Optimal Obesity- and Lipid-Related Indices for Predicting Metabolic Syndrome in Chronic Kidney Disease Patients with and without Type 2 Diabetes Mellitus in China

Li, Hangtian; Wang, Qian; Ke, Jianghua; Lin, Wenwen; Luo, Yayong; Yao, Jin; Zhang, Weiguang; Zhang, Li; Duan, Shuwei; Dong, Zheyi; Chen, Xiangmei

doi:10.3390/nu14071334

Cited by 6 publications

(5 citation statements)

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“…In addition, VAI reflects abdominal fat distribution and dyslipidemia and is associated with insulin resistance (IR), abnormal glucose balance, and an increased risk of cardiovascular disease in adults (43,44). Our previous study in patients with chronic kidney disease found that VAI had a good ability to predict MetS (45), which is consistent with the findings of this study. TYG, a product of TG and FPG, is a new visceral fat assessment tool that is associated with IR (46,47).…”

Section: Discussionsupporting

confidence: 90%

Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults

Duan

Zhang²,

Li³

et al. 2022

Front. Endocrinol.

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Background and objectiveMetabolic syndrome (MetS) is an important risk factor for cardiovascular complications and kidney damage. Obesity- and lipid-related indices are closely related to MetS, and different indices have different predictive abilities for MetS. This study aimed to evaluate the predictive value of eight obesity- and lipid-related indicators, namely, body mass index (BMI), lipid accumulation product (LAP), body roundness index (BRI), Chinese visceral adiposity index (CVAI), body adiposity index (BAI), abdominal volume index (AVI), triglyceride glucose index (TYG), and visceral adiposity index (VAI), for MetS.MethodsA total of 1,452 relatively healthy people in Beijing were enrolled in 2016, and the correlation between the eight indicators and MetS was analyzed by multivariate logistic regression. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to analyze the predictive ability of the eight indicators for MetS. The Delong test was used to compare the AUC values of the eight indicators. MetS was defined according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2020 edition), the revised National Cholesterol Education Program Adult Treatment Group (NCEP-ATPIII), and the International Diabetes Federation (IDF).ResultsUsing these three sets of criteria, LAP, TYG, CVAI, and VAI, which are based on blood lipids, had higher AUC values for MetS prediction than BMI, BRI, AVI, and BAI, which are based on anthropometry. LAP had the highest AUC values of 0.893 (0.874–0.912), 0.886 (0.869–0.903), and 0.882 (0.864–0.899), separately, based on the three sets of criteria.ConclusionThe eight obesity- and lipid-related indicators had screening value for MetS in relatively healthy people, and of the eight indicators, LAP performed the best.

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Section: Discussionsupporting

confidence: 90%

Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults

Duan

Zhang²,

Li³

et al. 2022

Front. Endocrinol.

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“…On the other hand, the study was conducted in the middle-aged and elderly population, whereas our study included people aged 18-79 years. A survey of the Chinese population suggested that VAI outperformed by LAP, WC and BMI as a predictor of metabolic syndrome ( 9 ). Our results show that LAP has the largest AUC (0.7922, 95% CI: 0.7396-0.8447 in men, 0.713, 95% CI: 0.6806-0.7454 in women) and higher predictive value compared to other metrics.…”

Section: Discussionmentioning

confidence: 99%

“…showed that WHtR was better when predicting metabolic syndrome ( 8 ). The value of VAI for diagnosing diabetes has been reported in the literature to be higher than BMI and WC ( 9 ). Another study among Malaysian vegetarians showed that LAP is more strongly related to metabolic syndrome than other indicators ( 10 ).…”

Section: Introductionmentioning

confidence: 99%

Relationship between lipid accumulation product and new-onset diabetes in the Japanese population: a retrospective cohort study

Liu

Zhao

et al. 2023

Front. Endocrinol.

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BackgroundDiabetes has become a global public health problem. Obesity has been established as a risk factor for diabetes. However, it remains unclear which of the obesity indicators (BMI, WC, WhtR, ABSI, BRI, LAP, VAI) is more appropriate for monitoring diabetes. Therefore, the objective of this investigation is to compare the strength of the association of these indicators and diabetes and reveal the relationship between LAP and diabetes.Methods15,252 people took part in this research. LAP was quartered and COX proportional risk model was applied to explore the relationship between LAP and new-onset diabetes. Smooth curve fitting was employed to investigate the non-linear link between LAP and diabetes mellitus. Finally, the receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the aforementioned indicators for diabetes.ResultsAfter adjusting for confounding factors, multiple linear regression analysis showed that each unit increase in LAP was associated with a 76.8% increase in the risk of developing diabetes (HR=1.768, 95% CI: 1.139 to 2.746, P=0.011). In addition, LAP predicted new-onset diabetes better than other indicators, and the AUC was the largest [HR: 0.713, 95% CI: 0.6806-0.7454, P<0.001, in women; HR: 0.7922, 95% CI: 0.7396-0.8447; P<0.001, in men]. When LAP was used as a lone predictor, its AUC area was largest both men and women. However, after adding classical predictors (FPG, HbA1c, SBP, exercise, age) to the model, the LAP is better than the ABSI, but not better than the other indicators when compared in pairs.ConclusionsHigh levels of LAP correlate very strongly with diabetes and are an important risk factor for diabetes, especially in women, those with fatty liver and current smokers. LAP was superior to other indicators when screening for diabetes susceptibility using a single indicator of obesity, both in men and in women. However, when obesity indicators were added to the model together with classical predictors, LAP did not show a significant advantage over other indicators, except ABSI.

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“…Previous studies have found that WC may better reflect the risk of obesity-associated diseases compared to BMI (37). Li et al found that WC was more effective than BMI in predicting metabolic syndrome in patients with T2DM (38). A prospective cohort study of 11,714 participants suggested that increased WC might result in blood pressure elevation even without increase in BMI (39).…”

Section: Relationship Between Bmi/wc/whtr and Mafld/nafldmentioning

confidence: 99%

Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults

et al. 2023

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IntroductionMetabolic dysfunction-associated fatty liver disease (MAFLD), formerly known as non-alcoholic fatty liver disease (NAFLD), has become the most common chronic liver disease worldwide. We aimed to explore the gender-related association between nine indexes (BMI/WC/VAI/LAP/WHtR/TyG/TyG-BMI/TyG-WC/TyG-WHtR) and MAFLD/NAFLD and examine their diagnostic utility for these conditions.MethodsEligible participants were screened from the 2017-2018 cycle data of National Health and Nutrition Examination Survey (NHANES). Logistic regression and receiver operating characteristic (ROC) curve were used to assess the predictive performance of 9 indexes for MAFLD/NAFLD.ResultsAmong the 809 eligible individuals, 478 had MAFLD and 499 had NAFLD. After adjusting for gender, age, ethnicity, FIPR and education level, positive associations with the risk of MAFLD/NAFLD were found for all the nine indexes. For female, TyG-WHtR presented the best performance in identifying MAFLD/NAFLD, with AUC of 0.845 (95% CI = 0.806-0.879) and 0.831 (95% CI = 0.791-0.867) respectively. For male, TyG-WC presented the best performance in identifying MAFLD/NAFLD, with AUC of 0.900 (95% CI = 0.867-0.927) and 0.855 (95% CI = 0.817-0.888) respectively.ConclusionBMI/WC/VAI/LAP/WHtR/TyG/TyG-BMI/TyG-WC/TyG-WHtR are important indexes to identify the risk of MAFLD and NAFLD.

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Optimal Obesity- and Lipid-Related Indices for Predicting Metabolic Syndrome in Chronic Kidney Disease Patients with and without Type 2 Diabetes Mellitus in China

Cited by 6 publications

References 40 publications

Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults

Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults

Relationship between lipid accumulation product and new-onset diabetes in the Japanese population: a retrospective cohort study

Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults

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