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Baseline spirometry parameters as predictors of airway hyperreactivity in adults with suspected asthma
BACKGROUND: Methacholine challenge tests (MCTs) are used to diagnose airway hyperresponsiveness (AHR) in patients with suspected asthma where previous diagnostic testing has been inconclusive. The test is time consuming and usually requires referral to specialized centers. Simple methods to predict...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101108/ https://www.ncbi.nlm.nih.gov/pubmed/33957916 http://dx.doi.org/10.1186/s12890-021-01506-6 |
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author | Peled, Michael Ovadya, David Cohn, Jennifer Seluk, Lior Pullerits, Teet Segel, Michael J. Onn, Amir |
author_facet | Peled, Michael Ovadya, David Cohn, Jennifer Seluk, Lior Pullerits, Teet Segel, Michael J. Onn, Amir |
author_sort | Peled, Michael |
collection | PubMed |
description | BACKGROUND: Methacholine challenge tests (MCTs) are used to diagnose airway hyperresponsiveness (AHR) in patients with suspected asthma where previous diagnostic testing has been inconclusive. The test is time consuming and usually requires referral to specialized centers. Simple methods to predict AHR could help determine which patients should be referred to MCTs, thus avoiding unnecessary testing. Here we investigated the potential use of baseline spirometry variables as surrogate markers for AHR in adults with suspected asthma. METHODS: Baseline spirometry and MCTs performed between 2013 and 2019 in a large tertiary center were retrospectively evaluated. Receiver-operating characteristic curves for the maximal expiratory flow-volume curve indices (angle β, FEV1, FVC, FEV1/FVC, FEF(50%), FEF(25–75%)) were constructed to assess their overall accuracy in predicting AHR and optimal cutoff values were identified. RESULTS: A total of 2983 tests were analyzed in adults aged 18–40 years. In total, 14% of all MCTs were positive (PC20 ≤ 16 mg/ml). All baseline spirometry parameters were significantly lower in the positive group (p < 0.001). FEF(50%) showed the best overall accuracy (AUC = 0.688) and proved to be useful as a negative predictor when applying FEF(50%) ≥ 110% as a cutoff level. CONCLUSIONS: This study highlights the role of FEF(50%) in predicting AHR in patients with suspected asthma. A value of ≥ 110% for baseline FEF(50%) could be used to exclude AHR and would lead to a substantial decrease in MCT referrals. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-021-01506-6. |
format | Online Article Text |
id | pubmed-8101108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81011082021-05-06 Baseline spirometry parameters as predictors of airway hyperreactivity in adults with suspected asthma Peled, Michael Ovadya, David Cohn, Jennifer Seluk, Lior Pullerits, Teet Segel, Michael J. Onn, Amir BMC Pulm Med Research Article BACKGROUND: Methacholine challenge tests (MCTs) are used to diagnose airway hyperresponsiveness (AHR) in patients with suspected asthma where previous diagnostic testing has been inconclusive. The test is time consuming and usually requires referral to specialized centers. Simple methods to predict AHR could help determine which patients should be referred to MCTs, thus avoiding unnecessary testing. Here we investigated the potential use of baseline spirometry variables as surrogate markers for AHR in adults with suspected asthma. METHODS: Baseline spirometry and MCTs performed between 2013 and 2019 in a large tertiary center were retrospectively evaluated. Receiver-operating characteristic curves for the maximal expiratory flow-volume curve indices (angle β, FEV1, FVC, FEV1/FVC, FEF(50%), FEF(25–75%)) were constructed to assess their overall accuracy in predicting AHR and optimal cutoff values were identified. RESULTS: A total of 2983 tests were analyzed in adults aged 18–40 years. In total, 14% of all MCTs were positive (PC20 ≤ 16 mg/ml). All baseline spirometry parameters were significantly lower in the positive group (p < 0.001). FEF(50%) showed the best overall accuracy (AUC = 0.688) and proved to be useful as a negative predictor when applying FEF(50%) ≥ 110% as a cutoff level. CONCLUSIONS: This study highlights the role of FEF(50%) in predicting AHR in patients with suspected asthma. A value of ≥ 110% for baseline FEF(50%) could be used to exclude AHR and would lead to a substantial decrease in MCT referrals. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-021-01506-6. BioMed Central 2021-05-06 /pmc/articles/PMC8101108/ /pubmed/33957916 http://dx.doi.org/10.1186/s12890-021-01506-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Peled, Michael Ovadya, David Cohn, Jennifer Seluk, Lior Pullerits, Teet Segel, Michael J. Onn, Amir Baseline spirometry parameters as predictors of airway hyperreactivity in adults with suspected asthma |
title | Baseline spirometry parameters as predictors of airway hyperreactivity in adults with suspected asthma |
title_full | Baseline spirometry parameters as predictors of airway hyperreactivity in adults with suspected asthma |
title_fullStr | Baseline spirometry parameters as predictors of airway hyperreactivity in adults with suspected asthma |
title_full_unstemmed | Baseline spirometry parameters as predictors of airway hyperreactivity in adults with suspected asthma |
title_short | Baseline spirometry parameters as predictors of airway hyperreactivity in adults with suspected asthma |
title_sort | baseline spirometry parameters as predictors of airway hyperreactivity in adults with suspected asthma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101108/ https://www.ncbi.nlm.nih.gov/pubmed/33957916 http://dx.doi.org/10.1186/s12890-021-01506-6 |
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