Evidence map›Paper›PMID 41606747›Full record

ArticleLipids in health and disease2026

TyHGB combined with diagonal earlobe crease and traditional risk factors for constructing a diagnostic model of coronary heart disease.

Mingliang Sun, Wenxin Lin, Rui Gong, Ruoling Guo, Min Zhang, Yuhua Yin, Yanchun Wang, Shasha Zhang, Tiezhu Dong, Donglei Luo

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In one paragraph

Article in Lipids in health and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Mingliang SunGraduate School, Chengde Medical University, Chengde , 06700, China.
Wenxin LinGraduate School, Chengde Medical University, Chengde , 06700, China.
Rui GongGraduate School, Chengde Medical University, Chengde , 06700, China.
Ruoling GuoGraduate School, Chengde Medical University, Chengde , 06700, China.
Min ZhangDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Chengde , 067000, China.
Yuhua YinDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Chengde , 067000, China.
Yanchun WangDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Chengde , 067000, China.
Shasha ZhangDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Chengde , 067000, China.
Tiezhu DongDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Chengde , 067000, China. 44797453@qq.com.
Donglei LuoDepartment of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Chengde , 067000, China. dongleiluocn@aliyun.com.

Funding

the Funding Project for Cultivating Innovative Ability of Postgraduates at Chengde Medical University No. CYCXZZ202508the Medical Science Research Project of Hebei Province No. 20200348the S&T Program of Chengde No. 202109A019
6 · The paper itself

Abstract

backgroundTyHGB is a novel insulin resistance (IR)-related indicator, and its association with coronary heart disease (CHD) remains unclear. Additionally, studies have shown a close correlation between the diagonal earlobe crease (DELC) and CHD, yet it has not been fully applied in clinical practice to date. Therefore, this study constructed and validated a diagnostic model for CHD by combining TyHGB and DELC.

methodsA total of 1664 patients suspected of CHD who underwent coronary angiography (CAG) in the Department of Cardiology, Chengde Central Hospital from September 2021 to April 2025 were recruited for this study. Participants were categorized into a CHD group (n = 1,316) and a non-CHD group (n = 348). Univariate and multivariate logistic regression analyses were employed to assess the associations of TyHGB, DELC, and other relevant factors with CHD. Restricted cubic spline (RCS) analysis was employed to assess the dose-response correlation between TyHGB and the risk of CHD, and TyHGB levels were compared across quartiles. A nomogram incorporating TyHGB and DELC was developed, and its diagnostic performance was assessed using decision curve analysis (DCA) and receiver operating characteristic (ROC) curves.

resultsAge, sex, hypertension, diabetes, CR, Lp(a), TyHGB, and DELC were identified as independent risk factors for CHD through multivariate logistic regression analysis (P < 0.05). RCS curve analysis demonstrated a linear relationship between TyHGB and CHD risk (P for nonlinear = 0.477). Further quartile grouping of TyHGB revealed a progressive increase in CHD risk with rising TyHGB levels. Compared to the first quartile group, patients in the fourth quartile group exhibited a 2.087-fold higher risk of CHD (95% CI: 1.374–3.170). Optimal predictive variables were selected in the training set using Lasso regression and multivariate logistic regression. ROC curves were utilized to validate diagnostic performance, with the training set yielding an area under the curve (AUC) of 0.706 (95% CI: 0.669–0.743) and the validation set an AUC of 0.716 (95% CI: 0.657–0.775).

conclusionsBoth TyHGB and DELC have been identified as independent risk factors for CHD, with a linear relationship observed between TyHGB levels and CHD risk. A diagnostic model for CHD, developed by integrating TyHGB, DELC, and traditional risk factors, demonstrates strong diagnostic efficacy.

Indexed as

Coronary DiseaseInsulin ResistanceAgedCoronary AngiographyFemaleHumansLogistic ModelsMaleMiddle AgedNomogramsRisk FactorsROC CurveCardiovascular riskCoronary heart diseaseDiagonal earlobe creaseTyHGB

Identifiers

PMID41606747
PMCPMC12924619

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.