Literature DB >> 25237448

Validation of the APACHE IV model and its comparison with the APACHE II, SAPS 3, and Korean SAPS 3 models for the prediction of hospital mortality in a Korean surgical intensive care unit.

Hannah Lee1, Yoon-Jung Shon1, Hyerim Kim1, Hyesun Paik1, Hee-Pyoung Park1.   

Abstract

BACKGROUND: The Acute Physiology and Chronic Health Evaluation (APACHE) IV model has not yet been validated in Korea. The aim of this study was to compare the ability of the APACHE IV with those of APACHE II, Simplified Acute Physiology Score (SAPS) 3, and Korean SAPS 3 in predicting hospital mortality in a surgical intensive care unit (SICU) population.
METHODS: We retrospectively reviewed electronic medical records for patients admitted to the SICU from March 2011 to February 2012 in a university hospital. Measurements of discrimination and calibration were performed using the area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow test, respectively. We calculated the standardized mortality ratio (SMR, actual mortality predicted mortality) for the four models.
RESULTS: The study included 1,314 patients. The hospital mortality rate was 3.3%. The discriminative powers of all models were similar and very reliable. The AUCs were 0.80 for APACHE IV, 0.85 for APACHE II, 0.86 for SAPS 3, and 0.86 for Korean SAPS 3. Hosmer and Lemeshow C and H statistics showed poor calibration for all of the models (P < 0.05). The SMRs of APACHE IV, APACHE II, SAPS 3, and Korean SAPS 3 were 0.21, 0.11 0.23, 0.34, and 0.25, respectively.
CONCLUSIONS: The APACHE IV revealed good discrimination but poor calibration. The overall discrimination and calibration of APACHE IV were similar to those of APACHE II, SAPS 3, and Korean SAPS 3 in this study. A high level of customization is required to improve calibration in this study setting.

Entities:  

Keywords:  Acute physiology and Chronic Health Evaluation II; Acute physiology and Chronic Health Evaluation IV; Intensive care unit; Simplified Acute Physiology Score 3; Validation

Year:  2014        PMID: 25237448      PMCID: PMC4166383          DOI: 10.4097/kjae.2014.67.2.115

Source DB:  PubMed          Journal:  Korean J Anesthesiol        ISSN: 2005-6419


  30 in total

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Review 4.  A comparison of goodness-of-fit tests for the logistic regression model.

Authors:  D W Hosmer; T Hosmer; S Le Cessie; S Lemeshow
Journal:  Stat Med       Date:  1997-05-15       Impact factor: 2.373

5.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

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Authors:  S Lemeshow; D W Hosmer
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7.  Performance of the third-generation models of severity scoring systems (APACHE IV, SAPS 3 and MPM-III) in acute kidney injury critically ill patients.

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Authors:  W A Knaus; J E Zimmerman; D P Wagner; E A Draper; D E Lawrence
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9.  Comparison of the performance of SAPS II, SAPS 3, APACHE II, and their customized prognostic models in a surgical intensive care unit.

Authors:  Y Sakr; C Krauss; A C K B Amaral; A Réa-Neto; M Specht; K Reinhart; G Marx
Journal:  Br J Anaesth       Date:  2008-10-09       Impact factor: 9.166

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6.  Mortality Prediction Using Acute Physiology and Chronic Health Evaluation II and Acute Physiology and Chronic Health Evaluation IV Scoring Systems: Is There a Difference?

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10.  Validation of the Acute Physiology and Chronic Health Evaluation (APACHE) II and IV Score in COVID-19 Patients.

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