Literature DB >> 19685038

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

Daniele Poole1, Carlotta Rossi, Abramo Anghileri, Michele Giardino, Nicola Latronico, Danilo Radrizzani, Martin Langer, Guido Bertolini.   

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.

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Mesh:

Year:  2009        PMID: 19685038     DOI: 10.1007/s00134-009-1615-0

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  18 in total

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2.  Validation techniques for logistic regression models.

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3.  Predictive diagnostics for logistic models.

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6.  SAPS II revisited.

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8.  SAPS 3 admission score: an external validation in a general intensive care population.

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  19 in total

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Journal:  Intensive Care Med       Date:  2012-01-26       Impact factor: 17.440

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5.  What were you able to do in your daily life? Performance status for the critically ill patient.

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8.  Validation of the APACHE IV model and its comparison with the APACHE II, SAPS 3, and Korean SAPS 3 models for the prediction of hospital mortality in a Korean surgical intensive care unit.

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Review 9.  Clinical review: scoring systems in the critically ill.

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