tetano
Editor, Senior Moderator
Am J Respir Crit Care Med
. 2021 Apr 23.
doi: 10.1164/rccm.202012-4547OC. Online ahead of print.
Hospital-Level Variation in Death for Critically Ill Patients with COVID-19
Matthew M Churpek[SUP] 1 [/SUP], Shruti Gupta[SUP] 2 [/SUP], Alexandra B Spicer[SUP] 3 [/SUP], William F Parker[SUP] 4 [/SUP], John Fahrenbach[SUP] 4 [/SUP], Samantha K Brenner[SUP] 5 [/SUP], David E Leaf[SUP] 6 [/SUP], STOP-COVID Investigators
Affiliations
Abstract
Rationale: Variation in hospital mortality has been described for coronavirus disease 2019 (COVID-19), but the factors that explain these differences remain unclear.
Objective: Our objective was to utilize a large, nationally representative dataset 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 intensive care units with COVID-19 at 70 United States hospitals between March and June 2020. The primary outcome was 28-day mortality. We examined patient-level and hospital-level variables. Mixed-effects logistic regression was used to identify factors associated with interhospital variation. The median odds ratio (OR) was calculated to compare outcomes in higher- vs. lower-mortality hospitals. A gradient boosted machine algorithm was developed for individual-level mortality models.
Measurements and main results: A total of 4,019 patients were included, 1537 (38%) of whom died by 28 days. Mortality varied considerably across hospitals (0-82%). After adjustment for patient- and hospital-level domains, interhospital variation was attenuated (OR decline from 2.06 [95% 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: acute physiology (49%), demographics and comorbidities (20%), socioeconomic status (12%), strain (9%), hospital quality (8%), and treatments (3%).
Conclusion: 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. This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: COVID-19; Critical Care; Health Disparities; Intensive Care Unit.
. 2021 Apr 23.
doi: 10.1164/rccm.202012-4547OC. Online ahead of print.
Hospital-Level Variation in Death for Critically Ill Patients with COVID-19
Matthew M Churpek[SUP] 1 [/SUP], Shruti Gupta[SUP] 2 [/SUP], Alexandra B Spicer[SUP] 3 [/SUP], William F Parker[SUP] 4 [/SUP], John Fahrenbach[SUP] 4 [/SUP], Samantha K Brenner[SUP] 5 [/SUP], David E Leaf[SUP] 6 [/SUP], STOP-COVID Investigators
Affiliations
- PMID: 33891529
- DOI: 10.1164/rccm.202012-4547OC
Abstract
Rationale: Variation in hospital mortality has been described for coronavirus disease 2019 (COVID-19), but the factors that explain these differences remain unclear.
Objective: Our objective was to utilize a large, nationally representative dataset 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 intensive care units with COVID-19 at 70 United States hospitals between March and June 2020. The primary outcome was 28-day mortality. We examined patient-level and hospital-level variables. Mixed-effects logistic regression was used to identify factors associated with interhospital variation. The median odds ratio (OR) was calculated to compare outcomes in higher- vs. lower-mortality hospitals. A gradient boosted machine algorithm was developed for individual-level mortality models.
Measurements and main results: A total of 4,019 patients were included, 1537 (38%) of whom died by 28 days. Mortality varied considerably across hospitals (0-82%). After adjustment for patient- and hospital-level domains, interhospital variation was attenuated (OR decline from 2.06 [95% 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: acute physiology (49%), demographics and comorbidities (20%), socioeconomic status (12%), strain (9%), hospital quality (8%), and treatments (3%).
Conclusion: 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. This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: COVID-19; Critical Care; Health Disparities; Intensive Care Unit.