Key result
ACS NSQIP risk calculator predicts serious complications in gynae-oncology surgery with a moderate ~0.67 AUC.
Why the study?
The study was conducted to evaluate the ability of the ACS NSQIP surgical risk calculator to accurately identify patients at increased risk of perioperative complications following surgery for gynaecological malignancy.
Does the ACS NSQIP surgical risk calculator accurately predict post-operative complications in patients undergoing gynae-oncology surgery?
Cohort (n=142)
No
Does the ACS NSQIP surgical risk calculator accurately predict post-operative complications in patients undergoing gynae-oncology surgery?
Effect estimate: AUC 0.672 (95% CI 0.481-0.863)
The ACS NSQIP surgical risk calculator has moderate discriminative power for predicting serious complications in gynae-oncology surgery and can help identify patients at above-average risk, though it is not an absolute predictor for all complications.
May support selective NSQIP use for gynae-oncology risk stratification; leaves open need for prospective validation.
Objective: The objective of this study was to assess the ability of the American College of Surgeons (ACS) NSQIP surgical risk calculator to accurately identify patients at increased risk of perioperative complication following surgery for gynaecological malignancy. Methods: A retrospective review of 142 patients who underwent major surgery under the gynae-oncology team between 06/08/2018-16/04/2019 at the University Hospital of Wales. Pre-operative factors combined with a procedure-specific code generated the predicted risk of 13 post-operative complications for each patient. Brier scores assessed calibration and receiver operated curves (AUC) evaluated the discriminative power of NSQIP. Results: Complications were experienced by 50/142 (35.2%) patients. The calculator displayed adequate calibration when used to predict serious complications (Brier = 0.070), readmission (Brier = 0.058), return to OR (Brier = 0.000) and UTI (Brier = 0.001). It had the greatest discriminative power when predicting the risk of serious complications (AUC = 0.672; 95% CI, 0.481-0.863). The calculator successfully identified a majority of patients who had a complication as being of ‘above average risk’ for all complications, apart from return to OR, based on their pre-operative factors. Discussion: NSQIP has previously been demonstrated to be a useful pre-operative tool for evaluating the risk of post-operative complications in colorectal surgery. This study suggests that in the setting of gynaeoncology surgery the calculator does not have adequate discriminative power to be an absolute predictor of all complications, however, it may be useful in identifying patients who are likely to develop serious complications and those at above average risk of complications.
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Jones et al. (2020) conducted a cohort in Gynaecological malignancy (n=142). ACS NSQIP surgical risk calculator vs. Observed complications was evaluated on Discriminative power for predicting serious complications (AUC 0.672, 95% CI 0.481-0.863). The ACS NSQIP surgical risk calculator demonstrated moderate discriminative power for predicting serious post-operative complications (AUC 0.672) in patients undergoing gynae-oncology surgery.
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