ArticleAnalytical and bioanalytical chemistry2019
Rapid breath analysis for acute respiratory distress syndrome diagnostics using a portable two-dimensional gas chromatography device.
Article in Analytical and bioanalytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis.BMC medical informatics and decision making · 2025Pooled it
- A systematic review of machine learning models for management, prediction and classification of ARDS.Respiratory research · 2024Pooled it
- Respirator-integrated continuous gas sampling for broadband optical spectroscopy.Scientific reports · 2026Article
- Harnessing breath biomarkers for pneumonia diagnosis and prognosis.Expert review of respiratory medicine · 2026Review
- Breath by Breath: Navigating the Landscape of Exhaled Breath in Clinical Research and Prospects for the Future.Journal of analytical methods in chemistry · 2026Review
- Breathomics: may it become an affordable, new tool for early diagnosis of non-small-cell lung cancer? An exploratory study on a cohort of 60 patients.Interdisciplinary cardiovascular and thoracic surgery · 2024Article
- Colorectal Cancer Diagnosis through Breath Test Using a Portable Breath Analyzer-Preliminary Data.Sensors (Basel, Switzerland) · 2024Article
- Breath metabolomics for diagnosis of acute respiratory distress syndrome.Critical care (London, England) · 2024Observational
- Octane in exhaled breath to diagnose acute respiratory distress syndrome in invasively ventilated intensive care unit patients.ERJ open research · 2023Article
- Nonequilibrium sensing of volatile compounds using active and passive analyte delivery.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Ultrathin Silica Integration for Enhancing Reliability of Microfluidic Photoionization Detectors.Analytical chemistry · 2023Article
- Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant.JAMA network open · 2023Article
- Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites.Sensors and actuators. B, Chemical · 2022Article
- Early prediction of moderate-to-severe condition of inhalation-induced acute respiratory distress syndrome via interpretable machine learning.BMC pulmonary medicine · 2022Article
- Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine.ERJ open research · 2022Article
- Portable comprehensive two-dimensional micro-gas chromatography using an integrated flow-restricted pneumatic modulator.Microsystems & nanoengineering · 2022Article
- Breath octane and acetaldehyde as markers for acute respiratory distress syndrome in invasively ventilated patients suspected to have ventilator-associated pneumonia.ERJ open research · 2022Article
- A method for the identification of COVID-19 biomarkers in human breath using Proton Transfer Reaction Time-of-Flight Mass Spectrometry.EClinicalMedicine · 2021Article
- Volatile organic compounds (VOCs) in exhaled breath as a marker of hypoxia in multiple chemical sensitivity.Physiological reports · 2021Article
- Real Time Breath Analysis Using Portable Gas Chromatography for Adult Asthma Phenotypes.Metabolites · 2021Article
Corrections and comments
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Authors and funding
17 authors at 2 institutions in 1 country.
Funding
Abstract
Acute respiratory distress syndrome (ARDS) is the most severe form of acute lung injury, responsible for high mortality and long-term morbidity. As a dynamic syndrome with multiple etiologies, its timely diagnosis is difficult as is tracking the course of the syndrome. Therefore, there is a significant need for early, rapid detection and diagnosis as well as clinical trajectory monitoring of ARDS. Here, we report our work on using human breath to differentiate ARDS and non-ARDS causes of respiratory failure. A fully automated portable 2-dimensional gas chromatography device with high peak capacity (> 200 at the resolution of 1), high sensitivity (sub-ppb), and rapid analysis capability (~ 30 min) was designed and made in-house for on-site analysis of patients' breath. A total of 85 breath samples from 48 ARDS patients and controls were collected. Ninety-seven elution peaks were separated and detected in 13 min. An algorithm based on machine learning, principal component analysis (PCA), and linear discriminant analysis (LDA) was developed. As compared to the adjudications done by physicians based on the Berlin criteria, our device and algorithm achieved an overall accuracy of 87.1% with 94.1% positive predictive value and 82.4% negative predictive value. The high overall accuracy and high positive predicative value suggest that the breath analysis method can accurately diagnose ARDS. The ability to continuously and non-invasively monitor exhaled breath for early diagnosis, disease trajectory tracking, and outcome prediction monitoring of ARDS may have a significant impact on changing practice and improving patient outcomes. Graphical abstract.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.