Evidence map›Paper›PMID 37865782›Full record

ArticleCardiovascular diabetology2023

Triglyceride-glucose index is associated with severe obstructive coronary artery disease and atherosclerotic target lesion failure among young adults.

Shalaimaiti Shali, Lingfeng Luo, Kang Yao, Xiangdong Sun, Hongyi Wu, Shuning Zhang, Lili Xu, Wei Gao, Jianxuan Li, Juying Qian and 4 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Shalaimaiti Shali *Department of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China.
Lingfeng Luo *Human Phenome Institute, Fudan University, Shanghai, 200433, China.
Kang Yao *Department of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China.
Xiangdong SunDepartment of Cardiology, Xinyang Central Hospital, Xinyang Normal University, Xinyang, Henan, 464000, China.
Hongyi WuDepartment of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China.
Shuning ZhangDepartment of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China.
Lili XuDepartment of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China.
Wei GaoDepartment of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China.
Jianxuan LiDepartment of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China.
Juying QianDepartment of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China.
Yan ZhengDepartment of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China. yan_zheng@fudan.edu.cn.
Yuxiang DaiDepartment of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China. dai.yuxiang@zs-hospital.sh.cn.
Junbo GeDepartment of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Disease, Fudan University, Shanghai, 200032, China. jbge@zs-hospital.sh.cn.
the GRAND investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly diagnosis and treatment effectiveness of early-onset coronary artery disease (EOCAD) are crucial, and non-invasive predictive biomarkers are needed for young adults. We aimed to evaluate the usefulness of the triglyceride-glucose (TyG) index, a novel marker of insulin resistance, in identifying young CAD patients and predicting their risk of developing target lesion failure (TLF).

methodsWe recruited EOCAD patients (luminal narrowing ≥ 70%) and controls free from CAD (luminal narrowing < 30%), both aged 45 years or younger, from 38 hospitals in China between 2017 and 2020. EOCAD patients who underwent successful percutaneous coronary intervention were followed for incident TLF. TyG index was defined as Ln [fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. We used logistic regression and Cox proportional hazards modeling to evaluate the association of TyG index with prevalent EOCAD and incident TLF, respectively. The discriminatory ability of TyG index was assessed by the area under the receiver-operating characteristic curve (AUC).

resultsAmong the included 1513 EOCAD patients (39.6 ± 4.4 years, 95.4% male) and 1513 age-matched controls (39.0 ± 4.4 years, 46.4% male), TyG index was positively associated with the prevalence of EOCAD (adjusted odds ratio: 1.40, 95% confidence interval [CI] 1.23-1.60, per standard deviation [SD] increase in TyG index). The addition of TyG index to an empirical risk model provided an improvement in diagnostic ability for EOCAD, with a net reclassification improvement of 0.10 (95% CI 0.03-0.17, p = 0.005). During a medium of 33 month (IQR: 31-34 months) follow-up, 43 (3.3%) patients experienced TLF. Multivariate Cox regression model revealed that TyG index was an independent risk factor for TLF (adjusted hazard ratio [HR]: 2.410, 95% CI 1.07-5.42 comparing the top to bottom TyG index tertile groups; HR: 1.30, 95% CI 1.01-1.73, per SD increase in TyG index). Compared with a model of conventional risk factors alone, the addition of the TyG index modestly improved the AUC (0.722-0.734, p = 0.04) to predict TLF.

conclusionsTyG index is positively associated with prevalent EOCAD and incident TLF. TyG index appeared to be a valuable component of future efforts to improve CAD risk stratification and TLF outcome prediction among young adults.

Indexed as

AtherosclerosisCoronary Artery DiseaseBiomarkersBlood GlucoseFemaleGlucoseHumansMaleRisk AssessmentRisk FactorsTriglyceridesYoung AdultBiomarkersBlood GlucoseGlucoseTriglyceridesCoronary artery diseaseEarly-onsetInsulin resistanceTarget lesion failureTyG index

Identifiers

PMID37865782
PMCPMC10590519

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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 OpenQuestion graph.