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Diagnostic accuracy of FeNO and asthma symptoms increased when evaluated with a superior reference standard

  • Christina Kellerer
  • , Stefan Wagenpfeil
  • , Luke Daines
  • , Rudolf A. Jörres
  • , Alexander Hapfelmeier
  • , Antonius Schneider
  • Technical University of Munich
  • Saarland University Medical Center
  • The University of Edinburgh Medical School
  • Ludwig-Maximilians-Universität München

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Objectives: The objective of the study is to determine the impact of changing reference standards (RS), namely spirometry vs. whole-body plethysmography (WBP), on estimation of the diagnostic accuracy of fractional exhaled nitric oxide (FeNO) and clinical signs and symptoms (CSS) as index tests regarding asthma diagnosis. Study Design and Setting: This was a diagnostic study conducted in 393 patients attending a private practice of pneumologists with complaints suspicious of asthma. First, the index tests were compared with the diagnostic results of spirometry in terms of forced expiratory volume in the first second (FEV1) responsiveness. Second, the index tests were compared with the results of WBP in terms of specific airway resistance and FEV1 responsiveness. Areas under the curve (AUC) were compared with a generalized estimating equation approach based on binary logistic regression. Results: FeNO values and CSS ‘wheezing’ and ‘allergic rhinitis’ showed higher specificities (P < 0.001) and sensitivities (not significant) when evaluated with WBP; also, Youden indices increased in these CSS (P < 0.05). AUC of FeNO in combination with ‘wheezing’ and ‘allergic rhinitis’ when WBP was used as RS (AUC = 0.724; 95% confidence interval 0.672 to 0.776) was higher compared with spirometry as RS (AUC = 0.654; 95% confidence interval 0.585 to 0.722) (P < 0.001). Conclusion: In case of asthma, superior RS led to more favorable assessment of index tests. FeNO measurement might have been underestimated in some previous studies.

Original languageEnglish
Pages (from-to)86-96
Number of pages11
JournalJournal of Clinical Epidemiology
Volume129
DOIs
StatePublished - Jan 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Area under the curve
  • Asthma
  • Diagnostic study
  • Fractional exhaled nitric oxide
  • Sensitivity
  • Specificity

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