Evidence map›Paper›PMID 41257787›Full record

ArticleBMC public health2025

Hospital readmission rates and factors due to COVID-19 reinfections: a registry-based cohort study in Brazil (2020-2022).

Ranna Kíssia Alves das Neves, Leonardo Soares Bastos, Daniel Antunes Maciel Villela, Marcelo Ferreira da Costa Gomes, Luiz Max Carvalho, Antonio Guilherme Fonseca Pacheco

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ranna Kíssia Alves das NevesNational School of Public Health, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil. rannaneves@gmail.com.
Leonardo Soares BastosScientific Computing Program, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Daniel Antunes Maciel VillelaScientific Computing Program, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Marcelo Ferreira da Costa GomesScientific Computing Program, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Luiz Max CarvalhoSchool of Applied Mathematics, Fundação Getulio Vargas (FGV), Rio de Janeiro, Brazil.
Antonio Guilherme Fonseca PachecoScientific Computing Program, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 vaccination emerged as a key strategy to reduce disease severity and curb the pandemic's spread, proving crucial in preventing complications and hospitalizations. Despite its positive impact, hospital readmissions due to COVID-19 reinfections have been observed, influenced by emerging variants and individual clinical and demographic characteristics. Given the limited evidence on such readmissions, studies based on representative samples are essential to better understand the associated factors. This study aims to analyze the role of vaccination, identify clinical and demographic characteristics associated with readmissions due to COVID-19 reinfections, and estimate the annual readmission rate in Brazil from 2020 to 2022.

methodsThis nationwide cohort study included hospitalized individuals reported in the National Influenza Surveillance System with confirmed COVID-19 or unspecified Severe Acute Respiratory Infection (SARI) diagnoses, encompassing approximately 1.9 million Brazilians from 2020 to 2022. Demographic and clinical variables from the first hospitalization and readmission were included, alongside a time-varying ecological vaccination variable. Fine and Gray's proportional subdistribution hazards model, accounting for death as a competing event, was used to assess predictors of hospital readmission. Results were expressed as hazard ratios (HR) with 95% confidence intervals.

resultsThe analysis indicated that the vaccination period following 80% first-dose coverage (from December 19, 2021, onward) showed a protective effect against readmission. After adjusting for multiple variables, this protective effect became evident, with a 13% reduction in the risk of readmission in the post-vaccination period compared to the pre-vaccination period (HR: 0.87; 95% CI: 0.85-0.89). In contrast, factors such as female sex, age 60 years or older, and the presence of comorbidities were associated with an increased risk of readmission.

conclusionThe findings reinforce the critical role of COVID-19 vaccination as a fundamental strategy for reducing reinfections and readmissions. Despite viral mutations, immunization stands out as a significant contributor to population protection.

Indexed as

COVID-19Patient ReadmissionAdolescentAdultAgedBrazilChildCohort StudiesCOVID-19 VaccinesFemaleHumansMaleMiddle AgedRegistriesRisk FactorsVaccinationCOVID-19 VaccinesAssociated factorsCOVID-19ReadmissionReinfection

Identifiers

PMID41257787
PMCPMC12628815

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Registered trials

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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.