&lt;p&gt;Comparison of Novel Metabolic Indices in Estimation of Chronic Kidney Diseases in a Southern Chinese Population&lt;/p&gt;

Chen, Tong; Wang, Xuan; Wang, Xin; Chen, Haishan; Tang, Hongjuan; Feng, Ling; Xiang, Zhicong; Zou, Hequn; Shao, Xiaofei

doi:10.2147/dmso.s286565

Cited by 17 publications

(10 citation statements)

References 51 publications

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“…LAP presented as a surrogate marker of visceral adiposity, was reportedly a powerful predictor of prediabetes and CKD, respectively. 9 , 16 , 17 A prospective study in Europe enrolled 148 women with polycystic ovary syndrome proved that elevated LAP was associated with prediabetes. 18 Another community-based cross-sectional survey involving 1777 Chinese participants indicated that LAP showed a better performance in discriminating IFG risk than BMI.…”

Section: Discussionmentioning

confidence: 99%

Lipid Accumulation Product is Associated with Urinary Albumin-creatinine Ratio in Chinese Prediabitic Population: A Report from the REACTION Study

Liu¹,

Wang²,

Wang³

et al. 2021

DMSO

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Background Lipid accumulation product (LAP) as a powerful marker of visceral obesity is an independent risk factor of chronic kidney disease. The present study attempted to explore the association between LAP and albuminuria in prediabetic individuals. Methods We conducted a cross-sectional study and enrolled 26,529 participants with prediabetes over 40 years old with prediabetes from seven provinces in China. LAP was calculated from waist circumference and fasting triglycerides. Elevated albuminuria was defined by urinary albumin-creatinine ratio (uACR) ≥30 mg/g. Propensity score matching was applied to reduce bias, comparison between LAP and other traditional visceral obesity indices was performed and multiple logistic regression models were conducted to assess the association between LAP and albuminuria in the prediabetic population. Results Individuals with uACR ≥30 mg/g were older and had higher BP, BMI, WC, TG, fasting insulin, glycohemoglobin and LAP, as well as lower eGFR and HDL level. Multiple logistic regression analysis showed elevated LAP was associated with increased odds of albuminuria (OR [95%CI] Q2 vs Q1 1.09 [0.94, 1.27], OR [95%CI] Q3 vs Q1 1.13 [0.97, 1.31], OR [95%CI] Q4 vs Q1 1.42 [1.21, 1.67], P for trend=0.018), and superior over waist-to-hip ratio or waist-to-height ratio. Stratification indicated that the prediabetic population with higher LAP level and characterized by female gender, middle age, being overweight, and rise in blood pressure were more likely to have increased uACR. Conclusion Elevated level of LAP was associated with increased albuminuria in the prediabetic population in China.

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Section: Discussionmentioning

confidence: 99%

Lipid Accumulation Product is Associated with Urinary Albumin-creatinine Ratio in Chinese Prediabitic Population: A Report from the REACTION Study

Liu¹,

Wang²,

Wang³

et al. 2021

DMSO

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“…Tang Chen et al [ 40 ] found that the TyG index is more valuable than VAI and LAP for predicting CKD in the general population. Moreover, the mentioned study on the general Chinese population showed that LAP and VAI were not independent of albuminuria; however, in our study these associations were significant in all models.…”

Section: Discussionmentioning

confidence: 99%

Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes

Nabipoorashrafi¹,

Adeli²,

Seyedi³

et al. 2023

Eur J Med Res

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Purpose Diabetes is the leading cause of kidney disease. Up to 40% of the population with diabetes experience diabetic kidney disease (DKD). The correlation of DKD with insulin resistance (IR) indices has been shown in previous studies. In this study, the objective was to evaluate surrogate IR indices, including the Triglyceride-Glucose (TyG) index, Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) to find the most valuable index for the correlation between albuminuria and IR in the type 2 diabetes (T2D) population. Albuminuria is defined as urine albumin excretion of > 30 mg/day. Methods In this cross-sectional study, 2934 participants were enrolled and evaluated for urinary albumin excretion, and albuminuria was detected in 526 of the entries. The logistic regression models and Receiver Operating Characteristic (ROC) curve analysis were performed to assess the relationship of TyG index, VAI, LAP, and HOMA-IR's with albuminuria in patients with T2D. Results The TyG index had the highest association (OR 1.67) with the presence of albuminuria in patients with T2D, followed by HOMA-IR (OR 1.127), VAI (OR 1.028), and LAP (OR 1.004). These four indices remained independent after adjustment for multiple confounders. Based on the ROC curve, TyG revealed the best area under the curve (AUC) for revealing albuminuria with sufficient accuracy (AUC: 0.62) in comparison with other measured indices. The calculated TyG index cut-off point for the presence of albuminuria was 9.39. Conclusion Among the indices, TyG index had the most significant correlation with albuminuria in patients with T2D.

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“…IgAN is the most common primary GN worldwide, but the critical mechanism is not yet clear [ 2 ]. For decades, increasing evidence has shown that IR, a well-established hallmark of metabolic disorders and systemic inflammation, may play an important role in the progression of renal impairment [ 22 , 23 ], whereas the relationship between TyG and IgAN progression remains unknown.…”

Section: Discussionmentioning

confidence: 99%

Triglyceride–Glucose Index May Predict Renal Survival in Patients with IgA Nephropathy

Qin

Tan

Wang

et al. 2022

JCM

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Background: The triglyceride–glucose (TyG) index is a simple, novel and reliable surrogate marker of insulin resistance. However, evidence for the prognostic impact of an elevated TyG index on IgA nephropathy (IgAN) is limited. Therefore, we evaluated the relationship between the TyG index and the risk of renal progression in IgAN. Method: This cohort study involved biopsy-proven IgAN between January 2009 and December 2018 in West China Hospital, in which patients were assigned to two groups based on the cut-off value of TyG using receiver operating characteristic (ROC) curves. A 1:1 matched-pair analysis was established to optimize the bias in IgAN by propensity score matching (PSM). The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The composite endpoint was defined by eGFR decreased ≥50% of the baseline level, end-stage kidney disease (ESKD), renal transplantation and/or death. Univariable and multivariable Cox proportional hazard models were applied to confirm the predictive value of the optimal marker. Results: Before PSM, a total of 1210 participants were ultimately included. During a median follow-up period of 55.8 months (range 37.20–79.09 months), 129 participants progressed to the composite endpoint (10.7%). After PSM, 386 patients were enrolled in the matched cohort, of whom 34 (9.3%) patients reached the endpoints. Based on the cut-off value of the TyG index, patients were divided into the low TyG index group (TyG ≤ 8.72, n = 690) and the high TyG index group (TyG > 8.72, n = 520). Further analysis demonstrated that a higher TyG index was significantly associated with a higher risk of reaching composite endpoints in IgAN patients in both the unmatched and matched cohorts (before PSM: HR 2.509, 95% CI 1.396–4.511, p = 0.002; after PSM: HR 2.654, 95% CI 1.299–5.423, p = 0.007). Conclusion: A high TyG index is associated with a higher risk of renal progression.

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<p>Comparison of Novel Metabolic Indices in Estimation of Chronic Kidney Diseases in a Southern Chinese Population</p>

Cited by 17 publications

References 51 publications

Lipid Accumulation Product is Associated with Urinary Albumin-creatinine Ratio in Chinese Prediabitic Population: A Report from the REACTION Study

Lipid Accumulation Product is Associated with Urinary Albumin-creatinine Ratio in Chinese Prediabitic Population: A Report from the REACTION Study

Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes

Triglyceride–Glucose Index May Predict Renal Survival in Patients with IgA Nephropathy

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