Predictive Model for Postoperative Ambulatory Function after Lower Extremity Bypass in Chronic Limb-Threatening...

Area of Science:

• Vascular Surgery
• Patient Outcomes Research
• Predictive Modeling

Background:

• Chronic limb-threatening ischemia significantly impacts patient mobility.
• Restoring ambulatory function is a primary treatment objective.
• Preoperative risk factors influence postoperative recovery.

Purpose of the Study:

• To develop a predictive model for ambulatory ability one year after bypass surgery.
• To identify preoperative risk factors associated with postoperative ambulation.
• To utilize the Wound, Ischemia, and foot Infection (WIfI) classification in the model.

Main Methods:

• Analysis of 146 patients (154 limbs) with chronic limb-threatening ischemia undergoing bypass.
• Classification of patients into ambulatory and non-ambulatory groups one year post-surgery.
• Multivariate logistic regression to identify independent risk factors for nonambulation.

Main Results:

• Independent risk factors for nonambulation included: preoperative nonambulatory status, functional nonindependence, older age, WIfI wound grade 3, COPD, and hemodialysis.
• A predictive scoring model demonstrated good discrimination (AUC=0.898).
• Probabilities of ambulation varied significantly based on the predictive score.

Conclusions:

• Preoperative factors like nonambulatory status, functional dependence, age, WIfI grade, COPD, and dialysis predict postoperative ambulation.
• The developed predictive model can aid in patient selection for bypass surgery.
• Identifying patients likely to benefit from bypass surgery is crucial for optimizing treatment outcomes.