Key result
Reduced eGFR in HF is linked to ~18% fewer monotonic HR transitions, indicating autonomic dysfunction.
Why the study?
Early detection of renal impairment in HF is challenging, and conventional HRV metrics are limited in capturing directional and nonlinear autonomic dynamics during renal function decline.
Does heart rate transition dynamics analysis identify autonomic dysfunction associated with renal function decline in patients with chronic heart failure?
Cohort (n=358)
Yes
Does heart rate transition dynamics analysis identify autonomic dysfunction associated with renal function decline in patients with chronic heart failure?
Heart rate transition dynamics, specifically a novel transition stability index, can serve as a non-invasive digital biomarker for early detection of autonomic dysfunction associated with renal decline in heart failure patients.
Answers are grounded in this paper and cite their sources.
Extends autonomic HRV analysis in HF-CKD; hypothesis-generating and requires prospective validation before any clinical role.
Around half of heart failure (HF) patients develop chronic kidney disease (CKD) and early detection of renal impairment in HF remains a clinical challenge. Both HF and CKD are characterized by autonomic dysfunction, suggesting that early identification of autonomic dysregulation may assist in early diagnosis and intervention. Conventional heart rate variability (HRV) metrics serve as non-invasive markers of autonomic nervous system (ANS) function; however, they are limited in their ability to capture directional and nonlinear dynamics associated with autonomic impairment during renal function decline. In this study, we digitized heart rate (HR) changes from 5-minute electrocardiogram (ECG) recordings in 358 patients with chronic HF (CHF). We applied a first-order Markov model and motif pattern analyses to compare HR transition dynamics between patients with normal and reduced estimated glomerular filtration rate (eGFR). The results revealed decreased monotonic HR transitions and increased tonic fluctuations in patients with reduced eGFR. Building on these findings, we introduced a transition stability index (TSI), which was significantly lower in patients with reduced eGFR compared to those with normal eGFR (p < 0.05). These results suggest that TSI may serve as a novel indicator of autonomic dysfunction associated with renal decline. Motif analysis further supported these findings by identifying distinctive HR transition patterns in patients with low eGFR.
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Widatalla et al. (2025) conducted a cohort in Chronic heart failure with varying degrees of renal function (n=358). Reduced estimated glomerular filtration rate (Stage 3 CKD) vs. Normal estimated glomerular filtration rate was evaluated on Probability of monotonic heart rate deceleration runs (-1 → -1) (p=<0.05). Reduced estimated glomerular filtration rate in patients with chronic heart failure was associated with significantly decreased monotonic heart rate transitions and a lower transition stability index, indicating autonomic dysfunction.
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