<?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">JDM</journal-id><journal-title-group><journal-title>Journal of Diabetes Mellitus</journal-title></journal-title-group><issn pub-type="epub">2160-5831</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jdm.2023.131001</article-id><article-id pub-id-type="publisher-id">JDM-122303</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>
 
 
  Microalbuminuria and Associated Factors in Diabetics at the CNHU-HKM of Cotonou
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Annelie</surname><given-names>Kerekou Hode</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>Hubert</surname><given-names>Dedjan</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>Doucelyne</surname><given-names>d’Almeida</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Endocrinology Teaching Unit, Faculty of Health Sciences of the University of Abomey-Calavi, Abomey-Calavi, Benin</addr-line></aff><pub-date pub-type="epub"><day>06</day><month>01</month><year>2023</year></pub-date><volume>13</volume><issue>01</issue><fpage>1</fpage><lpage>11</lpage><history><date date-type="received"><day>21,</day>	<month>March</month>	<year>2022</year></date><date date-type="rev-recd"><day>3,</day>	<month>January</month>	<year>2023</year>	</date><date date-type="accepted"><day>6,</day>	<month>January</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>
 
 
  Diabetes mellitus is a disease of great frequency and is a major public health problem. Several complications can occur during the course of diabetes such as diabetic nephropathy, which starts with microalbuminuria in diabetic patients. This was a cross-sectional and analytical study which took place from 23 September to 23 December 2021 in the Endocrinology-Metabolism-Nutrition Department of the CNHU-HKM of Cotonou, Benin. We carried out an exhaustive census of the patients. Type 2 diabetic patients were included in the study, and 24-hour microalbumunuria, fundus examination and assessment of complications were performed. We identified 145 type 2 diabetic patients of whom 44 had positive microalbuminuria, 
  <em>i.e.</em> a prevalence of 30.3%. There were 61 men and 84 women with a sex ratio of 0.72. The mean age was 59 years with extremes of 26 and 85 years. The complications identified in diabetics with positive microalbuminuria were Neuropathy (43.2%), Nephropathy (22.7%) and Retinopathy (20.5%). Factors associated with microalbuminuria in diabetics were: age, occupation, hypertension, diabetes imbalance, erectile dysfunction. 
  Conclusion: Microalbuminuria is common in type 2 diabetes. It should be managed early to slow the progression of kidney disease to the end stage.
 
</p></abstract><kwd-group><kwd>Diabetes</kwd><kwd> Microalbuminuria</kwd><kwd> Associated Factors</kwd><kwd> Benin</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Developing countries are faced with the emergence of non-communicable diseases (NCDs), which have very significant consequences in terms of morbidity and mortality. However, NCDs (cardiovascular diseases, type 2 diabetes, cancers, etc.) are on the rise all over the world, including in the countries of the South, in terms of incidence and mortality. Among the NCDs is diabetes, which is characterised by chronic hyperglycaemia, i.e. an excess of sugar in the blood and therefore an excessively high level of glucose (blood sugar). The prevalence of diabetes is increasing worldwide, especially in developing countries. Between 2000 and 2016, premature mortality attributable to diabetes increased by 5% in low-income countries (WHO) [<xref ref-type="bibr" rid="scirp.122303-ref1">1</xref>] . Benin, a developing country, has not been left out of this epidemic trend. According to a national survey in 2001, the prevalence of diabetes in Benin was 1.01%, but this figure rose to 2.6% in 2008 according to the STEPS survey [<xref ref-type="bibr" rid="scirp.122303-ref2">2</xref>] and then to 4.5% in 2015 and 5.1 in 2016 [<xref ref-type="bibr" rid="scirp.122303-ref3">3</xref>] . There are two main types of diabetes: type 1 diabetes which affects about 10% of diabetics and type 2 diabetes which affects 90%. Other types of diabetes affect the remaining 2% (MODY, LADA or diabetes secondary to certain diseases or medication). Several complications can occur during diabetes, such as diabetic nephropathy. Diabetic nephropathy (DN) is the leading cause of end-stage renal disease worldwide [<xref ref-type="bibr" rid="scirp.122303-ref4">4</xref>] . In type 2 diabetics, it begins with microalbuminuria and, as in the general population, is primarily associated with an increased cardiovascular risk. In view of these observations, in a population characterised by a high rate of illiteracy and a low socio-economic level, the present study aims to determine the prevalence of microalbuminuria in diabetics and the associated factors in the Endocrinology-Metabolism-Nutrition Department of the CNHU-HKM of Cotonou in 2021.</p></sec><sec id="s2"><title>2. Study Methods</title><p>The study was a cross-sectional and analytical study that took place from September 23 to December 23, 2021 and included diabetic patients followed up in the endocrinology department of the CNHU-HKM of Cotonou for the management of their diabetes during the study period and who gave their consent. Diabetic nephropathy is the kidney damage of diabetes mellitus. The first stage of diabetic nephropathy is microalbuminuria. The variables studied were age, sex, place of residence, level of education, occupation, religion, marital status, ethnicity, duration of diabetes, glycaemic control, dyslipidaemia and complications of diabetes. The data were collected on the Kobo Collect software and then processed and analysed using R. version 3.6.1. The comparison of proportions and percentages was carried out with the Chi<sup>2</sup> test or Fisher’s exact test, depending on the case. A p &lt; 0.05 was considered statistically significant. The threshold for statistical significance was 5%.</p></sec><sec id="s3"><title>3. Results</title><p>In our sample of 145 type 2 diabetics included in the study, 44 patients had positive microalbuminuria.</p><sec id="s3_1"><title>3.1. Socio-Demographic Characteristics</title><p>Our study population is made up of both sexes and ranges in age from 26 to 85 years.</p><p>Most of the subjects were in the age group 56 - 66 years. The mean age of the study population was 59.74 &#177; 8.83 years with extremes ranging from 26 to 85 years. The median class was 56 - 70 years.</p><p>There was a predominance of women (57.9%) compared to men (2.14%). The majority of our patients, regardless of sex, were between 46 and 76 years old (<xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio-demographic characteristics of diabetic patients followed up in Endocrinology-Metabolism-Nutrition at the CNHU-HKM of Cotonou during the study period (N = 145)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</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" >Male</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >42.0</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >57.9</td></tr><tr><td align="center" valign="middle" >Age (year)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[26 - 36]</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.4</td></tr><tr><td align="center" valign="middle" >[36 - 46]</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >5.5</td></tr><tr><td align="center" valign="middle" >[46 - 56]</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >20.7</td></tr><tr><td align="center" valign="middle" >[56 - 66]</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >53.8</td></tr><tr><td align="center" valign="middle" >[66 - 76]</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >16.6</td></tr><tr><td align="center" valign="middle" >[76 - 86]</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.1</td></tr><tr><td align="center" valign="middle" >Level of education</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.5</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >13.8</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >42.8</td></tr><tr><td align="center" valign="middle" >Superior</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >40.0</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >134</td><td align="center" valign="middle" >92.4</td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.1</td></tr><tr><td align="center" valign="middle" >Widower</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >4.8</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.7</td></tr><tr><td align="center" valign="middle" >Employment status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Employee</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >42.1</td></tr><tr><td align="center" valign="middle" >Artisan</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.5</td></tr><tr><td align="center" valign="middle" >Reseller/Dealer</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >10.3</td></tr><tr><td align="center" valign="middle" >Housekeeper</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >6.2</td></tr><tr><td align="center" valign="middle" >Retired</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >37.9</td></tr></tbody></table></table-wrap></sec><sec id="s3_2"><title>3.2. Characteristic of Diabetes</title><p>All patients had type 2 diabetes and 57.9% of these patients had suffered from diabetes for more than 5 years. The majority of patients (90.3%) were being treated with oral antidiabetic drugs. Diabetes imbalance was found in 69.7% of the patients (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_3"><title>3.3. Vascular Risk Factors in Diabetic Patients</title><p>Hypertension was present in 71.7% of diabetic patients, dyslipidaemia in 55.9% and stroke in 5.5%. The frequency of patients taking alcoholic beverages at least once a month was 15.2% and that of those who occasionally used tobacco was 2.8.</p><p>After recruitment, seventy-seven patients were overweight (53.1%) and 26 patients (17.9%) were obese. The average waist circumference of our patients was 93 cm. The majority of patients (70.8%) were abdominally obese.</p><p>Hypertension was present in 71.7% of patients, most of whom were women (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s3_4"><title>3.4. Diabetes-Related Complications</title><p>During recruitment, the most recorded complications included neurological complications (26.4%), followed by ocular complications (21.4% of cases).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of patients according to type of diabetes, treatment, length of time and diabetes control in the Endocrinology-Metabolism-Nutrition Department of the CNHU-HKM, Cotonou/Benin, 2021</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Age of diabetes (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;5</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >42.1</td></tr><tr><td align="center" valign="middle" >≥5</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >57.9</td></tr><tr><td align="center" valign="middle" >Type of diabetes</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Type 1</td><td align="center" valign="middle" >00</td><td align="center" valign="middle" >00</td></tr><tr><td align="center" valign="middle" >Type 2</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Type of treatment</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >ADO</td><td align="center" valign="middle" >131</td><td align="center" valign="middle" >90.3</td></tr><tr><td align="center" valign="middle" >Insulin</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.5</td></tr><tr><td align="center" valign="middle" >ADO + Insulin</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diabetes control</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >6.2</td></tr><tr><td align="center" valign="middle" >HbA1c ≤ 7</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >30.3</td></tr><tr><td align="center" valign="middle" >HbA1c &gt; 7%</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >69.7</td></tr></tbody></table></table-wrap><p>HbA1c = Glycated haemoglobin.</p></sec><sec id="s3_5"><title>3.5. Presentation of the Population with Microalbuminuria</title><p>Of the 145 patients surveyed, 44 had microalbuminuria, a prevalence of 30.3%.</p><p>The number of patients with positive microalbuminuria was 44 (24 women and 20 men). The majority of patients with positive microalbuminuria were in the 56 - 66 age group.</p><p>The majority with positive microalbuminuria were also hypertensive (36/44 patients).</p><p>The most identified complications in diabetics with positive microalbuminuria were dyslipidaemia (40.7%), neuropathy (27.3%), nephropathy (18.2%) and retinopathy (29.5%) (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>Factors associated with microalbuminuria in patients followed in Endocrinology Metabolism Nutriton at the CNHU-HKM of Cotonou in 2021.</p></sec><sec id="s3_6"><title>3.6. Univariate Analysis</title><p>No statistically significant relationship was observed between microalbuminuria and gender (p = 0.58), education level (p = 0.16), marital status (p = 0.09), and employment status (p = 0.09). However, there was a statistically significant relationship between microalbuminuria and age (p &lt; 0.001). Indeed, 41.1% of patients aged over 59 years had microalbuminuria compared to 10% of those aged under 59 years (<xref ref-type="table" rid="table5">Table 5</xref>).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Vascular risk factors identified in diabetic patients followed at the Endocrinology-Metabolism-Nutrition Department of the CNHU-HKM of Cotonou during the study period (N = 145)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >High blood pressure</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >71.7</td></tr><tr><td align="center" valign="middle" >Alcohol</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >15.2</td></tr><tr><td align="center" valign="middle" >Tobacco</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2.8</td></tr><tr><td align="center" valign="middle" >History of stroke Dyslipidemia</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >5.5</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >55.9</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >44.1</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Distribution of patients according to diabetes-related complications</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Complication</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Stroke</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >5.5</td></tr><tr><td align="center" valign="middle" >Erectile dysfunction</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >6.9</td></tr><tr><td align="center" valign="middle" >Neuropathy</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >26.4</td></tr><tr><td align="center" valign="middle" >Retinopathy</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >21.4</td></tr><tr><td align="center" valign="middle" >Nephropathy</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >14.5</td></tr><tr><td align="center" valign="middle" >Renal failure</td><td align="center" valign="middle" >06</td><td align="center" valign="middle" >4.1</td></tr><tr><td align="center" valign="middle" >No complications</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >21.3</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Relationship between microalbuminuria and socio-demographic characteristics in patients followed up in Endocrinology Metabolism Nutrition at the CNHU-HKM of Cotonou in 2021</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle" >Total</th><th align="center" valign="middle"  colspan="2"  >Microalbuminuria</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >(N)</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >RP</td><td align="center" valign="middle" >IC 95% RP</td><td align="center" valign="middle" >Total</td></tr><tr><td align="center" valign="middle" >Gender</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.58</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >32.8</td><td align="center" valign="middle" >1.1</td><td align="center" valign="middle" >[0/7 - 1.9]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Woman</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >28.6</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Age</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >&lt;59</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >05</td><td align="center" valign="middle" >10.0</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥59</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >41.1</td><td align="center" valign="middle" >4.1</td><td align="center" valign="middle" >[1.7 - 9.8]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Level of education</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.16</td></tr><tr><td align="center" valign="middle" >Educated</td><td align="center" valign="middle" >140</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >29.3</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Not educated</td><td align="center" valign="middle" >05</td><td align="center" valign="middle" >03</td><td align="center" valign="middle" >60.0</td><td align="center" valign="middle" >2.0</td><td align="center" valign="middle" >[0.9 - 4.4]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Marital status</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.09</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >134</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >28.4</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >06</td><td align="center" valign="middle" >54.6</td><td align="center" valign="middle" >1.9</td><td align="center" valign="middle" >[0.9 - 3.5]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Employment status</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.09</td></tr><tr><td align="center" valign="middle" >Employee</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >21.3</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >[0.3 - 1.4]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Not employed</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >09</td><td align="center" valign="middle" >31.0</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Retired</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >40.0</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >[0.7 - 2.4]</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>No statistically significant relationship was observed between microalbuminuria and Retinopathy (p = 1.00), Diabetic Nephropathy (p = 0.07), Peripheral Neuropathy (p = 0.09), and Stroke (p = 0.25). <xref ref-type="table" rid="table6">Table 6</xref> shows the relationship between microalbuminuria and diabetic complications (<xref ref-type="table" rid="table7">Table 7</xref>).</p></sec><sec id="s3_7"><title>3.7. Biological and Clinical Parameters</title><p>No statistically significant relationship was observed between microalbuminuria and diabetes age (p = 0.71), however, there was a statistically significant relationship between microalbuminuria and glycaemic control: HbA1c &gt; 7% (p = 0.03), dyslipidaemia (p = 0.01), hypertension (p &lt; 0.001) and erectile dysfunction (p &lt; 0.001) (<xref ref-type="table" rid="table7">Table 7</xref>).</p></sec><sec id="s3_8"><title>3.8. Multivariate Analysis</title><p><xref ref-type="table" rid="table8">Table 8</xref> shows the univariate and multivariate analysis of the occurrence of microalbuminuria. In multivariate analysis, after adjustment for education level, marital status, occupational status, diabetic nephropathy, peripheral neuropathy and erectile dysfunction, microalbuminuria was significantly associated with age (p = 0.00), glycaemic control (p = 0.01), dyslipidaemia (p = 0.03) and hypertension (p &lt; 0.001). Patients over 59 years of age were 5.3 times more likely to have</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Relationship between microalbuminuria and diabetic complications in patients followed up in Endocrinology-Metabolism-Nutrition at the CNHU-HKM of Cotonou in 2021</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle" >Total</th><th align="center" valign="middle"  colspan="2"  >Microalbuminuria</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >(N)</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >RP</td><td align="center" valign="middle" >IC 95% RP</td><td align="center" valign="middle" >Total</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Retinopathy</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >09</td><td align="center" valign="middle" >29.0</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.00</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >30.7</td><td align="center" valign="middle" >1.1</td><td align="center" valign="middle" >[0.6 - 1.9]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diabetic nephropathy</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.07</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >47.6</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >[0.9 - 2.5]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >124</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >27.4</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Peripheral neuropathy</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.09</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >40.0</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >[0.9 - 2.5]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Stroke</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.25</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >04</td><td align="center" valign="middle" >50.0</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >[0.8 - 3.5]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >137</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >29.2</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Relationship between microalbuminuria and biological and clinical complications in patients followed in Endocrinology Metabolism Nutrition at the CNHU-HKM of Cotonou in 2021</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle" >Total</th><th align="center" valign="middle"  colspan="2"  >Microalbuminuria</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >(N)</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >RP</td><td align="center" valign="middle" >IC 95% RP</td><td align="center" valign="middle" >Total</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Age of diabetes</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><td align="center" valign="middle" >0.71</td></tr><tr><td align="center" valign="middle" >&lt;5</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >27.9</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥5</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >32.1</td><td align="center" valign="middle" >1.2</td><td align="center" valign="middle" >[0.7 - 1.9]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Glycemic balance</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.03</td></tr><tr><td align="center" valign="middle" >HbA1c &lt; 7%</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >24.8</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HbA1 &gt; 7%</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >43.2</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >[1.1 - 2.8]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Dyslipidemia</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >07</td><td align="center" valign="middle" >63.6</td><td align="center" valign="middle" >2.3</td><td align="center" valign="middle" >[1.4 - 3.9]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >134</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >27.6</td><td align="center" valign="middle" >1.0</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" ></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><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >39.4</td><td align="center" valign="middle" >5.4</td><td align="center" valign="middle" >[1.8 - 10.4]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >03</td><td align="center" valign="middle" >07.3</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Erectile dysfunction</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><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >80.0</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >[2.0 - 4.5]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >135</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >26.7</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Factors associated with microalbuminuria in patients followed in Endocrinology Metabolism Nutrition at the CNHU-HKM of Cotonou in 2021</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="3"  >Univariate analysis</th><th align="center" valign="middle"  colspan="3"  >Multivariate analysis</th></tr></thead><tr><td align="center" valign="middle" >ORb</td><td align="center" valign="middle" >[IC 95% OR]</td><td align="center" valign="middle" >p</td><td align="center" valign="middle" >OR<sub>a</sub></td><td align="center" valign="middle" >[IC 95% OR]</td><td align="center" valign="middle" >p</td></tr><tr><td align="center" valign="middle" >Age</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><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;59</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥59</td><td align="center" valign="middle" >4.1</td><td align="center" valign="middle" >[1.7 - 9.8]</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >5.3</td><td align="center" valign="middle" >[1.6 - 7.4]</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of education</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Educated</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Not educated</td><td align="center" valign="middle" >2.0</td><td align="center" valign="middle" >[0.9 - 4.4]</td><td align="center" valign="middle" >0.16</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >[0.2 - 3.2]</td><td align="center" valign="middle" >0.78</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Marital status</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >1.9</td><td align="center" valign="middle" >[0.9 - 3.5]</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >[0.7 - 5.4]</td><td align="center" valign="middle" >0.14</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Employment Status</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" >Employee</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >[0.3 - 1.4]</td><td align="center" valign="middle"  rowspan="3"  >0.09</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >[0.2 - 2.5]</td><td align="center" valign="middle" >0.52</td></tr><tr><td align="center" valign="middle" >Not employed</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Retired</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >[0.7 - 2.4]</td><td align="center" valign="middle" >1.1</td><td align="center" valign="middle" >[0.3 - 4.6]</td><td align="center" valign="middle" >0.88</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Diabetic Nephropathy</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >[0.9 - 2.5]</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >[0.1 - 1.4]</td><td align="center" valign="middle" >0.14</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Peripheral neuropathy</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >[0.9 - 2.5]</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >1.8</td><td align="center" valign="middle" >[0.3 - 2.1]</td><td align="center" valign="middle" >0.51</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Glycemic balance</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HbA1c &lt; 7%</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HbA1 &gt; 7%</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >[1.1 - 2.8]</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >[1.1 - 4.7]</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Dyslipidemia</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><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" >2.3</td><td align="center" valign="middle" >[1.4 - 3.9]</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >2.2</td><td align="center" valign="middle" >[1.2 - 4.5]</td><td align="center" valign="middle" >0.03</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</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" ></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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >5.4</td><td align="center" valign="middle" >[1.8 - 10.4]</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >7.1</td><td align="center" valign="middle" >[2.0 - 10.4]</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Erectile dysfunction</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >[2.0 - 4.5]</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >2.4</td><td align="center" valign="middle" >[0.7 - 5.2]</td><td align="center" valign="middle" >0.11</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>microalbuminuria than patients under 59 years of age. Similarly, patients with glycaemic imbalance were about twice as likely to have microalbuminuria compared to those without. Furthermore, the risk of developing microalbuminuria was 2.2 times greater in patients with dyslipidaemia. The risk of developing microalbuminuria in patients with hypertension was 7.1 times that of patients without hypertension.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The prevalence of microalbuminuria in diabetics in our present study was 30.3%. Several authors in their studies have come to a similar result.</p><p>During our study, we counted 145 type 2 diabetic patients with a predominance of women represented at 57.93%. This predominance of women was also found by Djrolo et al. 56.1% [<xref ref-type="bibr" rid="scirp.122303-ref3">3</xref>] , Agboton et al. (58.6%) in Benin [<xref ref-type="bibr" rid="scirp.122303-ref5">5</xref>] and also by Yamego et al. [<xref ref-type="bibr" rid="scirp.122303-ref6">6</xref>] in Senegal.</p><p>They had a mean age of 59 years with extremes ranging from 26 to 85 years. This average is similar to that of Thaleb et al. [<xref ref-type="bibr" rid="scirp.122303-ref7">7</xref>] in Lebanon (56 years) and Yamego et al. [<xref ref-type="bibr" rid="scirp.122303-ref6">6</xref>] in Senegal (58 years).</p><p>This 30.3% prevalence of microalbuminuria is far from those found by Djrolo (39.2%) [<xref ref-type="bibr" rid="scirp.122303-ref3">3</xref>] Monabeka et al. [<xref ref-type="bibr" rid="scirp.122303-ref8">8</xref>] in Congo (37.9%) and by Yameogo et al. [<xref ref-type="bibr" rid="scirp.122303-ref6">6</xref>] in Senegal (36.8%) in 2012. However, it is lower than that found by Charfi et al. in Tunisia (2010) who found a prevalence of 15% [<xref ref-type="bibr" rid="scirp.122303-ref9">9</xref>] . This difference would be due to the fact that their sample size was small and their study was retrospective. Also, this prevalence among type 2 diabetics varies between countries and studies. This would mean that diabetic patients in our series benefit from early management once in the microalbuminuria stage which prevents progression to the advanced stages.</p><p>In addition, microalbuminuria is significantly associated with hypertension, diabetes imbalance in some studies such as Djrolo in Benin [<xref ref-type="bibr" rid="scirp.122303-ref3">3</xref>] , Yamego et al. in Senegal [<xref ref-type="bibr" rid="scirp.122303-ref6">6</xref>] . Our study also shows that type 2 diabetics with microalbuminuria have poor glycaemic control compared to those without microalbuminuria.</p><p>From the analysis of these results, we can deduce that microalbuminuria is associated with age, poor glycaemic control revealed by an HbA1c level above 7% as reported in several studies [<xref ref-type="bibr" rid="scirp.122303-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.122303-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.122303-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.122303-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.122303-ref13">13</xref>] . This is especially true as we found in our series an association between glycated haemoglobin and microalbuminuria in type 2 diabetics (OR = 1.6; 95% CI: 1.1 - 4.7; p = 0.01).</p><p>Nephropathy is associated with a particular dyslipidemia, by increase of lipoprotein(a) linked to renal loss of apoCII (LPL activator), and accumulation of apoCII (LPL inhibitor). Boufaida et al. 2016 (Morocco) [<xref ref-type="bibr" rid="scirp.122303-ref14">14</xref>] noted in their studyconducted in Morocco a significant relationship between dyslipidemia (p = 0.008) and microalbuminuria in diabetics. Dyslipidemia (p = 0.03) is also associated with microalbuminuria in diabetics in our study.</p><p>The determinants of microalbuminuria can be divided into two factors non-modifiable factors (age) and modifiable factors (diabetes control, hypertension, and dyslipidaemia) [<xref ref-type="bibr" rid="scirp.122303-ref15">15</xref>] .</p><p>Multivariable analysis enabled us to identify an association between microalbuminuria and age: p = 0.00, hypertension: p = 0.00, diabetes control: p = 0.01, dyslipidaemia p = 0.03. These different factors have been identified in many other studies by various authors such as the study by Varghese et al. [<xref ref-type="bibr" rid="scirp.122303-ref15">15</xref>] , Yamego et al. [<xref ref-type="bibr" rid="scirp.122303-ref6">6</xref>] , Monabeka et al. [<xref ref-type="bibr" rid="scirp.122303-ref8">8</xref>] . In these studies, the main factors found were age, hypertension, unbalanced diabetes and the length of time diabetes had been present. In our study, however, statistical analysis revealed no significant association between microalbuminuria and the duration of diabetes.</p></sec><sec id="s5"><title>5. Conclusion</title><p>At the end of this study which focused on microalbuminuria and associated factors in diabetics followed at the University Clinic of Endocrinology Metabolism Nutrition of the CNHU-HKM of Cotonou, Benin in 2021, it appears as follows. The prevalence of microalbuminuria is high 30.3% in the diabetics included in the study. Factors associated with microalbuminuria are: age, occupation, hypertension, unbalanced diabetes, erectile dysfunction, dyslipidaemia, the determination of these risk factors is essential for the identification of patients at risk and management.</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>Kerekou Hode, A., Dedjan, H. and d’Almeida, D. (2023) Microalbuminuria and Associated Factors in Diabetics at the CNHU-HKM of Cotonou. Journal of Diabetes Mellitus, 13, 1-11. https://doi.org/10.4236/jdm.2023.131001</p></sec></body><back><ref-list><title>References</title><ref id="scirp.122303-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization (2016) Global Diabetes Report. 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