title: Performance of the score systems Acute Physiology and Chronic Health Evaluation II and III at an interdisciplinary intensive care unit, after customization.
abstract: BACKGROUND
  Mortality predictions calculated using scoring scales are often not accurate in populations other than those in which the scales were developed because of differences in case-mix. The present study investigates the effect of first-level customization, using a logistic regression technique, on discrimination and calibration of the Acute Physiology and Chronic Health Evaluation (APACHE) II and III scales.
  
  
  METHODS
  Probabilities of hospital death for patients were estimated by applying APACHE II and III and comparing these with observed outcomes. Using the split sample technique, a customized model to predict outcome was developed by logistic regression. The overall goodness-of-fit of the original and the customized models was assessed.
  
  
  RESULTS
  Of 3383 consecutive intensive care unit (ICU) admissions over 3 years, 2795 patients could be analyzed, and were split randomly into development and validation samples. The discriminative powers of APACHE II and III were unchanged by customization (areas under the receiver operating characteristic [ROC] curve 0.82 and 0.85, respectively). Hosmer-Lemeshow goodness-of-fit tests showed good calibration for APACHE II, but insufficient calibration for APACHE III. Customization improved calibration for both models, with a good fit for APACHE III as well. However, fit was different for various subgroups.
  
  
  CONCLUSIONS
  The overall goodness-of-fit of APACHE III mortality prediction was improved significantly by customization, but uniformity of fit in different subgroups was not achieved. Therefore, application of the customized model provides no advantage, because differences in case-mix still limit comparisons of quality of care.
authors.affiliation: Department of Internal Medicine II and Clinical Geriatrics, Ev Krankenhaus Bethanien, Iserlohn, Germany. rainer.markgraf@t-online.de
authors.forename: R
authors.initials: R
authors.lastname: Markgraf
authors.forename: G
authors.initials: G
authors.lastname: Deutschinoff
authors.forename: L
authors.initials: L
authors.lastname: Pientka
authors.forename: T
authors.initials: T
authors.lastname: Scholten
authors.forename: C
authors.initials: C
authors.lastname: Lorenz
mesh_terms: D018806:APACHE; D003422:Critical Care / Q000592:standards* / Q000706:statistics & numerical data; D003953:Diagnosis-Related Groups; D006801:Humans; D007362:Intensive Care Units; D016015:Logistic Models; D008875:Middle Aged; D009026:Mortality; D011379:Prognosis; D011787:Quality of Health Care; D015203:Reproducibility of Results