ArticleBMC pulmonary medicine2014
Exhaled breath profiling for diagnosing acute respiratory distress syndrome.
Article in BMC pulmonary medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Exhaled Volatile Organic Compounds Detection in Pneumonia Screening: A Comprehensive Meta-analysis.Lung · 2024Pooled it
- Breath metabolomics for diagnosis of acute respiratory distress syndrome.Critical care (London, England) · 2024Observational
- Exhaled Biomarkers for Point-of-Care Diagnosis: Recent Advances and New Challenges in Breathomics.Micromachines · 2023Review
- 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
- Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine.ERJ open research · 2022Article
- The smell of lung disease: a review of the current status of electronic nose technology.Respiratory research · 2021Review
- Detection and quantification of exhaled volatile organic compounds in mechanically ventilated patients - comparison of two sampling methods.The Analyst · 2021Article
- Metabolomics of exhaled breath in critically ill COVID-19 patients: A pilot study.EBioMedicine · 2021Article
- Systematic review of diagnostic methods for acute respiratory distress syndrome.ERJ open research · 2021Review
- The Role of Electronic Noses in Phenotyping Patients with Chronic Obstructive Pulmonary Disease.Biosensors · 2020Review
- Breath Metabolomics Provides an Accurate and Noninvasive Approach for Screening Cirrhosis, Primary, and Secondary Liver Tumors.Hepatology communications · 2020Article
- Systems Biology ARDS Research with a Focus on Metabolomics.Metabolites · 2020Review
- Precision Medicine in Neonates: Future Perspectives for the Lung.Frontiers in pediatrics · 2020Review
- [Modern breath analysis].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2019Review
- Rapid breath analysis for acute respiratory distress syndrome diagnostics using a portable two-dimensional gas chromatography device.Analytical and bioanalytical chemistry · 2019Article
- Use of Electronic Noses for Diagnosis of Digestive and Respiratory Diseases through the Breath.Biosensors · 2019Review
- Exhaled Volatile Organic Compounds Precedes Pulmonary Injury in a Swine Pulmonary Oxygen Toxicity Model.Frontiers in physiology · 2019Article
- Diagnosis of acute respiratory distress syndrome by exhaled breath analysis.Annals of translational medicine · 2018Review
- Biomarkers for the acute respiratory distress syndrome: how to make the diagnosis more precise.Annals of translational medicine · 2017Review
- Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe acute respiratory distress syndrome (ARDS) is a common, devastating complication of critical illness that is characterized by pulmonary injury and inflammation. The clinical diagnosis may be improved by means of objective biological markers. Electronic nose (eNose) technology can rapidly and non-invasively provide breath prints, which are profiles of volatile metabolites in the exhaled breath. We hypothesized that breath prints could facilitate accurate diagnosis of ARDS in intubated and ventilated intensive care unit (ICU) patients.
methodsProspective single-center cohort study with training and temporal external validation cohort. Breath of newly intubated and mechanically ventilated ICU-patients was analyzed using an electronic nose within 24 hours after admission. ARDS was diagnosed and classified by the Berlin clinical consensus definition. The eNose was trained to recognize ARDS in a training cohort and the diagnostic performance was evaluated in a temporal external validation cohort.
resultsIn the training cohort (40 patients with ARDS versus 66 controls) the diagnostic model for ARDS showed a moderate discrimination, with an area under the receiver-operator characteristic curve (AUC-ROC) of 0.72 (95%-confidence interval (CI): 0.63-0.82). In the external validation cohort (18 patients with ARDS versus 26 controls) the AUC-ROC was 0.71 [95%-CI: 0.54 - 0.87]. Restricting discrimination to patients with moderate or severe ARDS versus controls resulted in an AUC-ROC of 0.80 [95%-CI: 0.70 - 0.90]. The exhaled breath profile from patients with cardiopulmonary edema and pneumonia was different from that of patients with moderate/severe ARDS.
conclusionsAn electronic nose can rapidly and non-invasively discriminate between patients with and without ARDS with modest accuracy. Diagnostic accuracy increased when only moderate and severe ARDS patients were considered. This implicates that breath analysis may allow for rapid, bedside detection of ARDS, especially if our findings are reproduced using continuous exhaled breath profiling.
trial registrationNTR2750, registered 11 February 2011.
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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.