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Nonlinear methods to assess changes in heart rate variability in type 2 diabetic patients

BACKGROUND: Heart rate variability (HRV) is an important indicator of autonomic modulation of cardiovascular function. Diabetes can alter cardiac autonomic modulation by damaging afferent inputs, thereby increasing the risk of cardiovascular disease. We applied nonlinear analytical methods to identify parameters associated with HRV that are indicative of changes in autonomic modulation of heart function in diabetic patients. OBJECTIVE: We analyzed differences in HRV patterns between diabetic and age-matched healthy control subjects using nonlinear methods. METHODS: Methods: Lagged Poincaré plot, autocorrelation, and detrended fluctuation analysis were applied to analyze HRV in electrocardiography (ECG) recordings. RESULTS: Lagged Poincaré plot analysis revealed a decrease in the standard deviation of instantaneous beat-to-beat interval variability (SD1) and in the ratio of SD1 to the continuous long-term R-R interval variability (SD12) in the diabetic group, indicating a decrease in heart rate parasympathetic modulation. The detrended fluctuation exponent derived from long-term fitting was higher than the short-term one in the diabetic population, which was also consistent with decreased parasympathetic input. The autocorrelation function of the deviation of inter-beat intervals exhibited a highly correlated pattern in the diabetic group compared with the control group. CONCLUSIONS: The HRV pattern significantly differs between diabetic patients and healthy subjects. All three statistical methods employed in the study may prove useful to detect the onset and extent of autonomic neuropathy in diabetic patients.

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Metabolic syndrome, insulin resistance and cardiovascular disease in type-1 diabetes mellitus

Ticiana C. Rodrigues et al. Luis Henrique Canani Jorge L. Gross

Metabolic syndrome (MS) is a complex disorder represented by a cluster of cardiovascular risk factors related to central fat distribution and insulin resistance (IR), and is associated with early mortality in non-diabetic individuals and in patients with type-2 diabetes mellitus (DM). The presence of MS and its components has also been described in patients with type-1 DM and may contribute to the increased risk of cardiovascular disease seen in this patient population. The objective of this study was to review the available evidences of the role of MS and IR in the development of cardiovascular disease in patients with type-1 DM.

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Nonlinear methods to assess changes in heart rate variability in type 2 diabetic patients

Metabolic syndrome, insulin resistance and cardiovascular disease in type-1 diabetes mellitus

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Electronic Document Format (Vancouver)

Electronic Document Format (ABNT)

Electronic Document Format (APA)

Electronic Document Format (ISO)