{"title":"Association of the combined triglyceride-glucose and frailty index with chronic kidney disease: evidence from two national cohort studies.","authors":"Chao Cheng, Yaohui Jiang, Qiuping Luo, Feng Qin, Jiuhong Yuan","doi":"10.1007/s12020-026-04738-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to explore the relationships between TyG-Frailty Index (TyGFI), a comprehensive indicator of the triglyceride-glucose (TyG) index and frailty index (FI), and the risk of chronic kidney disease (CKD).</p><p><strong>Methods: </strong>A total of 8721 participants from the China Health and Retirement Longitudinal Study (CHARLS) and 9670 participants from the U.S. National Health and Nutrition Examination Survey (NHANES) were included for cross-sectional study; while 4102participants from CHARLS were included for longitudinal study. For longitudinal study, cumulative TyGFI (CumTyGFI) is calculated, and the participants were categorized into four clusters on the basis of the dynamic changes in the TyGFI through K-means clustering. Multivariable logistic regression models and cox proportional hazards models were applied to estimate associations with CKD, with adjustment for demographic, clinical, and lifestyle covariates. Restricted cubic spline (RCS) and subgroup analyses were used to explore dose-response relationships and interaction effects, respectively.</p><p><strong>Result: </strong>Higher TyGFI, older age, hypertension, diabetes, and dyslipidemia were associated with CKD. In fully adjusted models, the highest TyGFI quartile (CHARLS: OR 3.98, 95% CI 3.03-5.22; NHANES: OR 4.49, 95% CI 3.55-5.69), highest CumTyGFI quartile (HR 4.18, 95% CI 3.09-5.65), and \"increasing TyGFI alteration\" cluster (HR 3.56, 95% CI 2.69-4.71) all showed significant associations, with dose‑response trends confirmed by RCS.</p><p><strong>Conclusion: </strong>In two national datasets, higher TyGFI was associated with prevalent CKD in the cross-sectional analyses and with incident CKD in the longitudinal CHARLS analysis. TyGFI may serve as a compact epidemiological marker combining metabolic and frailty-related burden, although its predictive and clinical utility requires further validation.</p>","PeriodicalId":49211,"journal":{"name":"Endocrine","volume":"91 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endocrine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12020-026-04738-w","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This study aimed to explore the relationships between TyG-Frailty Index (TyGFI), a comprehensive indicator of the triglyceride-glucose (TyG) index and frailty index (FI), and the risk of chronic kidney disease (CKD).
Methods: A total of 8721 participants from the China Health and Retirement Longitudinal Study (CHARLS) and 9670 participants from the U.S. National Health and Nutrition Examination Survey (NHANES) were included for cross-sectional study; while 4102participants from CHARLS were included for longitudinal study. For longitudinal study, cumulative TyGFI (CumTyGFI) is calculated, and the participants were categorized into four clusters on the basis of the dynamic changes in the TyGFI through K-means clustering. Multivariable logistic regression models and cox proportional hazards models were applied to estimate associations with CKD, with adjustment for demographic, clinical, and lifestyle covariates. Restricted cubic spline (RCS) and subgroup analyses were used to explore dose-response relationships and interaction effects, respectively.
Result: Higher TyGFI, older age, hypertension, diabetes, and dyslipidemia were associated with CKD. In fully adjusted models, the highest TyGFI quartile (CHARLS: OR 3.98, 95% CI 3.03-5.22; NHANES: OR 4.49, 95% CI 3.55-5.69), highest CumTyGFI quartile (HR 4.18, 95% CI 3.09-5.65), and "increasing TyGFI alteration" cluster (HR 3.56, 95% CI 2.69-4.71) all showed significant associations, with dose‑response trends confirmed by RCS.
Conclusion: In two national datasets, higher TyGFI was associated with prevalent CKD in the cross-sectional analyses and with incident CKD in the longitudinal CHARLS analysis. TyGFI may serve as a compact epidemiological marker combining metabolic and frailty-related burden, although its predictive and clinical utility requires further validation.
目的:本研究旨在探讨甘油三酯-葡萄糖(TyG)指数和脆弱指数(FI)的综合指标TyG-脆弱指数(TyGFI)与慢性肾脏疾病(CKD)风险的关系。方法:选取中国健康与退休纵向研究(CHARLS)的8721名参与者和美国国家健康与营养检查调查(NHANES)的9670名参与者进行横断面研究;而来自CHARLS的4102名参与者被纳入纵向研究。纵向研究中,计算累积TyGFI (CumTyGFI),并根据TyGFI的动态变化通过K-means聚类将参与者分为4个簇。应用多变量logistic回归模型和cox比例风险模型来估计与CKD的关联,并对人口统计学、临床和生活方式协变量进行调整。采用限制性三次样条(RCS)和亚组分析分别探讨剂量-反应关系和相互作用效应。结果:较高的TyGFI、年龄、高血压、糖尿病和血脂异常与CKD相关。在完全调整后的模型中,最高TyGFI四分位数(CHARLS: OR 3.98, 95% CI 3.03-5.22; NHANES: OR 4.49, 95% CI 3.55-5.69)、最高CumTyGFI四分位数(HR 4.18, 95% CI 3.09-5.65)和“TyGFI改变增加”聚类(HR 3.56, 95% CI 2.69-4.71)均显示出显著相关性,RCS证实了剂量-反应趋势。结论:在两个国家数据集中,在横断面分析中,较高的TyGFI与流行的CKD有关,在纵向CHARLS分析中,较高的TyGFI与发生的CKD有关。TyGFI可以作为结合代谢和虚弱相关负担的紧凑流行病学标志物,尽管其预测和临床应用需要进一步验证。
期刊介绍:
Well-established as a major journal in today’s rapidly advancing experimental and clinical research areas, Endocrine publishes original articles devoted to basic (including molecular, cellular and physiological studies), translational and clinical research in all the different fields of endocrinology and metabolism. Articles will be accepted based on peer-reviews, priority, and editorial decision. Invited reviews, mini-reviews and viewpoints on relevant pathophysiological and clinical topics, as well as Editorials on articles appearing in the Journal, are published. Unsolicited Editorials will be evaluated by the editorial team. Outcomes of scientific meetings, as well as guidelines and position statements, may be submitted. The Journal also considers special feature articles in the field of endocrine genetics and epigenetics, as well as articles devoted to novel methods and techniques in endocrinology.
Endocrine covers controversial, clinical endocrine issues. Meta-analyses on endocrine and metabolic topics are also accepted. Descriptions of single clinical cases and/or small patients studies are not published unless of exceptional interest. However, reports of novel imaging studies and endocrine side effects in single patients may be considered. Research letters and letters to the editor related or unrelated to recently published articles can be submitted.
Endocrine covers leading topics in endocrinology such as neuroendocrinology, pituitary and hypothalamic peptides, thyroid physiological and clinical aspects, bone and mineral metabolism and osteoporosis, obesity, lipid and energy metabolism and food intake control, insulin, Type 1 and Type 2 diabetes, hormones of male and female reproduction, adrenal diseases pediatric and geriatric endocrinology, endocrine hypertension and endocrine oncology.