Assessing the calculation of conductive and acinar ventilatory heterogeneity indices Scond and Sacin from multiple-breath washout data-Reference-Cited by-同舟云学术

Assessing the calculation of conductive and acinar ventilatory heterogeneity indices S_cond and S_acin from multiple-breath washout data

Published:2023-04-01 Issue:4 Volume:134 Page:879-886
ISSN:8750-7587
Container-title:Journal of Applied Physiology
language:en
Short-container-title:Journal of Applied Physiology

Author:

Prisk G. Kim¹²^ORCID,Rutting Sandra²^ORCID,Bozier Jack²^ORCID,Thamrin Cindy²^ORCID,Robinson Paul D.²³^ORCID,Thompson Bruce R.⁴

Affiliation:

1. Department of Medicine, University of California, San Diego, California, United States

2. Woolcock Institute of Medical Research, The University of Sydney, Sydney, New South Wales, Australia

3. Department of Respiratory Medicine, The Children’s Hospital at Westmead, Sydney, New South Wales, Australia

4. Melbourne School of Health Sciences, University of Melbourne, Melbourne, Victoria, Australia

Abstract

Sensor errors that elevated values of N2 concentration in commercial multiple-breath washout (MBW) devices resulted in errors in calculated parameters including Scond and Sacin. We examined the mechanism of the change in values produced by these errors and explored the appropriateness of the calculation of Scond and Sacin. This work serves to emphasize that the current algorithm in use is appropriate for the calculation of Scond and Sacin.

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

Link

https://journals.physiology.org/doi/pdf/10.1152/japplphysiol.00423.2022

Reference20 articles.

1. Improved agreement between N2 and SF6 multiple breath washout in healthy infants and toddlers with improved EXHALYZER D® sensor performance

2. Correction of sensor crosstalk error in Exhalyzer D multiple-breath washout device significantly impacts outcomes in children with cystic fibrosis

3. Nitrogen-based lung clearance index: a valid physiological biomarker for the clinic

4. Impact of Spiroware re-analysis method on multiple-breath washout outcomes in children with cystic fibrosis

5. The effect of oxygen and carbon dioxide cross-sensitivity sensor error in the Eco Medics Exhalyzer D device on measures of conductive and acinar airway function

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