title: Mechanical circulatory support for advanced heart failure: effect of patient selection on outcome.
abstract: BACKGROUND
  Use of wearable left ventricular assist systems (LVAS) in the treatment of advanced heart failure has steadily increased since 1993, when these devices became generally available in Europe. The aim of this study was to identify in an unselected cohort of LVAS recipients those aspects of patient selection that have an impact on postimplant survival.
  
  
  RESULTS
  Data were obtained from the Novacor European Registry. Between 1993 and 1999, 464 patients were implanted with the Novacor LVAS. The majority had idiopathic (60%) or ischemic (27%) cardiomyopathy; the median age at implant was 49 (16 to 75) years. The median support time was 100 days (4.1 years maximum). Forty-nine percent of the recipients were discharged from the hospital on LVAS; they spent 75% of their time out of the hospital. For a subset of 366 recipients, for whom a complete set of data was available, multivariate analysis revealed that the following preimplant conditions were independent risk factors for survival after LVAS implantation: respiratory failure associated with septicemia (odds ratio 11.2), right heart failure (odds ratio 3.2), age >65 years (odds ratio 3.01), acute postcardiotomy (odds ratio 1.8), and acute infarction (odds ratio 1.7). For patients without any of these factors, the 1-year survival after LVAS implantation including the posttransplantation period was 60%; for the combined group with at least 1 risk factor, it was 24%.
  
  
  CONCLUSIONS
  Careful selection, specifically implantation before patients become moribund, and improvement of management may result in improved outcomes of LVAS treatment for advanced heart failure.
authors.affiliation: Cardiothoracic Surgery and Transplant Center, Westfalian Wilhelms University Münster, Münster, Germany. md785@columbia.edu
authors.forename: M C
authors.initials: MC
authors.lastname: Deng
authors.forename: M
authors.initials: M
authors.lastname: Loebe
authors.forename: A
authors.initials: A
authors.lastname: El-Banayosy
authors.forename: E
authors.initials: E
authors.lastname: Gronda
authors.forename: P G
authors.initials: PG
authors.lastname: Jansen
authors.forename: M
authors.initials: M
authors.lastname: Vigano
authors.forename: G M
authors.initials: GM
authors.lastname: Wieselthaler
authors.forename: B
authors.initials: B
authors.lastname: Reichart
authors.forename: E
authors.initials: E
authors.lastname: Vitali
authors.forename: A
authors.initials: A
authors.lastname: Pavie
authors.forename: T
authors.initials: T
authors.lastname: Mesana
authors.forename: D Y
authors.initials: DY
authors.lastname: Loisance
authors.forename: D R
authors.initials: DR
authors.lastname: Wheeldon
authors.forename: P M
authors.initials: PM
authors.lastname: Portner
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002303:Cardiac Output, Low / Q000401:mortality / Q000503:physiopathology* / Q000601:surgery*; D015331:Cohort Studies; D004867:Equipment Design; D005260:Female; D006353:Heart-Assist Devices; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D010045:Outpatients / Q000706:statistics & numerical data; D018579:Patient Selection; D011379:Prognosis; D012307:Risk Factors; D012720:Severity of Illness Index; D016019:Survival Analysis; D013997:Time Factors; D016896:Treatment Outcome