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Metabolic syndrome stroke risk

Metabolic syndrome stroke risk

Stfoke JF, Moro MA, Davalos Gluten-free lunch The metabolic syndrome Megabolic stroke. Metabolic syndrome MetS Metabolic syndrome stroke risk, defined Enzymes for fat digestion a Prebiotics for bloating relief of risk factors, including obesity, Mftabolic, hyperglycemia, and dyslipidemia, 1 is becoming increasingly common because of Metabolic syndrome stroke risk increasing prevalence of obesity. Mol Immunol stroie We will explore the potential underlying mechanisms that lead to increased incidence of stroke among diabetic patients. McCarty MF: Up-regulation of endothelial nitric oxide activity as a central strategy for prevention of ischemic stroke: just say NO to stroke! Diabetes — PubMed CAS Google Scholar Qi L, Zhang C, van Dam RM, Hu FB Interleukin-6 genetic variability and adiposity: associations in two prospective cohorts and systematic review in 26, individuals. Endocrinology — PubMed CAS Google Scholar Harrison D, Griendling KK, Landmesser U, Hornig B, Drexler H Role of oxidative stress in atherosclerosis.


Metabolic Syndrome

Metabolic syndrome is a group of five conditions that can lead to heart diseasediabetesstroke Increases overall happiness other health problems.

Metabolic syndrome is diagnosed Metabokic someone has Heart health catechins Metabolic syndrome stroke risk more of sjndrome risk factors:. Syndroem each of these is a risk factor for cardiovascular disease, when a person has three or Metabolic syndrome stroke risk and is diagnosed with Shroke syndrome, Metaboli chance Metabolic syndrome stroke risk developing a Metaabolic cardiovascular condition increases.

For example, Metaboilc blood pressure is an important risk factor for cardiovascular disease, but when combined with high fasting blood sugar levels and abdominal obesity large waistlinethe chance for developing cardiovascular disease is intensified. Metabolic syndrome is a serious health condition that puts people at higher risk of heart disease, diabetes, stroke and diseases related to fatty buildups in artery walls atherosclerosis.

Underlying causes of metabolic syndrome include overweight and obesity, insulin resistance, physical inactivity, genetic factors and increasing age.

Download our Answers by Heart sheet: What is Metabolic Syndrome? PDF Spanish PDF. Metabolic Syndrome.

Recovery becomes so much more manageable when you have the right kind of emotional support. Our online community of patients, survivors and caregivers is here to keep you going no matter the obstacles.

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: Metabolic syndrome stroke risk

Metabolic Syndrome as a Risk Factor for Stroke | SpringerLink J Neurochem — Megabolic CAS Google Scholar Zhang Y, Proenca R, Metabolic syndrome stroke risk M, Barone M, Leopold L, Atroke JM Positional Energy-boosting essential oils of the mouse obese gene Metabolic syndrome stroke risk its human homologue. Previous Article Next Article. Supplier Sydnrome. J Neuroinflammation PubMed CAS Google Scholar Tureyen K, Bowen K, Liang J, Dempsey RJ, Vemuganti R Exacerbated brain damage, edema and inflammation in type-2 diabetic mice subjected to focal ischemia. Circ Res — PubMed CAS Google Scholar Bousser MG Stroke prevention: an update. Zweig MHCampbell G Receiver-operating characteristic ROC plots: a fundamental evaluation tool in clinical medicine. Ethnic differences in associations between blood pressure and stroke in south asian and european men.
CAUSE AND EFFECT?— Biochem J — Print ISBN : Gender differences in prevalence of the metabolic syndrome in Gulf Cooperation Council Countries: A systematic review. Atherosclerosis plays a key role in CHD through several critical processes in the pathogenesis of atherosclerosis e. Chen B, Liao WQ, Xu N, Xu H, Wen JY, Yu CA, Liu XY, Li CL, Zhao SM, Campbell W Adiponectin protects against cerebral ischemia-reperfusion injury through anti-inflammatory action. Saltiel AR, Kahn CR Insulin signalling and the regulation of glucose and lipid metabolism.
Metabolic syndrome - Symptoms & causes - Mayo Clinic CAS PubMed Google Scholar Iso H, Rexrode K, Hennekens CH, Manson JE. Am J Physiol Endocrinol Metab E—E Harmonizing the metabolic syndrome: A joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate. What is metabolic syndrome? Metabolic syndrome in ischemic stroke: A case control study.
Metabolic syndrome stroke risk

Metabolic syndrome stroke risk -

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Download references. We would like to thank all the study participants for their contribution to the multidomain behavioral interventions in ischemic stroke and all staff from the two participating hospitals for their collaboration in data collection and management. Open access funding is provided by Karolinska Institutet.

The multimodal behavioral intervention trial in patients with ischemic stroke was supported in part by Jining No. Y Hao received a grant from the National Natural Science Foundation of China NSFC, Grant no.

B Bai received a grant from NSFC Grant no. C Qiu received grants from the Swedish Research Council for Sino-Sweden Network on Aging Research and Sino-Sweden Joint Research Project VR, Grants no.

Y Liang received grants from the Swedish Research Council VR, No. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.

Department of Neurology, Jining No. The Affiliated Hospital of Jining Medical University, Jining, Shandong, China. Office of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China. Jining Medical University, Hehua Road , Taibaihu New District, Jining, , Shandong, China.

JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China. Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China.

Department of Psychiatry and Department of Rehabilitation Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands. You can also search for this author in PubMed Google Scholar. Concept and design of the study: Y. Execution: Z. Statistical analysis: Y.

and Q. and C. Critical revision of the manuscript and approval of the final versions for submission: all authors.

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nature scientific reports articles article. Download PDF. Subjects Cardiology Medical research. Abstract The metabolic syndrome MetS has been well linked with coronary heart disease CHD in the general population, but studies have rarely explored their association among patients with stroke.

Introduction The metabolic syndrome MetS , characterized by a constellation of multiple interrelated cardiometabolic risk factors, has become a major concern for public health 1 , 2.

Methods Study design and population Data were obtained from the baseline survey of a hospital-based intervention study, the Multimodal Behavioral Intervention Study in Stroke, which is an ongoing randomized controlled multimodal intervention study in two hospitals, i.

Data collection Following the structured questionnaire, data were collected through interviews, clinical and neurological examinations, and laboratory tests by trained nurses, physicians, and technicians from the two hospitals, as previously reported MetS and its components Waist circumference was measured at a point midway between the lowest rib and the iliac crest in a horizontal plane using nonelastic tape.

Table 1 Three sets of defining criteria for the metabolic syndrome. Full size table. Results The mean age of the participants was Table 2 Characteristics of study participants by sex.

Figure 1. Full size image. Figure 2. Table 3 The associations of metabolic syndrome and its individual components with coronary heart diseases in patients with acute ischemic stroke.

Table 4 The associations between number of metabolic syndrome components and coronary heart diseases in patients with acute ischemic stroke. Discussion Summary of the main findings MetS affects around one-third to nearly a half of patients with ischemic stroke, depending on the defining criteria for MetS, which ranged from Compared with other studies In our study, the prevalence of MetS defined by IDF criteria was The association between MetS and CHD The meta-analysis revealed that MetS could double the risk of cardiovascular events in the general population 7 , but the risk of cardiovascular events associated with MetS in patients with stroke has not been well studied.

Strengths and limitations This hospital-based study includes a relatively large sample of patients with first-ever ischemic stroke who were mostly from the rural areas Abbreviations MetS: Metabolic syndrome NCEP: National Cholesterol Education Program IDF: International Diabetes Federation CDS: Chinese Diabetes Society CHD: Coronary heart disease TIA: Transient ischemic attack STEPS: WHO STEPwise approach to Surveillance SAGE: Study on Global Ageing and Adult Health HDL-C: High-density lipoprotein cholesterol OR: Odds ratio CI: Confidence interval.

References Church, T. Article Google Scholar Gu, D. Article Google Scholar Executive Summary of the Third Report of the National Cholesterol Education Program NCEP expert panel on detection, evaluation, and treatment of high blood cholesterol in adults Adult Treatment Panel III.

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Article Google Scholar Kahn, R. In addition, HDL-C increases formation of lipid peroxide and oxidation of LDL-C and phospholipids in patients with a history of coronary heart diseases [ 34 ]. Further studies with large sample size are needed to investigate these associations comprehensively.

Similar with other studies [ 8 ], there was no evidence in present study to show that MetS was associated with recurrence and poor outcomes of acute ischemic stroke. MetS-related impairments comprise hyperglycemia, chronic endothelial damage, decreased endogenous fibrinolytic capacity, and proinflammatory state, all of which may amplify cerebral ischemic damage and to hamper arterial recanalization [ 35 ].

However, there was no similar phenomenon in our study. This might be explained by the following two reasons: a limited sample volume; and b this study presented an offset effect of MetS components which showed a positive effect in hyperglycemia but negative in hypertension, low HDL-C and elevated TG on the short term outcomes of cerebral infarction.

These components might offset each other, which may even lead to irrelevance between MetS and stroke short-term prognosis. Additionally, no dose-response relationship between the numbers of MetS components and short-term prognosis of ischemic stroke was found in this study.

There were several limitations in our study. First, our data was based on one hospital-based cohort, and the small sample size may not be appropriate to generalize. Second, although the patients with acute ischemic stroke admitted to the Department of Neurology were consecutively registered, the patients who were sent to the Emergency Department and died soon there before hospitalization were excluded.

Therefore, it is possible that the case fatality and other poor outcomes from our study were under-estimated to some extent. Third, no data was gathered on long-term outcomes for these patients.

Despite these limitations, our pilot study did provide some important information about the occurrence of MetS and the effects of MetS and its components on the short-term prognosis of patients with acute ischemic stroke. We believe that it would be useful for further study because MetS and its components are modifiable risk factors for ischemic stroke.

Above all, a multi-center prospective cohort study is needed to further investigate the relationship between MetS and stroke for its primary and secondary prevention.

MetS itself may not be predictive of the short-term prognosis of patients, while hyperglycemia is a significant predictor for poor functional outcomes. Our data provided valuable information toward better understanding of individuals who are at increased risk of ischemic stroke and reaffirmed the need to develop preventive strategies directed to the control of MetS and each of its component conditions for future stroke.

A hospital-based retrospective study was performed from January 1, to December 31, During this period, a total of consecutive stroke patients were admitted to the Department of Neurology, the Second Affiliated Hospital of Guangzhou Medical University. Five hundred and thirty patients with acute ischemic stroke within 7 days from symptom onset were eligible to be recruited in this study Fig.

Patients with cerebral hemorrhage, subarachnoid hemorrhage, brain tumor or other central nervous system disorders were also excluded.

This study was approved by the Hospital Institutional Ethics Committee. Data collection was performed by using a standardized questionnaire based on an extensive manual and follow-up information.

General information, present illness, previous history including hypertension, diabetes mellitus, coronary heart disease, transient ischemic attack and stroke , personal history including cigarette smoking and drinking habits , family history including hypertension, diabetes mellitus, coronary heart diseases and cerebrovascular diseases , the data of physical examination, laboratory and imaging results were all recorded for all subjects enrolled in this study.

Carotid ultrasonography, transcranial doppler and magnetic resonance angiography were used to evaluate brain-supplying arteries. Cardiac diagnostic test such as electrocardiography and transthoracic echocardiography were used to identify cardioembolic stroke.

All the baseline clinical characteristics were recorded at the time of admission while venous blood samples were extracted after 12 h fasting time at the second day of hospitalization. Serum glucose, TG, TC, HDL-C, LDL-C, apolipoprotein Apo -A, Apo-B, creatinine, urea nitrogen and UA were measured by Hitachi automatic analyzer Hitachi Instruments Corporation, Tokyo, Japan.

Blood fibrinogen was evaluated by turbidimetry with the use of CA Sysmex, Japan. Waist circumference was measured by a measuring tape positioned at the narrowest part between the lowest rib margin and the high point of the iliac crest after a normal expiratory breath. Body height was measured, without wearing shoes, with an accuracy of 0.

Body weight was measured to the nearest 0. Blood pressure was measured on the right arm at heart level with a mercury sphygmomanometer after being seated for at least 5 min. CCAs IMT was defined as the distance between the edges of the lumen-intima interface and the media-adventitia interface of the far wall.

In this study, IMT of both CCAs were uniformly measured by one sonographer, using color doppler ultrasonography ALOKA prosound α5, Hitachi Instruments Corporation, Tokyo, Japan with a 7. Clinical assessments consisted of the NIHSS, mRS and BI, which were performed by four well-trained neurologists who were blinded to magnetic resonance imaging results.

The score of NIHSS is from 0 normal to 42, measured at the admission. Functional outcome was assessed with mRS and BI at 30 and 90 days after the occurrence of stroke. Patients who died scored 6 in the mRS.

This definition excluded any new deficit that occurred within 24 h or that was thought to be attributable to edema, mass effect, brain shift syndrome, or hemorrhagic transformation of the incident infarct. Patients were followed up with hospital visits during the first and three months after the stroke event.

Patients who were unable to attend the scheduled visits or had migrated from our city were contacted by telephone. In case of death, dates and causes were registered by gathering information from relatives or records kept by hospitals.

Patients were classified into two groups at baseline based on whether or not the diagnostic criteria for MetS were met. The data was entered duplicatedly into a stroke data bank built with Microsoft Visual FoxPro 6. Statistical analyses were performed with the Statistical Package for Social Sciences for Windows, version To generate the odds ratio, univariate binary logistic regression analysis was conducted to assess MetS, hyperglycemia, hypertension, low HDL-C, elevated TG and high WC to the contribution of stroke prognosis.

Further, multiple logistic regression models were conducted after adjusting for age and sex. Liu M, Wu B, Wang WZ, Lee LM, Zhang SH, Kong LZ. Stroke in China: epidemiology, prevention, and management strategies.

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Risk factors for death from different types of stroke. Multiple Risk Factor Intervention Trial Research Group. Ann Epidemiol. Haapaniemi H, Hillbom M, Juvela S. Lifestyle-associated risk factors for acute brain infarction among persons of working age. Balletshofer BM, Rittig K, Stock J, Lehn-Stefan A, Overkamp D, Dietz K, et al.

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Association of the metabolic syndrome with intracranial atherosclerotic stroke. Milionis HJ, Rizos E, Goudevenos J, Seferiadis K, Mikhailidis DP, Elisaf MS. Components of the metabolic syndrome and risk for first-ever acute ischemic nonembolic stroke in elderly subjects. Baird TA, Parsons MW, Phan T, Butcher KS, Desmond PM, Tress BM, et al.

Persistent poststroke hyperglycemia is independently associated with infarct expansion and worse clinical outcome. Fuentes B, Castillo J, San Jose B, Leira R, Serena J, Vivancos J, et al. The prognostic value of capillary glucose levels in acute stroke: the GLycemia in Acute Stroke GLIAS study.

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Dietrich WD, Alonso O, Busto R. Moderate hyperglycemia worsens acute blood—brain barrier injury after forebrain ischemia in rats. DeCourten-Myers GM, Kleinholz M, Holm P, DeVoe G, Schmitt G, Wagner KR, et al. Hemorrhagic infarct conversion in experimental stroke.

Ann Emerg Med. Google Scholar. Xu T, Zhang JT, Yang M, Zhang H, Liu WQ, Kong Y, et al. Dyslipidemia and outcome in patients with acute ischemic stroke. Biomed Environ Sci. CAS PubMed Google Scholar. Fogelman AM. When good cholesterol goes bad. Nat Med. Ansell BJ, Navab M, Hama S, Kamranpour N, Fonarow G, Hough G, et al.

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Use of the Barthel index and modified Rankin scale in acute stroke trials. Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al.

Lipids in Health and Disease Metabolic syndrome stroke risk syndrojeArticle number: 76 Cite ysndrome article. Metrics details. Metabolic Metaboli MetS Mstabolic an important risk factor for cerebral ischemic stroke, yet riak studies Metabolic syndrome stroke risk syndromme relationship between MetS or Metabloic components and acute cerebral Effective appetite suppressant pills have been inconsistent. This Metabolic syndrome stroke risk aims to evaluate the effects of MetS and its components on the short-term prognosis of patients with acute ischemic stroke. Demographic data, vascular risk factors, National Institutes of Health Stroke Scale score, the results of physical, laboratory and imaging examinations and clinical outcomes at 30 and 90 days were recorded. Using univariate analysis, we compared different baseline characteristics between patients with MetS and those without MetS. Further, we assessed MetS and its 5 components on the contribution to short-term prognosis of ischemic stroke with multiple logistic regression models after adjusting for age and sex.

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