Validation of the WIfI classification in the Vascular Quality Initiative database

Dana Alameddine1, Keyuree Satam2, Martin D Slade3

  • 1Division of Vascular Surgery and Endovascular Therapy, Yale University School of Medicine, New Haven, CT.

PubMed

Insights

The Wound, Ischemia, and foot Infection (WIfI) classification accurately predicts major amputation risk in chronic limb-threatening ischemia (CLTI) patients within the Vascular Quality Initiative database. Higher WIfI stages correlate with increased amputation and mortality risks.

Area of Science:

  • Vascular Surgery
  • Clinical Outcomes Research
  • Health Informatics

Background:

  • The Society for Vascular Surgery Wound, Ischemia, and foot Infection (WIfI) classification is a validated tool for assessing chronic limb-threatening ischemia (CLTI) severity and predicting amputation risk.
  • The Vascular Quality Initiative (VQI) Peripheral Vascular Interventions (PVI) database collects relevant data but does not provide complete WIfI staging.

Purpose of the Study:

  • To validate the WIfI classification within the VQI PVI database.
  • To analyze the predictive value of different WIfI component combinations for major amputation after lower extremity revascularization (LER).

Main Methods:

  • Review of VQI PVI data from 2013-2024 for patients with CLTI.
  • Derivation of WIfI scores for eligible patients.
  • Comparison of patient characteristics and outcomes (major amputation, reintervention, mortality) between different WIfI stages using Kaplan-Meier curves and Cox regression analysis.

Main Results:

  • WIfI stage derivation was possible for 42,858 patients, with 28,727 included in the long-term follow-up analysis.
  • 11.4% of patients underwent major amputation; higher WIfI stages significantly increased 1-year major amputation or mortality risk (Stage 4: 20.2%).
  • WIfI clinical stage and end-stage renal disease were independent predictors of major amputation or mortality.

Conclusions:

  • The WIfI classification is validated in the VQI PVI database, demonstrating its utility in predicting major amputation and mortality in CLTI patients.
  • Integrating the WIfI score into VQI modules is crucial for comprehensive management of peripheral artery disease.
Abstract

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