ref-type="bibr" rid="scirp.115117-ref13">13</xref>]. Out of 104 chronic renal failure patients who performed trans-thoracic echocardiography, 82 patients (78.8%) had an abnormality. Our data is comparable to those of some authors which reported 74% of abnormalities [<xref ref-type="bibr" rid="scirp.115117-ref7">7</xref>]. Regarding the functional data, in our series we reported 26% of hypokinesia and 3.8% of hyperkinesia. The preponderance of hypokinesia was found in the study by Fongoro in Mali with 44.74% of cases [<xref ref-type="bibr" rid="scirp.115117-ref14">14</xref>]. Structurally, the morphological abnormalities observed on cardiac ultrasound were dominated by chamber dilatation (62.5%), wall hypertrophy (33.6%) and pericardial detachment (22.1%). In Africa, several studies showed higher frequencies of pericarditis on echocardiography. Thus in Uganda and Mali the frequency was respectively 22% and 19.04% [<xref ref-type="bibr" rid="scirp.115117-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.115117-ref14">14</xref>]. In our study, the changes (dilatation and hypertrophy) of the cardiac structure concerned preferentially the left heart (left ventricle and left atrium). These changes appear to be adaptive responses to pressure and volume overload by stretching existing myocytes and thus increasing the internal dimensions of the left ventricle [<xref ref-type="bibr" rid="scirp.115117-ref15">15</xref>]. Out of the 35 cases of cardiac wall hypertrophy (33.6%), 21 cases of left ventricular hypertrophy (20.2%) were collected. Studies carried out in Uganda, Ghana and Nepal reported cases of left ventricular hypertrophy with proportions of 54.4%, 43%, and 49% respectively [<xref ref-type="bibr" rid="scirp.115117-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.115117-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.115117-ref9">9</xref>]. In literature, the prevalence of left ventricular hypertrophy (LVH) in the population of CKD would vary between 60% - 75% [<xref ref-type="bibr" rid="scirp.115117-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.115117-ref17">17</xref>]. Regarding the associated factors, only male gender and hypertensive nephropathy were associated with the occurrence of LVH in our study. In the study by Yaw in Ghana, in addition to male gender, the occurrence of cardiac abnormality such as left ventricular hypertrophy was caused by systolic blood pressure (SBP), diastolic blood pressure (DBP) and body mass index (BMI) [<xref ref-type="bibr" rid="scirp.115117-ref8">8</xref>]. Out of the 65 cases of heart chamber dilatation (62.5%), 40 concerned the left ventricle (38.5%). Our result was similar to that found in Mali by Fongoro who reported 40.47% of cases of dilatation of the left ventricle [<xref ref-type="bibr" rid="scirp.115117-ref14">14</xref>]. Dilatation permits to increase cardiac output at a comparable level of energy spending, whereas wall thickening redistributes the increased wall tension over a wider area [<xref ref-type="bibr" rid="scirp.115117-ref4">4</xref>]. A history of hypertension and diabetes, hypertensive nephropathy, and hypocalcemia are incriminated in the development of left ventricular dilatation. The analysis of left ventricular systolic function by cardiac ultrasound is done by measuring the percentage of shortening and the left ventricular ejection fraction [<xref ref-type="bibr" rid="scirp.115117-ref18">18</xref>]. The average left ventricular ejection fraction was 57.24% &#177; 13.47% with extremes of 20 and 87%. Thirty patients, which is 28.8% had an ejection fraction of less than 50%. In Uganda, the left ventricular ejection fraction was lower than 50% in 18.9% of patients [<xref ref-type="bibr" rid="scirp.115117-ref10">10</xref>]. This dysfunction is multifactorial including coronary insufficiency, anemia, hyperparathyroidism, uremic toxins, malnutrition and prolonged hemodynamic overload [<xref ref-type="bibr" rid="scirp.115117-ref15">15</xref>].</p></sec><sec id="s5"><title>5. Conclusion</title><p>Our study demonstrates the high frequency of LVH and LVD on trans-thoracic echocardiography of advanced chronic renal failure in an Ivorian hospital. Left ventricular hypertrophy (LVH) was associated with male gender and hypertensive nephropathy. History of hypertension and diabetes, hypertensive nephropathy and hypocalcemia were incriminated in the development of LVH. These left ventricular abnormalities were thus associated with traditional cardiovascular risk factors and severe renal impairment. Echocardiographic evaluation studies should be performed in the early stage of chronic kidney disease for early detection of cardiac abnormalities.</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>Tia, W.M., Togo, A., Wognin, M.A., Koffi, R.M., Kpan, J., Ouattara, B. and Gnionsahe, D.A. (2022) Factors Associated with Echocardiographic Abnormalities in Patients with Chronic Kidney Disease in a Tertiary Hospital in Ivory Coast. Open Journal of Nephrology, 12, 36-47. https://doi.org/10.4236/ojneph.2022.121004</p></sec></body><back><ref-list><title>References</title><ref id="scirp.115117-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Foley, R.N. and Collins, A.J. (2007) End-Stage Renal Disease in the United States: An Update from the United States Renal Data System. 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