Risk Factors For Surgical Site Infection After Lower Limb Revascularization Surgery: A Systematic Review and Meta-analysis of Prognostic Studies

0.62 (95% CI, 0.60-0.64),and existing tools in the literature demonstrate AUROCs ranging from 0.58 to 0.74.The calibration plot showed good agreement between predicted and observed event probabilities with a Brier score of 0.02 (Fig 2).The strongest predictive feature in our algorithm was carotid symptom status.Model performance remained robust on all subgroup analyses of specific demographic/clinical populations.Conclusions: Our ML models accurately predict 30-day outcomes following CEA using preoperative data and perform better than existing tools.They have potential for important utility in guiding risk-mitigation strategies for patients being considered for CEA to improve outcomes.