학술논문

The Relationship between Non-Linear Analysis of Heart Rate Variability, QTc Interval and Cardiovascular Risk Factors in Young Individuals with Pre-Diabetes.
Document Type
Article
Source
Romanian Journal of Diabetes Nutrition & Metabolic Diseases. Jan-Mar2020, Vol. 27 Issue 1, p50-56. 7p.
Subject
*HEART beat
*CARDIOVASCULAR diseases risk factors
*NONLINEAR analysis
*PREDIABETIC state
*BLOOD sugar
Language
ISSN
2068-8245
Abstract
Introduction: Cardiac autonomic functions and cardiovascular risk factors are closely associated with each other. This study aimed to evaluate the cardiac autonomic status employing the Poincaré plot and QTc in young pre-diabetic individuals and correlate it with the cardiovascular risk factors. Material and Methods: This was a cross-sectional study. The students participating in the health check-up program organized by the college were the study participants. Basal anthropometric measurements, detailed family, and personal medical history were documented. Autonomic functions were evaluated. Plasma glucose and lipid profile were evaluated biochemically. Based on the impaired fasting plasma glucose and impaired glucose tolerance values, subjects were classified as normal and pre-diabetes mellitus groups. Results: A total of 295 subjects (198 normal and 97 pre-diabetes mellitus), were evaluated. Standard descriptor 1 and 2 in the pre-diabetes mellitus group reported a significant decrease, p<0.0001, (95% CI 15.98, 19.07) (95%CI 31.73 37.26) compared to the normal group (95% CI 26.33, 30.27) (95% CI 48.39, 52.71). QTc was significantly increased in the pre-diabetes mellitus group, p<0.0001, (95% CI 415.62, 423.99). Body mass index, fasting plasma glucose, and lipid parameters reported as being significant independent variables were associated with autonomic function test parameters. Conclusion: Cardiac autonomic dysfunction starts appearing in the prediabetic stage itself. Body mass index and altered lipid profiles showed a significant association with increased blood glucose levels. Early detection at a young age can help to plan better prevention and treatment strategies. [ABSTRACT FROM AUTHOR]