ArticleScientific reports2025
Non-invasive scoring systems of liver fibrosis predict prognosis in the cohort with myocardial infarction.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- Myocardial Infarction Without Standard Modifiable Risk Factors From 2025-2040: Forecast Analysis of Multinational, Population-Based Study.JACC. Asia · 2026Article
- Upregulation of T-type voltage-dependent Ca²⁺ channels in activated hepatic stellate cells promotes liver fibrosis in metabolic dysfunction-associated steatohepatitis.Pflugers Archiv : European journal of physiology · 2026Article
- Population estimates, trends, characteristics and prognostic outcomes of cardiovascular-kidney-liver-metabolic health: A population-based study.American journal of preventive cardiology · 2026Article
- I-FABP, citrulline and non-invasive liver dysfunction indices in patients with depression - cross-sectional study results.BMC gastroenterology · 2026Article
- Global Trends and Forecast of Cardiovascular Diseases, Cancer, and Shared Risk Factors: Insights From the GBD 2021.Journal of the American Heart Association · 2025Article
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15 authors.
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Abstract
Patients with liver fibrosis and type 2 diabetes mellitus (T2DM) have an increased risk of cardiovascular events. However, long-term prognosis of liver fibrosis and T2DM after acute myocardial infarction (AMI) remain to be investigated. This study compared clinical characteristics and prognosis of AMI patients with T2DM and evidence of liver fibrosis. Patients were stratified into low, intermediate and high-risk for fibrosis, using serum-based non-invasive tests (NITs): Fibrosis-4 Index (FIB-4), Aspartate Aminotransferase to Platelet Ratio Index (APRI) and Non-alcoholic Fatty Liver Disease Fibrosis Score (NFS). The primary outcome was all-cause mortality, Kaplan-Meier curves were constructed for 5-year all-cause mortality. Cox regression analysis was used to determine the independent predictors of mortality, adjusting for confounders. Out of 3287 AMI patients, 1547 were stratified as high-risk by any NIT (mean follow-up duration 2.7 ± 2.3 years). A dose-response relationship was found with increasing mortality risk for higher APRI and NFS scores. High-risk FIB-4 also predicted mortality significantly (adjusted HR [aHR] 1.791, 95% CI 1.436-2.235, p < 0.001). High-risk FIB-4 and APRI independently predicted mortality regardless of T2DM status, while NFS only predicted mortality in T2DM patients. Following AMI, individuals stratified by FIB-4, APRI, NFS as high-risk for liver fibrosis were associated with excess long-term mortality (aHR 1.780, 95% CI 1.442-2.196, p < 0.001). Hence, readily available NITs may be beneficial in risk prognostication of AMI patients.
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