Abstract
Introduction . Diabetic peripheral neuropathy (DPN) is the most common but least recognised and understood long term complication of type 2 diabetic patients (T2DM). There is a close association between obesity and type 2 diabetes as well as its complications. Nerve conduction study is an important non-invasive diagnostic modality used in the detection of diabetic peripheral neuropathy. Obesity is associated with increased oxidative stress and lipid peroxidation is thought to play a crucial role in the development of diabetic neuropathy. The aim of this study is to see the correlation of nerve conduction velocity parameters viz nerve conduction velocity and nerve conduction amplitude with the total body fat mass and oxidative stress markers. Methods . The study included 90 type 2 diabetes patients with clinically suggestible symptoms of diabetic peripheral neuropathy (DPN). 50 type 2 diabetic subjects without peripheral neuropathy served as control. Total body fat mass was measured using bioelectric impedance analysis. Oxidative stress markers viz total antioxidant capacity and malondialdehyde were measured using elisa kit. Nerve conduction study both motor and sensory was carried out in relevant nerves. Results . Serum levels of total antioxidant capacity and super oxide dismutase were significantly decreased in type 2 diabetic with neuropathy as compared to the ones without neuropathy. Serum levels of malondialdehyde, on the other hand, was significantly elevated. Motor nerve conduction velocity (MNCV) of ulnar and common peroneal nerve and sensory nerve conduction velocity of ulnar and sural showed a significantly decreased conduction velocity as compared to control. The total body fat mass showed a significant negative correlation with the motor conduction velocity of median, posterior tibial and sensory conduction velocity of median and sural nerve. Conclusion . The nerve conduction velocity test and total body fat mass evaluation is a cost- effective tool for earlier detection of neuropathy in type 2 diabetes patient.
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