Perioperative Cognitive Anesthesia Network Extension for Socially Vulnerable Older Adults

针对社会弱势老年人的围手术期认知麻醉网络扩展

基本信息

  • 批准号:
    10281822
  • 负责人:
  • 金额:
    $ 15.47万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-09-01 至 2026-05-31
  • 项目状态:
    未结题

项目摘要

ABSTRACT The U.S. healthcare system cares for increasing numbers of older adults, including those with Alzheimer’s disease and related dementias, who require surgery with anesthesia. Regional social inequities, as measured by spatial indices such as area deprivation and social vulnerability indices, independently contribute to differences in perioperative and neurodegenerative outcomes. Data also support a significant association between neighborhood-level area deprivation indices with Alzheimer’s disease neuropathology. Despite emerging evidence linking social determinants of health with disparities in postoperative outcomes in older adults, investigations in these areas increasingly require expertise with disparate subject matters, including clinical perioperative practice, geriatrics, neuropsychology, social determinants of health, geospatial analyses, and even artificial intelligence. The K07 applicant is a National Institutes of Health (NIH)-funded independent investigator and fellowship-trained anesthesiologist with expertise in regional anesthesia and orthopedic surgery, as well as research experience in machine learning, geospatial disparities, and perioperative pain and cognition. The purpose of this proposal is to promote institutional and community awareness of how social vulnerabilities impact perioperative outcomes in older adults, including those with Alzheimer’s disease and related dementias, and particularly those outcomes related to postoperative pain and cognition. The overall strategy of this proposal is to develop interdisciplinary research infrastructure along with transdisciplinary training programs to crosspollinate research teams. This structure will be organized via the Perioperative Cognitive Anesthesia Network-Social Vulnerability (PeCANSV) construct in three aims: Aim 1: Convene a PeCANSV multidisciplinary advisory team to establish three supplemental cores in 1) geospatial infrastructure; 2) social determinants of health; 3) artificial intelligence. Aim 2: Accelerate research discovery through interdisciplinary research pathways by formalizing nascent linkages between supplemental PeCANSV cores and UF resources and extant geospatial, environmental, cognitive, and clinical perioperative databases at UF Health and throughout Florida. Aim 3: Develop a transdisciplinary workforce of clinical and basic science researchers to lead interdisciplinary teams addressing the social vulnerability of older adult surgical patients. Milestones include regular analysis of strengths, opportunities, aspirations, and results, interdisciplinary proposal submissions, and evidence of trainee success in perioperative research in social disparities of older adults, including those with Alzheimer’s disease and related dementias.
摘要 美国医疗保健系统照顾越来越多的老年人,包括那些患有阿尔茨海默氏症的人 疾病和相关的痴呆症,谁需要手术麻醉。区域社会不平等现象, 区域贫困指数和社会脆弱性指数等空间指数, 围手术期和神经退行性结局的差异。数据也支持一个重要的关联 邻里水平的区域剥夺指数与阿尔茨海默病神经病理学之间的关系。尽管 新出现的证据将健康的社会决定因素与老年人术后结果的差异联系起来 成年人,这些领域的调查越来越需要不同主题的专业知识,包括 临床围手术期实践,老年医学,神经心理学,健康的社会决定因素,地理空间分析, 甚至是人工智能。K 07申请人是美国国立卫生研究院(NIH)资助的独立 研究员和研究员培训麻醉师,具有区域麻醉和整形外科方面的专业知识, 以及在机器学习,地理空间差异,围手术期疼痛和认知方面的研究经验。 这项建议的目的是促进机构和社区认识到社会脆弱性如何 影响老年人的围手术期结局,包括阿尔茨海默病和相关痴呆症患者, 特别是那些与术后疼痛和认知有关的结果。本提案的总体战略 是发展跨学科的研究基础设施,沿着跨学科的培训项目, 交叉传播研究团队该结构将通过围手术期认知麻醉进行组织 网络社会脆弱性(PeCANSV)的建设有三个目标:目标1:召开PeCANSV多学科 咨询小组将在以下领域建立三个补充核心:1)地理空间基础设施; 2) 健康; 3)人工智能。目标2:通过跨学科研究途径加速研究发现 通过正式确定PeCANSV补充核心与UF资源和现存地理空间之间的新生联系, 环境,认知和临床围手术期数据库在UF健康和整个佛罗里达。目标3: 培养一支由临床和基础科学研究人员组成的跨学科队伍,以领导跨学科团队 解决老年外科病人的社会脆弱性。军事行动包括定期分析 优势、机会、愿望和结果、跨学科提案提交以及受训者的证明 在老年人(包括阿尔茨海默病患者)社会差异的围手术期研究中取得成功 以及相关的痴呆症

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 }}

Patrick J Tighe其他文献

Patrick J Tighe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('Patrick J Tighe', 18)}}的其他基金

Perioperative Cognitive Anesthesia Network Extension for Socially Vulnerable Older Adults
针对社会弱势老年人的围手术期认知麻醉网络扩展
  • 批准号:
    10633174
  • 财政年份:
    2021
  • 资助金额:
    $ 15.47万
  • 项目类别:
Perioperative Cognitive Anesthesia Network Extension for Socially Vulnerable Older Adults
针对社会弱势老年人的围手术期认知麻醉网络扩展
  • 批准号:
    10475724
  • 财政年份:
    2021
  • 资助金额:
    $ 15.47万
  • 项目类别:
Finding Good TEMporal PostOperative pain Signatures (TEMPOS)
寻找良好的颞叶术后疼痛特征 (TEMPOS)
  • 批准号:
    8863868
  • 财政年份:
    2015
  • 资助金额:
    $ 15.47万
  • 项目类别:
Finding Good TEMporal PostOperative pain Signatures (TEMPOS)
寻找良好的颞叶术后疼痛特征 (TEMPOS)
  • 批准号:
    9291477
  • 财政年份:
    2015
  • 资助金额:
    $ 15.47万
  • 项目类别:
Use of Machine Learning Classifiers to Forecast Severe Acute Postoperative Pain F
使用机器学习分类器预测严重急性术后疼痛 F
  • 批准号:
    8901203
  • 财政年份:
    2012
  • 资助金额:
    $ 15.47万
  • 项目类别:
Use of Machine Learning Classifiers to Forecast Severe Acute Postoperative Pain F
使用机器学习分类器预测严重急性术后疼痛 F
  • 批准号:
    8353726
  • 财政年份:
    2012
  • 资助金额:
    $ 15.47万
  • 项目类别:
Use of Machine Learning Classifiers to Forecast Severe Acute Postoperative Pain F
使用机器学习分类器预测严重急性术后疼痛 F
  • 批准号:
    8505014
  • 财政年份:
    2012
  • 资助金额:
    $ 15.47万
  • 项目类别:
Use of Machine Learning Classifiers to Forecast Severe Acute Postoperative Pain F
使用机器学习分类器预测严重急性术后疼痛 F
  • 批准号:
    8677604
  • 财政年份:
    2012
  • 资助金额:
    $ 15.47万
  • 项目类别:

相似海外基金

Rational design of rapidly translatable, highly antigenic and novel recombinant immunogens to address deficiencies of current snakebite treatments
合理设计可快速翻译、高抗原性和新型重组免疫原,以解决当前蛇咬伤治疗的缺陷
  • 批准号:
    MR/S03398X/2
  • 财政年份:
    2024
  • 资助金额:
    $ 15.47万
  • 项目类别:
    Fellowship
Re-thinking drug nanocrystals as highly loaded vectors to address key unmet therapeutic challenges
重新思考药物纳米晶体作为高负载载体以解决关键的未满足的治疗挑战
  • 批准号:
    EP/Y001486/1
  • 财政年份:
    2024
  • 资助金额:
    $ 15.47万
  • 项目类别:
    Research Grant
CAREER: FEAST (Food Ecosystems And circularity for Sustainable Transformation) framework to address Hidden Hunger
职业:FEAST(食品生态系统和可持续转型循环)框架解决隐性饥饿
  • 批准号:
    2338423
  • 财政年份:
    2024
  • 资助金额:
    $ 15.47万
  • 项目类别:
    Continuing Grant
Metrology to address ion suppression in multimodal mass spectrometry imaging with application in oncology
计量学解决多模态质谱成像中的离子抑制问题及其在肿瘤学中的应用
  • 批准号:
    MR/X03657X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 15.47万
  • 项目类别:
    Fellowship
CRII: SHF: A Novel Address Translation Architecture for Virtualized Clouds
CRII:SHF:一种用于虚拟化云的新型地址转换架构
  • 批准号:
    2348066
  • 财政年份:
    2024
  • 资助金额:
    $ 15.47万
  • 项目类别:
    Standard Grant
The Abundance Project: Enhancing Cultural & Green Inclusion in Social Prescribing in Southwest London to Address Ethnic Inequalities in Mental Health
丰富项目:增强文化
  • 批准号:
    AH/Z505481/1
  • 财政年份:
    2024
  • 资助金额:
    $ 15.47万
  • 项目类别:
    Research Grant
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10107647
  • 财政年份:
    2024
  • 资助金额:
    $ 15.47万
  • 项目类别:
    EU-Funded
BIORETS: Convergence Research Experiences for Teachers in Synthetic and Systems Biology to Address Challenges in Food, Health, Energy, and Environment
BIORETS:合成和系统生物学教师的融合研究经验,以应对食品、健康、能源和环境方面的挑战
  • 批准号:
    2341402
  • 财政年份:
    2024
  • 资助金额:
    $ 15.47万
  • 项目类别:
    Standard Grant
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10106221
  • 财政年份:
    2024
  • 资助金额:
    $ 15.47万
  • 项目类别:
    EU-Funded
Recite: Building Research by Communities to Address Inequities through Expression
背诵:社区开展研究,通过表达解决不平等问题
  • 批准号:
    AH/Z505341/1
  • 财政年份:
    2024
  • 资助金额:
    $ 15.47万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了