Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?

Detalhes bibliográficos
Autor(a) principal: Oliveira, Vanessa M. de
Data de Publicação: 2013
Outros Autores: Brauner, Janete S., Rodrigues Filho, Edison, Susin, Ruth G. A., Draghetti, Viviane, Bolzan, Simone T., Vieira, Silvia R. R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Clinics
Texto Completo: https://www.revistas.usp.br/clinics/article/view/53152
Resumo: OBJECTIVES: This study compared the accuracy of the Simplified Acute Physiology Score 3 with that of Acute Physiology and Chronic Health Evaluation II at predicting hospital mortality in patients from a transplant intensive care unit. METHOD: A total of 501 patients were enrolled in the study (152 liver transplants, 271 kidney transplants, 54 lung transplants, 24 kidney-pancreas transplants) between May 2006 and January 2007. The Simplified Acute Physiology Score 3 was calculated using the global equation (customized for South America) and the Acute Physiology and Chronic Health Evaluation II score; the scores were calculated within 24 hours of admission. A receiver-operating characteristic curve was generated, and the area under the receiver-operating characteristic curve was calculated to identify the patients at the greatest risk of death according to Simplified Acute Physiology Score 3 and Acute Physiology and Chronic Health Evaluation II scores. The Hosmer-Lemeshow goodness-of-fit test was used for statistically significant results and indicated a difference in performance over deciles. The standardized mortality ratio was used to estimate the overall model performance. RESULTS: The ability of both scores to predict hospital mortality was poor in the liver and renal transplant groups and average in the lung transplant group (area under the receiver-operating characteristic curve = 0.696 for Simplified Acute Physiology Score 3 and 0.670 for Acute Physiology and Chronic Health Evaluation II). The calibration of both scores was poor, even after customizing the Simplified Acute Physiology Score 3 score for South America. CONCLUSIONS: The low predictive accuracy of the Simplified Acute Physiology Score 3 and Acute Physiology and Chronic Health Evaluation II scores does not warrant the use of these scores in critically ill transplant patients.
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spelling Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients? APACHESAPSKidney TransplantationLiver TransplantationLung TransplantationCritical Care Patients OBJECTIVES: This study compared the accuracy of the Simplified Acute Physiology Score 3 with that of Acute Physiology and Chronic Health Evaluation II at predicting hospital mortality in patients from a transplant intensive care unit. METHOD: A total of 501 patients were enrolled in the study (152 liver transplants, 271 kidney transplants, 54 lung transplants, 24 kidney-pancreas transplants) between May 2006 and January 2007. The Simplified Acute Physiology Score 3 was calculated using the global equation (customized for South America) and the Acute Physiology and Chronic Health Evaluation II score; the scores were calculated within 24 hours of admission. A receiver-operating characteristic curve was generated, and the area under the receiver-operating characteristic curve was calculated to identify the patients at the greatest risk of death according to Simplified Acute Physiology Score 3 and Acute Physiology and Chronic Health Evaluation II scores. The Hosmer-Lemeshow goodness-of-fit test was used for statistically significant results and indicated a difference in performance over deciles. The standardized mortality ratio was used to estimate the overall model performance. RESULTS: The ability of both scores to predict hospital mortality was poor in the liver and renal transplant groups and average in the lung transplant group (area under the receiver-operating characteristic curve = 0.696 for Simplified Acute Physiology Score 3 and 0.670 for Acute Physiology and Chronic Health Evaluation II). The calibration of both scores was poor, even after customizing the Simplified Acute Physiology Score 3 score for South America. CONCLUSIONS: The low predictive accuracy of the Simplified Acute Physiology Score 3 and Acute Physiology and Chronic Health Evaluation II scores does not warrant the use of these scores in critically ill transplant patients. Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2013-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/5315210.6061/CLINICS/2013(02)OA06Clinics; Vol. 68 No. 2 (2013); 153-158 Clinics; v. 68 n. 2 (2013); 153-158 Clinics; Vol. 68 Núm. 2 (2013); 153-158 1980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/53152/57213Oliveira, Vanessa M. deBrauner, Janete S.Rodrigues Filho, EdisonSusin, Ruth G. A.Draghetti, VivianeBolzan, Simone T.Vieira, Silvia R. R.info:eu-repo/semantics/openAccess2013-04-08T20:40:36Zoai:revistas.usp.br:article/53152Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2013-04-08T20:40:36Clinics - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?
title Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?
spellingShingle Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?
Oliveira, Vanessa M. de
APACHE
SAPS
Kidney Transplantation
Liver Transplantation
Lung Transplantation
Critical Care Patients
title_short Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?
title_full Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?
title_fullStr Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?
title_full_unstemmed Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?
title_sort Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?
author Oliveira, Vanessa M. de
author_facet Oliveira, Vanessa M. de
Brauner, Janete S.
Rodrigues Filho, Edison
Susin, Ruth G. A.
Draghetti, Viviane
Bolzan, Simone T.
Vieira, Silvia R. R.
author_role author
author2 Brauner, Janete S.
Rodrigues Filho, Edison
Susin, Ruth G. A.
Draghetti, Viviane
Bolzan, Simone T.
Vieira, Silvia R. R.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, Vanessa M. de
Brauner, Janete S.
Rodrigues Filho, Edison
Susin, Ruth G. A.
Draghetti, Viviane
Bolzan, Simone T.
Vieira, Silvia R. R.
dc.subject.por.fl_str_mv APACHE
SAPS
Kidney Transplantation
Liver Transplantation
Lung Transplantation
Critical Care Patients
topic APACHE
SAPS
Kidney Transplantation
Liver Transplantation
Lung Transplantation
Critical Care Patients
description OBJECTIVES: This study compared the accuracy of the Simplified Acute Physiology Score 3 with that of Acute Physiology and Chronic Health Evaluation II at predicting hospital mortality in patients from a transplant intensive care unit. METHOD: A total of 501 patients were enrolled in the study (152 liver transplants, 271 kidney transplants, 54 lung transplants, 24 kidney-pancreas transplants) between May 2006 and January 2007. The Simplified Acute Physiology Score 3 was calculated using the global equation (customized for South America) and the Acute Physiology and Chronic Health Evaluation II score; the scores were calculated within 24 hours of admission. A receiver-operating characteristic curve was generated, and the area under the receiver-operating characteristic curve was calculated to identify the patients at the greatest risk of death according to Simplified Acute Physiology Score 3 and Acute Physiology and Chronic Health Evaluation II scores. The Hosmer-Lemeshow goodness-of-fit test was used for statistically significant results and indicated a difference in performance over deciles. The standardized mortality ratio was used to estimate the overall model performance. RESULTS: The ability of both scores to predict hospital mortality was poor in the liver and renal transplant groups and average in the lung transplant group (area under the receiver-operating characteristic curve = 0.696 for Simplified Acute Physiology Score 3 and 0.670 for Acute Physiology and Chronic Health Evaluation II). The calibration of both scores was poor, even after customizing the Simplified Acute Physiology Score 3 score for South America. CONCLUSIONS: The low predictive accuracy of the Simplified Acute Physiology Score 3 and Acute Physiology and Chronic Health Evaluation II scores does not warrant the use of these scores in critically ill transplant patients.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/clinics/article/view/53152
10.6061/CLINICS/2013(02)OA06
url https://www.revistas.usp.br/clinics/article/view/53152
identifier_str_mv 10.6061/CLINICS/2013(02)OA06
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/clinics/article/view/53152/57213
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
dc.source.none.fl_str_mv Clinics; Vol. 68 No. 2 (2013); 153-158
Clinics; v. 68 n. 2 (2013); 153-158
Clinics; Vol. 68 Núm. 2 (2013); 153-158
1980-5322
1807-5932
reponame:Clinics
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Clinics
collection Clinics
repository.name.fl_str_mv Clinics - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||clinics@hc.fm.usp.br
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