Evidence map›Paper›PMID 39838255›Full record

ArticleInfectious diseases and therapy2025

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

Marta Colaneri, Marta Canuti, Ginevra Torrigiani, Lucia Dall'Olio, Chiara Bobbio, Sante L Baldi, Alessandro Nobili, Massimo Puoti, Giulia Marchetti, Simone Piva and 10 more

Abstract read
In one paragraph

Article in Infectious diseases and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Marta Colaneri *Department of Biomedical and Clinical Sciences, Infectious and Tropical Diseases Operational Unit ASST Fatebenefratelli Sacco, "L. Sacco" University Hospital, Via Giovanni Battista Grassi, 20157, Milan, Italy. marta.colaneri@gmail.com.ORCID http://orcid.org/0000-0002-5939-9576
Marta Canuti *Department of Veterinary and Animal Sciences, University of Copenhagen, Stigbøjlen 4, 2000, Frederiksberg, Denmark.
Ginevra TorrigianiDepartment of Statistics and Quantitative Methods, Università degli Studi di Milano-Bicocca, Via Bicocca Degli Arcimboldi, 8, 20126, Milan, Italy.
Lucia Dall'OlioCentre for Multidisciplinary Research in Health Science (MACH), University of Milan, Via Pace, 9, 20122, Milan, Italy.
Chiara BobbioDepartment of Pathophysiology and Transplantation, University of Milan, Via Francesco Sforza, 35, 20122, Milan, Italy.
Sante L BaldiCentre for Multidisciplinary Research in Health Science (MACH), University of Milan, Via Pace, 9, 20122, Milan, Italy.
Alessandro NobiliLaboratory for Quality Assessment of Geriatric Therapies and Services, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri, 2, 20156, Milan, Italy.
Massimo PuotiDepartment of Infectious Diseases, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.
Giulia MarchettiClinic of Infectious Diseases, Department of Health Sciences, ASST Santi Paolo E Carlo, University of Milan, Via Antonio di Rudinì, 8, 20142, Milan, Italy.
Simone PivaDepartment of Emergency, ASST Spedali Civili University Hospital, Piazzale Ospedali Civili, 1, 25123, Brescia, Italy.
Pierluigi PlebaniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Via Ponzio 34/5, 20133, Milan, Italy.
Mario RaviglioneCentre for Multidisciplinary Research in Health Science (MACH), University of Milan, Via Pace, 9, 20122, Milan, Italy.
Andrea GoriDepartment of Biomedical and Clinical Sciences, Infectious and Tropical Diseases Operational Unit ASST Fatebenefratelli Sacco, "L. Sacco" University Hospital, Via Giovanni Battista Grassi, 20157, Milan, Italy.
Danilo CeredaDirectorate General for Health, Lombardy Region, 00144, Milan, Italy.
Olivia LeoniDirectorate General for Health, Lombardy Region, 00144, Milan, Italy.
Ida FortinoDirectorate General for Health, Lombardy Region, 00144, Milan, Italy.
Maria Luisa Ojeda-FernandezLaboratory of Cardiovascular Prevention, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri, 2, 20156, Milan, Italy.
Marta BavieraLaboratory of Cardiovascular Prevention, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri, 2, 20156, Milan, Italy.
Mauro TettamantiLaboratory of Geriatric Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri, 2, 20156, Milan, Italy.
Alessandra BanderaDepartment of Pathophysiology and Transplantation, University of Milan, Via Francesco Sforza, 35, 20122, Milan, Italy.

Funding

Fondazione Cariplo 2021-4236
6 · The paper itself

Abstract

introductionPredictors 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.

methodsA 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.

resultsOut 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.

conclusionsThis 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.

Indexed as

Administrative databasesCOVID-19Regional healthRehospitalizationSARS-CoV-2

Identifiers

PMID39838255
PMCPMC11829856

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.