CBS 2019
CBSMD教育中心
English

科学研究

科研文章

荐读文献

Diagnostic accuracy of fractional flow reserve from anatomic CT angiography Exercise unmasks distinct pathophysiologic features in heart failure with preserved ejection fraction and pulmonary vascular disease Low shear stress induces endothelial reactive oxygen species via the AT1R/eNOS/NO pathway Fractional Flow Reserve–Guided PCI for Stable Coronary Artery Disease Optical coherence tomography versus intravascular ultrasound to evaluate coronary artery disease and percutaneous coronary intervention Coronary Atherosclerosis T1-Weighed Characterization With Integrated Anatomical Reference: Comparison With High-Risk Plaque Features Detected by Invasive Coronary Imaging Lipid-rich plaque and myocardial perfusion after successful stenting in patients with non-ST-segment elevation acute coronary syndrome: an optical coherence tomography study Difference in basic concept of coronary bifurcation intervention between Korea and Japan. Insight from questionnaire in experts of Korean and Japanese bifurcation clubs Individual Lesion-Level Meta-Analysis Comparing Various Doses of Intracoronary Bolus Injection of Adenosine With Intravenous Administration of Adenosine for Fractional Flow Reserve Assessment Impact of an optical coherence tomography guided approach in acute coronary syndromes: A propensity matched analysis from the international FORMIDABLE-CARDIOGROUP IV and USZ registry
|<<... 147 148 149 150 151 152 153 ...>>|

Original Research30 Jul 2018 [Epub ahead]

JOURNAL：Circulation. Article Link

The Astronaut Cardiovascular Health and Risk Modification (Astro-CHARM) Coronary Calcium Atherosclerotic Cardiovascular Disease Risk Calculator

A Khera , MJ Budoff , CJ O’Donnell et al. Keywords: coronary artery calcium; risk prediction

ABSTRACT

BACKGROUND - Coronary artery calcium (CAC) is a powerful novel risk indicator for atherosclerotic cardiovascular disease (ASCVD). Currently, there is no available ASCVD risk prediction tool that integrates traditional risk factors and CAC.


METHODS - To develop a CAC ASCVD risk tool for younger individuals in the general population, subjects aged 40-65 without prior CVD from three population-based cohorts were included. Cox proportional hazards models were developed incorporating age, sex, systolic blood pressure, total and HDL cholesterol, smoking, diabetes, hypertension treatment, family history of MI, high-sensitivity CRP (hs-CRP), and CAC scores (Astro-CHARM model) as dependent variables and ASCVD (non-fatal/fatal MI or stroke) as the outcome. Model performance was assessed internally, and validated externally in a fourth cohort.

RESULTS - The derivation study comprised 7382 individuals with mean age 51 years, 45% female, and 55% non-white. The median CAC was 0 (25-75th [0,9]) and 304 ASCVD events occurred in median 10.9 years of follow-up. The c-statistic was 0.784 for the risk factor model, and 0.817 for Astro-CHARM (p<0.0001). Compared with the risk factor model, the Astro-CHARM model resulted in integrated discrimination improvement (IDI=0.0252) as well as net reclassification improvement (NRI=0.121, p<0.0001). The Astro-CHARM model demonstrated good discrimination (c=0.78) and calibration (Nam-D’Agostino χ2:13.2, p=0.16) in the validation cohort (n=2057; 55 events). A mobile application and web-based tool were developed to facilitate clinical application of this tool ( www.AstroCHARM.org).

CONCLUSIONS - The Astro-CHARM tool is the first integrated ASCVD risk calculator to incorporate risk factors, including hs-CRP and family history, and CAC data. It improves risk prediction compared with traditional risk factor equations and could be useful in risk-based decision making for CV disease prevention in the middle-aged general population.
>CBS CBS 2019

> CBS 2019

> CBS 2019 注册

> CBS 2019 会议日程

> CBS 2019 学术征集

> CBS 2019 热点

 CBSMD

> CBSMD 网站注册

> 教育中心

> 荐读文献

> Top 10 阅读文献

> 文献导读
CBS 2019 CBS 2019 主席团 教育中心 科研动态
Copyright ⓒ CBS MD Nanjing China. All rights reserved. 京ICP备16025898号-11
联系我们| Top