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Analysis of a Machine Learning–Based Risk Stratification Scheme for Chronic Limb-Threatening Ischemia

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Key Points Question At the time of chronic limb-threatening ischemia (CLTI) diagnosis, how are increasing patient risk, wound severity, and degree of atherosclerotic occlusions associated with CLTI-free survival? Findings This… Click to show full abstract

Key Points Question At the time of chronic limb-threatening ischemia (CLTI) diagnosis, how are increasing patient risk, wound severity, and degree of atherosclerotic occlusions associated with CLTI-free survival? Findings This cohort study analyzed nested cohort data for 1238 patients from the Project of Ex Vivo Vein Graft Engineering via Transfection (PREVENT) III trial, the largest prospective randomized clinical trial evaluating the efficacy of edifoligide on outcomes in infrainguinal bypass for CLTI. The study identified 3 distinct clusters within the cohort, with 1-year CLTI-free survival rates of 82.3% for stage 1, 61.1% for stage 2, and 53.4% for stage 3. Meaning These findings suggest that, based on presenting characteristics, there are distinct clusters of patients with different 1-year CLTI-free survival; therefore, CLTI-free survival can be accurately and reproducibly quantified and may be used as a patient-centric outcome.

Keywords: clti free; free survival; threatening ischemia; chronic limb; limb threatening

Journal Title: JAMA Network Open
Year Published: 2022

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