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Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?
dc.contributor.author | Oliveira, Vanessa Martins de | pt_BR |
dc.contributor.author | Brauner, Janete Salles | pt_BR |
dc.contributor.author | Rodrigues Filho, Edison Moraes | pt_BR |
dc.contributor.author | Susin, Ruth Guimarães de Almeida | pt_BR |
dc.contributor.author | Draghetti, Viviani | pt_BR |
dc.contributor.author | Bolzan, Simone Tasqueto | pt_BR |
dc.contributor.author | Vieira, Silvia Regina Rios | pt_BR |
dc.date.accessioned | 2014-12-25T02:10:04Z | pt_BR |
dc.date.issued | 2013 | pt_BR |
dc.identifier.issn | 1980-5322 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/108655 | pt_BR |
dc.description.abstract | 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. | en |
dc.format.mimetype | application/pdf | pt_BR |
dc.language.iso | eng | pt_BR |
dc.relation.ispartof | Clinics (São Paulo). São Paulo. Vol. 68, n. 2 (fev. 2013), p. 153-158 | pt_BR |
dc.rights | Open Access | en |
dc.subject | Pontuação de propensão | pt_BR |
dc.subject | PACHE | en |
dc.subject | Mortalidade | pt_BR |
dc.subject | SAPS | en |
dc.subject | Kidney transplantation | en |
dc.subject | Transplante de pulmão | pt_BR |
dc.subject | Transplante de rim | pt_BR |
dc.subject | Liver transplantation | en |
dc.subject | Lung transplantation | en |
dc.subject | Transplante de fígado | pt_BR |
dc.subject | Critical care patients | en |
dc.title | Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients? | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dc.identifier.nrb | 000880356 | pt_BR |
dc.type.origin | Nacional | pt_BR |
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