Precursors of Stroke Incidence and Prognosis
中风发生率和预后的前兆
基本信息
- 批准号:10660510
- 负责人:
- 金额:$ 150.94万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1981
- 资助国家:美国
- 起止时间:1981-12-01 至 2028-08-31
- 项目状态:未结题
- 来源:
- 关键词:AcuteAffectAgeAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAreaAtherosclerosis Risk in CommunitiesAtrial FibrillationBlack PopulationsBlack raceBlood VesselsBody mass indexBrain imagingCardiovascular systemCategoriesCentral obesityCerebral small vessel diseaseCharacteristicsClinicalClinical DataClinical ResearchCognitive deficitsCohort StudiesCollaborationsCommunitiesComplexDataDementiaDevelopmentDiabetes MellitusDiseaseDrug TargetingDyslipidemiasEducationEducational StatusEpidemicEpidemiologyExposure toFramingham Heart StudyGene ExpressionGene ProteinsGenesGeneticGenetic DeterminismGenetic RiskGenomicsGoalsHypertensionImageImpaired cognitionIncidenceIndividualInjuryKnowledgeLesionLifeLife Cycle StagesLife StyleLinkLipidsLocationLongevityMachine LearningMeasuresMendelian randomizationMethodsModelingMultiomic DataNational Institute of Neurological Disorders and StrokeNeuropsychological TestsObesityOrganParticipantPathway interactionsPatternPharmaceutical PreparationsPharmacotherapyPopulationPredictive FactorPrevalencePreventionPrevention strategyPrevention trialPrognosisProteomicsPublic HealthReasons for Geographic And Racial Differences in StrokeRecurrenceResearchResearch PersonnelResearch PriorityResourcesRiskRisk AssessmentRisk FactorsRisk MarkerRoleSamplingSecondary toSeveritiesStrokeSurveillance ProgramSurvivorsThickTimeTreatment FactorValidationWorkbiracialbrain healthburden of illnesscardiovascular risk factorcerebrovascularclinical practiceclinical riskcognitive performancecohortcomorbiditydementia riskdeprivationdisabilitydrug repurposingfollow-upgray matterhigh dimensionalityimprovedindexinglifetime riskmachine learning methodmethod developmentmultimodal dataneighborhood disadvantageneuroimagingnovelpersonalized interventionpolygenic risk scorepost strokepost stroke cognitive impairmentpredictive modelingpredictive toolspreventprimary outcomeprogramsprospectivepublic health interventionracial populationresiliencerisk predictionrisk prediction modelsexsocialsocial determinantssocial factorssocial health determinantsstroke cognitive outcomestroke incidencestroke riskstroke survivortooltranscriptomicstrendvascular cognitive impairment and dementiavascular risk factor
项目摘要
PROJECT SUMMARY/ABSTRACT
Post-stroke cognitive impairment and dementia (PS-VCID) are major contributors to Alzheimer’s disease and
related dementias (ADRD), occurring in 30% of stroke survivors. An individual’s complex life-course exposure
to vascular risk factors, along with the varying prevalence and incidence of cardiovascular risk factors among
the U.S. population, make study of the link between life-course exposure to cardiovascular risk factors and ADRD
a priority. Furthermore, the ability to accurately estimate an individual’s risk for PS-VCID at a particular timepoint
in life, even before a stroke occurs, is critical for planning personalized and public health interventions to improve
brain health and resilience. Risk factors such as obesity and dyslipidemia have gained epidemic proportions in
the U.S., but their causal role and contribution to PS-VCID risk are undefined. Further, PS-VCID risk prediction
tools using multimodal data and in multiple racial groups are not available. This proposal seeks to leverage FHS
data and resources to generate an understanding of PS-VCID trends and determinants, to collaborate with
REGARDS and ARIC study investigators to develop and validate in bi-racial participants comprehensive PS-
VCID risk prediction tools (including incorporation of a measure of social determinant of health), to study the
causal relations of obesity and dyslipidemia with PS-VCID, to explore repurposing of available drug treatments,
and to inform prevention strategies and treatment targets for PS-VCID. Specific Aims include: Aim 1, to describe
trends in PS-VCID risk in community dwelling individuals; Aim 2, to evaluate the life-course correlates of PS-
VCID using novel machine learning methods to exame the relation of repeated exposure measures, assessed
prospectively over seven decades, with PS-VCID, including i) Framingham Stroke Risk Profile components, ii)
lipid fractions, iii) obesity indicators, iv) hypertension types, and v) multi-organ disease; Aim 3, to develop two
PS-VCID risk prediction tools (PS-VCID risk scores) for i) clinical risk assessment (based on cardiovascular risk
factors, obesity measures, and dyslipidemia) and ii) use in research (with addition of brain imaging-derived
factors quantifying global cerebral small vessel disease burden, global gray matter volume and cortical thickness,
social factors (Area deprivation index) and genetic factors based on identification of the optimal polygenic risk
score for each vascular risk factor). Scores will be developed in the well-characterized FHS and REGARDS
cohorts, and then assessed and validated in the ARIC study. Aim 4, to study the causal relation of obesity and
dyslipidemia with PS-VCID and explore drug repurposing strategies in an instrumental variable analyses
framework.
项目总结/文摘
项目成果
期刊论文数量(108)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Cerebral ischemia with mitral valve prolapse.
脑缺血伴二尖瓣脱垂。
- DOI:10.1016/0002-8703(87)90959-8
- 发表时间:1987
- 期刊:
- 影响因子:4.8
- 作者:Wolf,PA;Sila,CA
- 通讯作者:Sila,CA
Covert Cerebral Small Vessel Disease: Ready for Clinical Prime Time.
隐性脑小血管疾病:为临床黄金时间做好准备。
- DOI:10.1161/jaha.123.029891
- 发表时间:2023
- 期刊:
- 影响因子:5.4
- 作者:Hannawi,Yousef;Vaishnav,Anand;Coskun,ElifPinar;Gangadhara,Suhas;Romero,JoseRafael
- 通讯作者:Romero,JoseRafael
Prevention of strokes.
预防中风。
- DOI:10.1007/s11883-001-0026-7
- 发表时间:2001
- 期刊:
- 影响因子:5.8
- 作者:Jeerakathil,TJ;Wolf,PA
- 通讯作者:Wolf,PA
Part IV. Neuroimaging in dementing disorders.
第四部分。
- DOI:10.1016/s0011-5029(00)90031-2
- 发表时间:2000
- 期刊:
- 影响因子:0
- 作者:DeCarli,C
- 通讯作者:DeCarli,C
Stroke outcome measures.
中风结果测量。
- DOI:10.1097/00005082-200409000-00005
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:Kelly-Hayes,Margaret
- 通讯作者:Kelly-Hayes,Margaret
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Hugo Javier Aparicio其他文献
Hugo Javier Aparicio的其他文献
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{{ truncateString('Hugo Javier Aparicio', 18)}}的其他基金
Expanding the Pipeline to Graduate Research in Alzheimer's Disease and Related Dementias (EPGRAD) Program
扩大阿尔茨海默病和相关痴呆症研究生研究 (EPGRAD) 项目的渠道
- 批准号:
10628447 - 财政年份:2023
- 资助金额:
$ 150.94万 - 项目类别:
Identifying ADRD intervention targets by characterizing neurobiological mechanisms of social isolation, loneliness, and social environment using novel imaging, molecular markers, and machine learning
使用新颖的成像、分子标记和机器学习来表征社会孤立、孤独和社会环境的神经生物学机制,从而确定 ADRD 干预目标
- 批准号:
10525514 - 财政年份:2022
- 资助金额:
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