Hashimoto Mitsuo, Fukuda Taiki, Shimizu Tetsuya, Watanabe Shou, Watanuki Satoshi, Eto Yoshikatsu, Urashima Mitsuyoshi
Division of Clinical Research and Development, The Jikei University School of Medicine, Tokyo, Japan.
Pediatr Int. 2004 Feb;46(1):48-52. doi: 10.1111/j.1442-200X.2004.01835.x.
Asthma attack shows strong seasonality. The purpose of the present study was to quantify the contribution of climate variables and other seasonal factors on the incidence of emergency visits for childhood asthma in Tokyo, Japan.
The number of children who visited emergency rooms at Jikei university hospitals in Tokyo during 1998-2002 (5559 visits) was retrieved retrospectively from files from the Department of Pediatrics, and compared with 45 climate parameters from the Meteorological Agency using multiple regression models with a stepwise backward elimination approach.
The number of visits (3.7 +/- 3.1) per night increased significantly when climate conditions showed a rapid decrease from higher barometric pressure, from higher air temperature and from higher humidity, as well as lower wind speed. The best-fit model demonstrated that a 22% variation in the number of visits was explained by a linear relationship with 12 climate variables, which increased to 36% after adjusting for calendar month and day of the week. Moreover, when the number of asthma visits was cut off at nine per night, the area under the receiver operator characteristics curve was 0.91 (95% CI: 0.89-0.94) in the multiple logistic regression model using the same variables.
These results suggest that these models might quantify contributions of specific climate conditions and other seasonal factors on the number of emergency visits per night for childhood asthma attack in Tokyo, Japan.
哮喘发作呈现出强烈的季节性。本研究的目的是量化气候变量和其他季节性因素对日本东京儿童哮喘急诊就诊率的影响。
回顾性检索1998 - 2002年期间东京慈惠会医科大学附属医院儿科急诊就诊儿童的数量(共5559次就诊),并使用逐步向后排除法的多元回归模型,将其与气象厅的45个气候参数进行比较。
当气候条件显示气压、气温和湿度从较高水平迅速下降,且风速较低时,每晚的就诊次数(3.7±3.1次)显著增加。最佳拟合模型表明,就诊次数22%的变化可由与12个气候变量的线性关系来解释,在对月份和星期几进行调整后,这一比例增至36%。此外,当每晚哮喘就诊次数限定为9次时,在使用相同变量的多元逻辑回归模型中,受试者工作特征曲线下面积为0.91(95%置信区间:0.89 - 0.94)。
这些结果表明,这些模型可能量化特定气候条件和其他季节性因素对日本东京儿童哮喘发作每晚急诊就诊次数的影响。