The intersection of community socioeconomic factors with gender on outcomes after thoracic aortic surgery.

Objective: We evaluated the relationship among community socioeconomic factors (poverty, income, and education), gender, and outcomes in patients who underwent ascending aortic, root, and arch surgery.

Methods: For 2634 consecutive patients, we associated patients' ZIP codes with community socioeconomic factors. The composite adverse outcome comprised death, persistent neurological injury, and renal failure necessitating dialysis at discharge. Multivariable analysis and Kaplan-Meier survival curves were used. Men and women from the full cohort and from the elective patients were propensity matched.

Results: Median follow-up was 3.6 years (interquartile range, 1.2-9.3). Men lived in areas characterized by less poverty (P = .03), higher household income (P = .01), and more education (P = .02) than women; likewise, in the elective cohort, all community socioeconomic factors favored men (P ≤ .009). Female gender predicted composite adverse outcome (P = .006). In the propensity-matched women and men (820 pairs), the composite adverse outcome rates were 14.2% and 11%, respectively (P = .06). In 583 propensity-matched pairs of elective patients, men had less composite adverse outcome (P = .02), operative mortality (P = .04), and renal (P = .02) and respiratory failure (P = .0006). The 5- and 10-year survivals for these men and women were 74.2% versus 71.4% and 50.2% versus 48.2%, respectively (P = .06). All community socioeconomic factors in both propensity-matched groups nonsignificantly favored men.

Conclusions: This study is among the first to examine the association among community socioeconomic factors, gender, and outcomes in patients who undergo proximal aortic surgery. Female gender predicted a composite adverse outcome. In the elective patients, most adverse outcomes were significantly less in men. In the propensity-matched patients, all community socioeconomic factors favored men, although not significantly. Larger studies with patient-level socioeconomic information are needed.