ORIGINAL RESEARCH article
Front. Med.
Sec. Intensive Care Medicine and Anesthesiology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1643933
This article is part of the Research TopicInflammation in Cardiovascular and Neurological Diseases: Mechanisms, Biomarkers, and Clinical ImplicationsView all articles
Inflammation-Related Biomarkers for Intracardiac Thrombosis in Acute Myocardial Infarction: Predictive Value and Mechanistic Implications of NLR and LDL-C
Provisionally accepted
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Background: Inflammatory pathways critically contribute to the pathogenesis of intracardiac thrombosis (ICT) following acute myocardial infarction (AMI) patients. This study evaluated the predictive value of inflammation biomarkers for ICT. Methods: This retrospective case-control study included 8,999 AMI patients hospitalized at the First Affiliated Hospital of Xi’an Jiaotong University from January 2018 to December 2022, among whom 88 developed ICT. To address class imbalance, 891 non-ICT patients were randomly selected as controls using a 1:10 ratio. Inflammation-related biomarkers were screened using univariate and multivariate logistic regression, and a risk heatmap was generated based on key predictors. Results: Multivariate logistic regression identified elevated neutrophil-to-lymphocyte ratio (NLR), N-terminal pro–B-type natriuretic peptide (NT-proBNP), low-density lipoprotein cholesterol (LDL-C), and reduced albumin-to-globulin ratio (AGR) as independent risk factors for ICT. NLR demonstrated the highest discriminatory capacity, demonstrating superior predictive performance (receiver operating characteristic [ROC] curve, area under the curve [AUC] = 0.774, 95% confidence interval [CI]: 0.724–0.823, p < 0.001) that persisted after full covariate adjustment, and remained significant after full adjustment (odds ratio [OR] = 2.54, 95% CI: 1.98–3.15, p = 0.002). Integration of NLR and LDL-C into a sex-stratified risk stratification matrix significantly enhanced diagnostic accuracy (AUC=0.838, 95% CI:0.799-0.878). Conclusion: This study established NLR as a robust indicator for ICT assessment and presents a practical, visual risk heatmap that may facilitate personalized thromboprophylaxis in AMI management.
Keywords: acute myocardial infarction1, Intracardiac thrombosis2, Neutrophil-to-lymphocyte ratio3, low-density lipoprotein cholesterol4, Inflammatory biomarkers5, risk prediction6
Received: 09 Jun 2025; Accepted: 21 Jul 2025.
Copyright: © 2025 Zhao, Lian, Wang and Mei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xiaoning Wang, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
Na Mei, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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