Khamas, Shahriyar Shahbazi and Van Dijk, Yoni and Abdel-Aziz, Mahmoud I. and Neerincx, Anne H. and Blankestijn, Jelle Maarten and Vijverberg, Susanne J. H. and Hashimoto, Simone and Bush, Andrew and Kraneveld, Aletta D. and Hedman, Anna M. and Toncheva, Antoaneta A. and Almqvist, Catarina and Wolff, Christine and Murray, Clare S. and Hedlin, Gunilla and Roberts, Graham and Adcock, Ian M. and Korta-Murua, Javier and Bonnelykke, Klaus and Fleming, Louise J. and Pino-Yanes, Maria and Gorenjak, Mario and Kabesch, Michael and Sardon-Prado, Olaia and Montuschi, Paolo and Singer, Florian and Elosegui, Paula Corcuera and Fowler, Stephen J. and Brandstetter, Susanne and Harner, Susanne and Dahlen, Sven-Erik and Potocnik, Uros and Frey, Urs and van Aalderen, Wim and Brinkman, Paul and Maitland-van der Zee, Anke-Hilse (2024) Exhaled Volatile Organic Compounds for Asthma Control Classification in Children with Moderate to Severe Asthma Results from the SysPharmPediA Study. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 210 (9). pp. 1091-1100. ISSN 1073-449X, 1535-4970
Full text not available from this repository. (Request a copy)Abstract
Rationale: The early identification of children with poorly controlled asthma is imperative for optimizing treatment strategies. The analysis of exhaled volatile organic compounds (VOCs) is an emerging approach to identify prognostic and diagnostic biomarkers in pediatric asthma. Objectives: To assess the accuracy of gas chromatography-mass spectrometry-based exhaled metabolite analysis to differentiate between controlled and uncontrolled pediatric asthma. Methods: This study encompassed discovery (SysPharmPediA [Systems Pharmacology Approach to Uncontrolled Paediatric Asthma]) and validation (U-BIOPRED [Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes] and PANDA [Paediatric Asthma-Non-Invasive-Diagnostic-Approaches]) phases. First, exhaled VOCs that discriminated degrees of asthma control were identified. Subsequently, outcomes were validated in two independent cohorts. Patients were classified as controlled or uncontrolled on the basis of asthma control test scores and the number of severe attacks in the past year. In addition, the potential of VOCs to predict two or more future severe asthma attacks in SysPharmPediA was evaluated. Measurements and Main Results: Complete data were available for 196 children (SysPharmPediA, n =100; U-BIOPRED, n = 49; PANDA, n = 47). In SysPharmPediA, after randomly splitting the population into training (n = 51) and test (n = 49) sets, three compounds (acetophenone, ethylbenzene, and styrene) distinguished between patients with uncontrolled and controlled asthma. The areas under the receiver operating characteristic curves (AUROCCs) for training and test sets were, respectively, 0.83 (95% confidence interval [CI], 0.65-1.00) and 0.77 (95% CI, 0.58-0.96). Combinations of these VOCs resulted in AUROCCs of 0.74 +/- 0.06 (U-BIOPRED) and 0.68 +/- 0.05 (PANDA). Attack prediction tests resulted in AUROCCs of 0.71 (95% CI, 0.51-0.91) and 0.71 (95% CI, 0.52-0.90) for the training and test sets. Conclusions: Exhaled metabolite analysis might enable asthma control classification in children. This should stimulate the further development of exhaled metabolite-based point-of-care tests in asthma.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | CHILDHOOD ASTHMA; BREATH; EXACERBATIONS; METABOLOMICS; EXPRESSION; PREDICTION; BIOMARKERS; DIAGNOSIS; BURDEN; biomarkers; volatile organic compounds; breath tests; asthma; gas chromatography-mass spectrometry |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Zentren des Universitätsklinikums Regensburg > Zentrum für Klinische Studien |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 15 Jan 2026 15:07 |
| Last Modified: | 15 Jan 2026 15:07 |
| URI: | https://pred.uni-regensburg.de/id/eprint/65285 |
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