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Tytuł:
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Predictors of Hospital Readmission within 30 Days after Coronary Artery Bypass Grafting: Data Analysis of 2,272 Brazilian Patients.
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Autorzy:
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Chiorino CDRN; Educação Corporativa da Associação Beneficência Portuguesa de São Paulo, São Paulo, Brazil.; Programa de Pós-Graduação em Enfermagem, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.
Santos VB; Departamento de Enfermagem Clínica e Cirúrgica, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.
Lopes JL; Departamento de Enfermagem Clínica e Cirúrgica, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.
Lopes CT; Programa de Pós-Graduação em Enfermagem, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.; Departamento de Enfermagem Clínica e Cirúrgica, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.
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Źródło:
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Brazilian journal of cardiovascular surgery [Braz J Cardiovasc Surg] 2020 Dec 01; Vol. 35 (6), pp. 884-890. Date of Electronic Publication: 2020 Dec 01.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: São Paulo, SP, Brasil : Brazilian Society of Cardiovascular Surgery, [2015]-
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MeSH Terms:
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Coronary Artery Bypass*
Data Analysis*
Patient Readmission*
Brazil ; Humans ; Male ; Postoperative Complications/epidemiology ; Retrospective Studies ; Risk Factors ; Treatment Outcome ; United States
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References:
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Contributed Indexing:
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Keywords: Myocardial Revascularization; Patient Readmission; Postoperative Period; Risk Factors
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Entry Date(s):
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Date Created: 20201211 Date Completed: 20210204 Latest Revision: 20210204
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Update Code:
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20240104
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PubMed Central ID:
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PMC7731841
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DOI:
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10.21470/1678-9741-2020-0266
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PMID:
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33306313
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Introduction: In order to reduce readmission rates after coronary artery bypass grafting (CABG), its predictors should be known in different contexts. The objective of this study was to identify predictive factors of hospital readmission within 30 days after CABG in a Brazilian center.
Methods: A secondary analysis of an electronic database of patients submitted to isolated CABG was performed. The relationship between readmission within 30 days and demographic, anthropometric, clinical, and surgery-related characteristics was investigated by univariate analyses. Predictors were identified by multiple logistic regression.
Results: Data from 2,272 patients were included, with an incidence of readmission of 8.6%. The predictors of readmission were brown skin color (Beta=1.613; 95% confidence interval [CI] 1.047-2.458; P=0.030), African-American ethnicity (Beta=0.136; 95% CI 0.019-0.988; P=0.049), chronic kidney disease (Beta=2.214; 95% CI 1.269-3.865; P=0.005), postoperative use of blood products (Beta=1.515; 95% CI 1.101-2.086; P=0.011), chronic obstructive pulmonary disease (Beta=2.095; 95% CI 1.284-3.419; P=0.003), and use of acetylsalicylic acid (Beta=1.418; 95% CI 1.000-2.011; P=0.05). Preoperative antibiotic prophylaxis (Beta=0.742; 95% CI 0.5471.007; P=0.055) was marginally significant.
Conclusion: The predictors identified may support a closer postoperative follow-up and individualized planning for a safe discharge.