Peripheral artery diseases (PADs) are a growing public health problem globally and a common, debilitating comorbidity among dialysis patients. However, the impact of social determinants of health on PAD within this population remains underexplored. This study evaluated associations between zip code-level socioeconomic indicators and PAD incidence and prevalence among US dialysis patients. The 2022 Medicare Dialysis Facilities dataset was used to identify US dialysis centers and matched associated zip codes with the Centers for Disease Control and Prevention and Agency for Toxic Substance and Disease Registry Social Vulnerability Index. Variables included community-level indicators of income, housing, employment, insurance, and access to care. Multivariable linear regression models were constructed in SPSS between social determinants of health and PAD burden. PAD incidence and prevalence were highest in the Northeast (M = 9.11, M = 18.66 respectively). Incidence was positively associated with poverty (β = 0.200, P < 0.001) and uninsurance (β = 0.052, P = 0.015), whereas housing burden, unemployment, education, and region showed inverse associations. For PAD prevalence, uninsurance remained positively associated (β = 0.088, P < 0.001); poverty, rurality, and region were negative predictors. Interaction terms (uninsurance × region; uninsurance × rurality) were significant for both outcomes. Model fit was modest (adjusted R2 = 0.018-0.031). Uninsured status and poverty are key SDHs linked to PAD in dialysis patients, although effects vary by incidence and prevalence, reflecting the combined influence of structural, geographical, and facility disparities.

Arterial aneurysms at various anatomical locations are known to be associated with one another. Prior research has suggested that abdominal aortic aneurysms (AAAs) occur more often in patients with intracranial aneurysms (IAs) compared to the general population. Unfortunately, the current body of literature on this subject is scarce. The primary objective of this study was to evaluate the risk of concomitant AAA among patients with IA. This was a retrospective cohort study conducted at 2 collaborating neurovascular centers. Each center identified IA patients (either ruptured or unruptured). Patients were included if imaging which could detect an AAA was performed at any point in time. The primary outcome was the occurrence rate of AAA in the study population. The secondary objective was to identify potential risk factors for concomitant AAA in IA patients. A total of 3,609 IA patients were screened of whom 1,182 underwent imaging of the abdominal aorta. After exclusion based on several criteria, 1,070 IA patients were included. Within this study cohort, an occurrence of 79 AAAs was found (7.4%). Male sex and increasing age were risk factors for the occurrence of an AAA. Imaging in this study revealed an AAA occurrence rate of 7.4% in the included IA patients, which is substantially higher than the prevalence of the general population and the known prevalence in male individuals over 60 years. Additional risk factors include male sex and advanced age. These findings support consideration of screening for AAA in patients diagnosed with IA.