Related Experiment Video
Updated: Nov 21, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Assessment of thirty-day readmission rate, timing, causes and predictors after hospitalization with COVID-19
1From the, Division of Cardiology, Department of Medicine, New York-Presbyterian Queens, Flushing, NY, USA.
Insights
Early readmission after coronavirus disease 2019 (COVID-19) hospitalization is common, with 4.5% of patients readmitted within 30 days. Most readmissions were due to COVID-19 complications, and a significant mortality rate was observed during readmission.
Area of Science:
- Infectious Diseases
- Pulmonology
- Critical Care Medicine
Background:
- Limited data exist on the characteristics of 30-day readmissions following hospitalization for coronavirus disease 2019 (COVID-19).
- Understanding readmission patterns is crucial for improving post-discharge care for COVID-19 survivors.
Purpose of the Study:
- To investigate the rate, timing, causes, predictors, and outcomes of 30-day readmissions after COVID-19 hospitalization.
- To identify factors associated with increased risk of readmission in COVID-19 patients.
Main Methods:
- Retrospective observational study including 1062 patients hospitalized with COVID-19 and discharged alive.
- Multivariable logistic regression and restricted cubic spline functions were used to analyze predictors of 30-day readmission.
Main Results:
- A total of 4.5% of patients were readmitted within 30 days, with a median time to readmission of 5 days.
- Hypoxic respiratory failure was the most common reason for readmission (68.8%), followed by thromboembolism (12.5%) and sepsis (6.3%).
- Elevated peak serum creatinine (≥1.29 mg/dL) during initial hospitalization was a significant predictor of 30-day readmission (aOR: 2.41).
Conclusions:
- COVID-19 survivors experience a notable rate of early readmission, primarily due to COVID-19-related morbidities.
- The mortality rate among readmitted COVID-19 patients was substantial (22.9%), highlighting the severity of post-discharge complications.
Background:
There are limited data on the characteristics of 30-day readmission after hospitalization with coronavirus disease 2019 (COVID-19).
Objectives:
To examine the rate, timing, causes, predictors and outcomes of 30-day readmission after COVID-19 hospitalization.
Methods:
From 13 March to 9 April 2020, all patients hospitalized with COVID-19 and discharged alive were included in this retrospective observational study. Multivariable logistic regression was used to identify the predictors of 30-day readmission, and a restricted cubic spline function was utilized to assess the linearity of the association between continuous predictors and 30-day readmission.
Results:
A total of 1062 patients were included in the analysis, with a median follow-up time of 62 days. The mean age of patients was 56.5 years, and 40.5% were women. At the end of the study, a total of 48 (4.5%) patients were readmitted within 30 days of discharge, and a median time to readmission was 5 days. The most common primary diagnosis of 30-day readmission was a hypoxic respiratory failure (68.8%) followed by thromboembolism (12.5%) and sepsis (6.3%). The patients with a peak serum creatinine level of ≥1.29 mg/dL during the index hospitalization, compared to those with a creatinine of <1.29 mg/dL, had 2.4 times increased risk of 30-day readmission (adjusted odds ratio: 2.41; 95% CI: 1.23-4.74). The mortality rate during the readmission was 22.9%.
Conclusion:
With 4.5% of the thirty-day readmission rate, COVID-19 survivors were readmitted early after hospital discharge, mainly due to morbidities of COVID-19. One in five readmitted COVID-19 survivors died during their readmission.
More Related Videos
06:52Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
Published on: September 30, 2020
05:41Left Anterior Descending Coronary Artery Ligation for Ischemia-Reperfusion Research: Model Improvement via Technical Modifications and Quality Control
Published on: December 16, 2022
Related Concept Videos
Pneumonia I: Introduction
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
Acute Coronary Syndrome IV: Interprofessional Care
Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies.
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Pneumonia III: Complications and Assessment
Acute Coronary Syndrome III: Diagnostic Studies