title: Framingham risk score and severity of coronary artery disease.
abstract: OBJECTIVE
  Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Easy-to-perform and reliable parameters are needed to predict the presence and severity of CAD and to implement efficient diagnostic and therapeutic modalities. We aimed to examine whether the Framingham risk scoring system can be used for this purpose.
  
  
  METHODS
  A total of 222 patients (96 women, 126 men; mean age, 59.1 ± 11.9 years) who underwent coronary angiography were enrolled in the study. Presence of > %50 stenosis in a coronary artery was assessed as critical CAD. The Framingham risk score (FRS) was calculated for each patient. CAD severity was assessed by the Gensini score. The relationship between the FRS and the Gensini score was analyzed by correlation and regression analyses.
  
  
  RESULTS
  The mean Gensini score was 18.9 ± 25.8, the median Gensini score was 7.5 (0-172), the mean FRS was 7.7 ± 4.2, and the median FRS was 7 (0-21). Correlation analysis revealed a significant relationship between FRS and Gensini score (r = 0.432, p < 0.0001). This relationship was confirmed by linear regression analysis (β = 0.341, p < 0.0001). A cut-off level of 7.5 for FRS predicted severe CAD with a sensitivity of 68 % and a specificity of 73.6 % (ROC area under curve: 0.776, 95 % CI: 0.706-0.845, PPV: 78.1 %, NPV: 62.3 %, p < 0.0001).
  
  
  CONCLUSIONS
  Our work suggests that the FRS system is a simple and feasible method that can be used for prediction of CAD severity. As the sample size was small in our study, further large-scale studies are needed on this subject to draw solid conclusions.
authors.affiliation: Department of Cardiology, Faculty of Medicine, Bulent Ecevit University, 67600, Kozlu/Zonguldak, Turkey, sayinmr@mynet.com.
authors.forename: M R
authors.initials: MR
authors.lastname: Sayin
authors.forename: M A
authors.initials: MA
authors.lastname: Cetiner
authors.forename: T
authors.initials: T
authors.lastname: Karabag
authors.forename: I
authors.initials: I
authors.lastname: Akpinar
authors.forename: E
authors.initials: E
authors.lastname: Sayin
authors.forename: M A
authors.initials: MA
authors.lastname: Kurcer
authors.forename: S M
authors.initials: SM
authors.lastname: Dogan
authors.forename: M
authors.initials: M
authors.lastname: Aydin
mesh_terms: D000328:Adult; D000368:Aged; D002423:Cause of Death; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000175:diagnosis* / Q000401:mortality; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D012044:Regression Analysis; D018570:Risk Assessment