CBS 2019
CBSMD教育中心
English

科学研究

科研文章

荐读文献

2020 AHA/ACC Key Data Elements and Definitions for Coronary Revascularization A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards (Writing Committee to Develop Clinical Data Standards for Coronary Revascularization) In-Hospital Costs and Costs of Complications of Chronic Total Occlusion Angioplasty Insights From the OPEN-CTO Registry Improving the Design of Future PCI Trials for Stable Coronary Artery Disease: JACC State-of-the-Art Review Drug-eluting balloons in coronary interventions: the quiet revolution? Mortality Differences Associated With Treatment Responses in CANTOS and FOURIER: Insights and Implications Left Ventricular Assist Devices: Synergistic Model Between Technology and Medicine Diagnostic performance of stress perfusion cardiac magnetic resonance for the detection of coronary artery disease: A systematic review and meta-analysis Catheterization Laboratory Considerations During the Coronavirus (COVID-19) Pandemic: From the ACC’s Interventional Council and SCAI Ejection Fraction Pros and Cons: JACC State-of-the-Art Review Classification of Deaths in Cardiovascular Outcomes Trials Known Unknowns and Unknown Unknowns

Original ResearchVolume 74, Issue 16, October 2019

JOURNAL:JACC Article Link

Individualizing Revascularization Strategy for Diabetic Patients With Multivessel Coronary Disease

M Qintar, KH Humphries, JE Park et al.

ABSTRACT


BACKGROUND - In patients with diabetes and multivessel coronary artery disease (CAD), the FREEDOM (Future Revascularization Evaluation in Patients with Diabetes Mellitus: Optimal Management of Multivessel Disease) trial demonstrated that, on average, coronary artery bypass grafting (CABG) was superior to percutaneous coronary intervention (PCI) for major acute cardiovascular events (MACE) and angina reduction. Nonetheless, multivessel PCI remains a common revascularization strategy in the real world.

 

OBJECTIVES - To translate the results of FREEDOM to individual patients in clinical practice, risk models of the heterogeneity of treatment benefit were built.

 

METHODS - Using patient-level data from 1,900 FREEDOM patients, the authors developed models to predict 5-year MACE (all-cause mortality, nonfatal myocardial infarction, and nonfatal stroke) and 1-year angina after CABG and PCI using baseline covariates and treatment interactions. Parsimonious models were created to support clinical use. The models were internally validated using bootstrap resampling, and the MACE model was externally validated in a large real-world registry.

 

RESULTS - The 5-year MACE occurred in 346 (18.2%) patients, and 310 (16.3%) had angina at 1 year. The MACE model included 8 variables and treatment interactions with smoking status (c = 0.67). External validation in stable CAD (c = 0.65) and ACS (c = 0.68) demonstrated comparable performance. The 6-variable angina model included a treatment interaction with SYNTAX score (c = 0.67). PCI was never superior to CABG, and CABG was superior to PCI for MACE in 54.5% of patients and in 100% of patients with history of smoking.

 

CONCLUSIONS - To help disseminate the results of FREEDOM, the authors created a personalized risk prediction tool for patients with diabetes and multivessel CAD that could be used in shared decision-making for CABG versus PCI by estimating each patients personal outcomes with both treatments.