AB1531-HPR ECOLOGICAL MOMENTARY ASSESSMENT OF THE SYMPTOMS IN SJÖGREN’S SYNDROME: DEVELOPMENT AND VALIDATION OF A DEDICATED WebApp

Abstract

BackgroundPrimary Sjögren’s syndrome (pSS) is a rare systemic autoimmune disease with no specific treatment at present. To better assess patient symptoms, we have developed a web application (WebApp) to collect patient symptom intensity on a regular basis.ObjectivesTo measure the daily variability of symptoms using the WebApp. We also evaluated its ease of use.Methods45 consecutive patients with pSS were included in 3 referral centers. Symptoms were assessed during the baseline and 3 month visits. We collected the VAS relating to fatigue, dryness and pain as well as the ESSPRI score. Patients used the WebApp daily for 3 months. The variability of symptoms over time was assessed by the predicted median error. This value was determined using a linear regression model, in order to predict the value at the 3rd month, then this value was compared to the actual value collected at the 3rd month during the clinical visit. The ease of use of the WebApp was assessed using a satisfaction score (SUS score).ResultsOf the 45 patients included, 91.1% were women with an average age of 57 years, and low systemic disease activity (84.4% had an ESSDAI score below 5). The intensity of the symptoms collected during the clinical visits was similar at baseline and at 3 months. The values ​​of the median error for each measurement are between 0.5 and 0.8. The 3-month predicted median error values ​​ranged from 2 to -3. The patients all used the web application for 3 months with good attendance (80% of data completion) and were satisfied with this tool (median SUS score = 90).ConclusionSymptoms of pSS fluctuate from day to day in the majority of patients, making a point measurement imprecise. The developed WebApp is easy to use, and could allow more sensitive detection of the effect of a therapeutic intervention. This tool will soon be evaluated during prospective interventional clinical trials.AcknowledgementsI would like to thanks all people who have helped and were directly or indirectly involved in this study.Disclosure of InterestsNone declared