Background: Bifurcation percutaneous coronary intervention (PCI) is associated with higher risk of clinical events. Objectives: This study aimed to determine clinical and lesion features that predict adverse outcomes, and to evaluate the differential prognostic impact of these features in patients undergoing PCI for bifurcation lesions. Methods: We analyzed 5,537 patients from the BIFURCAT (comBined Insights From the Unified RAIN and COBIS bifurcAtion regisTries) registry. The primary outcome was major adverse cardiac events (MACE) at 2-year follow-up; secondary outcomes included hard endpoints (all-cause death, myocardial infarction) and lesion-oriented clinical outcomes (LOCO) (target-vessel myocardial infarction, target lesion revascularization). The least absolute shrinkage and selection operator (LASSO) model was used for feature selection. Results: During the 2-year follow-up period, MACE occurred in 492 patients (8.9%). The LASSO model identified 5 clinical features (old age, chronic renal disease, diabetes mellitus, current smoking, and left ventricular dysfunction) and 4 lesion features (left main disease, proximal main branch disease, side branch disease, and a small main branch diameter) as significant features that predict MACE. A combination of all 9 features improved the predictive value for MACE compared with clinical and lesion features (area under the receiver-operating characteristics curve: 0.657 vs 0.636 vs 0.581; P < 0.001). For secondary endpoints, the clinical features had a higher impact than lesion features on hard endpoints, whereas lesion features had a higher impact than clinical features on LOCO. Conclusions: In bifurcation PCI, 9 features were associated with MACE. Clinical features were predominant predictors for hard endpoints, and lesion features were predominant for predicting LOCO. Clinical and lesion features have distinct values, and both should be considered in bifurcation PCI.
Impact of Clinical and Lesion Features on Outcomes After Percutaneous Coronary Intervention in Bifurcation Lesions
de Filippo O.;Truffa A.;Wojciech W.;Gallone G.;De Ferrari G.;Quadri G.;D'Ascenzo F.
2022-01-01
Abstract
Background: Bifurcation percutaneous coronary intervention (PCI) is associated with higher risk of clinical events. Objectives: This study aimed to determine clinical and lesion features that predict adverse outcomes, and to evaluate the differential prognostic impact of these features in patients undergoing PCI for bifurcation lesions. Methods: We analyzed 5,537 patients from the BIFURCAT (comBined Insights From the Unified RAIN and COBIS bifurcAtion regisTries) registry. The primary outcome was major adverse cardiac events (MACE) at 2-year follow-up; secondary outcomes included hard endpoints (all-cause death, myocardial infarction) and lesion-oriented clinical outcomes (LOCO) (target-vessel myocardial infarction, target lesion revascularization). The least absolute shrinkage and selection operator (LASSO) model was used for feature selection. Results: During the 2-year follow-up period, MACE occurred in 492 patients (8.9%). The LASSO model identified 5 clinical features (old age, chronic renal disease, diabetes mellitus, current smoking, and left ventricular dysfunction) and 4 lesion features (left main disease, proximal main branch disease, side branch disease, and a small main branch diameter) as significant features that predict MACE. A combination of all 9 features improved the predictive value for MACE compared with clinical and lesion features (area under the receiver-operating characteristics curve: 0.657 vs 0.636 vs 0.581; P < 0.001). For secondary endpoints, the clinical features had a higher impact than lesion features on hard endpoints, whereas lesion features had a higher impact than clinical features on LOCO. Conclusions: In bifurcation PCI, 9 features were associated with MACE. Clinical features were predominant predictors for hard endpoints, and lesion features were predominant for predicting LOCO. Clinical and lesion features have distinct values, and both should be considered in bifurcation PCI.
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