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Physiological and Psychological Factors Contribute to Real-Time Esophageal Symptom Reporting in Patients With Refractory Reflux.
Guadagnoli, Livia; Abber, Sophie; Geeraerts, Annelies; Geysen, Hannelore; Pauwels, Ans; Tack, Jan; Van Oudenhove, Lukas; Vanuytsel, Tim.
Afiliación
  • Guadagnoli L; Laboratory for Brain-Gut Axis Studies (LaBGAS), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium.
  • Abber S; Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium.
  • Geeraerts A; Department of Psychology, Florida State University, Tallahassee, Florida, USA.
  • Geysen H; Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium.
  • Pauwels A; Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium.
  • Tack J; Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium.
  • Van Oudenhove L; Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium.
  • Vanuytsel T; Gastroenterology Division, University Hospitals Leuven, Leuven, Belgium.
Am J Gastroenterol ; 2024 Aug 20.
Article en En | MEDLINE | ID: mdl-39162699
ABSTRACT

INTRODUCTION:

Real-time symptom reporting during ambulatory reflux monitoring plays a key role in the evaluation of esophageal symptoms, although the underlying processes are poorly understood. We aim to identify the psychological and physiological factors associated with real-time reflux symptom reporting and symptom-reflux association parameters.

METHODS:

Adult patients with refractory reflux symptoms completed psychosocial questionnaires and standard 24-hour pH-impedance monitoring. A hurdle-Poisson model evaluated the association between psychological and physiological (proton pump inhibitor [PPI] use, total number of reflux episodes) variables on real-time symptom frequency, assessed through a button press within 2 minutes of experiencing a symptom. Logistic regression assessed the variables associated with symptom association probability (SAP) and symptom index classification (positive/negative). Complementary machine learning analyses with 8-fold cross-validation further identified variables associated with symptom frequency and sought to optimize SAP classification performance.

RESULTS:

Both psychological (pain-related anxiety, depressive symptoms, trait anxiety) and physiological (total number of reflux episodes, off PPI during testing) variables were associated with symptom frequency. The total number of reflux episodes and being studied off PPI were significantly associated with a higher likelihood of being classified as SAP or symptom index positive. The best-performing model in the machine learning analysis demonstrated a poor job of correctly classifying patients as SAP positive/negative (misclassification rate = 41.4%).

DISCUSSION:

Real-time reflux symptom reporting is a multifactorial process, with both psychological and physiological processes contributing to different aspects of the reflux disease experience. Findings build on questionnaire-based research to underscore the importance of including psychological processes in our understanding of esophageal symptom reporting.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Gastroenterol / Am. j. gastroenterol. (Online) / The American journal of gastroenterology (Online) Año: 2024 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Gastroenterol / Am. j. gastroenterol. (Online) / The American journal of gastroenterology (Online) Año: 2024 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Estados Unidos