Evidence map›Paper›PMID 40115373›Full record

ArticleRisk management and healthcare policy2025

Association of the Triglyceride-Glucose Index with Body Composition and Laboratory Parameters in Chronic Kidney Disease Stages 3-5.

Shan-Shan Xu, Yan-Meng Guan, Hong-Yun Xuan, Xiu-Fang Fan, Ping Lu, Li-Hai Hao

Abstract read
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Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Shan-Shan XuDepartment of Nephrology, Weifang People's Hospital, Weifang, Shandong Province, 261041, People's Republic of China.
Yan-Meng GuanDepartment of Nephrology, Weifang People's Hospital, Weifang, Shandong Province, 261041, People's Republic of China.
Hong-Yun XuanDepartment of Nephrology, Weifang People's Hospital, Weifang, Shandong Province, 261041, People's Republic of China.
Xiu-Fang FanDepartment of Nephrology, Weifang People's Hospital, Weifang, Shandong Province, 261041, People's Republic of China.
Ping LuDepartment of Nephrology, Weifang People's Hospital, Weifang, Shandong Province, 261041, People's Republic of China.
Li-Hai HaoDepartment of Nephrology, Weifang People's Hospital, Weifang, Shandong Province, 261041, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the association of the triglyceride-glucose index (TyG index) with body composition and laboratory parameters in individuals with chronic kidney disease (CKD) stage 3-5. Methods: A total of 89 individuals with CKD stages 3-5 were classified into two groups based on glomerular filtration rate (GFR): the CKD stages 3 to 4 group (n = 53) and the CKD stage 5 group (n = 36). Body composition parameters, including body fat mass, lean body mass, skeletal muscle mass, and body mass index, were measured. Laboratory indices, including hemoglobin, albumin, cholesterol, and the TyG index were analyzed. The correlations between the TyG index and these parameters were analyzed using Pearson correlation, and the factors of the TyG index were analyzed using linear regression. Results: (1) Hemoglobin levels, lymphocyte counts, the TyG index, and low-density lipoprotein cholesterol concentrations were higher in patients with CKD stages 3 to 4 compared to those with CKD stage 5. (2) Measures of body composition, including body fat mass, lean body mass, skeletal muscle mass, and BMI were significantly higher in patients with CKD stages 3 to 4 compared to those with CKD stage 5. (3) The TyG index exhibited positive correlations with cholesterol, lymphocyte and monocyte counts, fasting blood glucose, triglycerides, low-density lipoprotein cholesterol, and BMI, while showing a negative correlation with serum creatinine levels. (4) Multivariate linear regression suggested that creatinine, blood glucose, GFR, triglycerides, low-density lipoprotein, and monocyte-lymphocyte ratio may be the influencing factors of TYG index. Conclusion: TYG index was positively correlated with BMI. The TyG index, an indicator of insulin resistance, is closely linked to chronic inflammation, impaired renal function, and alterations in blood glucose and lipid profiles. These findings underscore the potential utility of the TyG index in assessing metabolic and inflammatory changes in CKD.

Indexed as

bioelectrical impedancebody compositionchronic kidney diseaseinsulin resistancetriglyceride glucose index

Identifiers

PMID40115373
PMCPMC11922777

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