microclimate_dst.pdf (276.18 kB)
Prediction of diabetic foot ulceration: The value of using microclimate sensor arrays
journal contribution
posted on 2019-08-15, 08:22 authored by Petra Jones, Richard Bibb, Melanie Davies, Kamlesh Khunti, Matthew McCarthy, David Webb, Francesco ZaccardiBackground: Accurately predicting the risk of diabetic foot ulceration (DFU) could
dramatically reduce the enormous burden of chronic wound management and
amputation. Yet, current prognostic models are unable to precisely predict DFU
events. Typically, efforts have focused on individual factors like temperature,
pressure or shear rather than the overall foot microclimate.
Method: A systematic review was conducted by searching PubMed reports with no
restrictions on start date covering literature published until 20 February 2019 using
relevant keywords, including temperature, pressure, shear and relative humidity.
We review the use of these variables as predictors of DFU, highlighting gaps in our
current understanding and suggesting which specific features should be combined
to develop a real-time microclimate prognostic model.
Results: Current prognostic models rely either solely on contralateral temperature,
pressure or shear measurement; these parameters, however, rarely reach 50%
specificity in relation to DFU. There is also considerable variation in methodological
investigation, anatomical sensor configuration and resting time prior to temperature
measurements (5-20 minutes). Few studies have considered relative humidity and
mean skin resistance.
Conclusions: Very limited evidence supports the use of single clinical parameters in
predicting the risk of DFU. We suggest the microclimate as a whole should be
considered to predict DFU more effectively and suggest nine specific features which
appear to be implicated for further investigation. Technology supports real-time inshoe data collection and wireless transmission, providing a potentially rich source of
data to better predict risk of DFU.
History
School
- Design
Published in
Journal of Diabetes Science and TechnologyVolume
14Issue
1Pages
55-64Publisher
SageVersion
- AM (Accepted Manuscript)
Rights holder
© Diabetes Technology SocietyPublisher statement
Jones, P., Bibb, R., Davies, M., Khunti, K., McCarthy, M., Webb, D., & Zaccardi, F., Prediction of Diabetic Foot Ulceration: The Value of Using Microclimate Sensor Arrays, Journal of Diabetes Science and Technology 14(1), pp. 55-64. Copyright © 2019 (Diabetes Technology Society). DOI: 10.1177/1932296819877194. Users who receive access to an article through a repository are reminded that the article is protected by copyright and reuse is restricted to non-commercial and no derivative uses. Users may also download and save a local copy of an article accessed in an institutional repository for the user's personal reference.Acceptance date
2019-08-05Publication date
2019-10-09Copyright date
2019ISSN
1932-2968eISSN
1932-2968Publisher version
Language
- en
Depositor
Prof Richard BibbUsage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC