Evidence map›Paper›PMID 40119310›Full record

ArticleBMC cardiovascular disorders2025

Predictive value of the triglyceride-glucose index for coronary artery bypass grafting-acute kidney injury patients.

Biao Hou, Xuejian Hou, Dong Liu, Taoshuai Liu, Kui Zhang, Yang Li, Ran Dong

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 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

7 authors.

Biao HouCapital Medical University Affiliated Anzhen Hospital, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Xuejian HouCapital Medical University Affiliated Anzhen Hospital, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Dong LiuCapital Medical University Affiliated Anzhen Hospital, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Taoshuai LiuCapital Medical University Affiliated Anzhen Hospital, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Kui ZhangCapital Medical University Affiliated Anzhen Hospital, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Yang LiCapital Medical University Affiliated Anzhen Hospital, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China. Anzhenliy@163.com.
Ran DongCapital Medical University Affiliated Anzhen Hospital, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China. dongran6618@hotmail.com.

Funding

Research Incubation Program for Beijing Hospitals in 2023 No. PX2023024.
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a common and serious complication after coronary artery bypass grafting (CABG), significantly affecting patient outcomes. The triglyceride-glucose (TyG) index, a marker of insulin resistance, has shown potential in predicting various metabolic and cardiovascular conditions. This study aimed to evaluate the predictive value of the TyG index for AKI occurrence following CABG.

methodsThis retrospective, single-center study included 3,260 patients who underwent CABG. Patients were categorized into AKI and non-AKI groups based on postoperative renal function. The preoperative TyG index was calculated from fasting blood glucose and triglyceride levels. Patients were further divided into quartiles based on the TyG index. Logistic regression analysis was used to assess the relationship between TyG index and AKI risk. Subgroup analyses and spline regression were employed to explore potential interactions and non-linear relationships.

resultsOf the 3,260 patients, 514 (15.8%) developed AKI. Baseline characteristics showed that AKI patients had significantly higher levels of hemoglobin (Hb), alanine aminotransferase (ALT), aspartate aminotransferase (AST), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and glucose, while brain natriuretic peptide (BNP) levels were lower compared to non-AKI patients. Logistic regression analysis confirmed that the TyG index was an independent risk factor for AKI following CABG, both as a continuous variable (OR 1.034 [95% CI 1.017-1.050], p < 0.001) and when grouped by quartiles. A non-linear relationship between TyG index and AKI risk was observed, with a significant increase in AKI risk when the TyG index exceeded 5.4. Subgroup analyses revealed that this association was consistent across multiple patient groups, including those stratified by age, sex, BMI, extracorporeal circulation use, and comorbidities such as hypertension, diabetes, and hyperlipidemia.

conclusionsThe preoperative TyG index is a significant independent predictor of AKI after CABG, with a dose-response relationship observed across various subgroups. Monitoring the TyG index can help identify high-risk patients, potentially guiding early intervention and improving postoperative outcomes. These findings underscore the potential of the TyG index as a valuable tool for predicting AKI in clinical practice, warranting further validation in prospective studies.

Indexed as

Acute Kidney InjuryBlood GlucoseCoronary Artery BypassInsulin ResistanceTriglyceridesAgedBiomarkersFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsTreatment OutcomeBiomarkersBlood GlucoseTriglyceridesAKICABGTriglyceride-glucose

Identifiers

PMID40119310
PMCPMC11927188

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.