title: CHA2DS2-VASc-HSF score - New predictor of severity of coronary artery disease in 2976 patients.
abstract: BACKGROUND
  CHADS2 and CHA2DS2-VASc scores have been used for assessing prognostic risk of thromboembolism in non valvular atrial fibrillation patients. They include similar risk factors for the development of CAD To increase the likelihood of determining CAD severity, the CHA2DS2-VASc-HS and CHA2DS2-VASc-HSF score comprising of hyperlipidemia, smoking and family history respectively in addition to the components of the CHA2DS2-VASc score and male instead of female gender. The aim was to investigate whether these risk scores can be used to predict CAD severity.
  
  
  RESULTS
  A total of 2976 consecutive patients who underwent coronary angiography were enrolled in the study. Presence of >50% stenosis in a coronary artery was assessed as significant CAD. Of the patients,804 had normal coronary angiograms and served as group 1. The remaining 2172 patients with coronary stenosis were further classified into 2 groups according to CAD with stenosis of <50% or >50%: 834 patients with mild CAD as group 2 and 1338 patients with severe CAD as group 3. The scores were significantly different among the 3 groups. All the four scores correlated significantly with the number of diseased and the Gensini score.
  
  
  CONCLUSIONS
  CHADS2, CHA2DS2-VASc, and especially CHA2DS2-VASc-HS and CHA2DS2-VASc-HSF scores could be considered predictive of the risk of severe CAD with CHA2DS2-VASc-HSF the best scoring scheme to predict CAD severity. The risk scoring systems may play an important role as predictive models because they are simple and can be easily applied by physicians without any additional costs in routine practice.
authors.affiliation: Department of Cardiology, KLE's Dr. Prabhakar Kore Hospital and MRC, Belgaum, Karnataka, India. Electronic address: ranjan_modi@hotmail.com.
authors.forename: Ranjan
authors.initials: R
authors.lastname: Modi
authors.affiliation: Department of Cardiology, KLE's Dr. Prabhakar Kore Hospital and MRC, Belgaum, Karnataka, India.
authors.forename: S V
authors.initials: SV
authors.lastname: Patted
authors.affiliation: Department of Cardiology, KLE's Dr. Prabhakar Kore Hospital and MRC, Belgaum, Karnataka, India.
authors.forename: P C
authors.initials: PC
authors.lastname: Halkati
authors.affiliation: Department of Cardiology, KLE's Dr. Prabhakar Kore Hospital and MRC, Belgaum, Karnataka, India.
authors.forename: Sanjay
authors.initials: S
authors.lastname: Porwal
authors.affiliation: Department of Cardiology, KLE's Dr. Prabhakar Kore Hospital and MRC, Belgaum, Karnataka, India.
authors.forename: Sameer
authors.initials: S
authors.lastname: Ambar
authors.affiliation: Department of Cardiology, KLE's Dr. Prabhakar Kore Hospital and MRC, Belgaum, Karnataka, India.
authors.forename: Prasad
authors.initials: P
authors.lastname: Mr
authors.affiliation: Department of Cardiology, KLE's Dr. Prabhakar Kore Hospital and MRC, Belgaum, Karnataka, India.
authors.forename: Vijay
authors.initials: V
authors.lastname: Metgudmath
authors.affiliation: Department of Cardiology, KLE's Dr. Prabhakar Kore Hospital and MRC, Belgaum, Karnataka, India.
authors.forename: Ameet
authors.initials: A
authors.lastname: Sattur
mesh_terms: D000367:Age Factors; D000368:Aged; D001281:Atrial Fibrillation / Q000209:etiology / Q000503:physiopathology*; D003324:Coronary Artery Disease / Q000150:complications / Q000175:diagnosis*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015588:Observer Variation; D011237:Predictive Value of Tests; D011379:Prognosis; D011446:Prospective Studies; D012372:ROC Curve; D018570:Risk Assessment; D012720:Severity of Illness Index; D012737:Sex Factors; D020521:Stroke / Q000209:etiology / Q000503:physiopathology*; D016019:Survival Analysis; D013923:Thromboembolism / Q000209:etiology / Q000503:physiopathology*
keywords: CHA2DS2-VASc-HSF SCORE; Coronary angiography; Coronary heart disease; Gensini score