Nomogram for predicting amputation-free survival in acute lower limb ischemia patients treated by endovascular

Hao Huang1, Jie Kong1, Xu He1

  • 1Department of Interventional Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.

Heliyon
|June 13, 2024
PubMed

Insights

This study developed a nomogram to predict amputation-free survival (AFS) in acute lower limb ischemia (ALLI) patients after endovascular therapy. The tool accurately identifies patients at risk, aiding in treatment decisions.

Area of Science:

  • Vascular Surgery
  • Medical Imaging & Diagnostics
  • Biostatistics

Background:

  • Acute lower limb ischemia (ALLI) poses a significant risk of amputation.
  • Endovascular therapy is a common treatment for ALLI, but predicting outcomes remains challenging.
  • Accurate prediction of amputation-free survival (AFS) is crucial for patient management.

Purpose of the Study:

  • To develop and validate a novel nomogram for predicting AFS in ALLI patients treated with endovascular therapy.
  • To identify independent risk factors associated with amputation in this patient cohort.

Main Methods:

  • A retrospective analysis of 415 Chinese patients with ALLI who underwent endovascular therapy.
  • Patients were divided into training (n=311) and validation (n=104) cohorts.
  • Univariate and multivariate analyses identified independent risk factors for AFS, upon which a nomogram was constructed and validated.

Main Results:

  • Advanced age, smoking history, atrial fibrillation, and insufficient outflow were identified as independent negative predictors of AFS.
  • The developed nomogram demonstrated high predictive accuracy, with AUROC values of 0.912 in the training cohort and 0.889 in the validation cohort.

Conclusions:

  • The study successfully developed an accurate nomogram to predict AFS in ALLI patients undergoing endovascular therapy.
  • The nomogram incorporates key risk factors, offering a valuable tool for clinical decision-making and patient risk stratification.
Abstract