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  1. 1. 28 Journal of the Arab Board of Health Specializations Vol.11, No 4, 2010 Original Article ‫أصيل‬ ‫مقال‬ ABStRACt Objective:Theobjectiveofthestudyweretodetermine theprevalenceandidentifytheassociatedandprognostic factors that influence the risk of metabolic syndrome among patients with acute stroke admitted to medical department in AL-kuwait University Hospital(KUH) in Sanaa city, Yemen. Methods: The study population of this cross sectional survey consisted of 331 patients recently diagnosed with acute stroke in the period between (2009-2010). Metabolic syndrome was defined according to the National Cholesterol Education Program–Adult Treatment Panel III (NCEP –ATP III) criteria Results: The prevalence of metabolic syndrome in our study was 39.5% males was more frequently affected than females. Hypertension was the most metabolic comorbiditiesinstrokepatientswithmetabolicsyndrome while central obesity is the least. Conclusions: We conclude that metabolic syndrome was common in stroke patients which could be explained by metabolic syndrome perse or due to different metabolic co morbidities that are associated with it. IntRoDuCtIon Several studies showed high prevalence of the metabolic syndrome in different high risk populations,1,2 but the magnitude of the metabolic syndrome MS becomes apparent when in an apparently healthy population prevalence of nearly 24% is found.3 In our country there is no study dealing with the prevalence of metabolic syndrome in acute stroke patients, therefore we decided to start this study in Al-Kuwait University Hospital (KUH) in Sanaa City aiming to provide more information about the prevalence of MS and other associated risk factors in patients with acute stroke. THE PREVALENCE OF METABOLIC SYNDROME IN PATIENTS WITH STROKE ‫الدماغية‬ ‫السكتة‬ ‫مرضى‬ ‫لدى‬ ‫األيضية‬ ‫المتالزمة‬ ‫انتشار‬ Mohammed Bamashmoos, MD; Kalid Alagbary, MD; Faizaa Asker, MD ‫عسكر‬ ‫فايزة‬ .‫د‬ ،‫األغبري‬ ‫خالد‬ .‫د‬ ،‫بامشموس‬ ‫محمد‬ .‫د‬ ‫البحث‬ ‫ملخص‬ ‫المقبولين‬ ‫الحادة‬ ‫الدماغية‬ ‫السكتة‬ ‫مرضى‬ ‫عند‬ ‫لها‬ ‫افقة‬ ‫ر‬‫الم‬ ‫ية‬‫ر‬‫اإلنذا‬ ‫امل‬‫و‬‫الع‬‫و‬ ‫األيضية‬ ‫المتالزمة‬ ‫انتشار‬ ‫تحديد‬ ‫إلى‬ ‫اسة‬ ‫ر‬‫الد‬ ‫هذه‬ ‫تهدف‬ :‫البحث‬ ‫هدف‬ .‫اليمن‬ ‫في‬ ‫صنعاء‬ ‫مدينة‬ ‫في‬ ‫الجامعي‬ ‫الكويت‬ ‫مشفى‬ ‫في‬ ‫تم‬ .)2010-2009( ‫عامي‬ ‫بين‬ ‫ة‬ ‫ر‬‫الفت‬ ‫خالل‬ ‫الحادة‬ ‫الدماغية‬ ‫بالسكتة‬ ً‫ا‬‫حديث‬ ‫المشخصين‬ ‫من‬ ً‫ا‬‫يض‬‫ر‬‫م‬ 331 ‫المقطعية‬ ‫اسة‬ ‫ر‬‫الد‬ ‫هذه‬ ‫شملت‬ :‫البحث‬ ‫طرق‬ .)NCEP-ATPIII( ‫الثالث‬ ‫البالغين‬ ‫معالجة‬ ‫سلم‬ ‫معايير‬ -‫التثقيفي‬ ‫الوطني‬ ‫الكولسترول‬ ‫نامج‬‫ر‬‫لب‬ ً‫ا‬‫تبع‬ ‫األيضية‬ ‫المتالزمة‬ ‫يف‬‫ر‬‫تع‬ ‫اعتماد‬ ‫تفاع‬‫ر‬‫ا‬ ‫شكل‬ .‫باإلناث‬ ً ‫ة‬‫ن‬‫ر‬‫مقا‬ ‫المتالزمة‬ ‫بهذه‬ ‫للذكور‬ ‫أكبر‬ ‫تأثر‬ ‫لوحظ‬ ‫كما‬ ،%39.5 ‫اسة‬ ‫ر‬‫الد‬ ‫هذه‬ ‫في‬ ‫األيضية‬ ‫المتالزمة‬ ‫انتشار‬ ‫نسبة‬ ‫بلغت‬ :‫النتائج‬ ‫ة‬ ‫ر‬‫األخي‬ ‫تبة‬‫ر‬‫الم‬ ‫ية‬‫ز‬‫المرك‬ ‫البدانة‬ ‫احتلت‬ ‫بينما‬ ،‫األيضية‬ ‫بالمتالزمة‬ ‫المصابين‬ ‫الدماغية‬ ‫السكتة‬ ‫مرضى‬ ‫عند‬ ‫افقة‬ ‫ر‬‫الم‬ ‫اضية‬ ‫ر‬‫اإلم‬ ‫امل‬‫و‬‫الع‬ ‫أكثر‬ ‫ياني‬‫ر‬‫الش‬ ‫التوتر‬ .‫افق‬ ‫ر‬‫م‬ ‫كعامل‬ ‫إلى‬ ‫أو‬ ،‫ذاتها‬ ‫بحد‬ ‫األيضية‬ ‫المتالزمة‬ ‫دور‬ ‫إلى‬ ‫ى‬ ‫يعز‬ ‫ما‬ ‫وهو‬ ‫الدماغية‬ ‫السكتة‬ ‫مرضى‬ ‫عند‬ ‫األيضية‬ ‫المتالزمة‬ ‫ع‬ ‫شيو‬ ‫اسة‬ ‫ر‬‫الد‬ ‫هذه‬ ‫تظهر‬ :‫االستنتاجات‬ .‫لها‬ ‫افقة‬ ‫ر‬‫الم‬ ‫ى‬ ‫األخر‬ ‫اضية‬ ‫ر‬‫اإلم‬ ‫امل‬‫و‬‫الع‬ *Mohammed Bamashmoos, MD, Assistant Professor of Internal Medicine, Sana'a University, Sana'a, Yemen. E-mail: mabamashmoos@yahoo.com. *Kalid Alagbary, MD, Assistant Professor of Internal Medicine, Sana'a University, Sana'a, Yemen. *Faizaa Asker, MD, Arab Board.
  2. 2. 29 Journal of the Arab Board of Health Specializations Vol.11, No 4, 2010 The presence of metabolic syndrome has been asso- ciated with an increased risk of prevalent stroke in the existing literature. In the National Health and Nutrition Examination survey among 10357 subjects,4 the preva- lence of metabolic syndrome was significantly higher in persons with self reported history of stroke (43.5%) than in subjects with no history of vascular disease (22.8%). Metabolic syndrome was independently associated with stroke history in all ethnic groups and in both sexes (OR, 2.16 ;95% CI, 1.48 to 3.160).5 The association between metabolic syndrome and stroke has been confirmed in other populations integrated by elderly subjects, and the frequency of metabolic syndrome has been reported to be significantly higher in patients with a history of atherothrombotic or non embolic ischemic stroke.5-6 MEtHoDS Thesamplingframeofthisstudyincludedallnationals and non-national patients who were admitted with acute stroke toAl-Kuwait University Hospital (KUH) medical departments in Sana'a city. The diagnosis of acute stroke was defined as rapidly developing clinical signs of focal or global disturbance of cerebral function of presumed vascular origin lasting more than 24 hours. In total, 400 patients were approached by the authors out of which 331 (82.7%) patients agreed to enroll. The study was approved by the Joint Ethics Committee of the Faculty of Medicine and Health Sciences of Sanaa University. The data were collected between May 2009 and May 2010. Data collection After receiving a prior informed consent (a written one from literate patients and a verbally informed one from illiterate patients), a standardised data sheet was used to record the demographic variables including age, sex and presence of DM. DM was defined as a fasting plasma glucose level of > 7.8 mmol/l, random plasma glucose of > 11.1 mmol/l, or the requirement of regular hypoglycaemic drug(s). History of hypertension, hyperlipedemia (high TG, low HDL, high LDL), smoking and ischaemic heart disease was also recorded. Hypertension was defined as a previous record of at least two blood pressure reading of ≥130/85mmHg. Hyperlipedemia was defined as serum TG ≥150 mg/ dl, Low HDL ≤40 mg/dl in males and ≤50 mg/dl in females. Waistcircumferencewasmeasuredwithatapmeasure mid way between lower rib margin and the iliac crest. Blood pressure was measured in the right arm of seated subjects using mercury sphygmomanometer after 10-15 minutes of rest. Each subject had two measurements of blood pressure at 5-minutes. interval. Venous blood sampling was performed in the morning afteranovernightfastfordeterminationoffastingplasma glucose, triglyceride, and high density lipoprotein. Metabolic syndrome was diagnosed according to the NCEP-ATP 111(4) as the presence of three or more of the following five criteria: - Waist circumference ≥103 cm in males, or ≥88 in females. - Blood pressure ≥130/85 mmHg. - Triglycerides ≥150 mg/dl. - High density lipoprotein ≤40 mg/dl in males or ≤50 mg/dl in females. - Fasting blood sugar ≥110 mg/dl. The results were expressed a s mean±SD. Statistical analysis were performed using the statistical package for the social sciences (window version 11.0; SPSS inc, Chicago IL USA). Differences between groups were tested statistically using the Chi square test. Data were considered statistically significant when the p-value was ≤0.05. RESultS We studied 331 consecutive acute stroke patients, 211 (63.7%) were males and 120 (36.2%) were females. There age ranges were between 35-78 years, mean (55±32), males being older than females. Of all studied
  3. 3. 30 Journal of the Arab Board of Health Specializations Vol.11, No 4, 2010 patients, 266 (80.3%) had ischemic stroke and 64 (19.6%) had hemorrhagic stroke. Total (331) Female (120) Male (211) Factors 35-70 40-78 Age, (years) 120 (36%) 35 (10%) 85 (25%) Smoking habit 266 (80.3%) 95 (28.7%) 171 (51.6%) ischemic Stroke type 65 (19.6%) 25 (7.5%) 40 (12%) hemorrhagic 108 (32.6%) 43 (12.9%) 65 (19.6%) Type-2 DM 25 (7.5%) 10 (3%) 15 (4.5%) IFG 70 (21.1%) 39 (11.7%) 31 (9.%) Waist circumference 184 (55.5%) 59 (17.8%) 125 (37.7%) HTN 103 (31.1%) 37 (11%) 66 (19.9%) TG mg/dI 88 (26.5%) 45 (13.5%) 43 (12.9%) HDL mg/dI 131 (39.5%) 59 (17.8%) 72 (21.7%) Metabolic syndrom Table 1. Baseline characteristics of patients with stroke. The base line characteristics of patients with stroke is shown in Table 1. It shows that the most important risks factor in most patients was hypertension (55.5%) and metabolic syndrome (39.5%). Other traditional risk factors like smoking, type-2 diabetes, obesity and dyslipidaemia (high TG, low HDL) was seen in a less proportion of patients. The overall prevalence of the metabolic syndrome was 39.5%, with prevalence of 54.9% in males and 45% in females. However, there is no significant difference in the prevalence of metabolic syndrome between males and females. The physical and metabolic characteristics of stroke patients with and without metabolic syndrome are shown in Table 2. The main age for patients with metabolic syndrome was (58.5±43) versus (55.3±21) for patients without metabolic syndrome p=0.001,Also metabolic syndrome with stroke was more prevalent in males. 64.8% of patients with metabolic syndrome are smokers versus 17.5% without metabolic syndrome (p=0.0001). There is no significant difference regarding the prevalence of metabolic syndrome in patients with either ischemic or hemorrhagic stroke (p=0.44). Seventy seven percent (77%) of the stroke patients with metabolic syndrome had raised blood pressure versus 41.5% of patients without metabolic syndrome (p-value=0.00001), while 74% of them had high FBS or type 2 DM versus 18% had normal FBS (p-value=0.00001), 53.4% had high serum TG versus p-value Without MS (200) With MS (131) All patients (331) Factors 0.001 55.3±21 58.5±43 54±31 Age (years) 0.0071 139 (69.5%) 72 (54.9%) 211 (63.7%) Male sex 35 (17.5%) 58 (64.8%) 120 (36.2) Smoking 0.44 158 (79%) 108 (82.4%) 266 (80.3%) ischemic Type of stroke 0.44 42 (21%) 23 (17.5%) 65 (19.6) hemorrhagic 0.00001 36 (18%) 82 (62.5%) 108 (32.6%) Type-2 DM 0.02 17 (8.5%) 8 (6%) 25 (7.5%) IFG 0.0001 18 (9%) 52 (39.6%) 70 (21%) Obesity 0.00001 83 (41.5%) 101 (77%) 184 (55.5%) HTN 0.0001 33 (16.5%) 70 (53.4%) 103 (31.1%) TG mg/dl 0.0001 22 (11%) 66 (50.3%) 88 (26.5%) HDL mg/dl Table 2. Physical and metabolic characteristics of stroke patients with and without metabolic syndrome.
  4. 4. 31 Journal of the Arab Board of Health Specializations Vol.11, No 4, 2010 16.5% had normal TG level (p-value=0.00001) 50.3% had low HDL cholesterol versus 11% had normal HDL cholesterol (p-value=0.0001). The lowest prevalence of comorbidity in patients with metabolic syndrome was obesity (39.6% VS 9%) (p-value=0.0001). DISCuSSIon This study analyzes the prevalence of the metabolic syndrome in stroke patients who attended the medical department in (KUH) using the NCPE panel III criteria for definition of the metabolic syndrome. The result of this study provide valuable information about the metabolic syndrome in patients with stroke. The overall prevalence of the metabolic syndrome among patients with stroke in the present study is 39.5% which is equal to that in other comparable studies in stroke patients conducted in Italy 40% and 40% in Netherland.7,8 The similarity in the prevalence might be due to the same definition used for the criteria of metabolic syndrome in the different study population. The increased prevalence of the metabolic syndrome in patients with stroke may be explained by individual risk factors of the metabolic syndrome in association with other not routinely measured aspects of the metabolic syndrome as impaired fibrinolysis oxidative stress, increased small dense LDL, hypercoagulability, inflammation and hyperinsulinemia.9 Patients with stroke and metabolic syndrome were older than those without metabolic syndrome (mean 58.5±43 years). The prevalence of individual metabolic comorbidities of the metabolic syndrome in our study was high. Hypertension (77%) was the most common finding in our study. this was followed by the prevalence of type-2 diabetes and IFG (74%), high TG (53.4), low HDL 50.3% and obesity 39.6%. Similar finding was observed in the study by Chen et al in Taiwan,9 and by Arenilly et al in Spain10 where elevated blood pressure or previously diagnosed hypertension has high prevalence in patients with stroke (68.9% and 68%) respectively. Rodriguez, et al11 found that all metabolic syndrome components contributed to stroke risk, they found that groups with elevated blood pressure or elevated blood sugar were at greatest risk for stroke. Hypertension remain the most common modifiable risk factors for stroke in population including the elderly.12,13,14 Presence of hypertension as apart of metabolic syndrome was associated with increased risk of acute stroke. This association was high statistically significant in our study between stroke patients with and without metabolic syndrome (p-value=0.00001). Many researchers believe that insulin resistance is the patho physiological process underlining the clustering of vascular risk factors in the metabolic syndrome.15 Indices of insulin resistance predict atherosclerosis and vascular events independently of other risk factors including fasting glucose and lipid levels.16 Current NCEP/ATP III guidelines used impaired fasting glucose (>110 mg/dl or previously diagnosed type-2 diabetes as one of criterion for identifying subjects with metabolic syndrome, insulin resistance with normal, impaired glucose tolerance or diabetes may play a role as risk factors for stroke. Dyslipidaemia is the hall mark of the metabolic syndrome. Its characterized by elevated TG and low HDL cholesterol levels.17,18 In our analysis there is a significant correlation between high TG and low HDL in stroke patients with and without metabolic syndrome. There is controversy regarding the association between serum TG levels and stroke.19 It has been shown that postprandial hypertriglyceridemia is associated with carotid artery atherosclerosis.20 Nonetheless, in the Copenhagen city heart study, a long linear association between serumTG levels and non
  5. 5. 32 Journal of the Arab Board of Health Specializations Vol.11, No 4, 2010 hemorrhagic stroke was found, which was independent of age and sex.21 Inthemajorityofstudies,therewasinverseassociation between HDL–C and stroke.22,23 There is evidence that excess body weight is a predictor of stroke (total, ischemic, hemorrhagic) in men.23 Even though obesity is regarded as modifiable risk factor for vascular disease, high value of waist circumference increases the risk for stroke in 20 years old men but not in women. ConCluSIonS We conclude that metabolic syndrome was common in stroke patients which could be explained by the metabolic syndrome perse or due to different metabolic co morbidities that are associated with it. REFEREnCES Isoman B, Almagren P, Tuomi, et al. Cardiovascular 1. morbidity and mortality associated with the metabolic syndrome. Diabetes Care 2001;24(4):683-9. Rantala AO, Kauma H, Lilja M, et al. Prevalence of the 2. metabolicsyndromeindrug–treatedhypertensivepatients and control subject. J Intern Med 1999;245(2):163-74. Ford ES, Giles WH, Dietz WH. Prevalence of the 3. metabolic syndrome among US adults: Findings from the Third Nation Health and Nutrition Examination survey. JAMA 2002;287(3):356-9. Executive summary of the third report of the national 4. cholesterol education program (NCEP) expert panel on detection, evaluation and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA 2001;285(19):2486-97. Ninomiya JK, L'italien G, Criqui MH, et al. Association 5. of the metabolic syndrome with history of myocardial infarction and stroke in the Third National Health and Nutrition Examination Survey. Circulation 2004; 109:42-6. Suk SH, Sacco RL, Boden–Albala B, et al. Abdominal 6. obesity and risk of ischemic stroke. The Northern Manhattan Stroke Study. Stroke 2003;34:1586-92. John K, Gelbert L, Michael H, et al. Association of the 7. metabolic syndrome with history of myocardial infarction and stroke in the Third National Health and Nutrition Examination Survey. Circulation 2004;109;42-6. Olijhoek JK, Groaf Y, Banga JD, et al. The metabolic 8. syndrome is associated with advanced vascular damage in patients with coronary heart disease, stroke, peripheral arterial disease or abdominal aortic aneurism. Eur Heart J 2004;25:342-8. Chen H J, Bai HC, Yeh T, et al. Influence of metabolic 9. syndrome and general obesity on the risk of ischemic stroke Stroke 2006;37:1060-4. Arenillas FJ, Sandoval P, Perez N, et al. The metabolic 10. syndrome is associated with higher resistance to intravenous thrombolysis for acute ischemic stroke in women than men. Stroke 2009;40:344-9. Rodriguez SM, Mo J, Duan Y, et al. Metabolic 11. syndrome clusters and the risk of incid ent stroke: The atherosclerosis risk in communities (ARIC) study. Stroke 2009;40:200-5. Seshari S, Woif PA, Beiser A, et al. Elevated midlife blood 12. pressure increase stroke risk in elderly persons. The Framingham study. Arch intern Med 2001:101:2343-56. Bonita R. Epidemiology of stroke. Lancet 13. 1992;339:342-4. Haralampos J, Milionis MD, Rizos E. Components of 14. the metabolic syndrome and risk for first–ever acute ischemic non embolic stroke. Stroke 2005;36:1372–6. Reaven GM. Banting lecture 1988. Role of insulin 15. resistance in human diseases. Diabetes 1988;37:1595- 607. Hanley AJ, Williams K, Stem MP, et al. Homeostasis 16. middle assessment of insulin resistance in relation to the incidence of cardiovascular disease. The San Antonio Health Study. Diabetes Care 2002;25:1177-84. Brunzell JD, Hokonson JE. Dyslipidaemia of centeral 17. obesity and insulin resistance. Diabetes Care 1999;22 (suppl3):C10-C3. GinsbergHN,HuangLS.Theinsulinresistancesyndrome. 18. Impact on lipoprotein metabolism and atherosclerosis. J Cardiovasc Risk 2000;7:325-31. Ryu JE, Howard G, Craven TE, et al. 3rd postprandial 19. triglyceridemia and carotid atherosclerosis in middle aged subjects. Stroke 1992;23:823-8. Lindenstrom E, Boysen G, Nyboe J. Influence of total 20. cholesterol, high density lipoprotein cholesterol and triglyceride on risk of cerebrovascular disease. The Copenhagen city heart study. BMJ 1994;309:11-5. Milion HL, Lipero poules E, Bairaktari ET, et al. Risk 21. factor for first years acute ischemic stroke in elderly individuals. Inf J Cardiol 2005:99;269-75. Kurth T, Gaziano JM, Borger K, et al. Body mass 22. index and the risk of stroke in men. Arch Intern Med 2002;162:2557-62. Dey DK, Rothernberg E, Sundh V, et al. Waist 23. circumference, body mass index and risk for stroke in older people. A 15-years longitudinal population study of 70 – years old. J Am Geriatr Soc 2002;50:1510-8.

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