Key result
A noninvasive systemic vascular resistance estimation model using photoplethysmogram and piezoelectric sensor data achieved an R-value of approximately 0.77 in a validation set.
Why the study?
Systemic vascular resistance guides therapy and provides prognostic information across clinical conditions, but typically requires invasive measurement with a pulmonary artery catheter.
Does a wearable device combining piezoelectric and PPG sensors accurately estimate systemic vascular resistance compared to invasive pulmonary artery catheterization in heart catheterization patients?
Observational
Does a wearable device combining piezoelectric and PPG sensors accurately estimate systemic vascular resistance compared to invasive pulmonary artery catheterization in heart catheterization patients?
Effect estimate: R-value 0.77
A novel noninvasive wearable device combining piezoelectric and PPG sensors provides reasonably accurate estimates of systemic vascular resistance, potentially offering a noninvasive alternative to pulmonary artery catheterization.
May aid noninvasive SVR monitoring development; hypothesis-generating and requires prospective validation before clinical use.
Knowledge of systemic vascular resistance (SVR) can help guide therapies or offer prognostic information for a variety of medical conditions though typically must be measured invasively using a pulmonary artery catheter. Features from peripheral arterial pressure waveforms collected by a compliant piezoelectric pressure sensor are proposed for improving SVR estimation accuracy, in combination with photoplethysmogram (PPG) data. Linear regression was performed on feature sets collected with a wearable device from heart catheterization patients from whom gold standard measurements are available from a pulmonary artery catheter. Four features of piezoelectric and PPG waveforms are identified for a model of SVR from a training sample. In a separate validation set, the SVR estimation model achieves an R-value of approximately 0.77. Results show substantial improvement over estimates from the literature using PPG waveforms alone.
No takes yet. Share an insight, caveat, or question.
Zhang et al. (2021) conducted an observational in Heart catheterization patients. Photoplethysmogram and piezoelectric sensor data vs. Photoplethysmogram waveforms alone was evaluated on Systemic vascular resistance (SVR) estimation accuracy (R-value 0.77). A noninvasive systemic vascular resistance estimation model using photoplethysmogram and piezoelectric sensor data achieved an R-value of approximately 0.77 in a validation set.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: