Use of the impulse oscillometry system for testing pulmonary function during methacholine bronchoprovocation in horses

2003 ◽  
Vol 64 (11) ◽  
pp. 1414-1420 ◽  
Author(s):  
Emmanuelle van Erck ◽  
Dominique M. Votion ◽  
Nathalie Kirschvink ◽  
Tatiana Art ◽  
Pierre Lekeux
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Liang-Yuan Li ◽  
Tian-Sheng Yan ◽  
Jing Yang ◽  
Yu-Qi Li ◽  
Lin-Xi Fu ◽  
...  

Abstract Background Subjects with chronic respiratory symptoms and preserved pulmonary function (PPF) may have small airway dysfunction (SAD). As the most common means to detect SAD, spirometry needs good cooperation and its reliability is controversial. Impulse oscillometry (IOS) may complete the deficiency of spirometry and have higher sensitivity. We aimed to explore the diagnostic value of IOS to detect SAD in symptomatic subjects with PPF. Methods The evaluation of symptoms, spirometry and IOS results in 209 subjects with chronic respiratory symptoms and PPF were assessed. ROC curves of IOS to detect SAD were analyzed. Results 209 subjects with chronic respiratory symptoms and PPF were included. Subjects who reported sputum had higher R5–R20 and Fres than those who didn’t. Subjects with dyspnea had higher R5, R5–R20 and AX than those without. CAT and mMRC scores correlated better with IOS parameters than with spirometry. R5, R5–R20, AX and Fres in subjects with SAD (n = 42) significantly increased compared to those without. Cutoff values for IOS parameters to detect SAD were 0.30 kPa/L s for R5, 0.015 kPa/L s for R5–R20, 0.30 kPa/L for AX and 11.23 Hz for Fres. Fres has the largest AUC (0.665, P = 0.001) among these parameters. Compared with spirometry, prevalence of SAD was higher when measured with IOS. R5 could detect the most SAD subjects with a prevalence of 60.77% and a sensitivity of 81% (AUC = 0.659, P = 0.002). Conclusion IOS is more sensitive to detect SAD than spirometry in subjects with chronic respiratory symptoms and PPF, and it correlates better with symptoms. IOS could be an additional method for SAD detection in the early stage of diseases.


2020 ◽  
Vol 8 (1) ◽  
pp. 229-235.e3 ◽  
Author(s):  
Hwa-Yen Chiu ◽  
Yi-Han Hsiao ◽  
Kang-Cheng Su ◽  
Yu-Chin Lee ◽  
Hsin-Kuo Ko ◽  
...  

Author(s):  
Ayfer Sakarya Gunes ◽  
Zeynep Seda Uyan ◽  
Ela Erdem ◽  
Yasemin Gokdemir ◽  
Bulent Karadag ◽  
...  

2006 ◽  
Vol 100 (7) ◽  
pp. 1180-1185 ◽  
Author(s):  
Antonio Nieto ◽  
Rafael Pamies ◽  
Fernando Oliver ◽  
Alejandra Medina ◽  
Luis Caballero ◽  
...  

2019 ◽  
Vol 143 (2) ◽  
pp. AB12 ◽  
Author(s):  
Patricia P. Jorge ◽  
Jales Henrique Pereira Lima ◽  
Dirceu Sole ◽  
Gustavo F. Wandalsen

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