Lipid Accumulation Product Combined With Urine Glucose Excretion Improves the Efficiency of Diabetes Screening in Chinese Adults

BackgroundTo compare the efficacy of lipid accumulation product (LAP) and urine glucose excretion (UGE) in predicting diabetes and evaluate whether the combination of LAP and UGE would help to improve the efficacy of using LAP alone or UGE alone in identifying diabetes.MethodsData from 7485 individuals without prior history of diabetes who participated in a cross-sectional survey in Jiangsu, China, were analyzed. Each participant underwent an oral glucose-tolerance test. Operating characteristic curves (ROC) and logistic regression analyses were used to evaluate the performance of LAP and UGE in identification of newly diagnosed diabetes (NDM) and prediabetes (PDM).ResultsFor subjects with NDM, the area under the ROC curve was 0.72 for LAP and 0.85 for UGE, whereas for PDM, these values were 0.62 and 0.61, respectively. Furthermore, LAP exhibited a comparable sensitivity with UGE in detecting NDM (76.4% vs 76.2%, p = 0.31). In predicting PDM, LAP showed a higher sensitivity than UGE (66.4% vs 42.8%, p < 0.05). The combination of LAP and UGE demonstrated a significantly higher sensitivity than that of LAP alone and UGE alone for identification of NDM (93.6%) and PDM (80.1%). Moreover, individuals with both high LAP and high UGE had significantly increased risk of NDM and PDM than those with both low LAP and low UGE.ConclusionsThe combination of LAP and UGE substantially improved the efficacy of using LAP and using UGE alone in detecting diabetes, and may be a novel approach for mass screening in the general population.

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Urine Glucose Excretion Attenuates the Association Between Lipid Accumulation Product and Serum Uric Acid in Subjects with Prediabetes

Diabetes Metabolic Syndrome and Obesity Targets and Therapy ◽

10.2147/dmso.s255908 ◽

2020 ◽

Vol Volume 13 ◽

pp. 2297-2305

Author(s):

Juan Chen ◽

Yu Liu ◽

Haijian Guo ◽

Bei Wang ◽

Zilin Sun ◽

...

Keyword(s):

Uric Acid ◽

Serum Uric Acid ◽

Lipid Accumulation ◽

Lipid Accumulation Product ◽

Urine Glucose ◽

Urine Glucose Excretion ◽

Glucose Excretion

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The “Lipid Accumulation Product” Is Associated with 2-Hour Postload Glucose Outcomes in Overweight/Obese Subjects with Nondiabetic Fasting Glucose

International Journal of Endocrinology ◽

10.1155/2015/836941 ◽

2015 ◽

Vol 2015 ◽

pp. 1-8 ◽

Cited By ~ 4

Author(s):

Alexis Elias Malavazos ◽

Emanuele Cereda ◽

Federica Ermetici ◽

Riccardo Caccialanza ◽

Silvia Briganti ◽

...

Keyword(s):

Insulin Resistance ◽

Glucose Tolerance ◽

Lipid Accumulation ◽

Fasting Glucose ◽

Tolerance Test ◽

Continuous Variable ◽

Oral Glucose ◽

Model Assessment ◽

Lipid Accumulation Product ◽

Adult Age

“Lipid accumulation product” (LAP) is a continuous variable based on waist circumference and triglyceride concentration previously associated with insulin resistance. We investigated the accuracy of LAP in identifying oral glucose tolerance test (OGTT) abnormalities and compared it to the homeostasis model assessment of insulin resistance (HOMA-IR) in a population of overweight/obese outpatients presenting with nondiabetic fasting glucose. We studied 381 (male: 23%) adult (age: 18–70 years) overweight/obese Caucasians (body mass index: 36.9 ± 5.4 Kg/m2) having fasting plasma glucose < 7.0 mmol/L. OGTT was used to diagnose unknown glucose tolerance abnormalities: impaired glucose tolerance (IGT) and type-2 diabetes mellitus (T2-DM). According to OGTT 92, subjects had an IGT and 33 were diagnosed T2-DM. Logistic regression analysis detected a significant association for both LAP and HOMA-IR with single (IGT and T2-DM) and composite (IGT + T2-DM) abnormal glucose tolerance conditions. However, while the association with diabetes was similar between LAP and HOMA-IR, the relationship with IGT and composite outcomes by models including LAP was significantly superior to those including HOMA-IR (P=0.006andP=0.007, resp.). LAP seems to be an accurate index, performing better than HOMA-IR, for identifying 2-hour postload OGTT outcomes in overweight/obese patients with nondiabetic fasting glucose.

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A novel indicator, relative children’s lipid accumulation product (RCLAP) for metabolic syndrome

10.21203/rs.3.rs-91096/v1 ◽

2020 ◽

Author(s):

Li Zhang ◽

Zizhe Zhang ◽

Bangxuan Wang ◽

Yongting Yuan ◽

Lili Sun ◽

...

Keyword(s):

Children And Adolescents ◽

Lipid Accumulation ◽

Vigorous Physical Activity ◽

Roc Curves ◽

Chinese Children ◽

Cluster Sampling ◽

Activity Time ◽

Lipid Accumulation Product ◽

Increased Risk ◽

Chinese Children And Adolescents

Abstract BackgroundThe children’s lipid accumulation product (CLAP) was associated with MS in Chinese children and adolescents. The study was to develop a more effective indicator, relative children’s lipid accumulation product （RCLAP）associated with MS reflect the density of lipid accumulation among Chinese children and adolescents. MethodsA stratified cluster sampling method was used to recruit 683 students aged 8-15 years in this study. The presence of MS was defined according to the NCEP-ATP III criteria. The t-test, chi-square test, logistic regression models were used to analyze the associations of SBMI, SWHtR, SlnCLAP, SRCLAP-H, SRCLAP-SH, RCLAP-W with MS. Receiver Operating Characteristic (ROC) curves was used to evaluate the predictive efficiency of above indexes for predicting MS. ResultsThe overall prevalence of MS was 4.8% (boys 6.6%, girls 2.8%). In girls, after adjusting for sedentary activity time, WHtR, BMI, CLAP, RCLAP-H, RCLAP-SH and RCLAP-W significantly increased risk of MS (OR(95%CI):15.79 (3.15-79.21), 3.73 (0.87-15.95), Null, 96.13 (11.11-831.97), 96.13 (11.11-831.97), 18.28 (4.24-78.87), respectively). In boys, after adjusting for ages and moderate-to-vigorous physical activity time, WHtR, BMI, CLAP, RCLAP-H, RCLAP-SH and SRCLAP-W significantly increased risk of MS (OR(95%CI): 37.43(11.67-120.10), 68.33(18.51-252.20), 105.86(21.99-509.68), 171.75(33.60-878.00), 133.18(27.65-641.39), 50.13(15.48-162.37, respectively). The AUCs of RCLAP-H and RCLAP-SH for predicting MS were 0.950, 0.948 in girls, and 0.952, 0.952 in boys, which were higher than these of BMI, WHtR, CLAP and RCLAP-W.ConclusionThe relative children，s lipid accumulation products（RCLAP-H and RCLAP-SH ) were more effective indicators for predicting MS than BMI, WHtR and CLAP in Chinese children and adolescents.

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Associations of Insulin Levels and Insulin Resistance With Urine Glucose Excretion Independent of Blood Glucose in Chinese Adults With Prediabetes and Newly Diagnosed Diabetes

Frontiers in Physiology ◽

10.3389/fphys.2018.01666 ◽

2018 ◽

Vol 9 ◽

Cited By ~ 2

Author(s):

Juan Chen ◽

Shan-Hu Qiu ◽

Hai-Jian Guo ◽

Wei Li ◽

Zi-Lin Sun

Keyword(s):

Insulin Resistance ◽

Blood Glucose ◽

Newly Diagnosed ◽

Chinese Adults ◽

Urine Glucose ◽

Insulin Levels ◽

Urine Glucose Excretion ◽

Diagnosed Diabetes ◽

Newly Diagnosed Diabetes ◽

Glucose Excretion

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Association Between Lipid Accumulation Product and Mild Cognitive Impairment in Patients with Type 2 Diabetes

Journal of Alzheimer s Disease ◽

10.3233/jad-200332 ◽

2020 ◽

Vol 77 (1) ◽

pp. 367-374

Author(s):

Zi-Wei Yu ◽

Xin Li ◽

Ying Wang ◽

Yu-Hong Fu ◽

Xin-Yuan Gao

Keyword(s):

Type 2 Diabetes ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Lipid Accumulation ◽

Glycosylated Hemoglobin ◽

Visceral Obesity ◽

Lipid Accumulation Product ◽

Increased Risk ◽

Normal Cognition

Background: Diabetes may increase the risk of conversion of mild cognitive impairment (MCI) to dementia. Lipid accumulation product (LAP), an index of visceral obesity, has been shown to be a powerful predictor of insulin resistance and type 2 diabetes (T2D). However, little attention has been paid to the relationship between LAP and MCI in T2D. Objective: We aimed to investigate the association between the LAP index and MCI in patients with T2D. Methods: In total, 220 hospitalized patients with T2D, including 113 MCI patients and 107 patients with normal cognition, were enrolled in this cross-sectional study. We collected demographic, anthropometric, and biochemical data on each subject. The LAP index was calculated according to the following formulas: [waist circumference (WC) (cm) – 65]×triglyceride (TG) (mmol/L) for males and [WC (cm) – 58] ×TG (mmol/L) for females. Results: Compared with patients with normal cognition, MCI patients were older and had a higher LAP index, WC, body mass index, and glycosylated hemoglobin A1c level, as well as a lower Montreal Cognitive Assessment score and education level (p < 0.05). After adjusting for confounding factors, LAP index was associated with MCI (OR = 1.047, 95% CI = 1.031–1.063, p < 0.01). The area under the ROC curve (AUC) for the LAP index was higher than that for WC and BMI. Conclusion: A high LAP index is associated with an increased risk of MCI in T2D patients. The LAP index appears to be a good indicator of risk of MCI in patients with T2D.

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Lipid Accumulation Product: An Obtainable and Accurate Marker for Predicting Metabolic Syndrome in Kidney Transplant Recipients

10.21203/rs.3.rs-616369/v1 ◽

2021 ◽

Author(s):

Chan Liu ◽

Yitao Zheng ◽

Xiaoping Wang ◽

Yanqin Wu ◽

Chuanbao Chen ◽

...

Keyword(s):

Metabolic Syndrome ◽

High Risk ◽

Kidney Transplant ◽

Lipid Accumulation ◽

Risk Scores ◽

Inflammatory Factor ◽

Transplant Recipients ◽

Kidney Transplant Recipients ◽

Lipid Accumulation Product ◽

Increased Risk

Abstract Background Metabolic syndrome (MS) is common in kidney transplant recipients(KTRs) and associated with an increased risk of cardiovascular events. There is a need for accurate, non-invasive methods to predict MS in this population. Lipid accumulation product (LAP) is an effective marker of central lipid accumulation related to high risk of MS, cardiovascular disease(CVD) and diabetes. This study aims to assess the ability of LAP as a marker of MS in KTRs. Methods A total of 92 KTRs were included in this study. The general anthropometries and blood biochemical indexes were measured. Body mass index(BMI), waist-hip ratio (WHR), LAP, HOMA-IR and Framingham risk scores(FRS) were calculated. Results The prevalence of MS was 57.8 % in KTRs. Respectively, 64.1%, 16.3%, and 19.6% of patients with KTRs were at low, intermediate, and high risk of CVD according to FRS categorization. KTRs with MS had significantly higher LAP levels compared to those without MS. LAP was highly correlated with lipid metabolism, abdominal obesity, glucose metabolism and inflammatory factor in KTRs. Our analyses revealed that LAP is an independent risk factor for development of MS. Receiver operating characteristic curve (ROC) analysis showed that LAP was a significant discriminator for prediction of MS in KTRs. The optimal cutoff value for LAP in predicting MS was 39.72 (80.8 % sensitivity, 90 % specificity). Conclusion Our study revealed all adiposity measures of interest present themselves as easy and practical tools for evaluating MS in KTRs and LAP is the best index for the determination of MS in KTRs among them.

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