title: Lifetime gain related to cost of repair of ruptured abdominal aortic aneurysm in octogenarians.
abstract: OBJECTIVE
  To report cost related to gained life years after repair of ruptured abdominal aortic aneurysms in patients aged 80 or older.
  
  
  METHODS
  A retrospective study based on prospectively registered data.
  
  
  METHODS
  Fifty-three patients aged 80 or older were operated on for ruptured abdominal aortic aneurysm over a 20-year period from 1983 to 2002. Thirty-one (58%) patients had systolic BT <80 mmHg. Operative mortality (<30 days) and long-term survival were studied. The number of life-years gained from the operations was estimated. Based on diagnose related group (DRG) values, the cost of each gained life-year was calculated.
  
  
  RESULTS
  The operative mortality was 47%. Long-term survival of those patients who survived the operation was similar to that of an age and sex matched population. The 53 operations resulted in 145 gained life-years, which leaves a mean survival of 2.7 years of all the patients and 5.2 years of those who survived the operation. The estimated cost per gained life year was euro6817.
  
  
  CONCLUSIONS
  The operative mortality of ruptured abdominal aortic aneurysm remains high. The long-term survival of patients who survive the operation is acceptable. The price of each gained life-year is low, as compared to other established treatment modalities. Improved results with endovascular treatment may even decrease the cost per gained life year.
authors.affiliation: Department of Surgery, Haukeland University Hospital, 5021 Bergen, Norway.
authors.forename: S
authors.initials: S
authors.lastname: Aune
authors.forename: E
authors.initials: E
authors.lastname: Laxdal
authors.forename: G
authors.initials: G
authors.lastname: Pedersen
authors.forename: E
authors.initials: E
authors.lastname: Dregelid
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001019:Aortic Rupture / Q000191:economics* / Q000401:mortality / Q000601:surgery*; D003362:Cost-Benefit Analysis; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D009664:Norway; D019057:Quality-Adjusted Life Years; D016019:Survival Analysis