Prediction model for difficulty of peroral endoscopic myotomy: an independent cohort validation

ObjectiveTo validate the efficacy of the prediction model for difficulty of peroral endoscopic myotomy (POEM) through an independent cohort. MethodsA total of 617 patients with achalasia who underwent POEM at the Endoscopy Center of Zhongshan Hospital, Fudan University from January 2021 to December 2023 were included. The general data of patients were collected, and the predictive value of the prediction model for POEM difficulty in the validation cohort was estimated. The stratified analysis was undergone according to the difficulty risk scores. ResultsIn 617 consecutive patients, technical difficulty was observed in 90 cases (14.6%). The predictive model demonstrated moderate discriminatory capacity with an area under the receiver operating characteristic curve (AUC) of 0.711 (95%CI 0.643-0.780). Patients were stratified into three risk categories according to the difficulty risk scores: low-risk (<0.1), medium-risk (0.1-0.25), and high-risk (≥0.25). The corresponding technical difficulty rates were 7.3%, 16.9%, and 51.6%, respectively. ConclusionThe prediction model for POEM difficulty built by our center shows good stability and discrimination, and has good clinical application value.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.12025/j.issn.1008-6358.2025.20250073
Primary Topic
Gastroesophageal reflux and treatments
Type
article
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article

Prediction model for difficulty of peroral endoscopic myotomy: an independent cohort validation

SHILAP Revista de lepidopterología
Gastroesophageal reflux and treatments
article

Prediction model for difficulty of peroral endoscopic myotomy: an independent cohort validation

article en

Abstract

ObjectiveTo validate the efficacy of the prediction model for difficulty of peroral endoscopic myotomy (POEM) through an independent cohort. MethodsA total of 617 patients with achalasia who underwent POEM at the Endoscopy Center of Zhongshan Hospital, Fudan University from January 2021 to December 2023 were included. The general data of patients were collected, and the predictive value of the prediction model for POEM difficulty in the validation cohort was estimated. The stratified analysis was undergone according to the difficulty risk scores. ResultsIn 617 consecutive patients, technical difficulty was observed in 90 cases (14.6%). The predictive model demonstrated moderate discriminatory capacity with an area under the receiver operating characteristic curve (AUC) of 0.711 (95%CI 0.643-0.780). Patients were stratified into three risk categories according to the difficulty risk scores: low-risk (<0.1), medium-risk (0.1-0.25), and high-risk (≥0.25). The corresponding technical difficulty rates were 7.3%, 16.9%, and 51.6%, respectively. ConclusionThe prediction model for POEM difficulty built by our center shows good stability and discrimination, and has good clinical application value.

SHILAP Revista de lepidopterología
Sun Yat-sen University (CN), Fudan University (CN), Zhongshan Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)
Reduced inequalities
Openalex Percentile: Top 38%
Gastroesophageal reflux and treatments
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