Mehdi Ben Abdelkrim, Mohamed Amine Elghali, Amany Moussa, Ahmed Ben Abdelaziz
{"title":"Contextual Validation of the Prediction of Postoperative Complications of Colorectal Surgery by the \"<i>ACS NSQIP</i> <sup>®</sup> <i>Risk Calculator</i>\" in a Tunisian Center.","authors":"Mehdi Ben Abdelkrim, Mohamed Amine Elghali, Amany Moussa, Ahmed Ben Abdelaziz","doi":"10.1177/11769351221135153","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>Models for predicting individual risks of surgical complications are advantageous for operative decision making and the nature of postoperative management procedures.</p><p><strong>Objective: </strong>Validate the \"ACS NSQIP<sup>®</sup> Risk Calculator\" in the prediction of postoperative complications during colorectal cancer surgery, operated during the years 2015 to 2019.</p><p><strong>Methods: </strong>this is a prognostic validation study of the \"ACS NSQIP<sup>®</sup>\" applied retrospectively to patients operated on for colorectal cancer in the surgical department of Farhat Hached hospital, during the 2015 and 2019 5-year term. Three levels of adjustment. Discrimination and calibration were carried out mainly by ROC curves (AUC ⩾ 0.8).</p><p><strong>Results: </strong>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 at least one postoperative complication. The prediction and cuts-off points values of mortality (AUC = 0.858; CI<sub>95%</sub> [0.570-0.960]; Cuts-off points = 1.8%), cardiac complications (AUC = 0.824; CI<sub>95%</sub> [0.658-0.990]; Cuts-off points = 1.8%), thromboembolic complications (AUC = 0.802; CI<sub>95%</sub> [0.617-0.987]; Cuts-off point = 3.1%), and renal insufficiency (AUC = 0.802; CI<sub>95%</sub> [ 0.623-0.981]; Cuts-off point = 1.2%) were adjusted according to level 1 of the calculator.</p><p><strong>Conclusion: </strong>This work contextualized the prediction of postoperative complications in colorectal surgery in the university general surgery department of Farhat Hached 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.</p>","PeriodicalId":35418,"journal":{"name":"Cancer Informatics","volume":" ","pages":"11769351221135153"},"PeriodicalIF":2.4000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/9e/54/10.1177_11769351221135153.PMC9661577.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11769351221135153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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 to 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 Farhat Hached hospital, during the 2015 and 2019 5-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 at least one postoperative complication. The prediction and cuts-off points values of mortality (AUC = 0.858; CI95% [0.570-0.960]; Cuts-off points = 1.8%), cardiac complications (AUC = 0.824; CI95% [0.658-0.990]; Cuts-off points = 1.8%), thromboembolic complications (AUC = 0.802; CI95% [0.617-0.987]; Cuts-off point = 3.1%), and renal insufficiency (AUC = 0.802; CI95% [ 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 Farhat Hached 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.
期刊介绍:
The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.