Arrhythmias & electrophysiology
Behavioural digital biomarkers enable real-time monitoring of patient-reported outcomes: a substudy of the multicentre, prospective observational SafeHeart study
Authors' conclusion
Wearable digital biomarkers correlate with PROMs, and may be leveraged for real-time prediction.
Study context
- Population
- Patients with an ICD wearing a wrist accelerometer, Amsterdam and Copenhagen, May 2021–September 2022
- Participants
- 303 patients
- Primary endpoint
- Prediction of patient-reported outcome measures (PROMs) (KCCQ, EQ5D-5L) from behavioural digital biomarkers
- Follow-up
- Baseline and 6 months
Methodological detailsmulticentre, Multivariable Tobit regression models
- Multicentre
- Multivariable Tobit regression models
Primary result
As reported in the abstract
Prospective validation of Tobit models: observed vs predicted scores
Kansas City Cardiomyopathy Questionnaire (KCCQ) concordance correlation coefficient (CCC)
0.49
KCCQ mean difference
1.07 points
EQ5D-5L CCC
0.38
EQ5D-5L mean difference
0.02 points
Further findings
Association of digital biomarkers with PROM domains
- Significant correlations with patient-reported physical and social limitations, symptom severity and frequency, and quality of life
Original publication
Behavioural digital biomarkers enable real-time monitoring of patient-reported outcomes: a substudy of the multicentre, prospective observational SafeHeart study. Eur Heart J Qual Care Clin Outcomes. Published 6 December 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →