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Performance of the SAPS 3 admission score as a predictor of ICU mortality in a Philippine private tertiary medical center intensive care unit

BACKGROUND: This study aimed to assess the performance of the Simplified Acute Physiology Score 3 (SAPS 3) as a predictor of ICU mortality in critically ill patients of different case mixes admitted to an intensive care unit. METHODS: This retrospective cohort study was performed from January 2011 t...

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Autores principales: Hernandez, Aaron Mark R, Palo, Jose Emmanuel M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267583/
https://www.ncbi.nlm.nih.gov/pubmed/25520841
http://dx.doi.org/10.1186/2052-0492-2-29
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author Hernandez, Aaron Mark R
Palo, Jose Emmanuel M
author_facet Hernandez, Aaron Mark R
Palo, Jose Emmanuel M
author_sort Hernandez, Aaron Mark R
collection PubMed
description BACKGROUND: This study aimed to assess the performance of the Simplified Acute Physiology Score 3 (SAPS 3) as a predictor of ICU mortality in critically ill patients of different case mixes admitted to an intensive care unit. METHODS: This retrospective cohort study was performed from January 2011 to August 2013 in the intensive care unit of a private tertiary referral center in the Philippines. Predicted ICU mortality was calculated using the SAPS 3 global model. Observed versus predicted mortality rates were compared, and the standardized mortality ratio (SMR) was calculated. The discrimination and calibration characteristics of the SAPS 3 system to predict ICU mortality were assessed. RESULTS: A total of 2,426 patients were included. The observed ICU mortality was 277 (11.42%). The SAPS 3 global model had fair to good discrimination with an area under the receiver operating characteristic curve of 0.80 (CI 0.78–0.81). Good calibration was seen with the Hosmer-Lemeshow goodness of fit at Ĉ = 11.51 (p = 0.175). Standardized mortality ratio was 0.36 (0.26–0.81). CONCLUSION: The global SAPS 3 prediction model showed fair to good discrimination and good calibration in predicting mortality in our intensive care unit. Different levels of discrimination and calibration across the different subgroups analyzed suggest that overall ICU performance seemed to be affected by case mix variations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2052-0492-2-29) contains supplementary material, which is available to authorized users.
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spelling pubmed-42675832014-12-17 Performance of the SAPS 3 admission score as a predictor of ICU mortality in a Philippine private tertiary medical center intensive care unit Hernandez, Aaron Mark R Palo, Jose Emmanuel M J Intensive Care Research BACKGROUND: This study aimed to assess the performance of the Simplified Acute Physiology Score 3 (SAPS 3) as a predictor of ICU mortality in critically ill patients of different case mixes admitted to an intensive care unit. METHODS: This retrospective cohort study was performed from January 2011 to August 2013 in the intensive care unit of a private tertiary referral center in the Philippines. Predicted ICU mortality was calculated using the SAPS 3 global model. Observed versus predicted mortality rates were compared, and the standardized mortality ratio (SMR) was calculated. The discrimination and calibration characteristics of the SAPS 3 system to predict ICU mortality were assessed. RESULTS: A total of 2,426 patients were included. The observed ICU mortality was 277 (11.42%). The SAPS 3 global model had fair to good discrimination with an area under the receiver operating characteristic curve of 0.80 (CI 0.78–0.81). Good calibration was seen with the Hosmer-Lemeshow goodness of fit at Ĉ = 11.51 (p = 0.175). Standardized mortality ratio was 0.36 (0.26–0.81). CONCLUSION: The global SAPS 3 prediction model showed fair to good discrimination and good calibration in predicting mortality in our intensive care unit. Different levels of discrimination and calibration across the different subgroups analyzed suggest that overall ICU performance seemed to be affected by case mix variations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2052-0492-2-29) contains supplementary material, which is available to authorized users. BioMed Central 2014-04-24 /pmc/articles/PMC4267583/ /pubmed/25520841 http://dx.doi.org/10.1186/2052-0492-2-29 Text en © Hernandez and Palo; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hernandez, Aaron Mark R
Palo, Jose Emmanuel M
Performance of the SAPS 3 admission score as a predictor of ICU mortality in a Philippine private tertiary medical center intensive care unit
title Performance of the SAPS 3 admission score as a predictor of ICU mortality in a Philippine private tertiary medical center intensive care unit
title_full Performance of the SAPS 3 admission score as a predictor of ICU mortality in a Philippine private tertiary medical center intensive care unit
title_fullStr Performance of the SAPS 3 admission score as a predictor of ICU mortality in a Philippine private tertiary medical center intensive care unit
title_full_unstemmed Performance of the SAPS 3 admission score as a predictor of ICU mortality in a Philippine private tertiary medical center intensive care unit
title_short Performance of the SAPS 3 admission score as a predictor of ICU mortality in a Philippine private tertiary medical center intensive care unit
title_sort performance of the saps 3 admission score as a predictor of icu mortality in a philippine private tertiary medical center intensive care unit
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267583/
https://www.ncbi.nlm.nih.gov/pubmed/25520841
http://dx.doi.org/10.1186/2052-0492-2-29
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