Key result
Provided text contains only editorial board information and no clinical study data.
Why the study?
Managing thrombotic and bleeding risks post-PCI is challenging in patients with both high bleeding risk and high thrombotic risk, requiring better risk characterization to support personalized DAPT management.
Does the ARC trade-off model predict net adverse clinical events in dual-risk patients undergoing percutaneous coronary intervention?
Population
3,051 PCI patients screened, identifying a 12.4% dual-risk subset
Comparison
ARC trade-off model groups DRBR<TR vs DRBR=TR vs DRBR>TR
Design
Cohort study
Follow-up
18 months
Authors
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DRBR>TR stratification was associated with higher NACE after PCI; leaves open whether the ARC trade-off model should guide personalized DAPT.
Does the ARC trade-off model predict net adverse clinical events in dual-risk patients undergoing percutaneous coronary intervention?
The ARC trade-off model successfully stratifies dual-risk PCI patients, identifying those at highest risk for adverse events who may benefit from personalized dual antiplatelet therapy strategies.
Mauro et al. (2026) studied Dual-Risk Patients Undergoing Percutaneous Coronary Intervention. The provided text contains only the journal's editorial board information and no clinical study data.
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