Abstract

BackgroundsThe prevalence of atrial fibrillation (AF) has been increasing in aging societies. The prognostic impact of AF associated with worsening heart failure (HF) remains obscure. Methods and resultsWe analyzed 1170 acute heart failure (AHF) patients who required intensive care. Patients were assigned to two groups according to the prevalence of AF: no episode of AF (n = 940) and pre-existing AF (Group-1, n = 230). Patients with no episode of AF (n = 940) were further divided into two groups according to presence of new-onset of AF after admission (Group-2a, n = 258) or not (Group-2b, n = 682). Kaplan-Meier curve analysis showed that prognosis, including all-cause mortality and HF-events within 1000 days, was significantly poorer in the Group-1 compared to the Group-2b. However, a multivariate Cox regression model showed that the Group-1 was not an independent predictor of 1000-day mortality and HF-events. Furthermore, Kaplan-Meier curve analysis showed that prognosis, including all-cause mortality and HF-events within 1000 days, was significantly poorer in the Group-2a than in the Group-2b. A multivariate Cox regression model revealed that the Group-2a was an independent predictor of 1000-day mortality (HR: 1.403, 95% CI: 1.018–1.934) and HF-events (HR: 1.352, 95% CI: 1.071–1.708). A multivariate logistic regression model showed that only age (≥75 years old) was independently associated with new-onset of AF after admission (odds ratio: 1.556, 95% CI: 1.130–2.143). ConclusionsNew-onset AF associated with worsening HF increases with age and is independently-associated with adverse outcome in patients with AHF.

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