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Converting <scp> F ENO </scp> by different flows to standard flow <scp> F ENO </scp>

Authors :
Anssi Sovijärvi
L. P. Malmberg
Tuula Lindholm
Paul G. Lassmann-Klee
Päivi Piirilä
Lauri Lehtimäki
Department of Diagnostics and Therapeutics
Clinicum
HUS Medical Imaging Center
University of Helsinki
HUS Inflammation Center
Department of Dermatology, Allergology and Venereology
Source :
Clinical Physiology and Functional Imaging. 39:315-321
Publication Year :
2019
Publisher :
Wiley, 2019.

Abstract

In clinical practice, assessment of expiratory nitric oxide (F-ENO) may reveal eosinophilic airway inflammation in asthmatic and other pulmonary diseases. Currently, measuring of F-ENO is standardized to exhaled flow level of 50 ml s(-1), since the expiratory flow rate affects the F-ENO results. To enable the comparison of F-ENO measured with different expiratory flows, we firstly aimed to establish a conversion model to estimate F-ENO at the standard flow level, and secondly, validate it in five external populations. F-ENO measurements were obtained from 30 volunteers (mixed adult population) at the following multiple expiratory flow rates: 50, 30, 100 and 300 ml s(-1), after different mouthwash settings, and a conversion model was developed. We tested the conversion model in five populations: healthy adults, healthy children, and patients with COPD, asthma and alveolitis. F-ENO conversions in the mixed adult population, in healthy adults and in children, showed the lowest deviation between estimated FENO from 100 ml s(-1) and measured F-ENO at 50 mL s(-1): -0 center dot 28 ppb, -0 center dot 44 ppb and 0 center dot 27 ppb, respectively. In patients with COPD, asthma and alveolitis, the deviation was -1 center dot 16 ppb, -1 center dot 68 ppb and 1 center dot 47 ppb, respectively. We proposed a valid model to convert F-ENO in healthy or mixed populations, as well as in subjects with obstructive pulmonary diseases and found it suitable for converting F-ENO measured with different expiratory flows to the standard flow in large epidemiological data, but not on individual level. In conclusion, a model to convert F-ENO from different flows to the standard flow was established and validated.

Details

ISSN :
1475097X and 14750961
Volume :
39
Database :
OpenAIRE
Journal :
Clinical Physiology and Functional Imaging
Accession number :
edsair.doi.dedup.....1d0142705f4f9a0c619099f448dd2471