title: Rationale and design of the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) Registry.
abstract: BACKGROUND
  Coronary computed tomographic angiography (CCTA) of 64-detector rows or greater represents a novel noninvasive anatomic method for evaluation of patients with suspected coronary artery disease (CAD). Early studies suggest a potential for prognostic risk assessment by CCTA findings but were limited by small patient cohorts or single centers. The CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) registry is a large, prospective, multinational dynamic observational study of patients undergoing CCTA. The primary aim of CONFIRM is to determine the prognostic value of CCTA findings for the prediction of future adverse CAD events.
  
  
  METHODS
  The CONFIRM registry currently represents 27,125 consecutive patients at 12 cluster sites in 6 countries in North America, Europe, and Asia. CONFIRM sites were chosen on the basis of adequate CCTA volume, site CCTA proficiency, and local demographic characteristics and medical facilities to ensure a broad-based sample of patients. Patients comprising the present CONFIRM cohort include those with suspected but without known CAD, with known CAD, or asymptomatic persons undergoing CAD evaluation. A data dictionary comprising a wide array of demographic, clinical, and CCTA findings was developed by the CONFIRM investigators and is uniformly used for all patients. Patients are followed up after CCTA performance to identify adverse CAD events, including death, myocardial infarction, unstable angina, target vessel revascularization, and CAD-related hospitalization.
  
  
  CONCLUSIONS
  From a number of countries worldwide, the information collected from the CONFIRM registry will add incremental and important insights into CCTA findings that confer prognostic value beyond demographic and clinical characteristics. The results of the CONFIRM registry will provide valuable information about the optimal methods for using CCTA findings.
authors.affiliation: Department of Medicine, Weill Cornell Medical College and the New York Presbyterian Hospital, 520 E 70th Street, Starr Pavilion, K415, New York, NY 10021, USA. jkm2001@med.cornell.edu
authors.forename: James K
authors.initials: JK
authors.lastname: Min
authors.forename: Allison
authors.initials: A
authors.lastname: Dunning
authors.forename: Fay Y
authors.initials: FY
authors.lastname: Lin
authors.forename: Stephan
authors.initials: S
authors.lastname: Achenbach
authors.forename: Mouaz H
authors.initials: MH
authors.lastname: Al-Mallah
authors.forename: Daniel S
authors.initials: DS
authors.lastname: Berman
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Budoff
authors.forename: Filippo
authors.initials: F
authors.lastname: Cademartiri
authors.forename: Tracy Q
authors.initials: TQ
authors.lastname: Callister
authors.forename: Hyuk-Jae
authors.initials: HJ
authors.lastname: Chang
authors.forename: Victor
authors.initials: V
authors.lastname: Cheng
authors.forename: Kavitha M
authors.initials: KM
authors.lastname: Chinnaiyan
authors.forename: Benjamin
authors.initials: B
authors.lastname: Chow
authors.forename: Augustin
authors.initials: A
authors.lastname: Delago
authors.forename: Martin
authors.initials: M
authors.lastname: Hadamitzky
authors.forename: Jorg
authors.initials: J
authors.lastname: Hausleiter
authors.forename: Ronald P
authors.initials: RP
authors.lastname: Karlsberg
authors.forename: Philipp
authors.initials: P
authors.lastname: Kaufmann
authors.forename: Erica
authors.initials: E
authors.lastname: Maffei
authors.forename: Khurram
authors.initials: K
authors.lastname: Nasir
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Pencina
authors.forename: Gilbert L
authors.initials: GL
authors.lastname: Raff
authors.forename: Leslee J
authors.initials: LJ
authors.lastname: Shaw
authors.forename: Todd C
authors.initials: TC
authors.lastname: Villines
mesh_terms: D000328:Adult; D001208:Asia; D017023:Coronary Angiography; D003327:Coronary Disease / Q000000981:diagnostic imaging*; D005060:Europe; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009656:North America; D018579:Patient Selection; D011379:Prognosis; D016016:Proportional Hazards Models; D011446:Prospective Studies; D012372:ROC Curve; D012042:Registries; D012044:Regression Analysis; D012107:Research Design; D018570:Risk Assessment; D014057:Tomography, X-Ray Computed