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Stratifying Endoscopic Submucosal Dissection Risks: A Validated Perforation Preoperative Risk Scoring Tool
Attila Ulkucu1, Mariano Laporte, Imran Khan
1Department of Colorectal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH, USA.
Objective:
This study aimed to develop a predictive model for perforation to improve patient safety during Endoscopic Submucosal Dissection (ESD).
Summary Background Data:
ESD provides a less invasive approach for colorectal lesion removal but carries perforation risks that can cause considerable morbidity.
Method:
Data of patients who underwent ESD for colorectal lesions at a tertiary care center between March 2011 and November 2023 were reviewed from a prospectively maintained database. We stratified the subjects into derivation and validation sets using 50-50 allocation. Predictors of perforation identified in univariate analysis (P<0.22) were evaluated for independent association using multivariate analysis. Model efficacy was assessed using the ROC curve.
Results:
The study involved 1051 patients (515 males and 536 females) with lesions mainly in right colon (638; 61%), left colon (181; 17%), rectum (137; 13%), and transverse colon (98; 9%). Perforation occurred in 108 (10%) patients. Significant (P<0.05) perforation predictors; first 100 procedures (63.3% vs. 36.7%, P<0.001), lesion size >35 mm (59.2% vs. 38.8%, P=0.00369), extended operative time (mean 169 vs. 76.9 min, P<0.001), higher lift degree (P=0.00114), and incomplete resections (18.4% vs. 2.9%, P<0.001). In multivariate analysis, fibrosis (odds ratio [OR]:2.67, P=0.010), the first 100 procedures (OR:14.6, P<0.001), and lesion size >35 mm (OR: 3.50; P<0.001) emerged as significant independent preoperative. ESD perforation risk score validation achieved adequate performance (AUC: 0.7078; accuracy: 80.19%).
Conclusion:
This study introduces a validated ESD perforation risk model, providing clinicians with reliable tool for patient risk assessment and potentially improving preprocedural strategies.
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