Painful diabetic neuropathy has always been a challenging complication of diabetes mellitus. Emerging theories suggest that early dysaesthesia associated with painful neuropathy may act as a marker for the development of the 'at risk' foot, allowing preventative clinical strategies to be undertaken. The mechanisms of neuropathic pain are complex. The authors' intentions are to help members of the diabetes care team better understand and appreciate the diverse symptoms reported by patients. The various treatments available for painful neuropathy are discussed in detail. Robust comparative studies on such treatments are, however, unavailable and the authors have designed a logical approach to management based on best current evidence and their own clinical experience.
There is some evidence to suggest that fungal infection of the foot is a factor in the development of lower limb cellulitis, but further robust research is needed to confirm these findings and quantify the risk that fungi pose, particularly to the diabetic foot. Meanwhile, improved surveillance and treatment of tinea infections on the foot by healthcare professionals should be encouraged to reduce potential complications.
Data on reversibility of neuropathy are scarce and our 8-year series shows a continual deterioration in VPT in patients with a threshold > 25 V despite modest improvements in glycaemic control and lipid parameters. This work also supports a vascular association with neuropathy and identifies neuropathic patients as a high-risk cardiovascular group in whom, despite little influence on neuropathy itself, the above metabolic factors should be actively addressed.
Abstract-A large proportion of individuals who live with type-2 diabetes suffer from plantar sensory neuropathy. Regular testing and assessment for the condition is required to avoid ulceration or other damage to patient's feet. Currently accepted practice involves a trained clinician testing a patient's feet manually with a hand-held nylon monofilament probe. The procedure is timeconsuming, labor-intensive, requires special training, is prone to error and repeatability is difficult. With the vast increase in type-2 diabetes, the number of plantar sensory neuropathy sufferers has already grown to such an extent as to make a traditional manual test problematic. This paper presents the first investigation of a novel approach to automatically identify the pressure points on a given patient's foot for the examination of sensory neuropathy via optical image processing incorporating plantar anthropometry. The method automatically selects suitable test points on the plantar surface that correspond to those repeatedly chosen by a trained podiatrist. The proposed system automatically identifies the specific pressure points at different locations, namely the toe (hallux), metatarsal heads and heel (Calcaneum) areas. The approach is generic and has shown 100% reliability on the available database used. The database consists of Chinese, Asian, African and Caucasian foot images.Index Terms-Optical image processing, plantar surface, peripheral sensory neuropathy (PSN), diabetes, foot anthropometry, binary image, contours, polygon, skin tone, hue saturation voluminous (HSV), red, green blue (RGB).
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