Abstract
In the above chapters, we have understood the entire pathogenesis and etiological factors consisting of neurological, vascular, musculoskeletal, and biomechanical variables. The prediction of diabetic foot syndrome using all these variables could be clinically very helpful. However, no such information is available for the Indian population. In the given context, we have proposed a regression model while assessing a larger pool of variables which could be used to predict the fate of diabetic foot syndrome clinically and thus prevent further complications including amputation. Let us identify all those factors in this chapter.
This is a preview of subscription content, log in via an institution.
References
Ahroni JH, Boyko EJ, Forsberg RC (1999) Clinical correlates of plantar pressure among diabetic veterans. Diabetes Care 22(6):965–972
Al-Rubeaan K, Al Derwish M, Ouizi S, Youssef AM, Subhani SN, Ibrahim HM, Alamri BN (2015) Diabetic foot complications and their risk factors from a large retrospective cohort study. PLoS One 10(5):e0124446
Barn R, Waaijman R, Nollet F, Woodburn J, Bus SA (2015) Predictors of barefoot plantar pressure during walking in patients with diabetes, peripheral neuropathy and a history of ulceration. PLoS One 10(2):e0117443
Cavanagh PR, Sims DS, Sanders LJ (1991) Body mass is a poor predictor of peak plantar pressure in diabetic men. Diabetes Care 14(8):750–755
Fawzy OA, Arafa AI, Wakeel MAE, Kareem SHA (2014) Plantar pressure as a risk assessment tool for diabetic foot ulceration in Egyptian patients with diabetes. Clin Med Insights Endocrinol Diabetes 7:31–39
Guldemond NA, Leffers P, Walenkamp GH, Schaper NC, Sanders AP, Nieman FH, van Rhijn LW (2008) Prediction of peak pressure from clinical and radiological measurements in patients with diabetes. BMC Endocr Disord 8(1):16
Kumar CG, Rajagopal KV, Hande HM, Maiya AG, Mayya SS (2015) Intrinsic foot muscle and plantar tissue changes in type 2 diabetes mellitus. J Diabetes 7(6):850–857
Naemi R, Chatzistergos P, Suresh S, Sundar L, Chockalingam N, Ramachandran A (2017) Can plantar soft tissue mechanics enhance prognosis of diabetic foot ulcer? Diabetes Res Clin Pract 126:182–191
Wrobel JS, Crews RT, Connolly JE (2009) Clinical factors associated with a conservative gait pattern in older male veterans with diabetes. J Foot Ankle Res 2(1):11
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Hazari, A., Maiya, G.A. (2020). Predictors of Diabetic Foot Syndrome. In: Clinical Biomechanics and its Implications on Diabetic Foot. Springer, Singapore. https://doi.org/10.1007/978-981-15-3681-6_13
Download citation
DOI: https://doi.org/10.1007/978-981-15-3681-6_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3680-9
Online ISBN: 978-981-15-3681-6
eBook Packages: MedicineMedicine (R0)