Impact of liver fibrosis score on prognosis in patients with previous myocardial infarction: A prospective cohort study

被引:18
|
作者
Cao, Ye-Xuan [1 ,2 ]
Zhang, Meng [1 ]
Zhang, Hui-Wen [1 ]
Jin, Jing-Lu [1 ]
Liu, Hui-Hui [1 ]
Zhang, Yan [1 ]
Guo, Yuan-Lin [1 ]
Wu, Na-Qiong [1 ]
Zhu, Cheng-Gang [1 ]
Xu, Rui-Xia [1 ]
Gao, Ying [1 ]
Dong, Qian [1 ]
Sun, Jing [1 ]
Li, Jian-Jun [1 ]
机构
[1] Chinese Acad Med Sci, Fu Wai Hosp, Peking Union Med Coll, State Key Lab Cardiovasc Dis,Natl Ctr Cardiovasc, Beijing, Peoples R China
[2] Capital Univ Med Sci, Dept Cardiol, Beijing Chaoyang Hosp, Beijing, Peoples R China
关键词
all-cause mortality; cardiovascular mortality; liver fibrosis score; major adverse cardiac event; myocardial infarction; LONG-TERM OUTCOMES; DISEASE; RISK; MORTALITY; PATHOPHYSIOLOGY; IDENTIFICATION; ASSOCIATION;
D O I
10.1111/liv.14780
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
BACKGROUND & AIMS: Liver fibrosis score (LFS) has been used for predicting the cardiovascular outcomes (CVOs) in diverse populations. However, the association of LFS with CVOs in patients with previous myocardial infarction (MI) remains undetermined. We aimed to examine the prognostic value of LFS in patients with prior MI in a prospective cohort. METHODS: A total of 3718 patients with previous MI were consecutively enrolled from March 2009 to January 2019. Five LFSs including the fibrosis-4 (FIB-4) score, non-alcohol fatty liver disease fibrosis score (NFS), Forns score, HUI score and BARD score were used. The CVOs covered major adverse cardiac event (MACEs), cardiovascular mortality and all-cause mortality. Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS: During a mean follow-up of 47.4 +/- 24.8 months, 431 (11.6%) MACEs occurred. Kaplan-Meier analysis demonstrated that higher LFSs resulted in a significantly higher probability of CVOs. Compared to the lowest score group, multivariable-adjusted HRs (95% CIs) of the highest group of FIB-4, NFS, Forns score, HUI score and BARD score were 1.75 (1.32-2.33), 2.37 (1.70-3.33), 2.44 (1.61-3.73), 1.58 (1.16-2.14) and 1.27 (1.03-1.57) respectively. These LFSs were also independent predictors of cardiovascular mortality and all-cause mortality. Similar results were observed across subgroups analysis. The addition of LFSs to a prediction model significantly increased the C-statistic for CVOs. CONCLUSIONS: The present study firstly demonstrated that LFS could be used as a risk stratification tool for predicting CVOs in patients with previous MI, which should be evaluated further.
引用
收藏
页码:1294 / 1304
页数:11
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