Severity of disease scoring systems and mortality after non-cardiac surgery
Abstract Background: Mortality after surgery is frequent and severity of disease scoring systems are used for prediction. Our aim was to evaluate predictors for mortality after non-cardiac surgery. Methods: Adult patients admitted at our surgical intensive care unit between January 2006 and July 2...
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doaj-2ad16b9442d644b7b4d95ab715dff2f22020-11-25T01:23:08ZengSociedade Brasileira de AnestesiologiaRevista Brasileira de Anestesiologia1806-907X68324425310.1016/j.bjane.2017.11.008S0034-70942018000300244Severity of disease scoring systems and mortality after non-cardiac surgeryPedro Videira ReisGabriela SousaAna Martins LopesAna Vera CostaAlice SantosFernando José AbelhaAbstract Background: Mortality after surgery is frequent and severity of disease scoring systems are used for prediction. Our aim was to evaluate predictors for mortality after non-cardiac surgery. Methods: Adult patients admitted at our surgical intensive care unit between January 2006 and July 2013 was included. Univariate analysis was carried using Mann-Whitney, Chi-square or Fisher's exact test. Logistic regression was performed to assess independent factors with calculation of odds ratio and 95% confidence interval (95% CI). Results: 4398 patients were included. Mortality was 1.4% in surgical intensive care unit and 7.4% during hospital stay. Independent predictors of mortality in surgical intensive care unit were APACHE II (OR = 1.24); emergent surgery (OR = 4.10), serum sodium (OR = 1.06) and FiO2 at admission (OR = 14.31). Serum bicarbonate at admission (OR = 0.89) was considered a protective factor. Independent predictors of hospital mortality were age (OR = 1.02), APACHE II (OR = 1.09), emergency surgery (OR = 1.82), high-risk surgery (OR = 1.61), FiO2 at admission (OR = 1.02), postoperative acute renal failure (OR = 1.96), heart rate (OR = 1.01) and serum sodium (OR = 1.04). Dying patients had higher scores in severity of disease scoring systems and longer surgical intensive care unit stay. Conclusion: Some factors influenced both surgical intensive care unit and hospital mortality.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-70942018000300244&lng=en&tlng=enPostoperative mortalitySeverity of disease scoring systemsAPACHE IISAPS IISurgical intensive care unitNon-cardiac surgery |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pedro Videira Reis Gabriela Sousa Ana Martins Lopes Ana Vera Costa Alice Santos Fernando José Abelha |
spellingShingle |
Pedro Videira Reis Gabriela Sousa Ana Martins Lopes Ana Vera Costa Alice Santos Fernando José Abelha Severity of disease scoring systems and mortality after non-cardiac surgery Revista Brasileira de Anestesiologia Postoperative mortality Severity of disease scoring systems APACHE II SAPS II Surgical intensive care unit Non-cardiac surgery |
author_facet |
Pedro Videira Reis Gabriela Sousa Ana Martins Lopes Ana Vera Costa Alice Santos Fernando José Abelha |
author_sort |
Pedro Videira Reis |
title |
Severity of disease scoring systems and mortality after non-cardiac surgery |
title_short |
Severity of disease scoring systems and mortality after non-cardiac surgery |
title_full |
Severity of disease scoring systems and mortality after non-cardiac surgery |
title_fullStr |
Severity of disease scoring systems and mortality after non-cardiac surgery |
title_full_unstemmed |
Severity of disease scoring systems and mortality after non-cardiac surgery |
title_sort |
severity of disease scoring systems and mortality after non-cardiac surgery |
publisher |
Sociedade Brasileira de Anestesiologia |
series |
Revista Brasileira de Anestesiologia |
issn |
1806-907X |
description |
Abstract Background: Mortality after surgery is frequent and severity of disease scoring systems are used for prediction. Our aim was to evaluate predictors for mortality after non-cardiac surgery. Methods: Adult patients admitted at our surgical intensive care unit between January 2006 and July 2013 was included. Univariate analysis was carried using Mann-Whitney, Chi-square or Fisher's exact test. Logistic regression was performed to assess independent factors with calculation of odds ratio and 95% confidence interval (95% CI). Results: 4398 patients were included. Mortality was 1.4% in surgical intensive care unit and 7.4% during hospital stay. Independent predictors of mortality in surgical intensive care unit were APACHE II (OR = 1.24); emergent surgery (OR = 4.10), serum sodium (OR = 1.06) and FiO2 at admission (OR = 14.31). Serum bicarbonate at admission (OR = 0.89) was considered a protective factor. Independent predictors of hospital mortality were age (OR = 1.02), APACHE II (OR = 1.09), emergency surgery (OR = 1.82), high-risk surgery (OR = 1.61), FiO2 at admission (OR = 1.02), postoperative acute renal failure (OR = 1.96), heart rate (OR = 1.01) and serum sodium (OR = 1.04). Dying patients had higher scores in severity of disease scoring systems and longer surgical intensive care unit stay. Conclusion: Some factors influenced both surgical intensive care unit and hospital mortality. |
topic |
Postoperative mortality Severity of disease scoring systems APACHE II SAPS II Surgical intensive care unit Non-cardiac surgery |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-70942018000300244&lng=en&tlng=en |
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