Literature DB >> 23953755

Schizophrenia and the risk of cardiovascular diseases: a meta-analysis of thirteen cohort studies.

Zuoxu Fan1, Yaoyao Wu, Jian Shen, Tao Ji, Renya Zhan.   

Abstract

BACKGROUND: Numerous studies have investigated the relationship between schizophrenia and the incidence of cardiovascular disease (CVD), but their results were not entirely consistent. Our study aimed to elucidate the association between schizophrenia and the risk of CVD by a meta-analysis of cohort studies.
METHODS: PubMed, the Cochrane Library, and EMBASE databases were searched to identify relevant studies that met the prespecified inclusion criteria. We also reviewed reference lists from the retrieved articles. Relative risks (RRs) and 95% confidence intervals (CIs) were extracted and pooled using the fixed-effect or random-effects models.
RESULTS: Thirteen studies involving 3,549,950 participants, with outcomes of CVD reported for 422,698, were included in the meta-analysis. The follow-up period ranged from 1.6 to 36.0 years. The meta-analysis found that the pooled RRs for schizophrenia compared with the reference group were 1.53 (95% CI: 1.27-1.86) for the incidence of CVD, 1.20 (95% CI: 0.93-1.53) for coronary heart disease (CHD), 1.71 (95% CI: 1.19-2.46) for stroke, and 1.81 (95% CI: 1.42-2.29) for congestive heart failure (CHF). Sensitivity analysis after the exclusion of a single cohort or using the unadjusted RRs yielded similar results to the primary overall estimations. No evidence of publication bias was observed.
CONCLUSIONS: Schizophrenia is associated with increased incidence of CVD, stroke and CHF, and might also increase the risk of CHD. Greater attention should be paid to schizophrenia patients to prevent the occurrence of CVD and to decrease the risk of cardiac morbidity.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cardiovascular disease; Cohort studies; Meta-analysis; Schizophrenia

Mesh:

Year:  2013        PMID: 23953755     DOI: 10.1016/j.jpsychires.2013.07.011

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  48 in total

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