ArticleFrontiers in endocrinology2024
Association between the ZJU index and risk of new-onset non-alcoholic fatty liver disease in non-obese participants: a Chinese longitudinal prospective cohort study.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 14 citations in OpenAlex.
- Exploring the oral microbiome diversity and genus signatures associated with a novel non-invasive metabolic indicator: a cross-sectional study.The Saudi dental journal · 2026Article
- Association between the Zhejiang University index and metabolic dysfunction-associated fatty liver disease as analyzed in National Health and Nutrition Examination Survey: A retrospective observational study.The Journal of international medical research · 2026Observational
- Association of the GLM7 composite metabolic index with gestational diabetes mellitus in early pregnancy: a secondary analysis of a Korean prospective pregnancy cohort.Frontiers in nutrition · 2026Article
- Surveying the features of screening strategies for non-alcoholic fatty liver disease: A scoping review.Journal of education and health promotion · 2026Review
- Associations of the Zhejiang University (ZJU) index with reproductive outcomes in women with polyendocrine metabolic ovarian syndrome: aFrontiers in nutrition · 2026Article
- Association between the Zhejiang University index and hyperuricemia among adults with type 2 diabetes in China.Frontiers in endocrinology · 2026Article
- From fatty liver indices to the Zhejiang University index: Re-shaping risk stratification of metabolic liver disease in diabetes.World journal of diabetes · 2025Article
- Analysis of the efficacy of the ZJU index and triglyceride‒glucose product index in identifying obstructive sleep apnea hypoventilation syndrome in patients with metabolic syndrome.Hormones (Athens, Greece) · 2025Article
- Development and validation of a new diagnostic prediction model for NAFLD based on machine learning algorithms in NHANES 2017-2020.3.Hormones (Athens, Greece) · 2025Article
- Association Between Bioimpedance-Determined Metabolic Age and MASLD Risk Scores in Spanish Workers.Metabolites · 2025Article
- ZJU index as a predictive biomarker of gestational diabetes mellitus: a prospective cohort analysis.Frontiers in nutrition · 2025Article
- Analysis of the Association Between TG/HDL, TyG, TyG-BMI, and ZJU Indices with Metabolic Dysfunction-Associated Fatty Liver Disease in Patients with Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Establishment and evaluation of a novel practical tool for the screening of metabolic dysfunction-associated steatotic liver disease in patients with type 2 diabetes mellitus.Frontiers in nutrition · 2025Article
- Nonlinear association of a composite metabolic index (ZJU index) with hypertension: a cross-sectional study of NHANES 2003-2018.Frontiers in cardiovascular medicine · 2025Article
- Association between ZJU index and gallstones in US adult: a cross-sectional study of NHANES 2017-2020.BMC gastroenterology · 2024Article
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9 authors at 2 institutions in 1 country.
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Abstract
Background: Non-alcoholic fatty liver disease (NAFLD) is increasingly observed in non-obese individuals. The ZJU (Zhejiang University) index has been established as a new and efficient tool for detecting NAFLD, but the relationship between the ZJU index and NAFLD within non-obese individuals still remains unclear. Methods: A Results: A total of 12,127 were included in this study, and 2,147 participants (17.7%) developed NAFLD in 5 years follow-up. Participants in higher ZJU quartiles tended to be female and have higher liver enzymes (including ALP, GGT, ALT, AST), GLU, TC, TG, LDL and higher NAFLD risk. Hazard Ratios (HR) and 95% confidence intervals (CI) for new-onset NAFLD in Q2, Q3, and Q4 were 3.67(2.43 to 5.55), 9.82(6.67 to 14.45), and 21.67(14.82 to 31.69) respectively in the fully adjusted model 3. With increased ZJU index, the cumulative new-onset NAFLD gradually increased. Significant linear associations were observed between the ZJU index and new-onset NAFLD (p for trend all<0.001). In the subgroup analysis, we noted a significant interaction in sex, with HRs of 3.27 (2.81, 3.80) in female and 2.41 (2.21, 2.63) in male (P for interaction<0.01). The ZJU index outperformed other indices with an area under the curve (AUC) of 0.823, followed by AIP (AUC=0.747) and RLP-C (AUC=0.668). Conclusion: The ZJU index emerges as a promising tool for predicting NAFLD risk in non-obese individuals, outperforming other existing parameters including AIP and RLP-C. This could potentially aid in early detection and intervention in this specific demographic.
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