Most deaths in low-risk cardiac surgery could be avoidable Article Swipe
Omar Asdrúbal Vilca Mejía
,
Gabrielle Barbosa Borgomoni
,
Eduardo Gomes Lima
,
Gustavo Pampolha Guerreiro
,
Luís Roberto Palma Dallan
,
Pedro de Barros e Silva
,
Marcelo Arruda Nakazone
,
Orlando Petrucci
,
Walter J. Gomes
,
Marco Antônio Praça Oliveira
,
Alexandre Gonçalves de Sousa
,
Valquíria Pelisser Campagnucci
,
Marcos Gradim Tiveron
,
Alfredo José Rodrigues
,
Rafael Ângelo Tineli
,
Roberto Rocha e Silva
,
Luiz Augusto Ferreira Lisboa
,
Fábio Biscegli Jatene
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-020-80175-7
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-020-80175-7
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-020-80175-7
- https://www.nature.com/articles/s41598-020-80175-7.pdf
- OA Status
- gold
- Cited By
- 10
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3118470590
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3118470590Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-020-80175-7Digital Object Identifier
- Title
-
Most deaths in low-risk cardiac surgery could be avoidableWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-13Full publication date if available
- Authors
-
Omar Asdrúbal Vilca Mejía, Gabrielle Barbosa Borgomoni, Eduardo Gomes Lima, Gustavo Pampolha Guerreiro, Luís Roberto Palma Dallan, Pedro de Barros e Silva, Marcelo Arruda Nakazone, Orlando Petrucci, Walter J. Gomes, Marco Antônio Praça Oliveira, Alexandre Gonçalves de Sousa, Valquíria Pelisser Campagnucci, Marcos Gradim Tiveron, Alfredo José Rodrigues, Rafael Ângelo Tineli, Roberto Rocha e Silva, Luiz Augusto Ferreira Lisboa, Fábio Biscegli JateneList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-020-80175-7Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-020-80175-7.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.nature.com/articles/s41598-020-80175-7.pdfDirect OA link when available
- Concepts
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Medicine, Logistic regression, Bypass grafting, Sepsis, Intensive care unit, Cardiac surgery, Intensive care medicine, Surgery, Artery, Emergency medicine, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 2, 2023: 2, 2022: 3, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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28Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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