Autonomic nervous system function assessed by conventional and spectral analysis might be useful in terms of predicting retinal deterioration in persons with type 1 diabetes mellitus

2016 ◽  
Vol 116 ◽  
pp. 111-116 ◽  
Author(s):  
L. Duvnjak ◽  
M. Tomić ◽  
K. Blaslov ◽  
S. Vučković Rebrina
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Nervous System ◽  
Spectral Analysis ◽  
Autonomic Nervous System ◽  
Type 1 Diabetes Mellitus ◽  
System Function ◽  
Autonomic Nervous System Function ◽  
Nervous System Function

scholarly journals Effects of Prior Intensive Insulin Therapy on Cardiac Autonomic Nervous System Function in Type 1 Diabetes Mellitus

Circulation ◽  
2009 ◽  
Vol 119 (22) ◽  
pp. 2886-2893 ◽  
Author(s):  
Rodica Pop-Busui ◽  
Phillip A. Low ◽  
Barbara H. Waberski ◽  
Catherine L. Martin ◽  
James W. Albers ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Insulin Therapy ◽  
Intensive Insulin Therapy ◽  
System Function ◽  
Cardiac Autonomic Nervous System ◽  
Nervous System Function

scholarly journals Dynamics of heart rate variability analysed through nonlinear and linear dynamics is already impaired in young type 1 diabetic subjects

2016 ◽  
Vol 26 (7) ◽  
pp. 1383-1390 ◽  
Author(s):  
Naiara M. Souza ◽  
Thais R. Giacon ◽  
Francis L. Pacagnelli ◽  
Marianne P. C. R. Barbosa ◽  
Vitor E. Valenti ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Type 1 Diabetes ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Type 1 Diabetes Mellitus ◽  
Autonomic Nervous ◽  
Young Subjects

AbstractBackgroundAutonomic diabetic neuropathy is one of the most common complications of type 1 diabetes mellitus, and studies using heart rate variability to investigate these individuals have shown inconclusive results regarding autonomic nervous system activation.AimsTo investigate the dynamics of heart rate in young subjects with type 1 diabetes mellitus through nonlinear and linear methods of heart rate variability.MethodsWe evaluated 20 subjects with type 1 diabetes mellitus and 23 healthy control subjects. We obtained the following nonlinear indices from the recurrence plot: recurrence rate (REC), determinism (DET), and Shanon entropy (ES), and we analysed indices in the frequency (LF and HF in ms2 and normalised units – nu – and LF/HF ratio) and time domains (SDNN and RMSSD), through analysis of 1000 R–R intervals, captured by a heart rate monitor.ResultsThere were reduced values (p<0.05) for individuals with type 1 diabetes mellitus compared with healthy subjects in the following indices: DET, REC, ES, RMSSD, SDNN, LF (ms2), and HF (ms2). In relation to the recurrence plot, subjects with type 1 diabetes mellitus demonstrated lower recurrence and greater variation in their plot, inter-group and intra-group, respectively.ConclusionYoung subjects with type 1 diabetes mellitus have autonomic nervous system behaviour that tends to randomness compared with healthy young subjects. Moreover, this behaviour is related to reduced sympathetic and parasympathetic activity of the autonomic nervous system.

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