AP-HP, Groupe Hospitalier Charles Foix Pitié-Salpêtrière, Service de médecine interne, Ivry-sur-Seine, France.
J Am Med Dir Assoc. 2012 Mar;13(3):309.e1-7. doi: 10.1016/j.jamda.2011.06.005. Epub 2011 Jul 20.
Despite a surge of 15,000 deaths caused by the 2003 heat wave in France, the annual winter excess mortality rate remains a recurring phenomenon that is quantitatively greater than the isolated summer event.
Coefficients of Seasonal Variations in Mortality (CSVMs) were calculated using monthly mortality data from 1998 to 2007 in France. CSVM was a percentage representing the excess death rate from December to March inclusively, against average, monthly mortality from the other 8 non-winter months. Sociodemographic parameters and environmental factors were also obtained. Univariate and multivariate analyses were performed to identify risk factors of increased winter mortality.
The data revealed an annual winter excess death of 23,836 (± 7951) (mean ± 1 standard deviation) cases. On average, CSVM in France was +14.94% (13.54 [12.03; 19.70]) (mean, median, and interquartile intervals). Multivariate analysis results revealed that several factors contributed to the CSVM: sociodemographics, such as age (CSVM higher for the population older than 75) and death location (CSVM higher in nursing homes), environmental factors, such as the severity of the winter season (per monthly minimal temperature), and estimated number of influenza-like illnesses (ILI). Correlation between observed and predicted CSVMs was extremely consistent (R(2) = 0.91).
There was a fundamental belief that residents in nursing homes were well protected from cold spells and their consequences. Our results revealed this to be a mere misperception.
尽管 2003 年法国热浪导致 15000 人死亡,但每年冬季超额死亡率仍然是一个反复出现的现象,其数量大于孤立的夏季事件。
使用法国 1998 年至 2007 年的每月死亡率数据计算死亡率季节变化系数(CSVM)。CSVM 是 12 月至 3 月期间的超额死亡率与其他 8 个非冬季月份的平均每月死亡率之间的百分比。还获得了社会人口统计学参数和环境因素。进行了单变量和多变量分析,以确定增加冬季死亡率的危险因素。
数据显示每年冬季超额死亡 23836(±7951)例(平均值±1 个标准差)。法国平均 CSVM 为+14.94%(13.54 [12.03; 19.70])(平均值、中位数和四分位数间距)。多变量分析结果表明,有几个因素导致 CSVM:社会人口统计学因素,如年龄(75 岁以上人群 CSVM 较高)和死亡地点(疗养院 CSVM 较高);环境因素,如冬季季节的严重程度(每月最低温度)和估计的流感样疾病(ILI)数量。观察到的 CSVM 与预测 CSVM 之间的相关性非常一致(R(2) = 0.91)。
人们普遍认为疗养院的居民受到寒冷天气及其后果的良好保护。我们的结果表明,这只是一种误解。