<?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">OJEMD</journal-id><journal-title-group><journal-title>Open Journal of Endocrine and Metabolic Diseases</journal-title></journal-title-group><issn pub-type="epub">2165-7424</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojemd.2018.81002</article-id><article-id pub-id-type="publisher-id">OJEMD-81551</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>
 
 
  Epidemiological Aspects of Cerebrovascular Accidents in the Diabetic: Experience of the Medical Clinic II of the Hospital Center Abass Ndao of Dakar
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Djiby</surname><given-names>Sow</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>Demba</surname><given-names>Diédhiou</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>Mané Diallo</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>Michel</surname><given-names>Assane Ndour</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>Anna</surname><given-names>Sarr</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>Maimouna</surname><given-names>Ndour-Mbaye</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>Norou</surname><given-names>Diop Saïd</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Internal Medicine II, University Hospital Center of Dakar, Cheikh Anta Diop University, Dakar, Senegal</addr-line></aff><aff id="aff1"><addr-line>Department of Internal Medicine, Abass Ndao Hospital Center, Cheikh Anta Diop University, Dakar, Sénéga</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>drdjiby@yahoo.fr(DS)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>02</day><month>01</month><year>2018</year></pub-date><volume>08</volume><issue>01</issue><fpage>9</fpage><lpage>18</lpage><history><date date-type="received"><day>29,</day>	<month>November</month>	<year>2017</year></date><date date-type="rev-recd"><day>30,</day>	<month>December</month>	<year>2017</year>	</date><date date-type="accepted"><day>2,</day>	<month>January</month>	<year>2018</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 objective of our study was to describe the socio-demographic characteristics and cardiovascular risk factors (RVFs) of diabetic patients admitted for stroke in a department other than neurology. 
  Methods: Retrospective cross-sectional study over a period of six (6) years (January 2010 and December 2016), performed at the Internal Medicine Department of the Abass Ndao Hospital Center in Dakar. 
  Results: 79 adults with a mean age of 64.67 years, a female predominance (51.89%). The major risk factors found were arterial hypertension in 74.68% of cases, dyslipidemia in 32.35% of cases, smoking in 6.32% of cases. The reasons for consultation were a disorder of consciousness in 27.4% of cases, hemiplegia in 43.3% of cases, headache in 18.98% of cases, vertigo in 8.86% and dysarthria in 10.12% of the cases. Mean systolic blood pressure was 150 mmHg, mean diastolic blood pressure was 86 mmHg. The average blood glucose was 3 g/l. Strokes were associated with left ventricular hypertrophy in 30.55% of cases. Ischemic stroke accounted for 74.68%. The evolution was marked by a death in 20.25% (16) cases.
   Conclusion: Stroke is a major public health problem. Despite its predominance of women, they (stroke) affected 48.10% of men in our study when we know that in Africa the social activity is based on men. They remain a serious pathology in the diabetic by the high lethality.
 
</p></abstract><kwd-group><kwd>Africa</kwd><kwd> Chronic Complications</kwd><kwd> Diabetes</kwd><kwd> Mortality</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Diabetes is a public health problem because of the medical, social, and financial implications [<xref ref-type="bibr" rid="scirp.81551-ref1">1</xref>] . The International Diabetes Federation (IDF) 2015 estimates report a prevalence of 8.8%. Prevalence in sub-Saharan Africa will increase from 4.8% to 5.7% [<xref ref-type="bibr" rid="scirp.81551-ref2">2</xref>] . In Senegal, prevalence data remain approximate. According to 2015 IDF estimates, 3.4% of the Senegalese population is diabetic [<xref ref-type="bibr" rid="scirp.81551-ref2">2</xref>] . Diabetes is a leading cause of blindness, kidney failure, heart attack, stroke and lower limb amputation [<xref ref-type="bibr" rid="scirp.81551-ref3">3</xref>] . Stroke (all-cause) is the second leading cause of death in the world [<xref ref-type="bibr" rid="scirp.81551-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref5">5</xref>] , and recent studies show that mortality rates for ischemic stroke or cerebral hemorrhage are much higher in developing countries than in the industrialized countries [<xref ref-type="bibr" rid="scirp.81551-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref7">7</xref>] . Nevertheless prospective data in diabetics are rare on the management and the short and medium term evolution of these pathologies in sub-Saharan Africa [<xref ref-type="bibr" rid="scirp.81551-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref9">9</xref>] . The objective of our study was to describe the socio-demographic characteristics and Cardiovascular Risk Factors for diabetic patients admitted to stroke in an internal medicine unit to help better identify prevention targets.</p></sec><sec id="s2"><title>2. Material and Methods</title><p>This was a descriptive retrospective study from January 2010 to December 31<sup>st</sup> of 2016, performed in the internal medicine department of the Abass Ndao hospital center. It concerned diabetic patients of all ages admitted during the period of study for neurovascular accident documented by a systematic brain scan. Stroke was excluded from the study and not documented by cerebral computed tomography (CT) scans. The diagnosis of the stroke was clinical and paraclinical: Clinic: any patient presenting with neurological clinical abnormality lasting more than 24 hours; paraclinical: based on scan criteria. Non-hospitalized diabetic subjects, patients transferred or abused or with undocumented stroke were excluded. For this survey, we selected the following variables:</p><p>- Sociodemographic characteristics: sex, age grouped by slice and occupation, provenance;</p><p>- Study of diabetes mellitus: seniority, type of diabetes, nature of treatment, associated cardiovascular risk factors, level of glycemic equilibrium using fasting glucose and treatment of patients;</p><p>- A review of cardiovascular risk factors.</p><p>Those considered in this study, since all patients are diabetic, were: age (&gt;55 years in men and 60 years in women), active smoking, sedentary lifestyle, blood pressure over 130 mmHg, obesity, dyslipidemia, micro albuminuria greater than 30 mg/24h, hypercholesterolemia &gt; 2 g/l, hypoHDLemia &lt; 0.35 g/l, hypertriglyceridemia. The lipid balance was performed during a checkup.</p><p>- The treatment: low sodium diet, drug treatment of diabetes and treatment of high blood pressure, platelet and antiplatelet therapy statins;</p><p>- Reasons for hospitalization: reasons mentioned in the medical file or in the reference bulletin for hospitalization;</p><p>- The study of pathologies associated with diabetes.</p><p>Paraclinical data: fasting blood glucose; serum creatinine; the lipid balance the hemogram. CRP, computed tomography.</p><p>- The hospital outcome: we examined patient records to assess three possible outcomes: discharge from hospital, transfer to another department and finally death during hospitalization.</p><p>For the collection of data, we used the patient’s medical record as well as the data that existed in the patient’s hospital registry.</p><p>The capture and exploitation were carried out by SPSS STATISTICS 18.0 software.</p></sec><sec id="s3"><title>3. Results</title><p>Clinic: 79 patients met the criteria for inclusion. The sample consisted of 41 women (51.89%) and 38 men (48.10%) with a sex ratio of 0.92. The average age was 64.67 years with extremes [36 - 95 years]. Diabetes evolved for less than 5 years in 23.28% of patients and inaugural in 14.28%. All our patients had type 2 diabetes. The treatment was essentially insulin in 27.50% and oral anti-diabetics in 52.50%. Mean fasting blood glucose was 3.5mg/dl with extremes of 0.25 and HI. 62.67 patients had blood glucose (&gt;2 mg/dl). The <xref ref-type="table" rid="table1">Table 1</xref> shows the partition of patients according to socio demographic characteristics.</p><p>Major risk factors were dominated by high blood pressure followed by dyslipidemia and tobacco 74.68% respectively; 32.35% and 6.32%. The reasons for consultation were mainly loss of consciousness in 27.84% of cases, hemiplegia in 43.03% of cases, headache in 18.98% of cases, vertigo in 8.86% and dysarthria in 10.12% of the cases. On clinical examination they all had motor deficits, average systolic blood pressure was 147 mmHg (60 - 240), average diastolic blood pressure was 86 mmHg (40 - 140). The <xref ref-type="table" rid="table2">Table 2</xref> shows the partition of patients according to clinical characteristic.</p><p>Para clinical: the electrocardiogram revealed a disturbance of the heart rhythm in 27.7% of cases, left atrial hypertrophy in 22.2% of cases and left ventricular hypertrophy in 30.55% of cases. Ischemic stroke was the dominant lesion type with 74.68% ischemic brain scan lesion and 12.65% normal CT scan and bleeding stroke 12.65% of cases. Immediate evolution: patients who had hemorrhagic stroke were all transferred to an intensive care unit and some ischemic stroke (15.18%). The evolution was marked by a death in 20.25% (16) cases. The <xref ref-type="table" rid="table3">Table 3</xref> shows the distribution of patients according to paraclinical characteristics.</p></sec><sec id="s4"><title>4. Discussion</title><p>This retrospective study carried out at the internal medicine department of the Abass Ndao Dakar hospital, showed us an average age of patients admitted for stroke at 62.14 years. This average age is close to that of a predominantly black American population [<xref ref-type="bibr" rid="scirp.81551-ref8">8</xref>] with 62 years old. Other Africans [<xref ref-type="bibr" rid="scirp.81551-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref12">12</xref>] describe an average age ranging from 44.5 years to 61 years. In the African literature, there is a variability in prevalence by sex, either female or male: the majority of</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Partition of patients according to socio demographic characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Patients’ characteristics</th><th align="center" valign="middle" >number</th><th align="center" valign="middle" >Frequency %</th></tr></thead><tr><td align="center" valign="middle" >Sex Masculine Feminine</td><td align="center" valign="middle" >38 41</td><td align="center" valign="middle" >48.10 51.89</td></tr><tr><td align="center" valign="middle" >Age Average Extremes &lt;40 years [40 - 59] &gt;60 years</td><td align="center" valign="middle" >64.67 [36 - 95] 1 21 57</td><td align="center" valign="middle" >1.26 26.58 72.15</td></tr><tr><td align="center" valign="middle" >Address Dakar Out of Dakar</td><td align="center" valign="middle" >72 68 4</td><td align="center" valign="middle" >86.07 5.55</td></tr><tr><td align="center" valign="middle" >Profession Retreated Housewives without Others</td><td align="center" valign="middle" >46 13 19 9 5</td><td align="center" valign="middle" >28.26 41.3 19.56 10.86</td></tr><tr><td align="center" valign="middle" >Diabetes duration Inaugural &lt;5 years [5 - 9 years] &gt;10 years</td><td align="center" valign="middle" >63 9 15 8 31</td><td align="center" valign="middle" >14.28 23.28 12.69 49.20</td></tr><tr><td align="center" valign="middle" >Diabetes treatment Diet alone OAD Insuline</td><td align="center" valign="middle" >40 7 21 11</td><td align="center" valign="middle" >17.50 52.50 27.50</td></tr><tr><td align="center" valign="middle" >Stemming Exeat Transfered deceased</td><td align="center" valign="middle" >51 12 16</td><td align="center" valign="middle" >64.55 15.18 20.25</td></tr></tbody></table></table-wrap><p>studies favored a male preponderance with a ratio between 1.3 and 1.5 [<xref ref-type="bibr" rid="scirp.81551-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref15">15</xref>] . Ratios to 2 have been described [<xref ref-type="bibr" rid="scirp.81551-ref10">10</xref>] , as well as a female preponderance with ratios between 0.82 and 0.97 [<xref ref-type="bibr" rid="scirp.81551-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref17">17</xref>] . The predominance was female in our study with a sex ratio of 0.92. In Ivory Coast a Masculine predominance has already been described [<xref ref-type="bibr" rid="scirp.81551-ref18">18</xref>] .</p><p>The major risk factors were dominated by arterial hypertension followed by diabetes and tobacco respectively 74.68%; 32.35% and 6.32%. Hypertension as the</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Partition of patients according to clinical characteristic</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >clinical characteristics</th><th align="center" valign="middle" >number</th><th align="center" valign="middle" >Frequency %</th></tr></thead><tr><td align="center" valign="middle" >Clinical signs Headaches Disorders of consciousness Dizziness Hemiplegia Hemiparesis Aphasia dysarthria Paraplegia Monoplegia Balance disorder Peripheral facial paralysis Polyuria Polydipsia Fall Ptosis Amnesia Constipation vomiting</td><td align="center" valign="middle" >15 22 7 34 11 16 8 1 3 2 4 21 19 2 1 1 1 13</td><td align="center" valign="middle" >18.98 27.84 8.86 43.03 13.92 20.25 10.12 1.26 3.79 2.53 5.06 26.58 24.05 2.53 1.26 1.26 1.26 16.45</td></tr><tr><td align="center" valign="middle" >RISK FACTOR HTA Tabac Alcohol</td><td align="center" valign="middle" >59 5 3</td><td align="center" valign="middle" >74.68 6.32 3.79</td></tr><tr><td align="center" valign="middle" >Antecedents Hypertension Amputation Thrombophlebitis</td><td align="center" valign="middle" >4 4 2</td><td align="center" valign="middle" >5.06 5.06 2.53</td></tr><tr><td align="center" valign="middle" >Glycemia Average Extremes &gt;2 mg/dl HI</td><td align="center" valign="middle" >67 3.5 025-HI 42 3</td><td align="center" valign="middle" >62.67 4.47</td></tr><tr><td align="center" valign="middle" >Systolic blood pressure Average Extremes &gt;140 mmHg</td><td align="center" valign="middle" >75 14.93 6 - 24 49</td><td align="center" valign="middle" >65.33</td></tr><tr><td align="center" valign="middle" >Distolic Blood Pressure Average Extremes &gt;10 mmHg</td><td align="center" valign="middle" >75 865 [4 - 14] 22</td><td align="center" valign="middle" >29.33</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of patients according to paraclinical characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >paraclinical data</th><th align="center" valign="middle" >number</th><th align="center" valign="middle" >Frequency %</th></tr></thead><tr><td align="center" valign="middle" >ECG Normal HVG HAG Rhythm disorder Branch block Ischemia-lesion</td><td align="center" valign="middle" >36 10 11 8 10 4 5</td><td align="center" valign="middle" >27.7 30.55 22.2 27.7 11.11 13.88</td></tr><tr><td align="center" valign="middle" >Doppler ultrasound par abnormal HVG</td><td align="center" valign="middle" >18 7 11 5</td><td align="center" valign="middle" >38.88 61.11 27.77</td></tr><tr><td align="center" valign="middle" >Computed tomography Sylvian artery ACA ACP Jonctionnelle Type d’AVC AIT AVCI AVCH</td><td align="center" valign="middle" >28 10 5 2 10 59 10</td><td align="center" valign="middle" >35.44 12.65 6.32 2.53 12.65 74.68 12.65</td></tr><tr><td align="center" valign="middle" >Ultrasound of supra aortic trunks Normal Abnormal</td><td align="center" valign="middle" >6 3 3</td><td align="center" valign="middle" >50 50</td></tr><tr><td align="center" valign="middle" >Complete blood count Anemia Leukocytosis</td><td align="center" valign="middle" >53 15 24</td><td align="center" valign="middle" >28.30 45.28</td></tr><tr><td align="center" valign="middle" >CRP Average Negative Positive</td><td align="center" valign="middle" >29 102.3 4 25</td><td align="center" valign="middle" >13.80 86.20</td></tr><tr><td align="center" valign="middle" >HBA1C Average &gt;7%</td><td align="center" valign="middle" >12 8 7</td><td align="center" valign="middle" >58.3</td></tr><tr><td align="center" valign="middle" >Creatinine Average &gt;13 mg/l</td><td align="center" valign="middle" >50 17.37 13</td><td align="center" valign="middle" >26</td></tr><tr><td align="center" valign="middle" >Bilan lipidique Total cholesterol &gt; 2 g/l Hypo HDL LDL &gt; 1 g/l Hypertriglyceridemia</td><td align="center" valign="middle" >34 11 9 22 2</td><td align="center" valign="middle" >32.35 26.47 64.70 5.88</td></tr></tbody></table></table-wrap><p>main risk factor is described everywhere, both in Africa [<xref ref-type="bibr" rid="scirp.81551-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref11">11</xref>] and in developed countries [<xref ref-type="bibr" rid="scirp.81551-ref19">19</xref>] . The frequency of risk factors would be different in black subjects with successively hypertension, smoking, diabetes, heart disease while in Caucasian subjects it would be smoking, hypertension, heart disease, alcoholism, diabetes [<xref ref-type="bibr" rid="scirp.81551-ref19">19</xref>] .</p><p>For dyslipidemia, several major epidemiological studies have highlighted the link between lipid abnormalities and cardiovascular risk in type 2 diabetics. Thus, in the UKPDS [<xref ref-type="bibr" rid="scirp.81551-ref20">20</xref>] and the Strong Heart Study [<xref ref-type="bibr" rid="scirp.81551-ref21">21</xref>] , cardiovascular risk is multivariate analysis, positively associated with LDL-cholesterol and negatively with HDL-cholesterol levels.</p><p>The reasons for consultation found (loss of consciousness, hemiplegia, headaches) in our study have already been written in the literature [<xref ref-type="bibr" rid="scirp.81551-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref23">23</xref>] . In one large European cohort study has shown that diabetic subjects had more motor deficit and dysarthria, while aphasia and swallowing disorders were more common in non-diabetics [<xref ref-type="bibr" rid="scirp.81551-ref24">24</xref>] .</p><p>In our study diabetes was unbalanced in 58% of patients. The elevation of glycated hemoglobin (Hb A1C) would also be correlated with a pejorative prognosis. In the UKPDS study, A1C elevation of 1% was associated with a 37% increase in stroke lethality [<xref ref-type="bibr" rid="scirp.81551-ref25">25</xref>] . Hyperglycemia is frequently observed in the acute phase of stroke and is life-threatening, exacerbating the risk of early death.</p><p>The deleterious mechanisms of hyperglycemia would include pro-coagulant action and decreased fibrinolysis, reduced reperfusion of ischemic tissue, and increased size of necrosis. Hyperglycemia increases reperfusion-related lesions, accounting for the greater frequency of hemorrhagic changes [<xref ref-type="bibr" rid="scirp.81551-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.81551-ref27">27</xref>] . In the search for emboligenic heart disease we found a heart rhythm disorder in 27.7% of cases. Coulibally et al. [<xref ref-type="bibr" rid="scirp.81551-ref11">11</xref>] in Mali and Bendriss et al. [<xref ref-type="bibr" rid="scirp.81551-ref28">28</xref>] in Morocco reported proportions of 19.7% and 17.3% respectively, while for Lazzaro et al. [<xref ref-type="bibr" rid="scirp.81551-ref29">29</xref>] it was slightly lower (6%). These differences are related to the mode of selection of the patients, the type, and especially the duration of recording. Thus a recording over a longer period (48 or 72 hours) makes it possible to significantly increase the probability of detection of atrial fibrillation [<xref ref-type="bibr" rid="scirp.81551-ref30">30</xref>] . Our lethality (25%) is concordant with that observed (10% to 60%) in the African literature [<xref ref-type="bibr" rid="scirp.81551-ref31">31</xref>] . This is due to the late management of patients in hospital structures. This rate is higher than in the West where rapid admission to the neurovascular unit reduces stroke mortality [<xref ref-type="bibr" rid="scirp.81551-ref32">32</xref>] . The limits of the study are constituted by the fact that it is about a study on file of patients. The collection of data was not exhaustive clinically and paraclinically. Microalbuminuria, arterial echo doppler in search of arterial disease and effective diabetic nephropathy and fundus were not performed in all patients because of the high cost of these central examinations.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Diabetes is a major risk factor for stroke. Hence, hyperglycemia should be treated early and effectively in the acute phase of stroke and all vascular risk factors associated with diabetes, including hypertension.</p></sec><sec id="s6"><title>Cite this paper</title><p>Sow, D., Di&#233;dhiou, D., Diallo, I.M., Ndour, M.A., Sarr, A., Ndour-Mbaye, M. and Sa&#239;d, N.D. (2018) Epidemiological Aspects of Cerebrovascular Accidents in the Diabetic: Experience of the Medical Clinic II of the Hospital Center Abass Ndao of Dakar. 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