Utilization of machine learning to model the effect of blood product transfusion on short-term lung transplant outcomes.

Melnyk, Vladyslav; Xu, Wen; Ryan, John P; Karim, Helmet T; Chan, Ernest G; Mahajan, Aman; Subramaniam, Kathirvel

Melnyk, Vladyslav; Xu, Wen; Ryan, John P; Karim, Helmet T; Chan, Ernest G; Mahajan, Aman; Subramaniam, Kathirvel.

Afiliação

Melnyk V; Department of Anesthesiology, University of Alberta - Royal Alexandra Hospital, Edmonton, AB, Canada.
Xu W; Department of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Ryan JP; Division of Lung Transplantation, Department of Cardiothoracic Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Karim HT; Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Chan EG; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Mahajan A; Division of Lung Transplantation, Department of Cardiothoracic Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Subramaniam K; Department of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Clin Transplant ; 37(6): e14961, 2023 06.

Article em En | MEDLINE | ID: mdl-36912861

Assuntos

Parada Cardíaca; Transplante de Pulmão; Humanos; Resultado do Tratamento; Transfusão de Sangue; Morbidade; Transplante de Pulmão/efeitos adversos; Estudos Retrospectivos

Palavras-chave

blood transfusion; lung transplantation; mechanical circulatory support; morbidity; primary graft dysfunction; renal replacement therapy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transplante de Pulmão / Parada Cardíaca Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Clin Transplant Assunto da revista: TRANSPLANTE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Canadá

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