A clinical model to identify patients with high-risk coronary artery disease

JACC. Cardiovascular Imaging
Yelin YangBenjamin J W Chow

Abstract

This study sought to develop a clinical model that identifies patients with and without high-risk coronary artery disease (CAD). Although current clinical models help to estimate a patient's pre-test probability of obstructive CAD, they do not accurately identify those patients with and without high-risk coronary anatomy. Retrospective analysis of a prospectively collected multinational coronary computed tomographic angiography (CTA) cohort was conducted. High-risk anatomy was defined as left main diameter stenosis ≥50%, 3-vessel disease with diameter stenosis ≥70%, or 2-vessel disease involving the proximal left anterior descending artery. Using a cohort of 27,125, patients with a history of CAD, cardiac transplantation, and congenital heart disease were excluded. The model was derived from 24,251 consecutive patients in the derivation cohort and an additional 7,333 nonoverlapping patients in the validation cohort. The risk score consisted of 9 variables: age, sex, diabetes, hypertension, current smoking, hyperlipidemia, family history of CAD, history of peripheral vascular disease, and chest pain symptoms. Patients were divided into 3 risk categories: low (≤7 points), intermediate (8 to 17 points) and high (≥18 points). The m...Continue Reading

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Citations

Feb 5, 2019·Circulation. Cardiovascular Imaging·James J JangUNKNOWN PROMISE Investigators
Feb 5, 2019·Circulation. Cardiovascular Imaging·Ahmad Masri, Venkatesh L Murthy
Apr 10, 2020·Occupational and Environmental Medicine·Shurong HanGuang Jia
Nov 29, 2016·Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance·Antonildes N AssunçãoCarlos E Rochitte

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