Association Between Heart Rate Variability Measures and Blood Glucose Levels: Implications for Noninvasive Glucose Monitoring for Diabetes

被引:44
|
作者
Rothberg, Leon J. [1 ]
Lees, Ty [1 ]
Clifton-Bligh, Roderick [2 ]
Lal, Sara [1 ]
机构
[1] Univ Technol Sydney, Sch Life Sci, Neurosci Res Unit, POB 123, Broadway, NSW 2007, Australia
[2] Kolling Inst Med Res, Northern Clin Sch, Med, Sydney, NSW, Australia
关键词
CARDIAC AUTONOMIC NEUROPATHY; METABOLIC SYNDROME; SPECTRAL-ANALYSIS; SHORT-TERM; HYPERGLYCEMIA; MELLITUS; INSULIN; TYPE-1; INGESTION; OUTCOMES;
D O I
10.1089/dia.2016.0010
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Diabetes mellitus (DM) is a global metabolic epidemic associated with numerous adverse complications. Invasive finger prick tests or invasive monitors are currently the most common means of monitoring and controlling blood glucose levels (BGLs). Heart rate variability (HRV) is a noninvasive measure of the autonomic nervous system, and its dynamic physiological nature may provide an alternative means of blood glucose monitoring. However, the relationship between BGL and HRV parameters remains relatively unknown. Materials and Methods: Thirty-two participants with diabetes (39.97 +/- 17.21 years of age) and 31 without diabetes (27.87 +/- 10.55 years of age) participated in the current study. Fasting preceded a 10-min three-lead electrocardiogram (ECG), which was followed by a finger prick blood glucose assessment. Following this, a regular meal was consumed, and 30 min after ingestion, a second postprandial 10-min ECG was obtained, and blood glucose assessment was conducted. Results: Low-frequency (LF) power, high-frequency (HF) power, and total power (TP) of HRV were negatively associated with BGL in participants with DM. Additionally, the ratio of LF to HF was positively correlated with BGL. Duration of DM was also associated with multiple HRV parameters, with negative associations to both LF and HF parameters as well as TP. Conclusions: This study demonstrates links between specific HRV variables and BGL. In the future the dynamic nature of HRV could provide a unique and real-time method for monitoring BGL, for continuous noninvasive prediction and/or management of DM.
引用
收藏
页码:366 / 376
页数:11
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