Metabolic Syndrome and the Risk of Ischemic Stroke
Background Metabolic syndrome (MetS) is recently proposed as a predictor for the occurrence of vascular defects causing ischemic stroke. However, details on the association of MetS with stroke are scare in our region. The present study aimed to assess the predictive value of MetS and its components...
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| Veröffentlicht in: | Journal of stroke and cerebrovascular diseases 2017-02, Vol.26 (2), p.286-294 |
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| creator | Sarrafzadegan, Nizal, MD, Professor of Cardiology Gharipour, Mojgan, PhD Sadeghi, Masoumeh, MD, Professor of Cardiology Nezafati, Pouya, MD, General Practitioner Talaie, Mohammad, PhD Oveisgharan, Shahram, MD, Assistant Professor Nouri, Fatemeh, MS Khosravi, Alireza, MD, Associate Professor of Cardiology |
| description | Background Metabolic syndrome (MetS) is recently proposed as a predictor for the occurrence of vascular defects causing ischemic stroke. However, details on the association of MetS with stroke are scare in our region. The present study aimed to assess the predictive value of MetS and its components for stoke among the Iranian population. Methods A longitudinal population-based study was conducted on adults aged 35 years or older who were living in 3 districts in central part of Iran and followed for 10 years. Stroke was diagnosed using World Health Organization guidelines, and MetS was defined according to the Adult Treatment Panel-III definition. Results Among the 5398 subjects, 2021 suffered from MetS with an incidence of 37.4%. The incidence rates of stroke in those with and without MetS were 2.6% and 1.1%, respectively, with a higher significance in the former group ( P = .026). Compared to the controls, participants with stroke exhibited a higher prevalence of some components of MetS including hyperglycemia and hypertension. On Cox proportional hazard analysis, the hazard ratio for a long-term risk of ischemic stroke was 1.37 overall (95% confidence interval: 1.15-1.63, P |
| doi_str_mv | 10.1016/j.jstrokecerebrovasdis.2016.09.019 |
| format | Article |
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However, details on the association of MetS with stroke are scare in our region. The present study aimed to assess the predictive value of MetS and its components for stoke among the Iranian population. Methods A longitudinal population-based study was conducted on adults aged 35 years or older who were living in 3 districts in central part of Iran and followed for 10 years. Stroke was diagnosed using World Health Organization guidelines, and MetS was defined according to the Adult Treatment Panel-III definition. Results Among the 5398 subjects, 2021 suffered from MetS with an incidence of 37.4%. The incidence rates of stroke in those with and without MetS were 2.6% and 1.1%, respectively, with a higher significance in the former group ( P = .026). Compared to the controls, participants with stroke exhibited a higher prevalence of some components of MetS including hyperglycemia and hypertension. On Cox proportional hazard analysis, the hazard ratio for a long-term risk of ischemic stroke was 1.37 overall (95% confidence interval: 1.15-1.63, P < .001) in subjects with MetS. Considering different components of MetS, hyperglycemia (hazard ratio = 1.83, P = .011) and hypertension (1.74, P = .019) could effectively predict occurrence of long-term ischemic stroke. Conclusion MetS and its main components can be potent predictors for long-term ischemic stroke. Thus, the focus should be on identification and appropriate control of MetS components to prevent stroke occurrence.</description><identifier>ISSN: 1052-3057</identifier><identifier>EISSN: 1532-8511</identifier><identifier>DOI: 10.1016/j.jstrokecerebrovasdis.2016.09.019</identifier><identifier>PMID: 27769610</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Brain Ischemia - epidemiology ; Cardiovascular ; Female ; Follow-Up Studies ; hazard ; Humans ; Incidence ; Iran - epidemiology ; Longitudinal Studies ; Male ; Metabolic syndrome ; Metabolic Syndrome - epidemiology ; Middle Aged ; Neurology ; prediction ; Prevalence ; Proportional Hazards Models ; Risk ; Risk Factors ; stroke ; Stroke - epidemiology</subject><ispartof>Journal of stroke and cerebrovascular diseases, 2017-02, Vol.26 (2), p.286-294</ispartof><rights>National Stroke Association</rights><rights>2017 National Stroke Association</rights><rights>Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-7ef6e73d7eda6e3fe49af1b6b8b88344435b8d017f69b2038c6552e0622584143</citedby><cites>FETCH-LOGICAL-c459t-7ef6e73d7eda6e3fe49af1b6b8b88344435b8d017f69b2038c6552e0622584143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2016.09.019$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27769610$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sarrafzadegan, Nizal, MD, Professor of Cardiology</creatorcontrib><creatorcontrib>Gharipour, Mojgan, PhD</creatorcontrib><creatorcontrib>Sadeghi, Masoumeh, MD, Professor of Cardiology</creatorcontrib><creatorcontrib>Nezafati, Pouya, MD, General Practitioner</creatorcontrib><creatorcontrib>Talaie, Mohammad, PhD</creatorcontrib><creatorcontrib>Oveisgharan, Shahram, MD, Assistant Professor</creatorcontrib><creatorcontrib>Nouri, Fatemeh, MS</creatorcontrib><creatorcontrib>Khosravi, Alireza, MD, Associate Professor of Cardiology</creatorcontrib><title>Metabolic Syndrome and the Risk of Ischemic Stroke</title><title>Journal of stroke and cerebrovascular diseases</title><addtitle>J Stroke Cerebrovasc Dis</addtitle><description>Background Metabolic syndrome (MetS) is recently proposed as a predictor for the occurrence of vascular defects causing ischemic stroke. However, details on the association of MetS with stroke are scare in our region. The present study aimed to assess the predictive value of MetS and its components for stoke among the Iranian population. Methods A longitudinal population-based study was conducted on adults aged 35 years or older who were living in 3 districts in central part of Iran and followed for 10 years. Stroke was diagnosed using World Health Organization guidelines, and MetS was defined according to the Adult Treatment Panel-III definition. Results Among the 5398 subjects, 2021 suffered from MetS with an incidence of 37.4%. The incidence rates of stroke in those with and without MetS were 2.6% and 1.1%, respectively, with a higher significance in the former group ( P = .026). Compared to the controls, participants with stroke exhibited a higher prevalence of some components of MetS including hyperglycemia and hypertension. On Cox proportional hazard analysis, the hazard ratio for a long-term risk of ischemic stroke was 1.37 overall (95% confidence interval: 1.15-1.63, P < .001) in subjects with MetS. Considering different components of MetS, hyperglycemia (hazard ratio = 1.83, P = .011) and hypertension (1.74, P = .019) could effectively predict occurrence of long-term ischemic stroke. Conclusion MetS and its main components can be potent predictors for long-term ischemic stroke. Thus, the focus should be on identification and appropriate control of MetS components to prevent stroke occurrence.</description><subject>Brain Ischemia - epidemiology</subject><subject>Cardiovascular</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>hazard</subject><subject>Humans</subject><subject>Incidence</subject><subject>Iran - epidemiology</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Middle Aged</subject><subject>Neurology</subject><subject>prediction</subject><subject>Prevalence</subject><subject>Proportional Hazards Models</subject><subject>Risk</subject><subject>Risk Factors</subject><subject>stroke</subject><subject>Stroke - epidemiology</subject><issn>1052-3057</issn><issn>1532-8511</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqVkU2L1TAUhoMozjj6F6RLEVpz8tV0I-gw6sAVwdF1SJNTJr1tMya9A_ffm3pHF-LGVQ7k4X05zyHkNdAGKKg3YzPmNcU9OkzYp3hvsw-5YeWvoV1DoXtEzkFyVmsJ8LjMVLKaU9mekWc5j5QCSC2fkjPWtqpTQM8J-4yr7eMUXHVzXHyKM1Z28dV6i9XXkPdVHKrr7G5x3ohf7c_Jk8FOGV88vBfk-4erb5ef6t2Xj9eX73a1E7Jb6xYHhS33LXqrkA8oOjtAr3rda82FEFz22lNoB9X1jHLtlJQMqWJMagGCX5BXp9y7FH8cMK9mDtnhNNkF4yEb0FxKEIzTgr4_oS7FnBMO5i6F2aajAWo2d2Y0_3JnNneGdqa4KyEvH_oO_Yz-T8RvWQXYnQAsW98HTCa7gItDHxK61fgY_q_v7V9xbgpLcHba4xHzGA9pKX4NmMwMNTfbNbdjgiobC834T7dZoYw</recordid><startdate>20170201</startdate><enddate>20170201</enddate><creator>Sarrafzadegan, Nizal, MD, Professor of Cardiology</creator><creator>Gharipour, Mojgan, PhD</creator><creator>Sadeghi, Masoumeh, MD, Professor of Cardiology</creator><creator>Nezafati, Pouya, MD, General Practitioner</creator><creator>Talaie, Mohammad, PhD</creator><creator>Oveisgharan, Shahram, MD, Assistant Professor</creator><creator>Nouri, Fatemeh, MS</creator><creator>Khosravi, Alireza, MD, Associate Professor of Cardiology</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20170201</creationdate><title>Metabolic Syndrome and the Risk of Ischemic Stroke</title><author>Sarrafzadegan, Nizal, MD, Professor of Cardiology ; Gharipour, Mojgan, PhD ; Sadeghi, Masoumeh, MD, Professor of Cardiology ; Nezafati, Pouya, MD, General Practitioner ; Talaie, Mohammad, PhD ; Oveisgharan, Shahram, MD, Assistant Professor ; Nouri, Fatemeh, MS ; Khosravi, Alireza, MD, Associate Professor of Cardiology</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-7ef6e73d7eda6e3fe49af1b6b8b88344435b8d017f69b2038c6552e0622584143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Brain Ischemia - epidemiology</topic><topic>Cardiovascular</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>hazard</topic><topic>Humans</topic><topic>Incidence</topic><topic>Iran - epidemiology</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Middle Aged</topic><topic>Neurology</topic><topic>prediction</topic><topic>Prevalence</topic><topic>Proportional Hazards Models</topic><topic>Risk</topic><topic>Risk Factors</topic><topic>stroke</topic><topic>Stroke - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sarrafzadegan, Nizal, MD, Professor of Cardiology</creatorcontrib><creatorcontrib>Gharipour, Mojgan, PhD</creatorcontrib><creatorcontrib>Sadeghi, Masoumeh, MD, Professor of Cardiology</creatorcontrib><creatorcontrib>Nezafati, Pouya, MD, General Practitioner</creatorcontrib><creatorcontrib>Talaie, Mohammad, PhD</creatorcontrib><creatorcontrib>Oveisgharan, Shahram, MD, Assistant Professor</creatorcontrib><creatorcontrib>Nouri, Fatemeh, MS</creatorcontrib><creatorcontrib>Khosravi, Alireza, MD, Associate Professor of Cardiology</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of stroke and cerebrovascular diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sarrafzadegan, Nizal, MD, Professor of Cardiology</au><au>Gharipour, Mojgan, PhD</au><au>Sadeghi, Masoumeh, MD, Professor of Cardiology</au><au>Nezafati, Pouya, MD, General Practitioner</au><au>Talaie, Mohammad, PhD</au><au>Oveisgharan, Shahram, MD, Assistant Professor</au><au>Nouri, Fatemeh, MS</au><au>Khosravi, Alireza, MD, Associate Professor of Cardiology</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolic Syndrome and the Risk of Ischemic Stroke</atitle><jtitle>Journal of stroke and cerebrovascular diseases</jtitle><addtitle>J Stroke Cerebrovasc Dis</addtitle><date>2017-02-01</date><risdate>2017</risdate><volume>26</volume><issue>2</issue><spage>286</spage><epage>294</epage><pages>286-294</pages><issn>1052-3057</issn><eissn>1532-8511</eissn><abstract>Background Metabolic syndrome (MetS) is recently proposed as a predictor for the occurrence of vascular defects causing ischemic stroke. However, details on the association of MetS with stroke are scare in our region. The present study aimed to assess the predictive value of MetS and its components for stoke among the Iranian population. Methods A longitudinal population-based study was conducted on adults aged 35 years or older who were living in 3 districts in central part of Iran and followed for 10 years. Stroke was diagnosed using World Health Organization guidelines, and MetS was defined according to the Adult Treatment Panel-III definition. Results Among the 5398 subjects, 2021 suffered from MetS with an incidence of 37.4%. The incidence rates of stroke in those with and without MetS were 2.6% and 1.1%, respectively, with a higher significance in the former group ( P = .026). Compared to the controls, participants with stroke exhibited a higher prevalence of some components of MetS including hyperglycemia and hypertension. On Cox proportional hazard analysis, the hazard ratio for a long-term risk of ischemic stroke was 1.37 overall (95% confidence interval: 1.15-1.63, P < .001) in subjects with MetS. Considering different components of MetS, hyperglycemia (hazard ratio = 1.83, P = .011) and hypertension (1.74, P = .019) could effectively predict occurrence of long-term ischemic stroke. Conclusion MetS and its main components can be potent predictors for long-term ischemic stroke. Thus, the focus should be on identification and appropriate control of MetS components to prevent stroke occurrence.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>27769610</pmid><doi>10.1016/j.jstrokecerebrovasdis.2016.09.019</doi><tpages>9</tpages></addata></record> |
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| subjects | Brain Ischemia - epidemiology Cardiovascular Female Follow-Up Studies hazard Humans Incidence Iran - epidemiology Longitudinal Studies Male Metabolic syndrome Metabolic Syndrome - epidemiology Middle Aged Neurology prediction Prevalence Proportional Hazards Models Risk Risk Factors stroke Stroke - epidemiology |
| title | Metabolic Syndrome and the Risk of Ischemic Stroke |
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