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Impact of Clinical and Lesion Features on Outcomes After Percutaneous Coronary Intervention in Bifurcation Lesions

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Author(s)
Jeehoon KangFrancesco BrunoTae-Min RheeLeonardo De LucaJung-Kyu HanOvidio de FilippoHan-Mo YangAlessio MattesiniKyung Woo ParkAlessandra TruffaHyo-Soo KimWanha WojciechHyeon-Cheol GwonSebastiano GiliWoo Jung ChunGerard HelftSeung-Ho HurBernardo CorteseSeung Hwan HanJavier EscanedYoung Bin SongAlaide ChieffoKi Hong ChoiGuglielmo GalloneJoon-Hyung DohGaetano De FerrariSoon-Jun HongGiorgio QuadriChang-Wook NamBon-Kwon KooFabrizio D'Ascenzo
Keimyung Author(s)
Hur, Seung HoNam, Chang Wook
Department
Dept. of Internal Medicine (내과학)
Journal Title
JACC Asia
Issued Date
2022
Volume
2
Issue
5
Keyword
AUC, area under the curveLASSO, least absolute shrinkage and selection operatorLM, left mainLOCO, lesion-oriented composite outcomeMACE, major adverse cardiac eventsMI, myocardial infarctionPCI, percutaneous coronary interventionROC, receiver-operating characteristicTLR, target lesion revascularizationbifurcationclinical featurefeature selectionlesion featurepercutaneous 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.
Keimyung Author(s)(Kor)
허승호
남창욱
Publisher
School of Medicine (의과대학)
Type
Article
ISSN
2772-3747
Source
https://www.sciencedirect.com/science/article/pii/S2772374722001594?via%3Dihub
DOI
10.1016/j.jacasi.2022.05.003
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/44559
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Internal Medicine (내과학)
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