Valvular & structural heart diseaseCase-control study
Wearable SENsor to Diagnose and Assess SEverity of Aortic Stenosis (SENSE-AS)
- prospective, single-center case-control study
- controls age- and sex-matched to the severe aortic stenosis (AS) cohort
Authors' conclusion
A chest-worn multimodal wearable sensor accurately measures AV AT and predicts AV Vmax, supporting the feasibility of accessible, lower-cost tools for early detection and longitudinal monitoring of AS.
Study context
- Population
- Subjects with severe, moderate, and mild AS according to echocardiography guidelines, and controls without ASsubjects enrolled · severe AS 10 · moderate AS 10 · mild AS 10 · controls without AS 10
- Participants
- 40 subjects
- Comparison
- Sensor-derived acceleration time (AT) vs Doppler-derived aortic valve acceleration time
- severen = 10
- moderaten = 10
- mildn = 10
- controlsn = 10
- Outcome
- Correlation between Doppler-derived AV AT and sensor-derived AT
Main finding
As reported in the abstract
r
0.85; 95% CI: 0.73-0.92; P < 0.001
Observational data: associations, not effects.
Secondary outcomes
AT by group
- Progressively longer AT from controls through increasing AS severities
- P < 0.01
Machine learning model predictions on unseen patient data vs aortic valve (AV) Vmax
- r
- 0.76; 95% CI: 0.68-0.83; P < 0.001
- model trained on a limited subset of AS patient recordings (n = 32)
Baseline characteristics
- mean age across groups
- 77.8 years
- female
- 55% (n = 22)
Original publication
Wearable SENsor to Diagnose and Assess SEverity of Aortic Stenosis (SENSE-AS). JACC Adv. Published 16 March 2026. doi:10.1016/j.jacadv.2026.102699
Summarised from the published abstract; every number is checked against it