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Most deaths in low-risk cardiac surgery could be avoidable

It is observed that death rates in cardiac surgery has decreased, however, root causes that behave like triggers of potentially avoidable deaths (AD), especially in low-risk patients (less bias) are often unknown and underexplored, Phase of Care Mortality Analysis (POCMA) can be a valuable tool to i...

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Detalles Bibliográficos
Autores principales: Mejia, Omar Asdrúbal Vilca, Borgomoni, Gabrielle Barbosa, Lima, Eduardo Gomes, Guerreiro, Gustavo Pampolha, Dallan, Luís Roberto, de Barros e Silva, Pedro, Nakazone, Marcelo Arruda, Junior, Orlando Petrucci, Gomes, Walter José, de Oliveira, Marco Antonio Praça, Sousa, Alexandre, Campagnucci, Valquíria Pelisser, Tiveron, Marcos Gradim, Rodrigues, Alfredo José, Tineli, Rafael Ângelo, Rocha e Silva, Roberto, Lisboa, Luiz Augusto Ferreira, Jatene, Fabio Biscegli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806717/
https://www.ncbi.nlm.nih.gov/pubmed/33441748
http://dx.doi.org/10.1038/s41598-020-80175-7
Descripción
Sumario:It is observed that death rates in cardiac surgery has decreased, however, root causes that behave like triggers of potentially avoidable deaths (AD), especially in low-risk patients (less bias) are often unknown and underexplored, Phase of Care Mortality Analysis (POCMA) can be a valuable tool to identify seminal events (SE), providing valuable information where it is possible to make improvements in the quality and safety of future procedures. Our results show that in São Paul State, only one third of AD in low-risk cardiac surgery was related to specific surgical problems. After a revisited analysis, 75% of deaths could have been avoided, which in the pre-operative phase, the SE was related judgment, patient evaluation and preparation. In the intra-operative phase, most occurrences could have been avoided if other surgical technique had been used. Sepsis was responsible for 75% of AD in the intensive care unit. In the ward phase, the recognition/management of clinical decompensations and sepsis were the contributing factors. Logistic regression model identified age, previous coronary stent implantation, coronary artery bypass grafting + heart valve surgery, ≥ 2 combined heart valve surgery and hospital-acquired infection as independent predictors of AD.