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Measurement of Individualized Factors Associated with Tinnitus Burden

与耳鸣负担相关的个体化因素的测量

基本信息

批准号：
10553257
负责人：
Jay F. PiccirIllo
金额：
$ 44.68万
依托单位：
WASHINGTON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-02-10 至 2025-01-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10553257
关键词：
Adult Affect American Basic Science Biological Cellular Phone Characteristics Chronic Disease Clinical Cognitive Cognitive Therapy Collection Data Data Analyses Data Analytics Data Collection Development Ecological momentary assessment Equation Etiology Funding Opportunities General Population Guidelines Health Heterogeneity Individual Intervention Judgment Lead Longitudinal Studies Magnetic Resonance Imaging Maintenance Measurement Measures Methodology Methods Modeling Neurobehavioral Manifestations Outcome Assessment Outcome Measure Participant Patient Care Patient Self-Report Patients Persons Prediction of Response to Therapy Process Reporting Research Research Design Research Personnel Rest Series Services Source Statistical Methods Study Subject Suicide Surveys Symptoms Techniques Testing Therapeutic Time Tinnitus Uncertainty Universities Variant Veterans Washington anxiety symptoms arm causal model clinical practice disability distraction efficacy clinical trial experience improved individual patient individual response innovation interest neuroimaging novel patient response personalized medicine predicting response profiles in patients recruit response treatment choice treatment response web site

项目摘要

PROJECT SUMMARY/ABSTRACT In response to the guidelines of the PAR-18-352 Funding Opportunity Announcement, this project is proposing a data and analysis method for the reliable and accurate personalized characterization of tinnitus. Bothersome tinnitus is an enormous source of suffering and disability. It is estimated that nearly 15% of the general public — over 50 million Americans — experience some form of tinnitus. The proposed study will assess a new methodology to combine ecological momentary assessment (EMA)-based, intensely longitudinal data with new analytical techniques. The study hypothesis is that the capture of tinnitus patients’ individual profiles will allow prediction of the currently puzzling heterogeneity of both treatment response and neuroimaging findings. This will be a single arm, longitudinal study design with repeat assessments, and 110 participants will be recruited from Washington University. Participants will be expected to complete 4 EMA surveys via smartphone every day for 3 weeks for a total of 84 pre-CBT surveys. Participants will also undergo resting-state functional connectivity MRI (rs-fcMRI) prior to the start of CBT. Tinnitus offers a particularly appropriate condition to illustrate the utility of improved and reliable personalized assessment because of the heterogeneity in both neuroimaging and treatment findings. The Specific Aims are: (1) To obtain person-specific drivers of tinnitus through personalized ambulatory assessment and ML- DSEM analyses. (2) To examine the relationship between ML-DSEM-defined drivers of tinnitus and patient response to cognitive behavioral therapy (CBT). (3) To examine the association between ML-DSEM-defined drivers of tinnitus, treatment response, and neuroimaging. The successful conduct of the proposed research will advance tinnitus research through improved patient assessment and data analytical techniques, which will result in greater efficacy of clinical trials and move patient care toward personalized medicine. Such an approach is widely applicable to health conditions that are heterogeneous and widely variable over time. Eventually, a clinician could order the acquisition of longitudinal data through a website or app, which would then render an informative personalized model based on the new analytical techniques described in this research. In this way, the end result of this research could be the true realization of personalized medicine in clinical practice.

项目摘要/摘要为了响应PAR-18-352融资机会公告的指导方针，本项目是为耳鸣患者可靠、准确的个性化定征提供数据和分析方法。烦人的耳鸣是痛苦和残疾的巨大来源。据估计，近15%的普通民众--超过5000万美国人--会经历某种形式的耳鸣。拟议的研究将评估一种新的方法，将基于生态瞬时评估(EMA)的、高度纵向的使用新的分析技术获取数据。研究假设是对耳鸣患者个体的捕捉配置文件将允许预测目前令人困惑的治疗反应和神经影像表现。这将是一项具有重复评估的单臂纵向研究设计，共110项参与者将从华盛顿大学招募。参与者将完成4个EMA 在为期3周的时间里，每天通过智能手机进行调查，总共进行84次CBT前调查。参与者还将接受在CBT开始前进行静息状态功能连接磁共振成像(RS-fcMRI)。耳鸣提供了一种特别适合的条件来说明改进和可靠的个性化的效用评估是因为神经影像和治疗结果的异质性。具体目标是： (1)通过个性化动态评估和最大似然法获得耳鸣的特定人驱动因素- DSEM分析。 (2)研究ML-DSEM定义的耳鸣驱动因素与患者反应的关系。认知行为疗法(CBT)。 (3)研究ML-DSEM定义的耳鸣驱动因素、治疗反应和神经成像。拟议研究的成功进行将通过改善耳鸣的研究患者评估和数据分析技术，这将导致临床试验和将患者护理转向个性化医疗。这种方法广泛适用于健康领域。情况是不同的，并且随着时间的推移而变化很大。最终，临床医生可以下令通过网站或应用程序获取纵向数据，从而提供信息基于本研究描述的新分析技术的个性化模型。如此一来，最终本研究的结果可为临床真正实现个性化医疗服务。练习一下。