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

@article{Yang2015ACM,
  title={A clinical model to identify patients with high-risk coronary artery disease.},
  author={Yelin Yang and Li Chen and Yeung Yam and Stephan Achenbach and Mouaz Al-Mallah and Daniel S Berman and Matthew J. Budoff and Filippo Cademartiri and Tracy Q. Callister and Hyuk Jae Chang and V. Cheng and Kavitha M. Chinnaiyan and Ricardo Cury and Augustin J Delago and Allison Dunning and Gudrun Maria Feuchtner and Martin Hadamitzky and J{\"o}rg Hausleiter and Ronald P. Karlsberg and Philipp A. Kaufmann and Yong-Jin Kim and Jonathan Avrom Leipsic and Troy LaBounty and Fay Y Lin and Erica C Maffei and Gilbert L. Raff and Leslee J. Shaw and Todd C Villines and James K. Min and Benjamin J W Chow},
  journal={JACC. Cardiovascular imaging},
  year={2015},
  volume={8 4},
  pages={427-434}
}
OBJECTIVES This study sought to develop a clinical model that identifies patients with and without high-risk coronary artery disease (CAD). BACKGROUND 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. METHODS Retrospective analysis of a prospectively collected multinational coronary computed tomographic angiography (CTA) cohort was conducted. High… CONTINUE READING

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