ArticleBMC gastroenterology2025
Potential predictive role of Non-HDL to HDL Cholesterol Ratio (NHHR) in MASLD: focus on obese and type 2 diabetic populations.
Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Non-HDL-to-HDL-cholesterol ratio and metabolic dysfunction-associated steatotic liver disease: a systematic review and meta-analysis.BMC gastroenterology · 2026Pooled it
- The development and evaluation of nine non-conventional lipid parameters for metabolic dysfunction-associated fatty liver disease in Chinese medical health examination adults: a single-center retrospective study.Frontiers in nutrition · 2026Article
- Microvascular complications of type 2 diabetes with or without MASLD: the EPSOMIP study, a primary care cohort study.BMC primary care · 2025Observational
- Sex Differences in Patients with MASLD and Their Association with Cardiometabolic Risk Factors: Insights from the Polish Gallstone Surgery Registry.Journal of clinical medicine · 2025Article
- Assessing the association between the non-HDL to HDL cholesterol ratio and NAFLD in Chinese adults: concentrate on gout populations.Frontiers in nutrition · 2025Article
- The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio is associated with early onset type 2 diabetes with NAFLD: a cross-sectional study in China.Frontiers in nutrition · 2025Article
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7 authors.
Funding
Abstract
introductionThis cross-sectional study was conducted to examine the association between the ratio of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol (NHHR) and metabolic dysfunction-associated steatotic liver disease (MASLD), particularly in populations with obesity and type 2 diabetes (T2D).
methodsThe analysis included 3784 participants who were 20 years and older, using data from the National Health and Nutrition Examination Survey (NHANES) 2017-2018. The prevalence of MASLD was determined using multivariable logistic regression analysis, which calculated odds ratios (ORs) and 95% confidence intervals (CIs). Conducted was an analysis employing a smooth curve fitting approach to explore the potential nonlinear association between NHHR and MASLD. Subgroup analyses were performed based on age, sex, body mass index (BMI) and T2D status to evaluate the robustness of the results, with interaction tests conducted.
resultsNHHR showed a consistently positive association with MASLD across all models. In the fully adjusted model, compared with the low NHHR group, participants in the middle and high NHHR group were associated with higher prevalence of MASLD (OR = 1.51, 95%CI = 1.25-1.83, p < 0.001, OR = 1.97, 95%CI = 1.62-2.41, p < 0.001, respectively). This positive relationship was significant across all subgroups, confirming a robust association between NHHR and MASLD.
conclusionsThis cross-sectional study found a significant linear positive relationship between NHHR and MASLD, which remained significant across different age, sex, BMI and T2D groups. These findings suggest that NHHR may have the potential to serve as a predictor for screening MASLD in populations with obesity or T2D.
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