Key result
Heart rate variability predicts higher risk of cardiovascular events and mortality in end-stage kidney disease.
Why the study?
Autonomic nervous system dysfunction carries significant risks in ESKD patients, but there is a lack of clear understanding regarding the clinical significance of HRV in predicting prognoses in this population.
Does heart rate variability (HRV) measurement predict prognoses and clinical outcomes in end-stage kidney disease patients on dialysis?
Does heart rate variability (HRV) measurement predict prognoses and clinical outcomes in end-stage kidney disease patients on dialysis?
Heart rate variability is a promising, non-invasive tool to evaluate autonomic nervous system dysfunction and predict mortality, cardiovascular events, and dialysis-related complications in patients with end-stage kidney disease.
May aid risk stratification in dialysis patients; leaves open prospective validation before clinical adoption.
Autonomic nervous system (ANS) dysfunction is prevalent in end-stage kidney disease (ESKD) patients, carrying significant risks for morbidity and mortality. Heart rate variability (HRV) is a simple and non-invasive method to evaluate ANS functions and predict prognoses in specific patient populations. Since there is a lack of a clear understanding of the clinical significance of HRV in predicting prognoses in ESKD patients, an updated review on this topic is urgently warranted. The clinical significance of HRV in dialysis patients includes its associations with metabolic syndrome, nutritional status, intradialytic hypotension, vascular access failure, major adverse cardiovascular events, and mortality. These findings underscore the essential role of the autonomic reserve, which might denote the elevation of ANS activity as a response to external stimulus. Patients with a higher level of sympathetic activity at the resting stage, but who are unable to adequately elevate their sympathetic activity under stress might be susceptible to a worse outcome in critical circumstances. Further applications of HRV include HRV biofeedback, risk classification, and real-time HRV monitoring. Overall, HRV is an optimal tool for predicting prognoses in dialysis patients. Further study is encouraged in order to gain a clearer understanding of the clinical significance and application of HRV, and thereby enhance the care of ESKD patients.
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Jhen et al. (2024) conducted a review in End-stage kidney disease (ESKD) requiring dialysis. Heart rate variability (HRV) was evaluated. Heart rate variability is a non-invasive tool that significantly predicts adverse outcomes, including cardiovascular events, mortality, and intradialytic hypotension, in patients with end-stage kidney disease.
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