Skip to main content
Top
Published in: Intensive Care Medicine 11/2009

01-11-2009 | Original

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

Authors: Daniele Poole, Carlotta Rossi, Abramo Anghileri, Michele Giardino, Nicola Latronico, Danilo Radrizzani, Martin Langer, Guido Bertolini

Published in: Intensive Care Medicine | Issue 11/2009

Login to get access

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference Altman DG, Royston P (2000) What do we mean by validating a prognostic model? Stat Med 19:453–473CrossRefPubMed Altman DG, Royston P (2000) What do we mean by validating a prognostic model? Stat Med 19:453–473CrossRefPubMed
3.
go back to reference Metnitz PG, Moreno RP, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR (2005) SAPS 3–from evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description. Intensive Care Med 31:1336–1344CrossRefPubMed Metnitz PG, Moreno RP, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR (2005) SAPS 3–from evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description. Intensive Care Med 31:1336–1344CrossRefPubMed
4.
go back to reference Ledoux D, Canivet JL, Preiser JC, Lefrancq J, Damas P (2008) SAPS 3 admission score: an external validation in a general intensive care population. Intensive Care Med 34:1873–1877CrossRefPubMed Ledoux D, Canivet JL, Preiser JC, Lefrancq J, Damas P (2008) SAPS 3 admission score: an external validation in a general intensive care population. Intensive Care Med 34:1873–1877CrossRefPubMed
5.
go back to reference Soares M, Salluh JI (2006) Validation of the SAPS 3 admission prognostic model in patients with cancer in need of intensive care. Intensive Care Med 32:1839–1844CrossRefPubMed Soares M, Salluh JI (2006) Validation of the SAPS 3 admission prognostic model in patients with cancer in need of intensive care. Intensive Care Med 32:1839–1844CrossRefPubMed
6.
go back to reference Krauss C, Sakr Y, Amaral A, Rea-Neto A, Specht M, Reinhart K, Marx G (2008) Assessment of the performance of the SAPS 3, SAPS II, and APACHE II prognostic models in a surgical ICU. Crit Care 12(Suppl 2):P502 Krauss C, Sakr Y, Amaral A, Rea-Neto A, Specht M, Reinhart K, Marx G (2008) Assessment of the performance of the SAPS 3, SAPS II, and APACHE II prognostic models in a surgical ICU. Crit Care 12(Suppl 2):P502
7.
go back to reference Moreno RP, Metnitz PG, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR (2005) SAPS 3–from evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med 31:1345–1355CrossRefPubMed Moreno RP, Metnitz PG, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR (2005) SAPS 3–from evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med 31:1345–1355CrossRefPubMed
8.
go back to reference Moreno R, Apolone G, Miranda DR (1998) Evaluation of the uniformity of fit of general outcome prediction models. Intensive Care Med 24:40–47CrossRefPubMed Moreno R, Apolone G, Miranda DR (1998) Evaluation of the uniformity of fit of general outcome prediction models. Intensive Care Med 24:40–47CrossRefPubMed
9.
go back to reference Hosmer DW, Lemeshow S (1995) Confidence interval estimates of an index of quality performance based on logistic regression models. Stat Med 14:2161–2172CrossRefPubMed Hosmer DW, Lemeshow S (1995) Confidence interval estimates of an index of quality performance based on logistic regression models. Stat Med 14:2161–2172CrossRefPubMed
10.
go back to reference Kramer AA, Zimmerman JE (2007) Assessing the calibration of mortality benchmarks in critical care: the Hosmer–Lemeshow test revisited. Crit Care Med 35:2052–2056CrossRefPubMed Kramer AA, Zimmerman JE (2007) Assessing the calibration of mortality benchmarks in critical care: the Hosmer–Lemeshow test revisited. Crit Care Med 35:2052–2056CrossRefPubMed
11.
go back to reference Bertolini G, D’Amico R, Nardi D, Tinazzi A, Apolone G (2000) One model, several results: the paradox of the Hosmer-Lemeshow goodness-of-fit test for the logistic regression model. J Epidemiol Biostat 5:251–253PubMed Bertolini G, D’Amico R, Nardi D, Tinazzi A, Apolone G (2000) One model, several results: the paradox of the Hosmer-Lemeshow goodness-of-fit test for the logistic regression model. J Epidemiol Biostat 5:251–253PubMed
12.
go back to reference Harrison DA, Brady AR, Parry GJ, Carpenter JR, Rowan K (2006) Recalibration of risk prediction models in a large multicenter cohort of admissions to adult, general critical care units in the United Kingdom. Crit Care Med 34:1378–1388CrossRefPubMed Harrison DA, Brady AR, Parry GJ, Carpenter JR, Rowan K (2006) Recalibration of risk prediction models in a large multicenter cohort of admissions to adult, general critical care units in the United Kingdom. Crit Care Med 34:1378–1388CrossRefPubMed
13.
go back to reference Hyam JA, Welch CA, Harrison DA, Menon DK (2006) Case mix, outcomes and comparison of risk prediction models for admissions to adult, general and specialist critical care units for head injury: a secondary analysis of the ICNARC Case Mix Programme Database. Crit Care 10(Suppl 2):S2CrossRefPubMed Hyam JA, Welch CA, Harrison DA, Menon DK (2006) Case mix, outcomes and comparison of risk prediction models for admissions to adult, general and specialist critical care units for head injury: a secondary analysis of the ICNARC Case Mix Programme Database. Crit Care 10(Suppl 2):S2CrossRefPubMed
14.
15.
go back to reference Cox D (1958) Two further applications of a model for a method of binary regression. Biometrika 45:562–565 Cox D (1958) Two further applications of a model for a method of binary regression. Biometrika 45:562–565
16.
go back to reference Miller ME, Hui SL, Tierney WM (1991) Validation techniques for logistic regression models. Stat Med 10:1213–1226CrossRefPubMed Miller ME, Hui SL, Tierney WM (1991) Validation techniques for logistic regression models. Stat Med 10:1213–1226CrossRefPubMed
17.
go back to reference Boffelli S, Rossi C, Bertolini G (2008) Progetto Margherita—Promuovere la ricerca e la valutazione in Terapia Intensiva. Rapporto 2007. Edizioni Sestante, Bergamo Boffelli S, Rossi C, Bertolini G (2008) Progetto Margherita—Promuovere la ricerca e la valutazione in Terapia Intensiva. Rapporto 2007. Edizioni Sestante, Bergamo
18.
go back to reference Zimmerman JE, Kramer AA, McNair DS, Malila FM (2006) Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today’s critically ill patients. Crit Care Med 34:1297–1310CrossRefPubMed Zimmerman JE, Kramer AA, McNair DS, Malila FM (2006) Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today’s critically ill patients. Crit Care Med 34:1297–1310CrossRefPubMed
19.
go back to reference Black N (1997) Developing high quality clinical databases. BMJ 315:381–382PubMed Black N (1997) Developing high quality clinical databases. BMJ 315:381–382PubMed
20.
go back to reference Beck DH, Smith GB, Pappachan JV, Millar B (2003) External validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: a multicentre study. Intensive Care Med 29:249–256PubMed Beck DH, Smith GB, Pappachan JV, Millar B (2003) External validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: a multicentre study. Intensive Care Med 29:249–256PubMed
21.
go back to reference Aegerter P, Boumendil A, Retbi A, Minvielle E, Dervaux B, Guidet B (2005) SAPS II revisited. Intensive Care Med 31:416–423CrossRefPubMed Aegerter P, Boumendil A, Retbi A, Minvielle E, Dervaux B, Guidet B (2005) SAPS II revisited. Intensive Care Med 31:416–423CrossRefPubMed
22.
go back to reference Metnitz PG, Lang T, Vesely H, Valentin A, Le Gall JR (2000) Ratios of observed to expected mortality are affected by differences in case mix and quality of care. Intensive Care Med 26:1466–1472CrossRefPubMed Metnitz PG, Lang T, Vesely H, Valentin A, Le Gall JR (2000) Ratios of observed to expected mortality are affected by differences in case mix and quality of care. Intensive Care Med 26:1466–1472CrossRefPubMed
Metadata
Title
External validation of the Simplified Acute Physiology Score (SAPS) 3 in a cohort of 28,357 patients from 147 Italian intensive care units
Authors
Daniele Poole
Carlotta Rossi
Abramo Anghileri
Michele Giardino
Nicola Latronico
Danilo Radrizzani
Martin Langer
Guido Bertolini
Publication date
01-11-2009
Publisher
Springer-Verlag
Published in
Intensive Care Medicine / Issue 11/2009
Print ISSN: 0342-4642
Electronic ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-009-1615-0

Other articles of this Issue 11/2009

Intensive Care Medicine 11/2009 Go to the issue