ArticleFrontiers in cardiovascular medicine2023
Predictive value of the Framingham steatosis index for cardiovascular risk: a nationwide population-based cohort study.
Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Cardiovascular Disease Incidence and Lipid-Lowering Medication Use in Korean Adults With Dyslipidemia: A Nationwide Population-Based Retrospective Cohort Study From 2010 to 2019.Journal of lipid and atherosclerosis · 2026Article
- The Framingham steatosis index as a predictor of advanced CKM syndrome in US adults: Evidence from NHANES 2001 to 2018.Medicine · 2025Article
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- The curvilinear relationship between Framingham Steatosis Index and depression: insights from a nationwide study.Frontiers in psychiatry · 2024Article
- Curvilinear association between Framingham Steatosis Index and chronic kidney disease: a nationwide cross-sectional study.Frontiers in medicine · 2024Article
- National Trends in Rotavirus Enteritis among Infants in South Korea, 2010-2021: A Nationwide Cohort.Children (Basel, Switzerland) · 2023Article
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Abstract
Background: Non-alcoholic fatty liver disease (NAFLD) is common and is associated with cardiovascular (CV) disease and mortality. The Framingham steatosis index (FSI) was recently proposed as a diagnostic marker of NAFLD and was calculated from age, body mass index, triglyceride, aspartate aminotransferase, alanine aminotransferase, diabetes history, and hypertension status. We aimed to evaluate the predictive ability of FSI for CV risk using a large-scale population dataset from the Korean National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS). Methods: Among 514,866 individuals in the NHIS-HEALS, we excluded those who died, had a history of admission due to a CV event, and were heavy drinkers. The final study cohort comprised 283,427 participants. We employed both unadjusted and covariate-adjusted models in Cox proportional hazards regression analyses to determine the association between FSI and major adverse cardiovascular events (MACEs), CV events, and CV mortality. Results: During a median follow-up of 5.9 years, we documented 9,674, 8,798, and 1,602 cases of MACEs, CV events, and CV mortality, respectively. The incidence of MACEs was 1.28%, 2.99%, 3.94%, and 4.82% in the first to fourth quartiles of FSI, respectively. The adjusted hazard ratios (95% confidence interval) for MACEs gradually and significantly increased with the FSI quartiles [1.302 (1.215-1.395) in Q2, 1.487 (1.390-1.590) in Q3, and 1.792 (1.680-1.911) in Q4], following an adjustment for conventional CV risk factors, including age, sex, smoking, drinking, physical activities, low-density lipoprotein cholesterol, estimated glomerular filtration rate, and waist circumference. Participants in the higher quartiles of FSI exhibited a noteworthy increase in the occurrence of CV event. However, upon adjusting for relevant risk factors, the association between FSI and CV mortality did not reach statistical significance. Conclusion: Our study suggests that the FSI, which is a surrogate marker of NAFLD, has a prognostic value for detecting individuals at higher risk of CV events.
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