Key result
Heart failure patients exhibited significantly decreased peak amplitude of the first Gaussian curve and increased peak amplitude of the second curve compared with normal subjects (P<0.001).
Why the study?
Does Gaussian modeling of carotid and radial artery pressure waveforms identify characteristic differences between normal subjects and heart failure patients?
Population
107 subjects (56 normal subjects and 51 patients with heart failure)
Comparison
Gaussian modeling of simultaneously recorded… vs Normal subjects
Design
Case-control
Authors
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May support noninvasive waveform analysis in heart failure research; leaves open clinical utility pending prospective validation.
Cross-Sectional (n=107)
Does Gaussian modeling of carotid and radial artery pressure waveforms identify characteristic differences between normal subjects and heart failure patients?
p-value: p=<0.001
Gaussian modeling of arterial pressure waveforms reveals distinct physiological differences between heart failure patients and normal subjects, suggesting potential clinical utility for waveform analysis.
Liu et al. (2014) conducted a cross-sectional in Heart failure (n=107). Heart failure vs. Normal subjects was evaluated on Peak amplitude, peak time, and half-width of three positive Gaussian functions modeling carotid and radial artery pressure waveforms (p=<0.001). Heart failure patients exhibited significantly decreased peak amplitude of the first Gaussian curve and increased peak amplitude of the second curve compared with normal subjects (P<0.001).
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