biostudies-literatureLiao GZNational High Level Hospital Clinical Research FundingChinese Academy of Medical Science Innovation Fund for Medical ScienceBeijing Natural Science Foundation343https://www.ebi.ac.uk/biostudies/studies/S-EPMC11495105biostudies-literatureUnknown23(1)<h4>Background</h4>The association between plasma free fatty acid (FFA) and the outcomes in the heart failure (HF) patients remains unclear.<h4>Methods</h4>A cohort study among HF patients was performed. Plasma FFA was analyzed as both a continuous and a categorical variable (grouped by tertiles) to assess its association with composite cardiovascular (CV) death and HF hospitalization (CV death & HHP), CV death alone, and all-cause mortality (ACM) using Cox regression models. Subgroup analyses of HF patients with preserved ejection fraction (HFpEF) and mildly reduced/reduced ejection fraction (HFmrEF/HFrEF) were performed. This work also assessed the effectiveness of combining FFA and NT-pro BNP biomarkers for risk stratification by calculating the concordance index (C-index).<h4>Results</Lipids in health and diseaseFree fatty acids: independent predictors of long-term adverse cardiovascular outcomes in heart failure patients.PMC114951052021-CXGC0872221432022-GSP-GG-9Huang YZhou QLiu HHZhou PZhang JZhang YHLiao GZZhai MWang JXFeng JYHe CHZhuang XFfalseFree fatty acids: independent predictors of long-term adverse cardiovascular outcomes in heart failure patients.<h4>Background</h4>The association between plasma free fatty acid (FFA) and the outcomes in the heart failure (HF) patients remains unclear.<h4>Methods</h4>A cohort study among HF patients was performed. Plasma FFA was analyzed as both a continuous and a categorical variable (grouped by tertiles) to assess its association with composite cardiovascular (CV) death and HF hospitalization (CV death & HHP), CV death alone, and all-cause mortality (ACM) using Cox regression models. Subgroup analyses of HF patients with preserved ejection fraction (HFpEF) and mildly reduced/reduced ejection fraction (HFmrEF/HFrEF) were performed. This work also assessed the effectiveness of combining FFA and NT-pro BNP biomarkers for risk stratification by calculating the concordance index (C-index).<h4>Results</2024-01-01T00:00:00Z2024 Oct2026-07-16T07:24:22.21Z2025-04-07T01:23:39.274ZS-EPMC114951053943894010.1186/s12944-024-02332-5