Chen Jinmiao, Gao Ya, Jiang Yixuan, Li Huichu, Lv Minzhi, Duan Weixun, Lai Hao, Chen Renjie, Wang Chunsheng
Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai 200032, China.
Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, 130 Dong'an Rd, Shanghai 200032, China.
Eur Heart J. 2022 Jan 25;43(3):228-235. doi: 10.1093/eurheartj/ehab803.
The incidence of acute aortic dissection (AAD) has been shown to have seasonal variation, but whether this variation can be explained by non-optimum ambient temperature and temperature change between neighbouring days (TCN) is not clear.
We performed a time-stratified case-crossover study in the Registry of Aortic Dissection in China covering 14 tertiary hospitals in 11 cities from 2009 to 2019. A total of 8182 cases of AAD were included. Weather data at residential address were matched from nearby monitoring stations. Conditional logistic regression model and distributed lag nonlinear model were used to estimate the associations of daily temperature and TCN with AAD, adjusting for possible confounders. We observed an increase of AAD risk with lower temperature cumulated over lag 0-1 day and this association became statistically significant when daily mean temperature was below 24°C. Relative to the referent temperature (28°C), the odds ratios (ORs) of AAD onset at extremely low (-10°C) and low (1°C) temperature cumulated over lag 0-1 day were 2.84 [95% confidence interval (CI): 1.69, 4.75] and 2.36 (95% CI: 1.61, 3.47), respectively. A negative TCN was associated with increased risk of AAD. The OR of AAD cumulated over lag 0-6 days was 2.66 (95% CI: 1.76, 4.02) comparing the extremely negative TCN (-7°C) to no temperature change. In contrast, a positive TCN was associated with reduced AAD risk.
This study provides novel and robust evidence that low ambient temperature and temperature drop between neighbouring days were associated with increased risk of AAD onset.
Incidence of acute aortic dissection (AAD) was reported to have seasonal trends, but it remains unclear whether non-optimum ambient temperature and temperature change between neighbouring days (TCN) is associated with AAD onset.
Daily mean temperature lower than 24°C was significantly associated with increased risk of AAD at lag 0-1 day. A negative TCN (temperature drop) was associated with increased risk of AAD, whereas a positive TCN was associated with decreased risk.
This multi-centre, case-crossover study provides novel and robust evidence that low ambient temperature and temperature drop between neighbouring days were associated with increased AAD risk.
急性主动脉夹层(AAD)的发病率已显示出季节性变化,但这种变化是否可由非最佳环境温度及相邻两日的温度变化(TCN)来解释尚不清楚。
我们在中国主动脉夹层登记处进行了一项时间分层病例交叉研究,该登记处涵盖了2009年至2019年11个城市的14家三级医院。共纳入8182例AAD病例。从附近监测站匹配居住地址的天气数据。使用条件逻辑回归模型和分布滞后非线性模型来估计每日温度和TCN与AAD的关联,并对可能的混杂因素进行调整。我们观察到,在滞后0 - 1天累积的较低温度下,AAD风险增加,当日平均温度低于24°C时,这种关联具有统计学意义。相对于参考温度(28°C),在滞后0 - 1天累积的极低(-10°C)和低温(1°C)下AAD发病的比值比(OR)分别为2.84 [95%置信区间(CI):1.69,4.75]和2.36(95% CI:1.61,3.47)。负的TCN与AAD风险增加相关。将极低负TCN(-7°C)与无温度变化相比,在滞后0 - 6天累积的AAD的OR为2.66(95% CI:1.76,4.02)。相反,正的TCN与AAD风险降低相关。
本研究提供了新的有力证据,表明环境温度低和相邻两日的温度下降与AAD发病风险增加有关。
据报道急性主动脉夹层(AAD)的发病率有季节性趋势,但尚不清楚非最佳环境温度及相邻两日的温度变化(TCN)是否与AAD发病有关。
日平均温度低于24°C与滞后0 - 1天AAD风险增加显著相关。负的TCN(温度下降)与AAD风险增加相关,而正的TCN与风险降低相关。
这项多中心病例交叉研究提供了新的有力证据,表明环境温度低和相邻两日的温度下降与AAD风险增加有关。