title: Elective abdominal aortic aneurysm repair: does the aneurysm diameter influence long-term survival?
abstract: OBJECTIVE
  The aim of this study was to investigate whether initial abdominal aortic aneurysm (AAA) diameter influences long-term survival after elective repair.
  
  
  METHODS
  Retrospective analysis of database.
  
  
  METHODS
  Between March 1995 and December 2006, a consecutive series of 895 patients underwent elective treatment of an AAA either by open surgical or endovascular repair. An AAA diameter of 5.5cm was chosen as threshold to distinguish between small and large aneurysms, according to the definition given by the UK small aneurysm trial. Patient characteristics and distribution of basic risk factors were assessed. Survival estimates (Kaplan-Meier) and Cox proportional hazards regression results are reported.
  
  
  RESULTS
  Patients with small aneurysms were more likely to survive the first 6 years after AAA repair, even after adjustment for treatment modality and baseline risk factors. After adjustment for age and sex aneurysms with smaller diameter were related to a lower risk of death (p<0.0016).
  
  
  CONCLUSIONS
  Patients with small aneurysms (< or =5.5cm) have an improved long-term survival than patients with larger aneurysms.
authors: Department of Vascular Surgery, Medical University of Vienna, Austria.
authors: M
authors: M
authors: Sahal
authors: A M
authors: AM
authors: Prusa
authors: A
authors: A
authors: Wibmer
authors: K S
authors: KS
authors: Wolff
authors: J
authors: J
authors: Lammer
authors: P
authors: P
authors: Polterauer
authors: G
authors: G
authors: Kretschmer
authors: H
authors: H
authors: Teufelsbauer
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D017544:Aortic Aneurysm, Abdominal / Q000401:mortality* / Q000473:pathology*; D019917:Blood Vessel Prosthesis Implantation; D017558:Elective Surgical Procedures; D005260:Female; D006801:Humans; D053208:Kaplan-Meier Estimate; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016016:Proportional Hazards Models; D012307:Risk Factors; D016019:Survival Analysis