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Association of cardiovascular risk using non-linear heart rate variability measures with the framingham risk score in a rural population

Citation

Jelinek, HF and Imam, HM and Al-Aubaidy, H and Khandoker, AH, Association of cardiovascular risk using non-linear heart rate variability measures with the framingham risk score in a rural population, Frontiers in Physiology, 4 Article 186. ISSN 1664-042X (2013) [Refereed Article]


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Copyright 2013 the authors. Distributed under Creative Commons Attribution ("CC BY") licence.

DOI: doi:10.3389/fphys.2013.00186

Abstract

Cardiovascular risk can be calculated using the Framingham cardiovascular disease (CVD) risk score and provides a risk stratification from mild to very high CVD risk percentage over 10 years. This equation represents a complex interaction between age, gender, cholesterol status, blood pressure, diabetes status, and smoking. Heart rate variability (HRV) is a measure of how the autonomic nervous system (ANS) modulates the heart rate. HRV measures are sensitive to age, gender, disease status such as diabetes and hypertension and processes leading to atherosclerosis. We investigated whether HRV measures are a suitable, simple, noninvasive alternative to differentiate between the four main Framingham associated CVD risk categories. In this study we applied the tone-entropy (T-E) algorithm and complex correlation measure (CCM) for analysis of HRV obtained from 20 min. ECG recordings and correlated the HRV score with the stratification results using the Framingham risk equation. Both entropy and CCM had significant analysis of variance (ANOVA) results [F(₁₇₂, 3) = 9.51; <0.0001]. Bonferroni post hoc analysis indicated a significant difference between mild, high and very high cardiac risk groups applying tone-entropy (p < 0.01). CCM detected a difference in temporal dynamics of the RR intervals between the mild and very high CVD risk groups (p < 0.01). Our results indicate a good agreement between the T-E and CCM algorithm and the Framingham CVD risk score, suggesting that this algorithm may be of use for initial screening of cardiovascular risk as it is noninvasive, economical and easy to use in clinical practice.

Item Details

Item Type:Refereed Article
Keywords:Type 2 diabetes mellitus, Framingham risk score, Autonomic Nervous System Dysfunction
Research Division:Medical and Health Sciences
Research Group:Cardiorespiratory Medicine and Haematology
Research Field:Cardiology (incl. Cardiovascular Diseases)
Objective Division:Health
Objective Group:Clinical Health (Organs, Diseases and Abnormal Conditions)
Objective Field:Diabetes
Author:Al-Aubaidy, H (Dr Hayder Al-Aubaidy)
ID Code:95729
Year Published:2013
Web of Science® Times Cited:13
Deposited By:Medicine (Discipline)
Deposited On:2014-10-08
Last Modified:2017-11-03
Downloads:364 View Download Statistics

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