title: Influence of healthy candidate bias in assessing clinical effectiveness for implantable cardioverter-defibrillators: cohort study of older patients with heart failure.
abstract: OBJECTIVE
  To assess the potential contribution of unmeasured general health status to patient selection in assessments of the clinical effectiveness of implantable cardioverter-defibrillator (ICD) therapy.
  
  
  METHODS
  Retrospective cohort study.
  
  
  METHODS
  Linked data from an ICD registry, heart failure registry, and Medicare claims data for ICDs implanted in 2005 through 2009.
  
  
  METHODS
  29,426 patients admitted to hospital with heart failure aged 66 years or older and eligible for ICD therapy for primary prevention.
  
  
  METHODS
  Non-traumatic hip fracture, admission to a skilled nursing facility, and 30 day mortality-outcomes unlikely to be improved by ICD therapy.
  
  
  RESULTS
  Compared with 17,853 patients without ICD therapy, 11,573 patients with ICD therapy were younger and had lower ejection fraction and more cardiac admissions to hospital but fewer non-cardiac admissions to hospital and comorbid conditions. Patients with ICD therapy had greater freedom from unrelated events after adjusting for age and sex: hip fracture (hazard ratio 0.77, 95% confidence interval 0.64 to 0.92), skilled nursing facility admission (0.53, 0.50 to 0.55), and 30 day mortality (0.12, 0.10 to 0.15).
  
  
  CONCLUSIONS
  Lower risks of measured outcomes likely reflect unmeasured differences in comorbidity and frailty. The findings highlight potential pitfalls of observational comparative effectiveness research and support physician consideration of general health status in selecting patients for ICD therapy.
authors.affiliation: Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
authors.forename: Soko
authors.initials: S
authors.lastname: Setoguchi
authors.forename: Lynne
authors.initials: L
authors.lastname: Warner Stevenson
authors.forename: Garrick C
authors.initials: GC
authors.lastname: Stewart
authors.forename: Deepak L
authors.initials: DL
authors.lastname: Bhatt
authors.forename: Andrew E
authors.initials: AE
authors.lastname: Epstein
authors.forename: Manisha
authors.initials: M
authors.lastname: Desai
authors.forename: Lauren A
authors.initials: LA
authors.lastname: Williams
authors.forename: Chih-Ying
authors.initials: CY
authors.lastname: Chen
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D015331:Cohort Studies; D015897:Comorbidity; D016757:Death, Sudden, Cardiac / Q000517:prevention & control*; D017147:Defibrillators, Implantable; D005260:Female; D006304:Health Status; D006333:Heart Failure / Q000453:epidemiology / Q000401:mortality / Q000628:therapy*; D006620:Hip Fractures / Q000453:epidemiology; D006801:Humans; D008297:Male; D006278:Medicare; D017063:Outcome Assessment, Health Care / Q000706:statistics & numerical data*; D018579:Patient Selection; D016016:Proportional Hazards Models; D012042:Registries; D012189:Retrospective Studies; D015983:Selection Bias; D012866:Skilled Nursing Facilities / Q000706:statistics & numerical data; D014481:United States