<?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.2023.134021</article-id><article-id pub-id-type="publisher-id">JDM-128947</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>
 
 
  Prevalence and Correlates of Macrovascular Complications at Type 2 Diabetes Diagnosis in a Tertiary Hospital in Yaound&#233;, Cameroon
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Francine</surname><given-names>Mendane Ekobena</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>Martine</surname><given-names>Claude Etoa Etoga</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>Mesmin</surname><given-names>Dehayem</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>Carole</surname><given-names>Laurence Ngo Yon</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>Pauline</surname><given-names>Ngo Balôgôg</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>Guy</surname><given-names>Dieudonné Mvogo</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>André</surname><given-names>Pascal Kengne</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eugène</surname><given-names>Sobngwi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jean</surname><given-names>Claude Mbanya</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Endocrinology and Metabolic Diseases Unit, Yaoundé Central Hospital, Yaoundé, Cameroon</addr-line></aff><aff id="aff4"><addr-line>Faculty of Medicine and pharmaceutical Sciences, University of Douala, Douala, Cameroon</addr-line></aff><aff id="aff1"><addr-line>Internal Medicine Unit, Essos Hospital Center, Yaoundé, Cameroon</addr-line></aff><aff id="aff6"><addr-line>Department of Public Health, Kesmonds International University, Ngaoundéré, Cameroon</addr-line></aff><aff id="aff2"><addr-line>Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon</addr-line></aff><aff id="aff7"><addr-line>Department of Medicine, University of Cape Town, Cape Town, South Africa</addr-line></aff><aff id="aff5"><addr-line>Medical Analysis Laboratory, Essos Hospital Center, Yaoundé, Cameroon</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>11</month><year>2023</year></pub-date><volume>13</volume><issue>04</issue><fpage>269</fpage><lpage>283</lpage><history><date date-type="received"><day>22,</day>	<month>September</month>	<year>2023</year></date><date date-type="rev-recd"><day>6,</day>	<month>November</month>	<year>2023</year>	</date><date date-type="accepted"><day>9,</day>	<month>November</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>
 
 
  Introduction: The presence of vascular complications at type 2 diabetes (T2D) diagnosis is a heavy burden for developing countries. We aimed to determine the prevalence and correlates of macrovascular complications at T2D diagnosis in Yaound&#233;, Cameroon. 
  Materials and Methods: We conducted a cross-sectional study at the Essos Hospital Center in Yaound&#233; from January 2017 to June 2021. We recruited patients newly diagnosed with T2D who, simultaneously, with assessed macrovascular complications including stroke, myocardial infarction (MI) and arterial foot ulcer (AFU). Correlates were investigated using Chi square test and logistic regressions. The significance level was set at 5%. 
  Results: In all, 286 newly diagnosed diabetic patients (51.7% being men) were included. The mean age was 52.6 &#177; 12.3 years. Prevalent cardiovascular risk factors at diabetes diagnosis were a dyslipidemia (63.6%), sedentary lifestyle (57.7%) and family history of type 2 diabetes (51.6%). The prevalence of macrovascular complications was 17.5% with 8.4% stroke, 5.6% myocardial infarction and 3.4% arterial foot ulcer. Hypertension was associated with all macrovascular complications (p &lt; 0.05). High glycated hemoglobin and age ≥ 50 years were associated with stroke while tobacco and obesity were associated with MI and AFU respectively. 
  Conclusion: Macrovascular complications are frequent at type 2 diabetes diagnosis and are represented by stroke and myocardial infarction in our study, highlighting the importance of cardiovascular risk evaluation and reduction in people with diabetes right from diagnosis.
 
</p></abstract><kwd-group><kwd>Diabetes Mellitus</kwd><kwd> Macrovascular Complications</kwd><kwd> Cameroon</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Diabetes mellitus remains a global public health problem. According to the International Diabetes Federation (IDF), the number of people with diabetes aged 20 to 79 years was 537 million in 2021 with a projected growth of 11.3% by 2030 [<xref ref-type="bibr" rid="scirp.128947-ref1">1</xref>] . Type 2 diabetes (T2D) accounts for about 90% of diabetes, with higher prevalence in low- and middle-income countries (LMICs) [<xref ref-type="bibr" rid="scirp.128947-ref1">1</xref>] . It is a progressive pathology fraught with macrovascular and microvascular complications. Macrovascular complications include stroke, myocardial infarction (MI) and diabetic arterial foot disease, arrhythmias, sudden death [<xref ref-type="bibr" rid="scirp.128947-ref2">2</xref>] . The pathophysiological mechanism is the process of atherosclerosis, which combines chronic inflammation of the arterial walls, oxidation of Low Density Lipoprotein (LDL) particles, oxidative stress, and atherosclerotic plaque formation [<xref ref-type="bibr" rid="scirp.128947-ref3">3</xref>] . Abnormalities in endothelial and vascular smooth muscle cell function, as well as a propensity to thrombosis, contribute to atherosclerosis and its complications [<xref ref-type="bibr" rid="scirp.128947-ref4">4</xref>] . The metabolic abnormalities that characterize diabetes, such as hyperglycemia, increased free fatty acids, and insulin resistance, each provoke molecular mechanisms that contribute to vascular dysfunction. These include decreased bioavailability of nitric oxide (NO), increased oxidative stress, disturbances of intracellular signal transduction, and activation of receptors for advanced glycation end products AGEs [<xref ref-type="bibr" rid="scirp.128947-ref4">4</xref>] . In addition, platelet function is abnormal, and there is increased production of several prothrombotic factors. Several studies have reported the prevalence of macrovascular complications in patients with type 2 diabetes. In Africa, Mbanya et al. in a 2003 meta-analysis found 5% - 8% of coronary heart disease, and 1.5% - 7% of lower limb amputations [<xref ref-type="bibr" rid="scirp.128947-ref5">5</xref>] . In Cameroon, Tamba et al. found 5% stroke, 17.1% arterial foot and 23.6% coronary heart disease [<xref ref-type="bibr" rid="scirp.128947-ref6">6</xref>] . These complications remain the most frequent causes of morbidity and mortality in patients with type 2 diabetes [<xref ref-type="bibr" rid="scirp.128947-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.128947-ref8">8</xref>] . The insidious, low-symptoms evolution of type 2 diabetes and its late diagnosis in Africa increase the risk of uncovering type 2 diabetes during a macrovascular complication with dire consequences in LMICs. These consequences include increased management costs, greater psychological impact on patients and their families, increased risk of morbidity and mortality and reduced life expectancy for patients [<xref ref-type="bibr" rid="scirp.128947-ref9">9</xref>] . The need of data on newly T2D diagnosed people and to tailor diabetes policies motivated us to conduct this study, the aim of which was to determine the prevalence and correlates of macrovascular complications at the time of diagnosis of type 2 diabetes.</p></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Type of Study</title><p>We conducted a cross-sectional study with prospective data collection in the Department of internal medicine and dietetics of Essos Hospital Center (Yaound&#233;, Cameroon) from January 2017 to June 2021. Essos Hospital Center is a reference hospital in Yaound&#233;, the Capital City of Cameroon, with nationwide coverage. The department of Internal Medicine and Dietetics has two sections (in-patient and out-patient sections). The in-patients section has 43 beds shared across all disciplines of Internal medicine and blood glucose levels are taken from all patients regardless of their initial diagnosis. Diabetic patients will be cared for by the endocrinologist with the participation of medical staff (internists, general practitioners). Out-patients were diabetic patients referred to an endocrinology consultation for specialized care. The study was offered to patients with the participation of general practitioners on duty in the department. As soon as the diagnosis of diabetes is confirmed, a systematic assessment is requested from the patient including a renal and liver assessment, a lipid profile, a uric acid dosage, a fundus examination and resting electrocardiogram. The assessment can be completed according to the clinical presentation.</p><p>Inclusion criteria: we included all patients hospitalized or seen in an endocrinology consultation for new onset type 2 diabetes. The diagnostic criteria for diabetes used were those of the 2017 American Diabetic Association (ADA), namely fasting blood glucose ≥ 1.26 g/l on 2 occasions and/or HbA1C ≥ 6.5% and/or random blood glucose ≥ 2 g/l with symptoms of hyperglycemia [<xref ref-type="bibr" rid="scirp.128947-ref10">10</xref>] .</p><p>Exclusion criteria: we excluded patients with type 1 diabetes, patients already being treated for type 2 diabetes and patients refusing to participate in the study.</p><p>Using the 19.05% prevalence of macrovascular complications found in India by Taneja et al. [<xref ref-type="bibr" rid="scirp.128947-ref11">11</xref>] and considering a study power of 95%, the estimated sample size was 237 patients.</p></sec><sec id="s2_2"><title>2.2. Data Collection</title><p>Clinical data</p><p>We used a pre-designed and pre-tested questionnaire validated by expert endocrinologist for data collection. It included socio-economic profile (age, sex, occupation, education level, marital status), vital and anthropometric parameters (blood pressure, body mass index [BMI], abdominal circumference), and circumstances of diabetes discovery. We collected associated cardiovascular risk factors, namely: pre-existing or new hypertension defined as blood pressure ≥ 140/90mm Hg at rest for at least 10 minutes on at least two occasions [<xref ref-type="bibr" rid="scirp.128947-ref12">12</xref>] . Overweight and obesity were defined by a BMI ≥ 25 kg/m<sup>2</sup> and 30 kg/m<sup>2</sup> respectively and visceral obesity by an abdominal circumference &gt; 94 cm in men and &gt;80 cm in women [<xref ref-type="bibr" rid="scirp.128947-ref13">13</xref>] . Dyslipidemia was defined as triglyceridemia ≥ 1.50 g/l and/or high density lipoprotein (HDL) cholesterol values &lt; 0.40 g/l in men (&lt;0.50 g/l in women) and/or low density lipoprotein (LDL) cholesterol &gt; 1 g/l [<xref ref-type="bibr" rid="scirp.128947-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.128947-ref13">13</xref>] . Smoking was defined as active consumption and/or cessation of less than 03 months. A sedentary lifestyle was defined as a lack of moderate-to-intense physical activity of at least 150 minutes per week or less than 75 minutes of intense activity per week [<xref ref-type="bibr" rid="scirp.128947-ref14">14</xref>] . Family history of type 2 diabetes was also recorded.</p><p>Biological data</p><p>Blood glucose levels were measured using a glucometer giving plasma blood glucose values and/or at the biological analysis laboratory at Essos Hospital using the enzymatic end-point method. Total cholesterol, HDL cholesterol and triglycerides were determined using the enzymatic colorimetric end-point method. LDL cholesterol concentration was calculated using the Friedewald formula. Glycated hemoglobin (HbA1c) was determined by SEBIA capillary electrophoresis and/or high-performance liquid chromatography.</p><p>Assessment of macrovascular complications</p><p>The macrovascular complications at type 2 diabetes diagnosis investigated included stroke, myocardial infarction and arterial foot ulcer. Stroke was defined as a neurological deficit attributed to a vascular (ischemic or hemorrhagic) origin in the central nervous system and documented by brain imaging [<xref ref-type="bibr" rid="scirp.128947-ref15">15</xref>] . Myocardial infarction was defined by symptoms of ischemia and/or electrocardiographic changes (ST-segment modification or pathological Q wave) and/or echographic (akinesia or hypokinesia) signs [<xref ref-type="bibr" rid="scirp.128947-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.128947-ref16">16</xref>] . The expertise of cardiologist was required for the evaluation of patients with a myocardial infarction. Arterial foot ulcer was defined as any ulcerated lesion on a foot. Arterial terrain was defined by a systolic pressure index &lt; 0.9 [<xref ref-type="bibr" rid="scirp.128947-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.128947-ref18">18</xref>] and confirmed by arterial doppler ultrasound and/or angio scan of the lower limbs.</p></sec><sec id="s2_3"><title>2.3. Ethical Considerations</title><p>The institutional ethics committee of Essos Hospital approved the study. All patients included in the study gave their consent and signed a consent form. For disabled patients, a family representative signed the form.</p></sec><sec id="s2_4"><title>2.4. Statistical Analyses</title><p>Data were entered and analyzed using Epi info version 7.2.5 software. Quantitative variables were expressed as mean &#177; standard deviation (SD) when normally distributed, or as median (Q1-Q3) for skewed variables. Categorical variables were presented as proportions. The Chi square test was used to look for associations between variables. Logistic regressions were used to investigate the correlates of macrovascular complications. A p &lt; 0.05 value was considered statistically significant.</p></sec></sec><sec id="s3"><title>3. Results</title><p>The study was proposed to 350 patients with newly discovered type 2 diabetes. In all, 20 potential participants refused to sign the consent form and 44 were unable to undergo further investigations. We thus retained 286 patients (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><sec id="s3_1"><title>3.1. Characteristics of the Study Population</title><p>The study population was made up of 51.7% men with 38.5% of participants working in the private sector. Mean age was 52.6 &#177; 12.3 years. Median blood glucose and glycated hemoglobin levels were 3 (2.06 - 3.92) g/l and 10 (8.3 - 12.2)%, respectively. Median body mass index was 28.5 (25.6 - 32.7) kg/m<sup>2</sup>. We noted a statistically significant difference between gender and blood glucose values and profession<sup> </sup>(<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_2"><title>3.2. Circumstances of Discovery of Type 2 Diabetes</title><p>Type 2 diabetes was discovered in the context of a macrovascular complication and fortuitously in 17.5% and 38.1% of patients, respectively. There was a statistically significant difference between gender and circumstances of discovery of T2D like cardinal syndrome and fortuitously discovery (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_3"><title>3.3. Cardiovascular Risk Factors at Diagnosis of Type 2 Diabetes</title><p>The cardiovascular risk factors (CVR factors) most frequently found at the time of diagnosis of type 2 diabetes were dyslipidemia, sedentary lifestyle and family history of type 2 diabetes with 63.6%, 57.7% and 51.6%, respectively. New hypertension was found concomitantly with type 2 diabetes in 15.7% of patients, and obesity in 32.9%. Among patients with dyslipidemia, 75.3% of cases of elevated LDL were noted. There was a statistically significant difference between gender and cardiovascular risk factors such as obesity, overweight, tobacco and family history of T2D (<xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Characteristics of the study population</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Total N = 286</th><th align="center" valign="middle" >Female n = 138 (48.3%)</th><th align="center" valign="middle" >Male n = 148 (51.7%)</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Mean Age (SD), years</td><td align="center" valign="middle" >52.6 (12.3)</td><td align="center" valign="middle" >53.8 &#177; 12.5</td><td align="center" valign="middle" >51.5 &#177; 12.1</td><td align="center" valign="middle" >0.12</td></tr><tr><td align="center" valign="middle" >Profession, n (%)</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" >Without</td><td align="center" valign="middle" >90 (31.5)</td><td align="center" valign="middle" >69 (76.7)</td><td align="center" valign="middle" >21 (23.3)</td><td align="center" valign="middle" >&lt;0.01</td></tr><tr><td align="center" valign="middle" >Retired</td><td align="center" valign="middle" >33 (11.5)</td><td align="center" valign="middle" >11(33.3)</td><td align="center" valign="middle" >22(66.7)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Public sector</td><td align="center" valign="middle" >53 (18.5)</td><td align="center" valign="middle" >20 (37.7)</td><td align="center" valign="middle" >33 (62.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Private sector</td><td align="center" valign="middle" >110 (38.5)</td><td align="center" valign="middle" >38 (34.5)</td><td align="center" valign="middle" >72 (65.4)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Clinical data, Median (Q1-Q3)</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" >BMI, Kg/m<sup>2</sup></td><td align="center" valign="middle" >28.5 (25.6 - 32.7)</td><td align="center" valign="middle" >30.3 (26.4 - 33.6)</td><td align="center" valign="middle" >27.8 (24.9 - 30.8)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Abdominal circumference, cm</td><td align="center" valign="middle" >94.5 (90 - 102)</td><td align="center" valign="middle" >96 (90 - 103)</td><td align="center" valign="middle" >93.5 (90 - 100.5)</td><td align="center" valign="middle" >0.17</td></tr><tr><td align="center" valign="middle" >Systolic blood pressure, mmHg</td><td align="center" valign="middle" >132 (119 - 145)</td><td align="center" valign="middle" >133 (120 - 147)</td><td align="center" valign="middle" >129 (118.5 - 139.5)</td><td align="center" valign="middle" >0.45</td></tr><tr><td align="center" valign="middle" >Diastolic blood pressure, mmHg</td><td align="center" valign="middle" >84 (74 - 91)</td><td align="center" valign="middle" >79 (70 - 91)</td><td align="center" valign="middle" >84.5 (75 - 93)</td><td align="center" valign="middle" >0.22</td></tr><tr><td align="center" valign="middle" >Biological data, Median (Q1-Q3)</td><td align="center" valign="middle"  colspan="4"  ></td></tr><tr><td align="center" valign="middle" >Glucose values (g/l)</td><td align="center" valign="middle" >3 (2.06 - 3.92)</td><td align="center" valign="middle" >2.82 (2.01 - 3.53)</td><td align="center" valign="middle" >3 (2.08 - 4)</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >HbA1c values (%)</td><td align="center" valign="middle" >10 (8.3 - 12.2)</td><td align="center" valign="middle" >9.9 (8 - 12.3)</td><td align="center" valign="middle" >10.2 (8.5 - 12)</td><td align="center" valign="middle" >0.54</td></tr><tr><td align="center" valign="middle" >Total cholesterol (g/l)</td><td align="center" valign="middle" >1.89 (1.3 - 2.2)</td><td align="center" valign="middle" >1.92 (1.34 - 2.25)</td><td align="center" valign="middle" >1.76 (1.3 - 2.1)</td><td align="center" valign="middle" >0.40</td></tr><tr><td align="center" valign="middle" >HDL cholesterol (g/l)</td><td align="center" valign="middle" >0.37 (0.26 - 0.51)</td><td align="center" valign="middle" >0.45 (0.27 - 0.6)</td><td align="center" valign="middle" >0.32 (0.26 - 0.41)</td><td align="center" valign="middle" >0.05</td></tr><tr><td align="center" valign="middle" >LDL cholesterol (g/l)</td><td align="center" valign="middle" >1.09 (0.76 - 1.51)</td><td align="center" valign="middle" >1.2 (0.85 - 1.52)</td><td align="center" valign="middle" >0.86 (0.60 - 1.37)</td><td align="center" valign="middle" >0.24</td></tr><tr><td align="center" valign="middle" >Triglycerides (g/l)</td><td align="center" valign="middle" >1.4 (0.88 - 2.2)</td><td align="center" valign="middle" >1.32 (0.88 - 1.81)</td><td align="center" valign="middle" >1.72 (0.85 - 2.44)</td><td align="center" valign="middle" >0.51</td></tr></tbody></table></table-wrap><p>SD: standard deviation, BMI: Body Mass Index, HbA1c: Glycated hemoglobin.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Circumstances of discovery of type 2 diabetes</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Circumstances of discovery</th><th align="center" valign="middle" >Total N (%)</th><th align="center" valign="middle" >Female n (%)</th><th align="center" valign="middle" >Male n (%)</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Macrovascular complication</td><td align="center" valign="middle" >50 (17.5)</td><td align="center" valign="middle" >27 (9.4)</td><td align="center" valign="middle" >23 (8.1)</td><td align="center" valign="middle" >0.679</td></tr><tr><td align="center" valign="middle" >Infection</td><td align="center" valign="middle" >23 (8)</td><td align="center" valign="middle" >9 (3.1)</td><td align="center" valign="middle" >14 (4.9)</td><td align="center" valign="middle" >0.303</td></tr><tr><td align="center" valign="middle" >Cardinal syndrome</td><td align="center" valign="middle" >154 (53.8)</td><td align="center" valign="middle" >64 (22.4)</td><td align="center" valign="middle" >90 (31.4)</td><td align="center" valign="middle" >0.014</td></tr><tr><td align="center" valign="middle" >Fortuitously</td><td align="center" valign="middle" >109 (38.1)</td><td align="center" valign="middle" >63 (22)</td><td align="center" valign="middle" >46 (16.1)</td><td align="center" valign="middle" >0.011</td></tr></tbody></table></table-wrap></sec><sec id="s3_4"><title>3.4. Prevalence of Macrovascular Complications</title><p>The prevalence of macrovascular complications in our study was 17.5%, with 8.4% of strokes, 5.6% of myocardial infarction and 3.4% of arterial foot ulcer. In this study, all strokes were ischemic strokes. There was no statistically significant difference in the distribution of macrovascular complications by gender (<xref ref-type="table" rid="table4">Table 4</xref>).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Cardiovascular risk factors at diagnosis of type 2 diabetes</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >CVR Factors</th><th align="center" valign="middle" >Total N (%)</th><th align="center" valign="middle" >Female n (%)</th><th align="center" valign="middle" >Male n (%)</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >New hypertension</td><td align="center" valign="middle" >45 (15.7)</td><td align="center" valign="middle" >22 (7.7)</td><td align="center" valign="middle" >23 (8)</td><td align="center" valign="middle" >0.37</td></tr><tr><td align="center" valign="middle" >Pre-existing hypertension</td><td align="center" valign="middle" >90 (31.5)</td><td align="center" valign="middle" >49 (17.1)</td><td align="center" valign="middle" >41 (14.4)</td><td align="center" valign="middle" >0.08</td></tr><tr><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >51 (17.8)</td><td align="center" valign="middle" >19 (6.6)</td><td align="center" valign="middle" >32 (11.2)</td><td align="center" valign="middle" >0.04</td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >94 (32.9)</td><td align="center" valign="middle" >59 (20.6)</td><td align="center" valign="middle" >35 (12.3)</td><td align="center" valign="middle" >0.0003</td></tr><tr><td align="center" valign="middle" >Family history of type 2 diabetes</td><td align="center" valign="middle" >148 (51.7)</td><td align="center" valign="middle" >62 (21.7)</td><td align="center" valign="middle" >86 (30)</td><td align="center" valign="middle" >0.02</td></tr><tr><td align="center" valign="middle" >Sedentary lifestyle</td><td align="center" valign="middle" >165 (57.7)</td><td align="center" valign="middle" >86 (30.1)</td><td align="center" valign="middle" >79 (27.6)</td><td align="center" valign="middle" >0.05</td></tr><tr><td align="center" valign="middle" >Tobacco</td><td align="center" valign="middle" >20 (7)</td><td align="center" valign="middle" >3 (1)</td><td align="center" valign="middle" >17 (6)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Dyslipidemia</td><td align="center" valign="middle" >182 (63.6)</td><td align="center" valign="middle" >89 (31.1)</td><td align="center" valign="middle" >93 (32.5)</td><td align="center" valign="middle" >0.38</td></tr><tr><td align="center" valign="middle" >HDL &lt; 0.5 (Women)</td><td align="center" valign="middle" >2(1.1)</td><td align="center" valign="middle" >2 (1.1)</td><td align="center" valign="middle" >/</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >HDL &lt; 0.4 (men)</td><td align="center" valign="middle" >2 (1.1)</td><td align="center" valign="middle" >/</td><td align="center" valign="middle" >2 (1.1)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >LDL &gt; 1</td><td align="center" valign="middle" >137 (75.3)</td><td align="center" valign="middle" >72 (39.6)</td><td align="center" valign="middle" >65 (35.7)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >TG &gt; 1.5</td><td align="center" valign="middle" >28 (15.4)</td><td align="center" valign="middle" >13 (7.1)</td><td align="center" valign="middle" >15 (8.2)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>CVR: cardiovascular risk, HDL: High density lipoprotein, LDL: Low density lipoprotein, TG: triglycerides.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Prevalence of macrovascular complications</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Total N (%)</th><th align="center" valign="middle" >Female</th><th align="center" valign="middle" >Male</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Macrovascular Complications</td><td align="center" valign="middle" >50 (17.5)</td><td align="center" valign="middle" >26 (9.1)</td><td align="center" valign="middle" >24 (8.4)</td><td align="center" valign="middle" >0.679</td></tr><tr><td align="center" valign="middle" >Stroke</td><td align="center" valign="middle" >24 (8.4)</td><td align="center" valign="middle" >13 (4.5)</td><td align="center" valign="middle" >11 (3.9)</td><td align="center" valign="middle" >0.17</td></tr><tr><td align="center" valign="middle" >Myocardial infarction</td><td align="center" valign="middle" >16(5.6)</td><td align="center" valign="middle" >9 (3.1)</td><td align="center" valign="middle" >7 (2.5)</td><td align="center" valign="middle" >0.17</td></tr><tr><td align="center" valign="middle" >Arterial foot ulcer</td><td align="center" valign="middle" >10 (3.4)</td><td align="center" valign="middle" >5 (1.7)</td><td align="center" valign="middle" >5 (1.7)</td><td align="center" valign="middle" >0.25</td></tr></tbody></table></table-wrap></sec><sec id="s3_5"><title>3.5. Distribution of Macrovascular Complications by Age Group</title><p>Stroke was more common in patients over 60 years old, while arterial foot ulcer predominated in patients 40 to 50 years old. Two complications, myocardial infarction and stroke were more common in patients aged 50 to 60 years old (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p></sec><sec id="s3_6"><title>3.6. Correlates of Macrovascular Complications</title><p>Using the Chi square test, we noted a statistically significant association between hypertension and the three macrovascular complications (p &lt; 0.05). Furthermore, age greater than 50 years old was associated with stroke (p = 0.003) and myocardial infarction (p = 0.003) while smoking was associated only with myocardial infarction (p = 0.02) (<xref ref-type="table" rid="table5">Table 5</xref>).</p><p>After logistic regression, correlates of macrovascular complications (p &lt; 0.05) were smoking (MI: OR 0.11 [CI 95%: 0.01 - 0.91)]), age ≥ 50 years old (Stroke:</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Correlates of macrovascular complications using Chi square test</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Stroke Yes vs No</th><th align="center" valign="middle" >Myocardial Infarction Yes vs No</th><th align="center" valign="middle" >Arterial foot Ulcer Yes vs No</th></tr></thead><tr><td align="center" valign="middle" >Age ≥ 50 years Yes/No</td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" >0.54</td></tr><tr><td align="center" valign="middle" >Gender Female vs Male</td><td align="center" valign="middle" >0.17</td><td align="center" valign="middle" >0.17</td><td align="center" valign="middle" >0.25</td></tr><tr><td align="center" valign="middle" >BMI ≥ 30 kg/m<sup>2</sup> Yes vs No</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >0.08</td></tr><tr><td align="center" valign="middle" >Blood sugar ≥ 2.5 g/l Yes vs No</td><td align="center" valign="middle" >0.32</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >0.63</td></tr><tr><td align="center" valign="middle" >Tobacco Yes vs No</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.34</td></tr><tr><td align="center" valign="middle" >Sedentary lifestyle Yes vs No</td><td align="center" valign="middle" >0.14</td><td align="center" valign="middle" >0.23</td><td align="center" valign="middle" >0.38</td></tr><tr><td align="center" valign="middle" >Dyslipidemia Yes vs No</td><td align="center" valign="middle" >0.18</td><td align="center" valign="middle" >0.18</td><td align="center" valign="middle" >0.3</td></tr><tr><td align="center" valign="middle" >Hypertension Yes vs No</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.009</td><td align="center" valign="middle" >0.007</td></tr></tbody></table></table-wrap><p>BMI: Body Mass Index.</p><p>OR 1.07 [CI 95%: 1.02 - 1.12]) and high glycated hemoglobin (Stroke: OR 1.40 [CI 95%:1.12 - 1.74]). Moreover, obesity was associated with arterial foot ulcer (p = 0.03). There was a non-significant association between gender, dyslipidemia, blood glucose and different complications (<xref ref-type="table" rid="table6">Table 6</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Our study investigated the prevalence and correlates of macrovascular complications at type 2 diabetes diagnosis in an adult population. We included 286</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Correlates of macrovascular complications using logistic regression</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Stroke</th><th align="center" valign="middle"  colspan="2"  >Myocardial infarction</th><th align="center" valign="middle"  colspan="2"  >Arterial foot ulcer</th></tr></thead><tr><td align="center" valign="middle" >OR (IC 95%)</td><td align="center" valign="middle" >p</td><td align="center" valign="middle" >OR (IC 95%)</td><td align="center" valign="middle" >p</td><td align="center" valign="middle" >OR (IC 95%)</td><td align="center" valign="middle" >p</td></tr><tr><td align="center" valign="middle" >Gender Male vs Female</td><td align="center" valign="middle" >1.79 (0.59 - 5.49)</td><td align="center" valign="middle" >0.29</td><td align="center" valign="middle" >1.25 (0.20 - 7.70)</td><td align="center" valign="middle" >0.80</td><td align="center" valign="middle" >1.32 (0.20 - 8.40)</td><td align="center" valign="middle" >0.76</td></tr><tr><td align="center" valign="middle" >Age &lt; 50 vs ≥50 years</td><td align="center" valign="middle" >1.07 (1.02 - 1.12)</td><td align="center" valign="middle" >0.005</td><td align="center" valign="middle" >1.03 (0.96 - 1.10)</td><td align="center" valign="middle" >0.33</td><td align="center" valign="middle" >1.06(0.97 - 1.16)</td><td align="center" valign="middle" >0.16</td></tr><tr><td align="center" valign="middle" >Tobacco Yes vs No</td><td align="center" valign="middle" >0.40 (0.07 - 2.22)</td><td align="center" valign="middle" >0.29</td><td align="center" valign="middle" >0.11 (0.01 - 0.91)</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0.99</td></tr><tr><td align="center" valign="middle" >Dyslipidemia Yes vs No</td><td align="center" valign="middle" >0.81 (0.23 - 2.76)</td><td align="center" valign="middle" >0.74</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >1.66 (0.16 - 16.48)</td><td align="center" valign="middle" >0.66</td></tr><tr><td align="center" valign="middle" >Hypertension Yes vs No</td><td align="center" valign="middle" >0.59 (0.16 - 2.15)</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >2.35 (0.22 - 24.36)</td><td align="center" valign="middle" >0.47</td><td align="center" valign="middle" >0.53 (0.03 - 9.35)</td><td align="center" valign="middle" >0.67</td></tr><tr><td align="center" valign="middle" >Sedentary lifestyle Yes vs No</td><td align="center" valign="middle" >1.34 (0.43 - 4.14)</td><td align="center" valign="middle" >0.60</td><td align="center" valign="middle" >2.67 (0.43 - 16.55)</td><td align="center" valign="middle" >0.29</td><td align="center" valign="middle" >0.67 (0.09 - 4.97)</td><td align="center" valign="middle" >0.69</td></tr><tr><td align="center" valign="middle" >BMI &lt; 30 vs ≥30 kg/m<sup>2</sup></td><td align="center" valign="middle" >0.96 (0.86 - 1.07)</td><td align="center" valign="middle" >0.50</td><td align="center" valign="middle" >1.03(0.90 - 1.19)</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >0.85(0.73 - 0.99)</td><td align="center" valign="middle" >0.03</td></tr><tr><td align="center" valign="middle" >Blood glucose &lt; 2.5 vs ≥2.5 g/l</td><td align="center" valign="middle" >0.71(0.43 - 1.89)</td><td align="center" valign="middle" >0.198</td><td align="center" valign="middle" >0.86(0.41 - 1.83)</td><td align="center" valign="middle" >0.70</td><td align="center" valign="middle" >1.01(0.55 - 1.85)</td><td align="center" valign="middle" >0.96</td></tr><tr><td align="center" valign="middle" >HbA1c &lt; 7% vs ≥7%</td><td align="center" valign="middle" >1.40 (1.12 - 1.74)</td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" >0.96 (0.64 - 1.43)</td><td align="center" valign="middle" >0.84</td><td align="center" valign="middle" >0.79 (0.56 - 1.13)</td><td align="center" valign="middle" >0.21</td></tr></tbody></table></table-wrap><p>BMI: Body Mass Index, HbA1c: Glycated hemoglobin, OR: Odd ratio. Logistic regression was adjusted with the sex variable.</p><p>patients seen in the internal medicine department (inpatient and outpatient) of Essos Hospital Center in Yaound&#233;. Our main findings were a prevalence of 17.5%, with 8.4% of stroke, 5.6% of myocardial infarction, and 3.4% of arterial foot ulcer. Correlates were hypertension, smoking, age ≥ 50 years old, glycated hemoglobin and obesity.</p><p>Our study population was predominantly male, with a mean age of 52 &#177; 12.3 years, which is in line with reports from the literature [<xref ref-type="bibr" rid="scirp.128947-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.128947-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.128947-ref20">20</xref>] . This was a relatively young population in full professional activity. Diabetes was discovered in 38.1% of patients fortuitously (systematic company-required health and wellness programs, routine check-up), which means that prevention policies need to be stepped up by raising awareness among the population in our context, who do not think about screening for chronic pathologies. In addition, type 2 diabetes was discovered concomitantly with a macrovascular complication in 17.5% of patients. This represents a heavy psychological and socio-economic burden for patients and their families, increasing the cost of managing the disease and reducing the validity of patients, which can lead to job loss in our context. A sedentary lifestyle was found in 57.7% of our patients, probably due to their professional status. Our patients were mostly employed in the private sector (38.5%), which may lead to restrictive working hours limiting the effectiveness of regular physical activity. This finding suggests that physical activity should be promoted in the workplace. Over and above the recognized metabolic effects of physical activity, when practiced in the workplace it improves professional performance and social relations [<xref ref-type="bibr" rid="scirp.128947-ref21">21</xref>] . Unrecognized hypertension was found in 15.7% of patients, and 31.5% had hypertension prior to the diagnosis of diabetes. Sosale et al. in India found a 23% prevalence of patients with hypertension in their study population [<xref ref-type="bibr" rid="scirp.128947-ref12">12</xref>] . The coexistence of diabetes and hypertension is associated with a six-fold increased risk of cardiovascular events compared with healthy individuals, and an increased risk of cardiovascular events and death from all causes [<xref ref-type="bibr" rid="scirp.128947-ref22">22</xref>] . The prevalence of macrovascular complications in our study was 17.5%. In the literature, the prevalence of macrovascular complications varies from study to study. Uddin et al. in Pakistan and Bonora et al. in Italy found 9%, while Morkos et al. in the USA, Gedebjerg et al. in Denmark, and Taneja et al. in India found 13%, 17% and 19.05%, respectively. These differing results may be attributed to sample sizes and patient recruitment methods in the different studies. Macrovascular complications were dominated in our study by stroke and MI. This has a negative impact in developing countries, especially as cardiovascular disease is the leading cause of disability and mortality among people living with diabetes worldwide [<xref ref-type="bibr" rid="scirp.128947-ref23">23</xref>] .</p><p>Studies show a 4.4-fold higher mortality rate among diabetics compared with non-diabetics, and reduced life expectancy after myocardial infarction [<xref ref-type="bibr" rid="scirp.128947-ref24">24</xref>] . The long pre-diabetic period and the presence of risk factors could explain the high prevalence of cardiovascular complications as soon as type 2 diabetes is diagnosed. The precarious socio-economic context, late diagnosis of diabetic disease, and ignorance of the population increase the risk of complications at the time of diagnosis of type 2 diabetes. Early detection, awareness of cardiovascular risk factors and optimal initial management of patients could reduce the risk of these complications. The correlates of macrovascular complications were hypertension, age ≥ 50 years old smoking, high glycated hemoglobin and obesity. These are the same factors found in the literature [<xref ref-type="bibr" rid="scirp.128947-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.128947-ref26">26</xref>] . Our study highlighted the heavy burden of type 2 diabetes associated with a complication in our context, and the importance of early diagnosis and control of cardiovascular risk factors.</p></sec><sec id="s5"><title>5. Limitations of Our Study</title><p>This was a monocentric study, with recruitment methods particularly limited for the diagnosis of myocardial infarction. We didn’t have access to specific screening techniques such as myocardial scintigraphy or the systematic performance of stress tests on all patients, which would have had an impact on our sample.</p></sec><sec id="s6"><title>6. Conclusion</title><p>Macrovascular complications are frequent at type 2 diabetes diagnosis and are represented by stroke and myocardial infarction in our study. This exacerbates the long-term psychological and socio-economic impact of type 2 diabetes, underscoring the need to intensify prevention policies. A multicenter study could be conducted to generalize our results.</p></sec><sec id="s7"><title>Highlights</title><p>&#183; Macrovascular complications are frequent in our context at the time of diagnosis of type 2 diabetes</p><p>&#183; Stroke and myocardial infarction are the main macrovascular complications at diagnosis of type 2 diabetes.</p><p>&#183; Type 2 diabetes remains an incidental finding in the general population</p><p>&#183; Correlates of macrovascular complications are hypertension, age ≥ 50 years old, smoking, high glycated hemoglobin and obesity.</p><p>&#183; Need to increase awareness and screening policies for type 2 diabetes and cardiovascular risk factors.</p></sec><sec id="s8"><title>Acknowledgements</title><p>We would like to thank all participants and their families who agreed to take part in this study.</p></sec><sec id="s9"><title>Authors’ Contributions</title><p>Francine Mendane Ekobena, Martine Claude Etoa Etoga and Mesmin Dehayem drafted the study protocol and manuscript. Carole Laurence Ngo Yon supervised the cardiological analyses, Pauline Ngo Bal&#244;g&#244;g conducted the biological analyses. Guy Dieudonn&#233; Mvogo conducted the statistical analyses. Andr&#233; Pascal Kengne, Eugene Sobngwi and Jean Claude Mbanya supervised the study. All authors read and approved the manuscript.</p></sec><sec id="s10"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s11"><title>Cite this paper</title><p>Ekobena, F.M., Etoga, M.C.E., Dehayem, M., Yon, C.L.N., Bal&#244;g&#244;g, P.N., Mvogo, G.D., Kengne, A.P., Sobngwi, E. and Mbanya, J.C. (2023) Prevalence and Correlates of Macrovascular Complications at Type 2 Diabetes Diagnosis in a Tertiary Hospital in Yaound&#233;, Cameroon. Journal of Diabetes Mellitus, 13, 269-283. https://doi.org/10.4236/jdm.2023.134021</p></sec><sec id="s12"><title>Questionnaire</title>I. Identification<p>Number: |___| Age: |___| Sex: Male |___| Female |___| Date: ……/…../20…</p><p>Marital status: Married |___| Single |___| Widower |__| Cohabiting couple |__|</p><p>Profession: Without|___| Public sector |___| Private sector |__| Student |__| Retired |__|</p><p>School level: None |___| Primary |___| Secondary |___| University |___|</p>II. History of Type 2 Diabetes<p>Circumstances of discovery: fortuitously|___| Cardinal syndrome |___| Infection|___| Complications|___|</p><p>If complication (To specify): Ischemic stroke |___| Hemorrhagic stroke |___| myocardial infarction|___| Arterial Foot Ulcer |___|</p><p>Others Circumstances of discovery………………………………………………….……….……….……….</p>III. Cardiovascular Risk Factors at Time of Diagnosis of Type 2 Diabetes<p>Newly High Blood pressure |___| Previous High Blood pressure |___|</p><p>Overweight |___| Obesity|___|</p><p>Family history of type 2 diabetes |___| Sedentary Lifestyle |___|</p><p>Tobacco |___| Hyperuricemia |___|</p><p>Dyslipidemia |___| If dyslipidemia (To specify): Hypo HDL|___| Hyper TG |___| Hyper LDL|___|</p>IV. Clinical Parameters at Time of Diagnosis of Type 2 Diabetes<p>Glycaemia: |____| g/l Height |____| cm</p><p>Weight |____| kg Body mass index |____| kg/m<sup>2</sup></p><p>abdominal circumference |____| cm Oxygen saturation |____|%</p><p>Blood pressure |____|mmHg Control blood pressure |____| mmHg after 15 minutes of rest</p><p>Cardiac frequency|____| Systolic pressure index |____|</p><p>Urine strips: glycosuria|___| Cetonuria |___| Leucocyturia |___| Nitrites|___| Albuminuria |___|</p>V. Biological Parameters at Time of Diagnosis of Type 2 Diabetes<p>HA1c |____|%, Urea |___| g/l, Creatinemia |___| g/l,</p><p>SGPT |___| IU/l SGOT |___| IU/l</p><p>Uric acid |___| mg/l, Total Cholesterol |___| g/l, HDL cholesterol |___| g/l,</p><p>LDL cholesterol |___| g/l Triglyceridemia |___| g/l,</p><p>Troponin us |___| ng/l, CPKmb |___| IU/l</p>VI. Morphological Assessment<p>Brain scan: yes |___| No |___|, if yes, results…………………</p><p>Arterial Doppler Ultrasound of lower limbs: yes |___| No |___|, if yes, results…………………</p><p>Angio scan of lower limbs: yes |___| No |___|, if yes, results…………………</p><p>Electrocardiogram yes |___| No |___|, if yes, results…………………</p><p>Echocardiography: yes |___| No |___|, if yes, results…………………</p>VII. 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