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Prediction of Bailout Mechanical Circulatory Support Use for Hemodynamic Collapse During PCI: The ORACLE Score.

Circulation. Cardiovascular interventions · 2026-11-03

Enrico Poletti, Milan Seth, Primero Ng et al.

Investigators developed ORACLE to predict bailout mechanical circulatory support for haemodynamic collapse during PCI, using 6,931 patients and excluding salvage procedures and pre-existing or prophylactic support. Bailout support occurred in 1.4% of the derivation cohort; external validation included 214,877 PCIs. The full model’s external-validation AUC was 0.761 (95% confidence interval 0.753–0.770), while the simplified score’s AUC was 0.718. Observed bailout support rates ranged from 0.4% in the low-risk category to 8.7% in the high-risk category, with similar findings reported in external validation.

Clinical bottom line

ORACLE provides externally validated risk stratification for bailout MCS use during PCI. These findings do not establish that score-guided planning improves patient outcomes.

Study limitation: The endpoint was bailout MCS use, not survival or benefit from score-guided management.

Read the original on PubMed

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