Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology Project
老龄化研究的跨学科基础设施:罗切斯特流行病学项目
基本信息
- 批准号:10409783
- 负责人:
- 金额:$ 79.27万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-01 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAge-YearsAgingAgreementAlgorithmsAngiotensin ReceptorAreaBenchmarkingBiologicalBiological MarkersCaringCeramidesClinicClinicalClinical TrialsCodeDataDeliriumDiagnosisDiagnostic ServicesDiseaseDisease OutcomeDrug PrescriptionsDrug UtilizationElderlyElectronic Health RecordEnrollmentEpidemiologic MethodsEpidemiologyFutureGrantHealthHealthcareInfrastructureInstitutionLinkManualsMeasuresMedicalMedical InformaticsMedical RecordsMetforminNational Institute on AgingNatural Language ProcessingObservational StudyOutcomePersonsPharmaceutical PreparationsPhasePhenotypePolypharmacyPopulationPopulation StudyProteinsRecommendationReportingResearchResearch InfrastructureResearch PersonnelResourcesReview CommitteeStructureSyndromeSystemTechniquesTestingTextTimeUnited States Centers for Medicare and Medicaid Servicesage relatedaging populationbiobankcost effectivedata infrastructuredesignelectronic datafallshealthspanimprovedinterdisciplinary collaborationmedical attentionnovelnovel markernovel strategiessenescencetool
项目摘要
PROJECT SUMMARY
The National Institutes on Aging (NIA) has recommended strengthening research infrastructures to address
future aging research questions (2016 Data Infrastructure Review Committee Report and PAR-16-367). In
particular, they recommend: 1) integrating biological data into larger population-based studies; 2) increasing
use of electronic health record (EHR) data and linking to medical care claims data; and 3) developing new
approaches to collecting data to answer important scientific questions about mechanisms of aging.
The Rochester Epidemiology Project (REP; NIA R01 AG034676) is a unique infrastructure for studies of aging,
because the REP collects longitudinal EHR data on all health conditions that come to medical attention for a
large, Midwestern population. Therefore, the REP allows investigators to study all age-related diseases and
outcomes. However, the REP has three significant gaps. First, the REP does not include biospecimens.
Second, the REP is missing health care delivered outside of the health care institutions that partner with the
REP, and it does not include information on filled prescriptions. Third, a significant proportion of EHR data is
difficult to access due to two factors: 1) the full text of the EHRs includes extensive clinical notes about aging
outcomes and geriatric syndromes, but these notes are not routinely coded for billing, and can only be
accessed through laborious manual review; and 2) the REP health care partners use three different EHR
systems, making it difficult to apply electronic data extraction tools across all partners.
To address these three gaps, we will develop an interdisciplinary collaboration across experts in aging
research, epidemiologic methods, biobanking, and medical informatics to create a new, comprehensive
research infrastructure (“Bio-REP”) to support aging research. In the R21 phase, we will develop a
comprehensive research infrastructure that combines the REP data with Mayo Clinic Biobank biospecimens,
medical claims data from the Centers for Medicare and Medicaid Services (CMS; Aim 1), and geriatric
syndrome data that are included in the unstructured EHR clinical notes using Natural Language Processing
techniques (NLP; Aim 2). In the R33 phase, we will deploy NLP algorithms developed in Aim 2 in the clinical
notes from two additional EHR systems (Aim 3), and we will conduct two demonstration projects. First, we will
measure associations between novel aging-related biomarkers and aging-related outcomes (Aim 4). Second,
we will determine whether two common medications that are hypothesized to impact aging (metformin and
angiotensin receptor blockers) modify associations between aging biomarkers and aging outcomes (Aim 5).
The new, robust Bio-REP infrastructure will support a wide range of efficient, cost-effective observational
studies to characterize associations between aging-related biomarkers and specific diseases, geriatric
syndromes, and drug utilization. Such studies are urgently needed to design effective clinical trials to improve
the health span of the aging population.
项目摘要
美国国家衰老研究所(NIA)建议加强研究基础设施以解决
未来的衰老研究问题(2016年数据基础设施审查委员会报告和16-367年)。在
特别是他们建议:1)将生物数据纳入较大的基于人群的研究; 2)增加
使用电子健康记录(EHR)数据并链接到医疗索赔数据; 3)开发新的
收集数据以回答有关衰老机制的重要科学问题的方法。
罗切斯特流行病学项目(REP; NIA R01 AG034676)是用于衰老研究的独特基础设施,
因为代表收集有关所有健康状况的纵向EHR数据
中西部人口大。因此,销售代表允许研究人员研究所有与年龄有关的疾病,
结果。但是,代表有三个显着的差距。首先,代表不包括生物测量。
其次,代表缺少在与与之合作的医疗机构之外提供的医疗保健
代表,并且不包括有关填充处方的信息。第三,EHR数据很大一部分是
由于两个因素很难访问:1)EHR的全文包括有关衰老的广泛临床注释
结果和老年综合症,但这些笔记并非常规编码用于计费,只能是
通过实验室手动审查访问; 2)代表卫生保健伙伴使用三种不同的EHR
系统,很难在所有合作伙伴中应用电子数据提取工具。
为了解决这三个差距,我们将在衰老专家之间建立跨学科的合作
研究,流行病学方法,生物群和医学信息,以创建一个新的全面
研究基础设施(“ Bio-Rep”)支持老化研究。在R21阶段,我们将开发一个
将REP数据与Mayo Clinic Biobecimens结合在一起的综合研究基础设施,
医疗索赔来自医疗保险和医疗补助服务中心(CMS; AIM 1)和老年
使用自然语言处理中的非结构化EHR临床笔记中包含的综合征数据
技术(NLP; AIM 2)。在R33阶段,我们将部署在临床中AIM 2中开发的NLP算法
来自其他两个EHR系统的注释(AIM 3),我们将进行两个示范项目。首先,我们会的
测量与衰老相关的新型生物标志物与衰老相关结果之间的关联(AIM 4)。第二,
我们将确定是否有两种假设会影响衰老的常见药物(二甲双胍和
血管紧张素受体阻滞剂)修改衰老生物标志物与衰老结果之间的关联(AIM 5)。
新的,强大的生物验证基础设施将支持广泛的高效,具有成本效益的观察
表征与衰老有关的生物标志物与特定疾病,老年病之间关联的研究
综合征和药物利用。迫切需要进行此类研究以设计有效的临床试验以改进
老龄化人口的健康跨度。
项目成果
期刊论文数量(80)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Risk of hospitalization in synucleinopathies and impact of psychosis.
突触核蛋白病住院的风险和精神病的影响。
- DOI:10.3389/fnagi.2023.1274821
- 发表时间:2023
- 期刊:
- 影响因子:4.8
- 作者:
- 通讯作者:
Pain and Analgesic Utilization in Medically Underserved Areas: Five-Year Prevalence Study from the Rochester Epidemiology Project.
- DOI:10.2147/jpr.s360645
- 发表时间:2022
- 期刊:
- 影响因子:2.7
- 作者:D'Souza, Ryan S.;Eller, Jennifer;Hoffmann, Chelsey
- 通讯作者:Hoffmann, Chelsey
Incidence and Clinical Characteristics of Infantile Conjunctivitis in a Western Population.
- DOI:10.1016/j.ajo.2022.04.008
- 发表时间:2022-09
- 期刊:
- 影响因子:4.2
- 作者:Bothun, Cole E.;Mansukhani, Sasha A.;Xu, Timothy T.;Hendricks, Tina M.;Hodge, David O.;Mohney, Brian G.
- 通讯作者:Mohney, Brian G.
Association of Perinatal Factors With Severe Obesity and Dyslipidemia in Adulthood.
- DOI:10.1177/21501327211058982
- 发表时间:2022-01
- 期刊:
- 影响因子:3.6
- 作者:Tadese K;Ernst V;Weaver AL;Thacher TD;Rajjo T;Kumar S;Kaufman T;Wi CI;Lynch BA
- 通讯作者:Lynch BA
Lifetime Prevalence of Psychiatric Disorders in Adolescents with Unexplained Weight Loss, Underweight, or Poor Appetite.
不明原因体重减轻、体重不足或食欲不振的青少年精神疾病的终生患病率。
- DOI:10.1097/dbp.0000000000001173
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Witte,MicaelaA;HarbeckWeber,Cynthia;Lebow,Jocelyn;LeMahieu,Allison;Geske,Jennifer;Witte,Nathaniel;Whiteside,Stephen;Loth,Katie;Sim,Leslie
- 通讯作者:Sim,Leslie
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Nathan K LeBrasseur其他文献
Nathan K LeBrasseur的其他文献
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{{ truncateString('Nathan K LeBrasseur', 18)}}的其他基金
Senescence and Growth Differentiation Factors as Modifiers of Aging
衰老和生长分化因子作为衰老调节剂
- 批准号:
9755279 - 财政年份:2018
- 资助金额:
$ 79.27万 - 项目类别:
Senescence and Growth Differentiation Factors as Modifiers of Aging
衰老和生长分化因子作为衰老调节剂
- 批准号:
10378047 - 财政年份:2018
- 资助金额:
$ 79.27万 - 项目类别:
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology Project
老龄化研究的跨学科基础设施:罗切斯特流行病学项目
- 批准号:
10208373 - 财政年份:2018
- 资助金额:
$ 79.27万 - 项目类别:
Senescence and Growth Differentiation Factors as Modifiers of Aging
衰老和生长分化因子作为衰老调节剂
- 批准号:
9894701 - 财政年份:2018
- 资助金额:
$ 79.27万 - 项目类别:
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology Project
老龄化研究的跨学科基础设施:罗切斯特流行病学项目
- 批准号:
10224079 - 财政年份:2018
- 资助金额:
$ 79.27万 - 项目类别:
Senescence and Growth Differentiation Factors as Modifiers of Aging
衰老和生长分化因子作为衰老调节剂
- 批准号:
10116228 - 财政年份:2018
- 资助金额:
$ 79.27万 - 项目类别:
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