Utilization and Outcomes Associated With Intravascular Ultrasound during Abdominal and Thoracic Endovascular Aortic Interventions in the United States in the Contemporary Era (2016-2023)

Background: Intravascular ultrasound (IVUS) use in aortic endovascular interventions, including thoracic endovascular aneurysm repair (TEVAR) and endovascular aneurysm repair (EVAR), may have similar benefits to those seen in coronary and peripheral interventions, but limited utilization and outcome data exist. Methods: Centers for Medicare and Medicaid Services claims data were used to identify patients undergoing TEVAR and EVAR from 2016 to 2023. Utilization trends were stratified by region, urbanicity, distressed communities index, community versus academic center, Medicare versus dual enrollment status, indication, urgency, and presence of dissection with malperfusion. Inverse probability weighting was used to assess the impact of IVUS on a composite outcome of repeat aortic intervention or death. Cox regression was used to estimate weighted hazard ratios. Results: A total of 136 540 patients underwent TEVAR and EVAR, of which 9.8% (13 364) used IVUS. IVUS use increased slightly from 2016 to 2023, driven more by use in TEVAR compared with EVAR, and was higher in academic settings, with Medicare and Medicaid dual enrollment, in the West, with dissections, with malperfusion and for elective procedures. IVUS was associated with a lower risk of the primary outcome at 30-days (hazard ratio, 0.80 [95% CI, 0.73-0.89]; P<0.001) and 6-months (hazard ratio, 0.93 [95% CI, 0.87-0.99]; P=0.022) for all-comers. Subgroup analysis suggested lower risks of the primary outcome with IVUS use for aneurysm driven by the abdominal segment, malperfusion, thoracoabdominal dissection with malperfusion, thoracoabdominal repair, and chronic kidney disease. Conclusions: IVUS use has increased slightly in TEVAR and EVAR with heterogeneity in use. IVUS implementation during TEVAR and EVAR was associated with improved early and mid-term outcomes, particularly in certain subsets.