Remote Digital Technologies for the Early Detection and Monitoring of Cognitive Decline in Patients With Type 2 Diabetes: Insights From Studies of Neurodegenerative Diseases.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM Journal of Diabetes Science and Technology Pub Date : 2024-11-01 Epub Date: 2023-04-27 DOI:10.1177/19322968231171399

Ashley Y DuBord, Emily W Paolillo, Adam M Staffaroni

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Abstract

Type 2 diabetes (T2D) is a risk factor for cognitive decline. In neurodegenerative disease research, remote digital cognitive assessments and unobtrusive sensors are gaining traction for their potential to improve early detection and monitoring of cognitive impairment. Given the high prevalence of cognitive impairments in T2D, these digital tools are highly relevant. Further research incorporating remote digital biomarkers of cognition, behavior, and motor functioning may enable comprehensive characterizations of patients with T2D and may ultimately improve clinical care and equitable access to research participation. The aim of this commentary article is to review the feasibility, validity, and limitations of using remote digital cognitive tests and unobtrusive detection methods to identify and monitor cognitive decline in neurodegenerative conditions and apply these insights to patients with T2D.

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远程数字技术用于早期检测和监测 2 型糖尿病患者的认知功能衰退：神经退行性疾病研究的启示。

2 型糖尿病（T2D）是认知能力下降的一个风险因素。在神经退行性疾病研究中，远程数字认知评估和非侵入式传感器因其在改善认知障碍的早期检测和监测方面的潜力而受到越来越多的关注。鉴于认知障碍在 T2D 中的高发病率，这些数字工具具有很高的相关性。将认知、行为和运动功能的远程数字生物标志物纳入进一步的研究可能会全面描述 T2D 患者的特征，并最终改善临床护理和公平参与研究的机会。本评论文章旨在回顾使用远程数字认知测试和非侵入性检测方法来识别和监测神经退行性疾病认知功能下降的可行性、有效性和局限性，并将这些见解应用于 T2D 患者。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Diabetes Science and Technology Medicine-Internal Medicine

CiteScore

7.50

自引率

12.00%

发文量

148

期刊介绍： The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.