ArticleNutrients2022
Optimal Obesity- and Lipid-Related Indices for Predicting Metabolic Syndrome in Chronic Kidney Disease Patients with and without Type 2 Diabetes Mellitus in China.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic value of visceral adiposity index in chronic kidney disease: a meta-analysis.Acta diabetologica · 2023Pooled it
- Waist circumference shows a significant association with the risk of noncommunicable diseases: a cross-sectional study from a large community sample in Southeast China.BMC public health · 2026Article
- Chronic kidney disease risk assessment: Findings from backward-looking study using annual health check-up data in Japan.Diabetes, obesity & metabolism · 2025Article
- Evaluating body roundness index and systemic immune inflammation index for mortality prediction in MAFLD patients.Scientific reports · 2025Article
- Development and validation of a nomogram model for predicting postprandial hypertriglyceridemia.Frontiers in nutrition · 2025Article
- Chronic kidney disease combined with metabolic syndrome is a non-negligible risk factor.Therapeutic advances in endocrinology and metabolism · 2024Review
- Relationship between lipid accumulation product and new-onset diabetes in the Japanese population: a retrospective cohort study.Frontiers in endocrinology · 2023Article
- Article
- Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults.Frontiers in endocrinology · 2023Article
- Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults.Frontiers in endocrinology · 2022Article
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11 authors.
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Abstract
Existing obesity- and lipid-related indices are inconsistent with metabolic syndrome (MetS) in chronic kidney disease (CKD) patients. We compared seven indicators, including waist circumference (WC), body mass index (BMI), visceral fat area (VFA), subcutaneous fat area (SFA), visceral adiposity index (VAI), Chinese VAI and lipid accumulation product (LAP), to evaluate their ability to predict MetS in CKD patients with and without Type 2 diabetes mellitus (T2DM) under various criteria. Multivariate logistic regression analysis was used to investigate the independent associations between the indices and metabolic syndrome among 547 non-dialysis CKD patients, aged ≥18 years. The predictive power of these indices was assessed using receiver operating characteristic (ROC) curve analysis. After adjusting for potential confounders, the correlation between VAI and MetS was strongest based on the optimal cut-off value of 1.51 (sensitivity 86.84%, specificity 91.18%) and 2.35 (sensitivity 83.54%, specificity 86.08%), with OR values of 40.585 (8.683-189.695) and 5.076 (1.247-20.657) for males and females with CKD and T2DM. In CKD patients without T2DM, based on the optimal cut-off values of 1.806 (sensitivity 98.11%, specificity 72.73%) and 3.11 (sensitivity 84.62%, specificity 83.82%), the OR values were 7.514 (3.757-15.027) and 3.008 (1.789-5.056) for males and females, respectively. The area under ROC curve (AUC) and Youden index of VAI were the highest among the seven indexes, indicating its superiority in predicting MetS in both male and female CKD patients, especially those with T2DM.
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