Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Diabetes Technology Society, Burlingame, CA, USA.
J Diabetes Sci Technol. 2024 Nov;18(6):1489-1499. doi: 10.1177/19322968231171399. Epub 2023 Apr 27.
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.
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性传感器因其具有改善认知障碍早期检测和监测的潜力而受到关注。鉴于 T2D 患者认知障碍的高患病率，这些数字工具非常相关。进一步研究纳入远程数字认知、行为和运动功能生物标志物，可能能够全面描述 T2D 患者的病情，并最终改善临床护理和公平参与研究的机会。本文评论的目的是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中认知能力下降的可行性、有效性和局限性，并将这些见解应用于 T2D 患者。
