Novel non-HDLc/HDLc ratio for predicting MASLD: a cross-sectional study in a Chinese health screening population

Abstract

Background: Previous studies have shown a positive correlation between the non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol(non-HDLc/HDLc ratio) and metabolism-associated steatohepatitis (MASLD), suggesting it is a superior predictor of MASLD.The aim of this study is to assess the predictive value of the non-HDLc/HDLc ratio for MASLD.

Methods: In this study, we retrospectively analyzed data from 4,498 adult patients at the Health Management Centre of Guangdong Provincial Hospital of Integrative Medicine, regardless of gender, and the diagnostic criteria for MASLD were derived from guidelines. We used univariate and multivariate logistic regression to verify the relationship between the non-HDLc/HDLc ratio and MASLD and assessed the stability of the results through interaction tests. ROC curve analysis was then employed to compare the diagnostic efficacy of several lipid indices, including the non-HDLc/HDLc ratio, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), total cholesterol (TC), and the composite lipid profile in diagnosing MASLD.

Results: These data suggested that non-HDLc/HDLc, LDL-C, TG, and TC were positively correlated with MASLD, while HDL-C was inversely correlated, even after adjusting for confounders such as gender, age, body mass index, ALT, AST, uric acid, blood glucose, and hypertension. Among them, non-HDLc/HDLc ratio(OR: 2.709, 95% CI: 2.316-3.169, p < 0.001), LDL-C (OR: 1.294, 95% CI: 1.125-1.489, p < 0.001), TG (OR: 2.854, 95% CI: 2.473-3.293, p < 0.001), TC (OR: 1.242, 95% CI: 1.122-1.374, p < 0.001), and HDL-C (OR: 0.074, 95% CI: 0.044-0.123, p < 0.001) were identified. The interaction results showed that gender did not affect lipid levels in MASLD (p > 0.05). ROC analysis confirmed the validity of the non-HDL cholesterol/HDL cholesterol ratio in predicting MASLD incidence, with an AUC of 0.801. Moreover, the composite lipid indices demonstrated greater predictive power for MASLD compared to individual indices (AUC: 0.857), and validation set results were consistent with those of the training set.

Conclusion: The present study revealed that the non-HDLc/HDLc ratio was positively correlated with the development of MASLD, and the ratio was also effective in predicting MASLD.

Keywords: A cross-sectional study; Chinese health screening population; Metabolic dysfunction-associated steatotic liver disease; Non-HDLc/HDLc ratio; Predictive model.