HEALing LB3P: Profiling Biomechanical, Biological and Behavioral phenotypes
HEALing LB3P:分析生物力学、生物和行为表型
基本信息
- 批准号:9897962
- 负责人:
- 金额:$ 1675.62万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-26 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:Academic Medical CentersAddressAffectBehavioralBiologicalBiomechanicsCharacteristicsChronic CareChronic low back painClient satisfactionClinicalClinical InformaticsCollaborationsCollectionCommunitiesComplexCoupledDataData AnalysesData AnalyticsData CollectionData SetDevelopmentEnsureEnvironmentFutureIndividualInformaticsInstitutionLaboratoriesLeadLow Back PainMissionOutcomePathway interactionsPatient CarePatient Outcomes AssessmentsPatient RightsPatient-Focused OutcomesPatientsPhenotypeProtocols documentationQuality of lifeResearchResearch PersonnelResearch Project GrantsResourcesServicesStandardizationSyndromeSystemTestingTimeTranslatingTranslationsTreatment outcomeUniversitiesWorkbiopsychosocialcare costscare deliverychronic care modelclinical carecollaborative approachcomputerized data processingcostdata sharingexperiencehealingimprovedimproved outcomeinsightmembermultimodalitynovelopioid usepain patientpersonalized approachpredictive toolsprospective testresponsesuccesstherapy designtreatment response
项目摘要
ABSTRACT
The purpose of the University of Pittsburgh Low Back Pain: Biological, Biomechanical, Behavioral Phenotypes
(LB3P) Mechanistic Research Center is to perform in-depth phenotyping of patients with chronic low back pain
(CLBP), using a multi-modal approach, to characterize patients and provide insight into the phenotypes
associated with experience of CLBP to direct targeted and improved treatments. This new center will uniquely
address the critical challenge facing care for patients with CLBP, which is the rising costs of care related to
failed treatments, and resultant loss of quality of life and function with increasing reliance on opioid use resulting
from our inability to properly select patients for properly targeted treatments with a high likelihood of
success. The LB3P MRC will be formed of three Research Cores, which will be primarily responsible for data
collection and analysis of the three key contributors to CLBP (Biological, Biomechanical, and Behavioral);
three support cores primarily responsible for data organization, processing, storage and dissemination, including
interactions with the BACPAC (Administrative, Clinical, and Informatics); and one Research Project (deep
phenotyping of CLBP patient characteristics and response to treatments), serving to leverage all of the services
and products of the individual cores into the development of a unique clinical set of phenotypes associated with
response to treatment to guide properly targeted, individualized future care models for CLBP. This approach
will leverage and integrate distinctive resources at the University of Pittsburgh laboratories to deliver quantified
biomechanical, biological, and behavioral characteristics, functional assessments and patient-reported
outcomes, coupled with advanced data analytics using a novel Network Phenotyping Strategy (NPS). A
comprehensive and integrated biopsychosocial approach will be employed, which is necessary to improve
treatment for this complex and multi-dimensional condition. It is critical that the interaction of individual
variables is maintained in any phenotyping strategy, since in the syndrome of CLBP there is significant
interaction of each contributor, and this is an important strength of the proposed approach. The formation of this
center will build upon existing strengths within the University of Pittsburgh research community and focus efforts
around the critical challenge of CLBP, and the collaborative approach will serve as an important resource for the
BACPAC community. The LB3P MRC will coordinate the interdisciplinary expertise of clinicians and researchers
to study the contributors and predictors of CLBP, and to propose a culminating research project that promises
to translate the findings to clinical utilization and change the paradigm of care for CLBP. The proposed approach,
by eliminating isolated and disconnected approaches to treatment, and instead focusing on personalized patient-
centric approaches, will yield improved outcomes and patient satisfaction. In addition, the robust environment,
including an academic medical center with an integrated care delivery and finance system, will ensure rapid and
efficient translation of the results into novel care models for CLBP patients.
抽象的
匹兹堡大学腰痛研究的目的:生物、生物力学、行为表型
(LB3P) 机制研究中心将对慢性腰痛患者进行深入的表型分析
(CLBP),使用多模式方法来描述患者特征并深入了解表型
与 CLBP 的经验相关,以指导有针对性和改进的治疗。这个新中心将以独特的方式
解决 CLBP 患者护理面临的关键挑战,即与以下相关的护理成本不断上升
治疗失败,并随着对阿片类药物使用的日益依赖而导致生活质量和功能下降
由于我们无法正确选择患者进行适当的针对性治疗,很可能
成功。 LB3P MRC将由三个研究核心组成,主要负责数据
CLBP 的三个关键贡献者(生物、生物力学和行为)的收集和分析;
三个支撑核心,主要负责数据组织、处理、存储和传播,包括
与 BACPAC(行政、临床和信息学)的互动;和一项研究项目(深
CLBP 患者特征和治疗反应的表型分析),用于利用所有服务
和各个核心的产品开发出与相关的一组独特的临床表型
对治疗的反应,以指导 CLBP 未来有针对性、个性化的护理模式。这种做法
将利用和整合匹兹堡大学实验室的独特资源来提供量化的
生物力学、生物学和行为特征、功能评估和患者报告
结果,加上使用新颖的网络表型策略 (NPS) 的高级数据分析。一个
将采用全面综合的生物心理社会方法,这对于改善
针对这种复杂且多维的情况进行治疗。个体之间的互动至关重要
在任何表型分析策略中都会保留变量,因为在 CLBP 综合征中,存在显着的
每个贡献者之间的互动,这是所提出方法的一个重要优势。这个的形成
该中心将利用匹兹堡大学研究界的现有优势并集中精力
围绕 CLBP 的关键挑战,协作方法将成为
BACPAC 社区。 LB3P MRC 将协调临床医生和研究人员的跨学科专业知识
研究 CLBP 的贡献者和预测因素,并提出一个最终的研究项目,该项目有望
将研究结果转化为临床应用并改变 CLBP 的护理模式。所提出的方法,
通过消除孤立和脱节的治疗方法,转而关注个性化的患者
以中心为中心的方法将产生更好的结果和患者满意度。此外,强大的环境,
包括一个具有综合护理服务和财务系统的学术医疗中心,将确保快速和
将结果有效转化为 CLBP 患者的新型护理模式。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Gwendolyn A Sowa其他文献
Gwendolyn A Sowa的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Gwendolyn A Sowa', 18)}}的其他基金
Metabolic Symbiosis: Lactate as an Epigenetic Regulator and a Biofuel in Age-dependent Intervertebral Disc Degeneration
代谢共生:乳酸作为年龄依赖性椎间盘退变的表观遗传调节剂和生物燃料
- 批准号:
10704160 - 财政年份:2022
- 资助金额:
$ 1675.62万 - 项目类别:
Metabolic Symbiosis: Lactate as an Epigenetic Regulator and a Biofuel in Age-dependent Intervertebral Disc Degeneration
代谢共生:乳酸作为年龄依赖性椎间盘退变的表观遗传调节剂和生物燃料
- 批准号:
10704160 - 财政年份:2022
- 资助金额:
$ 1675.62万 - 项目类别:
HEALing LB3P: Profiling Biomechanical, Biological and Behavioral phenotypes
HEALing LB3P:分析生物力学、生物和行为表型
- 批准号:
10415626 - 财政年份:2021
- 资助金额:
$ 1675.62万 - 项目类别:
HEALing LB3P: Profiling Biomechanical, Biological and Behavioral phenotypes
HEALing LB3P:分析生物力学、生物和行为表型
- 批准号:
10406064 - 财政年份:2021
- 资助金额:
$ 1675.62万 - 项目类别:
HEALing LB3P: Profiling Biomechanical, Biological and Behavioral phenotypes
HEALing LB3P:分析生物力学、生物和行为表型
- 批准号:
10765803 - 财政年份:2019
- 资助金额:
$ 1675.62万 - 项目类别:
HEALing LB3P: Profiling Biomechanical, Biological and Behavioral phenotypes
HEALing LB3P:分析生物力学、生物和行为表型
- 批准号:
10765802 - 财政年份:2019
- 资助金额:
$ 1675.62万 - 项目类别:
Influence of inflammation-related genetic variants on PT treatment response in a population affected by CLBP
CLBP 人群中炎症相关基因变异对 PT 治疗反应的影响
- 批准号:
10208162 - 财政年份:2019
- 资助金额:
$ 1675.62万 - 项目类别:
HEALing LB3P: Profiling Biomechanical, Biological and Behavioral phenotypes
HEALing LB3P:分析生物力学、生物和行为表型
- 批准号:
9897963 - 财政年份:2019
- 资助金额:
$ 1675.62万 - 项目类别:
Alternative treatments for disc degeneration: Effects on matrix homeostasis
椎间盘退变的替代治疗:对基质稳态的影响
- 批准号:
8208204 - 财政年份:2009
- 资助金额:
$ 1675.62万 - 项目类别:
Alternative treatments for disc degeneration: Effects on matrix homeostasis
椎间盘退变的替代治疗:对基质稳态的影响
- 批准号:
7806660 - 财政年份:2009
- 资助金额:
$ 1675.62万 - 项目类别:
相似国自然基金
本体驱动的地址数据空间语义建模与地址匹配方法
- 批准号:41901325
- 批准年份:2019
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
时空序列驱动的神经形态视觉目标识别算法研究
- 批准号:61906126
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
针对内存攻击对象的内存安全防御技术研究
- 批准号:61802432
- 批准年份:2018
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
- 批准号:61802133
- 批准年份:2018
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
- 批准号:61872252
- 批准年份:2018
- 资助金额:64.0 万元
- 项目类别:面上项目
相似海外基金
Attentional Mechanisms of Cognitive Compensation in Subjective Cognitive Decline and AD Risk
主观认知下降和 AD 风险中认知补偿的注意机制
- 批准号:
10738600 - 财政年份:2023
- 资助金额:
$ 1675.62万 - 项目类别:
Racial Differences in Hospital-Associated Disability and Acute and Post-Acute Care Physical Therapy Utilization
医院相关残疾以及急性和急性后护理物理治疗利用的种族差异
- 批准号:
10785500 - 财政年份:2023
- 资助金额:
$ 1675.62万 - 项目类别:
Dynamic multimodal connectivity analysis of brain networks in focal epilepsy
局灶性癫痫脑网络的动态多模态连接分析
- 批准号:
10678514 - 财政年份:2023
- 资助金额:
$ 1675.62万 - 项目类别:
Massachusetts Center for Alzheimer and dEmeNtia behaVIoral reSearch In minOrity agiNg (Mass-ENVISION)
马萨诸塞州阿尔茨海默病和痴呆症少数群体行为研究中心 (Mass-ENVISION)
- 批准号:
10729789 - 财政年份:2023
- 资助金额:
$ 1675.62万 - 项目类别:
Learning Precision Medicine for Rare Diseases Empowered by Knowledge-driven Data Mining
通过知识驱动的数据挖掘学习罕见疾病的精准医学
- 批准号:
10732934 - 财政年份:2023
- 资助金额:
$ 1675.62万 - 项目类别: