ArticleFrontiers in physiology2013
Short-term vs. long-term heart rate variability in ischemic cardiomyopathy risk stratification.
Article in Frontiers in physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Does Physiological Stress Slow Down Wound Healing in Patients With Diabetes?Journal of diabetes science and technology · 2017Trial
- Advancing remote photoplethysmography (rPPG) to facilitate cardiac monitoring in naturalistic settings using webcam technology.Behavior research methods · 2026Article
- Implications of heart rate variability measured using wearable electrocardiogram devices in diagnosing Parkinson's disease and its association with neuroimaging biomarkers: a case-control study.Frontiers in aging neuroscience · 2025Article
- Short-term heart rate variability: A potential approach to frailty assessment in older adults.Aging medicine (Milton (N.S.W)) · 2024Article
- Performance of heart rate adjusted heart rate variability for risk stratification of sudden cardiac death.BMC cardiovascular disorders · 2023Article
- Prediction of major adverse cardiovascular events in patients with acute coronary syndrome: Development and validation of a non-invasive nomogram model based on autonomic nervous system assessment.Frontiers in cardiovascular medicine · 2022Article
- Novel Insights into the Predictors of Obstructive Sleep Apnea Syndrome in Patients with Chronic Coronary Syndrome: Development of a Predicting Model.Oxidative medicine and cellular longevity · 2022Article
- Nonlinear analysis of heart rhythm in preeclampsia: a route for translational clinical applications in neuroinflammation.Clinical hypertension · 2021Review
- A Comprehensive Review of Techniques for Processing and Analyzing Fetal Heart Rate Signals.Sensors (Basel, Switzerland) · 2021Review
- Novel Insights Into the Interaction Between the Autonomic Nervous System and Inflammation on Coronary Physiology: A Quantitative Flow Ratio Study.Frontiers in cardiovascular medicine · 2021Article
- Comparison of fetal heart rate variability by symbolic dynamics at the third trimester of pregnancy and low-risk parturition.Heliyon · 2020Article
- Slow 0.1 Hz Breathing and Body Posture Induced Perturbations of RRI and Respiratory Signal Complexity and Cardiorespiratory Coupling.Frontiers in physiology · 2020Article
- Heart Rate Variability in the Perinatal Period: A Critical and Conceptual Review.Frontiers in neuroscience · 2020Review
- Spectral Analysis of Heart Rate Variability: Time Window Matters.Frontiers in neurology · 2019Article
- Validity of the Polar V800 monitor for measuring heart rate variability in mountain running route conditions.European journal of applied physiology · 2018Article
- A novel cardiovascular risk stratification model incorporating ECG and heart rate variability for patients presenting to the emergency department with chest pain.Critical care (London, England) · 2016Observational
- Increased prevalence of cardiac autonomic dysfunction at different degrees of glucose intolerance in the general population: the KORA S4 survey.Diabetologia · 2015Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In industrialized countries with aging populations, heart failure affects 0.3-2% of the general population. The investigation of 24 h-ECG recordings revealed the potential of nonlinear indices of heart rate variability (HRV) for enhanced risk stratification in patients with ischemic heart failure (IHF). However, long-term analyses are time-consuming, expensive, and delay the initial diagnosis. The objective of this study was to investigate whether 30 min short-term HRV analysis is sufficient for comparable risk stratification in IHF in comparison to 24 h-HRV analysis. From 256 IHF patients [221 at low risk (IHFLR) and 35 at high risk (IHFHR)] (a) 24 h beat-to-beat time series (b) the first 30 min segment (c) the 30 min most stationary day segment and (d) the 30 min most stationary night segment were investigated. We calculated linear (time and frequency domain) and nonlinear HRV analysis indices. Optimal parameter sets for risk stratification in IHF were determined for 24 h and for each 30 min segment by applying discriminant analysis on significant clinical and non-clinical indices. Long- and short-term HRV indices from frequency domain and particularly from nonlinear dynamics revealed high univariate significances (p < 0.01) discriminating between IHFLR and IHFHR. For multivariate risk stratification, optimal mixed parameter sets consisting of 5 indices (clinical and nonlinear) achieved 80.4% AUC (area under the curve of receiver operating characteristics) from 24 h HRV analysis, 84.3% AUC from first 30 min, 82.2 % AUC from daytime 30 min and 81.7% AUC from nighttime 30 min. The optimal parameter set obtained from the first 30 min showed nearly the same classification power when compared to the optimal 24 h-parameter set. As results from stationary daytime and nighttime, 30 min segments indicate that short-term analyses of 30 min may provide at least a comparable risk stratification power in IHF in comparison to a 24 h analysis period.
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