Paediatric anaesthesia & critical care

Evaluation of a Rapid Immunoassay for Molecular Subphenotype Classification in Pediatric Acute Cardiorespiratory Failure

Crit Care MedPublished Retrospective cohort study

Authors' conclusion

A parsimonious, rapid immunoassay-based classifier can approximate LCA-derived molecular subphenotypes while preserving their prognostic and predictive significance, with the potential to inform future subphenotype-based precision trials.

Study context

Population
Critically ill children with acute cardiorespiratory failure and hyperglycemia in multicentre PICUs (2012–2016)
Participants
269 children
Exposure
Rapid immunoassay vs conventional multiplex assay for latent class analysis (LCA)-derived subphenotype classification
Outcome
Discrimination for LCA-derived subphenotypes (AUROC)
Methodological detailsmulticentre, bootstrapping internal validation
  • Multicentre
  • Bootstrapping internal validation

Main finding

As reported in the abstract

GroupValueAccuracy (threshold ≥ 0.5)Matched LCA-derived classifications
Parsimonious classifierAUROC 0.90 (95% CI 0.85–0.95)
De novo classifierAUROC 0.90 (95% CI 0.86–0.95)89.6%241 of 269

Value

Parsimonious classifierAUROC 0.90 (95% CI 0.85–0.95)
De novo classifierAUROC 0.90 (95% CI 0.86–0.95)

Accuracy (threshold ≥ 0.5)

Parsimonious classifier— not stated in the abstract
De novo classifier89.6%

Matched LCA-derived classifications

Parsimonious classifier— not stated in the abstract
De novo classifier241 of 269

Observational data: associations, not effects.

Further findings

Mortality by rapid immunoassay-based subphenotype

P = 0.009

Differential response to intensive insulin management by subphenotype

Differential response to intensive insulin management
  • Interaction p = 0.024

Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.

Original publication

Evaluation of a Rapid Immunoassay for Molecular Subphenotype Classification in Pediatric Acute Cardiorespiratory Failure. Crit Care Med. Published 7 September 2026. doi:10.1097/ccm.0000000000007339

Composed by AI from the published abstract and checked against it. How Briefs are made →

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