| A new classification of diabetic gait pattern based on cluster analysis of biomechanical data. | |
| | |
MedLine Citation:
|
PMID: 20920432 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
BACKGROUND: The diabetic foot, one of the most serious complications of diabetes mellitus and a major risk factor for plantar ulceration, is determined mainly by peripheral neuropathy. Neuropathic patients exhibit decreased stability while standing as well as during dynamic conditions. A new methodology for diabetic gait pattern classification based on cluster analysis has been proposed that aims to identify groups of subjects with similar patterns of gait and verify if three-dimensional gait data are able to distinguish diabetic gait patterns from one of the control subjects. METHOD: The gait of 20 nondiabetic individuals and 46 diabetes patients with and without peripheral neuropathy was analyzed [mean age 59.0 (2.9) and 61.1(4.4) years, mean body mass index (BMI) 24.0 (2.8), and 26.3 (2.0)]. K-means cluster analysis was applied to classify the subjects' gait patterns through the analysis of their ground reaction forces, joints and segments (trunk, hip, knee, ankle) angles, and moments. RESULTS: Cluster analysis classification led to definition of four well-separated clusters: one aggregating just neuropathic subjects, one aggregating both neuropathics and non-neuropathics, one including only diabetes patients, and one including either controls or diabetic and neuropathic subjects. CONCLUSIONS: Cluster analysis was useful in grouping subjects with similar gait patterns and provided evidence that there were subgroups that might otherwise not be observed if a group ensemble was presented for any specific variable. In particular, we observed the presence of neuropathic subjects with a gait similar to the controls and diabetes patients with a long disease duration with a gait as altered as the neuropathic one. |
| | |
Authors:
|
Zimi Sawacha; Gabriella Guarneri; Angelo Avogaro; Claudio Cobelli |
Publication Detail:
|
Type: Journal Article Date: 2010-09-01 |
Journal Detail:
|
Title: Journal of diabetes science and technology Volume: 4 ISSN: 1932-2968 ISO Abbreviation: J Diabetes Sci Technol Publication Date: 2010 Sep |
Date Detail:
|
Created Date: 2010-10-05 Completed Date: 2011-02-10 Revised Date: 2011-09-13 |
Medline Journal Info:
|
Nlm Unique ID: 101306166 Medline TA: J Diabetes Sci Technol Country: United States |
Other Details:
|
Languages: eng Pagination: 1127-38 Citation Subset: IM |
Copyright Information:
|
© 2010 Diabetes Technology Society. |
Affiliation:
|
Department of Information Engineering, University of Padova, Padova, Italy. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Aged Ankle Joint / physiopathology Biomechanics Case-Control Studies Cluster Analysis Diabetic Neuropathies / complications* Female Gait Disorders, Neurologic / classification*, etiology*, physiopathology Hip Joint / physiopathology Humans Knee Joint / physiopathology Male Middle Aged Photogrammetry |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Novel use of platelet-rich plasma to augment curative diabetic foot surgery.
Next Document: Use of sugar on the healing of diabetic ulcers: a review.