Key result
Artificial intelligence estimation of carotid-femoral pulse wave velocity from an uncalibrated carotid waveform significantly predicted the risk of a first major cardiovascular event (HR 4.43).
Why the study?
Does an artificial intelligence method using a single uncalibrated carotid waveform accurately estimate carotid-femoral Pulse Wave Velocity and predict cardiovascular events?
Cohort (n=4,798)
No
Does an artificial intelligence method using a single uncalibrated carotid waveform accurately estimate carotid-femoral Pulse Wave Velocity and predict cardiovascular events?
Effect estimate: HR 4.43
p-value: p=0.008
An AI-based method using a single uncalibrated carotid waveform can accurately estimate carotid-femoral pulse wave velocity and predict long-term cardiovascular risk comparably to standard measured PWV.
In this article, we offer an artificial intelligence method to estimate the carotid-femoral Pulse Wave Velocity (PWV) non-invasively from one uncalibrated carotid waveform measured by tonometry and few routine clinical variables. Since the signal processing inputs to this machine learning algorithm are sensor agnostic, the presented method can accompany any medical instrument that provides a calibrated or uncalibrated carotid pressure waveform. Our results show that, for an unseen hold back test set population in the age range of 20 to 69, our model can estimate PWV with a Root-Mean-Square Error (RMSE) of 1.12 m/sec compared to the reference method. The results convey the fact that this model is a reliable surrogate of PWV. Our study also showed that estimated PWV was significantly associated with an increased risk of CVDs.
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Tavallali et al. (2018) conducted a cohort in Cardiovascular disease risk (n=4,798). Artificial intelligence estimated pulse wave velocity (PWV) vs. Measured PWV was evaluated on First major CVD event (HR 4.43, p=0.008). Artificial intelligence estimation of carotid-femoral pulse wave velocity from an uncalibrated carotid waveform significantly predicted the risk of a first major cardiovascular event (HR 4.43).
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