title: Traditional clinical risk assessment tools do not accurately predict coronary atherosclerotic plaque burden: a CT angiography study.
abstract: OBJECTIVE
  The objective of our study was to determine the degree to which Framingham risk estimates and the National Cholesterol Education Program (NCEP) Adult Treatment Panel III core risk categories correlate with total coronary atherosclerotic plaque burden (calcified and noncalcified) as estimated on coronary CT angiograms.
  
  
  METHODS
  Coronary CT angiography was performed in 1,653 patients (1,089 men, 564 women) without a history of coronary heart disease (mean age+/-SD: men, 51.6+/-9.7 years; women, 56.9+/-10.5 years). The most common reasons for the examination were hypercholesterolemia, family history, hypertension, smoking, and atypical chest pain. The coronary tree was divided into 16 segments; four different methods were used to quantify the amount of atherosclerotic plaque or the degree of stenosis in each segment, and segment scores were combined to give total scores. Framingham risk estimates and NCEP risk categories were calculated for each patient.
  
  
  RESULTS
  Correlation of plaque scores with the Framingham 10-year risk estimates were modest: Spearman's rho was 0.49-0.55. For all comparisons of NCEP risk categories to plaque score categories, the proportion of raw agreement, p(0), was less than 0.50. Cohen's kappa ranged from 0.18 to 0.20. Overall, 21% of the patients would have their perceived need for statins changed by using the coronary CTA plaque estimates in place of the NCEP core risk categories; 26% of the patients on statins had no detectable plaque.
  
  
  CONCLUSIONS
  Coronary risk stratification using a risk factor only-based scheme is a weak discriminator of the overall atherosclerotic plaque burden in individual patients. Patients with little or no plaque might be subjected to lifelong drug therapy, whereas many others with substantial plaque might be undertreated or not treated at all.
authors.affiliation: Department of Diagnostic Radiology, Yale University School of Medicine, 333 Cedar St., New Haven, CT 06520, USA. kevin.johnson@yale.edu
authors.forename: Kevin M
authors.initials: KM
authors.lastname: Johnson
authors.forename: David A
authors.initials: DA
authors.lastname: Dowe
authors.forename: James A
authors.initials: JA
authors.lastname: Brink
mesh_terms: D003237:Connecticut / Q000453:epidemiology; D017023:Coronary Angiography / Q000706:statistics & numerical data*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging* / Q000453:epidemiology*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data*