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远端气道收缩对吸入颗粒沉积模式的非局部影响。

Non-local impact of distal airway constrictions on patterns of inhaled particle deposition.

作者信息

Shemilt James D, Horsley Alex, Wild Jim M, Jensen Oliver E, Thompson Alice B, Whitfield Carl A

机构信息

Department of Mathematics, University of Manchester, Manchester, UK.

Division of Immunology, Immunity to Infection and Respiratory Medicine, University of Manchester, Manchester, UK.

出版信息

R Soc Open Sci. 2024 Nov 6;11(11):241108. doi: 10.1098/rsos.241108. eCollection 2024 Nov.

Abstract

Airway constriction and blockage in obstructive lung diseases cause ventilation heterogeneity and create barriers to effective drug deposition. Established computational particle-deposition models have not accounted for these impacts of disease. We present a new particle-deposition model that calculates ventilation based on the resistance of each airway, such that ventilation responds to airway constriction. The model incorporates distal airway constrictions representative of cystic fibrosis, allowing us to investigate the resulting impact on patterns of deposition. Unlike previous models, our model predicts how constrictions affect deposition in airways throughout the lungs, not just in the constricted airways. Deposition is reduced in airways directly distal and proximal to constrictions. When constrictions are clustered together, central-airways deposition can increase significantly in regions away from constrictions, but distal-airways deposition in those regions remains largely unchanged. We use our model to calculate lung clearance index (LCI), a clinical measure of ventilation heterogeneity, after applying constrictions of varying severities in one lobe. We find an increase in LCI coinciding with significantly reduced deposition in the affected lobe. Our results show how the model provides a framework for development of computational tools that capture the impacts of airway disease, which could significantly affect predictions of regional dosing.

摘要

阻塞性肺疾病中的气道收缩和阻塞会导致通气不均一性,并对有效的药物沉积造成阻碍。现有的计算颗粒沉积模型并未考虑疾病的这些影响。我们提出了一种新的颗粒沉积模型,该模型基于每个气道的阻力来计算通气量,从而使通气量对气道收缩做出响应。该模型纳入了代表囊性纤维化的远端气道收缩情况,使我们能够研究其对沉积模式的影响。与之前的模型不同,我们的模型预测收缩如何影响整个肺部气道的沉积,而不仅仅是收缩气道内的沉积。在收缩部位直接远端和近端的气道中,沉积减少。当收缩聚集在一起时,在远离收缩部位的区域,中央气道沉积可能会显著增加,但这些区域的远端气道沉积基本保持不变。我们使用该模型在一个肺叶中应用不同严重程度的收缩后计算肺清除指数(LCI),这是一种通气不均一性的临床测量指标。我们发现LCI增加,同时受影响肺叶中的沉积显著减少。我们的结果表明,该模型如何为开发捕捉气道疾病影响的计算工具提供了一个框架,这可能会显著影响区域给药的预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e16/11539137/ab1446be2e56/rsos.241108.f001.jpg

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