title: Predictive accuracy of severity scoring system: a prospective cohort study using APACHE III in a Korean intensive care unit.
abstract: OBJECTIVE
  To evaluate the discrimination, calibration, and uniformity of fit by age group, operative status, and location before ICU admission of APACHE III in a single-center ICU population.
  
  
  METHODS
  Prospective data collection in a 25 bed mixed (surgical and medical) ICU of 850-bed teaching hospital in Pusan, South Korea.
  
  
  METHODS
  The worst values on APACHE III variables during 24h following ICU admission were collected from the patient's charts and clinical flow sheets of 284 consecutively admitted subjects.
  
  
  RESULTS
  The mortality rate was 31.0%, and showed a strong positive correlation between APACHE III score (r=0.97, p<0.0001 for entire population, r=0.97, p<0.0001 for medical patients, r=0.91, p<0.0001 for surgical patients). Hospital mortality was significantly higher for medical patients than surgical patients (OR=7.23, 95% CI=3.76-13.88), and for patients located in the operating room than at ward before admitting ICU (OR=0.09, 95% CI=0.04-0.23). At the predicted risk of 0.5 (66 of APACHE III score), sensitivity was 0.72, specificity 0.91, and correct classification rate 0.85. Area under the ROC curve was 0.905 (95% CI=0.867-0.943). Correlation coefficient (r) between observed and expected mortality rate was 0.99. The value (chi-square) of Lemeshow-Hosmer (L-H) goodness-of-fit statistic was 6.54 (p=0.59). In patients stratified according to age groups, operative status, and location in the hospital before ICU admission, discrimination was generally good in all subgroups (area under the ROC curve >0.85), and the chi-squared of L-H goodness-of -fit statistic showed a good fit for all subgroup, especially for operative status.
  
  
  CONCLUSIONS
  The predictive accuracy of the APACHE III scoring system showed better discrimination, as well as uniformity of fit. So, it was thought that could be utilized for the subject hospital.
authors.affiliation: Department of Nursing, College of Medicine, Pusan National University, 1-10 Ami-Dong Seo-Gu, 602-739 Pusan, South Korea. jeongis@pusan.ac.kr
authors.forename: Jeong
authors.initials: J
authors.lastname: Ihnsook
authors.forename: Kim
authors.initials: K
authors.lastname: Myunghee
authors.forename: Kim
authors.initials: K
authors.lastname: Jungsoon
mesh_terms: D018806:APACHE; D000367:Age Factors; D000368:Aged; D016638:Critical Illness / Q000145:classification* / Q000401:mortality*; D016002:Discriminant Analysis; D005260:Female; D017052:Hospital Mortality; D006784:Hospitals, Teaching; D006801:Humans; D007362:Intensive Care Units; D007723:Korea / Q000453:epidemiology; D007902:Length of Stay / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010343:Patient Admission / Q000706:statistics & numerical data; D011237:Predictive Value of Tests; D011379:Prognosis; D011446:Prospective Studies; D012372:ROC Curve; D012307:Risk Factors; D012720:Severity of Illness Index; D016019:Survival Analysis