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  4. Simulation-based optimisation to quantify heterogeneity of specific ventilation and perfusion in the lung by the Inspired Sinewave Test
 
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Simulation-based optimisation to quantify heterogeneity of specific ventilation and perfusion in the lung by the Inspired Sinewave Test

Journal
Scientific Reports
Journal Volume
11
Journal Issue
1
Date Issued
2021
Author(s)
Tran M.C
Nguyen V
Bruce R
Crockett D.C
Formenti F
Phan P.A
Payne S.J
STEPHEN JOHN PAYNE  
DOI
10.1038/s41598-021-92062-w
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108161990&doi=10.1038%2fs41598-021-92062-w&partnerID=40&md5=692686604a1a33fc4bef21b62a490477
https://scholars.lib.ntu.edu.tw/handle/123456789/598851
Abstract
The degree of specific ventilatory heterogeneity (spatial unevenness of ventilation) of the lung is a useful marker of early structural lung changes which has the potential to detect early-onset disease. The Inspired Sinewave Test (IST) is an established noninvasive ‘gas-distribution’ type of respiratory test capable of measuring the cardiopulmonary parameters. We developed a simulation-based optimisation for the IST, with a simulation of a realistic heterogeneous lung, namely a lognormal distribution of spatial ventilation and perfusion. We tested this method in datasets from 13 anaesthetised pigs (pre and post-lung injury) and 104 human subjects (32 healthy and 72 COPD subjects). The 72 COPD subjects were classified into four COPD phenotypes based on ‘GOLD’ classification. This method allowed IST to identify and quantify heterogeneity of both ventilation and perfusion, permitting diagnostic distinction between health and disease states. In healthy volunteers, we show a linear relationship between the ventilatory heterogeneity versus age (R2= 0.42). In a mechanically ventilated pig, IST ventilatory heterogeneity in noninjured and injured lungs was significantly different (p < 0.0001). Additionally, measured indices could accurately identify patients with COPD (area under the receiver operating characteristic curve is 0.76, p < 0.0001). The IST also could distinguish different phenotypes of COPD with 73% agreement with spirometry. ? 2021, The Author(s).
Subjects
adult
aged
animal
animal model
Bayes theorem
case control study
chronic obstructive lung disease
computer simulation
female
human
lung function test
lung ventilation
male
middle aged
pathophysiology
pig
procedures
respiratory distress syndrome
Adult
Aged
Animals
Bayes Theorem
Case-Control Studies
Computer Simulation
Female
Humans
Male
Middle Aged
Models, Animal
Pulmonary Disease, Chronic Obstructive
Pulmonary Ventilation
Respiratory Distress Syndrome
Respiratory Function Tests
Swine
SDGs

[SDGs]SDG3

Type
journal article

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