Diagnostic accuracy of FeNO [fractional exhaled nitric oxide] and asthma symptoms increased when evaluated with a superior reference standard.


Journal

Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383

Informations de publication

Date de publication:
01 2021
Historique:
received: 24 01 2020
revised: 22 07 2020
accepted: 15 09 2020
pubmed: 11 10 2020
medline: 7 9 2021
entrez: 10 10 2020
Statut: ppublish

Résumé

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. 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 (FEV 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). In case of asthma, superior RS led to more favorable assessment of index tests. FeNO measurement might have been underestimated in some previous studies.

Identifiants

pubmed: 33038543
pii: S0895-4356(20)31107-0
doi: 10.1016/j.jclinepi.2020.09.021
pii:
doi:

Substances chimiques

Nitric Oxide 31C4KY9ESH

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

86-96

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Christina Kellerer (C)

Institute of General Practice and Health Services Research, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Stefan Wagenpfeil (S)

Institute for Medical Biometry, Epidemiology and Medical Informatics (IMBEI), Saarland University, Homburg, Germany.

Luke Daines (L)

Asthma UK Centre for Applied Research, Usher Institute, The University of Edinburgh, Edinburgh, UK.

Rudolf A Jörres (RA)

Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig-Maximilians-Universität München, Munich, Germany.

Alexander Hapfelmeier (A)

Institute of General Practice and Health Services Research, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; Institute for Medical Statistics and Epidemiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Antonius Schneider (A)

Institute of General Practice and Health Services Research, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany. Electronic address: antonius.schneider@tum.de.

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Classifications MeSH