Impact of the Fibrosis-4 Index on Risk Stratification of Cardiovascular Events and Mortality in Patients with Atrial Fibrillation: Findings from a Japanese Multicenter Registry
2020; Multidisciplinary Digital Publishing Institute; Volume: 9; Issue: 2 Linguagem: Inglês
10.3390/jcm9020584
ISSN2077-0383
AutoresYuki Saito, Yasuo Okumura, Koichi Nagashima, Daisuke Fukamachi, Katsuaki Yokoyama, Naoya Matsumoto, Eizo Tachibana, Keiichiro Kuronuma, Koji Oiwa, Michiaki Matsumoto, Toshihiko Nishida, Toshiaki Kojima, Shoji Hanada, Kazumiki Nomoto, Kazumasa Sonoda, Ken Arima, Fumiyuki Takahashi, Tomobumi Kotani, Kimie Ohkubo, Seiji Fukushima, Satoru Itou, Kunio Kondo, Hideyuki Ando, Yasumi Ohno, Motoyuki Onikura, Atsushi Hirayama,
Tópico(s)Cardiovascular Function and Risk Factors
ResumoLiver diseases drive the development and progression of atrial fibrillation (AF). The Fibrosis-4 (FIB4) index is a non-invasive scoring method for detecting liver fibrosis, but the prognostic impact of using it for AF patients is still unknown. Herein, we evaluated using the FIB4 index as a risk assessment tool for cardiovascular events and mortality in patients with AF.We performed a post-hoc analysis of a prospective, observational multicenter study. A total of 3067 patients enrolled in a multicenter Japanese registry were grouped as first tertile (FIB4 index < 1.75, n = 1022), second tertile (1.75 ≤ FIB4 index < 2.51, n = 1022), and third tertile (FIB4 index ≥ 2.51, n = 1023).The third tertile had statistically significant results: older age, lower body mass index, increased heart failure prevalence, and lower clearances of hemoglobin and creatinine (all p < 0.05). During the follow-up period, incidences of major bleeding, cardiovascular events, and all-cause mortality were significantly higher for the third tertile (all p < 0.05). After multivariate adjustment, the third tertile associated independently with cardiovascular events (HR 1.72; 95% CI 1.31-2.25) and all-cause mortality (HR 1.43; 95% CI 1.06-1.95). Adding the FIB4 index to a baseline model with CHA2DS2-VASc score improved the prediction of cardiovascular events and all-cause mortality, as shown by the significant increase in the C-statistic (all p < 0.05), net reclassification improvement (all p < 0.001), and integrated discrimination improvement (all p < 0.001). A FIB4 index ≥ 2.51 most strongly associated with cardiovascular events and all-cause mortality in AF patients with high CHADS2 scores (all p < 0.001).The FIB4 index is independently associated with risks of cardiovascular events and all-cause mortality in AF patients.
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