Evidence map›Paper›PMID 40105584›Full record

ArticleArquivos brasileiros de cardiologia2025

Preoperative Predictors of Hospital Readmission within 5 Years Following CABG: Cohort Analysis of the REPLICCAR II Database.

Carlos Alberto Sancio Junior, Fabiane Letícia de Freitas, Gabrielle Barbosa Borgomoni, Daniella de Lima Pes, Pedro Horigoshi Reis, Pedro Gabriel Melo de Barros E Silva, Marcelo Arruda Nakazone, Marcos Gradim Tiveron, Valquiria Pelisser Campagnucci, Luiz Augusto Lisboa and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Carlos Alberto Sancio JuniorHospital Santa Rita de Cássia, Vitoria, ES - Brasil.
Fabiane Letícia de FreitasInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil.ORCID 0000-0002-3600-0200
Gabrielle Barbosa BorgomoniInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil.ORCID 0000-0002-9243-7407
Daniella de Lima PesInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil.
Pedro Horigoshi ReisInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil.
Pedro Gabriel Melo de Barros E SilvaHospital Samaritano Paulista, São Paulo, SP - Brasil.ORCID 0000-0003-1940-4470
Marcelo Arruda NakazoneFaculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP - Brasil.ORCID 0000-0002-0449-7056
Marcos Gradim TiveronIrmandade da Santa Casa de Misericórdia de Marília, Marilia, SP - Brasil.
Valquiria Pelisser CampagnucciFaculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, SP - Brasil.
Luiz Augusto LisboaInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil.ORCID 0000-0002-2137-0604
Luís Alberto Oliveira DallanInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil.
Fabio Biscegli JateneInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil.ORCID 0000-0001-6175-5595
Omar Asdrúbal Vilca MejiaInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil.ORCID 0000-0002-1635-4984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReducing hospital readmissions following coronary artery bypass grafting (CABG) surgeries is essential to optimizing medium- and long-term patient outcomes.

objectiveTo analyze preoperative predictors associated with all-cause and cardiac readmissions within 5 years following CABG.

methodsWe analyzed 1,387 patients who underwent CABG between June 2017 and July 2019 using data from the multicenter REPLICCAR II registry. Follow-up was carried out by telephone interviews using a questionnaire structured in the REDCap platform. Statistical analysis included univariate and multivariate methods, with Cox regression and internal validation through calibration and discrimination tests. A significance level of 5% was applied.

resultsThe cumulative incidence of all-cause readmission was 27.69%, with a mean follow-up of 4.3 years and a mean time to readmission of 2.4 years. Multivariate regression analysis indicated the following predictors of higher all-cause readmission risk: lower body mass index (HR=0.97, p=0.032), history of myocardial infarction (HR=1.27, p=0.024), diabetes mellitus (HR=1.35, p=0.004), renal failure (HR=1.62, p=0.004), and higher STS score (HR=1.22, p<0.001). A moderate correlation was observed between readmission and mortality (Rho=0.55).

conclusionsThis analysis demonstrates that lower body mass index, history of myocardial infarction, diabetes mellitus, renal failure, and elevated STS scores are significant predictors of increased hospital readmission risk following CABG.

Indexed as

Coronary Artery BypassPatient ReadmissionAgedBody Mass IndexFemaleHumansMaleMiddle AgedPostoperative ComplicationsPreoperative PeriodRegistriesRisk AssessmentRisk FactorsTime Factors

Identifiers

PMID40105584
PMCPMC12080614

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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.