Evidence map›Paper›PMID 40152293›Full record

ArticleBrazilian journal of cardiovascular surgery2025

Predictors of Postoperative Hospital-Acquired Infection and Mortality Following Cardiac Surgery in a Low-Income Country: A Retrospective Cohort Study.

Camila Sales Fagundes, Diego Chemello, Luana Quintana Marchesan, Vitória Carolina Kohlrausch, Rafael Fortes Locateli, Eduardo Porto Santos, Isabella Klafke Brixner, Valéria Maria Limberger Bayer, Mateus Diniz Marques

Erratum issuedAbstract read
In one paragraph

Article in Brazilian journal of cardiovascular surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Predictive Value of PreoperativeInternational journal of molecular sciences · 2026
    Article
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Camila Sales FagundesDepartment of Clinical Medicine, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.ORCID 0000-0002-6895-0702
Diego ChemelloDepartment of Clinical Medicine, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Luana Quintana MarchesanDepartment of Clinical Medicine, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Vitória Carolina KohlrauschDepartment of Clinical Medicine, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Rafael Fortes LocateliDepartment of Clinical Medicine, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Eduardo Porto SantosDepartment of Clinical Medicine, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Isabella Klafke BrixnerDepartment of Clinical Medicine, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Valéria Maria Limberger BayerDepartment of Clinical Medicine, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Mateus Diniz MarquesDepartment of Clinical Medicine, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecognizing the risk factors for postoperative hospital-acquired infection and mortality is crucial for better outcomes. We aimed to determine the risk predictors for postoperative hospital-acquired infection and death following cardiac surgery.

methodsThis is a retrospective cohort study that included 880 consecutive adult patients who underwent cardiac surgery between 2015 and 2021. Multivariable logistic regression was performed to assess the predictors of postoperative hospital-acquired infection and mortality.

resultsPatients who developed postoperative hospital-acquired infection had higher values on European System for Cardiac Operative Risk Evaluation score (4.01% vs. 2.51%; P=0.001), as well as longer hospital preoperative stay (9.44 vs. 8.28 days; P=0.049) and hospital length of stay (28.41 vs. 16.16 days; P<0.001). After multivariable analysis, predictors of postoperative hospital-acquired infection were longer hospital preoperative stay (odds ratio 1.024; 95% confidence interval 1.005-1.044; P=0.009), higher body mass index (odds ratio 1.043; 95% confidence interval 1.008-1.079; P=0.015), and longer extracorporeal circulation time (odds ratio 1.007; 95% confidence interval 1.003-1.012; P<0.001). Both longer extracorporeal circulations time and postoperative hospital-acquired infection were significantly associated with higher mortality before hospital discharge (odds ratio 1.012; 95% confidence interval 1.006-1.019; P<0.001; and odds ratio 2.418; 95% confidence interval 1.385-4.233; P=0.001, respectively).

conclusionExtended preoperative hospitalization, body mass index, and extracorporeal circulation time are correlated with heightened postoperative hospital-acquired infection rates. Moreover, longer extracorporeal circulation time and postoperative hospital-acquired infection incidence emerged as significant predictors of mortality following cardiac surgery.

Indexed as

Cardiac Surgical ProceduresCross InfectionPostoperative ComplicationsAdultAgedBrazilDeveloping CountriesFemaleHospital MortalityHumansLength of StayLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk AssessmentCardiac Surgical ProceduresHospitalization InfectionMortality

Identifiers

PMID40152293
PMCPMC11951934

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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.