Key result
Automated SAPS II scores accurately predict ICU discharge mortality with an AUC of 0.81.
Why the study?
A method for complete computerized calculation of SAPS II within 24 hours after surgical ICU admission based only on routine PDMS data without manual entry was needed.
Does automatically calculated SAPS II score predict survival status at ICU discharge in surgical ICU patients?
Population
524 patients in a surgical ICU for at least 24 hours between April 1, 1999 and March 31, 2000
Comparison
Computerized SAPS II score calculation vs no manual data entry
Design
Retrospective observational cohort study using SQL scripts for score calculation
Follow-up
Until ICU discharge
Authors
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May support automated SAPS II scoring in surgical ICUs without manual entry; leaves open prospective validation before wider adoption.
Observational (n=524)
No
Does automatically calculated SAPS II score predict survival status at ICU discharge in surgical ICU patients?
Effect estimate: ROC AUC 0.81 (95% CI 0.74-0.87)
Automatic calculation of the SAPS II score using routine data from a patient data management system is feasible and provides good discrimination and calibration for predicting ICU mortality without requiring manual data entry.
Engel et al. (2003) conducted an observational in Surgical ICU patients (n=524). Automatically calculated SAPS II scores was evaluated on Survival status at ICU discharge (ROC AUC 0.81, 95% CI 0.74-0.87). Automatically calculated SAPS II scores from routine clinical data accurately predicted mortality at ICU discharge with a discriminative power (ROC AUC) of 0.81 (95% CI 0.74-0.87).
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