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Towards a Remote Patient Monitoring Platform for Comprehensive Risk Evaluations for People with Diabetic Foot Ulcers.

Gozde Cay¹, M G Finco¹, Jason Garcia²

¹Digital Health and Access Center (DiHAC), Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA.

Sensors (Basel, Switzerland)

|May 25, 2024

Summary

This summary is machine-generated.

A new remote monitoring platform for diabetic foot ulcers (DFUs) uses digital health metrics to assess healing risks. Early results show promise in identifying factors like poor adherence and cognitive impairment that hinder DFU recovery.

Keywords:

diabetes diabetic foot ulcer digital health personalized care remote patient monitoring smart offloading telemedicine

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Area of Science:

Biomedical Engineering
Digital Health
Wound Care

Background:

Diabetic foot ulcers (DFUs) present a significant challenge in patient care, leading to increased hospitalizations and amputations.
Effective remote monitoring is crucial for improving DFU management and patient outcomes.

Purpose of the Study:

To introduce and evaluate a novel remote monitoring platform for diabetic foot ulcer (DFU) care.
To assess the feasibility of integrating digital health metrics, behavioral data, and clinical parameters for comprehensive risk profiling.

Main Methods:

A remote monitoring platform was developed, incorporating smart offloading devices to capture behavioral metrics (adherence, steps, cadence).
The system integrated remotely measurable frailty, phenotypic metrics, wound characteristics, and clinical data, including cognitive function.
A feasibility study was conducted with 124 DFU patients over 12 weeks, analyzing digital biomarkers categorized by risk levels (low, medium, high) for unfavorable outcomes.

Main Results:

39% of patients experienced unfavorable outcomes, including dropout, adverse events, or non-healing within the 12-week study period.
Digital biomarkers were visualized using color-coded radar plots, enabling a holistic overview of patient risk factors.
Initial case reports highlighted the platform's ability to pinpoint risk factors such as high step counts, poor offloading adherence, and cognitive impairment.

Conclusions:

The developed remote monitoring platform shows promise in identifying key risk factors associated with unfavorable outcomes in DFU patients.
Holistic visualization of integrated digital and clinical data aids in pinpointing specific challenges in DFU care.
Further research is necessary to validate the platform's effectiveness in personalizing treatment strategies and improving wound healing outcomes.