Xuelong Li1, Xianliang Li1, Fang Fang2, Xian Fu1, Hualiang Lin3, Qingchun Gao4. 1. Institute of Neuroscience, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China. 2. College for Public Health and Social Justice, Saint Louis University, Saint Louis, Missouri. 3. Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China. 4. Institute of Neuroscience, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China. Electronic address: qcgao@263.net.
Abstract
BACKGROUND: The association between metabolic syndrome (MetS) and recurrence of stroke remains unknown. We summarized the evidence by a meta-analysis of prospective cohort studies. METHODS: We searched the PubMed, EMBASE, and Google Scholar databases from their inception until July 2016 for cohort studies investigating this research question; relevant information was extracted by 2 independent investigators, and then aggregated using the random-effects meta-analysis approach. RESULTS: We identified 5 studies, including 7752 stroke patients who had a history of stroke or transient ischemic attack. Compared with persons without MetS, persons with MetS have a significantly higher risk of recurrent stroke, and the pooled relative risk (RR) was 1.52 (95% confidence interval (CI): 1.17-1.97). The strength of this association is greater than individual MetS components such as elevated blood pressure (RR = 1.05, 95% CI: .72-1.52), elevated triglycerides (RR = 1.04, 95% CI: .84-1.29), low high-density lipoprotein cholesterol (RR = 1.16, 95% CI: .91-1.48), or obesity (RR = 1.12, 95% CI: .89-1.41). The risk of recurrent stroke was highest in the group with elevated glycemia (RR = 1.70, 95% CI: 1.12-2.56). CONCLUSIONS: This meta-analysis suggests that MetS might be an important predictor of recurrent stroke. Among the 5 components of MetS, elevated glycemia was a stronger predictor for recurrent stroke.
BACKGROUND: The association between metabolic syndrome (MetS) and recurrence of stroke remains unknown. We summarized the evidence by a meta-analysis of prospective cohort studies. METHODS: We searched the PubMed, EMBASE, and Google Scholar databases from their inception until July 2016 for cohort studies investigating this research question; relevant information was extracted by 2 independent investigators, and then aggregated using the random-effects meta-analysis approach. RESULTS: We identified 5 studies, including 7752 strokepatients who had a history of stroke or transient ischemic attack. Compared with persons without MetS, persons with MetS have a significantly higher risk of recurrent stroke, and the pooled relative risk (RR) was 1.52 (95% confidence interval (CI): 1.17-1.97). The strength of this association is greater than individual MetS components such as elevated blood pressure (RR = 1.05, 95% CI: .72-1.52), elevated triglycerides (RR = 1.04, 95% CI: .84-1.29), low high-density lipoprotein cholesterol (RR = 1.16, 95% CI: .91-1.48), or obesity (RR = 1.12, 95% CI: .89-1.41). The risk of recurrent stroke was highest in the group with elevated glycemia (RR = 1.70, 95% CI: 1.12-2.56). CONCLUSIONS: This meta-analysis suggests that MetS might be an important predictor of recurrent stroke. Among the 5 components of MetS, elevated glycemia was a stronger predictor for recurrent stroke.
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