Key result
Higher morning sample entropy in AF is linked to increased ischemic stroke risk.
Why the study?
Heart rate variability nonlinear characteristics such as multiscale entropy contain clinically significant information in AFib, but their relationship to ischemic stroke risk required investigation in stroke-naïve patients.
Does multiscale entropy analysis of heart rate variability predict ischemic stroke risk in stroke-naïve patients with atrial fibrillation?
Cohort (n=628)
No
Does multiscale entropy analysis of heart rate variability predict ischemic stroke risk in stroke-naïve patients with atrial fibrillation?
Multiscale entropy analysis of heart rate variability from Holter monitors may provide a novel, non-linear risk stratification tool for ischemic stroke in stroke-naïve AFib patients.
Morning entropy may refine AF stroke risk assessment; leaves open added value beyond CHA2DS2-VASc and need for prospective validation.
It has been recognized that heart rate variability (HRV), defined as the fluctuation of ventricular response intervals in atrial fibrillation (AFib) patients, is not completely random, and its nonlinear characteristics, such as multiscale entropy (MSE), contain clinically significant information. We investigated the relationship between ischemic stroke risk and HRV with a large number of stroke-naïve AFib patients (628 patients), focusing on those who had never developed an ischemic/hemorrhagic stroke before the heart rate measurement. The CHA2DS2-VASc score was calculated from the baseline clinical characteristics, while the HRV analysis was made from the recording of morning, afternoon, and evening. Subsequently, we performed Kaplan-Meier method and cumulative incidence function with mortality as a competing risk to estimate the survival time function. We found that patients with sample entropy (SE(s)) ≥ 0.68 at 210 s had a significantly higher risk of an ischemic stroke occurrence in the morning recording. Meanwhile, the afternoon recording showed that those with SE(s) ≥ 0.76 at 240 s and SE(s) ≥ 0.78 at 270 s had a significantly lower risk of ischemic stroke occurrence. Therefore, SE(s) at 210 s (morning) and 240 s ≤ s ≤ 270 s (afternoon) demonstrated a statistically significant predictive value for ischemic stroke in stroke-naïve AFib patients.
No takes yet. Share an insight, caveat, or question.
Chairina et al. (2021) conducted a cohort in Stroke-naïve persistent atrial fibrillation (n=628). Sample entropy (SE(s)) of heart rate variability vs. Patients with lower or different sample entropy thresholds (e.g., SE(s) < 0.68 for the morning recording) was evaluated on Ischemic stroke occurrence. In stroke-naïve patients with atrial fibrillation, a higher sample entropy (SE(s) ≥ 0.68) at 210 seconds during the morning was significantly associated with a higher risk of ischemic stroke.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: