Longitudinal Study of Predictors and Consequences of Chronic Kidney Disease
慢性肾脏病的预测因素和后果的纵向研究
基本信息
- 批准号:8145010
- 负责人:
- 金额:$ 22.24万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-09-30 至 2012-09-29
- 项目状态:已结题
- 来源:
- 关键词:AddressAdmixtureAdultAdvanced Glycosylation End ProductsAffectAfrican AmericanAgeAlbuminuriaAlgorithmsArtsAtherosclerosisCandidate Disease GeneCardiovascular DiseasesCardiovascular systemChronic Kidney FailureClinical Practice GuidelineCommunitiesCoronary heart diseaseCreatinineDataDatabasesDiabetes MellitusDisciplineDisease MarkerDisease OutcomeElderlyEpidemiologyEventFramingham Heart StudyFunctional disorderGeneral PopulationGenesGenetic MarkersGenotypeGlomerular Filtration RateHeartHyperglycemiaHypertensionIncidenceIndividual DifferencesInflammationInstitutionInterleukin-6Interstitial CollagenaseKidneyKidney DiseasesLeadLinkage DisequilibriumLongitudinal StudiesMapsMeasurementMeasuresMuscleN(6)-carboxymethyllysineNational Heart, Lung, and Blood InstituteParticipantPathway interactionsPlayPoliciesPopulationProceduresProspective StudiesPublic HealthRaceRenal functionResearch PersonnelResourcesRiskRisk FactorsRoleSamplingScanningSerologicalSerumStratificationTestingbasecardiovascular disorder riskcohortdesigndisorder riskfollow-upgenetic risk factorgenetic variantgenome wide association studygenome-wideglomerulosclerosisglycationinflammatory markermortalitymuscle formnovelnovel markerpopulation basedpost gamma-globulinsprogramsserological markersexvascular inflammation
项目摘要
DESCRIPTION (provided by applicant): Chronic kidney disease (CKD) affects an estimated 19 million adults in the US, and is associated with an elevated risk of cardiovascular disease (CVD) and mortality. Clinical practice guidelines define CKD on the basis of both albuminuria and decreased kidney function, most frequently assessed by estimating the glomerular filtration rate (eGFR) using serum creatinine (SCr). National organizations have proposed including CKD in CVD risk stratification algorithms, but no large prospective studies to date have combined data on albuminuria and estimated GFR to examine CVD incidence. Recent studies in the elderly suggest Cystatin C (CysC) can provide estimates of kidney function that are more predictive of subsequent GVD events than estimates based on SCr, which are susceptible to biases due to muscle loss. CKD shares several risk factors and pathogenic mechanisms with CVD though the prospective studies of CKD have been limited. The Atherosclerosis Risk in Communities (ARIC) Study has followed 15,792 African Americans and Whites since 1987, and provided important data on CKD risk factors and consequences. We propose to collect new data and conduct systematic analyses to achieve the following aims: 1) Investigate a state of the art assessment of prevalent CKD as an independent risk factor for cardiovascular disease and mortality among 11,336 adults examined in 1996-1998. Prevalent CKD is defined by a combination of decreased kidney function (existing SCr and proposed CysC measures) and kidney damage (albuminuria). 2) Test novel predictors of declining kidney function over 6 years in a nested case-cohort design including -800 cases with estimated GFR<60 ml/min/1.73m2 based on CysC. We will focusing on markers of inflammation and advanced glycation end-products (AGEs), and 3) Identify chromosomal regions and genetic variants predictive of incident CKD. By extending ongoing genotyping we will conduct: (A) genome wide Mapping by Admixture Linkage Disequilibrium (MALD) scan in African-Americans and (B) Candidate gene study of -2,000 genes. Positive results will be tested for replication in additional identified cohorts (Jackson Heart Study, Framingham Heart Study and the Cardiovascular Heart Study). This proposal directly addresses several questions relevant to current policy issues, including how best to quantify CKD and incorporate it into CVD risk prediction algorithms. In addition, it will provide much-needed data to be shared with the larger scientific community on serologic and genetic risk factors for CKD, a growing public health concern in the US.
描述(由申请人提供):慢性肾脏疾病(CKD)影响美国约1900万成年人,并与心血管疾病(CVD)和死亡率的风险升高相关。临床实践指南根据白蛋白尿和肾功能下降定义CKD,最常见的评估方法是使用血清肌酐(SCr)估计肾小球滤过率(eGFR)。国家组织建议将CKD纳入CVD风险分层算法,但迄今为止还没有大型前瞻性研究将白蛋白尿和估计的GFR数据结合起来检查CVD发病率。最近在老年人中的研究表明,胱抑素C(CysC)可以提供比基于SCr的估计更能预测后续GVD事件的肾功能估计值,SCr易受肌肉损失所致偏倚的影响。尽管CKD的前瞻性研究有限,但CKD与CVD有许多共同的危险因素和致病机制。自1987年以来,社区动脉粥样硬化风险(ARIC)研究跟踪了15,792名非洲裔美国人和白人,并提供了关于CKD风险因素和后果的重要数据。我们建议收集新的数据并进行系统分析,以实现以下目标:1)在1996-1998年接受检查的11,336名成人中,调查流行CKD作为心血管疾病和死亡率独立危险因素的最新评估。流行性CKD定义为肾功能下降(现有SCr和拟定CysC测量)和肾损伤(白蛋白尿)的组合。2)在巢式病例队列设计中测试6年以上肾功能下降的新预测因子,包括约800例基于CysC估计GFR<60 ml/min/1.73m2的病例。我们将重点关注炎症和晚期糖基化终产物(AGEs)的标志物,以及3)确定预测CKD事件的染色体区域和遗传变异。通过扩展正在进行的基因分型,我们将进行:(A)在非洲裔美国人中通过混合物连锁不平衡(MALD)扫描进行的全基因组作图和(B)约2,000个基因的候选基因研究。将在其他确定的队列(杰克逊心脏研究、心脏病研究和心血管心脏研究)中重复检测阳性结果。该提案直接解决了与当前政策问题相关的几个问题,包括如何最好地量化CKD并将其纳入CVD风险预测算法。此外,它将提供急需的数据,与更大的科学界分享CKD的血清学和遗传风险因素,这是美国日益增长的公共卫生问题。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Brad C Astor其他文献
Brad C Astor的其他文献
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{{ truncateString('Brad C Astor', 18)}}的其他基金
Dynamic Prediction of Renal Failure Using Longitudinal Prognostic Information among Patients with Chronic Kidney Disease and Kidney Transplant
利用慢性肾病和肾移植患者的纵向预后信息动态预测肾衰竭
- 批准号:
10369592 - 财政年份:2019
- 资助金额:
$ 22.24万 - 项目类别:
Dynamic Prediction of Renal Failure Using Longitudinal Prognostic Information among Patients with Chronic Kidney Disease and Kidney Transplant
利用慢性肾病和肾移植患者的纵向预后信息动态预测肾衰竭
- 批准号:
9912766 - 财政年份:2019
- 资助金额:
$ 22.24万 - 项目类别:
1/14 APOL1 Long-term Kidney Transplantation Outcomes Network (APOLLO) Clinical Center
1/14 APOL1长期肾移植结果网络(APOLLO)临床中心
- 批准号:
10731266 - 财政年份:2017
- 资助金额:
$ 22.24万 - 项目类别:
Longitudinal Study of Predictors and Consequences of Chronic Kidney Disease
慢性肾脏病的预测因素和后果的纵向研究
- 批准号:
7179560 - 财政年份:2007
- 资助金额:
$ 22.24万 - 项目类别:
Longitudinal Study of Predictors and Consequences of Chronic Kidney Disease
慢性肾脏病的预测因素和后果的纵向研究
- 批准号:
7470898 - 财政年份:2007
- 资助金额:
$ 22.24万 - 项目类别:
Longitudinal Study of Predictors and Consequences of Chronic Kidney Disease
慢性肾脏病的预测因素和后果的纵向研究
- 批准号:
7568799 - 财政年份:2007
- 资助金额:
$ 22.24万 - 项目类别:
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