Risk stratification in critical limb ischemia: derivation and validation of a model to predict amputation-free

Andres Schanzer1, Jessica Mega, Judith Meadows

  • 1University of Massachusetts, Worcester, Massachusetts 01655, USA. schanzea@ummhc.org

Insights

A new risk score for critical limb ischemia (CLI) patients undergoing bypass surgery accurately predicts amputation-free survival (AFS). This score helps stratify patients into low, medium, and high-risk groups for better clinical decision-making.

Area of Science:

  • Vascular Surgery
  • Clinical Decision-Making
  • Risk Stratification

Background:

  • Critical limb ischemia (CLI) patients present heterogeneous risks for mortality and limb loss.
  • Endovascular options offer lower procedural risk but potentially inferior durability compared to bypass.
  • Improved risk stratification is needed for better clinical decisions and new technology assessment in CLI.

Purpose of the Study:

  • To develop and validate a risk stratification model for amputation-free survival (AFS) in patients with CLI undergoing infrainguinal vein bypass.
  • To identify key predictors of AFS in this patient population.
  • To create a practical tool for surgical decision-making.

Main Methods:

  • Retrospective analysis of prospectively collected data from two cohorts: PREVENT III trial (n=1404) and a multicenter registry (n=716).
  • Patients underwent infrainguinal vein bypass surgery for CLI.
  • A stepwise Cox model identified significant AFS predictors, which were used to create an integer risk score for stratifying patients into three risk groups. Internal and external validation were performed.

Main Results:

  • The developed risk score identified significant predictors of AFS: dialysis, tissue loss, age >=75, hematocrit <=30, and advanced coronary artery disease (CAD).
  • The model stratified patients into low, medium, and high-risk groups with distinct 1-year AFS rates (86%, 73%, and 45%, respectively).
  • Risk stratification performance was consistent across derivation, internal validation, and external validation datasets.

Conclusions:

  • A parsimonious risk stratification model, the "PIII risk score," reliably identifies CLI patients at high risk (>50% chance of death or major amputation at 1 year) undergoing surgical bypass.
  • This score can aid surgical decision-making for infrainguinal disease.
  • The PIII risk score is valuable for clinical trial designs involving the CLI population.
Abstract

Related Concept Videos