External validation of the Simplified Acute Physiology Score (SAPS) 3 in a cohort of 28,357 patients from 147 Italian intensive care units

Intensive Care Med. 2009 Nov;35(11):1916-24. doi: 10.1007/s00134-009-1615-0. Epub 2009 Aug 14.

Abstract

Objective: To evaluate the SAPS 3 score predictive ability of hospital mortality in a large external validation cohort.

Design: Prospective observational study.

Setting and patients: A total of 28,357 patients from 147 Italian ICUs joining the Project Margherita national database of the Gruppo italiano per la Valutazione degli interventi in Terapia Intensiva (GiViTI).

Interventions: None.

Measurement: Evaluation of discrimination through ROC analysis and of overall goodness-of-fit through the Cox calibration test.

Main results: Although discrimination was good, calibration turned out to be poor. The general and the South-Europe Mediterranean countries equations overestimated hospital mortality overall (SMR values 0.73 with 95% CI 0.72-0.75 for both equations) and homogeneously across risk classes. Overprediction was confirmed among important subgroups, with SMR values ranging between 0.47 and 0.82.

Conclusions: The result strictly supported by our data is that the SAPS 3 score calibrates inadequately in a large sample of Italian ICU patients and thus should not be used for benchmarking, at least in Italian settings.

Publication types

  • Validation Study

MeSH terms

  • APACHE*
  • Aged
  • Bias
  • Calibration
  • Chi-Square Distribution
  • Critical Care / organization & administration
  • Critical Illness* / classification
  • Critical Illness* / mortality
  • Data Collection / methods
  • Data Collection / standards
  • Diagnosis-Related Groups
  • Discriminant Analysis
  • Female
  • Hospital Mortality*
  • Humans
  • Intensive Care Units / organization & administration
  • Italy / epidemiology
  • Logistic Models
  • Male
  • Middle Aged
  • Outcome Assessment, Health Care
  • Predictive Value of Tests
  • Prognosis
  • Prospective Studies
  • ROC Curve
  • Risk Factors
  • Time Factors