ArticleScientific reports2021
Risk-factors for re-admission and outcome of patients hospitalized with confirmed COVID-19.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Characteristics, risk factors, and outcomes associated with readmission in COVID-19 patients: A systematic review and meta-analysis.The American journal of emergency medicine · 2022Pooled it
- Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission Studies.Frontiers in public health · 2022Pooled it
- The effect of Fingolimod on patients with moderate to severe COVID-19.Pharmacology research & perspectives · 2023Trial
- Predictors of unplanned 30-day hospital readmission: a retrospective cohort study in north-east Italy.BMJ open · 2026Article
- Article
- Clinical Associations with Hospital Escalation Among COVID-19 Patients Receiving Remdesivir in a Hospital-at-Home Service: A Real-World Cohort Study.Journal of clinical medicine · 2025Article
- Predictors of COVID-19 Readmission Among Patients Previously Hospitalized for SARS-CoV-2.Infectious diseases and therapy · 2025Article
- Clinical Characteristics and Outcome of Readmitted Adult Patients With Acute COVID-19 Infection Within 30 Days of Their Hospital Discharge.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025Article
- Article
- Screening for frequent hospitalization risk among community-dwelling older adult between 2016 and 2023: machine learning-driven item selection, scoring system development, and prospective validation.Frontiers in public health · 2024Article
- Re-Admission of COVID-19 Patients Hospitalized with Omicron Variant-A Retrospective Cohort Study.Journal of clinical medicine · 2022Article
- Microbiological and Clinical Findings of SARS-CoV-2 Infection after 2 Years of Pandemic: From Lung to Gut Microbiota.Diagnostics (Basel, Switzerland) · 2022Review
- SARS-CoV-2 does not infect pigs, but this has to be verified regularly.Xenotransplantation · 2022Review
- Predictive modeling for COVID-19 readmission risk using machine learning algorithms.BMC medical informatics and decision making · 2022Article
- Predicting hospital readmission risk in patients with COVID-19: A machine learning approach.Informatics in medicine unlocked · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Burden of COVID-19 on Hospitals across the globe is enormous and has clinical and economic implications. In this retrospective study including consecutive adult patients with confirmed SARS-CoV-2 who were admitted between 3/2020 and 30/9/20, we aimed to identify post-discharge outcomes and risk factors for re-admission among COVID-19 hospitalized patients. Mortality and re-admissions were documented for a median post discharge follow up of 59 days (interquartile range 28,161). Univariate and multivariate analyses of risk factors for re-admission were performed. Overall, 618 hospitalized COVID-19 patients were included. Of the 544 patient who were discharged, 10 patients (1.83%) died following discharge and 50 patients (9.2%) were re-admitted. Median time to re-admission was 7 days (interquartile range 3, 24). Oxygen saturation or treatment prior to discharge were not associated with re-admissions. Risk factors for re-admission in multivariate analysis included solid organ transplantation (hazard ratio [HR] 3.37, 95% confidence interval [CI] 2.73-7.5, p = 0.0028) and higher Charlson comorbidity index (HR 1.34, 95% CI 1.23-1.46, p < 0.0001). Mean age of post discharge mortality cases was 85.0 (SD 9.98), 80% of them had cognitive decline or needed help in ADL at baseline. In conclusion, re-admission rates of hospitalized COVID-19 are fairly moderate. Predictors of re-admission are non-modifiable, including baseline comorbidities, rather than COVID-19 severity or treatment.
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