Key result
Adding operative complexity to patient risk factors improved the c-index for predicting 30-day postoperative mortality from 0.915 to 0.941, primarily in high-complexity cases.
Why the study?
Does adding operative complexity to the NSQIP risk factor formula improve the prediction of 30-day postoperative mortality in civilian surgical patients?
Population
8,593 civilian surgical patients from the University of Texas Health Science Center at San…
Comparison
Addition of operative complexity to the VA NSQIP… vs VA NSQIP risk factor formula without operative…
Design
Cohort
Follow-up
30-day
Authors
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May support NSQIP risk models in civilian surgery; leaves open prospective validation before practice change.
Observational (n=8,593)
No
Does adding operative complexity to the NSQIP risk factor formula improve the prediction of 30-day postoperative mortality in civilian surgical patients?
Absolute Event Rate: 0.941% vs 0.915%
Operative complexity improves mortality risk estimation primarily for highly complex surgical cases, while patient risk factors are the main determinants for the vast majority of civilian surgeries.
Aust et al. (2005) conducted an observational in Surgical patients (n=8,593). Operative complexity vs. Patient risk factors alone was evaluated on 30-day postoperative mortality prediction accuracy (c-index). Adding operative complexity to patient risk factors improved the c-index for predicting 30-day postoperative mortality from 0.915 to 0.941, primarily in high-complexity cases.
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