Nonlinear Dynamics of Frailty in Aging

衰老过程中衰弱的非线性动力学

基本信息

批准号：
7591116
负责人：
LEWIS LIPSITZ
金额：
$ 15.81万
依托单位：
HEBREW REHABILITATION CENTER FOR AGED
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-05-01 至 2010-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7591116
关键词：
Age Aging Area Behavior Biometry Blood Coagulation Factor Blood Flow Velocity Blood Pressure Blood Vessels Body Weight decreased Cardiac Cardiopulmonary Cardiovascular Abnormalities Cardiovascular system Cerebrovascular Circulation Cerebrum Clinical Cognitive Complex Coupling Data Development Disease Elderly Entropy Equilibrium Fatigue Fractals Frail Elderly Funding Gait Goals Heart Rate Human Impaired cognition Impairment Incidence Individual Inflammatory Intervention Laboratories Lead Lung Measurement Measures Memory Muscle Muscle Weakness Nonlinear Dynamics Nursing Homes Organism Output Phase Physiological Physiological Adaptation Physiology Play Population Posture Process Program Research Project Grants Rehabilitation Centers Relative (related person)Reporting Research Research Personnel Resources Rest Risk Role Sampling Scientist Series Signs and Symptoms Speed Stress Symptoms Syndrome System Systems Biology Techniques Testing Time Translating United States National Institutes of Health Work aged base cerebrovascular cognitive function cytokine experience falls follow-up frailty functional decline gain of function improved medical schools muscle strength population based pressure prevent programs respiratory response sarcopenia success tool

项目摘要

Over the past 2 decades of collaborative work using the tools of nonlinear dynamics and fractal analysis, our research team has shown that aging and disease are associated with a loss of complexity in the dynamics of a variety of physiologic systems. We have proposed that this loss of complexitycan lead to reduced adaptive capacity, functional decline, and frailty. Nonlinear mathematical techniques that can quantify the dynamics of physiologic systems and their interactions may, therefore, help characterize the syndrome of frailty. Accordingly, we aim: 1) To determine cross- sectionally in a representative population of elderly people aged 70 years and over, whether there is a relationship between "frailty" and loss of complexity in the dynamics of multiple physiologic systems, including cardiovascular (interbeat (RR) intervals and blood pressure (BP)), cerebrovascular (cerebral blood flow velocity (BFV)), respiratory (interbreath intervals), and balance (center-of-pressure trajectories) control systems. We will also determine whether interactions between these systems degrade in frail elderly individuals by examining the correlations, coherence, phase, and transfer function gains between the dynamic measures of interacting systems (e.g., cardiac and respiratory, or systemic BP and cerebral BFV). 2) To determine whether a loss of complexity in cardiovascular, cerebrovascular, and/or balance dynamics, is associated with an impaired ability to adapt to common physiologic stresses imposed on these systems. We will examine specifically the relationships between: a) resting BP, RR intervals, or cerebral blood flow dynamics and their responses to posture change, and b) quiet standing center-of pressure trajectories and their response to a superimposed cognitive task. 3) To determine,longitudinally over a two-year follow-up period in the same population,whether reduced complexity in the dynamics of these physiologic systems at baseline, or loss of complexity in these systems over time, is predictive of the subsequent development of frailty, its component symptoms, and/or other measures of physical and cognitive functional decline. To achieve these aims we will process and analyze physiologic data that are being gathered from a well-characterized, prospectively followed, population-based sample of 800 elderly people over age 70 who are participating in an ongoing NIA-funded Program Project Grant (the HRCA/Harvard Research Nursing Home, P01-AG004390). The experience of the research team in clinical geriatric research, physiology, dynamic systems, and biostatistics, as well as the outstanding resources of the Hebrew Rehabilitation Center and Harvard Medical School will help assure the project's success.

在过去的20年中，使用非线性动态和分形分析工具的协作工作，我们的研究团队表明，衰老和疾病与各种动态的复杂性丧失有关生理系统。我们提出，这种复杂性的丧失导致自适应能力降低衰落和脆弱。可以量化生理系统动力学及其的非线性数学技术因此，相互作用可能有助于表征脆弱的综合征。因此，我们的目标是：1）确定交叉在70岁以上的老年人的代表人口中，是否有关系在多种生理系统的动态中“脆弱”和复杂性丧失之间，包括心血管（裂纹（RR）间隔和血压（BP），脑血管（脑血流速度（BFV）），呼吸道（呼吸间隔）和平衡（压力中心轨迹）控制系统。我们还将确定是否这些系统之间的相互作用在脆弱的老年人中降低，通过检查相关性，相干，相位，和传递功能在相互作用系统的动态度量之间的增长（例如心脏和呼吸道或全身性BP和大脑BFV）。 2）确定心血管，脑血管中的复杂性丧失是否和/或平衡动力学，与适应常见生理应力的能力受损有关这些系统。我们将专门检查以下方面的关系：a）静止的BP，RR间隔或脑血流动动力及其对姿势变化的反应，b）安静的站立压力轨迹及其对叠加的认知任务的响应。 3）确定，在两年的随访期间纵向相同的人群，无论是基线时这些生理系统动力学的复杂性降低还是丧失随着时间的流逝，这些系统的复杂性可以预测随后的脆弱性发展，即其成分症状，和/或其他物理和认知功能下降的度量。为了实现这些目标，我们将处理和分析从特征良好的，前瞻性的，基于人群的样本中收集的生理数据 800名70岁以上的老年人参加了正在进行的NIA资助计划项目赠款（ HRCA/哈佛研究疗养院，P01-AG004390）。临床老年医学研究团队的经验研究，生理，动态系统和生物统计学以及希伯来语的杰出资源康复中心和哈佛医学院将有助于确保该项目的成功。