医学
心房颤动
交叉研究
渡线
环境卫生
心脏病学
人工智能
安慰剂
病理
替代医学
计算机科学
作者
Xinlei Zhu,Renjie Chen,Yong Zhang,Jialu Hu,Yixuan Jiang,Kai Huang,Jianan Wang,Wei Li,Bei Shi,Yundai Chen,Lang Li,Bao Li,Xiaoshu Cheng,Bo Yu,Yan Wang,Haidong Kan
标识
DOI:10.1016/j.scitotenv.2023.163351
摘要
Non-optimum ambient temperature has recently been acknowledged as an independent risk factor for disease burden, but its impact on atrial fibrillation (AF) episodes was rarely evaluated.To examine the associations between ambient non-optimum temperature and symptom onset of AF episodes and calculate the corresponding disease burden.We conducted an individual-level, time-stratified, case-crossover analysis based on a nationwide registry, which comprises of 94,711 eligible AF patients from 1993 hospitals in 322 Chinese cities from January 2015 to December 2021. Multiple moving 24 h average temperatures prior to the symptom onset of AF episodes were calculated as lag days. The associations were analyzed using conditional logistic regression combined with distributed lag non-linear models with a duration of lag 0-7 days, after controlling for criteria air pollutants. Stratification analyses were performed to explore possible effect modifiers.There was a monotonically increasing relationship of AF onset risk with decreasing temperature. The excess AF risk occurred at lag 1 d and lasted for 5 days. Nationally, the cumulative relative risk of AF episode onset associated with extremely low temperature (-9.3 °C) over lag 0-7 d was 1.25 (95 % confidence interval: 1.08, 1.45), compared with the reference temperature (31.5 °C). The exposure-response curve was steeper in the south than in the north where there was levelling-off at lower temperature. Nationally, 7.59 % of acute AF episodes could be attributable to non-optimum temperatures. The attributable fraction was larger for southern residents, males and patients <65 years.This nationwide study provides novel and robust evidence that declining ambient temperature could increase the risk of AF episode onset. We also provide the first-hand evidence that a considerable proportion of acute AF episodes could be attributable to non-optimum temperatures.
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