<?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">WJCD</journal-id><journal-title-group><journal-title>World Journal of Cardiovascular Diseases</journal-title></journal-title-group><issn pub-type="epub">2164-5329</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/wjcd.2021.1112056</article-id><article-id pub-id-type="publisher-id">WJCD-114016</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>
 
 
  Metabolic Syndrome: Epidemiological, Clinical and Biological Profiles in the Cardiology and Internal Medicine Departments of the Mother-Child CHU “Luxembourg”
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Asmaou</surname><given-names>Keita</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>Boubacar</surname><given-names>Sonfo</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sanoussi</surname><given-names>Daffé</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>Daouda</surname><given-names>Fofana</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>Coumba</surname><given-names>Thiam</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>Oumar</surname><given-names>Doucouré</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>Souleymane</surname><given-names>Diallo</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>Mariam</surname><given-names>Sako</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>Massama</surname><given-names>Konaté</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>Hamidou</surname><given-names>Omar Bâ</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>Mamadou</surname><given-names>Bocary Diarra</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>Youssouf</surname><given-names>Camara</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>Ibrahima</surname><given-names>Sangaré</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>Souleymane</surname><given-names>Coulibaly</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>Ichaka</surname><given-names>Menta</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Cardiology Department of CHU Mère-Enfant, Bamako, Mali</addr-line></aff><aff id="aff2"><addr-line>Cardiology Department of CHU Kati, Bamako, Mali</addr-line></aff><aff id="aff5"><addr-line>Cardiology Department of CHU Gabriel Touré, Bamako, Mali</addr-line></aff><aff id="aff3"><addr-line>Cardiology Department of CHU Point G, Bamako, Mali</addr-line></aff><aff id="aff4"><addr-line>Internal Medicine Department, Mali Hospital, Bamako, Mali</addr-line></aff><pub-date pub-type="epub"><day>08</day><month>12</month><year>2021</year></pub-date><volume>11</volume><issue>12</issue><fpage>593</fpage><lpage>602</lpage><history><date date-type="received"><day>5,</day>	<month>November</month>	<year>2021</year></date><date date-type="rev-recd"><day>18,</day>	<month>December</month>	<year>2021</year>	</date><date date-type="accepted"><day>21,</day>	<month>December</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction:
   The metabolic syndrome is a clinical entity defined by the association in the same subject of four of the following five factors: abdominal obesity (or android), type 2 diabetes, hypertension, hypo HDL cholesterolemia, hypertriglyceridemia. The aim of the work was to study the epidemiological, clinical-biological profiles and complications of patients in the cardiology and internal medicine department of the Mother-Child CHU “Luxembourg”. <b>Materials and Methods:</b> We carried out a cross-sectional study, from September 2019 to June 2020 in the cardiology and internal department of the mother-child CHU “Luxembourg”. All patients with metabolic syndrome admitted to the two departments who agreed to participate during the study period were included in the study. These patients meet the 2009 harmonization attempt criteria (IDF 2009). The variables studied were: socio-demographic characteristics (sex, age, profession), pathological history, clinical signs (functional signs, BMI, waist size), paraclinical signs (ECG, cardiac ultrasound, laboratory assessment) and complications. <b>Results:</b> A total of 104 patients were included. The female sex represented 58.65% of cases. The 60 to 69 age group was the majority with 40.78%, housewives occupied 41.34% of cases. Diabetes, arterial hypertension and dyslipidemia were the most represented cardiovascular risk factors with respectively: 80.77%, 79.81% and 53.85%. Visual blurring was the most common functional sign with 23.08% of cases. Moderate obesity was observed in 34% of patients. Waist circumference was high in 39.53% of male patients and 37.70% of female patients. Cardiac ultrasound found a severely collapsed ejection fraction in 25% of patients. HDL-c levels were low in 64.52% of male patients and 75% of female patients. The most observed complications were: dyslipidemia (53.85%), stroke and renal failure with 23% respectively
  . 
  <b>Conclusion:</b> The metabolic syndrome remains a real public health problem, constantly increasing in our populations and constitutes a danger by its constituent ele
  ments.
 
</p></abstract><kwd-group><kwd>Metabolic Syndrome</kwd><kwd> Epidemiological Profiles</kwd><kwd> Clinical-Biological</kwd><kwd> CHUME</kwd><kwd> Luxembourg</kwd><kwd> Bamako</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Metabolic syndrome is a clinical entity defined by the association in the same subject of four of the following five factors: abdominal obesity (or android), type 2 diabetes, hypertension, hypo HDL cholesterolemia, hypertriglyceridemia. Heredity, a sedentary lifestyle and eating habits play a very important role in its development [<xref ref-type="bibr" rid="scirp.114016-ref1">1</xref>]. Metabolic syndrome significantly increases the risk of cardiovascular disease [<xref ref-type="bibr" rid="scirp.114016-ref2">2</xref>]. Since its initial description by REAVEN in 1988 under the term “syndrome X”, the metabolic syndrome has continued to evolve and several definitions are currently proposed [<xref ref-type="bibr" rid="scirp.114016-ref2">2</xref>]. It is characterized by hyperinsulinism resulting from insulin resistance and a group of factors including hypertriglyceridemia, hypo HDL cholesterolemia, glucose intolerance, high blood pressure and android obesity [<xref ref-type="bibr" rid="scirp.114016-ref1">1</xref>]. The prevalence of metabolic syndrome is increasing rapidly in both developed and emerging countries as well as in developing countries. North American data from the latest NHANES III registry suggests that 20% - 30% of adults living in the United States are affected by this syndrome [<xref ref-type="bibr" rid="scirp.114016-ref2">2</xref>]. The DESIR study [<xref ref-type="bibr" rid="scirp.114016-ref3">3</xref>] found an incidence of 16% in men and 11% in women and the MONICA study rates of 23.5% and 17.9%, respectively, in France [<xref ref-type="bibr" rid="scirp.114016-ref4">4</xref>]. In 2015, KABA found in the internal medicine department of Conakry University Hospital a prevalence of 23%, of which men represented 63% [<xref ref-type="bibr" rid="scirp.114016-ref5">5</xref>] while MEHREZ observed 6.57% with a female predominance in a Senegalese population in 2017 [<xref ref-type="bibr" rid="scirp.114016-ref6">6</xref>]. In Mali, in 2008 TRAORE observed a prevalence of 12.5% with a clear female predominance of 76% in the internal medicine department of CHU POINT G [<xref ref-type="bibr" rid="scirp.114016-ref7">7</xref>]. BERTHE observed 68% in the diabetic population of Bamako [<xref ref-type="bibr" rid="scirp.114016-ref8">8</xref>] in 2009. COULIBALY found 58% in a study carried out in 2015 [<xref ref-type="bibr" rid="scirp.114016-ref9">9</xref>]. The metabolic syndrome is a real public health problem because of its complications (cardiovascular and type 2 diabetes), the absence of data at the level of the Mother-Child University Hospital “Luxembourg” motivated us to carry out this work with the aim of studying the epidemiological, clinical-biological profiles and the related complications in the cardiology and medicine department at the Mother-Child University Hospital “Luxembourg” in Bamako.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>This is a cross-sectional study, which took place from September 2019 to June 2020 in the cardiology and internal medicine department of the mother-child CHU “Luxembourg”. Inclusion criteria: Were included in this study all patients with metabolic syndrome in the two departments who came in consultation or hospitalized who agreed to participate during the study period and who meet the criteria of the attempt to harmonize 2009 (IDF 2009). Patients with metabolic syndrome who did not meet the criteria of the 2009 harmonization attempt (IDF 2009) were not included in the study, as patients with metabolic syndrome did not agree to participate for a period of the study period. The data was collected from patient medical records collected on survey forms created using Epi info 7 software version 7.2.2.6. Informed consent was obtained with strict respect for confidentiality. The variables studied were (mixed): socio-demographic characteristics (sex, age, profession), pathological history, clinical signs (functional signs, BMI, waist size), para clinical (ECG, cardiac ultrasound, laboratory assessment) and complications. Epi info 7 version 7.2.2.6, Excel and Word software were used for data collection and analysis, the results presented in tabular and graphical form.</p><p>Definitions of terms:</p><p>HbA1C: Glycated hemoglobin</p><p>LDL cholesterol: Low density lipoprotein</p><p>HDL cholesterol: High density lipoprotein</p><p>Criteria of the 2009 harmonization attempt (IDF 2009):</p><p>The new definition of harmonization of the SM or IDF 2009 is based on the association in the same individual of at least 3 of the criteria mentioned in <xref ref-type="table" rid="table1">Table 1</xref> below.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Attempt to harmonize criteria for metabolic syndrome [22:24]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >3 Necessary criteria</th></tr></thead><tr><td align="center" valign="middle" >Waist size</td><td align="center" valign="middle" >Increase defined by ethnicity</td></tr><tr><td align="center" valign="middle" >Triglycerides</td><td align="center" valign="middle" >&gt;1.50 g/l or specific treatment for this lipid disorder</td></tr><tr><td align="center" valign="middle" >Arterial Pressure</td><td align="center" valign="middle" >≥130/85 mmHg, or high blood pressure treated</td></tr><tr><td align="center" valign="middle" >High density lipoprotein cholesterol</td><td align="center" valign="middle" >&lt;0.40 g/l (men); &lt;0.50 g/I (women)</td></tr><tr><td align="center" valign="middle" >Fasting blood sugar</td><td align="center" valign="middle" >≥1.10 g/l</td></tr></tbody></table></table-wrap><p>Ethical Considerations:</p><p>All patients give their verbal consent, being informed about the procedures in the study, their harmless character and even anonymous treatment of their data.</p></sec><sec id="s3"><title>3. Results</title><p>During this study, we identified 104 patients according to the 2009 harmonization attempt. The female sex occupied 58.65% of cases and the male sex 41.35% with a sex ratio = 0.70.</p><p>The 60 - 69 age group accounted for 40.78%. The average age was 63.00 &#177; 11.44 years, with extremes ranging from 30 to 98 years.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution according to profession</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Profession</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Trader</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >10.58</td></tr><tr><td align="center" valign="middle" >Consultant</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.90</td></tr><tr><td align="center" valign="middle" >Farmer</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.85</td></tr><tr><td align="center" valign="middle" >Commercial employee</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.92</td></tr><tr><td align="center" valign="middle" >Hygienist</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.92</td></tr><tr><td align="center" valign="middle" >Housewives</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >41.34</td></tr><tr><td align="center" valign="middle" >Professor</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.96</td></tr><tr><td align="center" valign="middle" >Retired</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >15.38</td></tr><tr><td align="center" valign="middle" >Sales woman</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.92</td></tr><tr><td align="center" valign="middle" >Others</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >19.23</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>Source: Medical file.</p><p>Housewives accounted for 41.34% of cases.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution according to personal history</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Personal History</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >80.77</td></tr><tr><td align="center" valign="middle" >HTA</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >79.81</td></tr><tr><td align="center" valign="middle" >Dyslipidemia</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >53.85</td></tr><tr><td align="center" valign="middle" >Stroke</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >13.46</td></tr><tr><td align="center" valign="middle" >Myocardial Infarction</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.85</td></tr><tr><td align="center" valign="middle" >Obliterating arteriopathy of the lower limbs</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >7.69</td></tr><tr><td align="center" valign="middle" >Drop</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >4.81</td></tr><tr><td align="center" valign="middle" >Smoking</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >15.38</td></tr><tr><td align="center" valign="middle" >Alcoholic</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >4.81</td></tr></tbody></table></table-wrap><p>Source: Medical file.</p><p>Diabetes, arterial hypertension and dyslipidemia were the most represented risk factors with respectively: 80.77%, 79.81% and 53.85%.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Distribution according to functional signs</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Clinical signs</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Visual blur</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >23.08</td></tr><tr><td align="center" valign="middle" >Dyspnea on exertion</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >22.12</td></tr><tr><td align="center" valign="middle" >Leg pain</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >18.27</td></tr><tr><td align="center" valign="middle" >Headache</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >17.31</td></tr><tr><td align="center" valign="middle" >Chest pain</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >16.35</td></tr><tr><td align="center" valign="middle" >Palpitations</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >11.54</td></tr><tr><td align="center" valign="middle" >Dizziness</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.62</td></tr><tr><td align="center" valign="middle" >Dyspnea at rest</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >6.73</td></tr><tr><td align="center" valign="middle" >Ringing in the ears</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >6.73</td></tr><tr><td align="center" valign="middle" >Sleep Apnea</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >4.81</td></tr><tr><td align="center" valign="middle" >Syncope</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.92</td></tr></tbody></table></table-wrap><p>Source: Medical file.</p><p>Visual blurring was present in 23.08% of cases, followed by dyspnea on exertion with 22.12%.</p><p>Moderate obesity was observed in 34% of patients and overweight in 31%.</p><p>Waist circumference was high in 39.53% of the male patients with an average of 104 &#177; 11.04 cm against 37.70% for the female patients (average = 100 &#177; 15.22 cm).</p><p>Sinus rhythm in 55.77% of cases, cardiac ultrasound found a severely collapsed ejection fraction in 25% of patients, hyperglycemia accounted for 51%,</p><table-wrap-group id="5"><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Breakdown according to paraclinical examinations</title></caption><table-wrap id="5_1"><table><tbody><thead><tr><th align="center" valign="middle" >Para clinical variables</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >EKG</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Sinus rhythm</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >55.77</td></tr><tr><td align="center" valign="middle" >Conduction disorder</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >11.54</td></tr><tr><td align="center" valign="middle" >Rhythm disturbance</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >10.58</td></tr><tr><td align="center" valign="middle" >Echocardiography</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >LVEF retained</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >68.00</td></tr><tr><td align="center" valign="middle" >Moderately collapsed LVEF</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >7.00</td></tr><tr><td align="center" valign="middle" >Severely collapsed LVEF</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >25.00</td></tr><tr><td align="center" valign="middle" >Fasting blood sugar</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Hyperglycemia</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >51.00</td></tr></tbody></table></table-wrap><table-wrap id="5_2"><table><tbody><thead><tr><th align="center" valign="middle" >Hypoglycemia</th><th align="center" valign="middle" >7</th><th align="center" valign="middle" >7.00</th></tr></thead><tr><td align="center" valign="middle" >Normal blood sugar</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >20.00</td></tr><tr><td align="center" valign="middle" >Blood sugar not achieved</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >22.00</td></tr><tr><td align="center" valign="middle" >Glycated hemoglobin</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Not carried out</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >48.07</td></tr><tr><td align="center" valign="middle" >Normal HbA1C</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >23.08</td></tr><tr><td align="center" valign="middle" >Elevated HbA1C</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >28,85</td></tr><tr><td align="center" valign="middle" >Lipidogram according to male patients</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Total Cholesterol</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >12.90</td></tr><tr><td align="center" valign="middle" >Low HDL-c level</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >64.52</td></tr><tr><td align="center" valign="middle" >Low LDL-c level</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >16.13</td></tr><tr><td align="center" valign="middle" >Hyper Triglyceridemia</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >41.94</td></tr><tr><td align="center" valign="middle" >Lipidogram according to female patients</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Total Cholesterol</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >15.00</td></tr><tr><td align="center" valign="middle" >Low HDL-c level</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >75.00</td></tr><tr><td align="center" valign="middle" >Low LDL-c level</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >18.18</td></tr><tr><td align="center" valign="middle" >Hyper Triglyceridemia</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >42.86</td></tr></tbody></table></table-wrap></table-wrap-group><p>Source: Medical file.</p><p>glycated hemoglobin was elevated in 29% of patients. The Lipidogram carried out in male patients found: a low HDL-c level in 64.52%, hyper triglyceridemia in 41.94% of cases. The lipidogram of female patients showed: a low HDL-c level in 75% of cases, hypertriglyceridemia in 42.86% of patients.</p><p>Complications were dominated by dyslipidemia with a frequency of 53.85%, followed by stroke and acute renal failure with a frequency of 23% each.</p></sec><sec id="s4"><title>4. Discussion</title><p>A total of 104 patients were included, 61 women or 58.65% and 43 men or 41.35% (<xref ref-type="fig" rid="fig1">Figure 1</xref>), with a sex ratio of 0.70. Our result is similar to that of Raharinavalona with a female predominance of 53.88% and a sex ratio of 0.86 [<xref ref-type="bibr" rid="scirp.114016-ref10">10</xref>] in a type 2 diabetic population (harmonization FID 2009), the same observation was made by Laraqui with a frequency of 21.7% [<xref ref-type="bibr" rid="scirp.114016-ref11">11</xref>]. The average age in our series was 63.00 &#177; 11.44 years, with extremes ranging from 30 to 98 years. The predominant age group was that of 60 to 69 years with a frequency of 48.78% (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The same observation was made by BA in Senegal with an average age of 63.3 years [<xref ref-type="bibr" rid="scirp.114016-ref12">12</xref>], Alkassan found a lower result than ours with a frequency of 31.51% in the age group of 50 to 70 years [<xref ref-type="bibr" rid="scirp.114016-ref13">13</xref>]. This result is supported by numerous studies which show an increase in the prevalence of metabolic syndrome with age. Housewives were the most affected with a rate of 41.23% (<xref ref-type="table" rid="table2">Table 2</xref>). This situation is explained by the sedentary lifestyle led by women in general and in particular those who have no other activity than the household and by the lack of income to afford a healthier diet. The main antecedents found were: diabetes with 80.77%, followed by hypertension 79.81% and dyslipidemia with 53.85% (<xref ref-type="table" rid="table3">Table 3</xref>). This result is slightly higher than that of Laraqui who observed a frequency of 12.8% [<xref ref-type="bibr" rid="scirp.114016-ref11">11</xref>]. Tobacco is defined in numerous studies as an important risk factor in the occurrence of cardiovascular events [<xref ref-type="bibr" rid="scirp.114016-ref3">3</xref>]. Visual blurring was present in 23.08% of cases, followed by dyspnea on exertion with 22.12% (<xref ref-type="table" rid="table4">Table 4</xref>). These clinical signs speak in favor of complications in the eyes and heart. In our series, 34% of our patients presented moderate obesity and 31% were overweight, either a cumulative rate of 71% above normal (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Laraqui observed 53.4% of overweight patients [<xref ref-type="bibr" rid="scirp.114016-ref11">11</xref>]. Waist circumference was high in 39.53 of the male patients with an average of 104 &#177; 11.04 cm against 37.70% for the female patients (average = 100 &#177; 15.22 cm) <xref ref-type="fig" rid="fig4">Figure 4</xref>. These data remain consistently high in more than half of our patients. In our study, out of 41 patients who performed an ECG. 55.77% presented a sinus rhythm, an LVH was found in 4.81% which is predictive of some complications. 68% of patients with a cardiac ultrasound had retained LVEF. Hyperglycemia was found in 51% of patients due to the fact that the majority of patients had diabetes as a history and did not follow an appropriate diet. Elevated glycated hemoglobin (HbA1C) levels were found in 29% of cases. Low HDL-c was the predominant dyslipidemia in patients of both sexes, 75% in women and 64.52% in men (<xref ref-type="table" rid="table5">Table 5</xref>). HDL-cholesterol has a vascular protective effect against the development of atherosclerosis. The FRAMINGHAM study was one of the first prospective studies to show the inverse relationship between HDL-cholesterol and cardiovascular disease [<xref ref-type="bibr" rid="scirp.114016-ref14">14</xref>]. The European PROCAM study also demonstrated a very significant decrease in coronary risk as the value of HDL-cholesterol increased, with a risk 3 times higher in subjects whose HDL-cholesterol was less than 0.35 g/l than that of subjects whose level was greater than 0.35 g/l [<xref ref-type="bibr" rid="scirp.114016-ref15">15</xref>]. Elevated triglyceridemia levels were observed in 42.86% of women and 41.94% of men (<xref ref-type="table" rid="table5">Table 5</xref>). Overall lipid abnormalities are observed more in women than in men, this situation could be explained by the sedentary lifestyle in women and especially by fleeing as age advances. In our series, complications were dominated by dyslipidemia with a frequency of 53.85% (<xref ref-type="fig" rid="fig5">Figure 5</xref>). This could be explained by the fact that they are the starting point of cardiovascular complications. Stroke and acute renal failure followed with a frequency of 23% each (<xref ref-type="fig" rid="fig5">Figure 5</xref>). Heart failure and cardiomyopathy were found in 21.15% of cases each (<xref ref-type="fig" rid="fig5">Figure 5</xref>). This result proves that the metabolic syndrome constitutes a true precursor in the occurrence of cardiovascular events and emphasizes the need to implement all means to prevent these complications.</p><p>However, our study had many limitations, namely:</p><p>- The small size of the sample.</p><p>- The difficulty of collecting anthropometric data in bedridden patients (unconscious and bedridden).</p></sec><sec id="s5"><title>5. Conclusion</title><p>Metabolic syndrome is the combination of different metabolic and hemodynamic factors into a single entity that dramatically increases the risk of type 2 diabetes and/or cardiovascular disease. The female sex and the elderly are the most affected. Diabetes, hypertension, obesity and dyslipidemia are the most common personal histories. The metabolic syndrome remains a real public health problem, constantly increasing in our populations and constitutes a danger both in terms of its constituent elements and its complications. Its management primarily involves prevention through adopting a healthy lifestyle and treating people at high risk.</p></sec><sec id="s6"><title>Acknowledgements</title><p>Thanks to the University Hospital of Mother and Child “Luxembourg” of Bamako, Mali.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Keita, A., Sonfo, B., Daff&#233;, S., Fofana, D., Thiam, C., Doucour&#233;, O., Diallo, S., Sako, M., Konat&#233;, M., B&#226;, H.O., Camara, Y., Sangar&#233;, I., Coulibaly, S., Menta, I. and Diarra, M.B. (2021) Metabolic Syndrome: Epidemiological, Clinical and Biological Profiles in the Cardiology and Internal Medicine Departments of the Mother-Child CHU “Luxembourg”. World Journal of Cardiovascular Diseases, 11, 593-602. https://doi.org/10.4236/wjcd.2021.1112056</p></sec></body><back><ref-list><title>References</title><ref id="scirp.114016-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Tison, E. (2005) Syndrome métabolique: Diagnostic, conséquences cardiaques et vasculaires. EMC—Cardiologie-Angéiologie, 2, 423-430.  
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