Respiratory failure & ventilation
Breath metabolomics for diagnosis of acute respiratory distress syndrome
Authors' conclusion
An 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.
Study context
- Population
- Critically ill invasively ventilated intensive care unit (ICU) patients
- Participants
- 499 participants · 2 centres
- Comparison
- Derivation vs Validation
- Derivationn = 357
- Validationn = 142
- Outcome
- Diagnostic accuracy of breath metabolites for ARDS
Methodological detailstwo-centre, observational, derivation and validation cohorts
- Two-centre
- Observational
- Derivation and validation cohorts
Performance
As reported in the abstract
Area under the receiver operating characteristics curve (AUROCC) of classifier (5 metabolites) for ARDS
| Test or model | Value | AUC |
|---|---|---|
| Derivation | 17% | 0.71 (CI 0.63-0.78) |
| Validation | 33% | 0.63 (CI 0.52-0.74) |
Value
Derivation17%
Validation33%
AUC
Derivation0.71 (CI 0.63-0.78)
Validation0.63 (CI 0.52-0.74)
Further findings
Classifier combined with lung injury prediction score (LIPS)
- Combining breath test with LIPS does not significantly enhance diagnostic performance
Original publication
Breath metabolomics for diagnosis of acute respiratory distress syndrome. Crit Care. Published 23 March 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →