Jiang H Joanna, Henke Rachel M, Fingar Kathryn R, Liang Lan, Agniel Denis
Agency for Healthcare Research and Quality, Rockville, Maryland.
Now with Lewin Group, Boston, Massachusetts.
JAMA Netw Open. 2024 Mar 4;7(3):e241838. doi: 10.1001/jamanetworkopen.2024.1838.
COVID-19 pandemic-related disruptions to the health care system may have resulted in increased mortality for patients with time-sensitive conditions.
To examine whether in-hospital mortality in hospitalizations not related to COVID-19 (non-COVID-19 stays) for time-sensitive conditions changed during the pandemic and how it varied by hospital urban vs rural location.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study was an interrupted time-series analysis to assess in-hospital mortality during the COVID-19 pandemic (March 8, 2020, to December 31, 2021) compared with the prepandemic period (January 1, 2017, to March 7, 2020) overall, by month, and by community COVID-19 transmission level for adult discharges from 3813 US hospitals in the State Inpatient Databases for the Healthcare Cost and Utilization Project.
The COVID-19 pandemic.
The main outcome measure was in-hospital mortality among non-COVID-19 stays for 6 time-sensitive medical conditions: acute myocardial infarction, hip fracture, gastrointestinal hemorrhage, pneumonia, sepsis, and stroke. Entropy weights were used to align patient characteristics in the 2 time periods by age, sex, and comorbidities.
There were 18 601 925 hospitalizations; 50.3% of patients were male, 38.5% were aged 18 to 64 years, 45.0% were aged 65 to 84 years, and 16.4% were 85 years or older for the selected time-sensitive medical conditions from 2017 through 2021. The odds of in-hospital mortality for sepsis increased 27% from the prepandemic to the pandemic periods at urban hospitals (odds ratio [OR], 1.27; 95% CI, 1.25-1.29) and 35% at rural hospitals (OR, 1.35; 95% CI, 1.30-1.40). In-hospital mortality for pneumonia had similar increases at urban (OR, 1.48; 95% CI, 1.42-1.54) and rural (OR, 1.46; 95% CI, 1.36-1.57) hospitals. Increases in mortality for these 2 conditions showed a dose-response association with the community COVID-19 level (low vs high COVID-19 burden) for both rural (sepsis: 22% vs 54%; pneumonia: 30% vs 66%) and urban (sepsis: 16% vs 28%; pneumonia: 34% vs 61%) hospitals. The odds of mortality for acute myocardial infarction increased 9% (OR, 1.09; 95% CI, 1.06-1.12) at urban hospitals and was responsive to the community COVID-19 level. There were significant increases in mortality for hip fracture at rural hospitals (OR, 1.32; 95% CI, 1.14-1.53) and for gastrointestinal hemorrhage at urban hospitals (OR, 1.15; 95% CI, 1.09-1.21). No significant change was found in mortality for stroke overall.
In this cohort study, in-hospital mortality for time-sensitive conditions increased during the COVID-19 pandemic. Mobilizing strategies tailored to the different needs of urban and rural hospitals may help reduce the likelihood of excess deaths during future public health crises.
与2019冠状病毒病大流行相关的医疗系统中断可能导致患有时间敏感性疾病的患者死亡率上升。
研究在大流行期间,因时间敏感性疾病而住院但与2019冠状病毒病无关(非2019冠状病毒病住院)的患者的院内死亡率是否发生变化,以及其如何因医院位于城市还是农村地区而有所不同。
设计、设置和参与者:这项队列研究是一项中断时间序列分析,旨在评估2019冠状病毒病大流行期间(2020年3月8日至2021年12月31日)与大流行前时期(2017年1月1日至2020年3月7日)相比,美国医疗成本和利用项目州住院数据库中3813家医院成年出院患者的总体、按月以及按社区2019冠状病毒病传播水平的院内死亡率。
2019冠状病毒病大流行。
主要结局指标是6种时间敏感性医疗状况的非2019冠状病毒病住院患者的院内死亡率,这些状况包括急性心肌梗死、髋部骨折、胃肠道出血、肺炎、脓毒症和中风。采用熵权法按年龄、性别和合并症对两个时期的患者特征进行匹配。
共有18601925例住院病例;在2017年至2021年选定的时间敏感性医疗状况中,50.3%的患者为男性,38.5%的患者年龄在18至64岁之间,45.0%的患者年龄在65至84岁之间,16.4%的患者年龄在85岁及以上。城市医院脓毒症的院内死亡几率从大流行前到流行期间增加了27%(优势比[OR],1.27;95%置信区间,1.25 - 1.29),农村医院增加了35%(OR,1.35;95%置信区间,1.30 - [1.40])。肺炎的院内死亡率在城市(OR,1.48;95%置信区间,1.42 - 1.54)和农村(OR,1.46;95%置信区间,1.36 - 1.57)医院有类似程度的增加。这两种疾病死亡率的增加在农村(脓毒症:22%对54%;肺炎:30%对66%)和城市(脓毒症:16%对28%;肺炎:34%对61%)医院均呈现出与社区2019冠状病毒病水平(低与高2019冠状病毒病负担)的剂量反应关系。城市医院急性心肌梗死的死亡几率增加了9%(OR,1.09;95%置信区间,1.06 - 1.12),并且对社区2019冠状病毒病水平有反应。农村医院髋部骨折的死亡率(OR,1.32;95%置信区间,1.14 - 1.53)和城市医院胃肠道出血的死亡率(OR,1.15;95%置信区间,1.09 - 1.21)有显著增加。总体而言,中风的死亡率未发现显著变化。
在这项队列研究中,2019冠状病毒病大流行期间,时间敏感性疾病的院内死亡率有所上升。制定针对城市和农村医院不同需求的应对策略,可能有助于降低未来公共卫生危机期间超额死亡的可能性。