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

被引：1

作者：

DuBord, Ashley Y. ^{[1
,2
]}

Paolillo, Emily W. ^{[1
]}

Staffaroni, Adam M. ^{[1
]}

机构：

[1] Univ Calif San Francisco, Weill Inst Neurosciences, Dept Neurol, Memory & Aging Ctr, San Francisco, CA USA

[2] 2 Diabet Technol Soc, Burlingame, CA USA

来源：

JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY | 2024年 / 18卷 / 06期

关键词：

type; 2; diabetes; Alzheimer's disease; mild cognitive impairment; cognitive decline; digital biomarkers; health technology; ALZHEIMERS-DISEASE; AUTOMATIC DETECTION; OLDER-ADULTS; IMPAIRMENT; DEMENTIA; MELLITUS; BATTERY; INSULIN; RECOGNITION; PERFORMANCE;

D O I：

10.1177/19322968231171399

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

引用

页码：1489 / 1499

页数：11

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