Evidence map›Paper›PMID 38521944›Full record

Observational studyCritical care (London, England)2024

Breath metabolomics for diagnosis of acute respiratory distress syndrome.

Shiqi Zhang, Laura A Hagens, Nanon F L Heijnen, Marry R Smit, Paul Brinkman, Dominic Fenn, Tom van der Poll, Marcus J Schultz, Dennis C J J Bergmans, Ronny M Schnabel and 2 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Shiqi Zhang *Amsterdam UMC, Location AMC, Department of Intensive Care, University of Amsterdam, Meibergdreef 9, Room G3-228, 1105 AZ, Amsterdam, The Netherlands. s.zhang@amsterdamumc.nl.
Laura A Hagens *Amsterdam UMC, Location AMC, Department of Intensive Care, University of Amsterdam, Meibergdreef 9, Room G3-228, 1105 AZ, Amsterdam, The Netherlands.
Nanon F L HeijnenDepartment of Intensive Care, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Marry R SmitAmsterdam UMC, Location AMC, Department of Intensive Care, University of Amsterdam, Meibergdreef 9, Room G3-228, 1105 AZ, Amsterdam, The Netherlands.
Paul BrinkmanAmsterdam UMC, Location AMC, University of Amsterdam, Pulmonary Medicine, Amsterdam, The Netherlands.
Dominic FennAmsterdam UMC, Location AMC, University of Amsterdam, Pulmonary Medicine, Amsterdam, The Netherlands.
Tom van der PollAmsterdam UMC, Location AMC, Division of Infectious Diseases, University of Amsterdam, Amsterdam, The Netherlands.
Marcus J SchultzAmsterdam UMC, Location AMC, Department of Intensive Care, University of Amsterdam, Meibergdreef 9, Room G3-228, 1105 AZ, Amsterdam, The Netherlands.
Dennis C J J BergmansDepartment of Intensive Care, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Ronny M SchnabelDepartment of Intensive Care, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Lieuwe D J BosAmsterdam UMC, Location AMC, Department of Intensive Care, University of Amsterdam, Meibergdreef 9, Room G3-228, 1105 AZ, Amsterdam, The Netherlands.
DARTS Consortium
Amsterdam University Medical Centers · NLMaastricht University Medical Centre · NLUniversity of Amsterdam · NLMahidol University · TH

Funding

China Scholarship Council 202106240048
6 · The paper itself

Abstract

backgroundAcute respiratory distress syndrome (ARDS) poses challenges in early identification. Exhaled breath contains metabolites reflective of pulmonary inflammation.

aimTo evaluate the diagnostic accuracy of breath metabolites for ARDS in invasively ventilated intensive care unit (ICU) patients.

methodsThis two-center observational study included critically ill patients receiving invasive ventilation. Gas chromatography and mass spectrometry (GC-MS) was used to quantify the exhaled metabolites. The Berlin definition of ARDS was assessed by three experts to categorize all patients into "certain ARDS", "certain no ARDS" and "uncertain ARDS" groups. The patients with "certain" labels from one hospital formed the derivation cohort used to train a classifier built based on the five most significant breath metabolites. The diagnostic accuracy of the classifier was assessed in all patients from the second hospital and combined with the lung injury prediction score (LIPS).

resultsA total of 499 patients were included in this study. Three hundred fifty-seven patients were included in the derivation cohort (60 with certain ARDS; 17%), and 142 patients in the validation cohort (47 with certain ARDS; 33%). The metabolites 1-methylpyrrole, 1,3,5-trifluorobenzene, methoxyacetic acid, 2-methylfuran and 2-methyl-1-propanol were included in the classifier. The classifier had an area under the receiver operating characteristics curve (AUROCC) of 0.71 (CI 0.63-0.78) in the derivation cohort and 0.63 (CI 0.52-0.74) in the validation cohort. Combining the breath test with the LIPS does not significantly enhance the diagnostic performance.

conclusionAn exhaled breath metabolomics-based classifier has moderate diagnostic accuracy for ARDS but was not sufficiently accurate for clinical use, even after combination with a clinical prediction score.

Indexed as

Lung InjuryPneumoniaRespiratory Distress SyndromeCritical CareHumansLungARDSBreath analysisPrediction modelVOCs

Identifiers

PMID38521944
PMCPMC10960461
OpenAlexW4393109208

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.