Key result
The ACS NSQIP Risk Calculator demonstrated good discrimination for predicting 30-day postoperative mortality (AUC 0.858) in patients undergoing elective colorectal cancer surgery in Tunisia.
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 in Tunisia?
Observational (n=129)
No
Does the ACS NSQIP Risk Calculator accurately predict postoperative complications in patients undergoing colorectal cancer surgery in Tunisia?
Effect estimate: AUC 0.858 (95% CI 0.757-0.960)
p-value: p=<0.001
The ACS NSQIP Risk Calculator demonstrated good discrimination for predicting mortality, cardiac complications, thromboembolic events, and renal failure in a Tunisian cohort undergoing colorectal cancer surgery.
ACS NSQIP shows good mortality discrimination in Tunisian cohort; extends prior validation but leaves open routine adoption.
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 (n=129). ACS NSQIP Risk Calculator vs. Observed outcomes was evaluated on Prediction of 30-day postoperative mortality (AUC 0.858, 95% CI 0.757-0.960, p=<0.001). The ACS NSQIP Risk Calculator demonstrated good discrimination for predicting 30-day postoperative mortality (AUC 0.858) in patients undergoing elective colorectal cancer surgery in Tunisia.
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