Mechanical Biomarkers of Chronic Low Back Pain

慢性腰痛的机械生物标志物

• 批准号: 10665590
• 负责人: Louis E. DeFrate
• 金额: $ 62.73万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-22 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10665590
• 关键词: 3-Dimensional; Acceleration; Acute; Address; Adult; Affect; Back Pain; Behavior Therapy; Behavioral; Biochemical; Biochemical Markers; Biological Markers; Characteristics; Chronic; Chronic low back pain; Clinical; Clinical Trials; Cluster Analysis; Cognitive; Complex; Data; Development; Dimensions; Etiology; Goals; Heterogeneity; Image; Imaging Device; Individual; Inflammatory; Intervention; Intervertebral disc structure; Knowledge; Low Back Pain; Machine Learning; Magnetic Resonance Imaging; Measurement; Measures; Mechanical Low Back Pain; Mechanics; Methods; Modeling; National Institute of Arthritis, and Musculoskeletal, and Skin Diseases; Nature; Neuropeptides; Operative Surgical Procedures; Pain; Pain Research; Participant; Patient Selection; Patient Self-Report; Patient-Focused Outcomes; Patients; Pharmacologic Substance; Phenotype; Population; Process; Public Health; Rehabilitation therapy; Research; Research Priority; Risk Factors; Role; Sampling; Sensory; Site; Source; Speed; Subgroup; Symptoms; Techniques; Testing; Vertebral column; Work; biopsychosocial; biopsychosocial factor; central pain; chronic musculoskeletal pain; clinical care; clinical development; clinical imaging; clinical phenotype; cost; demographics; experience; imaging biomarker; improved; improved outcome; in vivo; in vivo Model; in vivo imaging; inflammatory pain; innovation; intervertebral disk degeneration; longitudinal analysis; novel; optimal treatments; patient subsets; radiological imaging; random forest; three-dimensional modeling

Abstract The intervertebral disc (IVD) has an essential role in transferring load during normal spine function and when this normal function fails, symptoms, degeneration and altered spine mechanics may occur. The overall scientific premise of this work is that there is a gap in knowledge of the relationship between contributions from mechanical, inflammatory and biopsychosocial factors that lead to chronic low back pain (LBP). An important gap is a poor understanding of the relationship between IVD degeneration and LBP. This lack of understanding leads to discordance between imaging and self-reported pain and, ultimately, treatments being delivered by an exclusionary process. To address this gap, we will use innovative in vivo imaging tools to quantify the mechanical function of the IVD. We will also measure quantitative sensory factors, biochemical markers, and biopsychosocial factors that, when combined with mechanical function, may better identify subgroups or phenotypes of LBP. The overall goal of this project is to identify if mechanical function of the IVD is a potential risk factor and whether mechanical function can assist with defining phenotypes of LBP. The findings from this study would lead to longitudinal analyses to determine whether these phenotypes predict the transition from acute to chronic LBP. The rationale for this proposed research is that: 1) altered mechanical function of the IVD contributes to LBP. 2) LBP is a heterogeneous condition that can result from a combination of mechanical, inflammatory, and central pain based sources. The central hypothesis is that in vivo measured IVD mechanical function will be an important potential risk factor for both acute and chronic non-specific LBP and that this measure will improve the phenotyping of LBP. In Aim I, we will quantify the association between in-vivo measured IVD mechanical function among acute and chronic non-specific LBP participants and asymptomatic controls. In Aim II, we will derive well-defined phenotypes of LBP using combinations of potential risk factors. Identifying phenotypes of LBP will allow for specific rehabilitation, surgical, pharmaceutical or behavioral treatments to be targeted, resulting in improved patient outcomes.

摘要

项目成果

Seventeen-Year National Pain Prevalence Trends Among U.S. Military Veterans.

美国退伍军人十七年全国疼痛患病率趋势。

• DOI: 10.1101/2023.03.27.23287408
• 发表时间: 2023
• 期刊: medRxiv : the preprint server for health sciences
• 作者: Taylor,KennethAdam;Kapos,FlaviaPenteado;Sharpe,JasonArthur;Kosinski,AndrzejStanislaw;Rhon,DanielI;Goode,AdamPayne
• 通讯作者: Goode,AdamPayne