LB-6
Disparities in Pulmonary Embolism Care: Insights from Big Data Analytics
Presenter
Sahil A. Parikh, MD, FSCAI, NewYork-Presbyterian Columbia University Irving Medical Center, New York, NY
Sahil A. Parikh, MD, FSCAI, NewYork-Presbyterian Columbia University Irving Medical Center, New York, NY and Peter Monteleone, M.D., The University of Texas at Austin, Austin, TX
Keywords: Diversity Equity and Inclusion (DEI) and Pulmonary Embolism (PE)
Background
The REAL-PE analysis investigated catheter-directed pulmonary embolism (PE) treatment based on real-world, near real-time electronic health records from more than 2000 patients. These data provide opportunity to examine characteristics associated with treatment selection and identify potential disparities in care.
Methods
Deidentified data from Truveta (Truveta, Inc, Bellevue, WA) were analyzed. Patients treated with ultrasound-assisted catheter-directed thrombolysis (USCDT, EKOS, Boston Scientific) or mechanical thrombectomy (MT, Inari Medical) for PE were identified through ICD10, SNOMED, and UDI codes. Patient characteristics including race, ethnicity, age, and sex, as well as comorbidities and prior diagnoses were assessed to investigate their association with the type of treatment used.
Results
Results will be available at the time of presentation.
Conclusions
Differences in demographic characteristics between patients treated with USCDT and MT may suggest disparities in access to treatment options or other inequities associated with treatment selection.