title: Factors determining utility measured with the EQ-5D in patients with atrial fibrillation.
abstract: OBJECTIVE
  Although atrial fibrillation (AF) is associated with increased morbidity and mortality from heart failure, stroke and other thromboembolic complications, there are limited data on its health-related quality of life (HRQoL) effects. The objective was to analyse the factors determining utility in patients with all types of AF, both at baseline and after 1 year from inclusion, based on data from the Euro heart survey.
  
  
  METHODS
  HRQoL was measured with the EQ-5D questionnaire. At baseline, 5,050 patients had completed all five dimensions of the EQ-5D and 3,045 had done so after 1 year. We used Powell's censored least absolute deviations estimator for inference and ordinary least squares regressions for prediction.
  
  
  RESULTS
  Regardless of time point, utility and change in utility were significantly correlated with age, gender, AF type and symptoms. At baseline, utility was also determined by domestic status, regular exercise habits, diabetic disease and comorbidities. At follow-up, additional determinants included underlying heart disease and utility at baseline, and adverse events.
  
  
  CONCLUSIONS
  Utility in patients with AF and change over time are influenced by demographic and disease-specific variables. Our results can provide useful information on the effect of AF on QoL and input for economic evaluations.
authors.affiliation: Institute of Environmental Medicine, Karolinska Institute, Solna, Sweden. jenny.berg@ki.se
authors.forename: Jenny
authors.initials: J
authors.lastname: Berg
authors.forename: Peter
authors.initials: P
authors.lastname: Lindgren
authors.forename: Robby
authors.initials: R
authors.lastname: Nieuwlaat
authors.forename: Olivier
authors.initials: O
authors.lastname: Bouin
authors.forename: Harry
authors.initials: H
authors.lastname: Crijns
mesh_terms: D000367:Age Factors; D000368:Aged; D001281:Atrial Fibrillation / Q000191:economics / Q000523:psychology*; D015897:Comorbidity; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D008297:Male; D019057:Quality-Adjusted Life Years; D012737:Sex Factors; D018434:Sickness Impact Profile