Literature DB >> 26476125

Volatile organic compounds in asthma diagnosis: a systematic review and meta-analysis.

J Cavaleiro Rufo1,2, J Madureira1, E Oliveira Fernandes1, A Moreira2.   

Abstract

We aimed to assess the value and classification rate of exhaled volatile organic compounds (VOCs) in asthma diagnosis. A PRISMA-oriented systematic search for published studies regarding exhaled VOCs in asthma diagnosis was conducted based on predefined criteria. Studies presenting sensitivity and specificity values for the test were included in the meta-analysis. Pooled diagnosis odds ratios (DOR), area under the curve (AUC) and positive and negative likelihood ratios (LR) for exhaled VOC profiles were calculated; and publication bias, threshold effect and heterogeneity were estimated. Eighteen studies were selected for the qualitative analysis and six met the criteria for inclusion in the quantitative analysis. Mean (95% CI) pooled DOR, positive and negative LR were 49.3 (15.9-153.3), 5.86 (3.07-11.21) and 0.16 (0.10-0.26), respectively. The AUC value was 0.94. Only three of the 18 reviewed studies performed an external validation of the model using a different data set. The results from the revised studies suggest that exhaled VOCs are promising biomarkers for asthma diagnosis and that several compounds, mainly alkanes, may be significantly associated with asthma inflammation. However, there are still various constraints associated with standardization and externally validated studies are needed to introduce exhaled VOC profiling in a clinical scenario.
© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  asthma; diagnosis; exhaled biomarkers; volatile organic compounds

Mesh:

Substances:

Year:  2015        PMID: 26476125     DOI: 10.1111/all.12793

Source DB:  PubMed          Journal:  Allergy        ISSN: 0105-4538            Impact factor:   13.146


  16 in total

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Authors:  Sarah K Medrek; Amit D Parulekar; Nicola A Hanania
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2.  Rational lung tissue and animal models for rapid breath tests to determine pneumonia and pathogens.

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3.  Using a chemiresistor-based alkane sensor to distinguish exhaled breaths of lung cancer patients from subjects with no lung cancer.

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Journal:  J Thorac Dis       Date:  2016-10       Impact factor: 2.895

4.  Indoor pollutant exposure among children with and without asthma in Porto, Portugal, during the cold season.

Authors:  Joana Madureira; Inês Paciência; João Cavaleiro-Rufo; Eduardo de Oliveira Fernandes
Journal:  Environ Sci Pollut Res Int       Date:  2016-07-27       Impact factor: 4.223

5.  Real Time Breath Analysis Using Portable Gas Chromatography for Adult Asthma Phenotypes.

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Journal:  Metabolites       Date:  2021-04-23

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Authors:  Shengjie Xu; Reynold A Panettieri; Joseph Jude
Journal:  Mol Aspects Med       Date:  2021-07-17

Review 7.  Eicosanoid Mediators in the Airway Inflammation of Asthmatic Patients: What is New?

Authors:  Marek Sanak
Journal:  Allergy Asthma Immunol Res       Date:  2016-11       Impact factor: 5.764

8.  Improving predictive asthma algorithms with modelled environment data for Scotland: an observational cohort study protocol.

Authors:  Ireneous N Soyiri; Aziz Sheikh; Stefan Reis; Kimberly Kavanagh; Massimo Vieno; Tom Clemens; Edward J Carnell; Jiafeng Pan; Abby King; Rachel C Beck; Hester J T Ward; Chris Dibben; Chris Robertson; Colin R Simpson
Journal:  BMJ Open       Date:  2018-05-20       Impact factor: 2.692

Review 9.  Measuring inflammation in paediatric severe asthma: biomarkers in clinical practice.

Authors:  Amelia Licari; Sara Manti; Riccardo Castagnoli; Salvatore Leonardi; Gian Luigi Marseglia
Journal:  Breathe (Sheff)       Date:  2020-03

10.  Exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing age.

Authors:  Rosa A Sola-Martínez; Gema Lozano-Terol; Julia Gallego-Jara; Eva Morales; Esther Cantero-Cano; Manuel Sanchez-Solis; Luis García-Marcos; Pedro Jiménez-Guerrero; José A Noguera-Velasco; Manuel Cánovas Díaz; Teresa de Diego Puente
Journal:  Sci Rep       Date:  2021-07-05       Impact factor: 4.379

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