A mechanistic understanding of treatment-related outcomes of sleep disordered breathing using functional near infrared spectroscopy

使用功能性近红外光谱从机制上理解睡眠呼吸障碍的治疗相关结果

基本信息

  • 批准号:
    10565985
  • 负责人:
  • 金额:
    $ 58.19万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-02-01 至 2028-01-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY Sleep disordered breathing (SDB), characterized by snoring and sleep disruption, affects one in ten children. Adverse outcomes of SDB such as problem behaviors, sleepiness, and lower quality of life contribute to poor classroom performance and are thought to be related to structural and functional alterations within the prefrontal cortex (PFC) of the brain. All clinical societies therefore support universal screening for SDB in children and its treatment by removal of tonsils and adenoids (adenotonsillectomy or ‘AT’), a surgery performed in 500,000 chil- dren annually in the United States alone. However, some children also experience spontaneous resolution of SDB and therefore watchful waiting is also an acceptable treatment option for these children. Currently there are no uniformly accepted criteria for children likely to benefit from AT as opposed to watchful waiting. Polysomnog- raphy is currently used for stratification of SDB severity. However, polysomnographic parameters neither corre- late with behavior, cognition, or quality of life nor the outcomes of AT in children with SDB. Therefore, two major gaps in knowledge exist, which include the lack of (i) understanding the mechanism by which AT impacts SDB outcomes, and (ii) a predictive model for selection of children likely to benefit from AT. Addressing these gaps could improve patient selection, reduce harm, and increase parental satisfaction related to one of the most com- mon pediatric surgical procedures. We have shown that the relationship between SDB and children’s behavior is mediated by structural alterations within or close to the PFC. Using functional near-infrared spectroscopy (fNIRS), we have further demonstrated that regional brain activation within the prefrontal cortex (PFC) correlates with behavioral measures in children with SDB. Using a range of data science techniques, we have additionally shown that polysomnographic param- eters do not predict SDB or AT outcomes. Here we propose the use of a novel biomarker for functional activation of the PFC using fNIRS and baseline patient characteristics to predict outcomes of children undergoing SDB treatment. In 200 children undergoing management of SDB by early AT or a strategy of watchful waiting at two large and diverse clinical practices, our specific aims include: Aim 1) To determine the extent to which cognitive outcomes of AT are mediated by PFC activation, Aim 2) To determine the extent to which parent-reported out- comes of AT are mediated by PFC activation, and Aim 3) To develop a predictive model for SDB treatment outcomes using demographic, anthropometric, polysomnographic, and fNIRS variables. Using a multidisciplinary approach with world-class expertise in data science approaches, this proposal seeks to address gaps in our mechanistic understanding of AT outcomes and establish an objective, child-friendly, and cost-effective ap- proach for identification of surgical candidates.
项目总结

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 }}

Amal Isaiah其他文献

Amal Isaiah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 }}

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:
    $ 58.19万
  • 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:
    $ 58.19万
  • 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:
    $ 58.19万
  • 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:
    $ 58.19万
  • 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:
    $ 58.19万
  • 项目类别:
    Standard Grant
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:
    $ 58.19万
  • 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:
    $ 58.19万
  • 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:
    $ 58.19万
  • 项目类别:
    EU-Funded
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:
    $ 58.19万
  • 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:
    $ 58.19万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了