title: In-vivo-validation of a cardiovascular risk prediction tool: the arriba-pro study.
abstract: BACKGROUND
  Calculation of individual risk is the cornerstone of effective cardiovascular prevention. arriba is a software to estimate the individual risk to suffer a cardiovascular event in 10 years. Prognosis and the absolute effects of pharmacological and lifestyle interventions help the patient make a well-informed decision. The risk calculation algorithm currently used in arriba is based on the Framingham risk algorithm calibrated to the German setting. The objective of this study is to evaluate and adapt the algorithm for the target population in primary care in Germany.
  
  
  METHODS
  arriba-pro will be conducted within the primary care scheme provided by a large health care insurer in Baden-Württemberg, Germany. Patients who are counseled with arriba by their general practitioners (GPs) will be included in the arriba-pro cohort. Exposure data from the consultation with arriba such as demographic data and risk factors will be recorded automatically by the practice software and transferred to the study centre. Information on relevant prescription drugs (effect modifiers) and cardiovascular events (outcomes) will be derived from administrative sources.
  
  
  CONCLUSIONS
  The study is unique in simulating a therapy naïve cohort, matching exactly research and application setting, using a robust administrative data base, and, finally, including patients with known cardiovascular disease who have been excluded from previous studies.
  
  
  BACKGROUND
  The study is registered with Deutsches Register Klinischer Studien (DRKS00004633).
authors: Institute of General Practice, Rostock University Medical Center, 18055, Rostock, Germany. annette.diener@med.uni-rostock.de
authors: Annette
authors: A
authors: Diener
authors: Salomé
authors: S
authors: Celemín-Heinrich
authors: Karl
authors: K
authors: Wegscheider
authors: Kai
authors: K
authors: Kolpatzik
authors: Katrin
authors: K
authors: Tomaschko
authors: Attila
authors: A
authors: Altiner
authors: Norbert
authors: N
authors: Donner-Banzhoff
authors: Jörg
authors: J
authors: Haasenritter
mesh_terms: D000465:Algorithms; D002318:Cardiovascular Diseases / Q000209:etiology / Q000517:prevention & control*; D005858:Germany; D006801:Humans; D011320:Primary Health Care; D011322:Primary Prevention; D012107:Research Design; D018570:Risk Assessment; D012984:Software