Evidence map›Paper›PMID 41089284›Full record

ArticleFrontiers in endocrinology2025

Positive correlations between TyG and TyG-BMI indices and the risk of NAFLD and degree of liver fibrosis in patients undergoing PCI.

Yingxiang Chen, Che Wang, Xiaoyu Du, Xiaotong Sun, Wenjuan Song, Chengzhi Lu

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Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Yingxiang ChenSchool of Medicine, Nankai University, Tianjin, China.
Che WangSchool of Medicine, Nankai University, Tianjin, China.
Xiaoyu DuClinical Medical College of Tianjin Medical University, Tianjin, China.
Xiaotong SunClinical Medical College of Tianjin Medical University, Tianjin, China.
Wenjuan SongClinical Medical College of Tianjin Medical University, Tianjin, China.
Chengzhi LuSchool of Medicine, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aim to investigate the association between TyG(Triglyceride-Glucose index) and TyG-BMI(Triglyceride-Glucose-Body Mass Index) indices and the risk of non-alcoholic fatty liver disease (NAFLD) in patients undergoing percutaneous coronary intervention (PCI), an area where their predictive value is currently unclear, despite their established link to insulin resistance, metabolic syndrome, and cardiovascular disease. Methods: In this cross-sectional study, 776 patients who underwent coronary angiography and PCI were categorized into NAFLD+PCI and PCI groups based on abdominal ultrasound. They were further classified by TyG and TyG-BMI indices. Continuous variables were compared using ANOVA, Wilcoxon-Mann-Whitney, or t-tests, while categorical variables were analyzed with χ² or Fisher exact tests. Logistic regression identified independent factors for NAFLD in PCI patients. ROC curves evaluated the predictive efficacy of TyG and TyG-BMI for NAFLD. Linear correlation and multiple linear regression assessed relationships among NAFLD fibrosis score (NFS), TyG, and TyG-BMI. Results: Among 776 patients, NAFLD was detected in 305. After adjusting for age, smoking, hypertension, diabetes, sex, and cardiovascular disease, multivariate logistic regression showed the TyG index was a significant risk factor for NAFLD in PCI patients (OR = 2.04; 95% CI, 1.62-2.55; P < 0.001). Similarly, the TyG-BMI index, total cholesterol, triglycerides, LDL cholesterol, fasting blood glucose, and BMI were associated with increased NAFLD risk. Each unit increase in the TyG index raised the NAFLD risk by 2.63-fold (OR = 2.63; 95% CI, 1.78-3.8; P<0.001), and each unit increase in the TyG-BMI index by 3.80-fold (OR = 3.80; 95% CI, 2.55-5.68; P < 0.001). Multivariate linear regression indicated that in the PCI-NAFLD group, each unit increase in the TyG index increased the NFS value by 0.247 (β = 0.247; 95% CI, 0.19-0.45; P < 0.001), and each unit increase in the TyG-BMI index increased the NFS value by 0.344 (β = 0.344; 95% CI, 0.28-0.59; P < 0.001). Conclusions: The TyG index and TyG-BMI were positively associated with the risk of NAFLD in patients treated with PCI, reflecting the severity of liver fibrosis.

Indexed as

Blood GlucoseBody Mass IndexLiver CirrhosisNon-alcoholic Fatty Liver DiseasePercutaneous Coronary InterventionTriglyceridesAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsBlood GlucoseTriglyceridesinsulin resistancenon-alcoholic fatty liver diseasePCITyGTyG-BMI

Identifiers

PMID41089284
PMCPMC12515620

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