Clinical care and other categories posters: Neuropathy

Clinical care and other categories posters: Neuropathy P408A ‘smarter’ way of diagnosing the at‐risk foot: Development of a novel tool based on vibratory measurements in subjects with diabetesJM Dave1, VN Dubey1, V Lowes2, J Beavis3 and DV COPPINI21Faculty of Science and Technology, Bournemouth University, Bournemouth, UK, 2Department of Diabetes, Poole Hospital NHS Foundation Trust, Poole, UK, 3Faculty of Science and Technology, Bournemouth University, Bournemouth, UKAim: To identify optimal vibration perception thresholds (VPT) to help design a ‘smart’ risk assessment tool in subjects with diabetes.Methods: We used our clinical database (Diabeta3) to identify baseline VPT in subjects in whom there is at least a 10V rise in VPT (hallux pulp) using a Neurothesiometer over time. The gradient chosen is based on previous work. The data helped us model the vibratory frequencies of a plate device (Vibrascan), which produces a more objective risk assessment than VPT. We used a longitudinal multilevel model to analyse the data.Results: In 929 subjects with diabetes showing a 10‐V deterioration and who had a total of 8,874 measurements, VPT increased from 13.8 ± 8.4 V at first visit to 22.8 ± 13.2 V (p < 0.001) at final visit. In subjects (N = 3,920, 29,995 measurements) who showed a smaller deterioration (<10V), VPT increased from 13.7 ± 10.7 V to 14.6 ± 11.3 V (p < 0.01). Duration of diabetes, microalbuminuria http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Diabetic Medicine Wiley

Clinical care and other categories posters: Neuropathy

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Publisher
Wiley Subscription Services, Inc., A Wiley Company
Copyright
Diabetic Medicine © 2018 Diabetes UK
ISSN
0742-3071
eISSN
1464-5491
D.O.I.
10.1111/dme.47_13571
Publisher site
See Article on Publisher Site

Abstract

P408A ‘smarter’ way of diagnosing the at‐risk foot: Development of a novel tool based on vibratory measurements in subjects with diabetesJM Dave1, VN Dubey1, V Lowes2, J Beavis3 and DV COPPINI21Faculty of Science and Technology, Bournemouth University, Bournemouth, UK, 2Department of Diabetes, Poole Hospital NHS Foundation Trust, Poole, UK, 3Faculty of Science and Technology, Bournemouth University, Bournemouth, UKAim: To identify optimal vibration perception thresholds (VPT) to help design a ‘smart’ risk assessment tool in subjects with diabetes.Methods: We used our clinical database (Diabeta3) to identify baseline VPT in subjects in whom there is at least a 10V rise in VPT (hallux pulp) using a Neurothesiometer over time. The gradient chosen is based on previous work. The data helped us model the vibratory frequencies of a plate device (Vibrascan), which produces a more objective risk assessment than VPT. We used a longitudinal multilevel model to analyse the data.Results: In 929 subjects with diabetes showing a 10‐V deterioration and who had a total of 8,874 measurements, VPT increased from 13.8 ± 8.4 V at first visit to 22.8 ± 13.2 V (p < 0.001) at final visit. In subjects (N = 3,920, 29,995 measurements) who showed a smaller deterioration (<10V), VPT increased from 13.7 ± 10.7 V to 14.6 ± 11.3 V (p < 0.01). Duration of diabetes, microalbuminuria

Journal

Diabetic MedicineWiley

Published: Jan 1, 2018

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