Literature DB >> 20435262

Bypass versus Angioplasty in Severe Ischaemia of the Leg (BASIL) trial: A survival prediction model to facilitate clinical decision making.

Andrew W Bradbury1, Donald J Adam, Jocelyn Bell, John F Forbes, F Gerry R Fowkes, Ian Gillespie, Charles Vaughan Ruckley, Gillian M Raab.   

Abstract

BACKGROUND: An intention-to-treat analysis of the Bypass versus Angioplasty in Severe Ischaemia of the Leg (BASIL) trial showed that in patients with severe lower limb ischemia (SLI) due to infrainguinal disease who survived for 2 years after intervention, initial randomization to a bypass surgery (BSX)-first vs balloon angioplasty (BAP)-first revascularization strategy was associated with improvements in subsequent overall survival (OS) and amputation-free survival (AFS) of about 7 and 6 months, respectively. This study explored the value of baseline factors to estimate the likelihood of survival to 2 years for the trial cohort (Cox model) and for individual BASIL trial patients (Weibull model) as an aid to clinical decision making.
METHODS: Of 452 patients presenting to 27 United Kingdom hospitals, 228 were randomly assigned to a BSX-first and 224 to a BAP-first revascularization strategy. Patients were monitored for at least 3 years. Baseline factors affecting the survival of the entire cohort were examined with a multivariate Cox model. The chances of survival at 1 and 2 years for patients with given baseline characteristics were estimated with a Weibull parametric model.
RESULTS: At the end of follow-up, 172 patients (38%) were alive without major limb amputation of the trial leg, and 202 (45%) were alive. Baseline factors that were significant in the Cox model were BASIL randomization stratification group, below knee Bollinger angiogram score, body mass index, age, diabetes, creatinine level, and smoking status. Using these factors to define five equally sized groups, we identified patients with 2-year survival rates of 50% to 90%. The factors that contributed to the Weibull predictive model were age, presence of tissue loss, serum creatinine, number of ankle pressure measurements detectable, maximum ankle pressure measured, a history of myocardial infarction or angina, a history of stroke or transient ischemia attack, below knee Bollinger angiogram score, body mass index, and smoking status.
CONCLUSIONS: Patients in the BASIL trial were at high risk of amputation and death regardless of revascularization strategy. However, baseline factors can be used to stratify those risks. Furthermore, within a parametric Weibull model, certain of these factors can be used to help predict outcomes for individuals. It may thus be possible to define the clinical and anatomic (angiographic) characteristics of SLI patients who are likely-and not likely-to live for >2 years after intervention. Used appropriately in the context of the BASIL trial outcomes, this may aid clinical decision making regarding a BSX- or BAP-first revascularization strategy in SLI patients like those randomized in BASIL. Copyright (c) 2010 Society for Vascular Surgery. Published by Mosby, Inc. All rights reserved.

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Year:  2010        PMID: 20435262     DOI: 10.1016/j.jvs.2010.01.077

Source DB:  PubMed          Journal:  J Vasc Surg        ISSN: 0741-5214            Impact factor:   4.268


  33 in total

Review 1.  [Minor amputations - a maxi task. Part 1: From the principles to transmetatarsal amputation].

Authors:  R Matamoros; G Riepe; P Drees
Journal:  Chirurg       Date:  2012-10       Impact factor: 0.955

2.  Decision-Making in Critical Limb Ischemia: A Markov Simulation.

Authors:  Aaron J Deutsch; C Charles Jain; Kimberly G Blumenthal; Mark W Dickinson; Anne M Neilan
Journal:  Ann Vasc Surg       Date:  2017-07-21       Impact factor: 1.466

Review 3.  A review of the surgical management of heel pressure ulcers in the 21st century.

Authors:  David C Bosanquet; Ann M Wright; Richard D White; Ian M Williams
Journal:  Int Wound J       Date:  2015-02-16       Impact factor: 3.315

Review 4.  Bypass surgery for chronic lower limb ischaemia.

Authors:  George A Antoniou; George S Georgiadis; Stavros A Antoniou; Ragai R Makar; Jonathan D Smout; Francesco Torella
Journal:  Cochrane Database Syst Rev       Date:  2017-04-03

5.  [Diabetic foot syndrome].

Authors:  A Larena-Avellaneda; H Diener; T Kölbel; F Tató; E S Debus
Journal:  Chirurg       Date:  2010-09       Impact factor: 0.955

6.  An integrated biochemical prediction model of all-cause mortality in patients undergoing lower extremity bypass surgery for advanced peripheral artery disease.

Authors:  Christopher D Owens; Ji Min Kim; Nathanael D Hevelone; Warren J Gasper; Michael Belkin; Mark A Creager; Michael S Conte
Journal:  J Vasc Surg       Date:  2012-05-02       Impact factor: 4.268

7.  Development and validation of a risk calculator for prediction of mortality after infrainguinal bypass surgery.

Authors:  Prateek K Gupta; Bala Ramanan; Thomas G Lynch; Abhishek Sundaram; Jason N MacTaggart; Himani Gupta; Xiang Fang; Iraklis I Pipinos
Journal:  J Vasc Surg       Date:  2012-05-24       Impact factor: 4.268

8.  Proceedings from the Society of Interventional Radiology research consensus panel on critical limb ischemia.

Authors:  Sanjay Misra; Robert Lookstein; John Rundback; Alan T Hirsch; William R Hiatt; Michael R Jaff; Christopher R White; Michael Conte; Patrick Geraghty; Manesh Patel; Kenneth Rosenfield
Journal:  J Vasc Interv Radiol       Date:  2013-04       Impact factor: 3.464

9.  Critical limb ischemia.

Authors:  Andres Schanzer; Michael S Conte
Journal:  Curr Treat Options Cardiovasc Med       Date:  2010-04-14

10.  Determinants of survival and major amputation after peripheral endovascular intervention for critical limb ischemia.

Authors:  Luke Vierthaler; Peter W Callas; Philip P Goodney; Andres Schanzer; Virenda I Patel; Jack Cronenwett; Daniel J Bertges
Journal:  J Vasc Surg       Date:  2015-07-26       Impact factor: 4.268

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