2-hour Postload Glucose Research Articles

Elevated 1-Hour Post Load Glucose as a Predictor for Telomere Attrition: a study based on a Chinese Community population.

1-hour post-load glucose (1h-PG) detects dysglycemia-related disorders more effectively than traditional glycemic parameters. Hyperglycemia accelerates aging, whether 1h-PG outperforms in predicting aging remains unclear. To Compare the effectiveness of 1h-PG with other glycemic parameters in identifying and predicting telomere attrition. We conducted a cross-sectional and longitudinal study based on a Chinese community cohort. Multivariate linear regression and logistic regression were used to analyze the associations between glycemic parameters and telomere length. The area under the receiver operating characteristic (AUROC) curve were used to compare the differentiating and predictive ability. Populations were regrouped by glucose tolerance status and 1h-PG to compare telomere length. Analyses were separately conducted in non-diabetic and diabetic populations. The cross-sectional study included 715 participants. Only 1h-PG was significantly negatively associated with RTL in both non-diabetic (β = -0.106, 95%CI -0.068 to -0.007, P = 0.017) (odds ratio [OR] = 1.151, 95% CI 1.069 to 1.239, P = 0.005) and diabetic (β = -0.222, 95%CI -0.032 to -0.007, P = 0.002) (OR = 1.144, 95% CI 1.041 to 1.258, P = 0.035) populations. The longitudinal study recruited 437 populations and 112 remained in 7-years follow-up. 1h-PG was associated with telomere shortening in the non-diabetic group (β = -0.314, 95%CI -0.276 to -0.032, P = 0.016) (OR = 2.659, 95% CI 1.158 to 6.274, P = 0.021). AUROC analysis showed that 1h-PG outperformed other glycemic parameters in identifying and predicting telomere attrition. Reclassification revealed that normal glucose tolerance and prediabetic individuals with elevated 1h-PG had telomere lengths comparable to prediabetic and diabetic populations, respectively. 1h-PG outperforms other glycemic parameters in predicting telomere attrition and can be a valuable marker for early aging detection.

1-hour postload glucose is a more sensitive marker of impaired β-cell function than 2-hour postload glucose.

There is evidence that 1-h plasma glucose (PG) during the 75-g oral glucose tolerance test (OGTT) is superior to 2-h PG in predicting diabetes. We aimed to investigate the characteristics of insulin sensitivity and β-cell function behind this observation. After age, sex and BMI matching, 496 subjects selected from 3965 non-diabetic individuals at high risk of type 2 diabetes in a tertiary medical center were categorized into four groups in a 1:1:1:1 ratio based on OGTT results: 1) 1 h < 8.6 mmol/L and 2 h < 7.8 mmol/L (normal glucose tolerance [NGT] /1h-normal); 2) 1 h ≥ 8.6 mmol/L and 2 h < 7.8 mmol/L (NGT/1h-high); 3) 1 h < 8.6 mmol/L and 2 h ≥ 7.8 mmol/L (impaired glucose tolerance [IGT]/1h-normal); and 4) 1 h ≥ 8.6 mmol/L and 2 h ≥ 7.8 mmol/L (IGT/1h-high). Compared with subjects with IGT/1h-normal, those with NGT/1h-high exhibited similar extent of insulin resistance but lower early-phase insulin secretion. Additionally, participants with NGT/1h-high had lower disposition index at both 0-30 min and 0-120 min than those with IGT/1h-normal. The fitted regression line relating PG to log-transformed disposition index (0-30 min and 0-120 min) was significantly steeper for 1-h than 2-h PG. In conclusion, 1-h PG seemed to be more sensitive to the deterioration in β-cell function than 2-h PG. The use of 1-h PG may identify individuals at high risk of type 2 diabetes at an earlier stage.

8413 Skeletal Muscle Mass, Insulin Sensitivity, And Beta-Cell Function In The Development Of Type 2 Diabetes: A 16-Year Prospective Cohort Study

Abstract Disclosure: H. Mun: None. S. Lee: None. S. Kim: None. S. Yoo: None. J. Son: None. Background: The relationship of relative muscle mass with beta-cell dysfunction and insulin resistance in the development of type 2 diabetes is unclear. We therefore aimed to evaluate longitudinal changes in glycemia, insulin sensitivity, and beta-cell function according to muscle mass. Methods: We prospectively evaluated 7090 middle-aged and older participants without diabetes at baseline every 2 years with oral glucose tolerance tests for 16 years in the Korean Genome Epidemiology Study. Weight-adjusted appendicular skeletal muscle mass was used to derive the muscle mass index (MMI). Using linear mixed-effect models, we assessed trajectories of fasting and 2-hour post-load glucose (2hPG), the composite insulin sensitivity index (ISIcomp), the 60-minute insulinogenic index (IGI60), and the disposition index (DI) according to sex-specific MMI tertiles before diagnosis with type 2 diabetes or the completion of follow-up. Results: During a median follow-up of 13.9 years, 1742 (24.5%) participants were diagnosed with type 2 diabetes. The risk of developing type 2 diabetes gradually increased as MMI decreased (multivariable-adjusted hazard ratio 1.36; 95% CI 1.29; 1.44 per SD decline in MMI). After age- and sex adjustment, significant differences were found in fasting and 2hPG trajectories between low and high MMI tertiles during follow-up (p &amp;lt; 0.001 for group-by-time interaction). The low MMI tertile showed significantly lower ISIcomp and DI at baseline compared to the high MMI tertile. The rate of increase in IGI60 was significantly lower in the low MMI tertile than in the high MMI tertile (0.0021 vs. 0.0191; p &amp;lt; 0.001) despite a progressive decline in ISIcomp during follow-up. The rate of decrease in DI was significantly greater in the low MMI tertile than in the high MMI tertile (-0.0228 vs. -0.006; p &amp;lt; 0.001). Conclusion: Sufficient muscle mass in middle-aged and older adults could protect against incident type 2 diabetes by preserving beta-cell function to compensate for aging-induced reductions in insulin action, independent of obesity. Presentation: 6/1/2024

Lipid profile is similar in both subjects with high 1-hour postload glucose and 2-hour postload glucose and is related to cardio-metabolic profile in prediabetes

AimThe study aimed to investigate a lipid profile in people with normal glucose tolerance (NGT), NGT and 1hrOGTT > 8.6 mmol/l, and impaired glucose tolerance (IGT); and to assess its association with some cardio-metabolic parameters. Material and methodsA total of 90 subjects, of mean age 46.7 ± 10.5 years and mean BMI of 32.0 ± 6.3 kg/m2 were enrolled. They were divided into 3 groups: 19 with NGT, 22 with NGT and 1hrOGTT > 8.6 mmol/l, and 49 with IGT; and subdivided into 2 subgroups according to HOMA-IR: 40 with HOMA-IR < 2.5 and 50 with HOMA-IR ≥ 2.5. Body composition (Inbody 720) and advanced glycation end products (AGE Reader) were assessed. Two functional tests (OGTT; MMTT) were performed and AUC for glucose, insulin and triglycerides were calculated. ResultsThere was no difference across the glucose tolerance groups for all evaluated lipids. The results showed higher AUCinsulin during OGTT (p = 0.037 and 0.020), AUCtriglycerides during MMTT (p = 0.048) and triglycerides/HDL ratio (p = 0.064 and 0.016) in the 1hrOGTT and IGT subgroups with HOMA-IR ≥ 2.5 in comparison to those with HOMA-IR < 2.5. AUCtriglycerides during OGTT is independently related to body composition, b-cell function and insulin sensitivity; and AUCtriglycerides during MMTT is independently related to blood pressure and hsCRP in prediabetes. Triglycerides/HDL-C ratio emerged as an independent contributor to glycaemia and insulinemia. ConclusionOur results demonstrate a similar lipid profile in subjects with 1hrOGTT > 8.6 mmol/l and IGT, whereas increased AUCtriglycerides during OGTT, AUCtriglycerides during MMTT and triglycerides/HDL-C ratio have been found in the subgroups with insulin resistance. The triglycerides/HDL-C ratio outlined as an independent predictor of insulin secretion and action, and postload triglycerides appear to be independently related to most of the metabolic parameters.

1-Hour Post-Load Glucose: Early Screening for High Risk of Type 2 Diabetes in Koreans with Normal Fasting Glucose.

With rising the prevalence of type 2 diabetes mellitus (T2DM) and prediabetes, the importance of 1-hour post-load plasma glucose (1-h PG) for early hyperglycemia screening is emphasized. This study investigates the utility of 1-h PG in predicting T2DM in adults with normal fasting plasma glucose (FPG) levels. 7,504 participants were categorized into three groups: normal glucose tolerance (NGT) with 1-h PG < 155 mg/dL, NGT with 1-h PG ≥ 155 mg/dL, and impaired glucose tolerance (IGT). Insulin sensitivity and secretion indices were compared between groups at baseline, and T2DM incidence was analyzed using Cox proportional hazards models. The predictive abilities of 1-h PG and 2-hour post-load plasma glucose (2-h PG) were assessed with receiver operating characteristic analysis. At baseline, the composite insulin sensitivity index in the NGT & 1-h PG ≥ 155 mg/dL group was similarly reduced as in the IGT group (P = .076). Over a mean follow-up of 7.4 years, T2DM developed in 960 patients (12.8%). The highest risk was in the IGT group (hazard ratio [HR] 5.47), followed by the NGT & 1-h PG ≥ 155 mg/dL group (HR 2.74), compared to the NGT & 1-h PG < 155 mg/dL group. The 1-h PG level had a higher area under the curve (0.772) than other glycemic parameters, including 2-h PG. Even with normal FPG, a 1-h PG ≥ 155 mg/dL indicates lower insulin sensitivity similar to IGT and increased T2DM risk, making it a more effective early screening tool than 2-h PG.

Assessment of 1-Hour Postload Plasma Glucose, the Metabolic Syndrome, and the Finish Diabetes Risk Score in the Prediction of Type 2 Diabetes

ObjectiveTo compare the 1-hour postload glucose (1h-PG) value of an oral glucose tolerance test (OGTT) with the metabolic syndrome (MetS) and the Finish Diabetes Risk Score (FINDRISC) in patients with impaired fasting glucose (IFG) to predict type 2 diabetes mellitus (T2DM). MethodsA cohort study conducted in patients identified at a general hospital in Lima, Perú. An OGTT was performed in subjects with IFG who were followed up for 7 years for T2DM development. The exposure variables were 1h-PG ≥ 155 mg/dL, MetS, and a FINDRISC ≥ 13 points, and the outcome was the presence of T2DM. The relative risk, confidence interval, and area under the curve (AUROC) were also estimated. ResultsAmong 324 subjects with IFG, 218 completed the 7-year follow-up. The mean age was 56.2 ± 11.5 years, 64.0% were woman, and 63.8% were overweight/obese. Of these, 36.8% had 1h-PG ≥ 155 mg/dL and normal glucose tolerance, 66.8% had MetS, and 64.5% had FINDRISC ≥ 13 points. After 7 years, 21.1% of participants developed T2DM, with 68.8% of them had 1h-PG ≥ 155 mg/dL (P < .001), 62.2% had MetS (P = .013), and 67.9% had FINDRISC ≥ 13 (P = .68). After adjusting by age, sex, and body mass index, the relative risk was 3.52 (1.64-7.54; 95% CI), 1.81 (0.96-3.38; 95% CI), and 1.17 (0.51-2.70; 95% CI) for each exposure variable, respectively. Also, the AUROC was 0.72 (0.60-0.83), 0.63 (0.51-0.75), and 0.51 (0.38-0.63) (P = .01), respectively. ConclusionBy performing an OGTT in patients with IFG, an 1h-PG ≥ 155 mg/dL value may be helpful to predict T2DM at 7 years better than the use of MetS or the FINDRISC.

Comprehensive biomarker analysis of metabolomics in different syndromes in traditional Chinese medical for prediabetes mellitus

BackgroundPrediabetes mellitus (PreDM) is a high-risk state for developing type 2 diabetes mellitus (T2DM) and often goes undiagnosed, which is closely associated with obesity and characterized by insulin resistance that urgently needs to be treated.PurposeTo obtain a better understanding of the biological processes associated with both "spleen-dampness" syndrome individuals and those with dysglycaemic control at its earliest stages, we performed a detailed metabolomic analysis of individuals with various early impairments in glycaemic control, the results can facilitate clinicians’ decision making and benefit individuals at risk.MethodsAccording to the diagnostic criteria of TCM patterns and PreDM, patients were divided into 4 groups with 20 cases, patients with syndrome of spleen deficiency with dampness encumbrance and PreDM (PDMPXSK group), patients with syndrome of dampness-heat in the spleen and PreDM (PDMSRYP group), patients with syndrome of spleen deficiency with dampness encumbrance and normal blood glucose (NDMPXSK group), and patients with syndrome of dampness-heat in the spleen and normal blood glucose (NDMSRYP group). Plasma samples from patients were collected for clinical index assessment and untargeted metabolomics using liquid chromatography-mass spectrometry.ResultsAmong patients with the syndrome of spleen deficiency with dampness encumbrance (PXSK), those with PreDM (PDMPXSK group) had elevated levels of 2-hour post-load blood glucose (2-h PG), glycosylated hemoglobin (HbA1c), high-density lipoprotein cholesterol (HDL-C), and systolic blood pressure (SBP) than those in the normal blood glucose group (NDMPXSK group, P < 0.01). Among patients with the syndrome of dampness-heat in the spleen (SRYP), the levels of body mass index (BMI), fasting blood glucose (FBG), 2-h PG, HbA1c, and fasting insulin (FINS) were higher in the PreDM group (PDMSRYP group) than those in the normal blood glucose group (NDMSRYP group, P < 0.05). In both TCM syndromes, the plasma metabolomic profiles of PreDM patients were mainly discriminatory from the normal blood glucose controls of the same syndrome in the levels of lipid species, with the PXSK syndrome showing a more pronounced and broader spectrum of alterations than the SRYP syndrome. Changes associated with PreDM common to both syndromes included elevations in the levels of 27 metabolites which were mainly lipid species encompassing glycerophospholipids (GPs), diglycerides (DGs) and triglycerides (TGs), cholesterol and derivatives, and decreases in 5 metabolites consisting 1 DG, 1 TG, 2 N,N-dimethyl phosphatidylethanolamine (PE-NMe2) and iminoacetic acid. Correlation analysis identified significant positive correlations of 3α,7α,12α,25-Tetrahydroxy-5β-cholestane-24-one with more than one glycaemia-related indicators, whereas DG (20:4/20:5) and PC (20:3/14:0) were positively and PC (18:1/14:0) was inversely correlated with more than one lipid profile-related indicators. Based on the value of correlation coefficient, the top three correlative pairs were TG with PC (18:1/14:0) (r = − 0.528), TG with TG (14:0/22:4/22:5) (r = 0.521) and FINS with PE-NMe (15:0/22:4) (r = 0.52).ConclusionOur results revealed PreDM patients with different TCM syndromes were characterized by different clinical profiles. Common metabolite markers associated with PreDM shared by the two TCM syndromes were mainly lipid species encompassing GP, GL, cholesterol and derivatives. Our findings were in line with the current view that altered lipid metabolism is a conserved and early event of dysglycaemia. Our study also implied the possible involvement of perturbed bile acid homeostasis and dysregulated PE methylation during development of dysglycaemia.

Determining the 1-hour post-load glucose which identifies diabetes in Africans: Insight from the Africans in America study

Diagnosing diabetes by shortening the OGTT to 1-h and substituting 1-h post-load glucose (PG) ≥ 209 mg/dL for 2-h PG≥200 mg/dL has been proposed. One-hour PG≥209 mg/dL is from a meta-analysis without any African-descent populations. Our data suggest 1-h PG≥183 mg/dL maybe more optimal for Africans. As with waist circumference guidelines, population-specific thresholds may be appropriate.

Can the postload-fasting glucose gap be used to determine risk of developing diabetes in chinese adults: A prospective cohort study

ObjectiveTo evaluate the relationship between fasting plasma glucose (FPG) and 2-hour postload plasma glucose (2hPG) measured during an oral glucose tolerance test, and the risk of developing diabetes in Chinese adults. MethodsWe followed 3,094 participants without diabetes, categorizing them based on their oral glucose tolerance test (OGTT) results into low post load (2hPG ≤ FPG) and high post load (2hPG > FPG) at baseline. We monitored the incidence of diabetes, incidence of prediabetes, disease progression from prediabetes to diabetes and disease reversal from prediabetes to normal glucose tolerance (NGT) over an average of 3.2 years of follow-up.After the Schoenfeld residual test, Cox’s time-varying covariate (Cox-TVC) models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) to compare the different clinical events between low and high post load groups. ResultsIn the cohort study, of the 3,094 participants, 702 (22.7 %) had low post load (2hPG ≤ FPG, mean postload-fasting gap: −0.8 ± 0.7 mmol/L) and 2,392 (77.3 %) had high post load (2hPG > FPG, mean postload-fasting gap: 1.8 ± 1.2 mmol/L). Over 3.2 ± 0.2 years of follow-up, 282 (9.1 %) developed diabetes. In the low post load group, the incidence rates per 1,000 person-years were: diabetes was 7.9, prediabetes was 70.0, disease progression from prediabetes to diabetes was 23.4 and disease reversal to NGT was 327.2. For the high post load group, incidence rates for diabetes was 13.9, prediabetes was 124.3, disease progression was 59.5 and disease reversal was 238.6 per 1,000 person-years.Participants with high post load showed higher incidence rates of diabetes, prediabetes, and progression from prediabetes to diabetes compared to those with low post load. HRs were significantly higher for incident diabetes and prediabetes, and disease progression from prediabetes to diabetes, whereas disease reversal was lower. ConclusionThe risk of developing prediabetes/diabetes after 3.2 years of follow-up was higher in the participants with high post load. It suggested that postload-fasting gap may be a simple tool to predict the risk of developing prediabetes, diabetes or reversal to NGT.

Outcome of Pregnancy Oral Glucose Tolerance Test and Preterm Birth.

Gestational diabetes is associated with adverse outcomes such as preterm birth (<37 weeks). However, there is no international consensus on screening criteria or diagnostic levels for gestational diabetes, and it is unknown whether body mass index (BMI) or obesity modifies the relation between glucose level and preterm birth. We studied a pregnancy cohort restricted to two Danish regions from the linked Danish Medical Birth Register to study associations between glucose measurements from the 2-hour postload 75-g oral glucose tolerance test (one-step approach) and preterm birth from 2004 to 2018. In Denmark, gestational diabetes screening is a targeted strategy for mothers with identified risk factors. We used Poisson regression to estimate rate ratios (RR) of preterm birth with z-standardized glucose measurements. We assessed effect measure modification by stratifying analyses and testing for heterogeneity. Among 11,337 pregnancies (6.2% delivered preterm), we observed an adjusted preterm birth RR of 1.2 (95% confidence interval [CI] = 1.1, 1.3) for a one-standard deviation glucose increase of 1.4 mmol/l from the mean of 6.7 mmol/l. There was evidence for effect measure modification by obesity, for example, adjusted RR for nonobese (BMI, <30): 1.2 (95% CI = 1.1, 1.3) versus obese (BMI, ≥30): 1.3 (95% CI = 1.2-1.5), P = 0.05 for heterogeneity. Among mothers screened for gestational diabetes, increased glucose levels, even those below the diagnostic level for gestational diabetes in Denmark, were associated with increased preterm birth risk. Obesity (BMI, ≥30) may be an effect measure modifier, not just a confounder, of the relation between blood glucose and preterm birth risk.

Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study with a Cohort Group in South Africa.

This study aims to explore the potential of Internet of Things (IoT) devices and explainable Artificial Intelligence (AI) techniques in predicting biomarker values associated with GDM when measured 13 - 16 weeks prior to diagnosis. We developed a system that forecasts biomarkers such as LDL, HDL, triglycerides, cholesterol, HbA1c, and results from the Oral Glucose Tolerance Test (OGTT) including fasting glucose, 1-hour, and 2-hour post-load glucose values. These biomarker values are predicted based on sensory measurements collected around week 12 of pregnancy, including continuous glucose levels, short physical movement recordings, and medical background information. To the best of our knowledge, this is the first study to forecast GDM-associated biomarker values 13 to 16 weeks prior to the GDM screening test, using continuous glucose monitoring devices, a wristband for activity detection, and medical background data. We applied machine learning models, specifically Decision Tree and Random Forest Regressors, along with Coupled-Matrix Tensor Factorisation (CMTF) and Elastic Net techniques, examining all possible combinations of these methods across different data modalities. The results demonstrated good performance for most biomarkers. On average, the models achieved Mean Squared Error (MSE) between 0.29 and 0.42 and Mean Absolute Error (MAE) between 0.23 and 0.45 for biomarkers like HDL, LDL, cholesterol, and HbA1c. For the OGTT glucose values, the average MSE ranged from 0.95 to 2.44, and the average MAE ranged from 0.72 to 0.91. Additionally, the utilisation of CMTF with Alternating Least Squares technique yielded slightly better results (0.16 MSE and 0.07 MAE on average) compared to the well-known Elastic Net feature selection technique. While our study was conducted with a limited cohort in South Africa, our findings offer promising indications regarding the potential for predicting biomarker values in pregnant women through the integration of wearable devices and medical background data in the analysis. Nevertheless, further validation on a larger, more diverse cohort is imperative to substantiate these encouraging results.

Tracking correlations and predictors of plasma glucose in young adulthood: A comprehensive analysis from adolescence to young adulthood in TLGS study

AimsWe investigated the tracking correlations between fasting plasma glucose (FPG) in adolescence with both FPG and 2-hour post-load glucose (2 h-PG) in adulthood, and identified the predictors of FPG and 2 h-PG in young adulthood using traditional risk factors during adolescence and adulthood. MethodsWe included 2188 participants (1033 male) from the Tehran lipid and glucose study within the age ranges 11–18 and 19–40 years during 1999–2018. The area under the curve (AUC) was computed using the growth curve models, and predictors were identified by the linear regression model. ResultsThe partial correlation between AUCs of FPG in adolescence and adulthood was 0.37 (P < 0.001). The correlation between AUCs of FPG in adolescence and 2 h-PG in adulthood was 0.17 (P < 0.001). The AUC of FPG was a significant positive predictor for both FPG and 2 h-PG in young adulthood. Other predictors of adult FPG included sex, as well as BMI and the ratio of triglycerides to HDL-cholesterol during both adolescence and adulthood. ConclusionsTracking correlation was observed for FPG, suggesting that monitoring and managing risk factors in adolescence may have implications for future glucose metabolism in young adulthood.

Sex-specific associations of the difference between 2-hour post-load and fasting plasma glucose with cardiovascular risk in a normoglycemic population

Abstract Background Elevated levels of fasting plasma glucose (FPG) and 2-hour post-load glucose (2hPG) have been established as individual risk factors for cardiovascular disease (CVD), coronary heart disease (CHD), and stroke. However, it is unclear whether the difference between 2hPG and FPG (2hPG-FPG) within normoglycemic influences the cardiovascular risk in women and men. Purpose To investigate the association between 2hPG-FPG and the incidence of CVD, CHD, and stroke among normoglycemic women and men in a large population-based cohort. Methods In this prospective cohort study, a total of 7224 participants with the normoglycemic state (mean age 37±11; women, 57.4%) that had baseline measurements of both FPG and 2hPG values and did not have prior CVD, CHD, or stroke were included and were followed for incidence of outcomes annually until March 2018. The normoglycemic range was defined as FPG&amp;lt; 5.55 and 2 h-PG&amp;lt; 7.77 mmol/L and not taking anti-diabetic medications. CHD was defined as either positive ECG findings and biomarkers, cardiac symptoms accompanied by either positive ECG or biomarker, or angiographic-proven CHD. Stroke was defined based on the WHO criteria. Also, CVD was defined as a composite of CHD and stroke. A Multivariable Cox­-regression model adjusted for age, body mass index, hypertension, hyperlipidemia, FPG, education level, and smoking status was used to assess the association between 2hPG-FPG and incident CVD, CHD, and stroke in women and men. We also used a cumulative incidence curve to illustrate the cumulative sex-specific incidence of CVD, CHD, and stroke during the follow-up time (Figure 1). Results During a median follow-up of 17.9 years (IQR: 13.75-18.46), 487 CVD (174 women), 427 CHD (140 women), and 76 stroke (37 women) events occurred. Among men, 2hPG-FPG was associated with an increased risk of CVD (hazard ratio [HR]:1.11, 95% confidence interval [CI]:1.01-1.22, p=0.03) and CHD (HR:1.11, 95% CI:1.00-1.22, p=0.04 ), but not stroke (HR:1.14, 95% CI:0.88-1.50, p= 0.33). No significant associations among women were found between 2hPG-FPG and the incidence of outcomes, with adjusted HRs of 1.02 (95% CI, 0.88-1.18, p=0.82), 1.00 (0.85-1.17, p=0.99), and 1.10 (0.80-1.52, p=0.54) for incident CVD, CHD, and stroke, respectively (Table 1). Conclusion A greater difference between 2hPG and FPG (2hPG-FPG) within the normoglycemic range was associated with an increased risk for incidence of CVD and CHD in men but not women. Further studies are warranted to explore the potential use of 2hPG-FPG for cardiovascular risk stratification, particularly among those with normal glucose parameters.Association of 2hPG-FPG with CV riskCumulative incidence of CVD, CHD, stroke

131-OR: Glycemic Measures in Childhood as Predictors of Future Diabetes-Related Microvascular Complications

The United States Preventive Services Task Force recently questioned the benefits of risk-based screening for prediabetes/T2D in asymptomatic children with overweight/obesity due to lack of long-term health outcomes data. We examined associations of HbA1c and 2-hour post-load plasma glucose (2-hr PG), obtained during childhood (5 - &amp;lt;18 years) in a longitudinal study in an American Indian community (1965-2007), with future albuminuria [albumin creatinine ratio (ACR) ≥ 30 mg/g], severe albuminuria (ACR ≥ 300 mg/g), and retinopathy (at least one microaneurysm or hemorrhage or proliferative retinopathy on direct ophthalmoscopy). We compared the performance of childhood glycemic measures in predicting these complications using area under the ROC curve (AUC). In children without T2D at baseline, higher HbA1c (HR=3.09 per 1%, 95% CI: 1.17-8.22) and 2-hr PG (HR= 1.48 per 1 mmol/L, 95% CI: 1.31-1.67) significantly increased retinopathy risk. Children with T2D based on baseline HbA1c had the highest incidence of albuminuria, severe albuminuria, and retinopathy compared to those with prediabetes and normal HbA1c levels. AUCs for HbA1c, 2-hr PG, or FPG were not significantly different (Figure). Higher levels of glycemia in childhood associated with future microvascular complications demonstrating the utility of screening tests performed in high-risk children in predicting long-term health outcomes. Disclosure L.Vazquez: None. E.Vazquez arreola: None. R.L.Hanson: None. M.Sinha: None. Funding National Institute of Diabetes and Digestive and Kidney Diseases

Metabolic Syndrome and C-reactive Protein are Associated With a Reduced Myocardial Mechano-energetic Efficiency.

Metabolic syndrome and elevated high-sensitivity C-reactive protein (hsCRP) levels are associated with risk of cardiovascular diseases. A reduced myocardial mechano-energetic efficiency (MEE) has been found to be an independent predictor of cardiovascular disease. To evaluate the association between metabolic syndrome and hsCRP levels with impaired MEE. Myocardial MEE was assessed by a validated echocardiography-derived measure in 1975 nondiabetic and prediabetic individuals subdivided into 2 groups according to the presence of metabolic syndrome. Individuals with metabolic syndrome exhibited increased stroke work and myocardial oxygen consumption estimated by rate pressure product, and a reduced MEE per gram of left ventricular mass (MEEi) compared with subjects without metabolic syndrome, after adjusting for age and sex. Myocardial MEEi progressively decreased in parallel with the increase in the number of metabolic syndrome components. In a multivariable regression analysis, both metabolic syndrome and hsCRP contributed to reduced myocardial MEEi independently of sex, total cholesterol, high-density lipoprotein, triglycerides, fasting, and 2-hour postload glucose levels. When the study population was divided into 4 groups by the presence or absence of metabolic syndrome and by hsCRP levels above and below 3 mg/L, hsCRP levels ≥3 mg/L were associated with reduced myocardial MEEi both in subjects with metabolic syndrome and in those without the syndrome. Nondiabetic and prediabetic individuals with metabolic syndrome exhibit increased stroke work and myocardial oxygen consumption, and an impaired MEEi, an established predictor of adverse cardiovascular events, and elevated hsCRP levels in combination with metabolic syndrome aggravate the myocardial MEEi impairment.

Gender difference in the association between prediabetes and post-myocardial infarction prognosis

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Higher incident coronary heart disease in females with prediabetes compared to males is seen in the general population. This interaction in post-MI patients for recurrent events is largely unexplored. Purpose Explore the interaction between sex and newly diagnosed glycaemic abnormalities in terms of its association with recurrent cardiovascular events. Methods Retrospective analysis of a cohort of MI-survivors without known diabetes who had pre-discharge OGTT. MACE (death and non-fatal MI) had fasting (FPG) and 2-hour post-load plasma glucose (2h-PG), were recorded. Cox regression models adjusted for confounders were used. The modifying effect of sex on the association between MACE and, glycaemic groups or fasting or post-load glucose levels was tested by adding an interaction term combining gender and glycaemic category prediabetes (pDM) and new diabetes (NDM) (pDM*sex and NDM*sex) or glucose levels (FPG*sex and 2h-PG*sex) to the base model to additionally adjust for sex-specific confounding. Results Crude MACE was higher in women with pDM (35.8% v 16.7%, p=0.001) and men with NDM (29.6% v 17.3%, p=0.003) compared to normal glucose tolerance (NGT). Adjusted MACE was higher only in women with pDM (HR 2.15, 95% CI 1.24 to 3.72, p=0.007) and only in men with NDM (HR 1.57, 95% CI 1.01 to 2.42, p=0.044) compared to NGT. In pDM group, risk of MACE was higher in women compared to men (HR 1.72, 95% CI 1.13 to 2.60, p=0.011), (p for interaction=0.040) but not NDM (HR 0.83, 95% CI 0.43 to 1.60, p=0.575), (p for interaction=0.378). Increasing 2h-PG, but not FPG, was associated with MACE in both sexes with no sex interaction. Compared to NGT, IGT, not IFG, predicted MACE in women, (HR 2.08, 95% CI 1.21 to 3.57, p=0.008) but not in men, (p for interaction=0.043). 2h-PG determined NDM predicted MACE in men (HR 1.59, 95% CI 1.04 to 2.44, p=0.034) but not in women without sex interaction, (p for interaction=0.365) (Fig 2). Conclusion Female sex adversely modifies the association between 2h-PG determined pDM and post-MI MACE.

Obesity and overweight are linked to increased sodium-glucose cotransporter 1 and glucose transporter 5 levels in duodenum.

Prior evidence indicates that individualswith obesity have an accelerated intestinal glucose absorption. This cross-sectional study evaluated whether those with overweight or obesity display higher duodenal protein levels of the glucose carriers sodium-glucose cotransporter 1 (SGLT-1), glucose transporter 2 (GLUT-2), and glucose transporter 5 (GLUT-5). SGLT-1, GLUT-2, and GLUT-5 protein levels were assessed on duodenal mucosa biopsies of 52 individuals without diabetes categorized on the basis of their BMI as lean, with overweight, or with obesity. Individualswith overweight and obesity exhibited progressively increased duodenal protein levels of SGLT-1 and GLUT-5 as compared with the lean group. Conversely, no differences in duodenal GLUT-2 abundance were found among the three groups. Univariate analysis showed that SGLT-1 and GLUT-5 protein levels were positively correlated with BMI, waist circumference, 1-hour post-load glucose, fasting and post-load insulin, and insulin secretion and resistance levels. Furthermore, a positive relationship was detected between intestinal GLUT-5 levels and serum uric acid concentrations, a product of fructose metabolism known to be involved in the pathogenesis of obesity and its complications. Individualswith overweight and obesity display enhanced duodenal SGLT-1 and GLUT-5 abundance, which correlates with increased postprandial glucose concentrations, insulin resistance, and hyperinsulinemia.

Assessment of the risk factors associated with type 2 diabetes and prediabetes mellitus: A national survey in Vietnam.

This study aims to estimating the prevalence of type 2 diabetes and prediabetes among adult from 30 to 69 years old and assess the association of risk factor with the conditions. A total of 5244 aged 30 to 69 years old were participated in this cross-sectional study, using nationally representative sampling frame. All participants were taking blood sample to measure fasting blood glucose level and 2-hour postload oral glucose tolerance test by National Hospital of Endocrinology, Vietnam. Multinomial logistic regressions with baseline-category logit models were conducted to identify factors associated with diabetes and prediabetes among respondents. The prediabetes prevalence was in 17.9% and diabetes in 7.3%. Patients who were male (reference group vs female OR = 0.79; 95% CI: 0.64, 0.97), in the 50 to 59 years old group (OR = 1.60; 95% CI: 1.28, 2.00), have hypertension and WHR risk have higher prevalence to have prediabetes (OR = 1.31; 95% CI: 1.12, 1.53; OR = 1.37; 95% CI: 1.11, 1.70, respectively). Male patients (reference group vs female OR = 0.62; 95% CI: 0.45, 0.84), patients who were in 40 to 49; 50 to 59; 60 to 69 years old, those who were housewife (OR = 2.17; 95% CI: 1.43, 3.28; OR = 2.85; 95% CI: 1.91, 4.27; OR = 3.12; 95% CI: 2.08, 4.69; OR = 1.71; 95% CI: 1.22, 2.40, respectively). Diabetes have significant associated with participants have hypertension (OR = 1.19; 95% CI: 1.72, 2.70). The common factor directly related to prediabetes and diabetes in both genders is age. Other factors directly associated with prediabetes and diabetes include BMI, WHR, hypertension, educational level, and job.

Serum CD14 concentration is associated with obesity and insulin resistance in non-diabetic individuals.

ObjectiveCD14 is a lipopolysaccharide-binding protein that serves as a marker of monocytes. The role of circulating CD14 in patients with obesity without diabetes remains unknown. Here, we characterized the relationships between serum CD14 concentration and metabolic parameters related to diabetes and obesity.MethodsWe performed an observational, prospective case–control study. Eighty participants were evaluated: 26 drug-naïve patients with type 2 diabetes mellitus and 54 healthy individuals. We compared the circulating CD14 concentration and metabolic parameters of the participants with and without diabetes.ResultsThe circulating CD14 concentration did not significantly differ between the two groups, but was lower in participants with obesity than in lean controls. No significant associations existed between CD14 concentration and metabolic parameters in the participants with diabetes, but in those without diabetes, the circulating CD14 concentration significantly negatively correlated with body mass index; waist circumference; the concentrations of fasting insulin, 2-hour post-load glucose, 2-h post-load insulin, and low-density lipoprotein-cholesterol; homeostasis model of assessment (HOMA) of insulin resistance; and HOMA beta-cell function.ConclusionsThis is the first study to show associations of serum CD14 concentration with metabolic parameters in non-diabetic individuals. Circulating CD14 may represent a useful biomarker of metabolic dysfunction in non-diabetic individuals.

Optimal Cutoff Value of 1-Hour Postload Glucose to Identify Insulin Resistance in Women with Polycystic Ovary Syndrome

Background: Despite the active researches recently conducted into the relationship between 1-h postload glucose (1-h PG) during standard oral glucose tolerance test and future risk of type 2 diabetes, research regarding the clinical capacity of 1-h PG to assess insulin resistance in those with polycystic ovary syndrome (PCOS) is still insufficient. The purpose of this study was to investigate the optimal 1-h PG cutoff value to identify insulin resistance in women with PCOS. Methods: One hundred fifty-three women aged 18 to 35 years who were diagnosed with PCOS were enrolled in this study. Insulin resistance was defined as having abnormal insulin sensitivity or hyperglycemia. Spearman’s rank correlation coefficient and receiver operating characteristic (ROC) curve analyses were conducted to assess the relationship between 1-h PG and other parameters and to determine the optimal 1-h PG cutoff for identifying insulin resistance, respectively. Results: Significant correlations were observed between 1-h PG, 2-h PG and fasting glucose, and other fasting-state insulin sensitivity assessment indices, other than fasting insulin level. The optimal 1-h PG threshold value for identifying insulin resistance was 138.5 mg/dL. Categorization of patients based on the 1-h PG threshold showed significant differences for all laboratory variables related to insulin sensitivity/resistance, other than fasting insulin. Conclusions: Our results suggest that a 1-h PG value of ≥138.5 mg/dL may be a promising assessment index for identifying insulin resistance in women with PCOS.