ABSTRACT
BACKGROUND: Bleeding risk factors in elderly patients with atrial fibrillation undergoing percutaneous coronary intervention (PCI) are unclear and data on the use of antithrombotic drugs are lacking. We investigated the bleeding risk factors in elderly patients with atrial fibrillation undergoing PCI to help optimize antithrombotic therapy according to bleeding risk. We also investigated the association between the actual use of antithrombotic therapy and bleeding events. METHODS: A retrospective cohort study was conducted on 134 elderly patients with atrial fibrillation who underwent primary PCI at the Department of Cardiology, Showa University Fujigaoka Hospital. The endpoint was a bleeding event within 1-year. Bleeding risk factors were identified using multivariate analysis. The association between the number of antithrombotics and bleeding events was evaluated using the chi-squared test. RESULTS: The mean age of the patients was 76.0 ± 6.2 years. Bleeding events occurred in 41 (30.6%) patients. Age > 80 years (odds ratio [OR]: 2.54, 95% confidence interval [CI]: 1.10-5.85), multivessel disease (OR: 2.76, 95% CI: 1.22-6.23), and history of surgery (OR: 3.03, 95% CI: 1.14-8.06) were identified as bleeding risk factors. The proportion of patients receiving triple therapy was significantly higher in the bleeding group compared to the non-bleeding group (70.7% vs. 27.5%, p < 0.001). CONCLUSIONS: Age > 80, multivessel disease, and history of surgery were found to be risk factors for bleeding in elderly patients with atrial fibrillation undergoing PCI. In addition, dual therapy after PCI in elderly patients at high risk of bleeding should be considered to avoid bleeding events.
ABSTRACT
BACKGROUND: Inappropriate and multiple medications affect the prognosis of patients with acute decompensated heart failure (ADHF). However, in ADHF patients with decreased renal function, there have been no reports on prognostic factors, including medication data, or models for predicting cardiac events. AIM: To develop a model including medication data to predict cardiac events in ADHF patients with decreased renal function. METHOD: This retrospective cohort study included 443 first-time admitted ADHF patients with decreased renal function (estimated glomerular filtration rate < 60 mL/min/1.73 m2 at discharge) in the Showa University Fujigaoka Hospital. The primary outcome was cardiac events within one year after discharge, defined as the composite of HF readmission, HF mortality, and cardiovascular mortality. The model for predicting cardiac events was developed using predictive factors extracted by multivariable analysis. The cardiac events curves were visualized using the Kaplan-Meier method and estimated using a log-rank test. RESULTS: The incidence of cardiac events within one year after discharge was 20.1%. By multivariable analysis, we observed that atrial fibrillation, weight loss < 5%, brain natriuretic peptide ≥ 200 pg/mL, polypharmacy, and beta-blockers use below target dosage were significantly associated with an increased risk of cardiac events. The developed model, the cardiac events rate in the high-risk group was significantly higher than in the low-risk group (41.0 vs. 9.2%, p < 0.001). CONCLUSION: The developed model for predicting cardiac events will be useful in decision-making to support appropriate early management of ADHF patients with decreased renal function.