School of Medicine, Stony Brook University Hospital, Stony Brook, New York, United States of America.
Department of Medicine, Division of Pulmonary and Critical Care Medicine, Stony Brook University Hospital, Stony Brook, New York, United States of America.
PLoS One. 2020 Mar 12;15(3):e0229972. doi: 10.1371/journal.pone.0229972. eCollection 2020.
Bedside ultrasound techniques have the unique ability to produce instantaneous, dynamic images, and have demonstrated widespread utility in both emergency and critical care settings. The aim of this article is to introduce a novel application of this imaging modality by utilizing an ultrasound based mathematical model to assess respiratory function. With validation, the proposed models have the potential to predict pulmonary function in patients who cannot adequately participate in standard spirometric techniques (inability to form tight seal with mouthpiece, etc.).
Ultrasound was used to measure diaphragm thickness (Tdi) in a small population of healthy, adult males at various points of the respiratory cycle. Each measurement corresponded to a generated negative inspiratory force (NIF), determined by a handheld meter. The data was analyzed using mixed models to produce two representative mathematical models.
Two mathematical models represented the relationship between Tdi and NIFmax, or maximum inspiratory pressure (MIP), both of which were statistically significant with p-values <0.005: 1. log(NIF) = -1.32+4.02×log(Tdi); and 2. NIF = -8.19+(2.55 × Tdi)+(1.79×(Tdi2)).
With validation, these models intend to provide a method of estimating MIP, by way of diaphragm ultrasound measurements, thereby allowing evaluation of respiratory function in patients who may be unable to reliably participate in standard spirometric tests.
床边超声技术具有即时、动态成像的独特能力,已在急诊和重症监护环境中得到广泛应用。本文旨在介绍这种成像方式的一种新应用,即利用基于超声的数学模型来评估呼吸功能。经过验证,这些模型有可能预测无法充分参与标准肺量计技术(无法与吹嘴紧密密封等)的患者的肺功能。
在呼吸周期的不同点,使用超声测量一小部分健康成年男性的膈肌厚度(Tdi)。每个测量值对应于由手持仪表确定的产生的负吸气力(NIF)。使用混合模型对数据进行分析,以生成两个有代表性的数学模型。
两个数学模型都表示 Tdi 和 NIFmax 或最大吸气压力(MIP)之间的关系,两者均具有统计学意义(p 值均 <0.005):1. log(NIF)=-1.32+4.02×log(Tdi);2. NIF=-8.19+(2.55×Tdi)+(1.79×(Tdi2))。
经过验证,这些模型旨在提供一种通过膈肌超声测量来估计 MIP 的方法,从而可以评估可能无法可靠参与标准肺量计测试的患者的呼吸功能。