Abstract P006: Association of Multimorbidity With Cardiovascular Endpoints in Elderly Patients With Atrial Fibrillation

Abstract

Introduction: The prevalence of atrial fibrillation (AF) and multimorbidity increase with age; however, the burden imposed by concurrent conditions on outcomes is unknown. Therefore, we aimed to determine the effect of the number and type of comorbid conditions on outcomes in elderly individuals with incident AF. Methods: Patients with non-valvular AF 75 years and older were identified in the MarketScan Medicare Supplemental database from 2007-2015. Fourteen chronic conditions, defined by two occurrences of a diagnostic code from inpatient and outpatient claims prior to or at the time of AF diagnosis, were obtained and classified into two categories: cardiovascular (CV) or non-CV (listed in Table footnote). We used Cox regression to estimate the associations of the number and type of conditions with stroke, severe bleeding, and heart failure hospitalizations (HF). Results: Among 275,617 patients with AF (mean age 83 years, 51% women), 90% had at least one or more additional chronic conditions. The mean (SD) number of conditions per participant was 1.8 (0.9) for CV conditions and 2.1 (1.2) for non-CV conditions. Over a mean follow-up of 23 months, 7,814 strokes, 13,622 severe bleeds, and 19,252 HF events occurred. After adjustment for age, sex, the number of conditions in the other comorbidity group, an increase of one CV condition was associated with greater risk of stroke, severe bleeding, and HF (Table). In contrast, an increase in one non-CV condition was associated with a lower risk of stroke, and a small increase in bleeding and HF risk (Table). After further adjustments for frailty and medications, the strength of the associations within each group decreased across outcomes. Conclusion: CV conditions in AF patients 75 years and older are more strongly associated with stroke, HF, and bleeding than non-CV conditions. This underscores the effect of CV conditions on CV outcomes in a population in which multimorbidity is most common and health care management and delivery is complex.