Evidence map›Paper›PMID 39442138›Full record

ArticleArquivos brasileiros de cardiologia2024

Predictive Factors for Bleeding Risk in Patients Undergoing Valvular Surgery.

Alef de Carvalho Vieira, Renato Tambellini Arnoni, Ana Beatriz Silva Barbosa, Attila Santos Berriel, Rafael Guimarães Vianna, Mario Issa

Abstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alef de Carvalho VieiraInstituto Dante Pazzanese de Cardiologia, São Paulo, SP - Brasil.ORCID 0009-0007-8228-6493
Renato Tambellini ArnoniInstituto Dante Pazzanese de Cardiologia, São Paulo, SP - Brasil.ORCID 0000-0002-4623-7834
Ana Beatriz Silva BarbosaInstituto Dante Pazzanese de Cardiologia, São Paulo, SP - Brasil.
Attila Santos BerrielInstituto Dante Pazzanese de Cardiologia, São Paulo, SP - Brasil.
Rafael Guimarães ViannaInstituto Dante Pazzanese de Cardiologia, São Paulo, SP - Brasil.
Mario IssaInstituto Dante Pazzanese de Cardiologia, São Paulo, SP - Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe postoperative period of heart valve surgery is challenging due to the risk of bleeding, leading to complications and increased morbidity and mortality.

objectiveTo develop a risk score to predict bleeding in patients after valve surgery.

methodsRetrospective study of patients operated on between 2021 and 2022. Patients with major bleeding were selected based on the BARC and Bojar criteria. A logistic regression analysis was performed for factors related to bleeding and a nomogram of scores was created. For statistical significance, p<0.05 and a 95% confidence interval were considered. The study was approved by the CEP.

results525 patients were analyzed, with a mean age of 56 years and a predominance of females. The most common valve disease was mitral insufficiency, 8.8% had increased bleeding and 4.3% had surgical reoperations. The variables with statistical significance were tricuspid insufficiency (OR 3.31, p < 0.001), chronic kidney disease/acute kidney injury (OR 2.97, p = 0.006), preoperative hemoglobin (OR 0.73, p < 0.001), reoperations (OR 2, 5, p = 0.003), cardiopulmonary bypass (CPB) time (OR 1.12, p < 0.001), 2-valve approach OR of 2.23 (p = 0.013), use of packed red blood cells OR of 2.8 (p = 0.001). In the multiple model, tricuspid insufficiency, CPB time and preoperative hemoglobin reached statistical significance.

conclusionCPB time, preoperative hemoglobin and tricuspid insufficiency were independently associated with postoperative bleeding. The proposed scale is plausible and can help predict the risk of bleeding.

Indexed as

Heart Valve DiseasesPostoperative HemorrhageAdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedReoperationRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID39442138
PMCPMC11634210

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