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Prognostic Value of Multidetector Coronary Computed Tomographic Angiography for Prediction of All-Cause Mortality by James K. Min; Leslee J. Shaw; Richard B. Devereux; Peter M. Okin; Jonathan W. Weinsaft; Donald J. Russo; Nicholas J. Lippolis; Daniel S. Berman; Tracy Q. Callister is a Medicine article available to read on EtoBox.
What is Prognostic Value of Multidetector Coronary Computed Tomographic Angiography for Prediction of All-Cause Mortality about?
Objectives The purpose of this study was to examine the association of all-cause death with the coronary computed tomographic angiography (CCTA)-defined extent and severity of coronary artery disease (CAD). Background The prognostic value of identifying CAD by CCTA remains undefined. Methods We examined a single-center consecutive cohort of 1,127 patients ≥45 years old with chest symptoms. Stenosis by CCTA was scored as minimal (<30%), mild (30% to 49%), moderate (50% to 69%), or severe (≥70%) for each coronary artery. Plaque was assessed in 3 ways: 1) moderate or obstructive plaque; 2) CCTA score modified from Duke coronary artery score; and 3) simple clinical scores grading plaque extent and distribution. A 15.3 ± 3.9-month follow-up of all-cause death was assessed using Cox proportional hazards models adjusted for pretest CAD likelihood and risk factors. Deaths were verified by the Social Security Death Index. Results The CCTA predictors of death included proximal left anterior descending artery stenosis and number of vessels with ≥50% and ≥70% stenosis (all p < 0.0001). A modified Duke CAD index, an angiographic score integrating proximal CAD, plaque extent, and left main (LM)
Who reads Prognostic Value of Multidetector Coronary Computed Tomographic Angiography for Prediction of All-Cause Mortality?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- James K. Min; Leslee J. Shaw; Richard B. Devereux; Peter M. Okin; Jonathan W. Weinsaft; Donald J. Russo; Nicholas J. Lippolis; Daniel S. Berman; Tracy Q. Callister
- Publisher
- Elsevier BV
- Published
- 2007
- Language
- EN
- Field
- Medicine (Health Sciences)