Impact of different fixed flow sampling protocols on flow‐independent exhaled nitric oxide parameter estimates using the Bayesian dynamic two‐compartment model

Impact of different fixed flow sampling protocols on flow‐independent exhaled nitric oxide parameter estimates using the Bayesian dynamic two‐compartment model

Abstract Exhaled nitric oxide (FeNO) is an established respiratory biomarker with clinical applications in the diagnosis and management of asthma. Because FeNO depends strongly on the flow (exhalation) rate, early protocols specified that measurements should be taken when subjects exhaled at a fixed...

Full description

Bibliographic Details
Main Authors: Patrick Muchmore, Shujing Xu, Paul Marjoram, Edward B. Rappaport, Jingying Weng, Noa Molshatzki, Sandrah P. Eckel
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Physiological Reports
Subjects:
Bayesian inference
exhaled breath
FeNO
sampling protocol
Online Access:https://doi.org/10.14814/phy2.14336

Internet

https://doi.org/10.14814/phy2.14336

Similar Items