Can plantar soft tissue mechanics enhance prognosis of diabetic foot ulcer?. (April 2017)

• Record Type: Journal Article
• Authors: Naemi, R.; Chatzistergos, P.; Suresh, S.; Sundar, L.; Chockalingam, N.; Ramachandran, A.
• Is Part Of: Diabetes research and clinical practice. Volume 126(2017)
• Page Start: 182
• Page End: 191
• Publication Date: 2017-04
• Subjects: Stratification -- Risk factors -- Prospective studies -- Ultrasonography -- Diabetic neuropathies -- Diabetes complications; Diabetes -- Periodicals; Diabetes Mellitus -- Periodicals; 616.462
• DOI: 10.1016/j.diabres.2017.02.002
• Languages: English
• ISSNs: 0168-8227

Abstract

Highlights: Higher tissue thickness at the 1st Metatarsal head was associated with DFU incident. Less tissue stiffness at the 1st Metatarsal head was associated with DFU incident. Adding tissue biomechanical parameters to the model improved its prognosis power. Plantar soft tissue assessment can potentially enhance DFU prediction accuracy. Abstract: Aim: To investigate if the assessment of the mechanical properties of plantar soft tissue can increase the accuracy of predicting Diabetic Foot Ulceration (DFU). Methods: 40 patients with diabetic neuropathy and no DFU were recruited. Commonly assessed clinical parameters along with plantar soft tissue stiffness and thickness were measured at baseline using ultrasound elastography technique. 7 patients developed foot ulceration during a 12 months follow-up. Logistic regression was used to identify parameters that contribute to predicting the DFU incidence. The effect of using parameters related to the mechanical behaviour of plantar soft tissue on the specificity, sensitivity, prediction strength and accuracy of the predicting models for DFU was assessed. Results: Patients with higher plantar soft tissue thickness and lower stiffness at the 1st Metatarsal head area showed an increased risk of DFU. Adding plantar soft tissue stiffness and thickness to the model improved its specificity (by 3%), sensitivity (by 14%), prediction accuracy (by 5%) and prognosis strength (by 1%). The model containing all predictors was able to effectively ( χ 2 (8, N = 40) = 17.55, P < 0.05) distinguish between the patients with and without DFU incidence. Conclusion: The mechanical properties of plantar soft tissue can be used to improve the predictability of DFU in moderate/high risk patients.