ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024
Lipoprotein Combine Index as a Better Marker for NAFLD Identification Than Traditional Lipid Parameters.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- An explainable machine learning method for identifying key atherogenic lipid biomarkers in abdominal obesity among the Southern Chinese population.Lipids in health and disease · 2026Article
- Lipoprotein Combine Index Is Associated with Multi-Compartment Oxidative Stress in Clinically Stable Peritoneal Dialysis Patients: A Cross-Sectional Study.Biomedicines · 2026Article
- Association of Composite Metabolic Indices and Oxidative Stress Biomarkers with Coronary Atherosclerosis Detected by CT Angiography in Premenopausal Women with Metabolic Syndrome.Vascular health and risk management · 2026Article
- Article
- Exploring the relationship between novel serum inflammatory markers, non-traditional lipid parameters, and in-stent restenosis after percutaneous coronary intervention: a single-center retrospective study.Frontiers in cardiovascular medicine · 2026Article
- Serum lipid profile as an indicator of disease severity in chronic liver disease: A hospital-based cross-sectional study.Bioinformation · 2026Article
- Association between lipoprotein combine index and all-cause and cardiovascular mortality in patients undergoing peritoneal dialysis: a multicenter retrospective cohort study.Frontiers in nutrition · 2026Article
- Lipoprotein combined index and prevalent hyperuricemia among normolipidemic oilfield workers: a cross-sectional study.Frontiers in endocrinology · 2026Article
- Beyond HOMA-IR: Comparative Evaluation of Insulin Resistance and Anthropometric Indices Across Prediabetes and Type 2 Diabetes Mellitus in Metabolic Syndrome Patients.Life (Basel, Switzerland) · 2025Article
- Triglyceride glucose-weight-adjusted waist index as a cardiovascular mortality predictor: incremental value beyond the establishment of TyG-related indices.Cardiovascular diabetology · 2025Article
- Exploring the association between healthy lifestyle score and atherogenic indices in a general population of Iranian adults.Lipids in health and disease · 2025Article
- Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population.Cardiovascular diabetology · 2025Article
- Gender-specific association between a novel atherogenic index of plasma, metabolic parameters and inflammation among obese adults.BMC endocrine disorders · 2025Article
- Lipoprotein combine index is associated with non-alcoholic fatty liver disease: a 5-year longitudinal cohort study in non-obese Chinese populations with normal lipids.Frontiers in medicine · 2025Article
- Can lipid indices aid in predicting diabetic kidney disease? Findings from a cross-sectional, matched case-control study.PloS one · 2025Article
- Atherogenic Combined Index is Independently Associated with MASLD in Type 2 Diabetes: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The association between traditional lipid parameters and non-alcoholic fatty liver disease (NAFLD) has been extensively discussed. This study aims to evaluate and compare the lipoprotein combine index (LCI) and traditional lipid parameters [total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)] to identify NAFLD. Patients and Methods: The analysis included 14,251 participants from the NAfld in the Gifu Area, Longitudinal Analysis (NAGALA). Logistic regression models were employed to calculate standardized odds ratios (ORs) and 95% confidence intervals (CIs) for assessing and comparing the association of LCI and traditional lipid parameters with NAFLD. Additionally, receiver operating characteristic (ROC) curves were used to calculate the area under the curve (AUC) for LCI and traditional lipid parameters in identifying NAFLD. Results: After adjusting for various confounders, we found that LCI was positively associated with NAFLD (OR=2.25, 95% CI 1.92-2.63), and this association was stronger than that of traditional lipid parameters [OR: TC1.23, TG1.73 LDL-C1.10]. Further subgroup analyses revealed that the association of LCI with NAFLD was stronger than other traditional lipid parameters in all subgroups, including men and women, overweight/obese [body mass index (BMI)≥25 kg/m Conclusion: This study revealed for the first time a positive correlation between LCI and NAFLD. Compared to traditional lipid parameters, LCI has a higher correlation with NAFLD. Additionally, further ROC analysis demonstrated that LCI had higher accuracy in identifying NAFLD compared to traditional lipid parameters, suggesting that LCI may be a better marker for NAFLD identification than traditional lipid parameters.
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