title: The BASIL survival prediction model in patients with peripheral arterial disease undergoing revascularization in a university hospital setting and comparison with the FINNVASC and modified PREVENT scores.
abstract: BACKGROUND
  Critical limb ischemia carries a significant risk of morbidity and mortality. The development of scores to predict risk can aid clinical decision making. The Bypass versus Angioplasty in Severe Ischaemia of the Leg (BASIL) trial investigators developed a model to predict death, which has not been previously validated.
  
  
  METHODS
  Data were collected in a prospectively maintained database on all patients who underwent angioplasty or arterial bypass for peripheral artery disease in a university hospital between January 2008 and June 2010. The main outcome measures were all-cause mortality and amputation-free survival at 3, 6, 12, and 24 months after the index intervention. The BASIL survival predictor, Finland National Vascular (FINNVASC) registry, and Edifoligide for the Prevention of Infrainguinal Vein Graft Failure (PREVENT) models were applied and receiver-operating characteristic (ROC) curve analysis was used to evaluate their predictive power.
  
  
  RESULTS
  Data on 342 patients were collected. Patients with isolated iliac disease or claudication were excluded. The 6-, 12-, and 24-month all-cause mortality rates were 11.6%, 17.9%, and 26.8%, respectively. The area under the ROC curve (95% confidence interval) using the BASIL score to predict mortality at 6, 12, and 24 months was 0.700 (0.60-0.80; P<.001), 0.651 (0.56-0.74; P<.003), and 0.681 (0.59-0.74; P<.001), respectively. ROC curve analysis indicated that the performance of the BASIL score in this cohort was comparable to other validated predictive scores.
  
  
  CONCLUSIONS
  The BASIL survival prediction model can moderately predict short-term and medium-term mortality in patients with limb ischemia and may be a useful adjunct to decision making in everyday clinical practice.
authors.affiliation: St George's Vascular Institute, St George's Healthcare NHS Trust, London, United Kingdom.
authors.forename: Paul W
authors.initials: PW
authors.lastname: Moxey
authors.forename: Jack
authors.initials: J
authors.lastname: Brownrigg
authors.forename: Sharanya S
authors.initials: SS
authors.lastname: Kumar
authors.forename: Georgina
authors.initials: G
authors.lastname: Crate
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Holt
authors.forename: Matt M
authors.initials: MM
authors.lastname: Thompson
authors.forename: Keith G
authors.initials: KG
authors.lastname: Jones
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Hinchliffe
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000671:Amputation, Surgical; D000800:Angioplasty, Balloon / Q000009:adverse effects / Q000401:mortality; D003661:Decision Support Techniques; D005260:Female; D006785:Hospitals, University / Q000706:statistics & numerical data; D006801:Humans; D007511:Ischemia / Q000175:diagnosis / Q000401:mortality / Q000601:surgery / Q000628:therapy*; D023821:Limb Salvage; D035002:Lower Extremity / Q000098:blood supply*; D008297:Male; D008875:Middle Aged; D058729:Peripheral Arterial Disease / Q000175:diagnosis / Q000401:mortality / Q000601:surgery / Q000628:therapy*; D011237:Predictive Value of Tests; D012372:ROC Curve; D012086:Reoperation; D015203:Reproducibility of Results; D012189:Retrospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D016019:Survival Analysis; D013997:Time Factors; D016896:Treatment Outcome; D058017:Vascular Grafting / Q000009:adverse effects / Q000401:mortality