Respiratory failure & ventilation

Best clinical model predicting extubation failure: a diagnostic accuracy post hoc analysis

Intensive Care MedPublished Diagnostic accuracy study

Authors' conclusion

Based on these results, the 3-factors model reported a very low diagnostic accuracy, and the 4 or 11-factors models showed similar low accuracy. No improvement was observed after adjusting for other aspects of weaning.

Study context

Population
Patients at all risk of extubation failure included in five multicentre randomised trials
Participants
2,341 patients · 5 RCTs
Comparison
3-factors model vs 4-factors model vs 11-factors model
Outcome
Diagnostic accuracy (Youden and Kappa indexes) for all-cause reintubation
Follow-up
7 days
Methodological detailspost hoc analysis of five multicentre RCTs
  • Post hoc analysis of five multicentre RCTs

Performance

As reported in the abstract

All-cause reintubation at 7 days, crude models
Test or modelYouden indexKappa index
3-factors model0.080.04
4-factors model0.120.06
11-factors model0.160.07

Youden index

3-factors model0.08
4-factors model0.12
11-factors model0.16

Kappa index

3-factors model0.04
4-factors model0.06
11-factors model0.07

Further findings

Spontaneous breathing trial (SBT)-adjusted models (Youden/Kappa index) · 7 days

All adjusted models had low diagnostic capability (3-, 4- and 11-factors models respectively)
0.08/0.03, 0.07/0.03, and 0.06/0.02

Aggressive SBT strategies (pressure support ≥ 7 cm H2O with or without PEEP) and extubation failure risk

Associated with extubation failure risk
P < 0.001

Original publication

Best clinical model predicting extubation failure: a diagnostic accuracy post hoc analysis. Intensive Care Med. Published 7 January 2025. doi:10.1007/s00134-024-07758-0

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

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.