Biomarkers for pressure injury risk following spinal cord injury: Development of a multi-scalar predictive model for personalized preventive health care

脊髓损伤后压力性损伤风险的生物标志物:开发用于个性化预防保健的多标量预测模型

基本信息

  • 批准号:
    10043836
  • 负责人:
  • 金额:
    --
  • 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:
    2019-11-01 至 2023-10-31
  • 项目状态:
    已结题

项目摘要

Pressure injures (PrI) are a major secondary complication for far too many people with spinal cord injury (SCI). Development and/or recurrence of a PrI limits activities of daily living, often leading to hospitalization and even death. In addition to the devastating impact on affected individuals and their caregivers, PrI management has a significant effect on Veterans Heath Administration healthcare costs, which provides lifetime care for our Veterans with SCI. The proposed study will address the conundrum of why some Veterans with SCI suffer from a continuous cycle of recurring PrI, while others remain PrI free. The research strategy will build on the model developed by the Bogie lab of Biomarkers for Early Identification of Pressure Injury Risk (BEIPIR) for persons with SCI. BEIPIR unifies hierarchical relationships between clinical factors, health behaviors and muscle composition. We have shown that intramuscular adipose tissue (IMAT) is a critical clinically significant risk factor for PrI development. IMAT levels and accumulation rates vary greatly in this cohort. Some people exhibit rapid IMAT accumulation following SCI, while others do not. It is important to explain what is driving these changes. Our preliminary findings provide the basis for the central hypothesis: DNA variants predispose some individuals to increased deposition of IMAT following SCI, and resultant increased PrI risk. The proposed study will update the BEIPIR model by examining IMAT in conjunction with investigation of DNA variants associated with accelerated and/or higher levels of IMAT deposition. The TruSight™ One Expanded Sequencing panel (Illumina, San Diego CA) will be applied for Next Generation Sequencing of 50 existing blood samples from 38 persons with complete or incomplete SCI (AIS A-D) for whom gluteal muscle composition over time has already been evaluated. Genetic profile information, specifically DNA variants which are differentially active between persons with and without a history of PrI at a statistically significant level of p<0.05, will be selected and incorporated into the multi-scalar BEIPIR model for early identification of PrI risk. The updated BEIPIR model will be internally and externally validated to establish predicative efficacy. Internal validation of the BEIPIR model will be provided by testing the model with the genetic biomarkers identified. Split bootstrap procedures will be employed in order to derive stable estimations with low bias. A four year repeated measures study will be carried out to externally validate the BEIPIR model. A stratified study design will be employed to achieve a study cohort of 100 Veterans with SCI (AIS A-D) including participants with and without a history of PrI. Study participants will be recruited from Louis Stokes Cleveland VA Medical Center and the James J. Peters VA Medical Center (Site PI: Dr. Galea). Whole blood will be collected from study participants and DNA extracted prior to processing using the TruSight™ One Expanded Sequencing panel. Very low dose transverse pelvic region CT scans with contrast will be carried out based on our established protocol. Muscle composition and cross-sectional area will be determined using our established Hounsfield Unit scale classification protocol to determine relative lean muscle and IMAT content. 3D reconstruction will be applied to show IMAT distribution throughout the muscle. Study participants will be surveyed monthly by phone using our standardized skin status questionnaire to determine tissue health status. Incidences of tissue compromise or breakdown will be monitored and data applied to refine the BEIPIR model. Blood draw and CT scans will be repeated annually or when a PrI occurs. Longitudinal repeated measures of the de novo study cohort will be used to evaluate BEIPIR model performance and provide external validation of the model. Update and validation of the BEIPIR model will provide a clinical tool to optimize personalized care, recognizing that every person with SCI is an individual. Our proposed study has great potential to improve PrI risk assessment, enhance health status and quality of life for Veterans with SCI and reduce VHA costs. In the longer term, the BEIPIR model may provide the basis for development of a blood test kit for PrI risk. This research will also expand the de-identified genetic data publicly available for this underrepresented population.
压迫性损伤(PrI)是许多脊髓损伤(SCI)患者的主要继发性并发症。

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 }}

KATH BOGIE其他文献

KATH BOGIE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('KATH BOGIE', 18)}}的其他基金

RR&D Research Career Scientist Award Application
RR
  • 批准号:
    10469345
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
Biomarkers for pressure injury risk following spinal cord injury: Development of a multi-scalar predictive model for personalized preventive health care
脊髓损伤后压力性损伤风险的生物标志物:开发用于个性化预防保健的多标量预测模型
  • 批准号:
    10832456
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
RR&D Research Career Scientist Award Application
RR
  • 批准号:
    10686829
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
RR&D Research Career Scientist Award Application
RR
  • 批准号:
    10240276
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
Biomarkers for pressure injury risk following spinal cord injury: Development of a multi-scalar predictive model for personalized preventive health care
脊髓损伤后压力性损伤风险的生物标志物:开发用于个性化预防保健的多标量预测模型
  • 批准号:
    10493174
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
Biomarkers for pressure injury risk following spinal cord injury: Development of a multi-scalar predictive model for personalized preventive health care
脊髓损伤后压力性损伤风险的生物标志物:开发用于个性化预防保健的多标量预测模型
  • 批准号:
    10261428
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
Development of advanced personalized modular pressure relief seating cushion systems: Testing and user evaluation
先进个性化模块化减压座垫系统的开发:测试和用户评估
  • 批准号:
    9901367
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Development of advanced personalized modular pressure relief seating cushion systems: Testing and user evaluation
先进个性化模块化减压座垫系统的开发:测试和用户评估
  • 批准号:
    10378458
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Development of advanced personalized modular pressure relief seating cushion systems: Testing and user evaluation
先进个性化模块化减压座垫系统的开发:测试和用户评估
  • 批准号:
    10869877
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Development of advanced personalized modular pressure relief seating cushion systems: Testing and user evaluation
先进个性化模块化减压座垫系统的开发:测试和用户评估
  • 批准号:
    10631894
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:

相似海外基金

Determining 4-Dimensional Foot Loading Profiles of Healthy Adults across Activities of Daily Living
确定健康成年人日常生活活动的 4 维足部负荷曲线
  • 批准号:
    2473795
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Studentship
Developing a trunk function assessment for hemiplegics. -For improving activities of daily living-
开发偏瘫患者的躯干功能评估。
  • 批准号:
    23K10540
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Relation with the activities of daily living and the subjective values among people with social withdrawal
社交退缩者日常生活活动与主观价值观的关系
  • 批准号:
    23K16596
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
CRII: RI: Understanding Activities of Daily Living in Indoor Scenarios
CRII:RI:了解室内场景中的日常生活活动
  • 批准号:
    2245652
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Sources of vulnerability among those using homecare despite having no limitations in Activities of Daily Living. An intersectionality analysis
尽管日常生活活动没有限制,但使用家庭护理的人的脆弱性来源。
  • 批准号:
    499112
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Operating Grants
Association between Nursing Care and Prognosis and Activities of Daily Living in Acute Stroke patients by using Big Data.
利用大数据研究急性脑卒中患者的护理与预后和日常生活活动的关系。
  • 批准号:
    23K16412
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Effects of a model of nurses-occupational therapists collaborative practice on activities of daily living in elderly patients
护士-职业治疗师合作实践模式对老年患者日常生活活动的影响
  • 批准号:
    22K17540
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Synergizing home health rehabilitation therapy to optimize patients’ activities of daily living
协同家庭健康康复治疗,优化患者的日常生活活动
  • 批准号:
    10429480
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
Assessing a Novel Virtual Environment that Primes Individuals Living with AD/ADRD to Accomplish Activities of Daily Living.
评估一种新颖的虚拟环境,该环境可以帮助 AD/ADRD 患者完成日常生活活动。
  • 批准号:
    10668160
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
Synergizing home health rehabilitation therapy to optimize patients’ activities of daily living
协同家庭健康康复治疗,优化患者的日常生活活动
  • 批准号:
    10621820
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了