Heart failure & cardiomyopathies
Noninvasive Hemodynamic Assessment by a Sensor Patch: The PATCHWRK (PortAble TeCHnology for Wireless caRdiomyopathy tracKing) Study
Authors' conclusion
SANSA patch monitoring accurately measures key cardiac timing intervals to within the variability observed between echo views. As these intervals have prognostic value, SANSA-based longitudinal monitoring may facilitate early cardiomyopathy detection.
Study context
- Population
- Patients undergoing echo46 of the 50 patients (92%) had analyzable data
- Participants
- 50 patients
- Exposure
- Agreement between echo and SANSA estimates, compared with agreement between echo views
- Outcome
- DFT, PEP, and LVET
Main finding
As reported in the abstract
| Group | Diastolic filling time (DFT) | Pre-ejection period (PEP) | Left ventricular ejection time (LVET) |
|---|---|---|---|
| Echo | 416 ± 139 | 108 ± 32 | 300 ± 36 |
| SANSA | 431 ± 135 | 91 ± 35 | 285 ± 43 |
Diastolic filling time (DFT)
Echo416 ± 139
SANSA431 ± 135
Pre-ejection period (PEP)
Echo108 ± 32
SANSA91 ± 35
Left ventricular ejection time (LVET)
Echo300 ± 36
SANSA285 ± 43
Observational data: associations, not effects.
Further findings
Intraclass correlation coefficients (ICC) for SANSA vs echo
- DFT
- 0.92
- PEP
- 0.74
- LVET
- 0.76
ICC for tissue Doppler imaging vs pulsed wave estimates
- DFT
- 0.93
- PEP
- 0.83
- LVET
- 0.69
Baseline characteristics
- Mean ejection fraction
- 53% ± 8%
- Left bundle branch block
- 13 patients (26%)
Original publication
Noninvasive Hemodynamic Assessment by a Sensor Patch: The PATCHWRK (PortAble TeCHnology for Wireless caRdiomyopathy tracKing) Study. JACC Adv. Published 28 April 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →