Impact of Clinical and Lesion Features on Outcomes After Percutaneous Coronary Intervention in Bifurcation Lesions
- Author(s)
- Jeehoon Kang; Francesco Bruno; Tae-Min Rhee; Leonardo De Luca; Jung-Kyu Han; Ovidio de Filippo; Han-Mo Yang; Alessio Mattesini; Kyung Woo Park; Alessandra Truffa; Hyo-Soo Kim; Wanha Wojciech; Hyeon-Cheol Gwon; Sebastiano Gili; Woo Jung Chun; Gerard Helft; Seung-Ho Hur; Bernardo Cortese; Seung Hwan Han; Javier Escaned; Young Bin Song; Alaide Chieffo; Ki Hong Choi; Guglielmo Gallone; Joon-Hyung Doh; Gaetano De Ferrari; Soon-Jun Hong; Giorgio Quadri; Chang-Wook Nam; Bon-Kwon Koo; Fabrizio D'Ascenzo
- Keimyung Author(s)
- Hur, Seung Ho; Nam, Chang Wook
- Department
- Dept. of Internal Medicine (내과학)
- Journal Title
- JACC Asia
- Issued Date
- 2022
- Volume
- 2
- Issue
- 5
- Keyword
- AUC, area under the curve; LASSO, least absolute shrinkage and selection operator; LM, left main; LOCO, lesion-oriented composite outcome; MACE, major adverse cardiac events; MI, myocardial infarction; PCI, percutaneous coronary intervention; ROC, receiver-operating characteristic; TLR, target lesion revascularization; bifurcation; clinical feature; feature selection; lesion feature; percutaneous coronary intervention
- 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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