Use of the estimated glucose disposal rate as a measure of insulin resistance in an urban multiethnic population with type 1 diabetes

The role of estimated glucose disposal rate in predicting cardiovascular risk among general and diabetes mellitus population: a systematic review and meta-analysis

BACKGROUND

Estimated glucose disposal rate (eGDR) is a measure of insulin sensitivity. While recent evidence suggests its role in cardiovascular risk assessment in Type 1 diabetes, its associations with cardiovascular disease (CVD), diabetic microvascular complications (DMC), and mortality across different populations remain unclear.

METHODS

We systematically searched Medline, EMBASE, Web of Science, and the Cochrane Library up to September 1st, 2024, following PRISMA guidelines. We examined associations between eGDR and CVD, DMC (including diabetic retinopathy, nephropathy, and peripheral neuropathy), and all-cause mortality using random-effects models. Secondary analysis assessed mean eGDR levels in diabetes populations.

RESULTS

Nineteen observational studies (185,810 participants) examined clinical outcomes, while 50 studies reported mean eGDR values. In patients with Type 1 diabetes (T1DM), each 1-unit (mg/kg/min) increase in eGDR was associated with lower risks of CVD (HR 0.78; 95% CI 0.69-0.87; I2 = 68%) and all-cause mortality (HR 0.83; 95% CI 0.79-0.88; I2 = 0%). The association between eGDR and DMC in T1DM was not statistically significant (HR 0.86; 95% CI 0.72-1.03; I2 = 25%). In patients with Type 2 diabetes (T2DM), each 1-unit (mg/kg/min) increase in eGDR was associated with reduced all-cause mortality (HR 0.90; 95% CI 0.84-0.97; I2 = 62%). Similarly, in the general population, each 1-unit (mg/kg/min) increase in eGDR was associated with decreased mortality risk (HR 0.88; 95% CI 0.82-0.94; I2 = 48%). The pooled mean eGDR was higher in patients with T1DM (8.19 mg/kg/min; 95% CI 7.81-8.57; I2 = 99%) compared to those with T2DM (7.03 mg/kg/min; 95% CI 4.89-9.17; I2 = 100%).

CONCLUSIONS

Higher eGDR levels were consistently associated with lower risks of CVD and mortality in T1DM, with similar associations observed for mortality in T2DM. In the general population, higher eGDR levels were associated with reduced mortality risk. The relationship between eGDR and DMC requires further investigation, particularly in T2DM. These findings suggest eGDR's potential utility as a risk assessment tool, though its clinical application may vary across different populations.

Insulin resistance quantified by estimated glucose disposal rate predicts cardiovascular disease incidence: a nationwide prospective cohort study

BACKGROUND

Insulin resistance (IR) is an important pathologic component in the occurrence and development of cardiovascular disease (CVD). The estimated glucose disposal rate (eGDR) is a measure of glucose handling capacity, that has demonstrated utility as a reliable marker of IR. The study aimed to determine the predictive utility of IR assessed by eGDR for CVD risk.

METHODS

This nationwide prospective cohort study utilized data of 6416 participants from the China Health and Retirement Longitudinal Study (CHARLS) who were free of CVD but had complete data on eGDR at baseline. The Boruta algorithm was performed for feature selection. Multivariate Cox proportional hazards regression models and restricted cubic spline (RCS) analysis were conducted to examine the associations between eGDR and CVD, and the results were expressed with hazard ratio (HR) and 95% confidence interval (CI) values. The area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, Hosmer-Lemeshow test, net reclassification improvement (NRI), and decision curve analysis (DCA) were employed to evaluate the clinical efficacy of eGDR in identifying CVD. Subgroup analysis was performed to explore the potential association of with CVD in different populations.

RESULTS

During a median follow-up of 106.5 months, 1339 (20.87%) incident CVD cases, including 1025 (15.96%) heart disease and 439 (6.84%) stroke, were recorded from CHARLS. The RCS curves demonstrated a significant and linear relationship between eGDR and all endpoints (all P for nonlinear > 0.05). After multivariate adjustment, the lower eGDR levels were found to be significantly associated with a greater prevalence of CVD. Compared to the lowest quartile, the highest eGDR quartile was associated with a decreased risk of CVD (HR 0.686, 95% CI 0.545-0.862). When assessed as a continuous variable, individuals with a unit increasement in eGDR was related to a 21.2% (HR 0.788, 95% CI 0.669-0.929) lower risk of CVD, a 18.3% (HR 0.817, 95% CI 0.678-0.985) decreased risk of heart disease, and 39.5% (HR 0.705, 95% CI 0.539-0.923) lower risk of stroke. The eGDR had an excellent predictive performance according to the results of ROC (AUC = 0.712) and χ2 likelihood ratio test (χ2 = 4.876, P = 0.771). NRI and DCA analysis also suggested the improvement from eGDR to identify prevalent CVD and the favorable clinical efficacy of the multivariate model. Subgroup analysis revealed that the trend in incident CVD risk were broadly consistent with the main results across subgroups.

CONCLUSION

A lower level of eGDR was found to be associated with increased risk of incident CVD, suggesting that eGDR may serve as a promising and preferable predictor for CVD.

Which Surrogate Marker of Insulin Resistance Among Those Proposed in the Literature Better Predicts the Presence of Non-Metastatic Bladder Cancer?

Background: Recent evidence has shown that insulin resistance (IR), a hallmark of nonalcoholic fatty liver disease, predicts bladder cancer (BC) presence. However, the best surrogate marker of IR in predicting BC is still unclear. This study examined the relationships among ten surrogate markers of IR and the presence of BC. Methods: Data from 209 patients admitted to two urology departments from September 2021 to October 2024 were retrospectively analyzed. Individuals (median age 70 years) were divided into two groups (123 and 86 patients, respectively) based on the presence/absence after cystoscopy/TURB of non-metastatic BC. Univariate logistic regression was used to determine the relationships between groups, and the following IR parameters: Triglyceride-Glucose (TyG) index, TyG-BMI, HOMA-IR HOMAB, MetS-IR, Single Point Insulin Sensitivity Estimator, Disposition Index, non-HDL/HDL, TG/HDL-C ratio and Lipoprotein Combine Index. Stepwise logistic regressions were carried out to evaluate the significant predictions and LASSO regression to confirm any significant variable(s). The predictive value of the index test for coexistent BC was evaluated using receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC). Results: The univariate analysis revealed that the TyG index and MetS-IR were associated with the BC presence. Specifically, the associations of the TyG index and MetS-IR were more significant in participants =/> 65 years old. In multivariate analysis, the stepwise logistic regression, evaluating the most representative variables at univariate analysis, revealed a prediction of BC by only TyG index (OR 2.51, p = 0.012), confirmed by LASSO regression, with an OR of 3.13, p = 0.004). Assessing the diagnostic reliability of TyG, it showed an interesting predictive value for the existence of BC (AUC = 0.60; 95% CI, 0.51-0.68, cut-off 8.50). Additionally, a restricted cubic spline model to fit the dose-response relationship between the values of the index text (TyG) and the BC evidenced the presence of a non-linear association, with a high predictive value of the first knot, corresponding to its 10th percentile. The decision curve analysis confirmed that the model (TyG) has utility in supporting clinical decisions. Conclusions: Compared to other surrogate markers of IR, the TyG index is effective in identifying individuals at risk for BC. A TyG threshold of 8.5 was highly sensitive for detecting BC subjects and may be suitable as an auxiliary diagnostic criterion for BC in adults, mainly if less than 65 years old.

Exploring the link between estimated glucose disposal rate and Parkinson's disease: cross-sectional and mortality analysis of NHANES 2003-2016

Objectives

To investigate the association between estimated glucose disposal rate (eGDR), a surrogate marker of insulin resistance, and Parkinson's disease (PD) risk, and to examine the relationship between eGDR and all-cause mortality among PD patients.

Methods

Using data from the National Health and Nutrition Examination Survey (NHANES) 2003-2016, we conducted a cross-sectional study of 20,767 participants aged ≥40 years. eGDR was calculated using waist circumference, hypertension status, and HbA1c levels. PD cases were identified through anti-parkinsonian medication use. The association between eGDR and PD was examined using weighted logistic regression models with progressive adjustment for potential confounders. Survival analysis was performed in 255 PD patients to assess the relationship between eGDR and all-cause mortality.

Results

Among participants, 256 had PD (weighted prevalence: 1.23%). Higher eGDR was associated with lower odds of PD in crude analysis (OR: 0.906, 95% CI: 0.856-0.960, P < 0.001). After full adjustment, the highest eGDR tertile showed significantly lower odds of PD compared to the lowest tertile (OR: 0.574, 95% CI: 0.337-0.976, P = 0.040). Restricted cubic spline analysis revealed a significant M-shaped non-linear relationship between eGDR and PD risk (P for non-linearity < 0.001). In survival analysis, higher eGDR was associated with lower mortality risk (adjusted HR: 0.875, 95% CI: 0.775-0.987, P = 0.030), with an inverted U-shaped relationship observed (P for non-linearity = 0.0352).

Conclusion

Higher eGDR levels are associated with lower PD risk and better survival in PD patients, suggesting that insulin sensitivity might play a role in PD pathogenesis and progression. These findings highlight the potential importance of metabolic health in PD.

Estimated glucose disposal rate mediates the association between Life's Crucial 9 and congestive heart failure: a population-based study

Background

Life's Crucial 9 (LC9) is the latest indicator of cardiovascular health (CVH), and the estimated glucose disposal rate (eGDR) is a non-invasive indicator of insulin resistance (IR). However, the relationships between LC9 and eGDR and congestive heart failure (CHF) remain unknown.

Methods

In this cross-sectional study, participants aged ≥20 years in the NHANES database from 2005 to 2018 were analyzed. Weighted linear regression, logistic regression, subgroup analysis, and restricted cubic spline (RCS) analysis were employed to analyze the associations among LC9, eGDR, and CHF. Mediation analysis was used to explore the mediating role of eGDR in the association between LC9 and CHF.

Results

A total of 22,699 adult participants were included, among whom 661 suffered from CHF. The mean age of the participants was 47.52 (0.26) years old, with 11186 (48.68%) males and 11513 (51.32%) females. The average value of LC9 was 71.16 (0.22), and that of eGDR was 7.91 (0.04). After adjusting for confounding factors, linear regression showed that LC9 was independently and positively associated with eGDR (β: 1.11, 95%CI: 1.07 - 1.14, P < 0.0001). Logistic regression indicated that both LC9 (OR: 0.76, 95%CI: 0.65 - 0.88, P < 0.001) and eGDR (OR: 0.81, 95%CI: 0.76 - 0.86, P < 0.0001) were independently and negatively associated with the prevalence of CHF. Mediation analysis revealed that the association between LC9 and CHF was mainly mediated by eGDR, with a proportion of 66%.

Conclusion

This study suggests that higher LC9 scores and eGDR values imply a lower prevalence of CHF. Meanwhile, eGDR is the main intermediate factor in the association between LC9 and CHF, indicating that good CVH may reduce the prevalence of CHF by improving IR.

Estimated Glucose Disposal Rate Predicts the Risk of Incident Metabolic Dysfunction-Associated Steatotic Liver Disease

OBJECTIVES

There is a relationship between insulin resistance and metabolic dysfunction-associated steatotic liver disease (MASLD) and the estimated glucose disposal rate (eGDR), which has been reported as a surrogate marker of insulin resistance. This study aimed to investigate the association between eGDR and the incident MASLD, and compare the ability to predict incident MASLD with other insulin resistance markers.

METHODS

Retrospective cohort data from a health check-up program were analyzed. Participants were categorized into 4 subgroups according to eGDR quartiles. To assess the association between eGDR quartiles and incident MASLD, logistic regression analyses were used. Additionally, to compare the predictive ability of eGDR, triglyceride/high-density lipoprotein (HDL) cholesterol (TG/HDL) ratio, and triglyceride glucose index with respect to incident MASLD, receiver operating characteristics analysis was used.

RESULTS

Of 16 689 participants were included, 3654 developed MASLD. After multivariate adjustment, compared with the lowest eGDR quartile, odds ratios (95% confidence interval [CI]) for incident MASLD in the second, third, and highest GDR quartiles, were 0.775 (0.692-0.868), 0.478 (0.408-0.560), and 0.147 (0.110-0194), respectively. The association between lower eGDR levels and MASLD risk remained consistent across stratification by sex and obesity status. Moreover, the area under the receiver operating characteristics curve (95% CI) for eGDR (0.8 [0.79-0.81]) was higher than for TG/HDL ratio 0.76 [0.79-0.81]) and triglyceride glucose index (0.75 [0.74-0.76]).

CONCLUSIONS

Lower eGDR levels were associated with an increased risk of incident MASLD. Our findings suggest that eGDR may be a more effective tool for predicting MASLD risk.

Estimated Glucose Disposal Rate Associated With Risk of Frailty and Likelihood of Reversion

BACKGROUND

Estimated glucose disposal rate (eGDR) is a simple and effective measure for insulin resistance, which is associated with higher risk of frailty. We aim to analyse the associations of eGDR with frailty risk and its reversibility.

METHODS

A population-based longitudinal study was conducted of 11 670 participants from the China Health and Retirement Longitudinal Study and 19 355 participants from the Health and Retirement Study. Frailty was assessed by the frailty index and reversibility was measured by transitions from frailty at baseline to non-frailty during follow-up. The eGDR was divided into Q1, Q2, Q3 and Q4 according to the quartiles. Multi-state Markov model was performed to evaluate the effects of eGDR on transitions among non-frailty, frailty and death. Cox regression model was used to estimate eGDR associated with the risk of frailty and the likelihood of reversion.

RESULTS

In Chinese population characterized by a median age of 60 years (IQR: 54-66) with 6119 women (52.43%), compared with the Q1 level of eGDR, participants exposure to Q3 and Q4 level decreased the probability of transitioning from non-frailty to frailty by 22% (HR = 0.78, 95% CI: 0.69-0.88) and 25% (HR = 0.75, 95% CI: 0.66-0.86), respectively. But its Q2, Q3 and Q4 levels increased the probability of transitioning from frailty to non-frailty by 24% (HR = 1.24, 95% CI: 1.06-1.44), 39% (HR = 1.39, 95% CI: 1.19-1.64) and 33% (HR = 1.33, 95% CI: 1.13-1.58). In American population with a median age of 63 years (IQR: 56-72) and 11 189 women (57.81%), its Q2, Q3 and Q4 levels decreased the probability of transitioning from non-frailty to frailty by 17% (HR = 0.83, 95% CI: 0.77-0.89), 24% (HR = 0.76, 95% CI: 0.70-0.82) and 46% (HR = 0.54, 95% CI: 0.49-0.59), respectively. The probability of revising frailty increased by 25% (HR = 1.25, 95% CI: 1.13-1.38), 36% (HR = 1.36, 95% CI: 1.22-1.51) and 48% (HR = 1.48, 95% CI: 1.30-1.69) for levels Q2, Q3 and Q4. As shown in the prospective analysis, increased eGDR levels from Q2 to Q4 were associated with decreased frailty risk and higher likelihood of reversion, as evidenced by the dose-response relationship revealed by restricted cubic spline analysis.

CONCLUSIONS

Higher levels of eGDR were associated with a reduced risk of frailty, delayed transition from non-frailty to frailty and an increased likelihood of reversion. eGDR emerges as a promising predictor for early frailty detection, prognosis assessment and a potential therapeutic target for intervention strategies.

Correlation between estimated glucose disposal rate and diabetic depression: a population-based study

Background

Emerging evidence has identified a correlation between depression and insulin resistance (IR). This study aims to explore the correlation between estimated glucose disposal rate (eGDR)-a noninvasive and practical measure of IR-and depression in patients with diabetes mellitus (DM).

Methods

In this cross-sectional study, the data from 3,080 adults aged 18 years old or older with DM obtained from NHANES 1999-2018 were analyzed. The correlation between eGDR and depression were examined through multivariate logistic regression, subgroup analyses, restricted cubic spline (RCS) analysis, and interaction tests. Additionally, mediation analysis was conducted to assess whether leukocytes and neutrophils could mediate the effects of eGDR on depression.

Results

Multivariate logistic regression and RCS analyses demonstrate that eGDR was negative linearly correlated with diabetic depression (OR= 0.89; 95% CI: 0.84, 0.95). Patients with DM in Q3 and Q4 of eGDR exhibited a reduced risk of 28% and 54%, respectively, in depression, compared to those in Q1. Subgroup analyses, stratified by variables such as gender, BMI, age, education level, and medical comorbidities, consistently showed a negative correlation. Mediation analysis further indicates that neutrophils and leukocytes accounted for 4.0% and 3.6% of the correlation between eGDR and depression, respectively.

Conclusions

The results of this study demonstrated a statistically significant inverse linear correlation between eGDR and the prevalence of depression in patients with DM, with leukocytes and neutrophils acting as mediating factors in this correlation.

Association between estimated glucose disposal rate and metabolic syndrome: a cross-sectional analysis of the National Health and Nutrition Examination Survey

Metabolic syndrome (MS) is a complex metabolic disorder that is often closely associated with the development of chronic diseases such as cardiovascular disease and diabetes. This study aimed to explore the relationship between estimated glucose metabolic rate (eGDR) and MS. The correlation between eGDR levels and the prevalence of metabolic syndrome was analyzed here based on data from the National Health and Nutrition Examination Survey from 2005 to 2020. The study sample consisted of 63,131 adult participants, and the results showed that lower eGDR levels were significantly associated with a higher prevalence of metabolic syndrome. Further regression analyses showed that eGDR acted as a protective factor and that the risk of MS significantly decreased as its level increased. Subgroup analyses showed that this trend held across gender, age, and BMI categories, and that the protective effect of eGDR was weaker in the higher BMI group. Based on the nonlinear relationship between subjects' eGDR levels and MS prevalence, RCS analyses further confirmed a significant correlation between lower eGDR levels and increased risk of MS. In conclusion, the present study suggests that eGDR levels could serve as a potential biomarker for predicting metabolic syndrome, providing new perspectives for early screening and intervention of MS.

Association between estimated glucose disposal rate and prediabetes reversion and progression: a nationwide cohort study of middle-aged and elderly people in China

Objective

Prediabetes is a chronic condition characterized by elevated blood glucose levels that are not yet high enough to be classified as diabetes. It is particularly prevalent among middle-aged and elderly populations. This study aims to investigate the association between a novel marker of insulin resistance-the estimated glucose disposal rate (eGDR)-and the reversion of prediabetes to normoglycaemia or progression to diabetes in a Chinese population.

Methods

This prospective cohort study utilized baseline data from the 2011 China Health and Retirement Longitudinal Study involving 2,600 prediabetic participants aged 45 years and older, along with follow-up data from 2015. The study's endpoints were defined according to the American Diabetes Association criteria, including maintenance of the prediabetic state, reversion to normoglycaemia, or progression to diabetes. Multivariable Cox regression models and restricted cubic spline regression were used to assess the association between eGDR and the reversion or progression of prediabetes in middle-aged and elderly populations, followed by stratified analyses to explore potential population-specific dependencies.

Results

Over a median follow-up period of 4 years, 1,615 (62.1%) participants remained in the prediabetic state, 586 (22.5%) reverted to normoglycaemia, and 399 (15.3%) progressed to diabetes. In multivariable Cox regression analyses, our results indicated that eGDR was positively associated with the reversion of prediabetes to normoglycaemia [Hazard Ratio = 1.14, 95% Confidence Interval: 1.05, 1.23], and negatively associated with the progression of prediabetes to diabetes (HR = 0.81, 95% CI: 0.70, 0.93). Restricted cubic spline analysis revealed a nonlinear, L-shaped association between eGDR and the reversion of prediabetes to normoglycaemia, with segmented Cox regression identifying an eGDR threshold of 6.81 as the point of significant change in the likelihood of prediabetes reversion.

Conclusion

This prospective cohort study among middle-aged and elderly Chinese populations suggested that higher eGDR promoted the reversion of prediabetes and provided a protective effect against its progression to diabetes.

Estimated glucose processing rates and the association of chronic kidney disease and proteinuria in non-diabetic adults

The study, which was based on NHANES data (1999-2018), included 21,234 nondiabetic individuals aged 20 years and older to investigate the associations between the estimated glucose disposal rate (eGDR) and the risk of chronic kidney disease (CKD) and proteinuria. CKD was defined as an estimated glomerular filtration rate (eGFR) less than 60 mL/min/1.73 m2, and proteinuria was defined as a urinary albumin-to-creatinine ratio (UACR) exceeding 30 mg/g. The results demonstrated a significant inverse association between eGDR levels and the risks of CKD and proteinuria. After adjusting for potential confounders, the association between eGDR and CKD showed that, compared with those for Q1, the adjusted odds ratios (ORs) for Q2, Q3, and Q4 were 0.82 (95% CI: 0.61-1.11), 0.62 (95% CI: 0.39-0.98), and 0.55 (95% CI: 0.28-1.05), respectively. For the relationship between eGDR and proteinuria, the adjusted ORs for Q2, Q3, and Q4 were 0.54 (95% CI: 0.42-0.69), 0.41 (95% CI: 0.27-0.62), and 0.65 (95% CI: 0.43-0.98), respectively. Moreover, each standard deviation increase in eGDR was associated with a 9% reduction in CKD risk (OR: 0.91, 95% CI: 0.85-0.98) and a 13% reduction in proteinuria risk (OR: 0.87, 95% CI: 0.82-0.93). Further adjustments via restricted cubic spline (RCS) regression analysis revealed a significant nonlinear relationship between eGDR and CKD and a U-shaped relationship between eGDR and proteinuria. A lower risk of proteinuria was observed when eGDR levels were between 8.70 and 9.91. These findings, combined with those of previous studies, suggest that eGDR may serve as a potential alternative metric for insulin resistance (IR). In nondiabetic individuals, the eGDR was significantly associated with the risk of CKD and proteinuria, with a notable nonlinear pattern in these relationships.

The association between estimated glucose disposal rate and metabolic dysfunction-associated steatotic liver disease and liver fibrosis in US adults

BACKGROUND

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease, also considered a metabolic syndrome, and is associated with poor prognosis. eGDR (estimated glucose disposal rate) is a new biomarker to assessment insulin resistance (IR). The association between eGDR and MASLD and liver fibrosis is currently unclear.

OBJECTIVE

The aim of this cross-sectional study is to appraise the association between eGDR and MASLD and liver fibrosis.

METHODS

This study have enrolled 3,100 participants from the 2017-2018 National Health and Nutrition Examination Surveys (NHANES). Binary logistic regression analysis was used to assess the association between eGDR and MASLD and liver fibrosis. Receiver operating characteristic (ROC) was applied to estimate the ability of eGDR to identify MASLD.

RESULTS

The mean age of the subjects was 54.59 (17.29) years, and 49.26% were female. The prevalence of MASLD and liver fibrosis was 62.19% and 11.15%, respectively. In the fully adjusted models, there were negative associations of eGDR with the controlled attenuation parameter (CAP) and liver stiffness measurement (LSM), with βs of -15.18 and - 0.74 (all p < 0.01), respectively. There were negative associations of eGDR with MASLD and liver fibrosis, with odds ratios (ORs) and 95% confidence intervals of 0.53 (95% CI: 0.48-0.74) and 0.40 (95% CI: 0.28-0.57) (all p < 0.01). The area under the curve (AUC) of the eGDR for identifying MASLD and liver fibrosis is 0.74 and 0.75, respectively.

CONCLUSION

The study findings suggest a significant association between eGDR and MASLD as well as liver fibrosis. eGDR may serve as a biomarker for identifying MASLD.

Estimated glucose disposal rate and microvascular complications of diabetes mellitus type I: A systematic review and meta-analysis

Objectives: This study aims to assess the association between the estimated glucose disposal rate (eGDR) and the risk of diabetic microvascular complications in patients with T1DM.Methods: A systematic search of PubMed, Scopus, and Web of Science was conducted up to August 2024, including studies that examined the relationship between eGDR and diabetic retinopathy (DR), diabetic kidney disease (DKD), and diabetic neuropathy (DN) in patients with T1DM. A meta-analysis was performed to compare the eGDR values in patients with and without microvascular complications and assess the risk of these complications.Results: 22 studies were included. Lower eGDR values were significantly associated with a higher risk of microvascular complications. Specifically, a one-unit increase in eGDR was associated with a 18% reduction in the risk of DKD (ES: 0.82, 95% CI: 0.74-0.92), a 21% reduction in the risk of DR (OR: 0.79, 95% CI: 0.73-0.85). Patients with DKD, DR, and DN had eGDR values significantly lower by 1.29, 0.75, and 0.64 units, respectively, compared to those without complications.Conclusion: This meta-analysis highlights the potential role of eGDR as a non-invasive marker for the early detection of microvascular complications, highlighting the importance of regular eGDR monitoring to facilitate timely interventions.

Estimated Glucose Disposal Rate: A Potential Determinant for Microvascular and Macrovascular Complications in Type 2 Diabetes

OBJECTIVE

This study investigates the association between estimated glucose disposal rate (eGDR), a measurement of insulin resistance, and microvascular and macrovascular complications in patients with type 2 diabetes (T2D).

METHODS

This cross-sectional study enrolled 7471 patients with T2D from 2010 to 2023. The eGDR was calculated using waist circumference, HbA1C levels, and hypertension status. Logistic regression analysis and restricted cubic splines were utilised to examine the relationship between eGDR and vascular complications, including nephropathy, retinopathy, and coronary artery disease (CAD). The robustness of the results and between-group interactions were examined by sensitivity and subgroup analysis. Furthermore, receiver operating characteristic (ROC) curve analysis was employed to assess the discriminatory value of the adjusted model for T2D vascular complications.

RESULTS

Among participants, 56.5% were female, with a mean age of 57.04 ± 11.05 years and a median of 8 years of diabetes duration. In the final adjusted model, each unit increase in the standard deviation of eGDR was significantly associated with a 23.6%, 24.8% and 29.6% decrease in the odds of nephropathy, retinopathy, and CAD, respectively. There was a significant association between higher eGDR quartiles compared to Q1 for all complications (p < 0.05). The Q4 group had the lowest adjusted odds ratios (ORs) compared to the Q1 group for all complications; the OR of Q4 was 0.549 for nephropathy, 0.360 for retinopathy, and 0.396 for CAD (p < 0.001). The restricted cubic spline for nephropathy followed a negative nonlinear association with eGDR, whereas for retinopathy and CAD, it followed a negative linear pattern. The effect of eGDR was consistent among different subgroups. The ROC curve analysis of the adjusted model showed good discriminatory power for all complications.

CONCLUSION

In patients with type 2 diabetes, a higher eGDR was significantly associated with a lower risk of microvascular and macrovascular complications, regardless of well-known confounders.

Urinary Fetuin-A with Specific Post-Translational Modification in Type 1 Diabetes Patients with Normoalbuminuria and Preserved Kidney Function

Background/Objectives: Post-translationally modified peptide fragments of fetuin-A (FetA) were identified as a potential biomarker of diabetic kidney disease (DKD). An independent association between urinary FetA-derived peptide levels (uPTM3-FetA) and DKD progression in patients with type 2 diabetes (T2D) was evidenced. This study aimed to explore uPTM3-FetA excretion and its associations with insulin resistance, inflammatory and metabolic biomarkers in patients with type 1 diabetes (T1D), and the normal albuminuria and estimated glomerular filtration rate (eGFR) > 60 mL/min/1.73 m2. Methods: uPTM3-FetA levels in aliquots of 24 h urine specimens, routine laboratory renal, metabolic and inflammatory tests, adipokines (leptin, adiponectin, resistin), and insulin resistance, assessed as the estimated glucose disposal rate (eGDR), were measured in a cohort of 169 adult T1D patients. To evaluate the changes in early renal dysfunction, the cohort was divided according to the median eGFR. Above- and below-median-eGFR groups were considered as having normal and declining kidney function, respectively. Results: The median (IQR) uPTM3-FetA level was 11.7 (8.43-16.65 µg/24 h), with no significant difference between males and females, as well as normal and declining kidney function patients. However, a sex-specific analysis revealed a significantly higher uPTM3-FetA excretion in male T1D patients with lower eGFRs, when compared to those with higher eGFRs, whereas no such difference was observed in female patients. BMI, hs-CRP, resistin and HDL-cholesterol were identified as independent predictors of uPTM3-FetA excretion. Conclusions: Our results implicate the potential role of uPTM3-FetA in the detection of an early renal dysfunction in male patients with T1DM and pinpoint the importance of a sex-specific approach in diabetes diagnostics and research.

Assessment of six insulin resistance surrogate indexes for predicting stroke incidence in Chinese middle-aged and elderly populations with abnormal glucose metabolism: a nationwide prospective cohort study

BACKGROUND

Estimate glucose disposal rate (eGDR), Chinese visceral adiposity index (CVAI), triglyceride-glucose (TyG), TyG-body mass index (TyG-BMI), metabolic score for insulin resistance (METS-IR), and atherogenic index of plasma (AIP) are considered surrogate indexes of insulin resistance (IR). There is a lack of studies comparing the predictive values of different IR surrogate indexes for stroke risk among individuals with abnormal glucose metabolism. This study aimed to investigate the relationships between six IR surrogate indexes and stroke risk in individuals with abnormal glucose metabolism, evaluate their predictive abilities for stroke risk.

METHODS

Data from the China Health and Retirement Longitudinal Study (CHARLS) were analysed in this study. Multivariate logistic regression models were applied to analyse the relationships of IR surrogate indexes with stroke risk. The dose-response relationships between IR surrogate indexes and stroke risk were explored using restricted cubic splines. The areas under the curve (AUCs) of IR surrogate indexes were calculated by receiver operating characteristic (ROC) analysis.

RESULTS

After adjusting for potential confounders, we observed that each standard deviation (SD) increase in eGDR was associated with a reduced risk of stroke, with an adjusted odds ratio (OR) of 0.746 [95% confidence interval (CI): 0.661-0.842]. In contrast, each SD increase in CVAI, TyG, TyG-BMI, METS-IR, and AIP were associated with an increased risk of stroke, with adjusted ORs (95% CIs) of 1.232 (1.106-1.373), 1.246 (1.050-1.479), 1.186 (1.022-1.376), 1.222 (1.069-1.396), and 1.193 (1.050-1.355), respectively. Dose-response analyses showed that eGDR, CVAI, TyG-BMI and METS-IR were linearly associated with stroke risk (Pnonlinear ≥ 0.05), whereas TyG and AIP were nonlinearly associated with stroke risk (Pnonlinear < 0.05). According to ROC analysis, The AUC of eGDR for predicting stroke risk in the overall population with abnormal glucose metabolism (AUC: 0.612, 95% CI: 0.584-0.640) was significantly higher than that of other indexes.

CONCLUSION

The six IR surrogate indexes were closely associated with high risk of stroke in individuals with abnormal glucose metabolism. The eGDR showed promising potential in predicting stroke risk in Chinese middle-aged and elderly populations with abnormal glucose metabolism.

Sex-specific associations between estimated glucose disposal rate and cognitive decline in middle-aged and older adults in China: a longitudinal cohort study

Background

Insulin resistance (IR) is recognized as a potential modifiable risk factor for cognitive decline, but findings within Asian populations have been inconsistent. Given the high prevalence of dementia and its substantial economic burden in China, large-scale longitudinal studies are essential to elucidate the complex relationship between IR and cognitive function.

Methods

This longitudinal cohort study included 8,734 middle-aged and older adults (median age: 58 years; 53.6% females) from the China Health and Retirement Longitudinal Study (CHARLS), followed from 2011 to 2018. Estimated glucose disposal rate (eGDR) was used to assess IR and was calculated using waist circumference, hypertension status, and HbA1c levels. Participants were categorized into tertiles based on eGDR levels (Tertile 1: lowest; Tertile 3: highest). Cognitive function was calculated as the sum of episodic memory and executive function scores, which was then standardized to a Z-score. Linear mixed-effects models and dose-response analyses were performed to evaluate the association between baseline eGDR and cognitive changes in the total population and stratified by sex.

Results

Higher eGDR levels were significantly associated with slower global cognitive decline (Tertile 3 vs. Tertile 1: β = 0.007; 95% CI: 0.000-0.014; P = 0.047). This association was stronger in females (Tertile 3 vs. Tertile 1: β = 0.011; 95% CI: 0.002-0.021; P = 0.021), while no significant association was observed in males. Dose-response analyses indicated a linear positive relationship between baseline eGDR and global cognitive function in the total population and in females, but not in males. Similar patterns were found for episodic memory and executive function, with significant associations predominantly in females.

Conclusion

Higher eGDR was significantly associated with slower cognitive decline, particularly among women. These findings underscore the potential of eGDR as a marker for identifying and mitigating cognitive decline and highlight the importance of sex-specific strategies to address insulin resistance and promote cognitive health.

Sarcopenia and Insulin Resistance Collective Effect on Atrial Fibrillation Risk: A Non-Diabetic Elderly Cohort Study

BACKGROUND

Appendicular skeletal muscle mass index (ASMI), a crucial indicator of sarcopenia and estimated glucose disposal rate (eGDR), a surrogate marker of insulin resistance (IR), are associated with the risk of cardiovascular diseases. However, it remains unclear whether the collective effects, including the impact of the temporal progression of ASMI and eGDR, affect atrial fibrillation (AF) risk. This study aims to elucidate the association between the collective effects of ASMI and eGDR and AF risk in the non-diabetic older population.

METHODS

A total of 8060 non-diabetic older individuals from a community-based cohort study were used to prospectively analyse the association between the collective effects of baseline ASMI and eGDR and AF risk. Among them, 7651 were eligible and used for dual-trajectory analysis of the association between dual trajectory of ASMI and eGDR and AF risk. The temporal development of ASMI and eGDR over time was determined using a dual-trajectory model. Statistical analyses involved restricted cubic splines and Fine-Gray competing risk models, adjusting for potential confounders.

RESULTS

In the prospective analysis, the hazard ratio (HR) of AF was 1.762 (95% confidence interval [CI]: 1.528-2.032) in the low ASMI group compared to the normal ASMI group in total participants. Restricted cubic splines analysis demonstrated L-shaped associations between AF risk and ASMI and eGDR, with inflection points at 7.23 kg/m2 and 7.85 mg/kg/min, respectively. Low ASMI and moderate and low eGDR exhibited a significant interplay for increasing AF risk (HR: 1.290 and 1.666, 95% CI: 1.136-1.464 and 1.492-1.861, respectively, padj. < 0.001). One-SD increment ASMI and eGDR synergistically reduced AF risk (HR: 0.896, 95% CI: 0.839-0.957, padj. < 0.001). In the dual-trajectory analysis for total participants, five distinct dual trajectories of ASMI and eGDR were identified. Group 4, characterized by moderate-stable ASMI and moderate-stable eGDR, exhibited the lowest incidence of AF (7.03 per 1000 person-years) and was used as a reference for further analyses. Group 1, characterized by high-decrease ASMI and high-decrease eGDR, had the highest AF risk (HR: 2.255, 95% CI: 1.769-2.876, padj. < 0.001), followed by Group 5, with high-decrease ASMI and low-stable eGDR (HR: 1.893, 95% CI: 1.491-2.403, padj. < 0.001) when compared to Group 4 after adjustment for potential confounders including baseline ASMI and eGDR.

CONCLUSIONS

The collective effects of ASMI and eGDR are significantly associated with AF risk in the non-diabetic older population. Collective management of skeletal muscle mass and IR might be a useful and effective management strategy for preventing and controlling AF.

The Impact of Sodium-Glucose Co-Transporter-2 Inhibition on Insulin Resistance and Inflammation in Patients with Type 2 Diabetes: A Retrospective Study

Background and Objectives: Insulin resistance (IR) is a key factor involved in the development of type 2 diabetes (T2D). Besides its role in the pathogenesis of T2D, insulin resistance is associated with impairment of glycemic control, reduced achievement of glycemic targets, and increases in cardiovascular risk and diabetes complications, being thus a negative prognosis factor. Sodium-glucose co-transporter-2 inhibitors (SGLT2i) are therapies for T2D which demonstrated, besides glycemic control, improvements of biomarkers traditionally associated with IR and inflammation. This study aimed to evaluate the impact of SGLT2i treatment on IR and inflammation biomarkers in patients with T2D. Materials and Methods: In a retrospective study, 246 patients with T2D treated with SGLT2i for a median of 5 years were evaluated regarding IR (estimated glucose disposal rate-eGDR, triglyceride/glucose index, triglyceride/HDLc index) and inflammation biomarkers (neutrophils to lymphocyte ratio, platelets to lymphocytes ratio and C-reactive protein) before and after intervention with SGLT2i. Results: After a median 5 years of SGLT2i treatment, patients with T2D had a higher eGDR (6.07 vs. 5.24 mg/kg/min; p < 0.001), lower triglyceride/HDLc ratio (3.34 vs. 3.52, p < 0.001) and lower triglyceride/glucose index (9.23 vs. 9.58; p < 0.001). The inflammation biomarkers decreased after SGLT2i therapy: C-reactive protein (3.07 mg/L vs. 4.37 mg/L), NLR (0.68 vs. 0.72; p < 0.001), and PLR (115 vs. 122; p < 0.001). Intervention with SGLT2i also improved the biomarkers associated with diabetes complications and cardiovascular risk: HbA1c (7.1% vs. 8.4%; p < 0.001), body mass index (30.0 vs. 31.5 kg/m2; p < 0.001) and urinary albumin to creatinine ratio (4.75 vs. 11.00 mg/g; p < 0.001). Conclusions: Treatment with SGLT2i in patients with T2D leads to decreases in IR and inflammation. These mechanisms may partially explain the additional cardiovascular and renal risk reductions associated with SGLT2i therapy, alongside the improvements in glycemic control, in patients with T2D.

Correlation between estimated glucose disposal rate, insulin resistance, and cardiovascular mortality among individuals with metabolic syndrome: a population-based analysis, evidence from NHANES 1999-2018

BACKGROUND

Estimated glucose disposal rate (eGDR), is an index of insulin resistance. It is intimately correlated with inflammation and endothelial dysfunction, both of which are contributory factors in the pathogenesis of cardiovascular disease (CVD) and premature mortality. This study aims to explore the correlation between eGDR and both all-cause and CVD-related mortality in adults with metabolic syndrome (MetS).

METHODS

A total of 8215 subjects with MetS screened from the National Health and Nutrition Examination Survey (NHANES) during the period from 1999 to 2018 were evaluated for the predictive value of eGDR for CVD and all-cause mortality.

RESULTS

Over a median follow-up for 8.3 years, a total of 1537 all-cause deaths (18.7%) and 467 CVD-related deaths (5.7%) were recorded. Logistic regression analyses revealed a significant inverse correlation between eGDR and the risk of having CVD (OR:0.845, 95%CI:0.807-0.884, p < 0.01). Multivariate Cox regression analysis and restricted cubic splines analysis demonstrated that eGDR is non-linearly correlated with both the mortality of CVD (HR: 0.906, 95% CI: 0.850-0.967, p = 0.003) and all-cause mortality (HR: 0.944, 95% CI: 0.912-0.977, p = 0.001), with an identified inflection point at 5.918. Further subgroup analyses indicated a more pronounced correlation between eGDR and all-cause mortality in individuals under 60 years old (HR: 0.893, 95%CI:0.823-0.970) or those with obesity (HR:0.891, 95%CI:0.839-0.946). Mediation analysis revealed that neutrophil to lymphocyte ratio mediated 8.9% of the correlation between eGDR and all-cause mortality.

CONCLUSION

This study demonstrates, for the first time, that a decrease in eGDR is associated with an increased risk of all-cause and CVD mortality in adults with MetS. The eGDR indices could serve as surrogate biomarkers for monitoring patients with MetS.

Glycated Haemoglobin (HbA1C) in Cardiac Surgery: A Narrative Review

Background: Perioperative dysglycaemia in cardiac surgery is associated with poor outcomes. Glycaemic variability rather than glucose levels is a predictor of the length of an ICU stay, a rise in creatinine and acute kidney injury after cardiac surgery. Glycated haemoglobin (HbA1C) values correspond closely to average blood glucose levels and cut-off values can be used to define a diabetic and pre-diabetic status. These have been correlated with perioperative events. Methods: In this narrative review, MEDLINE (via PubMed) and the Cochrane Library were used to search for the effects of different preoperative HbA1C levels on the postoperative outcomes after cardiac surgery. HbA1C values correspond closely with average blood glucose levels and cut-off values can be used to define a diabetic and pre-diabetic status; these have been correlated with perioperative events. This narrative review discusses the role of HbA1C in cardiac surgery. Discussion: The scientific data show controversial results: some systematic reviews and randomised control trials demonstrated that a high level of HbA1C seems to be an indicator for postoperative complications in cardiac surgery; other studies dissented and reported that mortality and morbidity cannot be directly attributed to HbA1c levels. Conclusions: The scientific community seems to be in general agreement that high levels of HbA1C are prognostic markers of adverse outcomes post cardiac surgery, but it has also been proved that there could be multiple underlying factors contributing to them.

Association between estimated glucose disposal rate and kidney function decline in different glucose tolerance statuses from the 4 C study

AIMS

To investigate the association between estimated glucose disposal rate (eGDR) and kidney function decline among populations with different glucose tolerance statuses including normal glucose tolerance (NGT), prediabetes, and diabetes.

METHODS

The present study analyzed 5,069 participants from a cohort study. The association between eGDR and kidney function decline was assessed using binary logistic regression. Restricted cubic splines (RCS) analyses were also performed to investigate the dose-dependent associations.

RESULTS

During up to 5 years of follow-up, 116 (2.30%) individuals experienced kidney function decline. Binary logistic regression showed that an increased level of eGDR was associated with decreased risk of kidney function decline after full adjustment, in all participants (Q4 vs. Q1 HR 0.13, 95% CI 0.05-0.30, p = 0.001), prediabetes (Q4 vs. Q1HR 0.11, 95% CI 0.01-0.44, p = 0.007), and diabetes (Q4 vs. Q1 HR 0.06, 95% CI 0.00-0.37, p = 0.012), but not in those with NGT. RCS analyses suggested dose-dependent relationships of eGDR with the risk of kidney function decline in all participants (L-shaped curve) and those with prediabetes (inverted U-shaped curve) and diabetes (L-shaped curve).

CONCLUSIONS

The association between elevated baseline eGDR and reduced risk of kidney function decline was significant in participants with prediabetes and diabetes, but not in those with NGT. These dose-dependent associations may have important implications for the assessment of high-risk patients by healthcare professionals and may lead to the development of more tailored and effective prevention strategies.

Interventions Targeting Insulin Resistance in Patients with Type 1 Diabetes: A Narrative Review

Background and Objectives: Insulin resistance (IR) is the most important factor involved in the pathogenesis of type 2 diabetes but may also develop in type 1 diabetes (T1DM). Developing IR in patients with T1DM may generate a burden in achieving glycemic targets and may deteriorate the overall prognosis. This review aims to describe the pathogenesis of IR in T1DM, summarize the common associations of IR with other conditions in patients with T1DM, describe the consequences of developing IR in these patients, and present the interventions that target IR in people with T1DM. Results: The occurrence of IR in T1DM is multifactorial; however, it is frequently linked to overweight or obesity and sedentary lifestyle. Besides impairments in glycemic control and increased insulin requirements, the presence of IR is associated with an increased cardiovascular risk in patients with T1DM. Considering that patients with T1DM are insulin-treated, IR may be evaluated only using surrogate biomarkers, the most frequently used being the estimated glucose disposal rate. The most important interventions that are shown to be feasible in improving insulin sensitivity in patients with T1DM are lifestyle optimizations, including nutrition therapy or physical activity and pharmacotherapy with metformin, sodium-glucose cotransporter-2 inhibitors, glucagon-like peptide-1 receptor agonists, and thiazolidinediones. Conclusions: Targeting the improvement of IR in patients with T1DM is a key element in achieving optimal glycemic control, as well as improving the overall patient's prognosis besides glycemic control.

Impaired insulin sensitivity measured by estimated glucose disposal rate is associated with decreased myocardial mechano-energetic efficiency in non-diabetic individuals

BACKGROUND AND AIMS

Impaired myocardial mechano-energetic efficiency (MEE) has been associated with cardiac insulin resistance measured by dynamic positron emission tomography (PET) with 18F-fluorodeoxyglucose (18F-FDG) combined with euglycemic-hyperinsulinemic clamp. Estimate glucose disposal rate (eGDR) index has a good correlation with whole-body insulin sensitivity. It remains unsettled whether eGDR index is a suitable proxy of cardiac insulin sensitivity as well as its association with myocardial MEE. The aims of this study were: 1) to compare eGDR index with HOMA-IR, QUICKI and FIRI indexes for association with myocardial glucose metabolic rate (MrGlu); and 2) to determine the association of eGDR index with myocardial MEE.

METHODS

We evaluated MrGlu using PET with 18F-FDG combined with euglycemic-hyperinsulinemic clamp in 50 individuals without history of coronary heart disease. Myocardial MEE per gram of left ventricular mass (MEEi) was measured in 1181 subjects by echocardiography. eGDR (mg kg-1/min) was calculated as: 21.158 - (0.09 × waist circumference in cm) - (3.407 × hypertension, 1 = yes 0 = no) - (0.551 × HbA1c%).

RESULTS

eGDR index was more strongly associated with myocardial MrGlu than HOMA-IR, QUICKI, and FIRI indexes (r = -0.662, r = -0.492, r = 0.570, and r = -0.492, respectively). Individuals in the lower tertiles of eGDR exhibited a significant reduction of MEEi as compared to those in the highest tertile (P < 0.001). In a stepwise multivariate linear regression analysis eGDR index was the major determinant of MEEi independently of well-established cardio-metabolic risk factors.

CONCLUSIONS

These data suggest that the eGDR index may be a useful marker to identifying individuals at high cardiovascular risk.

Relationship between stroke and estimated glucose disposal rate: results from two prospective cohort studies

BACKGROUND

Insulin resistance (IR) is a recognized contributor to stroke association, and the estimated glucose disposal rate (eGDR) is a dependable indicator of IR. However, the specific connections between eGDR, stroke prevalence, and overall mortality have not been thoroughly investigated. This study aimed to examine how eGDR correlates with stroke and overall death rate.

METHODS

The study leveraged information from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2016. To unravel the data, the team utilized logistic regression, cox proportional hazards models, and restricted cubic splines (RCS) Sensitivity analyses excluded participants with a stroke history within the previous two years. Results were validated through analysis of the China Health and Retirement Longitudinal Study (CHARLS).

RESULTS

A higher eGDR is like a protective shield against strokes, with those in the top eGDR quartile exhibited a 60% reduction in stroke association (OR = 0.40, 95% CI, 0.22-0.73, P = 0.003). Additionally, a higher eGDR correlates with a lower overall death rate (HR = 0.71, 95% CI, 0.52-0.98, P = 0.037), particularly in individuals without a history of stroke. RCS analysis demonstrated that eGDR's influence on stroke association follows a non-linear pattern. Subgroup analysis revealed that the protective effect of eGDR was stronger in non-diabetic and non-hypertensive individuals.

CONCLUSION

eGDR is inversely related to both stroke association and mortality, affirming its utility as a predictive marker of stroke.

Evaluation of Estimated Glucose Disposal Rate with Neutrophil-to-Lymphocyte Ratio Integrated for Prognosticating Adverse Cardiovascular and Cerebrovascular Events and Risk Stratification Among Acute Coronary Syndrome with Type 2 Diabetes Mellitus Following Percutaneous Coronary Intervention

Objective

This research aimed to address the critical need for effective prognostic tools in patients with acute coronary syndrome (ACS) and type 2 diabetes mellitus (T2DM) undergoing percutaneous coronary intervention (PCI) by exploring the potential significance of integrating estimated glucose disposal rate (eGDR) and neutrophil-to-lymphocyte ratio (NLR).

Methods

Major adverse cardiovascular and cerebrovascular events (MACCE) were the primary endpoint. Log rank test was conducted to compare the Kaplan-Meier curves across the overall follow-up period, and multivariate Cox regression was used to investigate the association between the eGDR/NLR and MACCE.

Results

One hundred fifty-four patients (9.5%) experienced MACCE including 15 cardiac deaths, 97 nonfatal MI, 120 TVR, and 10 strokes. Patients were distributed into low and high eGDR/NLR groups (lower eGDR [eGDR-L] group, higher eGDR [eGDR-H] group, lower NLR [NLR-L] group, and higher NLR [NLR-H] group) based on the median value of eGDR and NLR, further divided into four groups: eGDR-L + NLR-L, eGDR-H + NLR-L, eGDR-L + NLR-H, and eGDR-H + NLR-H. eGDR-L + NLR-H group exhibited significantly higher risks of MACCE (17.4%), compared to another three groups. An independent correlation between eGDR/NLR and MACCE was demonstrated by Cox regression analysis, establishing if the eGDR and NLR was treated as a continuous or categorical variable. Compared to eGDR-H + NLR-L group, patients in eGDR-L + NLR-H group had the uppermost MACCE risk (HR: 5.201; 95% CI 2.764-7.786; P < 0.001). A linear relationship between eGDR/ NLR and MACCE was showed by restricted cubic spline curves. Incorporating the eGDR and NLR toward the baseline risk model developed the precision of forecasting MACCE (baseline risk model-AUC: 0.611 vs baseline risk model + eGDR + NLR-AUC: 0.695, P < 0.001).

Conclusion

Combining eGDR with NLR can be utilized to forecast long-term MACCE and substantially improve the accuracy of risk stratification in ACS patients with T2DM following PCI.

Association between estimated glucose disposal rate and female infertility: a cross-sectional study

Background

Insulin resistance (IR) can lead to infertility in women. The primary objective of this research was to examine how estimated glucose disposal rate (eGDR) correlates with infertility in women, assessing its validity as an indicator of IR.

Methods

Data from the National Health and Nutrition Examination Survey spanning 2013 to 2018 were analyzed in this study. In order to investigate the correlation between eGDR and the prevalence of female infertility, this study used a combination of weighted multivariate regression analysis, restricted cubic spline (RCS) analysis, subgroup analyses, sensitive analysis, and receiver operating characteristic (ROC) curves.

Results

This study enrolled 2541 women, with an average age of (32.52 ± 0.23) years. The overall infertility rate was 14.27%. A negative relationship was observed between eGDR levels and female infertility. Each increment of one unit in eGDR was linked to a 14% reduction in infertility incidence (OR = 0.86, 95% CI 0.80-0.94). RCS analysis revealed a nonlinear, inverse correlation between eGDR and female infertility. Subgroup analyses indicated that age influenced the association between eGDR and female infertility. The ROC curve suggested that eGDR was significantly better than HOMA-IR in predicting infertility [eGDR: 0.632 (95% CI: 0.603, 0.660) vs. HOMA-IR: 0.543 (95% CI: 0.514, 0.572)].

Conclusion

There was an observed association where lower eGDR levels were linked with higher rates of female infertility. These results emphasize the significance of implementing measures to manage IR to protect women's reproductive health.

Estimated glucose disposal rate is correlated with increased depression: a population-based study

BACKGROUND

Recent studies have identified a correlation between insulin resistance (IR) and depression. This study aims to explore the correlation between estimated glucose disposal rate (eGDR), a practical and noninvasive measure for assessing IR, and depression in the general population.

METHODS

In this population-based cross-sectional study, data from 28,444 adults aged 18 years old or older in the NHANES during the period from 1999 to 2018 were analyzed. The correlation between eGDR and depression was examined through multivariate logistic regression analyses, subgroup analyses, restricted cubic spline, and interaction tests. Furthermore, a mediation analysis was conducted to elucidate the role of the atherogenic index of plasma (AIP) in mediating the effect of eGDR on depression.

RESULTS

Multivariate logistic regression analysis and restricted cubic splines analysis indicated that eGDR can exhibit a linearly correlation with depression (OR = 0.913; 95% CI: 0.875, 0.953). Subjects in eGDR6-8 and eGDR > 8 groups had a decrease risk of depression as 25.4% and 41.5% than those in the eGDR < 4 group. This negative correlation was more pronounced in those with obesity. Mediation analysis indicated that AIP mediated 9.6% of the correlation between eGDR and depression.

CONCLUSIONS

eGDR was linear negatively correlated with depression, with AIP playing a mediating role. This study provides a novel perspective on the mechanism connecting IR to depression. Managing IR and monitoring AIP may contribute to alleviating depression.

Physical activity and sedentary behaviour in relation to body composition, estimated insulin sensitivity and arterial stiffness in adults with type 1 diabetes

AIMS

To examine the association of daily PA levels and sedentary behaviour with body composition, estimated insulin sensitivity, and arterial stiffness in adults with type 1 diabetes (T1D).

METHODS

Cross-sectional study in adults with T1D (n = 54). PA levels (daily steps, and time in moderate-to-vigorous intensity PA (MVPA)) and sedentary behaviour were measured using accelerometry for 7 days (McRoberts® DynaPort MoveMonitor). Cardiopulmonary exercise test for VO2max. Anthropometrics were collected, and body composition (total and % of fat mass (FMtot, FM%), total and % of lean mass (LMtot, LM%), and estimated visceral adipose tissue (VAT)) volume was assessed with dual energy X-ray-absorptiometry (DXA). Estimates of insulin sensitivity were determined (estimated glucose disposal rate (eGDR) and total daily insulin dose). Arterial stiffness was assessed with carotid-femoral pulse wave velocity (cf-PWV (m/s); SphygmoCor®).

RESULTS

Lower 10-years HbA1c associated moderately with all PA measures. Favourable moderate associations were also found between PA measures and BMI, waist, VAT but not FM and LM. PA measures were favourably associated with a lower total daily insulin dose and higher eGDR. All PA parameters associated moderately with cf-PWV however not independent from traditional risk factors. VO2max was inversely associated with cf-PWV independent of age, T1D duration and 24-hour mean blood pressure.

CONCLUSIONS

Higher levels of PA, lower sedentary behaviour and greater exercise capacity are favourably associated with long-term glycaemic control, body composition, insulin dosage, estimated insulin sensitivity and arterial stiffness in adults with T1D. Therefore, regular PA and limiting sedentary time should be encouraged to improve metabolic and cardiovascular health in this population. Future longitudinal studies should explore mutual interactions and synergistic effects of PA on these outcomes.

Estimated glucose disposal rate and risk of cardiovascular disease and mortality in U.S. adults with prediabetes: a nationwide cross-sectional and prospective cohort study

AIMS

Estimated glucose disposal rate (eGDR), a noninvasive and convenient measure of insulin resistance, has been demonstrated to be associated with mortality in both type 1 and type 2 diabetes. We aimed to explore whether eGDR is associated with cardiovascular disease (CVD) risk and mortality in prediabetic adults.

METHODS

A nationwide population-based cohort of prediabetic individuals from the National Health and Nutrition Examination Survey 1999-2018 with available data on eGDR was included and categorized into eGDR ≥ 8 (reference), 6-7.99, 4-5.99, and < 4 mg/kg/min groups. Cox proportional hazards model was used to estimate the associations of eGDR with mortality.

RESULTS

A total of 4725 prediabetic adults, 60.12% men, mean age 48 years were included. The odds ratio and 95% confidence interval (CI) for CVD risk were 1.74 (1.08-2.78), 2.90 (1.79-4.67), and 4.58 (2.15-9.76) for the eGDR 6-7.99, 4-5.99, and < 4 mg/kg/min groups, respectively, compared with the reference group. There were 410 deaths (116 CVD-related) during a median follow-up of 107 months in 4,332 participants without baseline CVD. The hazard ratios and 95%CI for the eGDR 6-7.99, 4-5.99, and < 4 mg/kg/min groups were 1.70 (1.23-2.35), 2.01 (1.45-2.77), and 1.84 (1.11-3.04), respectively, for all-cause mortality (P for trend < 0.0001), and 3.84 (2.04-7.21), 4.01 (2.01-8.00), and 2.88 (1.03-8.06), respectively, for CVD mortality (P for trend = 0.01). Smoking status significantly modified the associations between eGDR and all-cause or CVD mortality.

CONCLUSIONS

Increased insulin resistance, as indicated by a lower eGDR, is associated with increased risks of all-cause and CVD mortality in U.S. prediabetic adults.

Association of estimated glucose disposal rate with incident cardiovascular disease under different metabolic and circadian rhythm states: findings from a national population-based prospective cohort study

BACKGROUND

Recent studies have shown that both metabolic syndrome and circadian rhythm syndrome are firmly associated with the occurrence of cardiovascular disease (CVD), with insulin resistance playing a significant role. The estimated glucose disposal rate (eGDR) is considered to be a reliable surrogate marker for insulin resistance. However, the relationship between eGDR and CVD under different metabolic and circadian rhythm states has not been thoroughly studied, and large-scale prospective cohort studies are needed to clarify this relationship.

METHODS

This study is based on the China Health and Retirement Longitudinal Study (CHARLS), recruiting individuals aged 45 and above with complete eGDR data. The eGDR was calculated by the formula: eGDR(mg/kg/min) = 21.158 - (0.09 × WC) - (3.407 × hypertension) - (0.551 × HbA1c) [WC (cm), hypertension (yes = 1/no = 0), and HbA1c (%)] (Zabala et al. in Cardiovasc Diabetol 20(1):202; 2021).Participants were divided into four subgroups based on the quartiles (Q) of eGDR.The cumulative incidence rates and hazard ratios (HR) with 95% confidence intervals (CI) were calculated, with the lowest eGDR quartile (representing the highest degree of insulin resistance) as the reference. Participants were further divided into subgroups based on the diagnosis of Metabolic syndrome (MetS) or circadian syndrome (CircS) to explore the relationship between eGDR and CVD under different metabolic and circadian rhythm conditions. The dose-response relationship between eGDR and CVD incidence was investigated using a restricted cubic spline (RCS) based on a Cox regression model. Receiver operating characteristic (ROC) curves were generated to assess the predictive value of eGDR for CVD incidence. A clinical decision curve analysis (DCA) was also conducted to assess the clinical utility of the basic model.

RESULTS

6507 participants were included, with a median age of 58 years [52 years, 64 years], and 55% were female. Over a median follow-up duration of 87 months, 679 first-episode CVD events were recorded, including heart disease and stroke. The RCS curves demonstrated a significant dose-response relationship between eGDR and the incidence of first-presentation CVD in different metabolic and circadian rhythm subgroups (all P-values < 0.001, non-linearity P > 0.05). eGDR exhibited a significant linear relationship with all outcomes (non-linearity P < 0.05). The Kaplan-Meier cumulative incidence curves showed that as eGDR levels increased, the cumulative incidence rates of first CVD, heart disease, and stroke gradually decreased from Q1 to Q4 groups. Significant differences were observed across all metabolic and circadian rhythm subgroups (log-rank test P < 0.001). Through the Cox proportional hazards model, we confirmed a significant association between baseline eGDR levels and first-onset CVD, heart disease, and stroke. Subgroup analyses indicated that the predictive ability of eGDR for CVD risk varied across different Body mass index (BMI) (P for interaction = 0.025) and age (P for interaction = 0.045) subgroups. Mediation analysis revealed that CircS partially mediated this association. Furthermore, time-dependent ROC curves demonstrated the potential of eGDR as a predictor of CVD risk, revealing possible differences in the model's application across different cardiovascular conditions.

CONCLUSION

eGDR is an independent predictor of CVD risk, with lower eGDR levels being closely associated with a higher risk of CVD (including heart disease and stroke). In populations with MetS or CircS, the association between lower eGDR levels and increased risk is more pronounced.

The potential of glucose management indicator for the estimation of glucose disposal rate in people with type 1 diabetes

BACKGROUND AND AIMS

Insulin resistance is a growing feature in type 1 diabetes (T1D). It can be quantified by calculating the estimated glucose disposal rate (eGDR) with the Epstein's formula, which includes laboratory-measured glycated hemoglobin (HbA1c). We aimed the current research to assess the agreement between the conventional eGDR formula and an alternative one (eGDR-GMI) incorporating the glucose management indicator (GMI) derived from continuous glucose monitoring (CGM). We also explored the relationship between eGDR-GMI, cardiovascular risk factors, and the prevalence of diabetes-related complications.

METHODS AND RESULTS

We designed a cross-sectional study that included adults with T1D. eGDR-GMI and eGDR (mg/kg/min) were calculated using GMI or HbA1c, waist circumference, and hypertensive state. Clinical data were collected from electronic medical records. The analyses encompassed 158 participants with a mean age of 39 ± 13 years. The Bland-Altman analysis showed a good agreement between eGDR-GMI and eGDR. When we divided participants in eGDR-GMI tertiles we found a higher prevalence of diabetes-related complications and a less favorable metabolic profile in the lowest eGDR-GMI tertile. The relative risk of retinopathy, nephropathy, and neuropathy significantly increased by approximately 1 unit with each decrease in eGDR-GMI, regardless of age, sex, disease duration, lipids, and smoking habit.

CONCLUSIONS

eGDR-GMI represents a valid and robust alternative to the eGDR to assess insulin resistance in T1D. Low eGDR-GMI is associated with diabetes complications and a less favorable metabolic profile. Incorporating the eGDR-GMI into clinical practice can enhance the characterization of T1D people and allow for a more personalized treatment approach.

Estimated glucose disposal rate for predicting cardiovascular events and mortality in patients with non-diabetic chronic kidney disease: a prospective cohort study

BACKGROUND

Evidence suggests that insulin resistance (IR) is an autonomous risk factor for cardiovascular disease (CVD). Nevertheless, the association between estimated glucose disposal rate (eGDR), a novel indicator of IR, and incident CVD and mortality in chronic kidney disease (CKD) patients without diabetes remains uncertain.

METHODS

The study included 19,906 participants from the UK Biobank who had an estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73m2 or a urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g and no history of CVD and diabetes. Individuals were divided into three categories based on tertiles of eGDR. The outcome was a composite CVD (coronary heart disease (CHD) and stroke) and mortality (all-cause, non-accidental, and cardiovascular mortality). Furthermore, a cohort of 1,600 individuals from the US National Health and Nutrition Examination Survey (NHANES) was applied to validate the association between eGDR and mortality. The Cox proportional hazards regression models were used to examine the association between eGDR and event outcomes.

RESULTS

During a follow-up of around 12 years, 2,860 CVD, 2,249 CHD, 783 stroke, 2,431 all-cause, 2,326 non-accidental and 492 cardiovascular deaths were recorded from UK Biobank. Higher eGDR level was not only associated with lower risk of CVD (hazard ratio [HR] 0.641, 95% confidence interval [CI] 0.559-0.734), CHD (HR 0.607, 95% CI 0.520-0.709), stroke (HR 0.748, 95% CI 0.579-0.966), but also related to reduced risk of all-cause (HR 0.803, 95% CI 0.698-0.923), non-accidental (HR 0.787, 95% CI 0.682-0.908), and cardiovascular mortality (HR 0.592, 95% CI 0.423-0.829). Validation analyses from NHANES yielded consistent relationship on mortality.

CONCLUSIONS

In these two large cohorts of CKD patients without DM, a higher eGDR level was associated with a decreased risk of CVD and mortality.

Glucose Variability in People with Type 1 Diabetes: Associations with Body Weight, Body Composition, and Insulin Sensitivity

The prevalence of overweight and obesity increases in people with type 1 diabetes (T1D). However, the impact of fat accumulation on glucose dynamics in T1D is poorly understood. We assessed continuous glucose monitoring (CGM) parameters in patients with T1D depending on their body weight, body composition, and insulin sensitivity. In 547 patients, including 238 overweight/obese individuals, CGM-derived time in range (TIR) and glucose variability (GV) were estimated. Body composition was assessed by DXA. Estimated glucose disposal rate (eGDR) was used as an indicator of insulin sensitivity. Overweight/obese patients, when compared to normal-weight ones, have a lower time below range (TBR) (<3 mmol/L), GV, and experienced fewer episodes of low glucose. In men, lower TIR, higher time above range (TAR), and GV reduction were associated with central adiposity assessed by total, trunk, and android fat mass. In women, gynoid fat mass only was associated with a lower TIR and higher TAR. The eGDR was a positive predictor of TIR and a negative predictor of TAR, TBR, and GV in men and women. In conclusion, adiposity in people with T1D is associated with a lower risk of CGM-confirmed hypoglycemia, higher TAR, and reduced GV. These features of daily glucose dynamics may be mediated by insulin resistance.

Association of physical activity and sports participation with insulin resistance and non-alcoholic fatty liver disease in people with type 1 diabetes

AIM

To evaluate the association between physical activity (PA) and sports participation with insulin resistance and non-alcoholic fatty liver disease (NAFLD) in people with type 1 diabetes (T1D).

METHODS

People with T1D from a secondary and tertiary care centre were included. Questionnaire-derived PA was expressed in metabolic equivalent of task hours per week (METh/week). Insulin sensitivity was calculated with the estimated glucose disposal rate (eGDR). NAFLD was assessed by transient elastography (TE). Multivariate linear and logistic regression models were conducted, adjusted for age, sex, diabetes duration and BMI.

RESULTS

In total, 254 participants were included (men 56%, age 44 ± 14 years, diabetes duration 24 ± 14 years, median BMI 24.8 kg/m2), of which 150 participants underwent TE. Total PA (median 50.7 METh/week) was not significantly associated with insulin resistance (median eGDR 7.31 mg/kg/min) (beta -0.00, 95% CI -0.01 to 0.00) or with NAFLD (OR 1.00, 95% CI 0.99-1.01). Participating in sports was significantly associated with eGDR (beta 0.94, 95% CI 0.48-1.41) and with NAFLD (OR 0.21, 95% CI 0.08-0.56).

CONCLUSIONS

In our T1D population, we could not find any dose-dependent association between PA, insulin resistance and NAFLD. People participating in sports had a lower degree of insulin resistance and lower odds for NAFLD.

Interactive calculator to estimate insulin sensitivity in type 1 diabetes

The gold standard for measuring insulin sensitivity (IS) is the hyperinsulinemic-euglycemic clamp, a time, costly, and labor-intensive research tool. A low insulin sensitivity is associated with a complication-risk in type 1 diabetes. Various formulae using clinical data have been developed and correlated with measured IS in type 1 diabetes. We consolidated multiple formulae into an online calculator (bit.ly/estimated-GDR), enabling comparison of IS and its probability of IS <4.45 mg/kg/min (low) or >6.50 mg/kg/min (high), as measured in a validation set of clamps in 104 adults with type 1 diabetes. Insulin sensitivity calculations using different formulae varied significantly, with correlations (R2) ranging 0.005-0.87 with agreement in detecting low and high glucose disposal rates in the range 49-93% and 89-100%, respectively. We demonstrate that although the calculated IS varies between formulae, their interpretation remains consistent. Our free online calculator offers a user-friendly tool for individual IS calculations and also offers efficient batch processing of data for research.

Estimated glucose disposal rate predicts the risk of diabetic peripheral neuropathy in type 2 diabetes: A 5-year follow-up study

BACKGROUND

Insulin resistance is associated with chronic complications of diabetes, including diabetic peripheral neuropathy (DPN). Estimated glucose disposal rate (eGDR), calculated by the common available clinical factors, was proved to be an excellent tool to measure insulin resistance in large patient population. Few studies have explored the association between eGDR and DPN longitudinally. Therefore, we performed the current study to analyze whether eGDR could predict the risk of DPN.

METHODS

In this prospective study, 366 type 2 diabetes (T2DM) subjects without DPN were enrolled from six communities in Shanghai in 2011-2014 and followed up until 2019-2020. Neuropathy was assessed by Michigan Neuropathy Screening Instrument (MSNI) at baseline and at the end of follow-up.

FINDINGS

After 5.91 years, 198 of 366 participants progressed to DPN according to MNSI examination scores. The incidence of DPN in the low baseline eGDR (eGDR < 9.15) group was significantly higher than in the high baseline eGDR (eGDR ≥ 9.15) group (62.37% vs. 45.56%, p = .0013). The incidence of DPN was significantly higher in patients with sustained lower eGDR level (63.69%) compared with those with sustained higher eGDR level (35.80%). Subjects with low baseline eGDR (eGDR < 9.15) had significantly higher risk of DPN at the end of follow-up (odds ratio = 1.75), even after adjusting for other known DPN risk factors.

CONCLUSIONS

The 5-year follow-up study highlights the importance of insulin resistance represented by eGDR in the development of DPN in T2DM. Diabetic patients with low eGDR are more prone to DPN and, therefore, require more intensive screening and more attention.

Comparison of Two Estimated Glucose Disposal Rate Methods for Detecting Insulin Resistance in Adults with Type 1 Diabetes Mellitus

Background: The presence of insulin resistance (IR) in patients with type 1 diabetes mellitus (T1DM) is a significant indicator of all chronic diabetic complications, independent of other risk factors. The estimated glucose disposal rate (eGDR) is a practical method that can be easily used in daily practice to determine IR. This study aimed to determine the cutoff values for two eGDR methods and compare their diagnostic value for determining IR in adult T1DM patients with metabolic syndrome (MetS). Methods: This cross-sectional study was performed on 184 adults admitted to the endocrinology outpatient clinic diagnosed with T1DM. Demographic characteristics, anthropometric measurements, and the presence of hypertension (HT) were recorded. The eGDR of all patients was calculated using two formulas based on HbA1c level, presence of HT, waist-to-hip ratio (WHR), or waist circumference (WC). Diagnostic cutoff values for both eGDRs were defined using receiver operating characteristic (ROC) analysis. Patients were divided into two groups according to the cutoff values. The accuracy of the diagnostic cutoffs for eGDRwhr and eGDRwc was compared using a Bland-Altman plot. Results: The cutoff value for eGDRwhr was 7.37 mg/(kg·min) with 83.3% specificity and 86.7% sensitivity [area under the curve (AUC) = 0.901; P < 0.001; 95% confidence interval (CI), 0.824-0.977] and for eGDRwc 7.50 mg/(kg·min) with 79.8% specificity and 83.3% sensitivity (AUC = 0.895; P < 0.001; 95% CI, 0.817-0.972) for the presence of MetS. Further ROC analysis showed that the difference between the two AUCs (0.901 and 0.895) was not significant (P = 0.923). Conclusion: Assessment of eGDR would lead to early prevention of diabetic complications. eGDR is measured using either WHR or WC. This study is the first to compare WHR and WC in calculating eGDR in adults. WHR and WC are not superior to each other for calculating eGDR in determining IR in T1DM.

Development of a New Model of Insulin Sensitivity in Patients With Type 2 Diabetes and Association With Mortality

CONTEXT

Despite being one of the major drivers of diabetes incidence, the degree of insulin resistance in patients with type 2 diabetes (T2D) is not usually evaluated in clinical practice or in large epidemiologic studies.

OBJECTIVE

To identify a model of insulin sensitivity using widely available clinical and laboratory parameters in patients with T2D and evaluate its association with all-cause and cardiovascular mortality.

METHODS

One hundred forty patients with T2D underwent a euglycemic hyperinsulinemic clamp to measure total body glucose disposal rate (mg kg-1 minute-1). We used demographic, clinical, and common laboratory parameters to estimate insulin sensitivity (IS) via stepwise linear regression on 85 patients (training cohort) and validated it in the remaining 55 (validation cohort). The identified equation was then applied to 3553 patients with T2D from the 1999-2010 cycles of the National Health and Nutrition Examination Survey (NHANES) to evaluate its association with all-cause and cardiovascular mortality up to December 2015.

RESULTS

The best model included triglycerides, gamma glutamyl transpeptidase, albumin excretion rate, and body mass index. The identified IS score correlated well with the clamp-derived glucose disposal rate in both the training (r = 0.77, P < .001) and the validation (r = 0.74, P < .001) cohorts. In the NHANES cohort, after a median follow-up of 8.3 years, 1054 patients died, 265 of cardiovascular causes. In a multivariable Cox proportional hazard model adjusted for age, sex, race-ethnicity, education, cigarette smoke, total cholesterol, chronic kidney disease, blood pressure, prevalent cardiovascular disease, and alcohol consumption, a higher estimated IS was associated with a lower risk of both all-cause and cardiovascular mortality.

CONCLUSION

We propose a new model of IS in patients with T2D based on readily available clinical and laboratory data. Its potential applications are in both diagnosis as well as prognostication.

Outcomes With Finerenone in Patients With Chronic Kidney Disease and Type 2 Diabetes by Baseline Insulin Resistance

OBJECTIVE

To explore whether insulin resistance, assessed by estimated glucose disposal rate (eGDR), is associated with cardiorenal risk and whether it modifies finerenone efficacy.

RESEARCH DESIGN AND METHODS

In FIDELITY (N = 13,026), patients with type 2 diabetes, either 1) urine albumin-to-creatinine ratio (UACR) of ≥30 to <300 mg/g and estimated glomerular filtration rate (eGFR) of ≥25 to ≤90 mL/min/1.73 m2 or 2) UACR of ≥300 to ≤5,000 mg/g and eGFR of ≥25 mL/min/1.73 m2, who also received optimized renin-angiotensin system blockade, were randomized to finerenone or placebo. Outcomes included cardiovascular (cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure) and kidney (kidney failure, sustained decrease of ≥57% in eGFR from baseline, or renal death) composites. eGDR was calculated using waist circumference, hypertension status, and glycated hemoglobin for 12,964 patients.

RESULTS

Median eGDR was 4.1 mg/kg/min. eGDR

CONCLUSIONS

Insulin resistance was associated with increased cardiovascular (but not kidney) risk and did not modify finerenone efficacy.

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Key Words Collapse

MESH Headings

• Humans
• Diabetes Mellitus, Type 2/complications
• Diabetes Mellitus, Type 2/drug therapy
• Insulin Resistance
• Double-Blind Method
• Renal Insufficiency, Chronic/complications
• Glucose/therapeutic use
• Insulins/therapeutic use
• Naphthyridines

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Grants

• P30 DK111024 NIDDK NIH HHS
• Bayer

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Affiliation(s)

Thomas Ebert Medical Department III – Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
Stefan D. Anker Department of Cardiology of German Heart Center Charité; Institute of Health Center for Regenerative Therapies, German Centre for Cardiovascular Research partner site Berlin, Charité Universitätsmedizin, Berlin, Germany
Luis M. Ruilope Cardiorenal Translational Laboratory and Hypertension Unit, Institute of Research imas12, Madrid, Spain CIBER-CV, Hospital Universitario 12 de Octubre, Madrid, Spain Faculty of Sport Sciences, European University of Madrid, Madrid, Spain
Paola Fioretto Department of Medicine, University of Padua, Italy
Vivian Fonseca Tulane University Health Sciences Center, New Orleans, LA
Guillermo E. Umpierrez Division of Endocrinology, Emory University School of Medicine, Atlanta, GA
Andreas L. Birkenfeld Department of Diabetology, Endocrinology and Nephrology, University Clinic, Tübingen, Germany Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany German Center for Diabetes Research, Neuherberg, Germany
Robert Lawatscheck Clinical Research, Bayer AG, Berlin, Germany
Charlie Scott Data Science and Analytics, Bayer PLC, Reading, U.K
Katja Rohwedder Medical Affairs, Bayer AG, Berlin, Germany
Peter Rossing Steno Diabetes Center Copenhagen, Herlev, Denmark Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
FIDELIO-DKD and FIGARO-DKD Investigators

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Fatty liver index is an independent risk factor for all-cause mortality and major cardiovascular events in type 1 diabetes: an 11-year observational study

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD), identified by the Fatty Liver Index (FLI), is associated with increased mortality and cardiovascular (CV) outcomes. Whether this also applies to type 1 diabetes (T1D) has not been yet reported.

METHODS

We prospectively observed 774 subjects with type 1 diabetes (males 52%, 30.3 ± 11.1 years old, diabetes duration (DD) 18.5 ± 11.6 years, HbA1c 7.8 ± 1.2%) to assess the associations between FLI (based on BMI, waist circumference, gamma-glutamyl transferase and triglycerides) and all-cause death and first CV events.

RESULTS

Over a median 11-year follow-up, 57 subjects died (7.4%) and 49 CV events (6.7%) occurred among 736 individuals with retrievable incidence data. At baseline, FLI was < 30 in 515 subjects (66.5%), 30-59 in 169 (21.8%), and ≥ 60 in 90 (11.6%). Mortality increased steeply with FLI: 3.9, 10.1, 22.2% (p < 0.0001). In unadjusted Cox analysis, compared to FLI < 30, risk of death increased in FLI 30-59 (HR 2.85, 95% CI 1.49-5.45, p = 0.002) and FLI ≥ 60 (6.07, 3.27-11.29, p < 0.0001). Adjusting for Steno Type 1 Risk Engine (ST1-RE; based on age, sex, DD, systolic BP, LDL cholesterol, HbA1c, albuminuria, eGFR, smoking and exercise), HR was 1.52 (0.78-2.97) for FLI 30-59 and 3.04 (1.59-5.82, p = 0.001) for FLI ≥ 60. Inclusion of prior CV events slightly modified HRs. FLI impact was confirmed upon adjustment for EURODIAB Risk Engine (EURO-RE; based on age, HbA1c, waist-to-hip ratio, albuminuria and HDL cholesterol): FLI 30-59: HR 1.24, 0.62-2.48; FLI ≥ 60: 2.54, 1.30-4.95, p = 0.007), even after inclusion of prior CVD. CV events incidence increased with FLI: 3.5, 10.5, 17.2% (p < 0.0001). In unadjusted Cox, HR was 3.24 (1.65-6.34, p = 0.001) for FLI 30-59 and 5.41 (2.70-10.83, p < 0.0001) for FLI ≥ 60. After adjustment for ST1-RE or EURO-RE, FLI ≥ 60 remained statistically associated with risk of incident CV events, with trivial modification with prior CVD inclusion.

CONCLUSIONS

This observational prospective study shows that FLI is associated with higher all-cause mortality and increased risk of incident CV events in type 1 diabetes.

Double diabetes-when type 1 diabetes meets type 2 diabetes: definition, pathogenesis and recognition

Currently, the differentiation between type 1 diabetes (T1D) and type 2 diabetes (T2D) is not straightforward, and the features of both types of diabetes coexist in one subject. This situation triggered the need to discriminate so-called double diabetes (DD), hybrid diabetes or type 1.5 diabetes, which is generally described as the presence of the insulin resistance characteristic of metabolic syndrome in individuals diagnosed with T1D. DD not only raises the question of proper classification of diabetes but is also associated with a significantly greater risk of developing micro- and macroangiopathic complications, which was independent of glycaemic control. When considering the global obesity pandemic and increasing incidence of T1D, the prevalence of DD may also presumably increase. Therefore, it is of the highest priority to discover the mechanisms underlying the development of DD and to identify appropriate methods to prevent or treat DD. In this article, we describe how the definition of double diabetes has changed over the years and how it is currently defined. We discuss the accuracy of including metabolic syndrome in the DD definition. We also present possible hypotheses connecting insulin resistance with T1D and propose possible methods to identify individuals with double diabetes based on indirect insulin resistance markers, which are easily assessed in everyday clinical practice. Moreover, we discuss adjuvant therapy which may be considered in double diabetic patients.

Insulin resistance is associated with subclinical myocardial dysfunction and reduced functional capacity in heart failure with preserved ejection fraction

BACKGROUND

Obesity and insulin resistance are prevalent in heart failure with preserved ejection fraction (HFpEF) and are associated with adverse cardiovascular outcomes. Measuring insulin resistance is difficult outside of research settings, and its correlation to parameters of myocardial dysfunction and functional status is unknown.

METHODS

A total of 92 HFpEF patients with New York Heart Association class II to IV symptoms underwent clinical assessment, 2D echocardiography, and 6-min walk (6 MW) test. Insulin resistance was defined by estimated glucose disposal rate (eGDR) using the formula: eGDR = 19.02 - [0.22 × body mass index (BMI), kg/m2] - (3.26 × hypertension, presence) - (0.61 × glycated hemoglobin, %). Lower eGDR indicates increased insulin resistance (unfavorable). Myocardial structure and function were assessed by left ventricular (LV) mass, average E/e' ratio, right ventricular systolic pressure, left atrial volume, LV ejection fraction, LV longitudinal strain (LVLS), and tricuspid annular plane systolic excursion. Associations between eGDR and adverse myocardial function were evaluated in unadjusted and multivariable-adjusted analyses using analysis of variance testing and multivariable linear regression.

RESULTS

Mean age (SD) was 65 (11) years, 64 % were women, and 95 % had hypertension. Mean (SD) BMI was 39 (9.6) kg/m2, glycated hemoglobin 6.7 (1.6) %, and eGDR 3.3 (2.6) mg × kg-1 min-1. Increased insulin resistance was associated with worse LVLS in a graded fashion [mean (SD) -13.8 % (4.9 %), -14.4 % (5.8 %), -17.5 % (4.4 %) for first, second, and third eGDR tertiles, respectively, p = 0.047]. This association persisted after multivariable adjustment, p = 0.040. There was also a significant association between worse insulin resistance and decreased 6 MW distance on univariate analysis, but not on multivariable adjusted analysis.

CONCLUSION

Our findings may inform treatment strategies focused on the use of tools to estimate insulin resistance and selection of insulin sensitizing drugs which may improve cardiac function and exercise capacity.

Fat-to-muscle ratio is associated with insulin resistance and cardiometabolic disorders in adults with type 1 diabetes mellitus

AIMS

This study aimed to investigate the correlation of the fat-to-muscle ratio (FMR) with insulin resistance (IR) and cardiometabolic disorders (CMD) in patients with type 1 diabetes mellitus (T1DM).

MATERIALS AND METHODS

We retrospectively recruited 420 adults with T1DM [52.6% men, median age 32.4 (24.5, 43.0) years]. Body composition was assessed by bioelectrical impedance analysis and FMR was calculated. The characteristics of the overall participants were compared between tertiles of FMR. Logistic regression analyses were performed to assess the association of FMR tertiles with IR and cardiometabolic risk factors.

RESULTS

Median age and median haemoglobin A1c of all participants were 32.4 (24.5, 43.0) years and 7.4 (6.5, 8.7)%, respectively. The prevalence of IR and CMD was 18% and 38.6%. The FMR significantly differed between men and women [0.39 (0.31, 0.53) vs. 0.74 (0.63, 0.92), respectively, p < .001]. The proportion of IR and CMD gradually increased as the FMR increased. The multivariable-adjusted odd ratios for IR and CMD in FMR tertile 3 compared with tertile 1 were 4.8 [95% confidence interval (CI): (1.9, 12.1)] and 9.7 (95% CI: 4.2, 22.3), respectively, in men. For women, the corresponding odd ratios were 4.0 (95% CI: 1.2, 12.9) for IR and 5.8 (95% CI: 2.4, 13.6) for CMD.

CONCLUSIONS

FMR is associated with IR and CMD in adults with T1DM and could be used as a promising parameter for targeting treatment in T1DM.

Double diabetes as an effect modifier for adverse perinatal outcome in pregnant women with type 1 diabetes mellitus - a retrospective multicenter cohort study

Introduction

Double diabetes (DDiab) is defined as T1DM coexisting with insulin resistance (IR), metabolic syndrome (MetS), and/or obesity. Little evidence is available regarding how frequent DDiab is among T1DM pregnancies and whether it affects the perinatal outcome in this population.

Aims of the study

To explore the prevalence of DDiab in early pregnancy in the cohort of pregnant women with T1DM and to examine the association between an early-pregnancy DDiab status and fetomaternal complications characteristic for T1DM in pregnancy.

Material and methods

A retrospective data analysis of the multicenter cohort of N=495 pregnant women in singleton pregnancy complicated with T1DM followed from early pregnancy until delivery in three tertiary referral centers. DDiab status was defined as T1DM plus pre-pregnancy obesity defined as BMI≥30 kg/m2 measured at the first antenatal visit (DDiabOb), or T1DM plus pre-pregnancy IR defined as eGDR (estimated Glucose Disposal Rate) below the 25th centile for the cohort measured at the first antenatal visit (DDiabIR). Proportions of the adverse pregnancy outcomes were compared between DDiabOb and Non-DDiabOb and between DDiabIR and Non-DDiabIR patients.

Characteristics of the study group

(data presented as mean(SD) or percentage): age: 30.0(5.1) years; age when T1DM diagnosed: 17.5(8.5) years; T1DM duration: 12.0(7,9) years; microvascular complications (White classes R,F,RF): 11.9%, pre-pregnancy counselling: 26.6%, baseline gestational age: 10.5(4.3) weeks, pre-pregnancy BMI: 23.7(4.3) kg/m2; chronic hypertension: 9.1%, gestational hypertension (PIH) 10.7%, preeclampsia (PET): 3.2%; nulliparity 53.8%, smoking in pregnancy: 4.8%, eGWG: 22.4%, DDiabOB: 10.1%; DdiabIR: 25.2%; LGA: 44.0%, and NICU admission: 20.8%.

Results

(data from the univariate analysis given as OR(95%CI)): both DDiabOB and DDiabIR status increased the risk for eGWG [23.15 (10.82; 55.59); 3.03 (1.80; 5.08), respectively]. DDiabIR status increased the risk for PET [4.79 (1.68;14.6)], preterm delivery [1.84 (1.13; 3.21)], congenital malformation [2.15 (1.07;4.25)], and NICU hospitalization [2.2 (1.20;4.01)]. Both DDiabOB and DDiabIR accurately ruled out PET (NPV 97.3%/98.3%, accuracy: 88.3%/75.6%, respectively), congenital malformation (NPV 85.6%/88.4%, accuracy: 78.9/69.8, respectively), and perinatal mortality (NPV 98.7%/99.2%, accuracy: 88.8%/74.5%, respectively).

Conclusions

Double diabetes became a frequent complication in T1DM pregnant population. Double diabetes diagnosed in early pregnancy allows for further stratification of the T1DM pregnant population for additional maternal risk.

Insulin resistance and hepatic steatosis in type 1 diabetes mellitus and their association with diabetic chronic complications

BACKGROUND

The aim of this study was to evaluate insulin resistance and hepatic steatosis and their association with diabetes duration, control and chronic complications in patients with type 1 diabetes.

METHODS

We studied medical records of 181 consecutive hospitalized adult patients with type 1 diabetes. Estimated glucose disposal rate (eGDR), Insulin Sensitivity Score (ISS), Fatty Liver Index (FLI) and Hepatic Steatosis Index (HSI) were calculated.

RESULTS

Patients in the 1st tertile of eGDR (<4.1 mg/kg-1-min-1) and ISS (<4.8) had higher prevalence of ischemic cardiovascular disease (ICVD) (P<0.001), hepatic steatosis, higher gamma glutamyl transpeptidase, HSI, FLI compared with participants from the 2nd and 3rd tertile of eGDR and ISS. Compared with those without steatosis, patients with ultrasound-diagnosed steatosis (30.5%) had a lower ISS (4.4±1.9 vs. 6.3±2.4, P<0.001), eGDR (4.5±3.0 vs. 5.8±2.7, P=0.01), higher FLI (72.5±25.1 vs. 51.0±27.2, P<0.001), HSI (37.5±6.1 vs. 35.2±4.7, P=0.03) and prevalence of ICVD (71.7 vs. 45.7%, P=0.004) and retinopathy (69.6 vs. 52.4%, P=0.03). Factors independently associated with hepatic steatosis were only ICVD (OR=2.584, P=0.029), ISS (OR 0.148, P<0.001), aspartate aminotransferase (OR=1.025, P=0.038) and male gender (OR=2.726, P=0.016).

CONCLUSIONS

Insulin resistance and hepatic steatosis are common in type 1 diabetes and have a significant association with ICVD, independently of diabetes duration, control and insulin doses.

Impact of overweight and obesity on epicardial adipose tissue in children with type 1 diabetes

OBJECTIVES

Epicardial adipose tissue (EAT) thickness, a novel marker of cardiovascular disease (CVD), is increased in children with a healthy weight and type 1 diabetes (T1D). The prevalence of obesity has increased in children with T1D and may confer additional CVD risk. The purpose of this study was to examine EAT thickness in youth with and without T1D in the setting of overweight/obesity.

METHODS

Youth with overweight/obesity and T1D (n=38) or without T1D (n=34) between the ages of 6-18 years were included in this study. Echocardiogram using spectral and color flow Doppler was used to measure EAT and cardiac function. Waist circumference, blood pressure, and HbA_1c, were used to calculate estimated glucose disposal rate (eGDR) to estimate insulin resistance in children with T1D.

RESULTS

EAT thickness was not significantly different in youth with T1D compared to controls (2.10 ± 0.67 mm vs. 1.90 ± 0.59 mm, p=0.19). When groups were combined, EAT significantly correlated with age (r=0.449, p≤0.001), BMI (r=0.538, p≤0.001), waist circumference (r=0.552, p≤0.001), systolic BP (r=0.247, p=0.036), myocardial performance index (r=-0.287, p=0.015), ejection fraction (r=-0.442, p≤0.001), and cardiac output index (r=-0.306, p=0.009). In the group with T1D, diastolic BP (r=0.39, p=0.02) and eGDR (r=-0.48, p=0.002) correlated with EAT.

CONCLUSIONS

EAT was associated with measures of adiposity and insulin resistance but does not differ by diabetes status among youth with overweight/obesity. These findings suggest that adiposity rather than glycemia is the main driver of EAT thickness among youth with T1D.

Prognostic Value of Estimated Glucose Disposal Rate in Patients with Non-ST-Segment Elevation Acute Coronary Syndromes Undergoing Percutaneous Coronary Intervention

Background

Estimated glucose disposal rate (eGDR) is highly associated with all-cause mortality in type 2 diabetes mellitus (T2DM) cases undergoing coronary artery bypass grafting (CABG). Nevertheless, eGDR's prognostic value in non-ST-segment elevation acute coronary syndrome (NSTE-ACS) following percutaneous coronary intervention (PCI) remains unknown.

Methods

The population of this retrospective cohort study comprised NSTE-ACS patients administered PCI in Beijing Anzhen Hospital between January and December 2015. The primary endpoint was major adverse cardiac and cerebral events (MACCEs). eGDR was calculated based on waist circumference (WC) ( eGDR WC ) or body mass index (BMI) ( eGDR BMI ).

Results

Totally 2308 participants were included, and the mean follow-up time was 41.06 months. The incidence of MACCEs was markedly increased with decreasing eGDR. Multivariable analysis showed hazard ratios (HRs) for eGDR WC and eGDR BMI of 1.152 (95% confidence interval [CI] 1.088-1.219; p < 0.001) and 0.998 (95% CI 0.936-1.064; p = 0.957), respectively. Addition of eGDR WC to a model that included currently recognized cardiovascular risk factors markedly enhanced its predictive power compared with the baseline model (Harrell's C-index, eGDR WC versus Baseline model, 0.778 versus 0.768, p = 0.003; continuous net reclassification improvement (continuous-NRI) of 0.125, p < 0.001; integrated discrimination improvement (IDI) of 0.016, p < 0.001).

Conclusions

Low eGDR independently predicts low survival of NSTE-ACS cases who underwent PCI.

Relationship Between Estimated Glucose Disposal Rate and Type 2 Diabetic Retinopathy

PURPOSE

To investigate the association between diabetic retinopathy (DR), DR intensity, and estimated glucose disposal rate (eGDR) in individuals with type 2 diabetes mellitus (T2DM).

PATIENTS AND METHODS

This study comprised 1762 T2DM patients who were admitted between January and December, 2021. Overall, the DR was identified in 430 patients. Based on the eGDR, the participants were divided into four study groups. One-way analysis of variance was used to compare the groups. The correlations between eGDR and DR risk, eGDR, and DR severity were analyzed using regression analysis. Furthermore, these relationships were analyzed in different sex groups.

RESULTS

Patients with T2DM had a 19.75% (348/1762) DR detection rate, whereas those with DR had a 22.41% (78/348) proliferative DR detection rate. The DR group had substantially reduced levels of eGDR compared with the non-DR group. Multivariate logistic regression analysis demonstrated that reduced eGDR was an independent risk factor for DR, after adjusting for confounding variables. eGDR correlated significantly with proliferative DR in women but not in men.

CONCLUSION

In Chinese individuals with T2DM, lower eGDR was independently associated with a higher risk of DR.

Estimated glucose disposal rate and risk of cardiovascular disease: evidence from the China Health and Retirement Longitudinal Study

OBJECTIVES

Previous studies had reported that insulin resistance (assessed by estimated glucose disposal rate; eGDR) was associated with higher risk of cardiovascular events (CVD) in diabetes patients. The aim of present study was to investigate the potential association between eGDR and CVD in general population.

METHODS

The China Health and Retirement Longitudinal Study with 8,267 individuals were included in analysis. Participants were divided into four subgroups according to eGDR quartile. Cox proportional hazards regression models were used to examine the associations of eGDR with CVD (stroke or cardiac events).

RESULTS

During 6 years of follow-up, a total of 1,476 respondents experienced a CVD (494 stroke and 1,110 cardiac events). In multivariable-adjusted analyses, the corresponding hazard ratio (95% confidence intervals) for the highest eGDR versus lowest quartile of eGDR was 0.58(0.49-0.67) for CVD. Each 1-SD increase of eGDR was associated with 16% (HRs = 0.84; 0.79-0.88) decreased risk of CVD. There was also a significant linear association between eGDR and CVD (P for linearity < 0.001). Similar associations were also found between eGDR and stroke and cardiac events.

CONCLUSION

A higher eGDR (a measure of insulin resistance) was associated with a decreased risk of CVD, stroke and cardiac events in general Chinese population, suggesting that eGDR could be considered as a preferential predictor and treatment target of CVD. Future well-designed prospective clinical studies are needed to verify our findings and to assess the effect of eGDR interventions in CVD prevention and therapy.