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

Evaluating the link between insulin resistance and cognitive impairment using estimated glucose disposal rate in a non-diabetic aging population: results from the CHARLS

Background

Emerging evidence suggests insulin resistance may contribute to neurodegeneration, yet its role in non-diabetic populations remains unclear. This study explores the relationship between estimated glucose disposal rate (eGDR), a measure of insulin sensitivity, and incident cognitive dysfunction in non-diabetic adults.

Methods

Our longitudinal analysis utilized data from 5,178 CHARLS participants (age ≥ 45 years). Insulin sensitivity was quantified using eGDR, calculated from waist circumference, hypertension status, and hemoglobin A1c levels. Participants were stratified by eGDR quartiles for comparative analysis. We employed multivariable Cox models, survival curves, restricted cubic splines, and sensitivity testing to evaluate associations with cognitive outcomes.

Results

Over an 8.7-year follow-up, cognitive dysfunction developed in 36.9% of participants. Analyses revealed significant metabolic-cognitive associations, with each standard deviation increase in eGDR linked to a 15.8% reduction in risk (adjusted hazard ratio [HR] = 0.792, 95% confidence interval [CI]: 0.793-0.881). Restricted cubic spline analysis identified non-linear threshold effects, with risk accelerating below certain eGDR levels (P < 0.05). Kaplan-Meier survival analysis demonstrated significant differences in cognitive impairment incidence across eGDR quartiles (P = 0.003). Additionally, both eGDR and metabolic score for insulin resistance (METS-IR) showed comparable predictive value for cognitive impairment risk, outperforming other metabolic indices, including the atherogenic index of plasma (AIP), and the triglyceride glucose index (TyG).

Conclusion

These findings position eGDR as a promising biomarker for cognitive risk stratification in non-diabetic adults. However, further multi-database studies should validate these associations and explore the underlying mechanisms.

The association between new insulin resistance indices and all-cause mortality in elderly patients with diabetes: a prospective cohort study

BACKGROUND

The association between newly developed insulin resistance (IR) indices and all-cause mortality in elderly patients with diabetes has not been investigated.

METHODS

Baseline data and all-cause mortality for 1,248 elderly diabetes patients from the National Health and Nutrition Examination Survey (NHANES) conducted between 2001 and 2018 were collected. The traditional IR index homeostasis model assessment of insulin resistance (HOMA-IR) and several newly developed indices, including metabolic score for insulin resistance (METS-IR), triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C), triglyceride glucose index (TyG), triglyceride glucose combined with body mass index (TyG-BMI), estimated glucose disposal rate (eGDR), and visceral adiposity index (VAI), were calculated for the patients. Cox proportional hazards regression and restricted cubic spline (RCS) regression models assessed the relationship between IR indices and all-cause mortality.

RESULTS

In a median follow-up period of 73.3 months, there were 381 recorded deaths. In the total cohort, METS-IR (p < 0.001), TyG-BMI (p < 0.001), and eGDR (p = 0.011) demonstrated a significant association with all-cause mortality as continuous variables. HOMA-IR, METS-IR, TyG-BMI, and eGDR exhibited significant correlations with all-cause mortality in the Cox regression models (p < 0.05) when analyzed as categorical variables. A U-shaped relationship exists between METS-IR, TyG-BMI, eGDR, and all-cause mortality (p-overall < 0.0001, p-nonlinear < 0.05). No significant associations were found between TyG, TG/HDL-C, VAI, and all-cause mortality. Among male patients, TyG-BMI and HOMA-IR exhibited superior prognostic value, whereas in female patients, METS-IR, TyG-BMI, and eGDR showed better performance.

CONCLUSION

HOMA-IR, TyG-BMI, METS-IR, and eGDR were associated with mortality in elderly diabetic patients, with gender differences in their prognostic values.

Association between eGDR and accelerated aging: the mediating role of ePWV

OBJECTIVE

This study examines the association between estimated glucose disposal rate (eGDR) and accelerated aging in middle-aged and older adults, with a focus on the mediating role of estimated pulse wave velocity (ePWV).

METHODS

Data from the 2011 wave of the China Health and Retirement Longitudinal Study (CHARLS) were analyzed, including middle-aged and older participants. Biological age was estimated using the Klemera-Doubal method, and accelerated aging was defined as the difference between biological and chronological age. The eGDR was calculated based on waist circumference, hypertension status, and HbA1c levels, while ePWV was estimated using mean blood pressure and age. Logistic regression models assessed the relationship between baseline eGDR, ePWV, and accelerated aging, adjusting for confounders.

RESULTS

A total of 8,529 participants (mean age 59.31 years) were included. A significant inverse association was found between eGDR and accelerated aging. Participants with the lowest eGDR quartile had an 81% higher risk of accelerated aging compared to those in the highest quartile (OR = 0.19, 95% CI 0.17-0.22, P < 0.001). Mediation analysis showed that ePWV mediated 12.90% of the relationship between eGDR and accelerated aging (95% CI 9.20%-16.60%).

CONCLUSION

Reduced insulin sensitivity, indicated by low eGDR, is a significant risk factor for accelerated aging. Vascular aging, measured by ePWV, mediates part of this relationship. These findings highlight the importance of monitoring insulin sensitivity and vascular health to mitigate aging and age-related health risks.

Unveiling the impact of DNA-methylation age acceleration on mortality risk in diabetes and pre-diabetes: insights from the US NHANES program

BACKGROUND

Diabetes ranks as the ninth leading cause of death globally, and DNA-methylation age acceleration (DNAmAA) is closely linked to lifespan. However, the impact of DNAmAA on long-term outcomes in specific populations with diabetes and pre-diabetes has not yet been comprehensively studied.

METHODS

This retrospective cohort study utilized data from the National Health and Nutrition Examination Survey (NHANES) 1999-2002, including participants aged 20 years or older diagnosed with diabetes or pre-diabetes. DNAmAA was defined as the difference between epigenetic age and chronological age. Multiple generations of DNAmAA measures were included. Cox proportional hazards regression models were employed to estimate the associations between DNAmAAs and all-cause, cardiovascular, and non-cardiovascular mortality.

RESULTS

A total of 1,199 participants were included, with a mean age of 64.20 (0.46) years; 621 (51.8%) were male. Significant correlations were observed between chronological age and all DNA-methylation ages in both diabetes and pre-diabetes groups. Over a mean follow-up of 14.13 (5.90) years, 662 deaths were recorded. AgeAccelGrim2 exhibited the strongest association with mortality. Each 5-unit increase in AgeAccelGrim2 was associated with an elevated risk of all-cause mortality (HR 1.35, 95% CI 1.23-1.49), cardiovascular mortality (HR 1.50, 95% CI 1.25-1.80), and non-cardiovascular mortality (HR 1.30, 95% CI 1.16-1.46). These associations remained significant in participants with diabetes and pre-diabetes. Mediation analysis revealed that AgeAccelGrim2 significantly mediates the association between health-related exposures (including the Oxidative Balance Score, Life's Simple 7 score, and frailty score) and all-cause mortality in diabetes and pre-diabetes populations.

CONCLUSIONS

AgeAccelGrim2 could serve as a valuable biomarker for mortality risk specific to populations with diabetes and pre-diabetes, offering potential applications in personalized management strategies and risk stratification.

Insulin resistance assessed by estimated glucose disposal rate and the risk of abdominal aortic calcification: findings from a nationwide cohort study

Purpose

The estimated glucose disposal rate (eGDR) serves as a straightforward and noninvasive indicator of insulin resistance (IR). This study aims to explore the association between eGDR and the risk of abdominal aortic calcification (AAC).

Methods

We utilized data from adult participants (≥40 years old, n=3006) from the 2013-2014 National Health and Nutrition Examination Survey (NHANES) database. AAC was measured by dual-energy X-ray absorptiometry and quantified using the Kauppila score. Severe AAC (SAAC) was defined as an AAC score > 6. Logistic regression, restricted cubic spline (RCS), and subgroup analysis were used to analyze the relationship between eGDR and SAAC risk.

Results

In fully adjusted models, eGDR was found to be negatively associated with SAAC (OR=0.86, 95%CI:0.79-0.94, P<0.001). Compared to participants in the lowest eGDR quantile, those in the highest quantile exhibited a lower risk of SAAC (OR=0.47, 95%CI:0.25-0.91, P=0.026). The RCS analysis indicates a nonlinear relationship between eGDR and SAAC risk, with a turning point at 7.05 mg/kg/min. Subgroup analysis showed that the association between eGDR and SAAC risk was more significant in women.

Conclusions

The degree of IR assessed by eGDR is associated with SAAC risk. The eGDR shows promise as an epidemiological tool for evaluating the influence of IR on AAC.

Joint association of estimated glucose disposal rate and body mass index with new-onset stroke

Background

Stroke is a major global health concern, and understanding its modifiable risk factors is critical for prevention. Body mass index (BMI) and estimated glucose disposal rate (eGDR), indicators of adiposity and insulin sensitivity, respectively, are independently associated with stroke risk. However, the combined effects of these factors remain underexplored.

Methods

This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), including 7,212 adults aged over 45 years. Cox proportional hazards models assessed the independent and joint associations of BMI and eGDR with new-onset stroke. Mediation analysis evaluated BMI's role in the eGDR-stroke relationship. Subgroup analyses by age, sex, and BMI categories were conducted.

Results

Over a 7-year follow-up, 587 participants (8.14%) experienced new-onset stroke. Higher BMI was positively associated with stroke incidence, while lower eGDR was linked to increased stroke risk. Participants with both obesity (BMI over 28 kg/m2) and lower eGDR faced the highest stroke risk (HR: 2.63; 95% CI: 1.78-3.89). Mediation analysis revealed that BMI significantly mediated 16.78% of the association between eGDR and new-onset stroke. Subgroup analyses showed consistent associations across age, sex, and BMI categories.

Conclusion

This study highlights the significant and interconnected roles of BMI and eGDR in new-onset stroke risk, with a compounding effect observed in individuals with obesity and low eGDR. Addressing both insulin resistance and adiposity through targeted interventions could effectively reduce stroke risk, particularly in high-risk populations.

Remnant cholesterol in obesity phenotypes: results from NHANES

BACKGROUND

The association between remnant cholesterol (RC) with obesity phenotypes remains unclear.

METHODS

This study designed to evaluate the association between RC and obesity phenotypes using data from the National Health and Nutrition Examination Survey (NHANES). The classification systems for obesity phenotypes encompassed both preclinical/clinical obesity and obesity stages, which were assessed based on two authoritative obesity guidelines: the 2025 clinical obesity guideline, and the 2016 obesity guideline established by the American Association of Clinical Endocrinologists and the American College of Endocrinology (AACE/ACE). Participants were selected according to the diagnostic criteria for obesity proposed in the 2025 clinical obesity guideline and were categorized into tertiles based on their RC levels. Their obesity phenotypes, obesity-related clinical manifestations, obesity-related comorbidities, and characteristics were then described. Logistic regression analyses and restricted cubic spline (RCS) models were used to analyze the relationship between RC and adverse obesity phenotypes. Sensitivity analyses were conducted in patients not receiving lipid-lowering drugs.

RESULTS

This study comprised 3,207 adult participants, revealing distinct prevalence patterns: 47.80% exhibited preclinical obesity and 17.81% showed clinical obesity, while obesity stage stratification demonstrated 0%, 12.76%, and 21.63% prevalence for stage 0, 1, and 2, respectively. Multivariable regression analyses demonstrated dose-response relationship between RC levels and adverse obesity phenotypes, with individuals in the highest RC tertile showing significantly elevated risks of clinical obesity (OR 1.95, 95% CI 1.19-3.19) and obesity stage progression (OR 1.96, 95% CI 1.06-3.62) compared to the lowest tertile reference group. RCS analyses further revealed similar "J"-shaped association between RC levels and adverse obesity phenotypes (P for nonlinearity < 0.001), sharing a common inflection point at 0.51 mmol/L. The sensitivity analyses confirmed the consistency of the results among patients who were not receiving lipid-lowering therapy.

CONCLUSIONS

RC was found to be positively and independently associated with adverse obesity phenotypes, particularly when RC levels exceeded 0.51 mmol/L, demonstrating a similar "J"-shaped association. It is recommended that clinicians monitor RC levels for obese patients as a primary screening indicator for adverse phenotypes of obesity.

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 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.

Joint association of estimated glucose disposal rate and systemic inflammation response index with mortality in cardiovascular-kidney-metabolic syndrome stage 0-3: a nationwide prospective cohort study

BACKGROUND

The Cardiovascular-Kidney-Metabolic (CKM) syndrome underscores the complex interactions among metabolic disorders, kidney disease, and cardiovascular conditions. Insulin resistance (IR) and inflammation are crucial in CKM syndrome development, but their combined effect in stages 0-3 remains unclear.

METHODS

Using data from the National Health and Nutrition Examination Survey (NHANES), we included 18,295 participants with CKM syndrome stages 0-3 from 10 cycles between 1999 and 2018. IR was assessed using the estimated glucose disposal rate (eGDR), and systemic inflammation was evaluated using the Systemic Inflammation Response Index (SIRI). The primary endpoint was all-cause mortality, and the secondary endpoint was cardiovascular disease (CVD) mortality.

RESULTS

Over an average follow-up period of 121 months, we recorded 1,998 all-cause deaths and 539 CVD deaths. Both eGDR and SIRI were independent risk factors for mortality. The hazard ratios (HR) for eGDR were 0.90 (0.86, 0.94) for all-cause mortality and 0.85 (0.78, 0.93) for CVD mortality, per unit increase in eGDR. For SIRI, the HRs were 1.16 (1.11, 1.21) for all-cause mortality and 1.33 (1.19, 1.46) for CVD mortality, per unit increase in SIRI. Compared to individuals with high eGDR and low SIRI levels, those with low eGDR and high SIRI levels exhibited significantly higher mortality risks, with HRs of 1.97 (1.58, 2.44) for all-cause mortality and 2.35 (1.48, 3.73) for CVD mortality. Subgroup analysis revealed that the combined impact of eGDR and SIRI was particularly significant in patients under 60 years old.

CONCLUSION

In CKM syndrome stages 0-3, eGDR and SIRI have joint effect on mortality. Combining these markers can help identify high-risk individuals early, enabling timely monitoring and intervention to improve outcomes.

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 triglyceride-glucose related indices and all-cause and cardiovascular mortality among the population with cardiovascular-kidney-metabolic syndrome stage 0-3: a cohort study

BACKGROUND

Cardiovascular-Kidney-Metabolic (CKM) syndrome typically commences with the interaction of insulin resistance (IR), excessive or dysfunctional obesity, and the consequent systemic inflammatory response and oxidative stress. The relationship between the triglyceride-glucose (TyG) index and TyG-related indices that may simply assess IR and obesity, as well as the mortality risk in the CKM syndrome population, remains ambiguous.

METHODS

This study included 6,383 participants from the National Health and Nutrition Examination Survey (NHANES) 2009-2018. The TyG index, TyG-waist-to-height ratio (TyG-WHtR), TyG-waist circumference (TyG-WC), and TyG-body mass index (TyG-BMI) were developed. Cox proportional hazards models, smooth curve fitting, and two-stage Cox proportional hazards models were employed to examine the association of TyG and TyG-related indices with all-cause and cardiovascular mortality in the CKM syndrome population. Subgroup analyses and interaction tests were conducted to evaluate the risk within various demographics.

RESULTS

In survey-weighted multifactorial regression analyses, a significant positive association existed between TyG, TyG-related indices, and both all-cause mortality and cardiovascular mortality, except for the TyG index, which did not demonstrate a significant link with all-cause mortality. Of these indices, the TyG-WC index exhibited the strongest correlation with all-cause mortality, with a hazard ratio (HR) of 1.50 and a 95% confidence interval (CI) of 1.18-1.92, followed by the TyG-WHtR index (HR: 1.45, 95%CI 1.13-1.85). The TyG-WHtR index demonstrated the strongest correlation with cardiovascular mortality (HR: 1.85, 95% CI 1.19-2.86), followed by the TyG-WC index(HR: 1.83, 95%CI 1.21-2.78). An L-shaped association was identified between TyG-WHtR, TyG-BMI, and all-cause mortality in CKM syndrome during the examination of nonlinear relationships (both P for log-likelihood ratio < 0.05). The TyG-WHtR, TyG-WC, and TyG-BMI indices exhibited a more pronounced correlation with all-cause mortality in those with CKM syndrome stages 1 and 3 (P value < 0.05, P for interaction < 0.05).

CONCLUSION

Our study emphasizes the association between TyG and TyG-related indices and mortality in individuals with CKM syndrome stages 0-3. Individuals with CKM syndrome stages 1 and 3 should be more vigilant to abnormal alterations in TyG-related indices.

Association between estimated glucose disposal rate with the all-cause and cause-specific mortality among the population with cardiometabolic syndrome

BACKGROUND

Estimated glucose disposal rate (eGDR) is considered as a reliable alternative indicator of insulin resistance. However, the relationship between eGDR levels and mortality among individuals with cardiometabolic syndrome (CMS), as well as within different glucose metabolic states in this population, remains unclear.

METHODS

We conducted a cohort study on 9928 CMS participants from the National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2018. The relationship between eGDR levels and mortality in the CMS population was evaluated using multivariable Cox proportional hazards regression models and restricted cubic splines (RCS). Finally, stratified analysis was performed to determine the relationship between eGDR levels and mortality in different subgroups.

RESULTS

Cox regression analysis showed a significant correlation between eGDR levels and both all-cause and cause-specific mortality in the entire CMS population (all p < 0.05). RCS analysis revealed a non-linear relationship between eGDR levels and both all-cause (p for overall < 0.001, p for non-linear < 0.001) and diabetes specific mortality (p for overall < 0.001, p for non-linear = 0.004) in CMS population, while a linear relationship with cardiovascular specific mortality (p for overall < 0.001, p for non-linear = 0.091). In participants with baseline diabetes mellitus (DM), eGDR levels were significantly correlated with all-cause mortality, cardiovascular specific mortality, and diabetes specific mortality (all p < 0.05). In CMS participants with baseline pre-diabetes mellitus (Pre-DM), eGDR levels were significantly correlated with cardiovascular-specific and diabetes-specific mortality (all p < 0.05). In CMS participants with baseline normal glucose regulation (NGR), eGDR levels were only significantly related to diabetes specific mortality (p < 0.05).

CONCLUSION

There is a significant correlation between eGDR levels and both all-cause and cause-specific mortality in the entire CMS population. Furthermore, the protective effect of high eGDR levels on mortality persists across various glucose metabolic states.

Associations of estimated glucose disposal rate with frailty progression: results from two prospective cohorts

BACKGROUND

Frailty is a common geriatric syndrome associated with many adverse health outcomes. Identifying the risk factors of frailty is crucial and the insulin resistance (IR) is considered as a potential target. The estimated glucose disposal rate (eGDR) is a simple and reliable surrogate marker of IR. Associations of eGDR with frailty have not been explored. This study aimed to investigate the associations of eGDR with frailty progression.

METHODS

We used data from two prospective cohorts of the China Health and Retirement Longitudinal Study (CHARLS) and Health and Retirement Study (HRS). The eGDR was calculated as follows: eGDR (mg/kg/min) = 21.158 - (0.09×waist circumference) - (3.407×hypertension) - (0.551×glycosylated hemoglobin A1c) [waist circumference (cm), hypertension (yes = 1/no = 0), and glycosylated hemoglobin A1c (%)]. Participants were divided into three categories by tertiles of eGDR. Frailty index (FI) was calculated every two years and used to assess the degree of frailty which ranged from 0 to 100. Frailty progression was assessed by repeated measurements of FI during follow-up. Linear mixed-effect models were used to analyze the associations of eGDR with frailty progression.

RESULTS

8872 participants from CHARLS (mean age: 58.9 years, female: 53.3%) and 5864 participants from HRS (mean age: 67.0 years, female: 59.0%) were included. The median follow-up periods were 7.0 years in the CHARLS and 12.8 years in the HRS, respectively. Compared to participants with lower tertile (T1) of eGDR, those with upper tertile (T3) of eGDR showed decelerated FI progression (CHARLS, β: -0.294, 95%CI -0.390 to -0.198, P < 0.001; HRS, β: -0.378, 95%CI -0.474 to -0.281, P < 0.001). Continuous eGDR was also associated with FI progression for significant deceleration in FI progression with per 1 SD increase in eGDR (CHARLS, β: -0.142, 95%CI -0.181 to -0.103, P < 0.001; HRS, β: -0.170, 95%CI -0.209 to -0.130, P < 0.001). These associations were still observed after excluding baseline frail participants. Furthermore, the associations of eGDR with FI progression were consistent among participants with and without diabetes.

CONCLUSION

Regardless of diabetes or not, a higher level of eGDR was associated with the decelerated frailty progression. Our findings highlight the role of eGDR in frailty progression and recommend taking effective interventions to improve eGDR for preventing frailty progression.

Association between estimated glucose disposal rate and prediction of cardiovascular disease risk among individuals with cardiovascular-kidney-metabolic syndrome stage 0-3: a nationwide prospective cohort study

BACKGROUND

Insulin resistance is a crucial factor in the development of cardiovascular diseases (CVD), yet the relationship between the estimated glucose disposal rate (eGDR), an index reflecting insulin resistance, and the risk of new-onset CVD among individuals with cardiovascular-kidney-metabolic (CKM) syndrome stage 0-3 remains underexplored, and large-scale prospective cohort studies are needed to clarify this relationship.

METHODS

All data for this study were extracted from the China Health and Retirement Longitudinal Study (CHARLS). The primary outcome was the incidence of new-onset CVD (including heart diseases (HD) and stroke) during the follow-up period (from 2013 to 2020). Multivariable logistic regression models were applied to elucidate the relationship between the eGDR and the risk of developing CVD. The restricted cubic splines (RCS), mediation analysis, and stratified analyses were also employed.

RESULTS

This study included 6752 participants, of whom 1495 (22%) developed CVD. Odds ratios and 95% confidence intervals from lowest eGDR level (<7.37 mg/kg/min) to highest eGDR level (≥ 11.16 mg/kg/min) were 1.00 (reference), 0.81 (0.68, 0.96), 0.72 (0.58, 0.88), and 0.74 (0.58, 0.94) respectively, for the occurrence of CVD; 1.00 (reference), 0.81 (0.67,0.97), 0.72 (0.57,0.90), and 0.75 (0.58,0.97) respectively, for the occurrence of HD; 1.00 (reference), 0.91 (0.74,1.12), 0.80 (0.62,1.04), and 0.71 (0.52,0.97) respectively, for the occurrence of stroke after adjusting for all potential covariates. The RCS analysis discovered an approximately inverse "L" correlation between eGDR and the occurrence of CVD and HD across all individuals with CKM syndrome stages 0-3 (All P for overall < 0.001, All P for nonlinear = 0.005), while there was a negative linear correlation between eGDR and the risk of new-onset stroke (P for overall = 0.026, P for nonlinear = 0.098). Furthermore, the proportions mediated through BMI were 41.98%, 43.05%, and 43.23% for CVD, HD and stroke, respectively. No significant interactions were found.

CONCLUSIONS

The eGDR was a novel indicator of new-onset CVD in individuals with CKM syndrome stages 0-3, with BMI serving as a partial mediator in the association between eGDR and CVD risk. Addressing insulin resistance may represent a viable strategy for reducing the risk of CVD in this population.

Association between non-insulin-based insulin resistance indicators and frailty progression: a national cohort study and mendelian randomization analysis

BACKGROUND

Insulin resistance (IR) is linked to an increased risk of frailty, yet it remains unclear whether the non-insulin-based IR indicators are associated with frailty trajectories and physical function decline. It aimed to examine the associations of triglyceride-glucose (TyG) index, metabolic score for insulin resistance (METS-IR), estimated glucose disposal rate (eGDR) and with long-term deficit-accumulation frailty trajectories and physical function decline.

METHODS

Data from 6722 participants in the China Health and Retirement Longitudinal Study (CHARLS) were analyzed. Baseline TyG index, METS-IR, eGDR, along with the frailty index (FI) over nine years, were calculated. FI trajectories were assessed using group-based trajectory model (GBTM). Logistic regression models were used to analyze the associations between IR indicators with FI trajectory and frailty risk. Restricted cubic splines (RCS) models were utilized to detect potential dose-response associations. Linear mixed-effects model was used to evaluate associations with FI development speed. Age, gender, educational level, marital status, smoking status, drinking status, life satisfaction, social activity and sleep duration were adjusted. Additionally, a two-sample Mendelian randomization (MR) was performed to assess the causality of observed associations.

RESULTS

Three FI trajectories including low-stable frailty, moderate-increasing frailty, and accelerated rising frailty were identified. Regarding the frail risk, each SD increment in TyG index was associated with a 16.1% increase in the risk of frailty (OR = 1.161; 95%CI: 1.092, 1.235). An inverse association was observed for eGDR with the OR (95%CI) being 0.741 (0.696, 0.788). A linear relationship was observed between baseline TyG index and frailty risk (P nonlinear = 0.696), but nonlinear association patterns for eGDR (P nonlinearity < 0.010) and METS-IR (P nonlinearity < 0.010). Each SD increment of TyG index was associated with greater FI increase (β = 0.005 SD/y; 95%CI = 0.002, 0.008 SD/y; P < 0.001). A similar association pattern was observed for METS-IR, and participants in the highest quartile of METS-IR showed significantly greater FI progression, with β value of 0.013 (95% CI = 0.004, 0.022). Each SD increment of eGDR was associated with a slower increase in FI (β=-0.006 SD/y, 95% CI=-0.009, -0.003 SD/y; P < 0.001). Participants in the highest quartile of eGDR presented a lower annual change in FI compared with participants in quartile 1 group during follow-up (β=-0.013 SD/y, 95% CI=-0.022, -0.005 SD/y; P for trend = 0.001). Similar findings were observed for physical function decline. Findings from MR analysis showed a causal relationship between higher TyG index and increased risk of frailty (β = 0.214, 95% CI = 0.079, 0.349; P = 0.002).

CONCLUSIONS

The non-insulin-based IR indicators, including TyG index, METS-IR and eGDR, were independently associated with the frailty progression and physical function decline. Monitoring and managing abnormal glucose metabolism should be recommended as a part of comprehensive strategies to prevent or delay the progression of frailty.

Association of estimated glucose disposal rate with metabolic syndrome prevalence and mortality risks: a population-based study

BACKGROUND

Insulin resistance (IR) is a central pathophysiological factor in metabolic syndrome (MetS) and an essential driver of cardiovascular disease (CVD) and mortality. The estimated glucose disposal rate (eGDR) is a reliable marker of IR and has been associated with CVD prognosis. This study aims to examine the relationship between eGDR, MetS, and their predictive roles in clinical outcomes.

METHODS

Data from the NHANES (2001-2018) were utilized, with a cross-sectional design applied to evaluate the association between eGDR and MetS prevalence, and a cohort design employed for mortality follow-up. Weighted logistic regression models were used to examine the association between eGDR and MetS. Weighted Cox proportional hazard models were applied to assess the link between eGDR and both all-cause and CVD mortality. To examine the non-linear associations between the eGDR, MetS, and mortality outcomes, restricted cubic spline (RCS) analysis was applied. Additionally, the predictive performance of eGDR, and other IR indices (TyG, HOMA-IR), for mortality was assessed using the C-statistic.

RESULTS

A robust negative association between eGDR and MetS prevalence was found, following full covariate adjustment (p < 0.001). The core findings were consistent across subgroups (all p < 0.001). Cox regression analysis indicated that in individuals with MetS, each standard deviation (SD) increment in eGDR was associated with an 11% and 18% decrement in the risk of all-cause and CVD mortality, respectively. RCS analysis displayed a non-linear association between eGDR and MetS prevalence, while a linear association between eGDR and mortality. The C-statistic showed that eGDR, compared to the TyG index and HOMA-IR, significantly improved predictive power for all-cause mortality (p = 0.007).

CONCLUSION

eGDR is strongly associated with MetS and predicts all-cause and CVD mortality in individuals with MetS. Compared to TyG and HOMA-IR, eGDR offers superior predictive value for all-cause mortality, highlighting its potential as a useful tool in clinical risk assessment.

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.

Gender differences in the association between insulin resistance assessed by estimated glucose disposal rate and the risk of all-cause and cardiovascular deaths in adults without diabetes

AIM

We intended to examine the relationship between estimated glucose disposal rate (eGDR) and risks of all-cause and cardiovascular deaths in non-diabetic adults.

METHODS

38,175 participants from the National Health and Nutrition Examination Survey (1999-2018) were included, and deaths were identified through the National Death Index.

RESULTS

With a median follow-up of 9.8 years, we found that dose-response relationships between eGDR level and the risk of death differed between genders. In female participants, higher eGDR level was linearly correlated with lower risks of all-cause and cardiovascular deaths. In contrast, among male participants, there were L-shaped relationships between eGDR and risks of all-cause and cardiovascular deaths, with threshold points of 8.50 and 8.49 mg/kg/min, respectively. To the left of threshold points, eGDR was negatively linked with risks of all-cause (HR 0.91, 95 % CI 0.88-0.94, P < 0.001) and cardiovascular deaths (HR 0.87, 95 % CI 0.82-0.93, P < 0.001). After the inflection point, an increase in eGDR was not related to lower risks of all-cause and cardiovascular deaths (P > 0.05).

CONCLUSION

Higher eGDR level was associated with lower risks of all-cause and cardiovascular deaths in a linear dose-response manner among non-diabetic females, while L-shaped relationships were observed among non-diabetic males.

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.

The association of glyphosate exposure with kidney stones in American adults: A nationally representative cross-sectional study

OBJECTIVE

Glyphosate has been ubiquitously present in our living environment due to its efficient herbicidal ability, but its association with the prevalence of kidney stones remains uncertain. This study aims to explore the impact of glyphosate exposure on kidney stones and to investigate the mediating effects of some serologic indicators. Furthermore, we attempt to identify the specific populations at greater risk of exposure.

METHODS

This is a cross-sectional study of the U.S. adult population examining the association between glyphosate exposure and kidney stones based on data from the 2013-2018 National Health and Nutrition Examination Survey (NHANES). We implemented multi-model-adjusted logistic regression and smoothed curve fitting to explore the connection between them. Further subgroup analyses were conducted to confirm the magnitude of exposure risk in specific populations. Mediation effects analysis served to provide insight into the underlying mechanisms of the link.

RESULTS

A total of 4302 participants' health data were ultimately analyzed, and the prevalence of kidney stones was 10.85 %. Participants with the highest urinary glyphosate(uGLY) content(Q3) had a higher prevalence of kidney stones compared with participants with the lowest uGLY content(Q1) (OR=1.70, 95 %CI: 1.10-2.63). Smoothed curve fitting revealed a linear positive association between ln-transformed uGLY and kidney stones (OR=1.21,95 %CI:1.08-1.37, LLR=0.291), and this exposure-outcome effect was at greater risk in men (OR=1.24,95 %CI: 1.05-1.46), non-Hispanic whites (OR=1.29, 95 %CI: 1.09-1.53), and hypertensive groups (OR=1.23,95 %CI: 1.05-1.44). Serum biochemical markers HDL, ALP, and serum glucose partially mediated the correlation between glyphosate and kidney stones (2.44-4.20 %).

CONCLUSION

Glyphosate exposure is significantly associated with the prevalence of kidney stones. In men, non-Hispanic whites, and hypertensive populations, the management of glyphosate exposure should be emphasized, and appropriate protective strategies may be beneficial in reducing the burden of kidney stones. More high-quality clinical inquiries and animal toxicology experiments are still required to verify the reliability of our findings and their underlying mechanisms.