Evidence mapPaperPMID 41607456Full record

ArticleFrontiers in endocrinology2025

The synergistic predictive value of hemoglobin glycation index and SYNTAX score for coronary artery disease complexity and long-term prognosis after percutaneous coronary intervention.

Dongyue Jia, Maoling Jiang, Jie Feng, Junli Pan, Yuqi Tao, Sisi Wang, Si Liu, Hanxiong Liu, Zhen Zhang, Shiqiang Xiong and 1 more

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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. Cited by 1 paper.

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1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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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

11 authors.

Dongyue JiaDepartment of Cardiology, Affiliated Hospital, Southwest Medical University, Luzhou, China.
Maoling JiangDepartment of Cardiology, The Third People's Hospital of Chengdu, Chengdu, China.
Jie FengDepartment of Cardiology, Affiliated Hospital, Southwest Medical University, Luzhou, China.
Junli PanDepartment of Cardiology, The Third People's Hospital of Chengdu, Chengdu, China.
Yuqi TaoDepartment of Cardiology, The Third People's Hospital of Chengdu, Chengdu, China.
Sisi WangDepartment of Cardiology, The Third People's Hospital of Chengdu, Chengdu, China.
Si LiuDepartment of Cardiology, Affiliated Hospital, Southwest Medical University, Luzhou, China.
Hanxiong LiuDepartment of Cardiology, The Third People's Hospital of Chengdu, Chengdu, China.
Zhen ZhangDepartment of Cardiology, The Third People's Hospital of Chengdu, Chengdu, China.
Shiqiang XiongDepartment of Cardiology, The Third People's Hospital of Chengdu, Chengdu, China.
Lin CaiDepartment of Cardiology, Affiliated Hospital, Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The complexity of coronary artery lesions and glucose metabolic disorders contributes to adverse long-term prognosis following percutaneous coronary intervention (PCI). This study aimed to evaluate the synergistic effect of coronary artery lesions-assessed by the SYNTAX score-and glucose metabolic disorders-quantified by the hemoglobin glycation index (HGI)-on predicting major adverse cardiac and cerebrovascular events (MACCEs) after PCI. Methods: A total of 609 coronary artery disease (CAD) patients undergoing PCI were enrolled in the final analysis. HGI was calculated by subtracting the predicted HbA1c (derived from fasting plasma glucose regression) from the observed HbA1c. Pearson's coefficients were used for correlation analyses. Kaplan-Meier and Cox regression analyses were used to assess associations with MACCEs. Mediation analysis evaluated whether the SYNTAX score mediated the HGI-MACCEs relationship. Results: Patients with higher HGI and SYNTAX scores (≥1.16764 and >22, respectively) exhibited a significantly increased mortality risk (p = 0.0052) and more complex coronary lesions. Multivariable analysis confirmed HGI and SYNTAX score as independent predictors of MACCEs. Additionally, the SYNTAX score partially mediated the association between HGI and adverse outcomes, with a mediation proportion of 13.05%. Conclusion: The HGI and SYNTAX score exert a synergistic effect in predicting the severity of CAD and the risk of adverse prognosis after PCI. It highlights the necessity of integrating both metabolic and anatomical assessment indices for comprehensive risk stratification of CAD patients undergoing PCI.

Indexed as

Coronary Artery DiseaseGlycated HemoglobinPercutaneous Coronary InterventionAgedBiomarkersBlood GlucoseFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRisk FactorsSeverity of Illness IndexBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humancoronary artery diseaseglucose metabolismpercutaneous coronary interventionprediction modelprognosis

Identifiers

PMID41607456
PMCPMC12834722

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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.