Abstract
Data on predictors of poor hemodynamic presentation and rehospitalizations following transcatheter aortic valve replacement (TAVR) are limited. We evaluate the association between neighborhood socioeconomic status (NSES) on echocardiographic presentation and post-TAVR readmission at a high-volume institution. All patients undergoing TAVR at a single institution between 2012 and 2022 were included. Patient addresses, baseline variables including Society of Thoracic Surgeons (STS) preoperative risk of mortality and frailty, and post-procedural outcomes were extracted from electronic health records. Using a validated US Census Bureau Index, the NSES of each patient (1-100) was tabulated, with lower values correlating to increased social deprivation. Patients were separated into four ranked groups based on NSES (rank 1: 1-25, rank 4: 76-100). Multivariable regression was performed to determine variables associated with number of days hospitalized in one-year following index TAVR procedure. A total of 2031 patients were included. The median NSES was 68 (IQR: 53-80). There was a total of 232 (11.4%) readmissions. The median number of days hospitalized in one year following TAVR was 4 (interquartile range [IQR]: 2-7) After adjusting for baseline variables including STS risk score and patient frailty, compared to patients in the lowest ranked socioeconomic group, patients of higher NSES were associated with lower aortic valve gradients at baselines (Exp[β]=0.997, 95% CI: 0.993-0.999, P=0.049). Additionally, compared to patients in the lowest ranked socioeconomic group, patients of NSES were associated with shorter duration of readmission after risk-factor adjustments (Exp[β]=0.996, 95% CI: 0.992-0.999, P=0.032). Patients of lower socioeconomic status are associated with higher aortic valve gradient at baseline and more days hospitalized in the first year after their index TAVR procedure after adjusting for other risk factors. As TAVR volume continues to expand, physicians and health systems must consider this independent factor when determining patient prognosis and readmission policies.
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