Monitoring Infection Symptoms Through a Mobile Application and Their Effect on Disease Flares in Familial Mediterranean Fever Patients

Infections are well-recognized triggers of FMF attacks; however, the precise relationship between infection episodes and disease flares remains incompletely understood. Most available data on triggering factors have been derived from retrospective chart reviews or patient recall, both of which are prone to incomplete, biased, or delayed reporting. As a result, the temporal dynamics between infection onset and subsequent FMF flares remain insufficiently characterized.

Recent advances in mobile health technologies have created new opportunities to capture disease-related data in real time. Mobile application-based symptom tracking enables patients or caregivers to record clinical events promptly, minimizing recall bias and improving the accuracy and completeness of data collection. This approach facilitates more precise monitoring of the interplay between infections and FMF flares, supports personalized management strategies, and may reduce unnecessary interventions such as unwarranted antibiotic use or hospitalization.

The present study aims to prospectively evaluate the relationship between infections and disease flares in FMF patients using a dedicated mobile application. By systematically recording infection-related symptoms and attack characteristics in real time, the study seeks to: clarify the temporal association between infections and FMF flares; assess the clinical impact of infection-triggered flares on disease course; and evaluate the feasibility and usability of mobile application-based symptom tracking in routine FMF care.

This study is expected to provide more robust evidence on the infection-flare relationship in FMF, refine clinical decision-making during febrile episodes, and contribute to the integration of digital health tools into the routine management of autoinflammatory diseases.