Characterization of Heart Rate Variability Dynamics in Heart Failure Patients Admitted to Intensive Care Unit Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.22489/cinc.2022.209
· OA: W4323027547
Introduction:The high mortality and difficulty of diagnosis make Heart failure (HF) a severe burden for the healthcare system, especially in intensive care units (ICU).Goal: This work proposes a method to characterize HF patients using autonomic indices from electrocardiogram (ECG) recordings in the ICU.Methods: We considered 52 ICU patients from the MIMIC-III database subjected to brain natriuretic peptide (NT-proBNP) laboratory measurement during their stay, of which 41 showed a positive reading for likely HF due to elevated levels of the peptide (NT-proBNP>300 pg/mL).RR intervals from 1 hour ECG recordings in the hour preceding NT-proBNP measurements were selected, and a point process framework was applied to extract time-varying estimates of indices related to autonomic nervous system activity.A general linear mixed-effects model was used to analyze the dynamics of the two populations.Results: Results showed an increasing average RR interval in the negative population (p<0.001).In parallel, RR variability increased in negative subjects (p<0.001) and decreased in positive patients (p<0.001).High frequency power (p<0.001)further showed different dynamics between the two populations.Conclusions: Results point at different autonomic cardiac control dynamics in patients with positive NT-proBNP test in the hour preceding the measurement.
