Heart failure & cardiomyopathies
Noninvasive Pulmonary Capillary Wedge Pressure Estimation in Heart Failure Patients With the Use of Wearable Sensing and AI
Authors' conclusion
The CardioTag and its ML algorithm estimate PCWP with accuracy approaching implantable hemodynamic sensors
Study context
- Population
- Inpatients and outpatients with heart failure with reduced ejection fraction (HFrEF) (EF ≤40%)
- Participants
- 310 inpatients
- Comparison
- Wearable sensor + machine learning (ML) model vs RHC for pulmonary capillary wedge pressure (PCWP) estimation
- Outcome
- Error of PCWP estimate vs RHC
Methodological detailsmulticentre, prospective, blinded core laboratory, held-out test set
- Multicentre
- Prospective
- Blinded core laboratory
- Held-out test set
Performance
As reported in the abstract
PCWP estimation error vs RHC (held-out test set)
Error of model-estimated PCWP
1.04 ± 5.57 mm Hg
Limits of agreement
−9.9 to 11.9 mm Hg
Original publication
Noninvasive Pulmonary Capillary Wedge Pressure Estimation in Heart Failure Patients With the Use of Wearable Sensing and AI. JACC Heart Fail. Published 20 June 2025. doi:10.
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