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

• Published in: Liver international Vol. 41; no. 6; pp. 1294 - 1304
• Main Authors: Cao, Ye‐Xuan, Zhang, Meng, Zhang, Hui‐Wen, Jin, Jing‐Lu, Liu, Hui‐Hui, Zhang, Yan, Guo, Yuan‐Lin, Wu, Na‐Qiong, Zhu, Cheng‐Gang, Xu, Rui‐Xia, Gao, Ying, Dong, Qian, Sun, Jing, Li, Jian‐Jun
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.06.2021
• Subjects: all‐cause mortality; Cardiovascular diseases; cardiovascular mortality; Cohort analysis; Confidence intervals; Fatty liver; Fibrosis; Health hazards; Heart attacks; Liver; Liver diseases; liver fibrosis score; major adverse cardiac event; Mortality; Myocardial infarction; Prediction models; Statistical analysis; Statistical models; Subgroups; cardiovascular mortality; major adverse cardiac event; liver fibrosis score; all-cause mortality; myocardial infarction
• ISSN: 1478-3223; 1478-3231
• DOI: 10.1111/liv.14780

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.