Department of Health Communication, Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Sci Total Environ. 2017 Jan 1;575:258-264. doi: 10.1016/j.scitotenv.2016.10.045. Epub 2016 Oct 12.
Although several studies have estimated the effect of extreme temperatures on out-of-hospital cardiac arrest (OHCA) in a single city or region, few have investigated variations in this association on a national level in Japan.
Daily data on OHCAs and weather variations were obtained from the 47 prefectures of Japan between 2005 and 2014. A time-series Poisson regression model with a distributed lag non-linear model was used to estimate the prefecture-specific effects. A multivariate meta-analysis was applied to pooled estimates on a national level.
A total of 659,752 OHCA cases of presumed-cardiac origin met the inclusion criteria. The minimum morbidity percentile (MMP) was identified as the 84th percentile for temperature, ranging from 20.8°C in Hokkaido to 28.8°C in Okinawa. The overall pooled relative risk versus the MMP was 2.10 (95% CI: 1.84, 2.40) at extremely low temperatures (1st percentile) and 1.06 (95% CI: 1.01, 1.12) at extremely high temperatures (99th percentile). The effects of extremely high temperatures were acute and disappeared after a few days, while those of extremely low temperatures were also acute, but persisted for several days. The multivariate Cochran's Q test indicated no heterogeneity between prefectures (p=0.699; I=1.0%).
Extreme temperatures are associated with an increased risk of OHCA. Timely prevention strategies might reduce the risk of OHCA during extreme temperatures. Several days prevention should be also implemented for extremely low temperatures.
尽管有几项研究已经在单一城市或地区评估了极端温度对院外心脏骤停(OHCA)的影响,但在日本,很少有研究在全国范围内调查这种关联的变化。
从 2005 年至 2014 年,从日本 47 个县获取关于 OHCA 和天气变化的每日数据。使用具有分布式滞后非线性模型的时间序列泊松回归模型来估计特定县的影响。在全国范围内应用多变量荟萃分析来汇总估计值。
共有 659752 例假定为心脏起源的 OHCA 病例符合纳入标准。最低发病率百分位数(MMP)被确定为温度的第 84 百分位数,范围从北海道的 20.8°C 到冲绳的 28.8°C。总体汇集的相对风险与 MMP 相比,极低温度(1%)时为 2.10(95%CI:1.84,2.40),极高温度(99%)时为 1.06(95%CI:1.01,1.12)。极高温度的影响是急性的,几天后消失,而极低温度的影响也是急性的,但持续数天。多变量 Cochrane's Q 检验表明各县之间没有异质性(p=0.699;I=1.0%)。
极端温度与 OHCA 风险增加相关。及时的预防策略可能会降低极端温度期间 OHCA 的风险。对于极低温度,还应实施数天的预防措施。