Evidence map›Paper›PMID 41126102›Full record

ArticleBMC endocrine disorders2025

Triglyceride-glucose index association with kidney function in adults; a population-based study.

Yahya Pasdar, Sepideh Kazemi Neya, Hamid Reza Nikbakht, Ebrahim Shakiba, Farid Najafi, Mehran Pournazari, Mehdi Moradi Nazar, Bita Anvari, Mitra Darbandi

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Yahya PasdarResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Sepideh Kazemi NeyaResearch Centre for Prevention of cardiovascular disease, Institute of Endocrinology & Metabolism, Iran University of Medical Sciences, Tehran, Iran.
Hamid Reza NikbakhtMedical faculty, Zahedan university of medical sciences, Zahedan, Iran. hrnikbakht2020@gmail.com.
Ebrahim ShakibaPromotion Research Centre Research Institute for Health Kermanshah, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Farid NajafiResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Mehran PournazariClinical research development center, Imam Reza hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Mehdi Moradi NazarResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Bita AnvariInternal medicine department, medical faculty, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Mitra DarbandiResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperglycemia and hypertriglyceridemia, two key elements of insulin resistance, are linked with developing kidney dysfunction. The Triglyceride-glucose (TyG) index, composed of blood lipids and glucose, may help assess the risk of kidney dysfunction. This study aimed to clarify the effect of TyG on estimated glomerular filtration rate (eGFR) reduction in adults in western Iran.

methodsThis cross-sectional study involved a total of 9,661 participants, aged 35 to 65 years, drawn from the Ravansar Non-Communicable Diseases (RaNCD) cohort. Among these, 1,044 individuals were identified with chronic kidney disease (CKD), while 8,617 were classified as healthy. The triglyceride-glucose index (TyG) was calculated using the formula ln [triglyceride (mg/dL) × fasting plasma glucose (mg/dL)/2]. Additionally, an eGFR less than of 60 ml/min per 1.73 m² was employed to indicate kidney dysfunction.

results48% of participants were male, and 40.14% were from rural areas. The prevalence of reduced eGFR was 10.81%. Compared to the first quartile, the fourth had significantly higher rates of hypertension, type 2 diabetes, cardiovascular disease, and dyslipidemia (P < 0.001). The odds of kidney dysfunction (eGFR reduction) were 47% in the third quartile (OR: 1.47; 95% CI: 1.20, 1.81) and 75% in the fourth quartile (OR: 1.75; 95% CI: 1.42, 2.17), significantly higher than those in the first quartile of the TyG index (P trend < 0.001), after adjustment for confounding factors.

conclusionLipid and glucose imbalances may be markers for decreased kidney function, and it is recommended that patients with such imbalances be screened for kidney disease.

Indexed as

BiomarkersBlood GlucoseRenal Insufficiency, ChronicTriglyceridesAdultAgedCross-Sectional StudiesFemaleFollow-Up StudiesGlomerular Filtration RateHumansIranMaleMiddle AgedPrevalencePrognosisBiomarkersBlood GlucoseTriglyceridesGlucoseHyperglycemiaHypertriglyceridemiaKidney diseaseTriglyceride

Identifiers

PMID41126102
PMCPMC12542502

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