Comparison of acute physiology and chronic health evaluations II and III and simplified acute physiology score II: A prospective cohort study evaluating these methods to predict outcome in a German interdisciplinary intensive care unit
R. Markgraf et al., Comparison of acute physiology and chronic health evaluations II and III and simplified acute physiology score II: A prospective cohort study evaluating these methods to predict outcome in a German interdisciplinary intensive care unit, CRIT CARE M, 28(1), 2000, pp. 26-33
Objective: To evaluate the ability of three scoring systems to predict hosp
ital mortality in adult patients of an interdisciplinary intensive care uni
t in Germany.
Design: A prospective cohort study.
Setting: A mixed medical and surgical intensive care unit at a teaching hos
pital in Germany.
Patients: From a total of 3,108 patients, 2,795 patients (89.9%) for Acute
Physiology and Chronic Health Evaluation (APACHE) II and 2,661 patients (85
.6%) for APACHE III and Simplified Acute Physiology Score (SAPS) II could b
e enrolled to the study because of defined exclusion criteria. Intervention
s: None.
Measurements and Main Results: Probabilities of hospital death for patients
were estimated by applying APACHE II and III and SAPS II and compared with
observed outcomes. The overall goodness-of-fit of the three models was ass
essed. Hospital death rates were equivalent to those predicted by APACHE II
but higher than those predicted by APACHE III and SAPS II. Calibration was
good for APACHE II. For the other systems, it was insufficient, but better
for SAPS II than for APACHE III. The overall correct classification rate,
applying a decision criterion of 50%, was 84% for APACHE II and 85% for APA
CHE III and SAPS II. The areas under the receiver operating characteristic
curve were 0.832 for APACHE II and 0.846 for APACHE III and SAPS II. Risk e
stimates for surgical and medical admissions differed between the three sys
tems. For all systems, risk predictions for diagnostic categories did not f
it uniformly across the spectrum of disease categories.
Conclusions: Our data more closely resemble those of the APACHE II database
, demonstrating a higher degree of overall goodness-of-fit of APACHE II tha
n APACHE III and SAPS II. Although discrimination was slightly better for t
he two new systems, calibration was good with a close fit for APACHE II onl
y. Hospital mortality was higher than predicted for both new models but was
underestimated to a greater degree by APACHE III. Both score systems demon
strated a considerable variation across the spectrum of diagnostic categori
es, which also differed between the two models.