Genetics of Osteoarthritis and Joint Replacement Recovery: Key to Precision Rehabilitation
Genetics of Osteoarthritis and Joint Replacement Recovery: Key to Precision Rehabilitation
批准号:
9757613
负责人:
MARCAS M BAMMAN
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-01 至 2021-01-31
关键词:
AccountingActivities of Daily LivingAdmixtureAge-YearsArthritisComorbidityDataDegenerative polyarthritisDiagnosisDiseaseDisease ProgressionEthnic groupFailureGeneral PopulationGeneticGoalsHabilitationHealth Care CostsHealthcare SystemsHeritabilityHeterogeneityHip region structureHospitalizationIncidenceIndividualKneeLife StyleMediatingMeta-AnalysisOperative Surgical ProceduresOutcomePainParticipantPhenotypePrevalencePublic HealthRecording of previous eventsRecoveryRehabilitation therapyReplacement ArthroplastyResourcesSurveysTestingTraumatic ArthropathyTreatment CostVariantVeteransbiobankcohortcommon symptomdisabilityend stage diseaseexperiencegenetic informationgenetic predictorsgenetic variantgenome wide association studyhealth care service utilizationhealth related quality of lifehip replacement arthroplastyimproved mobilityknee replacement arthroplastypatient orientedprimary outcomeprognosticprogramsrecruitrehabilitation strategyresponsesecondary analysissecondary outcomesuccesstargeted treatment
中文摘要
退伍军人终末期骨关节炎(OA)的社会和以患者为中心的影响-包括
很大一部分人患有创伤后关节炎-影响深远:(一)退伍军人事务部的保健费用,
治疗每年超过8.8亿美元;(ii)VA医疗保健系统中约30%的退伍军人患有OA,
一个显着高于一般人群的比率;(iii)每年,10,000退伍军人与终末期关节炎
接受全髋关节(n~3500)或膝关节(n~6500)关节置换术(THA/TKA)和后续康复;(iv)
接受THA/TKA的退伍军人在健康相关生活质量(HRQL)方面存在严重缺陷,
日常生活活动(ADL)功能受限,医疗保健利用增加,
合并症和住院治疗;和(v)术后2-5年中重度功能限制的发生率
尽管进行了规定的康复治疗,但THA后手术率为30-35%,TKA后手术率为46-50%。OA有很强的遗传性
遗传率估计值> 30%。疼痛是最常见的症状,导致残疾,
降低HRQL。THA/TKA术后活动受限和疼痛的主要表型预测因子是
识别。然而,OA进展和THA/TKA成功恢复的遗传预测因子是,
还不知道这一发现将推动在术前和术后精确测量的进展。
退伍军人的康复。我们寻求利用丰富的MVP资源来测试总体
假设遗传变异解释了OA患病率、进展至终末期的有意义的比例
导致THA/TKA的疾病和恢复成功。将以三个具体目标来检验这一假设。
目的1:识别与OA相关的遗传变异。我们将在292,516名MVP参与者中执行GWAS
40-80岁-其中90,000人携带OA诊断-努力复制已知并识别新的
与OA相关的遗传变异和区域。作为二次分析,我们将执行GWAS以识别
3,696名创伤后关节炎退伍军人中与OA相关的遗传变异。我们将尝试
使用英国生物库中392,304人的数据复制了重要发现,其中41,217人患有OA。
目的2:确定THA/TKA所示进展为终末期OA的遗传变异预后。我们
将在90,000名患有OA的MVP参与者中进行GWAS,以识别与达到
终末期(即THA/TKA)。在诊断为OA的这一队列中,我们将鉴定出OA患者特有的遗传变异。
进展至终末期的亚群-即7,600例接受THA或
OA诊断后的TKA。作为二次分析,我们将进行GWAS以识别遗传变异
与初次THA/TKA后5年内的翻修手术相关,这表明独特的遗传变异,
可能使一些退伍军人对初次THA/TKA的适应性较差。我们将复制重要的发现
使用英国生物样本库中13,071例THA和12,794例TKA的数据。探索性目的:识别遗传变异
通过活动受限(主要结局)、疼痛和HRQL(次要结局)定义THA/TKA恢复的预后
成果)。我们将在7,600名既往THA/TKA的MVP参与者中进行GWAS,以识别变体
与MVP基线和生活方式调查答复所示的恢复成功或失败相关。作为
二次分析,我们将调查康复是否介导遗传之间的关系,
变体和THA/TKA恢复。我们将使用两种策略最大限度地提高异质性:(i)通过执行GWAS
在每个主要的种族群体独立,并结合结果,使用荟萃分析占跨-
种族混合;和(ii)通过分析整个MVP队列进行多种族GWAS。最终
目的是确定OA的遗传变异预后以及OA和THA/TKA结局不良,
有针对性的、精确的术前和术后康复策略,改善移动功能,
HRQL和退伍军人的医疗保健利用率。
英文摘要
The societal and patient-centered impacts of end-stage osteoarthritis (OA) among Veterans – including a
significant proportion suffering from post-traumatic arthritis – are profound: (i) VA healthcare costs for
treatment exceed $880 million annually; (ii) ~30% of Veterans in the VA healthcare system have OA, which is
a significantly higher rate than the general population; (iii) each year, 10,000 Veterans with end-stage arthritis
undergo total hip (n~3500) or knee (n~6500) arthroplasty (THA/TKA) and subsequent rehabilitation; (iv)
Veterans who undergo THA/TKA experience profound deficits in health-related quality of life (HRQL), severe
functional limitations in activities of daily living (ADL), increased healthcare utilization, and higher incidence of
comorbidities and hospitalization; and (v) incidence of moderate-severe functional limitations 2-5 years post-
surgery is 30-35% post-THA and 46-50% post-TKA despite prescribed rehabilitation. OA has a strong genetic
component with heritability estimates >30%. Pain is the most common symptom, contributing to disability and
decreased HRQL. Major phenotypic predictors of post-THA/TKA mobility limitation and pain have been
identifed. However, genetic predictors of both the progression of OA and success of THA/TKA recovery are as
yet unknown. Such discovery would fuel progress toward precision pre-habilitation and post-surgical
rehabilitation among Veterans. We seek to leverage the rich MVP resource to test the overarching
hypothesis that genetic variants explain a meaningful proportion of OA prevalence, progression to end-stage
disease leading to THA/TKA, and recovery success. This hypothesis will be tested with three specific aims.
Aim 1: To identify genetic variants associated with OA. We will perform GWAS in 292,516 MVP participants
40-80 years of age – of which 90,000 carry an OA diagnosis – in an effort to replicate known and identify new
genetic variants and regions associated with OA. As a secondary analysis, we will perform GWAS to identify
genetic variants associated with OA among 3,696 Veterans with post-traumatic arthritis. We will attempt to
replicate significant findings using data on 392,304 individuals in the UK Biobank, of which 41,217 have OA.
Aim 2: To identify genetic variants prognostic of progression to end-stage OA, as indicated by THA/TKA. We
will perform GWAS in the 90,000 MVP participants with OA to identify variants associated with reaching the
end-stage (i.e. THA/TKA). Within this cohort with diagnosed OA, we will identify genetic variants unique to the
subpopulation that progressed to end-stage – i.e. the 7,600 MVP participants who have undergone THA or
TKA subsequent to OA diagnosis. As a secondary analysis, we will perform GWAS to identify genetic variants
associated with revision surgery within 5 years of the initial THA/TKA, suggesting unique genetic variants that
may predispose some Veterans to poor adaptations to the initial THA/TKA. We will replicate significant findings
using data from 13,071 THA and 12,794 TKA in the UK Biobank. Exploratory Aim: To identify genetic variants
prognostic of THA/TKA recovery defined by mobility limitation (primary outcome), pain, and HRQL (secondary
outcomes). We will perform GWAS among the 7,600 MVP participants with past THA/TKA to identify variants
associated with recovery success or failure, as indicated by MVP Baseline and Lifestyle survey responses. As
a secondary analysis, we will investigate whether rehabilitation mediates the relationship between genetic
variants and THA/TKA recovery. We will maximize heterogeneity using two strategies: (i) By performing GWAS
in each major ethnic group independently and combining results using meta-analysis accounting for trans-
ethnic admixture; and (ii) By analyzing the entire MVP cohort to perform a multi-ethnic GWAS. The ultimate
goal is to identify genetic variants prognostic of OA as well as poor OA and THA/TKA outcomes to develop
targeted, precision pre-habilitation and post-surgical rehabilitation strategies improving mobility function,
HRQL, and healthcare utilization among Veterans.
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