This review explores the complex relationship between diabetic neuropathy and cardiovascular disease (CVD). Neuropathy, a common complication of type 1 and type 2 diabetes, is divided into autonomic and peripheral types, each impacting cardiovascular health. Cardiovascular autonomic neuropathy, a form of autonomic neuropathy, is associated with various CVD complications, including arrhythmias, impaired nocturnal blood pressure regulation, and increased mortality. The prevalence of cardiovascular autonomic neuropathy varies depending on the type and duration of diabetes and is influenced by factors like glycemic control and metabolic stress. Peripheral polyneuropathy, which is often linked to diabetic foot disease, is also correlated with elevated CVD risk; research suggests shared pathophysiological mechanisms between peripheral neuropathy and cardiovascular conditions. Screening for neuropathies using tools like the Michigan Neuropathy Screening Instrument and heart rate variability analyses can facilitate early detection of CVD risk. Additionally, emerging technologies, like deep learning models, have demonstrated promise in detecting early cardiovascular patterns associated with autonomic neuropathy through electrocardiogram analysis. These findings underscore the value of integrating novel diagnostic approaches for early intervention. As CVD represents a leading cause of death among patients with diabetes, this article emphasizes the need for thorough assessment and proactive management of neuropathy to mitigate cardiovascular risk. The review recommends a multidisciplinary approach to diabetes care, including early screening, accurate risk stratification, and targeted therapeutic strategies to prevent or slow the progression of CVD in patients with autonomic and peripheral neuropathies. Further research is warranted to clarify the optimal intervention strategies for reducing CVD risk in these populations.
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