Early Detection and Prevention of Mild Cognitive Impairment due to Cerebrovascular Disease
Early Detection and Prevention of Mild Cognitive Impairment due to Cerebrovascular Disease
批准号:
9126687
负责人:
GREGORY A JICHA
金额:
$14.47万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-26 至 2016-06-30
关键词:
AffectAge-YearsAlzheimer&aposs DiseaseAreaAutopsyBiologicalBiological MarkersBloodBrainBrain DiseasesBrain PathologyCardiovascular DiseasesCerebrospinal FluidCerebrovascular DisordersClinicalClinical TrialsCognitionCognitiveDataDementiaDiagnosticDiagnostic ImagingDoctor of PhilosophyEarly DiagnosisElderlyEnsureEtiologyEvaluationHealthHealthcareImageImpaired cognitionIndividualInterventionKentuckyMedicalMicrovascular DysfunctionModificationNatural HistoryNeuropsychological TestsOutcomePathologyPatientsPersonsPlacebo ControlPopulationPrevalencePreventionRandomizedRecording of previous eventsResearch PersonnelRisk FactorsScientific Advances and AccomplishmentsSerumStagingStatistical ModelsTestingTherapeutic InterventionUniversitiesbench to bedsidecohortdesigndigitaldisorder riskimprovedmild cognitive impairmentmultidisciplinaryolder patientprogramsstandard of caresuccesstherapy design
中文摘要
描述(由申请人提供):为了早期诊断和旨在改善患者预后的治疗干预,在临床上区分老年人认知障碍的不同原因有很大的未满足需求。肯塔基大学阿尔茨海默病中心(UK-ADC)一直处于研究非ad性MCI最普遍原因的前沿,表明超过三分之二的老年患者患有非ad性脑疾病,这些疾病会对认知产生有害影响。我们选择将重点放在脑血管疾病引起的MCI (MCI- cvd)上。该应用侧重于定义MCI-CVD的病理基础和特定危险因素之间的关系,利用影像学、血清和CSF生物标志物制定MCI-CVD的临床诊断标准,这也将允许对MCI-CVD的治疗干预进行纵向评估和评估。因此,目前的应用程序代表了一个全面的从实验室到床边的转化程序,旨在直接增加我们对当今老年人认知能力下降的主要原因的理解和影响。多学科团队代表了该领域的领导者,他们在MCI领域拥有成熟的科学成就和合作企业。项目目标的成功完成将使人们对MCI-CVD有一个全面的了解,并有可能对当今国家面临的主要医疗危机之一产生巨大影响。
英文摘要
DESCRIPTION (provided by applicant): There is a great unmet need to distinguish clinically between the different causes of cognitive impairment in elderly individuals for the sake of early diagnosis and therapeutic intervention designed to improve outcomes for patients. The University of Kentucky Alzheimer's Disease Center (UK-ADC) has been at the forefront of studying the most prevalent causes of Non-AD MCI, demonstrating that over two-thirds of elderly patients have non-AD brain conditions that deleteriously affect cognition. We have chosen to focus on MCI due to cerebrovascular disease (MCI-CVD). This application focuses on defining the pathological underpinnings and relationships of specific risk factors to MCI-CVD, developing clinical diagnostic criteria for MCI-CVD using imaging, serum, and CSF biomarkers that will also allow longitudinal evaluation and assessment of therapeutic interventions in MCI-CVD. As such, the current application represents a comprehensive bench-to-bedside translational program designed to directly increase our understanding of and impact the major cause of cognitive decline in the elderly population today. The multidisciplinary team represents leaders in the field with proven track histories of scientific accomplishments and collaborative enterprise in the area of MCI. Successful completion of project aims will allow an integrated understanding of MCI-CVD with the potential for tremendous impact on one of the major healthcare crises facing the nation today.
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会议论文
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