Korean Journal of Critical Care Medicine (Aug 2017)

The Ability of the Acute Physiology and Chronic Health Evaluation (APACHE) IV Score to Predict Mortality in a Single Tertiary Hospital

  • Jae Woo Choi,
  • Young Sun Park,
  • Young Seok Lee,
  • Yeon Hee Park,
  • Chaeuk Chung,
  • Dong Il Park,
  • In Sun Kwon,
  • Ju Sang Lee,
  • Na Eun Min,
  • Jeong Eun Park,
  • Sang Hoon Yoo,
  • Gyu Rak Chon,
  • Young Hoon Sul,
  • Jae Young Moon

DOI
https://doi.org/10.4266/kjccm.2016.00990
Journal volume & issue
Vol. 32, no. 3
pp. 275 – 283

Abstract

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Background The Acute Physiology and Chronic Health Evaluation (APACHE) II model has been widely used in Korea. However, there have been few studies on the APACHE IV model in Korean intensive care units (ICUs). The aim of this study was to compare the ability of APACHE IV and APACHE II in predicting hospital mortality, and to investigate the ability of APACHE IV as a critical care triage criterion. Methods The study was designed as a prospective cohort study. Measurements of discrimination and calibration were performed using the area under the receiver operating characteristic curve (AUROC) and the Hosmer-Lemeshow goodness-of-fit test respectively. We also calculated the standardized mortality ratio (SMR). Results The APACHE IV score, the Charlson Comorbidity index (CCI) score, acute respiratory distress syndrome, and unplanned ICU admissions were independently associated with hospital mortality. The calibration, discrimination, and SMR of APACHE IV were good (H = 7.67, P = 0.465; C = 3.42, P = 0.905; AUROC = 0.759; SMR = 1.00). However, the explanatory power of an APACHE IV score >93 alone on hospital mortality was low at 44.1%. The explanatory power was increased to 53.8% when the hospital mortality was predicted using a model that considers APACHE IV >93 scores, medical admission, and risk factors for CCI >3 coincidentally. However, the discriminative ability of the prediction model was unsatisfactory (C index <0.70). Conclusions The APACHE IV presented good discrimination, calibration, and SMR for hospital mortality.

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