Version 1
: Received: 14 April 2024 / Approved: 15 April 2024 / Online: 15 April 2024 (13:45:47 CEST)
How to cite:
Cay, G.; Finco, M.; Garcia, J.; McNitt-Gray, J.L.; Armstrong, D.G.; Najafi, B. Towards a Remote Patient Monitoring Platform for Comprehensive Risk Evaluation for People with Diabetic Foot Ulcers. Preprints2024, 2024040986. https://doi.org/10.20944/preprints202404.0986.v1
Cay, G.; Finco, M.; Garcia, J.; McNitt-Gray, J.L.; Armstrong, D.G.; Najafi, B. Towards a Remote Patient Monitoring Platform for Comprehensive Risk Evaluation for People with Diabetic Foot Ulcers. Preprints 2024, 2024040986. https://doi.org/10.20944/preprints202404.0986.v1
Cay, G.; Finco, M.; Garcia, J.; McNitt-Gray, J.L.; Armstrong, D.G.; Najafi, B. Towards a Remote Patient Monitoring Platform for Comprehensive Risk Evaluation for People with Diabetic Foot Ulcers. Preprints2024, 2024040986. https://doi.org/10.20944/preprints202404.0986.v1
APA Style
Cay, G., Finco, M., Garcia, J., McNitt-Gray, J.L., Armstrong, D.G., & Najafi, B. (2024). Towards a Remote Patient Monitoring Platform for Comprehensive Risk Evaluation for People with Diabetic Foot Ulcers. Preprints. https://doi.org/10.20944/preprints202404.0986.v1
Chicago/Turabian Style
Cay, G., David G. Armstrong and Bijan Najafi. 2024 "Towards a Remote Patient Monitoring Platform for Comprehensive Risk Evaluation for People with Diabetic Foot Ulcers" Preprints. https://doi.org/10.20944/preprints202404.0986.v1
Abstract
Diabetic foot ulcers (DFUs) significantly affect the lives of patients and increase the risk of hospital stay and amputation. We suggest a remote-monitoring platform for better DFU care. This system uses digital health metrics (scaled from 0 to 10, where higher scores indicate a greater risk of slow healing) to provide a comprehensive overview through a visual interface. The platform features smart offloading devices that capture behavioral metrics such as offloading adherence, daily steps, and cadence. Coupled with remotely measurable frailty and phenotypic metrics, it offers an in-depth patient profile. Additional demographic data, wound characteristics, and clinical parameters, such as cognitive function, were integrated, contributing to a comprehensive risk factor profile. We evaluated the feasibility of this platform with 124 DFU patients over 12 weeks; 39% experienced unfavorable outcomes such as dropout, adverse events, or non-healing. Digital biomarkers were benchmarked (0-10), categorized into low, medium, and high risk for unfavorable outcomes, and visually represented using color-coded radar plots. The initial results of case reports illustrate the value of this holistic visualization to pinpoint the underlying risk factors for unfavorable outcomes, including a high number of steps, poor adherence, and cognitive impairment. Although future studies are needed to validate the effectiveness of this visualization in personalizing care and improving wound outcomes, early results in identifying risk factors for unfavorable outcomes are promising.
Keywords
smart offloading; diabetes; diabetic foot ulcer; telemedicine; digital health; remote patient monitoring; personalized care
Subject
Engineering, Bioengineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
