ArticleEntropy (Basel, Switzerland)2021
The Value of Heart Rhythm Complexity in Identifying High-Risk Pulmonary Hypertension Patients.
Article in Entropy (Basel, Switzerland), 2021. 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.
- Preselected and preferred immersive virtual reality versus narrative alone to induce post-stress relaxation in patients with pulmonary arterial hypertension: A pilot study on perceived stress and heart rate.British journal of health psychology · 2026Article
- Harnessing Nonlinear Mechanics to Transform Medical Diagnostics.Applied mechanics reviews · 2025Article
- Prediction models for lymph node metastasis in cervical cancer based on preoperative heart rate variability.Frontiers in neuroscience · 2024Article
- Modifications of long-term heart rate variability produced in an experimental model of diet-induced metabolic syndrome.Interface focus · 2023Article
- Heart rhythm complexity analysis in patients with inferior ST-elevation myocardial infarction.Scientific reports · 2023Article
- Physiological and Psychological Response to Acute Mental Stress in Female Patients Affected by Chronic Pulmonary Arterial Hypertension: An Explorative Controlled Pilot Trial.Pharmaceuticals (Basel, Switzerland) · 2023Article
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Authors and funding
13 authors.
Funding
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Abstract
Pulmonary hypertension (PH) is a fatal disease-even with state-of-the-art medical treatment. Non-invasive clinical tools for risk stratification are still lacking. The aim of this study was to investigate the clinical utility of heart rhythm complexity in risk stratification for PH patients. We prospectively enrolled 54 PH patients, including 20 high-risk patients (group A; defined as WHO functional class IV or class III with severely compromised hemodynamics), and 34 low-risk patients (group B). Both linear and non-linear heart rate variability (HRV) variables, including detrended fluctuation analysis (DFA) and multiscale entropy (MSE), were analyzed. In linear and non-linear HRV analysis, low frequency and high frequency ratio, DFAα1, MSE slope 5, scale 5, and area 6-20 were significantly lower in group A. Among all HRV variables, MSE scale 5 (AUC: 0.758) had the best predictive power to discriminate the two groups. In multivariable analysis, MSE scale 5 (
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