ArticleFrontiers in neuroscience2023
Evaluation of autonomic nervous system activity in intradialytic hypotension using entropy and skin sympathetic nerve activity.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 4 citations in OpenAlex.
- Advancing entropy analysis for heart rate variability: clinical insights for aging and diabetes.Frontiers in physiology · 2026Review
- Predictive performance of central venous oxygen saturation, lactate, base excess, and alactic base excess for intradialytic hypotension.BMC nephrology · 2025Observational
- Relationship between serum PTH, potassium (K+), calcium (Ca2+), blood phosphate (PO4), parathyroid hormone (PTH), albumin (ALB) levels and orthostatic hypotension in hemodialysis patients.Journal of medical biochemistry · 2025Article
- Autonomic Nervous Regulation was Associated with Sleep Quality Among Peritoneal Dialysis Patients.Nature and science of sleep · 2025Article
- [Research Progress in Stellate Ganglion Block and Regulation of Autonomic Nervous Functions].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024Review
- Usefulness of the heart rate variability test in predicting intradialytic hypotension in patients undergoing chronic haemodialysis.Clinical kidney journal · 2024Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The function of the autonomic nervous system (ANS) is crucial in the development of intradialytic hypotension (IDH). This study introduced the entropy of heart rate variability (HRV) and skin sympathetic nerve activity (SKNA) to provide a complementary nonlinear and dynamic perspective for evaluating ANS function concerning IDH. Methods: 93 patients undergoing hemodialysis (HD) were enrolled, and the baseline data, electrocardiogram (ECG), and SKNA were collected. The patients were separated into the IDH and nonIDH groups based on the thresholds, which were characterized as reductions in systolic blood pressure (SBP) of at least 20 mm Hg or mean arterial pressure (MAP) of at least 10 mm Hg. We developed a logistic regression model for IDH after analyzing the changes in the time domain, frequency domain, the entropy of HRV, and SKNA indices during HD. Results: After 4-h HD, the detected results for heart rate, the ratio of low frequency and high frequency (LF/HF), and average SKNA (aSKNA) all increased in both groups. Nine out of the ten HRV indices and aSKNA in the nonIDH group were higher than those in the IDH group at most moments. aSKNA was positively correlated with heart rate ( Discussion: The new nonlinear and dynamic assessment perspectives provided by the entropy of HRV and SKNA help to distinguish differences in ANS patterns between IDH patients and nonIDH patients and have the potential to be used in clinical monitoring for HD patients.
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