Healthcare resource utilization and costs of major atherothrombotic vascular events among patients with peripheral artery disease after revascularization

Peripheral artery disease (PAD), often treated with lower extremity revascularization, is associated with risk of major atherothrombotic vascular events (acute limb ischemia [ALI], major non-traumatic lower-limb amputation, myocardial infarction [MI], ischemic stroke, cardiovascular death). This study aims to assess healthcare resource utilization and costs of such events among patients with PAD after revascularization.Patients aged ≥50 years with PAD who were treated with lower-extremity revascularization were identified from Optum Clinformatics Data Mart claims database (01/2014-06/2019). The first lower extremity revascularization after PAD diagnosis was defined as the index date. Patients had ≥6 months of health plan enrollment before the index date. Patients were followed until the earliest of 1) end of enrollment or data; 2) diagnosis of atrial fibrillation or venous thromboembolism; or 3) oral anticoagulant use. All-cause healthcare resource use per-patient-year was compared before and after a major atherothrombotic vascular event post-revascularization among those with an event. Additionally, event-related healthcare costs per-patient-year were reported for each event type.Of the 38,439 PAD patients meeting the study criteria, 6,675 (17.4%) had a major atherothrombotic vascular event. On average, patients were observed for 7.3 months before an event and 6.2 months after an event. Patients with an event had significantly higher all-cause healthcare resource use versus similar metrics pre-event (e.g. inpatient visits among those with ALI: 3.5 ± 5.8 post-event vs. 2.0 ± 8.1 pre-event,Data do not contain clinical information. Additionally, results are limited to commercially insured and Medicare Advantage beneficiaries.Patients with PAD who experience major atherothrombotic vascular events post-revascularization have considerably higher healthcare resource use and costs compared with similar metrics pre-event. Therefore, reducing the rate of such events could reduce overall healthcare costs for this population.