Title :
Effect of hyperglycemia on cardiac autonomic function in type 2 diabetes
Author :
Tarvainen, Mika P. ; Lipponen, J.A. ; Al-Aubaidy, Hayder ; Jelinek, Herbert F.
Author_Institution :
Univ. of Eastern Finland, Kuopio, Finland
Abstract :
Heart rate variability (HRV) is reduced in diabetes mellitus (DM) patients, suggesting dysfunction of cardiac autonomic regulation which has been associated with increased risk for cardiac events. In this paper, we examined the associations of blood glucose level (BGL) and duration of diabetes with autonomic nervous system (ANS) function assessed by HRV analysis. Resting HRV and BGL measures of 32 healthy controls and 54 type 2 DM (T2DM) patients were analyzed. HRV data were analyzed using time-domain, frequency-domain and nonlinear methods. HRV parameters showed a clear difference between controls and T2DM patients. BGL correlated negatively with mean RR interval. In addition, a decrease in HRV was observed in hyperglycemia, most clear changes shown in triangular interpolation of RR interval histogram (TINN), root mean square of successive RR interval differences (RMSSD) and Poincaré plot index SD1. Duration of diabetes was clearly associated with decreased HRV, shown by decreases in standard deviation of RR intervals (SDNN), HRV triangular index (HRVi), TINN, LF power and Poincaré plot index SD2. Glycemic values were not associated with disease duration.
Keywords :
biochemistry; blood; cardiology; diseases; frequency-domain analysis; interpolation; mean square error methods; neurophysiology; nonlinear equations; time-domain analysis; 54 type 2 DM T2DM patients; ANS function; HRV triangular index; Poincare plot index SD1; RR interval histogram; RR intervals standard deviation; autonomic nervous system function assessment; blood glucose level association; cardiac autonomic regulation; diabetes mellitus patients; disease duration; frequency-domain method; heart rate variability; hyperglycemia; nonlinear method; resting HRV data; root mean square method; time-domain method; triangular interpolation; type 2 diabetes; Blood; Correlation; Diabetes; Diseases; Frequency domain analysis; Heart rate variability;
Conference_Titel :
Computing in Cardiology (CinC), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4673-2076-4