Evaluation of a Prognostic Model for Chagas Primary Care Setting
恰加斯初级保健机构预后模型的评估
基本信息
- 批准号:8516922
- 负责人:
- 金额:$ 17.14万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-08-01 至 2017-07-31
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsAttentionBiological MarkersBlood TestsBlood VesselsBlood specimenBrain natriuretic peptideCessation of lifeChagas CardiomyopathyChagas DiseaseChronicClinicalCohort StudiesComplexDataDetectionDevelopmentDisease ProgressionEnrollmentEvaluationFunctional disorderGoalsHeart DiseasesInflammatoryManaged CareMeasurementMeasuresModelingPatientsPrimary Care PhysicianPrimary Health CareProcessResearchRiskRisk MarkerRoleSamplingSeverity of illnessStratificationTestingTropical DiseaseTrypanosoma cruzibasecase controlclinical practicecohortcostdesignneglectoutcome forecastprimary care settingprognosticprogramsrelating to nervous systemrepositorytelehealth
项目摘要
Chronic Chagas cardiopathy (CCC) is a potentially lethal condition, but the severity of the disease varies widely and accurate stratification of the risk of disease progression and death remains an unsolved challenge. Although complex prognostic scores are available, a simple, low-cost and easy-to-use prognostic model, suitable for the primary care setting, is lacking. The first hypothesis of this project is that a prognostic algorithm based on simple ECG measurements in conjunction with clinical information and Brain Natriuretic Peptide (BNP) levels can be developed that will accurately predict the risk of disease progression and death in CCC patients and be useful in clinical practice. The goal is therefore to develop and test a simple predictive algorithm for determining the prognosis of patients with CCC. To accomplish this goal, a large cohort of infected patients will be established based on the Telehealth Program designed to support primary care in Minas Gerais. We will enroll 2,000 CCC patients into this cohort study and follow them for at least two years, in order to develop and validate this simple prognostic algorithm. However we recognize that CCC has a complex physiopathology and many immunological, inflammatory, neural and microvascular processes have a role in development of CCC and progression of disease. The second hypothesis to be tested here is that hitherto unknown or untested biomarkers will be useful in the management of Chagas disease patients. The identification of new biomarkers through the other projects in the SAMI-Trop program should enable refined stratification of T cruzi infected patients with respect to occurrence of specific complications and death and in the guidance of treatment of CCC patients. Consequently, the second goal of this study is to collect blood specimens to establish a robust sample repository for testing of new biomarkers detected in the other branches of this project. The prognostic importance of these biomarkers will be tested using a nested case-control design
慢性恰加斯病心脏病(CCC)是一种潜在的致命疾病,但疾病的严重程度差异很大,疾病进展和死亡风险的准确分层仍然是一个未解决的挑战。虽然复杂的预后评分是可用的,一个简单的,低成本和易于使用的预后模型,适用于初级保健环境,是缺乏的。该项目的第一个假设是,可以开发一种基于简单ECG测量结合临床信息和脑钠肽(BNP)水平的预后算法,该算法将准确预测CCC患者的疾病进展和死亡风险,并在临床实践中有用。因此,我们的目标是开发和测试一种简单的预测算法,用于确定CCC患者的预后。为了实现这一目标,将根据旨在支持米纳斯吉拉斯初级保健的远程保健方案,建立一个大型受感染患者队列。我们将招募2,000名CCC患者参加这项队列研究,并对他们进行至少两年的随访,以开发和验证这种简单的预后算法。然而,我们认识到CCC具有复杂的病理生理学,许多免疫、炎症、神经和微血管过程在CCC的发展和疾病进展中起作用。这里要检验的第二个假设是,迄今为止未知或未经检验的生物标志物将在恰加斯病患者的管理中有用。通过SAMI-Trop项目中的其他项目鉴定新的生物标志物,应能够在特定并发症和死亡的发生方面对克氏锥虫感染患者进行精细分层,并指导CCC患者的治疗。因此,本研究的第二个目标是收集血液标本,以建立一个强大的样本库,用于检测本项目其他分支中检测到的新生物标志物。这些生物标志物的预后重要性将使用巢式病例对照设计进行测试
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)
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Antonio Ribeiro其他文献
Antonio Ribeiro的其他文献
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{{ truncateString('Antonio Ribeiro', 18)}}的其他基金
Evaluation of a Prognostic Model for Chagas Primary Care Setting
恰加斯初级保健机构预后模型的评估
- 批准号:
8890093 - 财政年份:
- 资助金额:
$ 17.14万 - 项目类别:
Evaluation of a Prognostic Model for Chagas Primary Care Setting
恰加斯初级保健机构预后模型的评估
- 批准号:
8707362 - 财政年份:
- 资助金额:
$ 17.14万 - 项目类别:
Evaluation of a Prognostic Model for Chagas Primary Care Setting
恰加斯初级保健机构预后模型的评估
- 批准号:
8304508 - 财政年份:
- 资助金额:
$ 17.14万 - 项目类别:
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