Key result
NSQIP Surgical Risk Calculator shows reasonable performance but overestimates readmission and death in higher-risk patients.
Why the study?
The American College of Surgeons NSQIP Surgical Risk Calculator is widely available for perioperative risk prediction, but its predictive performance required investigation in an Australian setting.
Does the NSQIP Surgical Risk Calculator accurately predict 30-day postoperative outcomes in an Australian general surgical cohort?
Observational (n=2,121)
No
Does the NSQIP Surgical Risk Calculator accurately predict 30-day postoperative outcomes in an Australian general surgical cohort?
The NSQIP Surgical Risk Calculator has reasonable overall predictive performance in an Australian general surgical cohort, though it overestimates certain outcomes at higher risk levels, highlighting the need for locally adapted tools.
Supports cautious use of NSQIP calculator in Australian general surgery; leaves open need for local recalibration and prospective validation.
BACKGROUND: The National Surgical Quality Improvement Program (NSQIP) Surgical Risk Calculator from the American College of Surgeons is a widely available tool for peri-operative risk prediction. This study investigates its predictive performance in an Australian setting. METHODS: A single-centre retrospective external validation study was conducted at a tertiary referral centre in New South Wales, Australia. Data from a general surgical cohort in a 2-year period from 2020 to 2021 was collected from the NSQIP database and entered into the NSQIP calculator. The predictive performance of the calculator was analysed across the standard 14 NSQIP postoperative outcome measures at 30 days. RESULTS: There were 2121 patient records analysed using tests of accuracy and in the discrimination and calibration domains. The overall predictive performance of the NSQIP calculator was reasonable. There was greater accuracy at lower-risk predictions. At higher-risk predictions, Readmission, Death, and Discharge to Nursing or Rehab Facility, and Length of Stay were overestimated, whilst other outcomes were underestimated. CONCLUSION: This study demonstrates reasonable overall performance of the NSQIP calculator in the context of this cohort and provides data to support the need for locally adapted and validated risk prediction tools for use by Australian perioperative physicians.
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Moi et al. (2023) conducted an observational in General surgery (n=2,121). NSQIP Surgical Risk Calculator was evaluated on Predictive performance across 14 NSQIP postoperative outcome measures at 30 days. The NSQIP Surgical Risk Calculator showed reasonable overall predictive performance in 2,121 general surgical patients, but overestimated readmission and death for higher-risk predictions.
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