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:10633174
- 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
- 来源:
- 关键词:Academic/Teacher AwardAccelerationAddressAdvisory CommitteesAgeAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAnesthesia proceduresAnesthesiologyAnestheticsAreaArtificial IntelligenceAwarenessBasic ScienceClinicClinicalClinical SciencesCognitionCognitiveCollectionCommunitiesConduction AnesthesiaDataData LinkagesData ScienceDatabasesDisparateDisparityDocumentationEarly DiagnosisElderlyElectricityFellowshipFloridaFoodFundingGeriatricsGrantHealthHealth systemHealthcare SystemsHigh Performance ComputingHospitalsImpaired cognitionIndividualInequityInfrastructureInstitutionInterdisciplinary StudyInvestigationLeadLeadershipLinkMachine LearningMeasuresMedicineMentorshipModelingNeighborhoodsNerve DegenerationNeurodegenerative DisordersNeuropsychologyOperative Surgical ProceduresOrthopedic SurgeryOutcomePainPathway interactionsPatientsPerformancePerioperativePerioperative CarePopulationPopulation HeterogeneityPostoperative PainPostoperative PeriodProcessProxyRecordsRecoveryResearchResearch InfrastructureResearch PersonnelResearch TrainingResourcesRoleScientistSecureSocial FunctioningSocial NetworkSocial supportStructureSupplementationSystemTimeTrainingTraining ProgramsTransportationUnited States Centers for Medicare and Medicaid ServicesUnited States National Institutes of HealthUpdateVulnerable Populationsaspiratecare systemscertificate programclinical diagnosiscognitive changecohortcurriculum developmentdata modelingdeep learningdeprivationdisparity reductionelectronic health record systemexperiencefrailtyindexinglearning strategymeetingsmild cognitive impairmentmultidisciplinaryneglectneuropathologynovelpostoperative recoveryprogramsprospectiveprovider factorsrecruitrisk stratificationsexsocialsocial determinantssocial disparitiessocial factorssocial health determinantssocial vulnerabilitysuccesssurgery outcomesymposiumtimelineunstructured data
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.
抽象的
美国医疗保健系统照顾越来越多的老年人,包括患有阿尔茨海默氏症的老年人
疾病和相关痴呆症,需要麻醉手术的地区社会不平等。
通过空间指数,如面积剥夺和社会脆弱性指数,独立地贡献
围手术期和神经退行性结果的差异也支持显着的关联。
尽管邻里区域剥夺指数与阿尔茨海默病神经病理学之间存在差异。
新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、老年病学、神经心理学、健康的社会决定因素、地理空间分析、
甚至人工智能的K07申请人是美国国立卫生研究院(NIH)资助的独立机构。
具有区域麻醉和骨科手术专业知识的研究者和经过专科培训的麻醉师,
以及机器学习、地理空间差异以及围手术期疼痛和认知方面的研究经验。
该提案的目的是提高机构和社区对社会脆弱性如何影响的认识
影响老年人(包括患有阿尔茨海默病和相关痴呆症的老年人)的围手术期结果,
特别是与术后疼痛和认知相关的结果 该提案的总体策略。
是开发跨学科研究基础设施以及跨学科培训计划
该结构将通过围手术期认知麻醉来组织。
网络社会脆弱性 (PeCANSV) 构建的三个目标: 目标 1:召集 PeCANSV 多学科研究
咨询小组在 1) 地理空间基础设施;2) 社会决定因素方面建立三个补充核心;
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。
通过正式确定补充 PeCANSV 核心与 UF 资源和现有地理空间之间的新生联系,
佛罗里达大学健康中心和整个佛罗里达州的环境、认知和临床围手术期数据库。
培养一支由临床和基础科学研究人员组成的跨学科队伍来领导跨学科团队
解决老年外科患者的社会脆弱性的里程碑包括定期分析
优势、机会、愿望和结果、跨学科提案提交以及受训者的证据
针对老年人(包括阿尔茨海默病患者)社会差异的围手术期研究取得成功
以及相关的痴呆症。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Acute Postoperative Pain Trajectory Groups: Reply.
急性术后疼痛轨迹组:回复。
- DOI:
- 发表时间:2021-09-01
- 期刊:
- 影响因子:8.8
- 作者:Vasilopoulos, Terrie;Tighe, Patrick J
- 通讯作者:Tighe, Patrick J
Perioperative Use of Gabapentinoids and Risk for Postoperative Long-Term Opioid Use in Older Adults Undergoing Total Knee or Hip Arthroplasty.
接受全膝关节或髋关节置换术的老年人围手术期使用加巴喷丁类药物以及术后长期使用阿片类药物的风险。
- DOI:
- 发表时间:2022-11
- 期刊:
- 影响因子:0
- 作者:Chen, Cheng;Tighe, Patrick J;Lo;Winterstein, Almut G;Wei, Yu
- 通讯作者:Wei, Yu
Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity.
医院病房术后分类不足与死亡率和发病率的关系。
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:13.8
- 作者:Loftus, Tyler J;Ruppert, Matthew M;Ozrazgat;Balch, Jeremy A;Efron, Philip A;Tighe, Patrick J;Hogan, William R;Rashidi, Parisa;Upchurch Jr, Gilbert R;Bihorac, Azra
- 通讯作者:Bihorac, Azra
Predictive Modeling for Readmission to Intensive Care: A Systematic Review.
再入重症监护的预测模型:系统评价。
- DOI:
- 发表时间:2023-01
- 期刊:
- 影响因子:0
- 作者:Ruppert, Matthew M;Loftus, Tyler J;Small, Coulter;Li, Han;Ozrazgat;Balch, Jeremy;Holmes, Reed;Tighe, Patrick J;Upchurch Jr, Gilbert R;Efron, Philip A;Rashidi, Parisa;Bihorac, Azra
- 通讯作者:Bihorac, Azra
Concurrent Use of Prescription Opioids and Gabapentinoids in Older Adults.
老年人同时使用处方阿片类药物和加巴喷丁类药物。
- DOI:
- 发表时间:2022-04
- 期刊:
- 影响因子:5.5
- 作者:Chen, Cheng;Lo;Winterstein, Almut G;Tighe, Patrick;Wei, Yu
- 通讯作者:Wei, Yu
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Patrick J Tighe其他文献
Quantitative analysis of IL‐10 and IFN‐γ mRNA levels in normal cervix and human papillomavirus type 16 associated cervical precancer
正常宫颈和人乳头瘤病毒16型相关宫颈癌前期IL-10和IFN-γ mRNA水平的定量分析
- DOI:
10.1002/path.929 - 发表时间:
2001-09-01 - 期刊:
- 影响因子:0
- 作者:
Amira M El‐Sherif;R. Seth;Patrick J Tighe;D. Jenkins - 通讯作者:
D. Jenkins
Patrick J Tighe的其他文献
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{{ 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:
10475724 - 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:
10281822 - 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:
9291477 - 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:
8863868 - 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:
8677604 - 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:
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:
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:
8353726 - 财政年份:2012
- 资助金额:
$ 15.47万 - 项目类别:
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