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Infect Dis Ther . Predictors of COVID-19 Readmission Among Patients Previously Hospitalized for SARS-CoV-2

tetano

Editor, Senior Moderator
Infect Dis Ther


. 2025 Jan 21.
doi: 10.1007/s40121-024-01107-w. Online ahead of print. Predictors of COVID-19 Readmission Among Patients Previously Hospitalized for SARS-CoV-2

Marta Colaneri[SUP] #[/SUP][SUP] 1 [/SUP], Marta Canuti[SUP] #[/SUP][SUP] 2 [/SUP], Ginevra Torrigiani[SUP] 3 4 [/SUP], Lucia Dall'Olio[SUP] 5 [/SUP], Chiara Bobbio[SUP] 6 [/SUP], Sante L Baldi[SUP] 5 [/SUP], Alessandro Nobili[SUP] 7 [/SUP], Massimo Puoti[SUP] 8 [/SUP], Giulia Marchetti[SUP] 9 [/SUP], Simone Piva[SUP] 10 [/SUP], Pierluigi Plebani[SUP] 11 [/SUP], Mario Raviglione[SUP] 5 [/SUP], Andrea Gori[SUP] 12 [/SUP], Danilo Cereda[SUP] 13 [/SUP], Olivia Leoni[SUP] 13 [/SUP], Ida Fortino[SUP] 13 [/SUP], Maria Luisa Ojeda-Fernandez[SUP] 4 [/SUP], Marta Baviera[SUP] 4 [/SUP], Mauro Tettamanti[SUP] 14 [/SUP], Alessandra Bandera[SUP] 6 15 [/SUP]



Affiliations
Abstract

Introduction: Predictors of coronavirus disease 2019 (COVID-19)-related rehospitalization remain underexplored. This study aims to identify the main risk factors associated with rehospitalizations due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfections among residents of Lombardy, northern Italy.
Methods: A retrospective observational study was conducted using two linked administrative databases covering demographic data, comorbidities, hospital records, and COVID-19 data of Lombardy residents. The study population included patients hospitalized for COVID-19 between February 2020 and August 2021. Rehospitalization was defined as a second COVID-19-related hospitalization occurring at least 90 days after the first admission. The Fine-Gray subdistribution hazard model was used to identify risk factors, accounting for death as a competing risk.
Results: Out of 98,369 patients hospitalized for COVID-19 between February 1, 2020 and August 31, 2021, 72,593 were alive 90 days after admission and 610 of these (0.8%) were rehospitalized. A higher rehospitalization risk was observed in older male patients with multiple comorbidities. Renal failure, liver disease, and use of diuretics were significantly associated with rehospitalization risk, while female biological sex and the use of lipid-lowering drugs were associated with a lower risk.
Conclusions: This is the first study conducted on regional administrative databases to investigate COVID-19 rehospitalizations. Through the availability of a huge cohort, it provides a groundwork for optimizing care for individuals at higher risk for COVID-19-related rehospitalizations. It underlines the need for patient-management approaches that extend beyond the initial recovery. This stresses the importance of ongoing monitoring and personalized interventions for those at heightened risk not only of SARS-CoV-2 reinfection but also related rehospitalizations.

Keywords: Administrative databases; COVID-19; Regional health; Rehospitalization; SARS-CoV-2.

 
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