Kimura Hitomi, Hosozawa Mariko, Taniguchi Yuta, Yamagishi Kazumasa, Kitajima Koji, Terada Mari, Asai Yusuke, Ohmagari Norio, Iso Hiroyasu
Institute for Global Health Policy Research, Japan Institute for Health Security.
Doctoral Program in Medical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba.
J Epidemiol. 2025 Apr 19;35(9):402-9. doi: 10.2188/jea.JE20240395.
We examined the association between the COVID-19-specific prefectural bed utilization rate and in-hospital mortality during the first three years of the pandemic in Japan.
This nationwide study included 58,175 COVID-19 patients from the COVID-19 Registry Japan, hospitalized between May 1, 2020 and November 30, 2022. Based on the weekly COVID-19-specific bed utilization rate in each prefecture at diagnosis, patients were categorized into four groups (< 25%, 25% to < 50%, 50% to < 75%, and ≥ 75%). Odds ratios (ORs) were estimated by fitting a generalized linear mixed model with prefecture as a random intercept and adjusting for covariates (age, gender, body mass index, smoking and drinking status, and comorbidities). Additional analyses according to age group, gender, and wave of the pandemic were conducted.
We observed 2312 (4.0%) all-cause in-hospital deaths. All-cause in-hospital mortality increased with higher COVID-19 bed utilization rates at diagnosis (OR for multivariable model 1.35, 95% confidence interval [CI] 1.19-1.54 for 25% to <50%; 1.89, 1.66-2.16 for 50 to <75%; 2.16, 1.80-2.58 for ≥75%; P for trend<0.0001). Stronger associations were noted among the younger population (aged <70 years, OR: 3.18, 1.96-5.19) and during the fourth (March 1-June 30, 2021, OR: 3.81, 2.13-6.80) and sixth pandemic waves (January 1-Jun 30, 2022, OR: 2.67, 1.68-4.23).
Our results emphasize that preventing hospital bed shortages during outbreaks is an important public health strategy to reduce the associated mortality, particularly when new strains emerge and in younger people.
我们研究了日本新冠疫情头三年中,各县新冠特定病床使用率与住院死亡率之间的关联。
这项全国性研究纳入了来自日本新冠登记处的58175例新冠患者,这些患者于2020年5月1日至2022年11月30日期间住院。根据诊断时各县每周的新冠特定病床使用率,患者被分为四组(<25%、25%至<50%、50%至<75%、≥75%)。通过拟合以县为随机截距的广义线性混合模型并对协变量(年龄、性别、体重指数、吸烟和饮酒状况以及合并症)进行调整,估计比值比(OR)。还根据年龄组、性别和疫情波次进行了额外分析。
我们观察到2312例(4.0%)全因住院死亡病例。诊断时新冠病床使用率越高,全因住院死亡率越高(多变量模型的OR:25%至<50%为1.35,95%置信区间[CI]为1.19 - 1.54;50%至<75%为1.89,1.66 - 2.16;≥75%为2.16,1.80 - 2.58;趋势P<0.0001)。在较年轻人群(年龄<70岁,OR:3.18,1.96 - 5.19)以及第四波(2021年3月1日至6月30日,OR:3.81,2.13 - 6.80)和第六波疫情(2022年1月1日至6月30日,OR:2.67,1.68 - 4.23)期间,观察到更强的关联。
我们的结果强调,在疫情爆发期间防止医院床位短缺是一项重要的公共卫生策略,以降低相关死亡率,特别是在新毒株出现时以及在年轻人中。