Association between estimated glucose disposal rate and female infertility: a cross-sectional study DOI Creative Commons
Meng Li, Lisong Zhang, Xiaoyu Li

et al.

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 12, 2024

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

Language: Английский

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 DOI Creative Commons

Luqing Jiang,

Tao Zhu,

Wenjing Song

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 6, 2025

Estimate glucose disposal rate (eGDR), Chinese visceral adiposity index (CVAI), triglyceride-glucose (TyG), TyG-body mass (TyG-BMI), metabolic score for insulin resistance (METS-IR), and atherogenic of plasma (AIP) are considered surrogate indexes (IR). There is a lack studies comparing the predictive values different IR stroke risk among individuals with abnormal metabolism. This study aimed to investigate relationships between six in metabolism, evaluate their abilities risk. Data from China Health Retirement Longitudinal Study (CHARLS) were analysed this study. Multivariate logistic regression models applied analyse The dose-response explored using restricted cubic splines. areas under curve (AUCs) calculated by receiver operating characteristic (ROC) analysis. After adjusting potential confounders, we observed that each standard deviation (SD) increase eGDR was associated reduced stroke, an adjusted odds ratio (OR) 0.746 [95% confidence interval (CI): 0.661-0.842]. In contrast, SD CVAI, TyG, TyG-BMI, METS-IR, AIP increased ORs (95% CIs) 1.232 (1.106-1.373), 1.246 (1.050-1.479), 1.186 (1.022-1.376), 1.222 (1.069-1.396), 1.193 (1.050-1.355), respectively. Dose-response analyses showed eGDR, TyG-BMI METS-IR linearly (Pnonlinear ≥ 0.05), whereas TyG nonlinearly < 0.05). According ROC analysis, AUC predicting overall population metabolism (AUC: 0.612, 95% CI: 0.584-0.640) significantly higher than other indexes. closely high promising middle-aged elderly populations

Language: Английский

Citations

3

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 DOI Creative Commons

Dawei Xing,

Jing Xu,

Xiaochun Weng

et al.

Diabetology & Metabolic Syndrome, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 9, 2025

Estimated glucose disposal rate (eGDR), is an index of insulin resistance. It intimately correlated with inflammation and endothelial dysfunction, both which are contributory factors in the pathogenesis cardiovascular disease (CVD) premature mortality. This study aims to explore correlation between eGDR all-cause CVD-related mortality adults metabolic syndrome (MetS). A total 8215 subjects MetS screened from National Health Nutrition Examination Survey (NHANES) during period 1999 2018 were evaluated for predictive value CVD Over a median follow-up 8.3 years, 1537 deaths (18.7%) 467 (5.7%) recorded. Logistic regression analyses revealed significant inverse risk having (OR:0.845, 95%CI:0.807-0.884, p < 0.01). Multivariate Cox analysis restricted cubic splines demonstrated that non-linearly (HR: 0.906, 95% CI: 0.850-0.967, = 0.003) 0.944, 0.912-0.977, 0.001), identified inflection point at 5.918. Further subgroup indicated more pronounced individuals under 60 years old 0.893, 95%CI:0.823-0.970) or those obesity (HR:0.891, 95%CI:0.839-0.946). Mediation neutrophil lymphocyte ratio mediated 8.9% demonstrates, first time, decrease associated increased MetS. The indices could serve as surrogate biomarkers monitoring patients

Language: Английский

Citations

2

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 DOI Creative Commons

Jing Tian,

Chen Hu,

Yan Luo

et al.

Diabetology & Metabolic Syndrome, Journal Year: 2025, Volume and Issue: 17(1)

Published: Feb. 14, 2025

Insulin resistance is a crucial factor in the development of cardiovascular diseases (CVD), yet relationship between estimated glucose disposal rate (eGDR), an index reflecting insulin resistance, and risk new-onset CVD among individuals with cardiovascular-kidney-metabolic (CKM) syndrome stage 0–3 remains underexplored, large-scale prospective cohort studies are needed to clarify this relationship. All data for study were extracted from China Health Retirement Longitudinal Study (CHARLS). The primary outcome was incidence (including heart (HD) stroke) during follow-up period (from 2013 2020). Multivariable logistic regression models applied elucidate eGDR developing CVD. restricted cubic splines (RCS), mediation analysis, stratified analyses also employed. This included 6752 participants, whom 1495 (22%) developed Odds ratios 95% confidence intervals lowest level (<7.37 mg/kg/min) highest (≥ 11.16 1.00 (reference), 0.81 (0.68, 0.96), 0.72 (0.58, 0.88), 0.74 0.94) respectively, occurrence CVD; (0.67,0.97), (0.57,0.90), 0.75 (0.58,0.97) HD; 0.91 (0.74,1.12), 0.80 (0.62,1.04), 0.71 (0.52,0.97) stroke after adjusting all potential covariates. RCS analysis discovered approximately inverse "L" correlation HD across CKM stages (All P overall < 0.001, nonlinear = 0.005), while there negative linear (P 0.026, 0.098). Furthermore, proportions mediated through BMI 41.98%, 43.05%, 43.23% CVD, stroke, respectively. No significant interactions found. novel indicator 0–3, serving as partial mediator association risk. Addressing may represent viable strategy reducing population.

Language: Английский

Citations

2

Impact of a 12‐week personalized dietary intervention on vascular function and cardiovascular risk factors DOI Creative Commons
Lisa Wanders, Anouk Gijbels, Gabby B. Hul

et al.

Diabetes Obesity and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Individuals with liver insulin-resistant (LIR) or muscle (MIR) phenotypes may respond differently to dietary interventions. Given the interaction between insulin resistance and cardiovascular risk, this sub-analysis of PERSON study examined whether a personalized diet according MIR LIR improves vascular function disease risk factors. We randomized 119 participants 12-week low-fat, high-protein, high-fibre (LFHP; be optimal for LIR) Mediterranean (high in monounsaturated fat, HMUFA; MIR). Randomization linked (IR) phenotype proposed diet, leading PhenoDiet A (MIR-HMUFA LIR-LFHP) B (MIR-LFHP LIR-HMUFA). Before after intervention, (carotid artery reactivity) factors (blood pressure, total cholesterol, HDL-cholesterol Framingham score) were examined. 7-point oral glucose tolerance test was performed determine (Matsuda index HOMA-IR) disposition index. Following drop-out (n = 18), 101 finished intervention (54 women, 61 ± 7 years, 27.6 [26.4;30.0] kg/m2), n 80 available primary outcome function. Overall, interventions significantly decreased blood score (all p < 0.05), while not affected (p 0.485). Insulin ≤ 0.001), but 0.362), improved intervention. The Matsuda 0.078) tended increase more cholesterol 0.052) decrease group than A, other changes parameters different groups. LFHP resulted pronounced improvements diastolic pressure (DBP) compared HMUFA 0.05). metabolic outcomes, adults overweight obesity. Whilst greater cardiometabolic markers we found no significant differences

Language: Английский

Citations

0

More comprehensive relationship between eGDR and sarcopenia in China: a nationwide cohort study with national representation DOI Creative Commons

Zikai Jin,

Liming Zheng, Chuanrui Sun

et al.

Diabetology & Metabolic Syndrome, Journal Year: 2025, Volume and Issue: 17(1)

Published: March 24, 2025

Although studies had shown that Insulin resistance (IR) was correlated with the occurrence of sarcopenia, there were still many controversial conclusions. Therefore, we conducted a more comprehensive study on relationship between estimated glucose disposal rate (eGDR), an alternative indicator IR, and risk muscle mass, strength to clarify their interactions. The Study included individuals from China Health Retirement Longitudinal (CHARLS) who complete eGDR data at baseline did not develop low mass strength. divided into four subgroups based quartile (Q) eGDR. lowest (Q1) used as reference. Logistic regression linear evaluate sarcopenia (low strength, possible sarcopenia) related features (ASM/Ht2, grip, RMS), respectively. In addition, further evaluated nonlinear using smooth curve fitting threshold effect analysis. results showed after adjusting for confounders, negatively associated positively characteristics. men significant reduction in likelihood compared women. But levels rise, women gain ASM/Ht2. Further analysis revealed inverse correlation ASM/Ht2 inflection point 15.3893. Besides that, grip (7.1862) RMS (11.1042) before point. found higher lower developing sarcopenia. However, effects need be considered comprehensively. For it is recommended maintain below 15.3893, 7.1862, potential benefits early warning

Language: Английский

Citations

0

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 DOI Creative Commons
Yuwen Chen,

Wen Lian,

Lei Wu

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: March 29, 2025

The Cardiovascular-Kidney-Metabolic (CKM) syndrome underscores the complex interactions among metabolic disorders, kidney disease, and cardiovascular conditions. Insulin resistance (IR) inflammation are crucial in CKM development, but their combined effect stages 0–3 remains unclear. Using data from National Health Nutrition Examination Survey (NHANES), we included 18,295 participants with 10 cycles between 1999 2018. IR was assessed using estimated glucose disposal rate (eGDR), systemic evaluated Systemic Inflammation Response Index (SIRI). primary endpoint all-cause mortality, secondary disease (CVD) mortality. Over an average follow-up period of 121 months, recorded 1,998 deaths 539 CVD deaths. Both eGDR SIRI were independent risk factors for hazard ratios (HR) 0.90 (0.86, 0.94) mortality 0.85 (0.78, 0.93) per unit increase eGDR. For SIRI, HRs 1.16 (1.11, 1.21) 1.33 (1.19, 1.46) SIRI. Compared to individuals high low levels, those levels exhibited significantly higher risks, 1.97 (1.58, 2.44) 2.35 (1.48, 3.73) Subgroup analysis revealed that impact particularly significant patients under 60 years old. In 0–3, have joint on Combining these markers can help identify high-risk early, enabling timely monitoring intervention improve outcomes. What is currently known about this topic? key research question? new? How might study influence clinical practice?

Language: Английский

Citations

0

Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0–3 and the development of a machine learning prediction model: a nationwide prospective cohort study DOI Creative Commons
Bingtian Dong, Yuping Chen,

Xiaocen Yang

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: April 16, 2025

Background The American Heart Association recently introduced the concept of cardiovascular-kidney-metabolic (CKM) syndrome, highlighting increasing importance complex interplay between metabolic, renal, and cardiovascular diseases (CVD). While substantial evidence supports a correlation estimated glucose disposal rate (eGDR) CVD events, its predictive value compared with other insulin resistance (IR) indices, such as triglyceride–glucose (TyG) index, TyG-waist circumference, TyG-body mass TyG-waist-to-height ratio, triglyceride-to-high density lipoprotein cholesterol metabolic score for resistance, remains unclear. Methods This prospective cohort study utilized data from China Health Retirement Longitudinal Study (CHARLS). individuals were categorized into four subgroups based on quartiles eGDR. associations eGDR incident evaluated using multivariate logistic regression analyses restricted cubic spline. Seven machine learning models to assess index events. To model’s performance, we applied receiver operating characteristic (ROC) precision-recall (PR) curves, calibration decision curve analysis. Results A total 4,950 participants (mean age: 73.46 ± 9.93 years), including 50.4% females, enrolled in study. During follow-up 2011 2018, 697 (14.1%) developed CVD, 486 (9.8%) heart disease 263 (5.3%) stroke. outperformed six IR indices predicting demonstrating significant linear relationship all outcomes. Each 1-unit increase was associated 14%, 19% lower risk disease, stroke, respectively, fully adjusted model. incorporation significantly improved prediction performance area under ROC PR curves equal or exceeding 0.90 both training testing sets. Conclusions outperforms stroke CKM syndrome stages 0–3. Its enhances stratification may aid early identification high-risk this population. Further studies are needed validate these findings external cohorts. Graphical abstract

Language: Английский

Citations

0

Association of the estimated glucose disposal rate with and mortality risk in patients with atherosclerotic cardiovascular disease: A cohort study from the NHANES 1999–2018 DOI
Guoming Li,

Weilin Yang,

Zhuoran Kuang

et al.

Diabetes Research and Clinical Practice, Journal Year: 2025, Volume and Issue: unknown, P. 112263 - 112263

Published: May 1, 2025

Language: Английский

Citations

0

Kidney Damage in Pediatric Obesity: Insights from an Emerging Perspective DOI Open Access
Gabriele Forcina,

Margherita Luciano,

Vittoria Frattolillo

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(23), P. 7025 - 7025

Published: Nov. 21, 2024

The role of obesity as a risk factor for chronic kidney disease (CKD) in adulthood has been well established. Over the last years, damage (KD) emerged significant consequence since childhood. Indeed, complex interplay metabolic factors, including insulin resistance (IR), hypertension, oxidative stress, adipose tissue dysfunction, and systemic inflammation, might affect renal hemodynamics, contributing to CKD development over time at-risk young patients. As prevalence pediatric continues rise globally, understanding implications health terms early intervention is paramount importance. Careful monitoring function within multidisciplinary approach children with crucial detecting KD, allowing timely lifestyle modifications treatment. In this framework, continued research essential further elucidate mechanisms linking KD explore not only effective preventive strategies but also long-term impact on obesity. Given intimate link milieu obesity, we aimed provide comprehensive insightful overview its by reviewing most recent literature field.

Language: Английский

Citations

2

Association between estimated glucose disposal rate and female infertility: a cross-sectional study DOI Creative Commons
Meng Li, Lisong Zhang, Xiaoyu Li

et al.

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 12, 2024

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

Language: Английский

Citations

0