title: Improved survival after introduction of an emergency endovascular therapy protocol for ruptured abdominal aortic aneurysms.
abstract: BACKGROUND
  The study was conducted to demonstrate improved survival (30-day mortality) after the introduction of an emergency endovascular therapy protocol for ruptured abdominal aortic aneurysms (rAAA). Numerous authors have successfully demonstrated reduced mortality in patients with rAAA using endovascular techniques. Comparison of endovascular aneurysm repair (EVAR) with open repair for rAAA may be misleading, however, because EVAR cannot be performed on all patients, and selection bias may explain the superior performance of any given surgical or endovascular strategy. We developed a model to predict mortality in patients before the introduction of EVAR (preprotocol population), applied this model to predict 30-day mortality among prospective patients (postprotocol population), and compared observed vs expected results.
  
  
  METHODS
  We assessed 126 patients with rAAA. Primary outcome was 30-day mortality. Potential confounding variables were age, sex, presurgical lowest recorded systolic blood pressure (SBP), and glomerular filtration rate (GFR). A logistic regression model incorporating significant confounders was used to evaluate changes in 30-day mortality for all patients with rAAA after introduction of the EVAR protocol. Separate logistic regressions were done to compare 30-day mortality for preprotocol vs patients receiving EVAR and preprotocol vs patients receiving postprotocol open repair. Cumulative sum (CUSUM) analysis was used to assess shifts in the performance of the rAAA program over time.
  
  
  RESULTS
  Significant confounders were SBP, absence of SBP, and GFR. Logistic regression found evidence of lower mortality after the protocol was introduced, 17.9% vs 30.0% (odds ratio [OR], 0.385; 95% confidence interval [CI], 0.141 to 0.981; P = .046). Comparison of all open repairs (preprotocol and postprotocol) and EVAR demonstrated decreased risk for EVAR of 5.0% vs 28.3% (OR, 0.109; 95% CI, 0.013 to 0.906; P = .0084). Unstable patients (SBP <or=80) showed a trend towards improved survival with EVAR relative to open repair (14.3% vs 56.0%, P = .061). Comparison of preprotocol surgery with open repair after the introduction of the protocol found no evidence of a difference between mortality rates for the open procedures-30.0% (preprotocol) vs 25.0% (postprotocol; OR, 0.688; 95% CI, 0.335 to 1.415, P = .3031)-demonstrating that the improved performance observed with CUSUM analysis was related to the introduction of the EVAR protocol.
  
  
  CONCLUSIONS
  Our predictive model using "weighted" CUSUM analysis (a measure of performance over time) demonstrated that a predefined strategy of management of rAAA that includes EVAR is associated with improved (P < .05) mortality. Unstable patients with rAAA may be particularly benefited by EVAR and should not be excluded from repair. Appropriate patients with rAAA who are undergoing treatment in experienced vascular centers should be offered EVAR as the treatment of choice.
authors.affiliation: Division of Vascular Surgery, Department of Surgery, University of Calgary, Calgary, Alberta, Canada. randyd.moore@calgaryhealthregion.ca
authors.forename: Randy
authors.initials: R
authors.lastname: Moore
authors.forename: Mark
authors.initials: M
authors.lastname: Nutley
authors.forename: Claudio S
authors.initials: CS
authors.lastname: Cina
authors.forename: Mona
authors.initials: M
authors.lastname: Motamedi
authors.forename: Peter
authors.initials: P
authors.lastname: Faris
authors.forename: Wesam
authors.initials: W
authors.lastname: Abuznadah
mesh_terms: D000368:Aged; D000465:Algorithms; D017544:Aortic Aneurysm, Abdominal / Q000401:mortality* / Q000503:physiopathology / Q000601:surgery*; D001019:Aortic Rupture / Q000401:mortality* / Q000503:physiopathology / Q000601:surgery*; D001794:Blood Pressure; D019917:Blood Vessel Prosthesis Implantation / Q000379:methods; D015331:Cohort Studies; D003661:Decision Support Techniques; D003663:Decision Trees; D004632:Emergency Medical Services; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D016015:Logistic Models; D008297:Male; D009864:Ontario; D018579:Patient Selection; D011237:Predictive Value of Tests; D011446:Prospective Studies; D018570:Risk Assessment; D016019:Survival Analysis; D013997:Time Factors; D016896:Treatment Outcome