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Observational Study
. 2024 Nov;39(14):2649-2661.
doi: 10.1007/s11606-024-08856-x. Epub 2024 Jun 27.

Analysis of Clinical Criteria for Discharge Among Patients Hospitalized for COVID-19: Development and Validation of a Risk Prediction Model

Affiliations
Observational Study

Analysis of Clinical Criteria for Discharge Among Patients Hospitalized for COVID-19: Development and Validation of a Risk Prediction Model

Jeffrey L Schnipper et al. J Gen Intern Med. 2024 Nov.

Abstract

Background: Patients hospitalized with COVID-19 can clinically deteriorate after a period of initial stability, making optimal timing of discharge a clinical and operational challenge.

Objective: To determine risks for post-discharge readmission and death among patients hospitalized with COVID-19.

Design: Multicenter retrospective observational cohort study, 2020-2021, with 30-day follow-up.

Participants: Adults admitted for care of COVID-19 respiratory disease between March 2, 2020, and February 11, 2021, to one of 180 US hospitals affiliated with the HCA Healthcare system.

Main measures: Readmission to or death at an HCA hospital within 30 days of discharge was assessed. The area under the receiver operating characteristic curve (AUC) was calculated using an internal validation set (33% of the HCA cohort), and external validation was performed using similar data from six academic centers associated with a hospital medicine research network (HOMERuN).

Key results: The final HCA cohort included 62,195 patients (mean age 61.9 years, 51.9% male), of whom 4704 (7.6%) were readmitted or died within 30 days of discharge. Independent risk factors for death or readmission included fever within 72 h of discharge; tachypnea, tachycardia, or lack of improvement in oxygen requirement in the last 24 h; lymphopenia or thrombocytopenia at the time of discharge; being ≤ 7 days since first positive test for SARS-CoV-2; HOSPITAL readmission risk score ≥ 5; and several comorbidities. Inpatient treatment with remdesivir or anticoagulation were associated with lower odds. The model's AUC for the internal validation set was 0.73 (95% CI 0.71-0.74) and 0.66 (95% CI 0.64 to 0.67) for the external validation set.

Conclusions: This large retrospective study identified several factors associated with post-discharge readmission or death in models which performed with good discrimination. Patients 7 or fewer days since test positivity and who demonstrate potentially reversible risk factors may benefit from delaying discharge until those risk factors resolve.

Keywords: COVID-19; hospital readmission; risk assessment.

PubMed Disclaimer

Conflict of interest statement

HCA Healthcare provided the data for this study. The Gordon and Betty Moore Foundation provided funding for a study of diagnostic errors in hospitalized patients under investigation for COVID-19 and for a HOMERuN COVID Collaborative.

Figures

Figure 1
Figure 1
Study flow diagram.
Figure 2
Figure 2
a Model calibration plot for internal validation cohort. b Receiver operating characteristic (ROC) curve for internal validation cohort.

References

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