Undiagnosed diseases network clinical site
未确诊疾病网络临床网站
基本信息
- 批准号:10266763
- 负责人:
- 金额:$ 35万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-20 至 2023-04-30
- 项目状态:已结题
- 来源:
- 关键词:AccountingAcuteAddressAdmission activityAdultAffectAfrican AmericanAgeAreaBioinformaticsCaringCatchment AreaCategoriesCensusesCenter for Translational Science ActivitiesChildClinicalClinical ResearchCommunitiesComplexConsultationsCountryCountyCoupledCritical CareDataData AnalysesDiagnosisDiagnosticDiseaseEconomicsEducationEducational BackgroundElementsEnvironmental ExposureEpigenetic ProcessEvaluationFetusFoundationsFutureGeographyGoalsHealthHomeHospitalizationHospitalsHumanImmigrantImmuneIndividualInfrastructureInpatientsInstitutionKnock-outKnowledgeLifeMediatingMedicalMedical GeneticsMedicineMid-Atlantic RegionMissionMitochondriaMitochondrial DiseasesModelingModernizationMosaicismMutationNewborn InfantOrganPatient CarePatientsPediatric HospitalsPennsylvaniaPhenotypePhiladelphiaPhysiciansPopulationPositioning AttributeQuestionnairesRare DiseasesRecording of previous eventsResearchResourcesSamplingSocioeconomic StatusSomatic MutationSpeedSystemTechnologyTestingThinkingTimeTooth structureToxinTrainingTranslatingUnited States National Institutes of HealthUniversitiesUniversity HospitalsUntranslated RNAValidationVariantVertebral columnWorkbasecare coordinationclinical research sitecohortcollaborative approachdisabilityeducation resourcesempoweredethnic diversityexomeexome sequencingexperiencefollow-upgenetic disorder diagnosisgenetic variantgenome sequencinggenomic datahuman diseaseimaging facilitiesimprovedinnovationinterdisciplinary approachlaboratory facilitymultidisciplinarypatient populationprogramsresearch clinical testingscreeningsuccesssynergismtranscriptome sequencingwhole genome
项目摘要
Undiagnosed diseases and rare diseases occur without respect to age, geography, socioeconomic status or
level of education. They are frustratingly hard to define scientifically and to classify needs, yet rare diseases
affect 30 million people in the USA and the undiagnosed are as yet uncounted. The 2016 census found 42
million people living in the NY/NJ/PA/DE mid-Atlantic region, accounting for 13% of the USA population. We
see a need for a UDN Clinical Site based on population and our accounting of >100 children and >100 adults
who appear at our institutions yearly with undiagnosed conditions. Referrals to CHOP/UPENN reflect a larger
catchment area than just the four-state area and support our pivotal thesis that the regional need is high and
we are poised to deliver expertise, coordinated care, and technology to benefit these patients. The modern
approach to hospital-based diagnosis, wherein individual clinical teams propose and test organ or system-
specific diagnostic concepts, has several limitations. It fails to take advantage of the full clinical abilities of an
institution and efficiently use advanced sequencing, bioinformatic strategies, and synergies from collective
thinking. The UDN program has brought a collaborative approach to address the needs of the undiagnosed
patient population and to mitigate these shortfalls. We propose to utilize technology in a manner that benefits
the patient while being respectful of financial constraints and clinician time. This application proposes a Clinical
Site operating as part of the UDN that utilizes work flows optimized by the existing UDN with potential
efficiencies and strategies for sustainability that may be useful broadly. Aim 1 describes our organization and
patient flow that incorporates document management and infrastructure elements. In Aim 2, the evaluation of
patients with exome sequencing that has not been informative or who are suspected of a non-Mendelian
disorder will be specifically assessed. In Aim 3, strategies for sustainability will be piloted including improved
data capture during patient evaluations, a bioinformatic approach to environmental exposures, a “Human
Knockout Screening Core” approach and strategies for the education of future diagnostic physicians. Patients
with a recognized disease will have a short stay focused on education and resource identification. Most
patients will be stable, but lack diagnosis, and will have a weeklong evaluative inpatient stay typically within our
Clinical and Translational Research Center. During the stay, we will perform additional studies and develop a
follow-up plan. Acutely ill patients, newborns, and fetuses can be evaluated using stabilization and
management in an inpatient critical care unit. Our proposal is directly relevant to the NIH mission since it uses
applied knowledge to enhance health, lengthen life and reduce illness and disability in a unique and vulnerable
patient population. The proposed Clinical Site has valuable expertise, extensive experience with collaborative
networks, strong institutional support and creative solutions to common challenges presented by the
undiagnosed patient.
未确诊疾病和罕见疾病的发生与年龄、地理位置、社会经济地位或
教育水平。令人沮丧的是,很难科学地定义它们并对需求进行分类,但罕见疾病
美国有 3000 万人受到影响,而未确诊的人数尚未统计。 2016 年人口普查发现 42
百万人口居住在纽约州/新泽西州/宾夕法尼亚州/德国大西洋中部地区,占美国人口的 13%。我们
根据人口和我们对超过 100 名儿童和超过 100 名成人的统计,认为需要建立一个 UDN 临床站点
每年都出现在我们机构但病情未确诊的人。推荐给 CHOP/UPENN 反映了更大的
集水区不仅仅是四个州的地区,并支持我们的关键论点,即区域需求很高并且
我们准备提供专业知识、协调护理和技术来造福这些患者。现代的
基于医院的诊断方法,其中各个临床团队提出并测试器官或系统-
特定的诊断概念有几个局限性。它未能充分利用患者的全部临床能力
机构并有效地利用先进的测序、生物信息学策略和集体的协同作用
思维。 UDN 计划采用协作方法来满足未确诊患者的需求
患者群体并缓解这些短缺。我们建议以有益的方式利用技术
患者,同时尊重财务限制和临床医生的时间。本申请提出了一种临床
站点作为 UDN 的一部分运行,利用由现有 UDN 优化的工作流程,具有潜力
可能广泛有用的可持续发展效率和战略。目标 1 描述了我们的组织和
包含文档管理和基础设施元素的患者流程。在目标 2 中,评估
外显子组测序未提供信息或怀疑患有非孟德尔遗传的患者
将专门评估疾病。在目标 3 中,将试行可持续发展战略,包括改进
患者评估期间的数据采集、环境暴露的生物信息方法、“人类
“淘汰筛选核心”的方法和策略,用于教育未来的诊断医生。患者
患有已知疾病的患者将短暂停留,重点关注教育和资源识别。最多
患者病情稳定,但缺乏诊断,通常会在我们的治疗范围内进行为期一周的评估住院治疗
临床和转化研究中心。在逗留期间,我们将进行额外的研究并制定
后续计划。可以使用稳定性和稳定性来评估急症患者、新生儿和胎儿。
住院重症监护病房的管理。我们的提案与 NIH 使命直接相关,因为它使用
应用知识来增强独特和弱势群体的健康、延长寿命并减少疾病和残疾
患者群体。拟议的临床中心拥有宝贵的专业知识和丰富的合作经验
网络、强大的机构支持和针对共同挑战的创造性解决方案
未确诊的患者。
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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Daniel James Rader其他文献
Daniel James Rader的其他文献
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{{ truncateString('Daniel James Rader', 18)}}的其他基金
Mechanisms by which ABCA7 activity influences Alzheimer's Disease
ABCA7 活性影响阿尔茨海默病的机制
- 批准号:
10525795 - 财政年份:2022
- 资助金额:
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Deep Phenotyping of ANGPTL3, ANGPTL4 and ANGPTL8 Human Knockouts and Population Based Studies
ANGPTL3、ANGPTL4 和 ANGPTL8 人类基因敲除的深度表型分析和基于人群的研究
- 批准号:
10186801 - 财政年份:2019
- 资助金额:
$ 35万 - 项目类别:
Deep phenotyping of ANGPTL3, ANGPTL4 and ANGPTL8 human knockouts and population based studies
ANGPTL3、ANGPTL4 和 ANGPTL8 人类基因敲除的深度表型分析和基于人群的研究
- 批准号:
10528964 - 财政年份:2019
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UDN@CHOP/UPENN: transition to sustainability
UDN@CHOP/UPENN:向可持续发展过渡
- 批准号:
10905924 - 财政年份:2018
- 资助金额:
$ 35万 - 项目类别:
Deep Phenotyping of Human Knockouts and Population Studies of the APOC3 Pathway
人类基因敲除的深度表型分析和 APOC3 通路的群体研究
- 批准号:
9902507 - 财政年份:2017
- 资助金额:
$ 35万 - 项目类别:
Structure-Function Analysis of Triglyceride Regulator ApoA-V Using Natural Variants
使用天然变体进行甘油三酯调节剂 ApoA-V 的结构功能分析
- 批准号:
10211481 - 财政年份:2016
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Structure-Function Analysis of Triglyceride Regulator ApoA-V Using Natural Variants
使用天然变体进行甘油三酯调节剂 ApoA-V 的结构功能分析
- 批准号:
10605242 - 财政年份:2016
- 资助金额:
$ 35万 - 项目类别:
Structure-Function Analysis of Triglyceride Regulators ApoC-III and ApoA-V Using Natural Variants
使用天然变体对甘油三酯调节剂 ApoC-III 和 ApoA-V 进行结构-功能分析
- 批准号:
9306180 - 财政年份:2016
- 资助金额:
$ 35万 - 项目类别:
Structure-Function Analysis of Triglyceride Regulators ApoC-III and ApoA-V Using Natural Variants
使用天然变体对甘油三酯调节剂 ApoC-III 和 ApoA-V 进行结构-功能分析
- 批准号:
9158709 - 财政年份:2016
- 资助金额:
$ 35万 - 项目类别:
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