Respiratory failure & ventilation

Development and External Validation of Models to Predict Persistent Hypoxemic Respiratory Failure for Clinical Trial Enrichment*

Crit Care MedPublished Prognostic model development and external validation study

Authors' conclusion

Parsimonious, interpretable models that predict persistent HRF may improve enrichment of trials testing HRF-targeted therapies

Study context

Population
Adults with acute hypoxemic respiratory failure (new invasive mechanical ventilation and hypoxemia on first day after ICU admission), medical and surgical ICUs at two US centresderivation n = 630, validation n = 511
Comparison
Least absolute shrinkage and selection operator (LASSO) clinical model and LASSO + IL-6 model vs PaO2/FiO2 alone
Outcome
Persistent HRF (ongoing invasive mechanical ventilation and hypoxemia on the third calendar day after admission); model discrimination (AUC)
Follow-up
Third calendar day after admission
Methodological detailsprospective cohorts, two-centre
  • Prospective cohorts
  • Two-centre

Performance

As reported in the abstract

Discrimination (AUC) in validation
Test or modelAUC95% CI
LASSO0.680.64-0.73
LASSO + IL-60.710.66-0.76
PaO2/FiO20.640.59-0.69

AUC

LASSO0.68
LASSO + IL-60.71
PaO2/FiO20.64

95% CI

LASSO0.64-0.73
LASSO + IL-60.66-0.76
PaO2/FiO20.59-0.69

Further findings

Incidence of persistent hypoxemic respiratory failure (HRF)

Derivation set
49%
Validation set
69%

Calibration

Both models underestimated risk in lower risk deciles but showed better calibration at relevant risk thresholds

Practical utility (decision curve and enrichment analysis)

LASSO and LASSO + IL-6 showed greater net benefit and greater sample size savings vs PaO2/FiO2
Added utility of LASSO + IL-6 over LASSO modest

Original publication

Development and External Validation of Models to Predict Persistent Hypoxemic Respiratory Failure for Clinical Trial Enrichment*. Crit Care Med. Published 10 January 2024. doi:10.1097/ccm.0000000000006181

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