Evidence map›Paper›PMID 40281410›Full record

ArticleBMC cardiovascular disorders2025

Nonlinear relationship between triglyceride-glucose index and cardiovascular mortality with competing risk analysis on populations aged 18-80 years.

Jianchun Yao, Jinping Lu, Linfen Li, Liangping Huang

Abstract read
In one paragraph

Article in BMC cardiovascular 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
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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.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jianchun Yao *Department of Anesthesiology, The First Affiliated Hospital of Shantou University Medical College, No. 57 Changping Road, Jinping District, Shantou, Guangdong, 515000, China.
Jinping Lu *Department of Pediatrics, The Second Affiliated Hospital of Shantou University Medical College, No. 69 North Dongxia Road, Jinping District, Shantou, Guangdong, 515000, China.
Linfen LiOffice of Drug Clinical Trial Institution, The Second Affiliated Hospital of Shantou University Medical College, No. 69 North Dongxia Road, Jinping District, Shantou, Guangdong, 515000, China.
Liangping HuangOffice of Drug Clinical Trial Institution, The Second Affiliated Hospital of Shantou University Medical College, No. 69 North Dongxia Road, Jinping District, Shantou, Guangdong, 515000, China. Liangping83447@163.com.

Funding

Guangdong Medical Science and Technology Research Foundation A2024698Shantou Medical and Health Science and Technology Project [2023] No.68 - 44
6 · The paper itself

Abstract

backgroundThe existing evidence regarding the relationship between the triglyceride-glucose index (TyG index) and cardiovascular mortality risk remains relatively limited and controversial, particularly within the context of competing risk scenarios. This study seeks to investigate this relationship, while further incorporating the impact of non-cardiovascular mortality as a competing risk event to this association.

methodsData of eligible participants were extracted from National Health and Nutrition Examination Surveys (NHANES) 1999-2018. Traditional Cox proportional hazards regression and Fine-Gray sub-distribution hazard models were applied to assess the TyG index and cardiovascular mortality relationship. Restricted cubic splines were used to estimate possible non-linearity, while segmented regression and log-likelihood ratio tests were used to identify threshold values and model fit.

resultsThe final analysis compromised a number of 23,800 participants, with a mean age of 47.75 ± 18.06 years, and female prominent (51.72%). After fully adjusted, it revealed a positive relationship between the TyG index and cardiovascular mortality risk (HR = 1.24, 95%CI 1.08-1.41, P = 0.0017). Furthermore, upon considering non-cardiovascular mortality as competing risk event, the result of Fine-Gray sub-distribution hazard model analysis attenuated but remained significantly positive (sHR = 1.11, 95%CI 1.11-1.11, P < 0.0001). Besides, a non-linear reversed L-shaped relationship was revealed, with a cutoff value determined as 9.4. Below 9.4, the relationship was insignificant (HR = 1.10, 95%CI 0.92-1.31, P = 0.2866), whereas beyond 9.4, the relationship became positive (HR = 1.64, 95%CI 1.21, 2.22, P = 0.0014), and the log-likelihood ratio test confirmed the threshold effect (P = 0.049). Significant interaction was observed in age and body mass index (BMI) subgroups, respectively, with individuals ≤ 65 years and normal BMI category exhibited higher risk in the relationship (P for interaction < 0.05).

conclusionsThe present study reveals a robust positive relationship between the TyG index and cardiovascular mortality among individuals aged 18-80 years despite the influence from non-cardiovascular mortality event. Additionally, the relationship was non-linear with the risk intensifying when TyG index beyond a specific threshold. Besides, individuals younger than 65 years old with normal BMI may be more susceptible in this relationship. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Blood GlucoseCardiovascular DiseasesTriglyceridesAdolescentAdultAgedAged, 80 and overAge FactorsBiomarkersCause of DeathCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedBiomarkersBlood GlucoseTriglyceridesCardiovascular mortalityCompeting risk modelNHANESNonlinear relationshipTyG index

Identifiers

PMID40281410
PMCPMC12032673

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.