Early detection and identification of ventilator associated pneumonia

呼吸机相关性肺炎的早期发现和识别

基本信息

项目摘要

ABSTRACT: Ventilator associated pneumonias (VAP) are a common complication in mechanically ventilated patients, occurring more than 250,000 times annually. VAPs occur in a high percentage of mechanically ventilated patients with acute respiratory distress syndrome (ARDS, 29%) and COVID-19 (>50%). Timely detection and identification of the pathogen is key to effective treatment, as is differentiating colonization from acute infection. The most common options for microbiological diagnosis are cultures of endotracheal aspirate or bronchoalveolar lavage. Sampling aspirate is non-invasive, but the samples are prone to contamination from the proximal airways. Bronchoalveolar lavage (BAL) allows for sample collection from the distal lung without proximal airway contamination, but this technique is invasive and cannot be repeated frequently for surveillance. Here we propose to develop and test a non-invasive, high-efficiency system for collecting exhaled respiratory aerosols from mechanically ventilated patients. This system will collect large aerosols, typically generated in the proximal airways, separately from smaller aerosols, which are typically generated in the very distal airways, thus providing independent samples from these two distinct compartments of the lung. The collection of a sample from the distal lung will facilitate the correct diagnosis VAP. The system will allow for short sample collection times, facilitating repeated measures and timely surveillance, and will be developed and tested in an ex vivo human lung model using culture and non-culture-based methods. We will also evaluate the utility of collected aerosol samples for surveying the microbial, fungal, and viral community members in the lung (the lung microbiome). Misbalances in the bacterial communities (respiratory dysbiosis) have been associated with decreased survival in mechanically ventilated patients and may play a role in both local and systemic inflammation. Finally, we will evaluate the use of exhaled aerosol samples to indicate host response to infection and lung injury through the analysis of biomarkers related to endothelial and epithelial permeability, inflammation, and infection. Markers of host response and lung injury may help to differentiate simple bacterial colonization from acute infection and VAP. Pneumonia is the leading cause of Acute Respiratory Distress Syndrome (ARDS), an often-lethal complication involving a complex dysregulated inflammatory response that causes loss of endothelial and epithelial barrier integrity, resulting in pulmonary edema and respiratory failure. Serial biomarker measurements from distal lung samples may also elucidate the etiology of ARDS after lung infection.
摘要: 呼吸机相关性肺炎(VAP)是机械通气患者的常见并发症, 每年发生超过25万次。VAP发生在机械通气者中比例较高 患有急性呼吸窘迫综合征(ARDS)和新冠肺炎(>50%)的患者。及时发现和 识别病原体是有效治疗的关键,也是区分定植和急性感染的关键。 最常见的微生物学诊断选择是气管内吸液或支气管肺泡的培养。 洗澡。抽吸样本是非侵入性的,但样本容易受到近端的污染。 航空公司。支气管肺泡灌洗(BAL)允许在没有近端呼吸道的情况下从远端肺采集样本 但这项技术是侵入性的,不能频繁重复进行监测。在这里我们 建议开发和测试一种非侵入性、高效的呼气气溶胶收集系统 来自机械通气机患者。这个系统将收集大的气溶胶,通常在近端产生 航空公司,与较小的气溶胶分开,后者通常在很远的呼吸道中产生,从而提供 来自这两个截然不同的肺间室的独立样本。样本的收集来自 远端肺有助于VAP的正确诊断。该系统将允许较短的样本收集时间, 促进重复措施和及时监测,并将在体外人类身上开发和测试 肺模型采用培养和非培养为基础的方法。我们还将评估收集到的气溶胶的效用。 用于调查肺部(肺微生物组)中微生物、真菌和病毒群落成员的样本。 细菌群落的失衡(呼吸失调)与存活率下降有关。 在机械通气患者中,可能在局部和全身炎症中发挥作用。最后,我们会 评估呼出的气溶胶样本的使用,以指示宿主对感染和肺损伤的反应 分析与内皮和上皮通透性、炎症和感染相关的生物标记物。标记: 宿主反应和肺损伤可能有助于区分简单的细菌定植和急性感染和 VAP。肺炎是急性呼吸窘迫综合征(ARDS)的主要原因,ARDS是一种经常致命的疾病 并发症涉及复杂的失调炎症反应,导致内皮和血管内皮细胞的丢失 上皮屏障完整,导致肺水肿和呼吸衰竭。系列生物标志物测量 从远端肺标本中提取的DNA也可能阐明肺部感染后ARDS的病因。

项目成果

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Timothy E Corcoran其他文献

Timothy E Corcoran的其他文献

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{{ truncateString('Timothy E Corcoran', 18)}}的其他基金

Improving Inhaled Drug Delivery with Self-dispersing Liquids
利用自分散液体改善吸入药物输送
  • 批准号:
    8977523
  • 财政年份:
    2011
  • 资助金额:
    $ 23.85万
  • 项目类别:
Imaging Airway Liquid Absorption in Cystic Fibrosis
囊性纤维化气道液体吸收成像
  • 批准号:
    8680333
  • 财政年份:
    2011
  • 资助金额:
    $ 23.85万
  • 项目类别:
Imaging Airway Liquid Absorption in Cystic Fibrosis
囊性纤维化气道液体吸收成像
  • 批准号:
    8479429
  • 财政年份:
    2011
  • 资助金额:
    $ 23.85万
  • 项目类别:
Imaging Airway Liquid Absorption in Cystic Fibrosis
囊性纤维化气道液体吸收成像
  • 批准号:
    8850896
  • 财政年份:
    2011
  • 资助金额:
    $ 23.85万
  • 项目类别:
Imaging Airway Liquid Absorption in Cystic Fibrosis
囊性纤维化气道液体吸收成像
  • 批准号:
    8153432
  • 财政年份:
    2011
  • 资助金额:
    $ 23.85万
  • 项目类别:
Imaging Airway Liquid Absorption in Cystic Fibrosis
囊性纤维化气道液体吸收成像
  • 批准号:
    8302242
  • 财政年份:
    2011
  • 资助金额:
    $ 23.85万
  • 项目类别:
Improving Inhaled Drug Delivery with Self-dispersing Liquids
利用自分散液体改善吸入药物输送
  • 批准号:
    8586544
  • 财政年份:
    2011
  • 资助金额:
    $ 23.85万
  • 项目类别:
Improving Inhaled Drug Delivery with Self-dispersing Liquids
利用自分散液体改善吸入药物输送
  • 批准号:
    8777009
  • 财政年份:
    2011
  • 资助金额:
    $ 23.85万
  • 项目类别:
Improving Inhaled Drug Delivery with Self-dispersing Liquids
利用自分散液体改善吸入药物输送
  • 批准号:
    8399077
  • 财政年份:
    2011
  • 资助金额:
    $ 23.85万
  • 项目类别:
Improving Inhaled Drug Delivery with Self-dispersing Liquids
利用自分散液体改善吸入药物输送
  • 批准号:
    8235605
  • 财政年份:
    2011
  • 资助金额:
    $ 23.85万
  • 项目类别:

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机械建模与机器学习相结合诊断急性呼吸窘迫综合征
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