Department of Public Health, Institute of Science Tokyo, Tokyo, Japan.
Department of Public Health, Institute of Science Tokyo, Tokyo, Japan.
Environ Res. 2024 Dec 15;263(Pt 3):120231. doi: 10.1016/j.envres.2024.120231. Epub 2024 Oct 25.
Nationwide studies investigating the association between daily mean temperature and Kawasaki disease are lacking. This study aimed to examine the association between ambient temperature and Kawasaki disease by utilizing daily data from nationwide administrative claims databases. The daily number of Kawasaki disease patients younger than 15 years old, who were hospitalized from 2011 to 2022, was extracted from the nationwide administrative claims database of hospitalizations in Japan. Daily mean temperature data and relative humidity data were obtained from the Japan Meteorological Agency. Since the exposure of interest includes heat, hospitalizations during the five warmest months (May through September) were used for analysis. A time-stratified case-crossover study with conditional quasi-Poisson regression analysis was used to estimate the relative risk (RR) of weather exposure for Kawasaki disease hospitalization with a lag of 0-5 days by prefecture. Relative humidity was included in the model simultaneously to control for its potential confounding effect. Random-effects meta-analysis was used to estimate pooled RRs. There was a total of 48,784 cases of Kawasaki disease hospitalization during the study period, of which 87.9% were under 5 years of age. Exposure to high daily mean temperatures was associated with an increased risk of hospitalization for Kawasaki disease. Specifically, exposure to extreme high daily mean temperatures (99th percentile high temperature) was associated with higher risk of hospitalization by 33% (RR 1.33, 95% confidence interval (CI):1.08, 1.65). Similar results were obtained from sensitivity analysis. Future research should elucidate the mechanisms by which high temperature is associated with hospitalization for Kawasaki disease.
全国性研究调查日平均温度与川崎病之间的关系尚缺乏。本研究旨在利用全国性住院管理数据库的日常数据,研究环境温度与川崎病之间的关系。从日本全国住院管理数据库中提取了 2011 年至 2022 年期间年龄在 15 岁以下、住院的川崎病患者的每日人数。从日本气象厅获取日平均温度数据和相对湿度数据。由于研究的暴露因素包括高温,因此分析仅纳入 5 个最温暖月份(5 月至 9 月)的住院数据。采用时间分层病例交叉研究,采用条件准泊松回归分析,按县估计天气暴露对川崎病住院的相对风险(RR),暴露时间滞后 0-5 天。模型同时纳入相对湿度,以控制其潜在混杂效应。采用随机效应荟萃分析估计汇总 RR。研究期间共有 48784 例川崎病住院病例,其中 87.9%的患者年龄在 5 岁以下。暴露于高温日平均温度与川崎病住院风险增加有关。具体来说,暴露于极端高温日平均温度(第 99 百分位数高温)与住院风险增加 33%相关(RR 1.33,95%置信区间(CI):1.08,1.65)。敏感性分析也得到了类似的结果。未来的研究应阐明高温与川崎病住院之间的关联机制。