Nonlinear associations of remnant cholesterol/high-density lipoprotein cholesterol ratio with the risk of metabolic-associated fatty liver disease: a cross-sectional study

This study aimed to explore the association between the ratio of remnant cholesterol to high-density lipoprotein cholesterol (RC/HDL-C) and metabolic-associated fatty liver disease (MAFLD). This cross-sectional study included 2,589 participants underwent physical examinations from 2015 to 2017. Logistic regression, restricted cubic spline (RCS), subgroup analysis and receiver operating characteristic (ROC) curve analysis were applied to assess the association between RC/HDL-C ratio and the risk of MAFLD. There is a positive correlation between RC/HDL-C ratio and the risk of MAFLD (P for trend < 0.001). Results from the multivariate logistic regression analysis showed a positive association between RC/HDL-C ratio and MAFLD (Q4 vs. Q1: OR = 5.91, 95%CI: 4.06–8.74). The results remain stable in subgroup analyses. RCS analysis showed a significant non-linear dose-response relationship (P for nonlinear < 0.001) between RC/HDL-C ratio and the risk of MAFLD. ROC analysis indicated that RC/HDL-C had modest discriminative ability for MAFLD (AUC = 0.778, 95%CI: 0.758–0.797). This cross-sectional study found a significant nonlinear positive relationship between RC/HDL-C and MAFLD, and RC/HDL-C showed modest discriminative ability for MAFLD. These findings suggest that RC/HDL-C may serve as a potential risk-related biomarker for MAFLD.

Authors

Institutions

Publication Details

Journal
BMC Gastroenterology
Published
2026-03-16
DOI
https://doi.org/10.1186/s12876-026-04739-z
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nonlinear associations of remnant cholesterol/high-density lipoprotein cholesterol ratio with the risk of metabolic-associated fatty liver disease: a cross-sectional study

Yongfeng Cai, D. C. Chen, Xian‐E Peng, Li Liu et al.
BMC Gastroenterology
Liver Disease Diagnosis and Treatment
article

Nonlinear associations of remnant cholesterol/high-density lipoprotein cholesterol ratio with the risk of metabolic-associated fatty liver disease: a cross-sectional study

Yongfeng Cai, D. C. Chen, Xian‐E Peng, Li Liu, Shiyuan Wang, Wen Si, He Zhang, Yijun Jiang, Shanghua Xu
article en

Abstract

This study aimed to explore the association between the ratio of remnant cholesterol to high-density lipoprotein cholesterol (RC/HDL-C) and metabolic-associated fatty liver disease (MAFLD). This cross-sectional study included 2,589 participants underwent physical examinations from 2015 to 2017. Logistic regression, restricted cubic spline (RCS), subgroup analysis and receiver operating characteristic (ROC) curve analysis were applied to assess the association between RC/HDL-C ratio and the risk of MAFLD. There is a positive correlation between RC/HDL-C ratio and the risk of MAFLD (P for trend < 0.001). Results from the multivariate logistic regression analysis showed a positive association between RC/HDL-C ratio and MAFLD (Q4 vs. Q1: OR = 5.91, 95%CI: 4.06–8.74). The results remain stable in subgroup analyses. RCS analysis showed a significant non-linear dose-response relationship (P for nonlinear < 0.001) between RC/HDL-C ratio and the risk of MAFLD. ROC analysis indicated that RC/HDL-C had modest discriminative ability for MAFLD (AUC = 0.778, 95%CI: 0.758–0.797). This cross-sectional study found a significant nonlinear positive relationship between RC/HDL-C and MAFLD, and RC/HDL-C showed modest discriminative ability for MAFLD. These findings suggest that RC/HDL-C may serve as a potential risk-related biomarker for MAFLD.

BMC Gastroenterology
Fujian Medical University (CN), First Affiliated Hospital of Fujian Medical University (CN)
Reduced inequalities
Openalex Percentile: Top 22%
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.