Hospital-Level Variation in Death for Critically III Patients with COVID-19

被引:46
作者
Churpek, Matthew M. [1 ]
Gupta, Shruti [2 ]
Spicer, Alexandra B. [1 ]
Parker, William F. [3 ]
Fahrenbach, John [3 ]
Brenner, Samantha K. [4 ,5 ]
Leaf, David E. [2 ]
机构
[1] Univ Wisconsin, Sch Med & Publ Hlth, Div Allergy Pulm & Crit Care Med, 600 Highland Ave, Madison, WI 53726 USA
[2] Brigham & Womens Hosp, Div Renal Med, 75 Francis St, Boston, MA 02115 USA
[3] Univ Chicago, Dept Med, Sect Pulm & Crit Care, 5841 S Maryland Ave, Chicago, IL 60637 USA
[4] Hackensack Meridian Sch Med, Dept Internal Med, Seton Hall, NJ USA
[5] Hackensack Univ Med Ctr, Heart & Vasc Hosp, Hackensack Meridian Hlth, Hackensack, NJ USA
关键词
COVID-19; critical care; ICU; health disparities; CLINICAL-COURSE; ILL PATIENTS; OUTCOMES; HEALTH;
D O I
10.1164/rccm.202012-4547OC
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Rationale: Variation in hospital mortality has been described for coronavirus disease (COVID-19), but the factors that explain these differences remain unclear. Objective: Our objective was to use a large, nationally representative data set of critically ill adults with COVID-19 to determine which factors explain mortality variability. Methods: In this multicenter cohort study, we examined adults hospitalized in ICUs with COVID-19 at 70 U.S. hospitals between March and June 2020. The primary outcome was 28-day mortality. We examined patient-level and hospital-level variables. Mixed-effect logistic regression was used to identify factors associated with interhospital variation. The median odds ratio was calculated to compare outcomes in higher- versus lower-mortality hospitals. A gradient-boosted machine algorithm was developed for individuallevel mortality models. Measurements and Main Results: A total of 4,019 patients were included, 1,537 (38%) of whom died by 28 days. Mortality varied considerably across hospitals (0-82%). After adjustment for patientand hospital-level domains, interhospital variation was attenuated (odds ratio decline from 2.06 [95% confidence interval (CI), 1.73-2.37] to 1.22 [95% CI, 1.00 1.38]), with the greatest changes occurring with adjustment for acute physiology, socioeconomic status, and strain. For individual patients, the relative contribution of each domain to mortality risk was as follows: acute physiology (49%), demographics and comorbidities (20%), socioeconomic status (12%), strain (9%), hospital quality (8%), and treatments (3%). Conclusions: There is considerable interhospital variation in mortality for critically ill patients with COVID-19, which is mostly explained by hospital-level socioeconomic status, strain, and acute physiologic differences. Individual mortality is driven mostly by patient-level factors.
引用
收藏
页码:403 / 411
页数:9
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