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Acute Physiology and Chronic Health Evaluation II and Simplified Acute Physiology Score II in Predicting Hospital Mortality of Neurosurgical Intensive Care Unit Patients

We study the predictive power of Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) in neurosurgical intensive care unit (ICU) patients. Retrospective investigation was conducted on 672 consecutive ICU patients during the last 2 yr. Data...

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Autores principales: Park, Sang-Kyu, Chun, Hyoung-Joon, Kim, Dong-Won, Im, Tai-Ho, Hong, Hyun-Jong, Yi, Hyeong-Joong
Formato: Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2698186/
https://www.ncbi.nlm.nih.gov/pubmed/19543503
http://dx.doi.org/10.3346/jkms.2009.24.3.420
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author Park, Sang-Kyu
Chun, Hyoung-Joon
Kim, Dong-Won
Im, Tai-Ho
Hong, Hyun-Jong
Yi, Hyeong-Joong
author_facet Park, Sang-Kyu
Chun, Hyoung-Joon
Kim, Dong-Won
Im, Tai-Ho
Hong, Hyun-Jong
Yi, Hyeong-Joong
author_sort Park, Sang-Kyu
collection PubMed
description We study the predictive power of Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) in neurosurgical intensive care unit (ICU) patients. Retrospective investigation was conducted on 672 consecutive ICU patients during the last 2 yr. Data were collected during the first 24 hours of admission and analyzed to calculate predicted mortality. Mortality predicted by two systems was compared and, multivariate analyses were then performed for subarachnoid hemorrhage (SAH) and traumatic brain injury (TBI) patients. Observed mortality was 24.8% whereas predicted mortalities were 37.7% and 38.4%, according to APACHE II and SAPS II. Calibration curve was close to the line of perfect prediction. SAPS II was not statistically significant according to a Lemeshow-Hosmer test, but slightly favored by area under the curve (AUC). In SAH patients, SAPS II was an independent predictor for mortality. In TBI patients, both systems had independent prognostic implications. Scoring systems are useful in predicting mortality and measuring performance in neurosurgical ICU setting. TBI patients are more affected by systemic insults than SAH patients, and this discrepancy of predicting mortality in each neurosurgical disease prompts us to develop a more specific scoring system targeted to cerebral dysfunction.
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spelling pubmed-26981862009-06-19 Acute Physiology and Chronic Health Evaluation II and Simplified Acute Physiology Score II in Predicting Hospital Mortality of Neurosurgical Intensive Care Unit Patients Park, Sang-Kyu Chun, Hyoung-Joon Kim, Dong-Won Im, Tai-Ho Hong, Hyun-Jong Yi, Hyeong-Joong J Korean Med Sci Original Article We study the predictive power of Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) in neurosurgical intensive care unit (ICU) patients. Retrospective investigation was conducted on 672 consecutive ICU patients during the last 2 yr. Data were collected during the first 24 hours of admission and analyzed to calculate predicted mortality. Mortality predicted by two systems was compared and, multivariate analyses were then performed for subarachnoid hemorrhage (SAH) and traumatic brain injury (TBI) patients. Observed mortality was 24.8% whereas predicted mortalities were 37.7% and 38.4%, according to APACHE II and SAPS II. Calibration curve was close to the line of perfect prediction. SAPS II was not statistically significant according to a Lemeshow-Hosmer test, but slightly favored by area under the curve (AUC). In SAH patients, SAPS II was an independent predictor for mortality. In TBI patients, both systems had independent prognostic implications. Scoring systems are useful in predicting mortality and measuring performance in neurosurgical ICU setting. TBI patients are more affected by systemic insults than SAH patients, and this discrepancy of predicting mortality in each neurosurgical disease prompts us to develop a more specific scoring system targeted to cerebral dysfunction. The Korean Academy of Medical Sciences 2009-06 2009-06-12 /pmc/articles/PMC2698186/ /pubmed/19543503 http://dx.doi.org/10.3346/jkms.2009.24.3.420 Text en Copyright © 2009 The Korean Academy of Medical Sciences http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Park, Sang-Kyu
Chun, Hyoung-Joon
Kim, Dong-Won
Im, Tai-Ho
Hong, Hyun-Jong
Yi, Hyeong-Joong
Acute Physiology and Chronic Health Evaluation II and Simplified Acute Physiology Score II in Predicting Hospital Mortality of Neurosurgical Intensive Care Unit Patients
title Acute Physiology and Chronic Health Evaluation II and Simplified Acute Physiology Score II in Predicting Hospital Mortality of Neurosurgical Intensive Care Unit Patients
title_full Acute Physiology and Chronic Health Evaluation II and Simplified Acute Physiology Score II in Predicting Hospital Mortality of Neurosurgical Intensive Care Unit Patients
title_fullStr Acute Physiology and Chronic Health Evaluation II and Simplified Acute Physiology Score II in Predicting Hospital Mortality of Neurosurgical Intensive Care Unit Patients
title_full_unstemmed Acute Physiology and Chronic Health Evaluation II and Simplified Acute Physiology Score II in Predicting Hospital Mortality of Neurosurgical Intensive Care Unit Patients
title_short Acute Physiology and Chronic Health Evaluation II and Simplified Acute Physiology Score II in Predicting Hospital Mortality of Neurosurgical Intensive Care Unit Patients
title_sort acute physiology and chronic health evaluation ii and simplified acute physiology score ii in predicting hospital mortality of neurosurgical intensive care unit patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2698186/
https://www.ncbi.nlm.nih.gov/pubmed/19543503
http://dx.doi.org/10.3346/jkms.2009.24.3.420
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