Coordination for ARDS, Pneumonia, and Sepsis supporting Training, Organization and Network Efficiency (CAPSTONE)
协调 ARDS、肺炎和败血症支持培训、组织和网络效率 (CAPSTONE)
基本信息
- 批准号:10647455
- 负责人:
- 金额:$ 228.71万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-05-01 至 2029-04-30
- 项目状态:未结题
- 来源:
- 关键词:Acute Respiratory Distress SyndromeAdherenceAttenuatedBig DataBiologicalBiometryCaliforniaCaringClassificationClinicalClinical ResearchClinical Trials Data Monitoring CommitteesCognitiveCommunicationCommunitiesCompensationComplexContractsCritical IllnessDataData CollectionDedicationsDevelopmentElectronic Health RecordEnrollmentEnsureEvolutionFailureFoundationsGoalsGroupingHeterogeneityImageIndividualInfrastructureInvestigationKnowledgeLeadershipManualsMeasurementMeasuresMedicalMethodsMissionMonitorMorbidity - disease rateOperations ResearchOutcomeParticipantPatientsPharmacotherapyPhenotypePneumoniaPopulationPrecision therapeuticsProcessProtocols documentationRecoveryReportingReproducibilityResearchResearch DesignResearch InfrastructureRisk FactorsSan FranciscoScienceSecuritySepsisSiteStandardizationStatistical Data InterpretationSyndromeTherapeuticTrainingTraining SupportTranslatingTranslational ResearchTrustUniversitiesWorkbiobankcareer developmentclinical centercohortcommunity engagementdata infrastructuredata managementdata modelingdata qualitydesignefficacious treatmentelectronic consentexperienceimprovedindividual patientinnovationknowledge basemortalitymultimodalitynovel therapeuticsoperationpatient populationpatient subsetsperformance sitepersonalized managementphenotyping algorithmpoint of careprecision medicineprofiles in patientsprognosticprotocol developmentrecruitskill acquisitionskillssuccesssynergismtargeted treatmenttreatment responsevirtual
项目摘要
The ARDS, Pneumonia, and Sepsis (APS) Coordinating Center will support a highly functional
and integrated clinical and translational research infrastructure that will enhance the quality and
scientific rigor of the research conducted by the APS Phenotyping Consortium. We are a team
composed of leading content and methods experts at Vanderbilt, Johns Hopkins, and University
of California San Francisco. We will provide Coordination for ARDS, Pneumonia, and Sepsis
supporting Training, Organization and Network Efficiency: ‘CAPSTONE’. We will support the
clinical centers (CCs) in enrolling and sustaining a diverse cohort; enable the efficient and
standardized capture of multi-modal cohort data with repeated measurements; model the data to
understand mechanistic underpinnings of APS, including the interplay of underlying and static risk
factors; and segment the population into similar prognostic and predictive phenotypes. This will
enable scientific progress towards a deeper mechanistic understanding of critical illness
syndromes and recovery. Functionally, we will 1) Implement the study design, data capture, and
statistical analysis unit. Coordinate protocol development; establish a REDCap-based data
collection, management, and security framework; conduct and support analyses; generate
reports; make curated data widely available for research through a facilitated storefront; 2)
Implement the clinical research management unit. Maintain cohort integrity and adherence to the
protocol and manual of operations, perform routine monitoring of data quality and site
performance; training of study staff; image and biospecimen management. Support site
communications; facilitate recruitment and retention; and 3) Implement the stakeholder
engagement and development unit. Establish bidirectional, longitudinal engagement from diverse
communities; help CCs build and sustain trust; ensure strengths of each CC are nurtured and
shared; facilitate dissemination of findings; support skills and career development among
research teams. Our efforts will expand foundational work on APS phenotyping, identify gaps,
and help create methods for redefining critical illness syndromes with the ultimate goal of
improving and personalizing management strategies that will curtail the devastating morbidity and
mortality caused by APS.
ARDS,肺炎和败血症(APS)协调中心将支持一个高度功能性的
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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Gordon R Bernard其他文献
Gordon R Bernard的其他文献
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{{ truncateString('Gordon R Bernard', 18)}}的其他基金
ComPASS Collective for Community Engagement (C3E)
ComPASS 社区参与集体 (C3E)
- 批准号:
10903370 - 财政年份:2023
- 资助金额:
$ 228.71万 - 项目类别:
Engaging Cooperative Sites for Trial Acceleration, Trust, Innovation, and Capability (ECSTATIC)
与试验加速、信任、创新和能力合作站点合作 (ECSTATIC)
- 批准号:
10650682 - 财政年份:2023
- 资助金额:
$ 228.71万 - 项目类别:
Glucagon-Like Peptide-1 Receptor Agonist Treatment in Adult, Obesity-Related, Symptomatic Asthma
胰高血糖素样肽 1 受体激动剂治疗成人肥胖相关症状性哮喘
- 批准号:
10398799 - 财政年份:2021
- 资助金额:
$ 228.71万 - 项目类别:
Glucagon-Like Peptide-1 Receptor Agonist Treatment in Adult, Obesity-Related, Symptomatic Asthma
胰高血糖素样肽 1 受体激动剂治疗成人肥胖相关症状性哮喘
- 批准号:
10084583 - 财政年份:2021
- 资助金额:
$ 228.71万 - 项目类别:
Glucagon-Like Peptide-1 Receptor Agonist Treatment in Adult, Obesity-Related, Symptomatic Asthma
胰高血糖素样肽 1 受体激动剂治疗成人肥胖相关症状性哮喘
- 批准号:
10609049 - 财政年份:2021
- 资助金额:
$ 228.71万 - 项目类别:
Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasma
范德比尔特临床和转化研究所 (VICTR) - 识别 SARS-CoV-2 恢复期血浆中功能免疫的相关性
- 批准号:
10254565 - 财政年份:2020
- 资助金额:
$ 228.71万 - 项目类别:
Vanderbilt Institute for Clinical and Translational Research (VICTR)
范德比尔特临床与转化研究所 (VICTR)
- 批准号:
10170009 - 财政年份:2020
- 资助金额:
$ 228.71万 - 项目类别:
Vanderbilt Institute for Clinical and Translational Research (VICTR)
范德比尔特临床与转化研究所 (VICTR)
- 批准号:
9490464 - 财政年份:2017
- 资助金额:
$ 228.71万 - 项目类别:
Vanderbilt Institute for Clinical and Translational Research (VICTR)
范德比尔特临床与转化研究所 (VICTR)
- 批准号:
9414517 - 财政年份:2017
- 资助金额:
$ 228.71万 - 项目类别:
Passive Immunity Trial for Our Neighbors (PassITON): A randomized, placebo-controlled multi-site trial of anti-SARS-CoV-2 convalescent plasma to treat hospitalized adults with COVID-19
为我们的邻居进行的被动免疫试验 (PassITON):一项随机、安慰剂对照的多中心抗 SARS-CoV-2 恢复期血浆试验,用于治疗患有 COVID-19 的住院成人
- 批准号:
10218949 - 财政年份:2017
- 资助金额:
$ 228.71万 - 项目类别:
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