scholarly journals Association of Triglyceride-Glucose index with risk of microalbuminuria in Chinese children with type 1 diabetes

Author(s):  
Long Gao ◽  
Xinhui Wang ◽  
Jianbo Shu ◽  
Mingying Zhang ◽  
Xiufang Zhi ◽  
...  

Abstract Objective The triglyceride-glucose index (TyG index) has been regarded as a useful alternative marker for the early identification of insulin resistance (IR). Accordingly, the objective of the present study is to explore the association of the TyG index with microalbuminuria (MA) in T1DM children. Methods The study retrospectively enrolled 129 patients ((boys/girls = 51/78) with T1DM in the Endocrine inpatient wards of Tianjin Children’s Hospital from June 2017 to May 2019. 43 patients with MA were randomly matched 1:2 with 86 patients without MA based on the Propensity Score Matching. TyG index was calculated as follows: ln[fasting triglycerides (mg/dL)×fasting plasma glucose (mg/dL)/2]. Results TyG index and related lipid parameters were significantly higher in patients with MA compared with those without (all p < 0.05). Multivariable logistic regression analysis revealed that the TyG index in patients with MA was 2.166 times compared with those without (OR = 2.166; 95% CI, 1.559–3.009; p < 0.001). FPG (OR = 1.068; 95% CI, 1.026–1.112; p = 0.001), HBA1c (OR = 1.193; 95%CI, 1.066–1.334; p = 0.002), and the occurrence of DKA (OR = 9.863; 95% CI, 2.764–35.192; p < 0.001) were still associated with a higher MA risk. ROC curves analysis shown that the area under the curve (AUC) of the TyG index for predicting MA was the largest (0.78) compared with fasting plasma glucose (FPG) and HAB1c. The cumulative incidence of MA in the higher TyG index group was significantly higher than that in the lower TyG index group in 15 years (p < 0.001). Conclusions The TyG index was significantly correlated with MA levels. An elevated TyG index had a significantly greater risk of MA events independent of DKA, even after adjusting for confounding risk factors. The TyG index was more specific than FPG and HBA1c in predicting MA. Compared to patients with a lower TyG index, those with a higher TyG index had an apparently higher cumulative incidence of MA.

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Xiaoli Li ◽  
Guilong Li ◽  
Tiantian Cheng ◽  
Jing Liu ◽  
Guangyao Song ◽  
...  

Abstract Background Recent studies have suggested the triglyceride-glucose index (TyG index) may serve as a suitable substitute for insulin resistance. However, evidence for the relationship between TyG index and risk of diabetes remains limited. This study sought to explore the association of baseline TyG index with risk of developing diabetes in Chinese adults. Methods This retrospective cohort study was conducted using data from the health screening program in China. A total of 201,298 non-diabetic individuals were included. TyG index was calculated as Ln [fasting plasma glucose (mg/dL) × fasting triglyceride level (mg/dL) / 2]. Diabetes was defined as fasting plasma glucose ≥126 mg/dL and/or self-reported diabetes. Cox proportion-hazard model was employed to evaluate the independent impact of baseline TyG index on future diabetes risk. Sensitivity and subgroup analyses were implemented to verify the reliability of results. Notably, data were downloaded from the DATADRYAD website, and used only for secondary analyses. Results During an average follow-up of 3.12 years, among 201,298 individuals aged ≥20 years, 3389 subjects developed diabetes. After adjusting for potential confounders, elevated TyG index were independently correlated with greater risk of incident diabetes (hazard ratio (HR), 3.34; 95% confidence interval (CI), 3.11–3.60). Compared with the lowest quartile (Q1), increasing TyG index (Q2, Q3, and Q4) was related to increased HR estimates of incident diabetes [HR (95% CI), 1.83 (1.49–2.26); 3.29 (2.70–4.01), and 6.26 (5.15–7.60), respectively]. Moreover, a nonlinear relationship was observed between TyG index and risk of diabetes and the slope of the curve increased accompanying the rise of TyG index. Subgroup analysis revealed the positive association was stronger among subjects with age < 40 years, body mass index ≥18.5 kg/m2 and < 24 kg/m2, or systolic blood pressure < 140 mmHg, or in females. Conclusions Elevated TyG index is independently correlated with increased risk of incident diabetes in Chinese adults, indicating it may represent a reliable predictor of diabetes in high-risk populations.


2020 ◽  
Author(s):  
Xiaoli Li ◽  
Guilong Li ◽  
Tiantian Cheng ◽  
Jing Liu ◽  
Guangyao Song ◽  
...  

Abstract Background: Recent studies have suggested the triglyceride-glucose index (TyG index) may serve as a suitable substitute for insulin resistance. However, evidence for the relationship between TyG index and risk of diabetes remains limited. This study sought to explore the association of baseline TyG index with risk of developing diabetes in Chinese adults.Methods: This retrospective cohort study was conducted using data from the health screening program in China. A total of 201,298 non-diabetic individuals were included. TyG index was calculated as Ln [fasting plasma glucose (mg/dl) × fasting triglyceride level (mg/dl)/2]. Diabetes was defined as fasting plasma glucose ≥126 mg/dl and/or self-reported diabetes. Cox proportion-hazard model was employed to evaluate the independent impact of baseline TyG index on future diabetes risk. Sensitivity and subgroup analyses were implemented to verify the reliability of results. Notably, data were downloaded from the DATADRYAD website, and used only for secondary analyses.Results: During an average follow-up of 3.12 years, among 201,298 individuals aged ≥20 years, 3,389 subjects developed diabetes. After adjusting for potential confounders, elevated TyG index were independently correlated with greater risk of incident diabetes (hazard ratio (HR), 3.34; 95% confidence interval (CI), 3.11–3.60). Compared with the lowest quartile (Q1), increasing TyG index (Q2, Q3, and Q4) was related to increased HR estimates of incident diabetes [HR (95% CI), 1.83 (1.49–2.26); 3.29 ( 2.70–4.01), and 6.26 (5.15–7.60), respectively]. Moreover, a nonlinear relationship was observed between TyG index and risk of diabetes and the slope of the curve increased accompanying the rise of TyG index. Subgroup analysis revealed the positive association was stronger among subjects with age < 40 years, body mass index ≥18.5 kg/m2 and < 24 kg/m2, or systolic blood pressure <140 mmHg, or in females.Conclusions: Elevated TyG index is independently correlated with increased risk of incident diabetes in Chinese adults, indicating it may represent a reliable predictor of diabetes in high-risk populations.


2020 ◽  
Author(s):  
Xiaoli Li ◽  
Guilong Li ◽  
Tiantian Cheng ◽  
Jing Liu ◽  
Guangyao Song ◽  
...  

Abstract Background: Recent studies have suggested the triglyceride-glucose index (TyG index) may serve as a suitable substitute for insulin resistance. However, evidence for the relationship between TyG index and risk of diabetes remains limited. This study sought to explore the association of baseline TyG index with risk of developing diabetes in Chinese adults.Methods: This retrospective cohort study was conducted using data from the health screening program in China. A total of 201,298 non-diabetic individuals were included. TyG index was calculated as Ln [fasting plasma glucose (mg/dl) × fasting triglyceride level (mg/dl)/2]. Diabetes was defined as fasting plasma glucose ≥7.0 mmol/L and/or self-reported diabetes. Cox proportion-hazard model was employed to evaluate the independent impact of baseline TyG index on future diabetes risk. Sensitivity and subgroup analyses were implemented to verify the reliability of results. Notably, data were downloaded from the DATADRYAD website, and used only for secondary analyses.Results: During an average follow-up of 3.12 years, among 201,298 individuals aged ≥20 years, 3,389 subjects developed diabetes. After adjusting for potential confounders, elevated TyG index were independently correlated with greater risk of incident diabetes (hazard ratio (HR), 3.34; 95% confidence interval (CI), 3.11–3.60). Compared with the lowest quartile (Q1), increasing TyG index (Q2, Q3, and Q4) was related to increased HR estimates of incident diabetes [HR (95% CI), 1.83 (1.49–2.26); 3.29 ( 2.70–4.01), and 6.26 (5.15–7.6), respectively]. Moreover, a nonlinear relationship was observed between TyG index and risk of diabetes and the slope of the curve increased accompanying the rise of TyG index. Subgroup analysis revealed the positive association was stronger among subjects with age< 40 years, body mass index ≥18.5 kg/m2 and < 24 kg/m2, or systolic blood pressure <140 mmHg, or in females.Conclusions: Elevated TyG index is independently correlated with increased risk of incident diabetes in Chinese adults, indicating it may represent a reliable predictor of diabetes in high-risk populations.


2020 ◽  
Author(s):  
Xiaoli Li ◽  
Guilong Li ◽  
Tiantian Cheng ◽  
Jing Liu ◽  
Guangyao Song ◽  
...  

Abstract Background: Recent studies have suggested the triglyceride-glucose index (TyG index) may serve as a suitable substitute for insulin resistance. However, evidence for the relationship between TyG index and risk of diabetes remains limited. This study sought to explore the association of baseline TyG index with risk of developing diabetes in Chinese adults.Methods: This retrospective cohort study was conducted using data from the health screening program in China. A total of 201,298 non-diabetic individuals were included. TyG index was calculated as Ln [fasting plasma glucose (mg/dL) × fasting triglyceride level (mg/dL) / 2]. Diabetes was defined as fasting plasma glucose ≥126 mg/dL and/or self-reported diabetes. Cox proportion-hazard model was employed to evaluate the independent impact of baseline TyG index on future diabetes risk. Sensitivity and subgroup analyses were implemented to verify the reliability of results. Notably, data were downloaded from the DATADRYAD website, and used only for secondary analyses.Results: During an average follow-up of 3.12 years, among 201,298 individuals aged ≥20 years, 3,389 subjects developed diabetes. After adjusting for potential confounders, elevated TyG index were independently correlated with greater risk of incident diabetes (hazard ratio (HR), 3.34; 95% confidence interval (CI), 3.11–3.60). Compared with the lowest quartile (Q1), increasing TyG index (Q2, Q3, and Q4) was related to increased HR estimates of incident diabetes [HR (95% CI), 1.83 (1.49–2.26); 3.29 ( 2.70–4.01), and 6.26 (5.15–7.60), respectively]. Moreover, a nonlinear relationship was observed between TyG index and risk of diabetes and the slope of the curve increased accompanying the rise of TyG index. Subgroup analysis revealed the positive association was stronger among subjects with age < 40 years, body mass index ≥18.5 kg/m2 and < 24 kg/m2, or systolic blood pressure <140 mmHg, or in females.Conclusions: Elevated TyG index is independently correlated with increased risk of incident diabetes in Chinese adults, indicating it may represent a reliable predictor of diabetes in high-risk populations.


2020 ◽  
Author(s):  
Xiaoli Li ◽  
Guilong Li ◽  
Tiantian Cheng ◽  
Jing Liu ◽  
Guangyao Song ◽  
...  

Abstract BackgroundTriglyceride-glucose index (TyG index) has been regarded as a reliable alternative marker of insulin resistance. However, study on the relationship between TyG index and incident diabetes remains limited. This study aimed to investigate the association between TyG index and incident diabetes in a large cohort of Chinese population.MethodsThe present study was a retrospective cohort study using healthy screening programme data in China. A total of 201,298 subjects free of baseline diabetes were included who received a health check with all medical records from 2010 to 2016. TyG index was calculated as Ln[fasting triglyceride level (mg/dl) x fasting plasma glucose (mg/dl)/2]. Diagnosis of diabetes was based on fasting plasma glucose ≥ 7.00 mmol/L and/or self-reported diabetes. Cox proportion-hazard model was used to assess the relationship between TyG index at baseline and the risk of incident diabetes. It should be noted that the data was uploaded to the DATADRYAD website, and we only used this data for secondary analysis.ResultsDuring a mean follow-up of 3.12 years of 201,298 individuals aged ≥ 20 years old, 3389 subjects developed diabetes. After adjusting for age, sex, body mass index, systolic blood pressure, diastolic blood pressure, total cholesterol, low density lipoprotein cholesterol, alanine aminotransferase, aspartate aminotransferase, serum creatinine, smoking, drinking and family history of diabetes, multivariate cox hazards regression analysis indicated that TyG index was positive correlation with the risk of developing diabetes in Chinese population (HR, 3.34; 95% CI, 3.11 to 3.60). The risk of incident diabetes increased with increasing TyG index. Subjects with TyG index in the fourth quartile were 6.26 times more likely to develop diabetes than the lowest quartile (P trend < 0.001). Subgroup analysis showed the stronger association was observed in the population with age < 40, BMI (≥ 18.5, < 24 kg/m2), SBP < 140 mmHg or females (all P for interaction < 0.0001).Conclusions TyG index was independently correlated with the increased risk of diabetes in Chinese adults, suggesting that TyG index may be a useful marker for identifying individuals at high risk of developing diabetes.


Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2654 ◽  
Author(s):  
Robinson Ramírez-Vélez ◽  
Miguel Ángel Pérez-Sousa ◽  
Katherine González-Ruíz ◽  
Carlos A. Cano-Gutierrez ◽  
Jacqueline Schmidt-RioValle ◽  
...  

This study evaluated the predictive ability of 11 obesity- and lipid-related parameters, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), body roundness index (BRI), “A” body-shape index (ABSI), conicity index (CI), visceral adiposity index (VAI), triglyceride-to-glucose fasting index (TyG), triglyceride-to-glucose fasting related to BMI (TyG-BMI), triglyceride-to-glucose fasting related to WC (TyG-WC), and triglyceride-to-glucose fasting related to WtHR (TyG-WtHR), to identify patients from an elderly Colombian population with a high risk of prediabetes according to the 2016 American Diabetes Association criteria. The data were obtained from the 2015 Colombian Health and Wellbeing and Aging Survey. A total of 3307 elderly Colombian individuals (aged over 60 years) were included. Anthropometric data, fasting plasma glucose, blood lipid profiles, family history, and health-related behaviors were assessed, and prediabetes was defined as a fasting plasma glucose of 100 to 125 mg/dL. The areas under the receiver operating characteristic (ROC) curves (AUCs) were calculated for each anthropometric indicator, using the prediabetes classification to identify their sensitivity and specificity, and these indicated that the prevalence of prediabetes was 25.3% in this population. After adjusting for potential confounding factors, the TyG index was strongly associated with the odds of having prediabetes in both sexes, and multivariate logistic regression analysis showed that the ORs for prediabetes increased across quartiles (p < 0.001). The TyG index was best able to identify prediabetes in either sex (AUC and optimal cut-off = 0.700 and 8.72, and 0.695 and 8.92 for men and women, respectively), suggesting that compared to the other parameters, the TyG index has the best discriminative power to predict prediabetes in the whole population. Thus, we propose the TyG index be used as a complementary marker for assessing prediabetes in older adults.


2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Yumi Matsushita ◽  
Norio Takeda ◽  
Yosuke Nakamura ◽  
Natsuyo Yoshida-Hata ◽  
Shuichiro Yamamoto ◽  
...  

Introduction. The relationship between HbA1c and diabetic retinopathy is expected to differ between different races. This study was designed to verify whether HbA1c or fasting plasma glucose (FPG) is more effective in detecting diabetic retinopathy in a Japanese population. Materials and Methods. The study subjects underwent health examinations between 2008 and 2009 with fasting. Of these participants, we analyzed the data for 2,921 Japanese men who had undergone an ophthalmologic examination. Retinopathy was classified into 7 categories according to a simplified diabetic retinopathy scale. The odds ratios of retinopathy according to the eight groups of FPG and HbA1c were estimated using multiple logistic regression analysis adjusted for age. Receiver operator characteristic analysis was used to evaluate each value associated with the presence or absence of retinopathy. Results and Discussion. The odds ratios (95% CI) of retinopathy for HbA1c level categories, in ascending order, were 1.0 (ref.), 0.88 (0.28-2.75), 1.27 (0.44-3.69), 1.52 (0.48-4.79), 1.89 (0.52-6.85), 2.70 (0.66-11.10), 4.10 (0.80-21.00), and 6.34 (2.37-16.97) where the odds ratios significantly increased with HbA 1 c ≥ 6.8 % . The area under the curve (SE) for FPG and HbA1c was almost the same, at 0.668 (0.043) and 0.680 (0.043), respectively. Conclusions. It was clarified that the higher the level of HbA1c, the higher the prevalence of retinopathy, and there was no clear threshold. The detection ability of retinopathy was almost the same, suggesting that it is possible to detect the risk of retinopathy by HbA1c only.


BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e036882
Author(s):  
Achenef Asmamaw Muche ◽  
Oladapo O Olayemi ◽  
Yigzaw Kebede Gete

ObjectivesTo identify the incidence of postpartum glucose intolerance and develop a prediction model based on antenatal characteristics to predict postpartum glucose intolerance.DesignProspective cohort study.SettingGondar town public health facilities in Northwest Ethiopia.ParticipantsWomen who had gestational diabetes mellitus were advised to undergo postpartum oral glucose tolerance test at 6–12 weeks of delivery.Main outcomePostpartum glucose intolerance.Data analysisPredictors of postpartum glucose intolerance were identified using multivariable logistic regression analysis. The discriminative power of the predictor variables for postpartum glucose intolerance and the model accuracy were computed by area under the receiver operating characteristic curve and estimated by area under the curve (AUC) with 95% CI.ResultsA total of 112 (85.5%) women with gestational diabetes mellitus returned and completed the postpartum oral glucose tolerance test. The incidence of postpartum glucose intolerance was 21.4% (95% CI14.3 to 28.4), inclusive of 18.7% pre-diabetes and 2.7% diabetes. Multivariable logistic regression analysis revealed that advanced maternal age, high fasting plasma glucose level at diagnosis, overweight and/or obesity, and antenatal depression were predictors of postpartum glucose intolerance. The AUC of the final reduced model to predict postpartum glucose intolerance was 0.884 (95% CI 0.822 to 0.937). Fasting plasma glucose at diagnosis of gestational diabetes mellitus (AUC=0.736, 95% CI0.616 to 0.845) and overweight and/or obesity (AUC=0.718, 95% CI 0.614 to 0.814) were better predictors of postpartum glucose intolerance. Moreover, the AUC for the combined predictors of fasting plasma glucose at diagnosis and mid-upper arm circumference was 0.822 (95% CI 0.722 to 0.907), which was the best predictor.ConclusionsThe incidence of postpartum glucose intolerance was high among women with gestational diabetes mellitus. Antenatal predictors modestly predicted postpartum glucose intolerance. The findings suggest ongoing glucose screening is indicated for all women with gestational diabetes mellitus.


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