Why the study?
Does a CMR-based risk score integrating quantitative microvascular obstruction and intramyocardial hemorrhage improve prognostic evaluation for MACE in STEMI patients compared to established risk scores?
Population
568 STEMI patients who underwent PCI within 12 h of symptom onset, median age 61 years, 82% male, from a…
Comparison
Prognostic evaluation using a novel CMR-based… vs Established risk scores: GRACE score, Eitel CMR…
Design
Cohort, CMR images were analyzed independently by two radiologists blinded to…
Follow-up
median 3.1 years
Key result
The combination of microvascular obstruction > 1.06% LV and intramyocardial hemorrhage > 0.47% LV strongly predicted MACE (HR 9.646), and a risk score integrating these metrics achieved an AUC of 0.853.
Authors
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MVO extent plus IMH may refine post-STEMI MACE risk stratification in observational data; leaves open prospective validation before guiding practice.
Cohort (n=568)
Yes
Does a CMR-based risk score integrating quantitative microvascular obstruction and intramyocardial hemorrhage improve prognostic evaluation for MACE in STEMI patients compared to established risk scores?
Hazard Ratio: 9.646 (95% CI 6.327–14.705)
Absolute Event Rate: 58.3% vs 8.8%
p-value: p=<0.001
Integrating quantitative CMR measurements of microvascular obstruction and intramyocardial hemorrhage into a clinical risk score significantly improves prognostic accuracy for MACE in STEMI patients following primary PCI.
Gu et al. (2026) conducted a cohort in ST-segment elevation myocardial infarction (STEMI) (n=568). Extensive microvascular injury (MVO > 1.06% LV and IMH > 0.47% LV) vs. Limited microvascular injury (MVO ≤ 1.06% LV and IMH ≤ 0.47% LV) was evaluated on Major adverse cardiovascular events (MACE), defined as heart failure, all-cause death, reinfarction, and revascularization (HR 9.646, 95% CI 6.327-14.705, p=<0.001). The combination of microvascular obstruction > 1.06% LV and intramyocardial hemorrhage > 0.47% LV strongly predicted MACE (HR 9.646), and a risk score integrating these metrics achieved an AUC of 0.853.
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