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使用简单的家用系统早期检测和监测糖尿病足溃疡的初步临床经验:足部自拍。

Initial Clinical Experience with a Simple, Home System for Early Detection and Monitoring of Diabetic Foot Ulcers: The Foot Selfie.

机构信息

Department of Surgery, Southwestern Academic Limb Salvage Alliance, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA.

Center to Stream Healthcare in Place, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA.

出版信息

J Diabetes Sci Technol. 2023 Jan;17(1):79-88. doi: 10.1177/19322968211053348. Epub 2021 Oct 31.

Abstract

BACKGROUND

Diabetic foot ulcers (DFUs) are a leading cause of disability and morbidity. There is an unmet need for a simple, practical, home method to detect DFUs early and remotely monitor their healing.

METHOD

We developed a simple, inexpensive, smartphone-based, "" system that enables patients to photograph the plantar surface of their feet without assistance and transmit images to a remote server. In a pilot study, patients from a limb-salvage clinic were asked to image their feet daily for six months and to evaluate the system by questionnaire at five time points. Transmitted results were reviewed weekly.

RESULTS

Fifteen patients (10 male) used the system after approximately 5 minutes of instruction. Participants uploaded images on a median of 76% of eligible study days. The system captured and transmitted diagnostic quality images of the entire plantar surface of both feet, permitting clinical-management decisions on a remote basis. We monitored 12 active wounds and 39 pre-ulcerative lesions (five wounds and 13 pre-ulcerative lesions at study outset); we observed healing of seven wounds and reversal of 20 pre-ulcerative lesions. Participants rated the system as useful, empowering, and preferable to their previous methods of foot screening.

CONCLUSIONS

With minimal training, patients transmitted diagnostic-quality images from home on most days, allowing clinicians to review serial images. This system permits inexpensive home foot screening and monitoring of DFUs. Further studies are needed to determine whether it can reduce morbidity of DFUs and/or the associated cost of care. Artificial intelligence integration could improve scalability.

摘要

背景

糖尿病足溃疡(DFUs)是导致残疾和发病的主要原因。目前需要一种简单、实用、家庭用的方法来早期发现 DFUs,并远程监测其愈合情况。

方法

我们开发了一种简单、廉价、基于智能手机的“系统”,使患者能够在无需帮助的情况下拍摄足底的照片,并将图像传输到远程服务器。在一项初步研究中,肢保诊所的患者被要求在六个月内每天拍摄自己的脚部照片,并在五个时间点通过问卷评估该系统。每周审查传输结果。

结果

经过大约 5 分钟的指导,15 名患者(10 名男性)使用了该系统。参与者在符合条件的研究日中位数上传了 76%的图像。该系统可以捕获并传输整个足底的诊断质量图像,允许在远程基础上进行临床管理决策。我们监测了 12 个活动性伤口和 39 个溃疡前病变(研究开始时有 5 个伤口和 13 个溃疡前病变);我们观察到 7 个伤口愈合和 20 个溃疡前病变逆转。参与者认为该系统有用、有能力,并优于他们以前的足部筛查方法。

结论

经过最少的培训,患者可以在家中在大多数日子里传输诊断质量的图像,使临床医生能够查看连续的图像。该系统允许进行廉价的家庭足部筛查和监测 DFUs。还需要进一步的研究来确定它是否可以降低 DFUs 的发病率和/或相关的护理成本。人工智能集成可以提高可扩展性。

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