title: Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality.
abstract: OBJECTIVE
  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 > or =45 years old with chest symptoms. Stenosis by CCTA was scored as minimal (<30%), mild (30% to 49%), moderate (50% to 69%), or severe (> or =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 > or =50% and > or =70% stenosis (all p < 0.0001). A modified Duke CAD index, an angiographic score integrating proximal CAD, plaque extent, and left main (LM) disease, improved risk stratification (p < 0.0001). Patients with <50% stenosis had the highest survival at 99.7%. Survival worsened with higher-risk Duke scores, ranging from 96% survival for 1 stenosis > or =70% or 2 stenoses > or =50% (p = 0.013) to 85% survival for > or =50% LM artery stenosis (p < 0.0001). Clinical scores measuring plaque burden and distribution predicted 5% to 6% higher absolute death rate (6.6% vs. 1.6% and 8.4% vs. 2.5%; p = 0.05 for both).
  
  
  CONCLUSIONS
  In patients with chest pain, CCTA identifies increased risk for all-cause death. Importantly, a negative CCTA portends an extremely low risk for death.
authors.affiliation: Greenberg Division of Cardiology, Weill Medical College of Cornell University, New York Presbyterian Hospital, New York, New York 10021, USA. jkm2001@med.cornell.edu
authors.forename: James K
authors.initials: JK
authors.lastname: Min
authors.forename: Leslee J
authors.initials: LJ
authors.lastname: Shaw
authors.forename: Richard B
authors.initials: RB
authors.lastname: Devereux
authors.forename: Peter M
authors.initials: PM
authors.lastname: Okin
authors.forename: Jonathan W
authors.initials: JW
authors.lastname: Weinsaft
authors.forename: Donald J
authors.initials: DJ
authors.lastname: Russo
authors.forename: Nicholas J
authors.initials: NJ
authors.lastname: Lippolis
authors.forename: Daniel S
authors.initials: DS
authors.lastname: Berman
authors.forename: Tracy Q
authors.initials: TQ
authors.lastname: Callister
mesh_terms: D000368:Aged; D002423:Cause of Death; D015331:Cohort Studies; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging* / Q000401:mortality*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011336:Probability; D011379:Prognosis; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D016019:Survival Analysis; D014057:Tomography, X-Ray Computed / Q000379:methods*