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Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores

INTRODUCTION: The aim of this study was to evaluate the usefulness of the APACHE II (Acute Physiology and Chronic Health Evaluation II), SAPS II (Simplified Acute Physiology Score II) and SOFA (Sequential Organ Failure Assessment) scores compared to simpler models based on age and Glasgow Coma Scale...

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Autores principales: Raj, Rahul, Skrifvars, Markus Benedikt, Bendel, Stepani, Selander, Tuomas, Kivisaari, Riku, Siironen, Jari, Reinikainen, Matti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4056363/
https://www.ncbi.nlm.nih.gov/pubmed/24708781
http://dx.doi.org/10.1186/cc13814
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author Raj, Rahul
Skrifvars, Markus Benedikt
Bendel, Stepani
Selander, Tuomas
Kivisaari, Riku
Siironen, Jari
Reinikainen, Matti
author_facet Raj, Rahul
Skrifvars, Markus Benedikt
Bendel, Stepani
Selander, Tuomas
Kivisaari, Riku
Siironen, Jari
Reinikainen, Matti
author_sort Raj, Rahul
collection PubMed
description INTRODUCTION: The aim of this study was to evaluate the usefulness of the APACHE II (Acute Physiology and Chronic Health Evaluation II), SAPS II (Simplified Acute Physiology Score II) and SOFA (Sequential Organ Failure Assessment) scores compared to simpler models based on age and Glasgow Coma Scale (GCS) in predicting long-term outcome of patients with moderate-to-severe traumatic brain injury (TBI) treated in the intensive care unit (ICU). METHODS: A national ICU database was screened for eligible TBI patients (age over 15 years, GCS 3–13) admitted in 2003–2012. Logistic regression was used for customization of APACHE II, SAPS II and SOFA score-based models for six-month mortality prediction. These models were compared to an adjusted SOFA-based model (including age) and a reference model (age and GCS). Internal validation was performed by a randomized split-sample technique. Prognostic performance was determined by assessing discrimination, calibration and precision. RESULTS: In total, 1,625 patients were included. The overall six-month mortality was 33%. The APACHE II and SAPS II-based models showed good discrimination (area under the curve (AUC) 0.79, 95% confidence interval (CI) 0.75 to 0.82; and 0.80, 95% CI 0.77 to 0.83, respectively), calibration (P > 0.05) and precision (Brier score 0.166 to 0.167). The SOFA-based model showed poor discrimination (AUC 0.68, 95% CI 0.64 to 0.72) and precision (Brier score 0.201) but good calibration (P > 0.05). The AUC of the SOFA-based model was significantly improved after the insertion of age and GCS (∆AUC +0.11, P < 0.001). The performance of the reference model was comparable to the APACHE II and SAPS II in terms of discrimination (AUC 0.77; compared to APACHE II, ΔAUC −0.02, P = 0.425; compared to SAPS II, ΔAUC −0.03, P = 0.218), calibration (P > 0.05) and precision (Brier score 0.181). CONCLUSIONS: A simple prognostic model, based only on age and GCS, displayed a fairly good prognostic performance in predicting six-month mortality of ICU-treated patients with TBI. The use of the more complex scoring systems APACHE II, SAPS II and SOFA added little to the prognostic performance.
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spelling pubmed-40563632014-10-23 Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores Raj, Rahul Skrifvars, Markus Benedikt Bendel, Stepani Selander, Tuomas Kivisaari, Riku Siironen, Jari Reinikainen, Matti Crit Care Research INTRODUCTION: The aim of this study was to evaluate the usefulness of the APACHE II (Acute Physiology and Chronic Health Evaluation II), SAPS II (Simplified Acute Physiology Score II) and SOFA (Sequential Organ Failure Assessment) scores compared to simpler models based on age and Glasgow Coma Scale (GCS) in predicting long-term outcome of patients with moderate-to-severe traumatic brain injury (TBI) treated in the intensive care unit (ICU). METHODS: A national ICU database was screened for eligible TBI patients (age over 15 years, GCS 3–13) admitted in 2003–2012. Logistic regression was used for customization of APACHE II, SAPS II and SOFA score-based models for six-month mortality prediction. These models were compared to an adjusted SOFA-based model (including age) and a reference model (age and GCS). Internal validation was performed by a randomized split-sample technique. Prognostic performance was determined by assessing discrimination, calibration and precision. RESULTS: In total, 1,625 patients were included. The overall six-month mortality was 33%. The APACHE II and SAPS II-based models showed good discrimination (area under the curve (AUC) 0.79, 95% confidence interval (CI) 0.75 to 0.82; and 0.80, 95% CI 0.77 to 0.83, respectively), calibration (P > 0.05) and precision (Brier score 0.166 to 0.167). The SOFA-based model showed poor discrimination (AUC 0.68, 95% CI 0.64 to 0.72) and precision (Brier score 0.201) but good calibration (P > 0.05). The AUC of the SOFA-based model was significantly improved after the insertion of age and GCS (∆AUC +0.11, P < 0.001). The performance of the reference model was comparable to the APACHE II and SAPS II in terms of discrimination (AUC 0.77; compared to APACHE II, ΔAUC −0.02, P = 0.425; compared to SAPS II, ΔAUC −0.03, P = 0.218), calibration (P > 0.05) and precision (Brier score 0.181). CONCLUSIONS: A simple prognostic model, based only on age and GCS, displayed a fairly good prognostic performance in predicting six-month mortality of ICU-treated patients with TBI. The use of the more complex scoring systems APACHE II, SAPS II and SOFA added little to the prognostic performance. BioMed Central 2014 2014-04-03 /pmc/articles/PMC4056363/ /pubmed/24708781 http://dx.doi.org/10.1186/cc13814 Text en Copyright © 2014 Raj et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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 cited.
spellingShingle Research
Raj, Rahul
Skrifvars, Markus Benedikt
Bendel, Stepani
Selander, Tuomas
Kivisaari, Riku
Siironen, Jari
Reinikainen, Matti
Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores
title Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores
title_full Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores
title_fullStr Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores
title_full_unstemmed Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores
title_short Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores
title_sort predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4056363/
https://www.ncbi.nlm.nih.gov/pubmed/24708781
http://dx.doi.org/10.1186/cc13814
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