期刊
ENVIRONMENTAL POLLUTION
卷 241, 期 -, 页码 1106-1114出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2018.06.045
关键词
Temperature; Myocardial infarction; Review; Meta-analysis
资金
- National Natural Science Foundation of China [91543111, 21277135]
- Beijing Natural Science Foundation [7172145]
- National High-level Talents Special Support Plan of China for Young Talents
Previous studies have suggested that ambient temperature is associated with the mortality and morbidity of myocardial infarction (MI) although consistency among these investigations is lacking. We performed a meta-analysis to investigate the relationship between ambient temperature and Ml. The PubMed, Web of Science, and China National Knowledge Infrastructure databases were searched back to August 31, 2017. The pooled estimates for different temperature exposures were calculated using a random-effects model. The Cochran's Q test and coefficient of inconsistency (I-2) were used to evaluate heterogeneity, and the Egger's test was used to assess publication bias. The exposure-response relationship of temperature-MI mortality or hospitalization was modeled using random-effects meta regression. A total of 30 papers were included in the review, and 23 studies were included in the meta analysis. The pooled estimates for the relationship between temperature and the relative risk of MI hospitalization was 1.016 (95% confidence interval [CI]: 1.004-1.028) for a 1 degrees C increase and 1.014 (95% CI: 1.004-1.024) for a 1 degrees C decrease. The pooled estimate of MI mortality was 1.639 (95% CI: 1.087-2.470) for a heat wave. The heterogeneity was significant for heat exposure, cold exposure, and heat wave exposure. The Egger's test revealed potential publication bias for cold exposure and heat exposure, whereas there was no publication bias for heat wave exposure. An increase in latitude was associated with a decreased risk of MI hospitalization due to cold exposure. The association of heat exposure and heat wave were immediate, and the association of cold exposure were delayed. Consequently, cold exposure, heat exposure, and exposure to heat waves were associated with an increased risk of MI. Further research studies are required to understand the relationship between temperature and MI in different climate areas and extreme weather conditions. (C) 2018 Elsevier Ltd. All rights reserved.
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