An Endoscopic Scoring System for Achalasia: The CARS score.


Journal

Gastrointestinal endoscopy
ISSN: 1097-6779
Titre abrégé: Gastrointest Endosc
Pays: United States
ID NLM: 0010505

Informations de publication

Date de publication:
29 Feb 2024
Historique:
received: 11 12 2023
revised: 29 01 2024
accepted: 18 02 2024
medline: 3 3 2024
pubmed: 3 3 2024
entrez: 2 3 2024
Statut: aheadofprint

Résumé

The diagnosis of achalasia is associated with an average delay of two years. Endoscopic features may prompt an earlier diagnosis. We aimed to develop and test a novel endoscopic CARS score for the prediction of achalasia. Part 1: Twenty endoscopic videos were taken from patients undergoing endoscopy for dysphagia or reflux. A survey with videos and endoscopic criteria options was distributed to 6 esophagologists and 6 general gastroenterologists. Inter-rater reliability (IRR) was measured and logistic regression was used to evaluate predictive performance. Three rounds of review were conducted to select the final score of four components. PART 2: A retrospective review was conducted for consecutive patients who had comprehensive esophageal testing. Each patient had a CARS endoscopic score calculated based on findings reported at endoscopy. From a video review and analysis of score components, IRR ranged from 0.23 to 0.57 for score components. The final CARS score was selected based on the following four components: Contents, Anatomy, Resistance, and Stasis. In a mixed effects model, the mean score across raters was higher for achalasia compared to non-achalasia subjects (4.44 vs. 0.87, p = < 0.01). In part 2 of the study, achalasia patients had a higher mean CARS score compared to those with no / ineffective motility disorder (mean 4.1 vs 1.3, p = < 0.01). We developed a CARS score based on reliability performance in a video-based survey and tested the score in clinical setting. The CARS score performed well in predicting achalasia.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
The diagnosis of achalasia is associated with an average delay of two years. Endoscopic features may prompt an earlier diagnosis. We aimed to develop and test a novel endoscopic CARS score for the prediction of achalasia.
METHODS METHODS
Part 1: Twenty endoscopic videos were taken from patients undergoing endoscopy for dysphagia or reflux. A survey with videos and endoscopic criteria options was distributed to 6 esophagologists and 6 general gastroenterologists. Inter-rater reliability (IRR) was measured and logistic regression was used to evaluate predictive performance. Three rounds of review were conducted to select the final score of four components. PART 2: A retrospective review was conducted for consecutive patients who had comprehensive esophageal testing. Each patient had a CARS endoscopic score calculated based on findings reported at endoscopy.
RESULTS RESULTS
From a video review and analysis of score components, IRR ranged from 0.23 to 0.57 for score components. The final CARS score was selected based on the following four components: Contents, Anatomy, Resistance, and Stasis. In a mixed effects model, the mean score across raters was higher for achalasia compared to non-achalasia subjects (4.44 vs. 0.87, p = < 0.01). In part 2 of the study, achalasia patients had a higher mean CARS score compared to those with no / ineffective motility disorder (mean 4.1 vs 1.3, p = < 0.01).
CONCLUSIONS CONCLUSIONS
We developed a CARS score based on reliability performance in a video-based survey and tested the score in clinical setting. The CARS score performed well in predicting achalasia.

Identifiants

pubmed: 38431105
pii: S0016-5107(24)00135-4
doi: 10.1016/j.gie.2024.02.020
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.

Auteurs

Ashton Ellison (A)

Division of Gastroenterology, Center for Esophageal Diseases, Baylor University Medical Center and Center for Esophageal Research, Baylor Scott & White Research Institute, Dallas, Texas. Electronic address: Ashton.ellison@bswhealth.org.

Matthew Peller (M)

Division of Gastroenterology and Hepatology, Kenneth C. Griffin Esophageal Center, Northwestern Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Anh D Nguyen (AD)

Division of Gastroenterology, Center for Esophageal Diseases, Baylor University Medical Center and Center for Esophageal Research, Baylor Scott & White Research Institute, Dallas, Texas.

Dustin A Carlson (DA)

Division of Gastroenterology and Hepatology, Kenneth C. Griffin Esophageal Center, Northwestern Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Rajesh Keswani (R)

Division of Gastroenterology and Hepatology, Kenneth C. Griffin Esophageal Center, Northwestern Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Jacob M Schauer (JM)

Department of Preventive Medicine, Division of Biostatistics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Chanakyaram A Reddy (CA)

Division of Gastroenterology, Center for Esophageal Diseases, Baylor University Medical Center and Center for Esophageal Research, Baylor Scott & White Research Institute, Dallas, Texas.

Rhonda F Souza (RF)

Division of Gastroenterology, Center for Esophageal Diseases, Baylor University Medical Center and Center for Esophageal Research, Baylor Scott & White Research Institute, Dallas, Texas.

Stuart J Spechler (SJ)

Division of Gastroenterology, Center for Esophageal Diseases, Baylor University Medical Center and Center for Esophageal Research, Baylor Scott & White Research Institute, Dallas, Texas.

John E Pandolfino (JE)

Division of Gastroenterology and Hepatology, Kenneth C. Griffin Esophageal Center, Northwestern Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Vani J A Konda (VJA)

Division of Gastroenterology, Center for Esophageal Diseases, Baylor University Medical Center and Center for Esophageal Research, Baylor Scott & White Research Institute, Dallas, Texas.

Classifications MeSH