Key result
The ACS NSQIP Risk Calculator demonstrated good discrimination for predicting postoperative mortality (AUC 0.858; 95% CI 0.570-0.960) in patients undergoing colorectal cancer surgery.
Why the study?
Models predicting individual risks of surgical complications aid operative decision-making and postoperative management, motivating validation of the ACS NSQIP Risk Calculator in colorectal cancer surgery.
Does the ACS NSQIP Risk Calculator accurately predict postoperative complications in patients undergoing colorectal cancer surgery?
Observational (n=129)
No
Does the ACS NSQIP Risk Calculator accurately predict postoperative complications in patients undergoing colorectal cancer surgery?
Effect estimate: AUC 0.858 (95% CI 0.570-0.960)
The ACS NSQIP Risk Calculator is a valid tool for predicting postoperative complications in Tunisian patients undergoing colorectal cancer surgery.
May inform preoperative mortality risk discussion in colorectal cancer surgery; extends ACS NSQIP validation but remains hypothesis-generating.
Context: Models for predicting individual risks of surgical complications are advantageous for operative decision making and the nature of postoperative management procedures. Objective Validate the "ACS NSQIP ® Risk Calculator" in the prediction of postoperative complications during colorectal cancer surgery, operated during the years 2015–2019. Methods this is a prognostic validation study of the “ACS NSQIP ® ” applied retrospectively to patients operated on for colorectal cancer in the surgical department of FarhatHached hospital, during the 2015 and 2019 five-year term. Three levels of adjustment. Discrimination and calibration were carried out mainly by ROC curves (AUC ≥ 0.8). Results In this study, 129 patients were included with a sex ratio of 1.22 and a median age of 62 years. The most common operative procedure was low segmental colectomy with colorectal anastomosis. Thirty-seven patients (28.7%) had had at least one postoperative complication. The prediction and cuts-off points values of mortality (AUC = 0.858; CI 95% [0.570–0.960]; Cuts-off points = 1.8%), cardiac complications (AUC = 0.824; CI 95% [0.658–0.990] ; cuts-off points = 1.8%), thromboembolic complications (AUC = 0.802; CI 95% [0.617–0.987]; cuts-off point = 3.1%) and renal insufficiency (AUC = 0.802; CI 95% [ 0.623–0.981]; cuts-off point = 1.2%) were adjusted according to level 1 of the calculator. Conclusion This work contextualized the prediction of postoperative complications in colorectal surgery in the university general surgery department of FarhatHached in Sousse (Tunisia), making it possible to improve the quality and safety of surgical care. The application of the Tunisian mini calculator is recommended as well as the generalization of validation following the development of a generic calculator for all operating procedures.
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Abdelkrim et al. (2022) conducted an observational in Colorectal cancer surgery (n=129). ACS NSQIP Risk Calculator was evaluated on Prediction of postoperative mortality (AUC 0.858, 95% CI 0.570-0.960). The ACS NSQIP Risk Calculator demonstrated good discrimination for predicting postoperative mortality (AUC 0.858; 95% CI 0.570-0.960) in patients undergoing colorectal cancer surgery.
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