<?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">ABC</journal-id><journal-title-group><journal-title>Advances in Biological Chemistry</journal-title></journal-title-group><issn pub-type="epub">2162-2183</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/abc.2023.136016</article-id><article-id pub-id-type="publisher-id">ABC-129601</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject></subj-group></article-categories><title-group><article-title>
 
 
  Lipoprotein (a) Cut-Off in Chronic Kidney Disease Patients with a History of Cardiovascular Disease in Center Hospital University Souro SANOU, Burkina Faso
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ollo</surname><given-names>Da</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>Aoua</surname><given-names>Semde</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>Arnaud</surname><given-names>Kouraogo</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>Emmanuel</surname><given-names>Zongo</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>Amidou</surname><given-names>Sawadogo</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>Aristide</surname><given-names>Zongo</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>Fatou</surname><given-names>Gueye Tall</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>Souleymane</surname><given-names>Fofana</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sanata</surname><given-names>Bamba</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>Anicet Ouedraogo</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib></contrib-group><aff id="aff6"><addr-line>Laboratory of Research in Health Science and Animal Biotechnology (LARESBA), Nazi BONI University (UNB), Bobo-Dioulasso, Burkina Faso</addr-line></aff><aff id="aff4"><addr-line>Department of Pharmaceutical Biochemistry, Faculty of Medicine, Pharmacy and Odontostomatology, Cheikh Anta Diop University, Dakar, Senegal</addr-line></aff><aff id="aff5"><addr-line>Department of Pharmacy, Center Hospital University Souro SANOU, Bobo-Dioulasso, Burkina Faso</addr-line></aff><aff id="aff3"><addr-line>Nephrology-Dialysis Department, Center Hospital University Souro SANOU, Bobo-Dioulasso, Burkina Faso</addr-line></aff><aff id="aff2"><addr-line>Higher Institute of Health Sciences (INSSA), Nazi BONI University (UNB), Bobo-Dioulasso, Burkina Faso</addr-line></aff><aff id="aff1"><addr-line>Department of Medical Biochemistry, Center Hospital University Souro SANOU, Bobo-Dioulasso, Burkina Faso</addr-line></aff><pub-date pub-type="epub"><day>04</day><month>12</month><year>2023</year></pub-date><volume>13</volume><issue>06</issue><fpage>228</fpage><lpage>235</lpage><history><date date-type="received"><day>28,</day>	<month>September</month>	<year>2023</year></date><date date-type="rev-recd"><day>1,</day>	<month>December</month>	<year>2023</year>	</date><date date-type="accepted"><day>4,</day>	<month>December</month>	<year>2023</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>
 
 
  Patients living with chronic kidney disease (CKD) are at high risk of cardiovascular events. Our aim in this study was to assess the cut-off value for lipoprotein (a) (Lp(a)) in CKD patients with a history of cardiovascular disease (CVD). This was a cross-sectional study. Variables including age, sex, history of CVD, body mass index and CKD stage, were collected during CKD patient’s first admission in the nephrology dialysis department. Blood samples were collected for quantitative determination of Lp(a) by immunoturbidimetric method. They were divided into two groups: CKD patients without history of CVD and CKD patients with history of CVD. Fisher’s exact test was used to assess associations with a significance level of 0.05%. Area under the curve (AUC) and new cut-off value for Lp(a) were identified by drawing Receiver Operating Characteristic (ROC) curve. A total of seventy CKD patients with median age of 43 years [minimum-maximum = 15 - 78 years] were included. Patients with history of CVD were 65.71% (46/70). New Lp(a) cut-off point in CKD patients with history of CVD was 66.50 nmol/L [sensitivity, 87.00%; specificity, 58.30%; AUC = 0.727; p = 0.000]. ROC curve demonstrated good performance of Lp(a) to screen CKD patients with history of CVD. Further research is needed to determine an LPA gene polymorphism’s contribution to increasing risk for CVD at each kidney disease stage.
 
</p></abstract><kwd-group><kwd>Lipoprotein (a)</kwd><kwd> Cut-Off</kwd><kwd> Chronic Kidney Disease</kwd><kwd> Cardiovascular Disease</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Chronic kidney disease results in disturbances of lipid metabolism, including elevated Lp(a), a common independent atherosclerotic CVD risk factor [<xref ref-type="bibr" rid="scirp.129601-ref1">1</xref>] . CVD is the main cause of morbidity and mortality in patients at every stage of CKD [<xref ref-type="bibr" rid="scirp.129601-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.129601-ref3">3</xref>] . CVD occurs early in CKD patients and many patients have CVD during their nephrology following [<xref ref-type="bibr" rid="scirp.129601-ref4">4</xref>] . Systematic reviews show that elevated Lp(a) concentration values were associated with a higher risk of fatal and non-fatal cardiovascular events in patients with CKD [<xref ref-type="bibr" rid="scirp.129601-ref5">5</xref>] . Lp(a) concentration is mainly genetically regulated by the LPA gene, coding for apolipoprotein (a) [apo (a)] [<xref ref-type="bibr" rid="scirp.129601-ref6">6</xref>] , but the genetic variants significantly involved in cardiovascular disease have not been fully elucidated [<xref ref-type="bibr" rid="scirp.129601-ref7">7</xref>] . Lp(a) concentration is not routinely determined in patients admitted to the nephrology-dialysis department. Moreover, several practical cut-offs for Lp(a), over 75 nmol/L for the risk of CVD, have been proposed [<xref ref-type="bibr" rid="scirp.129601-ref8">8</xref>] . The present study was conducted to assess the cut-off value for Lp(a) in CKD patients with a history of cardiovascular disease (CVD) during their first admission to the nephrology-dialysis department.</p></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Study Population and Sampling</title><p>This was a cross-sectional study conducted over three months, from September to November 2019. CKD patients admitted for the first time in the nephrology-dialysis department and consent to participate in our study were included. Non-consenting patients, dialysis patients, and patients with acute renal failure were excluded. They were then divided into two groups: CKD patients without history of CVD and CKD patients with a history of CVD.</p></sec><sec id="s2_2"><title>2.2. Data Collection and Variables</title><p>Demographic and clinical variables collected were age, gender, and body mass index (BMI). Biochemical variables collected were serum Lp(a) and creatinine.</p></sec><sec id="s2_3"><title>2.3. Blood Samples and Biochemical Parameters</title><p>Blood samples and biochemical parameters</p><p>Blood samples were taken from fasting patients in dry tubes by venipuncture. The serum was collected after centrifugation at 4000 rpm for 3 minutes. Aliquots of 1.5 millilitres were kept at −20˚C.</p><p>Biochemical parameters were measured on Roche systems Cobas<sup>&#174;</sup> 6000 (France, Roche/Hitachi). Creatininemia was determined by modifying Jaffe’s kinetic method. Lp(a) concentration was determined by particle-enhanced turbidimetric immunoassay with Tina-quant Lipoprotein (a) Gen.2 (LPA2) (Roche Diagnostics GmbH, Germany).</p></sec><sec id="s2_4"><title>2.4. Data Analysis</title><p>Data were analyzed on XLSTAT 2019.4.2 for mean &#177; standard deviation, median, minimum and maximum values and Fisher’s exact test was used to assess associations with a significance level of 0.05%. The glomerular filtration rate was estimated by the Modification of Diet in Renal Disease (MDRD) formula [<xref ref-type="bibr" rid="scirp.129601-ref9">9</xref>] . With the area under the ROC curve analysis, a new Cut-off value was calculated for Lp(a) in CKD patients with history of CVD.</p></sec><sec id="s2_5"><title>2.5. Ethical Considerations</title><p>Informed consent was obtained from all chronic kidney disease patients with or without CVD history in this study. They were alerted about the high morbidity and mortality rate observed in patients with both CKD and cardiovascular disease. Their participation was completely voluntary. Biological samples were well labeled and all data were processed in anonymity.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. General Characteristics of the Study Population</title><p>The study included 70 patients with chronic kidney disease. The gender distribution was 60.00% (42/70) of males with a sex ratio (M/F) of 1.50. Their median age was 43 years [minimum-maximum = 15 - 78 years]. CKD patients with history of CVD were 65.71% (46/70) and were not associated significantly with sex (p = 0.959), age group (p = 0.570), BMI (p = 0.686), GFR (p = 0.316) (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_2"><title>3.2. ROC Curve for CKD Patients with History of CVD</title><p>Lipoproteinemia (a) median value in CKD patients with history of CVD was 130.50 nmol/L (minimum-maximum = 14.50 - 351 nmol/L) and was not significantly different from CKD patients without history of CVD (p = 0.097) (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>Lp(a) cut-off point in CKD patients with history of CVD was 66.50 nmol/L. AUC obtained is 0.727 (95% CI = 0.600 - 0.855) (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>The sensitivity, specificity, predictive positive value (PPV) and predictive negative value (PNV) were 87.00% (95% CI = 73.7 - 95.10), 58.30% (95% CI = 36.60 - 77.90), 80.00% and 70.00% respectively.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The median Lp(a) level was not significantly higher in CKD patients with history of CVD. Lp(a) levels remain unaffected by most clinical conditions, due to the strong genetic control of the LPA gene coding for apolipoprotein (a). However, high concentrations of Lp(a) have been reported in patients with nephrotic syndrome, end-stage renal disease or during dialysis treatment [<xref ref-type="bibr" rid="scirp.129601-ref10">10</xref>] . Lifelong exposure to higher concentrations of Lp(a) is associated with an increased risk of</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Characteristics of patients with history of CVD</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Patients characteristics</th><th align="center" valign="middle"  rowspan="2"  >Study population (n = 70)</th><th align="center" valign="middle"  colspan="2"  >History of CVD:</th><th align="center" valign="middle"  rowspan="2"  >p-value</th></tr></thead><tr><td align="center" valign="middle" >Yes (n = 46)</td><td align="center" valign="middle" >No (n = 24)</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.959</td></tr><tr><td align="center" valign="middle" >F</td><td align="center" valign="middle" >28 (40.00)</td><td align="center" valign="middle" >18 (25.71)</td><td align="center" valign="middle" >10 (14.29)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >M</td><td align="center" valign="middle" >42 (60.00)</td><td align="center" valign="middle" >28 (40.00)</td><td align="center" valign="middle" >14 (20.00)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.570</td></tr><tr><td align="center" valign="middle" >[15 - 30[</td><td align="center" valign="middle" >12 (17.14)</td><td align="center" valign="middle" >7 (10.00)</td><td align="center" valign="middle" >5 (7.14)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[30 - 45[</td><td align="center" valign="middle" >27 (38.57)</td><td align="center" valign="middle" >19 (27.14)</td><td align="center" valign="middle" >8 (11.43)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[45 - 60[</td><td align="center" valign="middle" >18 (25.71)</td><td align="center" valign="middle" >11 (15.71)</td><td align="center" valign="middle" >7 (10.00)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[60 - 75[</td><td align="center" valign="middle" >12 (17.14)</td><td align="center" valign="middle" >9 (12.86)</td><td align="center" valign="middle" >3 (4.29)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;75</td><td align="center" valign="middle" >1 (1.43)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >1 (1.43)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.686</td></tr><tr><td align="center" valign="middle" >&lt;18.5</td><td align="center" valign="middle" >19 (27.14)</td><td align="center" valign="middle" >11 (15.71)</td><td align="center" valign="middle" >8 (11.43)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[18.5 - 24.9]</td><td align="center" valign="middle" >40 (57.14)</td><td align="center" valign="middle" >27 (38.57)</td><td align="center" valign="middle" >13 (18.57)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[25.0 - 29.9]</td><td align="center" valign="middle" >6 (8.57)</td><td align="center" valign="middle" >5 (7.14)</td><td align="center" valign="middle" >1 (1.43)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;30</td><td align="center" valign="middle" >5 (7.14)</td><td align="center" valign="middle" >3 (4.29)</td><td align="center" valign="middle" >2 (2.86)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >GFR (mL/min/1.73m<sup>2</sup>)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.316</td></tr><tr><td align="center" valign="middle" >[15 - 29]</td><td align="center" valign="middle" >12 (17.14))</td><td align="center" valign="middle" >6 (8.57)</td><td align="center" valign="middle" >6 (8.57)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[0 - 15[</td><td align="center" valign="middle" >58 (82.86)</td><td align="center" valign="middle" >40 (57.14)</td><td align="center" valign="middle" >18 (25.71)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>CVD = Cardiovascular disease; BMI = Body mass index; GFR = Glomerular Filtration Rate.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Lp(a) concentration in patients with history of CVD</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Biochemical parameters</th><th align="center" valign="middle"  rowspan="2"  >Study population (n = 70)</th><th align="center" valign="middle"  colspan="2"  >History of CVD:</th><th align="center" valign="middle"  rowspan="2"  >p-value</th></tr></thead><tr><td align="center" valign="middle" >Yes (n = 46)</td><td align="center" valign="middle" >No (n = 24)</td></tr><tr><td align="center" valign="middle" >Lp(a) (nmol/L)</td><td align="center" valign="middle" ></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" >Median (min-max)</td><td align="center" valign="middle" >124.20 (2.40 - 351.80)</td><td align="center" valign="middle" >130.50 (14.50 - 351.80).</td><td align="center" valign="middle" >62.40 (2.40 - 333.40)</td><td align="center" valign="middle" >0.097</td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >146.59 &#177; 106.16</td><td align="center" valign="middle" >172.46 &#177; 105.48</td><td align="center" valign="middle" >97.00 &#177; 90.21</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Creatinemia (&#181;mol/L)</td><td align="center" valign="middle" ></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" >Median (min-max).</td><td align="center" valign="middle" >1147.30 (221.00 - 4463.40)</td><td align="center" valign="middle" >1251.45 (221.00 - 4246.34).</td><td align="center" valign="middle" >864.05 (241.60 - 4463.40)</td><td align="center" valign="middle" >0.244</td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >1350.35 &#177; 970.77</td><td align="center" valign="middle" >1416.37 &#177; 888.10</td><td align="center" valign="middle" >1223.84 &#177; 1121.89</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>CVD = Cardiovascular disease; SD = Standard deviation.</p><p>CVD [<xref ref-type="bibr" rid="scirp.129601-ref11">11</xref>] . Generally, cardiovascular disease is the main cause of morbidity and mortality in patients with CKD, who are more likely to die from CVD before reaching end-stage renal disease [<xref ref-type="bibr" rid="scirp.129601-ref4">4</xref>] . A large number of studies have investigated Lp(a) in end-stage renal disease patients [<xref ref-type="bibr" rid="scirp.129601-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.129601-ref13">13</xref>] , and elevated Lp(a) levels have been observed in patients undergoing hemodialysis or peritoneal dialysis [<xref ref-type="bibr" rid="scirp.129601-ref12">12</xref>] .</p><p>The cut-off value for Lp(a) in the detection of CKD patients with a history of CVD, was found to be 66.50 nmol/L. This calculated cut-off value was lower than the standard cut-off value of 75 nmol/L which was arbitrarily selected as the clinical decision in the white population [<xref ref-type="bibr" rid="scirp.129601-ref8">8</xref>] .</p><p>There are many challenges to determining a common Lp(a) cut-off level in laboratories, including differences in measurement units and techniques, heterogeneity in values reported in different studies, pronounced variations in Lp(a) concentrations between different racial groups [<xref ref-type="bibr" rid="scirp.129601-ref14">14</xref>] and in individuals with co-morbidities (such as chronic renal failure, liver disease and hypothyroidism [<xref ref-type="bibr" rid="scirp.129601-ref15">15</xref>] .</p><p>Many studies on Lp(a) have been performed in white populations, limiting applicability to other ethnic or racial groups [<xref ref-type="bibr" rid="scirp.129601-ref16">16</xref>] . Consequently, the standard cut-off value of 75 nmol/L cannot be applied to our population. Specific cut-off values are needed in clinical practice to identify individuals at risk of CVD requiring intervention [<xref ref-type="bibr" rid="scirp.129601-ref16">16</xref>] . The 2010 European Atherosclerosis Society Consensus Panel recommended using an Lp(a) cutoff value of 50 mg/dl (≈120 nmol/L) [<xref ref-type="bibr" rid="scirp.129601-ref17">17</xref>] . The patient should be from the same race/ethnicity as the one used to establish the cut point. For patients who are black, Japanese, or from other ethnic/racial groups, no such cut points have been established [<xref ref-type="bibr" rid="scirp.129601-ref16">16</xref>] . A study in four ethnic groups demonstrated a similar ethnic-specific difference: mean Lp[a] concentrations in Ghanaians was 77.28 &#177; 75.60 nmol/L and was 1.6 to 2-fold higher than those of German, Chinese, or San populations, respectively [<xref ref-type="bibr" rid="scirp.129601-ref18">18</xref>] . Recent studies in a multi-ethnic population have emphasized the importance of race/ethnicity as a key variable in assigning Lp(a) cut-off values for CVD risk assessment and the need to develop the most clinically useful Lp(a) cutoff values in individual race/ethnicity groups [<xref ref-type="bibr" rid="scirp.129601-ref19">19</xref>] . This Area under the ROC curve (AUC) of 0.727 indicates a significant diagnostic value for Lp(a) in the detection CKD patients with a history of CVD [<xref ref-type="bibr" rid="scirp.129601-ref20">20</xref>] .</p></sec><sec id="s5"><title>5. Conclusion</title><p>This preliminary study suggests that 66.50 nmol/L is a practical lipoprotein (a) cut-off for the history of CVD in chronic kidney disease patients and also the need for systematic screening of Lp(a) levels in patients with CKD, due to the high morbidity and mortality rate observed in patients with both CKD and cardiovascular disease. Further studies are needed to determine whether elevated Lp(a) or LPA gene polymorphisms contribute to the increased risk of cardiovascular disease at each stage of kidney disease.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We sincerely thank all the staff from the nephrology dialysis department for their collaboration.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Da, O., Semde, A., Kouraogo, A., Zongo, E., Sawadogo, A., Zongo, A., Tall, F.G., Fofana, S., Bamba, S. and Ouedraogo, G.A. (2023) Lipoprotein (a) Cut-Off in Chronic Kidney Disease Patients with a History of Cardiovascular Disease in Center Hospital University Souro SANOU, Burkina Faso. 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