{"title":"Pre-Operative Score Development: Predicting Difficulty in Elective Laparoscopic Cholecystectomy","authors":"Chusaeng Teerawiwatchai, Jiratchaya Polprative, Kantapon Rattanachueskul, Ronnayong Thomtong","doi":"10.31584/jhsmr.2023994","DOIUrl":null,"url":null,"abstract":"Objective: To develop and internally validate a pre-operative scoring system to predict difficulty in elective laparoscopic cholecystectomy (LC).Material and Methods: A retrospective diagnostic prediction study was conducted. Patients undergoing elective LC; from September 2016 to January 2023, at Hatyai Hospital in Southern Thailand were included. Patients were categorized by difficultly of LC according to the Nassar scale (grades 1-2 as non-difficult LC and grades 3-4 as difficult LC). Pre-operative data were compared between both groups; utilizing multivariable logistic regression. Internal validation was performed via the bootstrapping procedure.Results: In total, three hundred and eighteen patients were categorized into either; difficult LC 121 patients or non-difficult LC 197 patients. From this, 7 variables obtained from the multivariable logistic reduced model (male, cirrhosis, history of ERCP, ASA III, gallbladder wall ≥4 mm, dilated gallbladder, contracted gallbladder) were developed as a pre-operative score. The scoring (range: 0.0-16.6) was classified into 3 groups for clinical practicability. The positive predictive values (PPV) were 18.1 for low-risk, 38.0 for moderate-risk, and 76.0 for high-risk. Internal validation, via bootstrap technique, showed a C-statistic value of 0.76, and bootstrap shrinkage was 0.995. The prediction ability (AuROC) of the pre-operative score was 0.76.Conclusion: The developed of a pre-operative score had a good predictive performance, with fewer predictors for prediction difficulty of elective LC that can assist surgeons in surgical management selection.","PeriodicalId":93205,"journal":{"name":"Journal of Health Science and Medical Research (JHSMR)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Health Science and Medical Research (JHSMR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31584/jhsmr.2023994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To develop and internally validate a pre-operative scoring system to predict difficulty in elective laparoscopic cholecystectomy (LC).Material and Methods: A retrospective diagnostic prediction study was conducted. Patients undergoing elective LC; from September 2016 to January 2023, at Hatyai Hospital in Southern Thailand were included. Patients were categorized by difficultly of LC according to the Nassar scale (grades 1-2 as non-difficult LC and grades 3-4 as difficult LC). Pre-operative data were compared between both groups; utilizing multivariable logistic regression. Internal validation was performed via the bootstrapping procedure.Results: In total, three hundred and eighteen patients were categorized into either; difficult LC 121 patients or non-difficult LC 197 patients. From this, 7 variables obtained from the multivariable logistic reduced model (male, cirrhosis, history of ERCP, ASA III, gallbladder wall ≥4 mm, dilated gallbladder, contracted gallbladder) were developed as a pre-operative score. The scoring (range: 0.0-16.6) was classified into 3 groups for clinical practicability. The positive predictive values (PPV) were 18.1 for low-risk, 38.0 for moderate-risk, and 76.0 for high-risk. Internal validation, via bootstrap technique, showed a C-statistic value of 0.76, and bootstrap shrinkage was 0.995. The prediction ability (AuROC) of the pre-operative score was 0.76.Conclusion: The developed of a pre-operative score had a good predictive performance, with fewer predictors for prediction difficulty of elective LC that can assist surgeons in surgical management selection.