Impact of diabetic retinopathy on pulse wave analysis-derived arterial stiffness and hemodynamic parameters: A cross-sectional study from Gujarat, India

Solanki, Jayesh Dalpatbhai; Kakadia, Param J; Mehta, Hemant B; Kakadia, Jagdeep M; Shah, Chinmay J

doi:10.4103/ijo.ijo_3529_20

Cited by 1 publication

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References 22 publications

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“…[ 4 6 ] However, few studies did not find any association between central aortic stiffness and T2DM retinopathy. [ 13 14 ] In the present study, baPWV was found to be significantly higher in T2DM patients with retinopathy than in T2DM patients without retinopathy. Moreover, a positive association of baPWV with the T2DM retinopathy group was found.…”

Section: Discussionsupporting

confidence: 52%

Assessment of the relationship of systemic vascular dysfunction and cardiac autonomic neuropathy (CAN) with diabetic retinopathy

Hari Prakash,

Parija,

Kar

2023

Journal of Family Medicine and Primary Care

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Context: Diabetic retinopathy, a form of microvasculopathy, is the leading cause of the visual abnormality. However, there is no conclusive evidence of the relationship of systemic vascular dysfunction with retinal microvasculopathy. In addition, diabetes-associated cardiac autonomic neuropathy may also compromise vascular function. Aims: The present study intends to correlate arterial stiffness, endothelial function, and heart rate variability (HRV) as a standardized measure of cardiac autonomic neuropathy with diabetic retinopathy. Settings and Design: The present cross-sectional, observational study was conducted in the Department of Physiology. Materials and Methods: Twenty subjects were recruited in group 1 (T2DM, type 2 diabetes mellitus patients, without retinopathy) and group 2 (T2DM with retinopathy). The vascular parameters such as heart rate, peripheral and central blood pressure, augmentation index [AIx (%)], brachial -ankle pulse wave velocity (baPWV), and reactive hyperaemia index (RHI) were recorded. Statistical Analysis Used: Independent sample t-test (for parametric data) and Mann–Whitney U test (for non-parametric data) were employed to compare the variables of two groups. Spearman correlation was used to examine the relationship among the parameters. Linear regression analysis was performed to examine the important vascular predictor for diabetic retinopathy. Results: baPWV was significantly higher in group 2 than in group 1 and positively associated with group 2. RHI was significantly less in group 2 than group 1 and negatively associated with group 2. Among HRV metrics, standard deviation of successive differences (SDSD), root mean square of successive differences between normal heartbeats (RMSSD), and high frequency (HF) power were significantly decreased in group 2 than in group 1. SDSD, RMSSD, and HF power were negatively associated with group 2. RHI emerged as a significant predictor of diabetic retinopathy following linear regression. Conclusions: Overall, the result of the present study indicates that metabolic dysregulation of glucose may affect the normal functioning of the autonomic nervous system and vascular function. Therefore, screening of vascular function and cardiac autonomic tone may be advocated in diabetic patients in routine clinics to examine the existence of any comorbid condition, such as diabetic retinopathy, as systemic vascular changes may also affect ophthalmic vasculature.

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