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Pulse Arrival Time and Pulse Interval as Accurate Markers to Detect Mechanical Alternans
Stefan van Duijvenboden1,2, Ben Hanson3, Nick Child4
1Institute of Cardiovascular Science, University College London, London, UK. ucemvan@ucl.ac.uk.
Annals of Biomedical Engineering
|February 14, 2019
Summary
Mechanical alternans (MA), a heart failure predictor, can now be detected non-invasively. Novel cardiovascular markers like pulse arrival time (PAT) and pulse wave interval (PI) show high correlation with MA, enabling affordable risk prediction.
Area of Science:
- Cardiology
- Biomedical Engineering
- Physiology
Background:
- Mechanical alternans (MA) is a significant predictor of poor prognosis in heart failure and cardiomyopathy.
- Current MA detection requires invasive arterial pressure monitoring, limiting its clinical application.
- Understanding MA pathophysiology and developing non-invasive detection methods are crucial.
Purpose of the Study:
- To identify novel, non-invasive cardiovascular correlates of mechanical alternans (MA).
- To facilitate affordable and accessible MA detection for improved patient risk stratification.
- To advance the understanding of MA's underlying pathophysiology in the human heart.
Main Methods:
- Mechanical alternans (MA) was induced by ventricular pacing in 12 healthy subjects.
- Simultaneous recordings of arterial pressure, ECG, and respiration were analyzed.
- Cardiovascular correlates including dPdtmax, pulse arrival time (PAT), and pulse wave interval (PI) were assessed before and after beta-blockade.
Main Results:
- MA was detected in 30% of recordings, with prevalence reduced by beta-blockade (50% to 11%).
- Alternans in dPdtmax, PAT, and PI demonstrated high sensitivity and specificity for MA detection.
- PAT and PI alternans showed strong temporal synchronization with MA, suggesting their utility as non-invasive markers.
Conclusions:
- Cardiac contractility appears to be a key factor in the development of MA.
- Non-invasive markers such as PAT and PI are highly correlated with invasive MA measurements.
- These findings support the potential for affordable, non-invasive MA detection using PAT and PI for risk prediction in cardiovascular diseases.
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