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Dataset Information

Diagnostic value of Peptest™ combined with gastroesophageal reflux disease questionnaire in identifying patients with gastroesophageal reflux-induced chronic cough.


ABSTRACT: ObjectivesGastroesophageal reflux-related chronic cough (GERC), an extraesophageal manifestation of gastroesophageal reflux disease (GERD). Although 24h MII-pH monitoring is the gold standard for diagnosing GERC, its invasiveness, high cost, and limited accessibility hinder widespread use in many clinical settings. This study aimed to develop a non-invasive machine learning model incorporating Peptest™ and GerdQ scores to facilitate GERC detection, particularly in primary care and resource-limited environments where MII-pH testing is not readily available.Methods210 chronic cough patients were enrolled between September 2022 and June 2024. GERC diagnosis followed established guidelines, and salivary pepsin levels were measured via Peptest™. Feature selection was performed using the Boruta

SUBMITTER: Yuan J 

PROVIDER: S-EPMC12319193 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature