A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study

Objective. —To develop and validate a new Simplified Acute Physiology Score, the SAPS II, from a large sample of surgical and medical patients, and to provide a method to convert the score to a probability of hospital mortality. Design and Setting. —The SAPS II and the probability of hospital mortality were developed and validated using data from consecutive admissions to 137 adult medical and/or surgical intensive care units in 12 countries. Patients. —The 13 152 patients were randomly divided into developmental (65%) and validation (35%) samples. Patients younger than 18 years, burn patients, coronary care patients, and cardiac surgery patients were excluded. Outcome Measure. —Vital status at hospital discharge. Results. —The SAPS II includes only 17 variables: 12 physiology variables, age, type of admission (scheduled surgical, unscheduled surgical, or medical), and three underlying disease variables (acquired immunodeficiency syndrome, metastatic cancer, and hematologic malignancy). Goodness-of-fit tests indicated that the model performed well in the developmental sample and validated well in an independent sample of patients (P=.883 andP=.104 in the developmental and validation samples, respectively). The area under the receiver operating characteristic curve was 0.88 in the developmental sample and 0.86 in the validation sample. Conclusion. —The SAPS II, based on a large international sample of patients, provides an estimate of the risk of death without having to specify a primary diagnosis. This is a starting point for future evaluation of the efficiency of intensive care units. (JAMA. 1993;270:2957-2963)

[1]  J. Fleiss Statistical methods for rates and proportions , 1974 .

[2]  W. Cleveland Robust Locally Weighted Regression and Smoothing Scatterplots , 1979 .

[3]  D. E. Lawrence,et al.  APACHE—acute physiology and chronic health evaluation: a physiologically based classification system , 1981, Critical care medicine.

[4]  Víctor M. Guerrero,et al.  Use of the Box-Cox transformation with binary response models , 1982 .

[5]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[6]  J. L. Gall,et al.  A simplified acute physiology score for ICU patients , 1984, Critical care medicine.

[7]  E. Draper,et al.  Prognosis in Acute Organ‐System Failure , 1985, Annals of surgery.

[8]  H Pastides,et al.  A method for predicting survival and mortality of ICU patients using objectively derived weights , 1985, Critical care medicine.

[9]  W. Knaus,et al.  APACHE II: a severity of disease classification system. , 1985 .

[10]  J. Fleiss The design and analysis of clinical experiments , 1987 .

[11]  [Prognostic factors in resuscitation]. , 1988, Presse medicale.

[12]  S Lemeshow,et al.  Refining intensive care unit outcome prediction by using changing probabilities of mortality. , 1988, Critical care medicine.

[13]  R. Chang,et al.  INDIVIDUAL OUTCOME PREDICTION MODELS FOR INTENSIVE CARE UNITS , 1989, The Lancet.

[14]  David W. Hosmer,et al.  Applied Logistic Regression , 1991 .

[15]  R. Moreau,et al.  Comparison of two simplified severity scores (SAPS and APACHE II) for patients with acute myocardial infarction. , 1989, Critical care medicine.

[16]  Les facteurs pronostiques en réanimation , 1990 .

[17]  W. Knaus,et al.  The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. , 1991, Chest.

[18]  D. Wagner,et al.  An initial comparison of intensive care in Japan and the United States , 1992, Critical care medicine.

[19]  S. Chevret,et al.  A controlled trial in intensive care units of selective decontamination of the digestive tract with nonabsorbable antibiotics. The French Study Group on Selective Decontamination of the Digestive Tract. , 1992, The New England journal of medicine.

[20]  S. Lemeshow,et al.  Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. , 1993, JAMA.