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Risk Score Elaboration for Stroke in Cardiac Surgery.
Magedanz, Ellen Hettwer; Guaragna, João Carlos Vieira da Costa; Albuquerque, Luciano Cabral; Wagner, Mario Bernardes; Chieza, Fernanda Lourega; Bueno, Natalia Lamas; Bodanese, Luiz Carlos.
Afiliação
  • Magedanz EH; Cardiology Service, Faculdade de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil.
  • Guaragna JCVDC; Cardiology Service, Faculdade de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil.
  • Albuquerque LC; Cardiology Service, Faculdade de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil.
  • Wagner MB; Cardiology Service, Faculdade de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil.
  • Chieza FL; Cardiology Service, Faculdade de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil.
  • Bueno NL; Cardiology Service, Faculdade de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil.
  • Bodanese LC; Cardiology Service, Faculdade de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil.
Braz J Cardiovasc Surg ; 36(6): 788-795, 2021 12 03.
Article em En | MEDLINE | ID: mdl-34236788
ABSTRACT

INTRODUCTION:

Stroke is a complication that causes considerable morbidity and mortality during the heart surgery postoperative period (incidence 1.3 to 5%; mortality 13 to 41%). Models for assessing the risk of stroke after heart surgery have been proposed, but most of them do not evaluate postoperative morbidity. The aim of this study was to develop a risk score for postoperative stroke in patients who undergo heart surgery with cardiopulmonary bypass.

METHODS:

A cohort study was conducted with data from 4,862 patients who underwent surgery from 1996 to 2016. Logistic regression was used to assess relationships between risk factors and stroke. Data from 3,258 patients were used to construct the model. The model's performance was then validated using data from the remainder of the patients (n=1,604). The model's accuracy was tested using the area under the receiver operating characteristic (ROC) curve.

RESULTS:

The prevalence of stroke during the postoperative period was 3% (n=149); 59% of the patients who exhibited this outcome were male, 51% were aged ≥ 66 years, and 31.5% of the patients died. The variables that remained as independent predictors of the outcome after multivariate analysis were advanced age, urgent/emergency surgery, peripheral arterial occlusive disease, history of cerebrovascular disease, and cardiopulmonary bypass time ≥ 110 minutes. The area under the ROC curve was 0.71 (95% confidence interval 0.66 - 0.75).

CONCLUSION:

We were able to develop a risk score for stroke after heart surgery. This score classifies patients as low, medium, high, or very high risk of a surgery-related stroke.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Procedimentos Cirúrgicos Cardíacos Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: Braz J Cardiovasc Surg Assunto da revista: ANGIOLOGIA / CARDIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Procedimentos Cirúrgicos Cardíacos Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: Braz J Cardiovasc Surg Assunto da revista: ANGIOLOGIA / CARDIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil