1. Remnant cholesterol and its variability independent of low density lipoprotein cholesterol predict metabolic dysfunction associated steatotic liver disease
- Author
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Yuting Sun, Xinlei Miao, Manling Hu, Xiaoling Xie, Shuang Liu, Ziping Song, Jiayi Deng, Fei Xu, Meng Li, Yangxuan He, and Song Leng
- Subjects
Primary prevention ,Visit-to-visit variability ,Participation in healthy check-ups ,Novel lipid biomarkers ,Joint analysis ,Medicine ,Science - Abstract
Abstract This study aimed to determine whether remnant cholesterol (RC) and its variability can predict the onset of metabolic dysfunction-associated steatotic liver disease (MASLD) independently of low-density lipoprotein cholesterol (LDL-C) levels. A longitudinal cohort study involving 43,065 participants who underwent at least two physical examinations was conducted. This study used Cox proportional hazards models to assess the relationships among RC quartile levels (Q1–Q4), visit-to-visit variability, and the risk of MASLD. This variability was quantified using several metrics: standard deviation (SD), logSD, average real variability (ARV), logARV, mean absolute deviation (MAD), and logMAD. Concurrently, this study utilized a combined analysis of RC and LDL-C groups to assess the independent risk of MASLD associated with RC. During a mean visit-to-visit of 3.19 years (SD 2.06 years), 8374 patients (19.45%) developed MASLD. Compared with Q1, Q4 was associated with a significantly greater risk of MASLD (hazard ratio [HR] 1.309, 95% confidence interval [CI] 1.220–1.403, P
- Published
- 2025
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