Objectives
To use daily data collected via a smartphone app for characterisation of patient-reported and “symptom-based” (using an a priori definition) flares in an adult idiopathic inflammatory myopathy (IIM) cohort.
Methods
UK adults with an IIM answered patient-reported outcome measurements (PROMs) daily via a smartphone app during a 91 day study. Daily symptom PROMs addressed global activity, overall pain, myalgia, fatigue, and weakness (0-100 visual analogue scale). Patient-reported flares were recorded via a weekly app question. “Symptom-based” flares were defined via an a priori definition based on increase of daily symptom data from the previous four day mean.
Results
Twenty participants (65% female) participated. Patient-reported flares occurred on a median of five weeks (IQR 3, 7) per participant, out of a possible 13. The mean of each symptom score was significantly higher in flare weeks, compared to non-flare weeks (e.g. mean flare week myalgia score 34/100, vs 21/100 during non-flare week, t-test p-value <0.01).
Fatigue accounted for the most symptom-based flares (incidence-rate 23/100 person-days [95% CI 19, 27]), and myalgia the fewest (incidence rate 13/100 person-days [95% CI 11, 16]). Symptom-based flares typically resolved after three days, although fatigue-predominant flares lasted two days. The majority (69%) of patient-reported flare weeks coincided with at least one symptom-based flare.
Conclusions
IIM flares are frequent and associated with increased symptom scores. This study has demonstrated the ability to identify and characterise patient-reported and symptom-based flares (based on an a priori definition), using daily app-collected data.