Chen Zhenhu, Tian Yue, Liu Juan, Ran Jinjun, Sun Shengzhi, Zhao Shi, Ge Yang, Martinez Leonardo, Chen Xin, Cao Peihua
Department of Pulmonary and Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Clinical Research Center, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Am J Epidemiol. 2024 Oct 30. doi: 10.1093/aje/kwae411.
The COVID-19 pandemic's global impact has been devastating, causing millions of deaths. Our study investigates excess sepsis-related mortality trends over three years during the pandemic. Using CDC's National Vital Statistics System data from January 2018 to March 2023, we projected sepsis-related deaths during the pandemic using a Poisson log-linear regression model. We compared observed versus predicted deaths and analyzed temporal trends by demographics and regions. Among the 753,160 deaths documented between March 2020 and March 2023, a significant downward trend was noted in sepsis-related mortality rates from March 2022 to March 2023, coinciding with the surge of the Omicron variant. The excess mortality rates were 170.6 per million persons (95% CI: 168.2-172.6), 167.5 per million persons (95% CI: 163.6-170.9), and 73.3 per million persons (95% CI: 69.4-76.6) in the first, second, and third years, respectively. Increased sepsis-related mortality was observed across all age subgroups, with the greatest increase noted in those aged 85 years and above compared to middle- and young-aged decedents. Disparities were also observed across racial/ethnic, sex/gender subgroups, and geographic regions. This study highlights the effectiveness of current policies and prevention measures in response to the long-term circulating of SARS-CoV-2 in the community.
新冠疫情的全球影响具有毁灭性,导致数百万人死亡。我们的研究调查了疫情期间三年中与脓毒症相关的超额死亡率趋势。利用美国疾病控制与预防中心(CDC)2018年1月至2023年3月的国家生命统计系统数据,我们使用泊松对数线性回归模型预测了疫情期间与脓毒症相关的死亡情况。我们比较了观察到的死亡人数与预测的死亡人数,并按人口统计学和地区分析了时间趋势。在2020年3月至2023年3月记录的753,160例死亡病例中,2022年3月至2023年3月期间与脓毒症相关的死亡率出现了显著下降趋势,这与奥密克戎变种的激增相吻合。第一年、第二年和第三年的超额死亡率分别为每百万人170.6例(95%置信区间:168.2 - 172.6)、每百万人167.5例(95%置信区间:163.6 - 170.9)和每百万人73.3例(95%置信区间:69.4 - 76.6)。在所有年龄亚组中均观察到与脓毒症相关的死亡率增加,与中青年死者相比,85岁及以上人群的增加最为显著。在种族/族裔、性别亚组和地理区域之间也观察到了差异。本研究强调了当前应对SARS-CoV-2在社区长期传播的政策和预防措施的有效性。