Key result
Two nonlinear heart rate variability variables (from empirical mode decomposition and symbolic dynamics) added independent prognostic information to a clinical model for cardiac death or urgent transplant.
Why the study?
Do nonlinear indices of heart rate variability add independent prognostic value for predicting cardiac death or urgent transplantation in stable chronic heart failure patients?
Population
200 stable chronic heart failure patients in sinus rhythm, median age 54, LVEF 23%, 88% NYHA class II-III.
Comparison
Assessment of 20 nonlinear heart rate… vs Standard clinical and functional risk factors…
Design
Cohort
Authors
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May refine HF risk stratification beyond clinical models; hypothesis-generating and should not yet change practice.
Cohort (n=200)
Do nonlinear indices of heart rate variability add independent prognostic value for predicting cardiac death or urgent transplantation in stable chronic heart failure patients?
Nonlinear indices of heart rate variability, specifically from empirical mode decomposition and symbolic dynamics, provide independent prognostic value beyond standard clinical risk factors in stable heart failure patients.
Maestri et al. (2007) conducted a cohort in chronic heart failure (n=200). Nonlinear indices of heart rate variability vs. Clinical risk factors and linear HRV indices was evaluated on Cardiac death or urgent transplantation. Two nonlinear heart rate variability variables (from empirical mode decomposition and symbolic dynamics) added independent prognostic information to a clinical model for cardiac death or urgent transplant.
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