Takeuchi Taro, Kitamura Tetsuhisa, Hirayama Atsushi, Katayama Yusuke, Shimazu Takeshi, Sobue Tomotaka
Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Department of Public Health, Osaka University Graduate School of Medicine, Suita, Japan.
Glob Health Med. 2021 Apr 30;3(2):82-89. doi: 10.35772/ghm.2020.01102.
In Japan, the differences in characteristics, severity, and mortality of novel coronavirus disease (COVID-19) patients between the first and second surges of infections have not been fully understood. This study is a retrospective cohort study of COVID-19 patients confirmed between February 1 and August 31, 2020 in Osaka Prefecture, Japan. Publicly available information on patients was collected from the website of Osaka Prefecture. Patients were divided into two groups according to the date of the positive laboratory test result: the first surge (February 1 to May 22) and the second surge (May 23 to August 31). Patients' characteristics were compared between the two groups. A multivariable Cox proportional-hazards model was applied to compare severity and mortality between the two groups, where sex, age group at the onset date, city of residence, and days to test positive were adjusted. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated. A total of 8,541 patients included 1,780 and 6,761 patients in the first and second surges, respectively. Age at the onset date was younger in the second surge ( < 0.001), and median of days from the onset date to the positive test date shortened from 7 to 6 days ( < 0.001). The multivariable Cox proportional-hazards model revealed that both severity and mortality were lower in the second surge than in the first surge (severity: HR: 0.51 [0.39-0.67]; mortality: HR: 0.37 [0.25-0.56]). In conclusion, severity and mortality were lower in the second surge than in the first surge among COVID-19 patients in Osaka Prefecture, Japan.
在日本,新型冠状病毒肺炎(COVID-19)患者在第一波和第二波感染高峰之间的特征、严重程度和死亡率差异尚未完全明确。本研究是一项对2020年2月1日至8月31日在日本大阪府确诊的COVID-19患者进行的回顾性队列研究。从大阪府网站收集患者的公开可用信息。根据实验室检测结果呈阳性的日期将患者分为两组:第一波高峰(2月1日至5月22日)和第二波高峰(5月23日至8月31日)。比较两组患者的特征。应用多变量Cox比例风险模型比较两组之间的严重程度和死亡率,并对性别、发病日期的年龄组、居住城市和检测呈阳性的天数进行了调整。计算了95%置信区间(CI)的风险比(HR)。共有8541例患者,第一波和第二波高峰分别有1780例和6761例患者。第二波高峰发病时的年龄更小(<0.001),从发病日期到检测呈阳性日期的中位数从7天缩短至6天(<0.001)。多变量Cox比例风险模型显示,第二波高峰的严重程度和死亡率均低于第一波高峰(严重程度:HR:0.51[0.39 - 0.67];死亡率:HR:0.37[0.25 - 0.56])。总之,在日本大阪府的COVID-19患者中,第二波高峰的严重程度和死亡率低于第一波高峰。