To examine associations between insurance type, smoking status, and geographic region among patients diagnosed with CVT using a national health database.

Cerebral Venous Thrombosis (CVT) is a rare cerebrovascular disorder influenced by demographic, behavioral, and socioeconomic factors. While therapeutic management has been studied extensively, less is known about how social and lifestyle determinants relate to the frequency and distribution of CVT across populations.

A retrospective cross-sectional analysis of 368 de-identified CVT patients aged 0–89 years was performed using the HealthFacts database. Demographic (race, gender, region), behavioral (smoking, BMI), and socioeconomic (insurance type) variables were extracted. Correlation analysis and a chi-squared model were used to compare distributions across insurance and regional groups, with p < 0.05 considered statistically significant.

Of 368 patients, 62% were female and 38% male, with a mean age of 40 years. Caucasian patients represented 73%, African American 12%, and other racial groups 15%. Smoking was reported in 48% of patients. Smoking prevalence differed significantly by region (p < 1×10⁻¹⁰): Northeast (70.8%), South (46.3%), Midwest (42.6%), and West (19.4%). Insurance coverage varied among CVT patients (p = 0.00066), with Medicare (19%), Medicaid (11%), Blue Cross/Blue Shield (10%), Other Commercial Payers (10%), and Self-Pay (9%) being most frequent. 

Significant regional and insurance-based differences were observed among CVT patients, particularly in smoking prevalence and payer distribution. Patients with Medicaid or Self-Pay coverage showed higher representation among smokers, suggesting a link between socioeconomic disadvantage and modifiable thrombotic risk. Regions with greater smoking rates may carry increased behavioral burden for CVT occurrence. Given the association between smoking and hypercoagulability, targeted cessation counseling and equitable access to preventive neurology services should be prioritized. Future studies should assess whether addressing insurance-linked and behavioral inequities can reduce CVT recurrence and improve long-term outcomes.