ArticleThe Analyst2021
Detection and quantification of exhaled volatile organic compounds in mechanically ventilated patients - comparison of two sampling methods.
Article in The Analyst, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
The trial behind it
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
9 citing papers in PubMed, 20 citations in OpenAlex.
- Invasive ventilator exhaust in critical care: aerosol transmission risks and management strategies-a narrative review.Critical care (London, England) · 2025Review
- Development of an E-Nose System for the Early Diagnosis of Sepsis During Mechanical Ventilation: A Porcine Feasibility Study.Sensors (Basel, Switzerland) · 2025Article
- Fulfilling the Promise of Breathomics: Considerations for the Discovery and Validation of Exhaled Volatile Biomarkers.American journal of respiratory and critical care medicine · 2024Review
- Volatile organic compounds and cancer risk assessment in an intensive care unit.International journal of biometeorology · 2024Article
- Breath metabolomics for diagnosis of acute respiratory distress syndrome.Critical care (London, England) · 2024Observational
- Volatilomes of human infection.Analytical and bioanalytical chemistry · 2024Review
- Microbial Volatiles as Diagnostic Biomarkers of Bacterial Lung Infection in Mechanically Ventilated Patients.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Validation of volatile metabolites of pulmonary oxidative injury: a bench to bedside study.ERJ open research · 2023Article
- Breath and plasma metabolomics to assess inflammation in acute stroke.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 6 countries.
Funding
Abstract
Exhaled breath analysis is a promising new diagnostic tool, but currently no standardised method for sampling is available in mechanically ventilated patients. We compared two breath sampling methods, first using an artificial ventilator circuit, then in "real life" in mechanically ventilated patients on the intensive care unit. In the laboratory circuit, a 24-component synthetic-breath volatile organic compound (VOC) mixture was injected into the system as air was sampled: (A) through a port on the exhalation limb of the circuit and (B) through a closed endo-bronchial suction catheter. Sorbent tubes were used to collect samples for analysis by thermal desorption-gas chromatography-mass spectrometry. Realistic mechanical ventilation rates and breath pressure-volume loops were established and method detection limits (MDLs) were calculated for all VOCs. Higher yields of VOCs were retrieved using the closed suction catheter; however, for several VOCs MDLs were compromised due to the background signal associated with plastic and rubber components in the catheters. Different brands of suction catheter were compared. Exhaled VOC data from 40 patient samples collected at two sites were then used to calculate the proportion of data analysed above the MDL. The relative performance of the two methods differed depending on the VOC under study and both methods showed sensitivity towards different exhaled VOCs. Furthermore, method performance differed depending on recruitment site, as the centres were equipped with different brands of respiratory equipment, an important consideration for the design of multicentre studies investigating exhaled VOCs in mechanically ventilated patients.
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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.