Identifying predictors of generic and disease-specific health status outcomes in patients with lower extremity peripheral artery disease (PAD) who undergo femoral-popliteal peripheral vascular intervention (PVI) for claudication remains an under-studied area. We aimed to identify important predictors of health status after PVI as the foundation for risk-based approaches to deploying therapies that improve patient outcomes. Baseline characteristics of 468 participants with claudication and femoral/popliteal stenosis treated with either the Stellarex paclitaxel-based drug coated balloon (DCB) or plain balloon angioplasty (PTA) from 2013 -2019 were included. The study examined 59 baseline variables and aimed to identify the most important predictors of generic (EQ-5D-3L and EQ-5D visual analogue scale [VAS]) and disease specific (Walking improvement Questionnaire [WIQ]) health status at 1 year. A random forest model was used to generate a rank variables based on their importance in predicting 1-year health status. Among included patients, mean ± SD age was 68.3 ± 9 years with 67.9% and 87% being male and white respectively. Baseline mean EQ-5D-3L, EQ-5D VAS and WIQ were 0.7 ± 0.3, 64.6± 16.0 and 30.7± 22.1, respectively. The most important variables for predicting EQ-5D-3L, EQ-5D VAS, and WIQ were a history of deep venous thrombosis, chronic lung disease and hypertension, respectively. Among patients undergoing PVI for claudication, comorbidities were the most important predictors of future health status, underscoring the need for an integrated approach for PAD disease management. Utilization of machine learning approaches can facilitate development of models to inform risk-based approaches to treatment.
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