The Predictive Value of Visceral Adiposity Index and Lipid Accumulation Index for Microalbuminuria in Newly Diagnosed Type 2 Diabetes Patients

Qi, Licui; Kang, Ning; Li, Yong; Zhao, Hang; Chen, Shuchun

doi:10.2147/dmso.s302761

Cited by 5 publications

(4 citation statements)

References 30 publications

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“…Our study identified VAI, TyG and LAP as sensitive predictors of hypogonadism in men with type 2 diabetes, therefore suggesting their routine use to direct the patient to andrological evaluation. Previous studies in males with type 2 diabetes or metabolic syndrome showed that higher values of one or more of these three indices express worst anthropometric parameters, poorer glyco-metabolic control, and elevated cardiometabolic risk and more diabetic vascular complications [ 18 , 34 – 37 ]. In addition, TyG and LAP have been observed as predictors of hypogonadism in middle-elderly male general Chinese population [ 22 , 23 ], and VAI as a marker of cardiometabolic risk in men with congenital hypogonadotropic hypogonadism [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

Cardiometabolic indices predict hypogonadism in male patients with type 2 diabetes

Caretta

Facondo

Mereu

et al. 2022

J Endocrinol Invest

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Purpose To evaluate in men with type 2 diabetes the association of cardiometabolic indices [Visceral Adiposity Index (VAI), Triglyceride Glucose Index (TyG), and lipid accumulation product (LAP)] with total testosterone (TT) levels, and their predictive cut-off values in identifying hypogonadism. Methods 265 consecutive men aged 40–70 years with type 2 diabetes performed an andrological evaluation; metabolic parameters and TT were determined. Receiver operating characteristic (ROC) curves were used to identify cut-off values of cardiometabolic indices in predicting low testosterone (TT < 12 nmol/l). Results VAI, TyG, and LAP were negatively associated with TT levels. The prevalence of hypogonadism in men in the fourth quartiles of VAI, TyG, and LAP was ~ 70.0–75.0% compared to ~ 10.0–17.0% in men in the first quartiles (p < 0.001). The sensitivity and specificity of the three cardiometabolic indices in predicting TT < 12 nmol/l were significantly higher concerning BMI, waist circumference, lipid profile and HbA1c. Cut off values of VAI ≥ 3.985, TyG ≥ 4.925, and LAP ≥ 51.645 predict hypogonadism with good sensitivity and specificity. Conclusion This is the first study evaluating the association of VAI, TyG, and LAP with hypogonadism in men with type 2 diabetes. Alterations in these indices should direct the patients to andrological evaluation.

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Section: Discussionmentioning

confidence: 99%

Cardiometabolic indices predict hypogonadism in male patients with type 2 diabetes

Caretta

Facondo

Mereu

et al. 2022

J Endocrinol Invest

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“…WHR was defined as WC [cm] /HC [cm]. Visceral adiposity index (VAI) was calculated according to Qi et al 17 …”

Section: Methodsmentioning

confidence: 99%

Assessment of metabolic syndrome predictors in relation to inflammation and visceral fat tissue in older adults

Tylutka

Morawin

Walas

et al. 2023

Sci Rep

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The diagnosis of metabolic syndrome (MetS) focuses on the assessment of risk factors such as insulin resistance, dyslipidemia, central adiposity and elevated blood pressure. Evidence suggests that markers of systemic inflammation may also be included in the definition of MetS and play some role in its pathogenesis. The study was designed to evaluate low-grade inflammation status in older adults with MetS in relation to increased body fat tissue and an attempt was made to evaluate new predictors for MetS through the analysis of the ROC Curve. Ninety-six middle-aged (69.2 ± 4.9) individuals from University of Third Age (women n = 75 and men n = 21) were allocated to two groups: without metabolic syndrome (n = 37) and with metabolic syndrome (n = 59) according to International Diabetes Federation criteria in agreement with American Heart Association/National Heart, Lung and Blood Institute 2009. Participants’ current health status was assessed using medical records from a routine follow-up visit to a primary care physician. Statistical analysis was performed using R studio software. Depending on the normal distribution, ANOVA or the Kruskal–Wallis test was used. The optimal threshold value for clinical stratification (cut-off value) was obtained by calculating the Youden index. The AUC was observed to be the highest for a new anthropometric index i.e. lipid accumulation product (0.820). Low-grade inflammation dominated in MetS group (BMI 28.0 ± 4.4 kg/m2, WHR 0.9 ± 0.1, FM 24.7 ± 7.9 kg) where significantly higher values of TNF-α (p = 0.027) and HGMB-1 protein (p = 0.011) were recorded.The optimal threshold values for immunological indices assessed as new predictors of the metabolic syndrome were: 93.4 for TNF-α, 88.2 for HGMB-1 protein and 1992.75 for ghrelin. High AUC values for these indices additionally confirmed their high diagnostic usefulness in MetS.

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“…Weight loss can reverse to some extent the underlying metabolic abnormalities caused by type 2 diabetes, resulting in better glycemic control ( 28 ). Moreover, LAP is also relevant to diabetic complications such as diabetic nephropathy, diabetic retinopathy, and cardiovascular risk ( 29 – 31 ). Considering the high prevalence rate, serious complications, and serious social and economic burden caused by type 2 diabetes, it is very important to find a low-cost, easy-to-operate, and easy-to-calculate indicator to identify diabetes as early as possible and conduct lifestyle or drug intervention if necessary.…”

Section: Discussionmentioning

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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The Predictive Value of Visceral Adiposity Index and Lipid Accumulation Index for Microalbuminuria in Newly Diagnosed Type 2 Diabetes Patients

Cited by 5 publications

References 30 publications

Cardiometabolic indices predict hypogonadism in male patients with type 2 diabetes

Cardiometabolic indices predict hypogonadism in male patients with type 2 diabetes

Assessment of metabolic syndrome predictors in relation to inflammation and visceral fat tissue in older adults

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

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