Use of wearable sensors to improve the early diagnosis of DLB

使用可穿戴传感器改善 DLB 的早期诊断

• 批准号: 10017135
• 负责人: Debby Wen Tsuang
• 金额: $ 19.02万
• 依托单位: SEATTLE INST FOR BIOMEDICAL/CLINICAL RES
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10017135
• 关键词: Address; Adverse effects; Aging; Alzheimer' s Disease; Antipsychotic Agents; Behavior monitoring; Behavioral; Biotechnology; Caregiver Burden; Caring; Clinical; Clinical Research; Clinical Trials; Clinical assessments; Cognition; Cognitive; Consensus; Data; Diagnosis; Diagnostic; Discrimination; Disease; Disease Progression; Early Diagnosis; Ecological momentary assessment; Engineering; Exclusion; Exposure to; Future; Impaired cognition; Individual; Infrastructure; Intervention; Lead; Lewy Body Dementia; Measurement; Measures; Medical; Memory; Methods; Motor; Movement; Nature; Patients; Pharmaceutical Preparations; Phase; Polysomnography; Population; Research Infrastructure; Research Personnel; Risk; Sleep; Symptoms; Syndrome; Testing; Thinking; Time; Treatment Efficacy; accurate diagnosis; actigraphy; amnestic mild cognitive impairment; clinical Diagnosis; clinical care; experience; improved; informant; medical specialties; mild cognitive impairment; novel; predictive modeling; prevention clinical trial; rate of change; sleep behavior; wearable device; wearable sensor technology

Project Summary/Abstract Dementia with Lewy bodies (DLB) is difficult to diagnose early in its disease course due to the overlap in initial symptoms with Alzheimer's disease (AD). Many individuals with DLB therefore experience long delays in receiving an accurate diagnosis. This lack of sensitivity in the consensus diagnosis for DLB, particularly outside of specialty-care centers, means that DLB is associated with delayed interventions and increased caregiver burden. We thus propose a two-phase study that investigates the utility of combining data from wearable sensors, ecological momentary assessments (EMAs), and traditional measures as a multidomain approach for the early diagnosis of DLB. To collect and analyze these integrated objective measurements, we will establish a research infrastructure that includes an interdisciplinary team of engineers, clinicians, researchers, and biotechnology companies. In the R21, we will estimate and compare the distributions of cognitive, motor, sleep, and behavioral monitoring profiles in subjects with probable DLB (n=20) and AD dementia (n=30). If the R21 demonstrates the feasibility of using wearable sensors and EMAs in this population and their ability to improve discrimination between DLB and AD, we will proceed to the next study phase. The R33 aims to characterize and compare the trajectories of these same traditional and novel cognitive, motor, sleep, and behavioral monitoring profiles in subjects with mild cognitive impairment (MCI) and one or more core DLB features (MCI-DLB; n=75) and in subjects with amnestic MCI and no core DLB features (MCI-AD; n=25). We hypothesize that a composite measure combining information from the baseline and trajectory measures in the longitudinal R33 will improve discrimination between individuals with MCI-DLB who will convert to DLB, AD, or remain MCI. We anticipate that the results of this study will have tangible benefits to researchers, clinicians, patients, and the caretakers of patients. The improved ability to differentiate early DLB from early AD will assist researchers in selecting appropriate subjects for clinical trials of AD and related disorders (ADRD; e.g., DLB). Moreover, because of the longitudinal nature of the R33, researchers and clinicians will have accessible data on disease progression, which can be tremendously helpful in evaluating the efficacy of treatment. Most importantly, by improving the diagnosis of early DLB, clinicians will be better equipped to avoid prescribing potentially harmful treatments (e.g., antipsychotics for DLB) and to more accurately tailor current or future interventions to patients earlier in their disease course at the time that such interventions are most likely to be effective.

项目总结/文摘