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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.

Sec. Coronary Artery Disease

Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1637251

The Independent Value and Clinical Significance of Angio-Based Microvascular Resistance in Predicting Adverse Cardiovascular Events in Patients with Acute ST-Elevation Myocardial Infarction

Provisionally accepted
Zichen  HanZichen Han1Shiyi  GaoShiyi Gao1Yiliang  YanYiliang Yan2Xuemin  HuXuemin Hu2Chong  WangChong Wang2Zengwei  ChengZengwei Cheng3Sigan  HuSigan Hu4*
  • 1Bengbu Medical University, Bengbu, China
  • 2Suzhou First People’s Hospital, Suzhou, Anhui, China
  • 3Wuhe First People’s Hospital, Bengbu, China
  • 4The First Affiliated Hospital of Bengbu Medical College, Handan, China

The final, formatted version of the article will be published soon.

Background: Angio-based microvascular resistance (AMR) may influence the incidence of major adverse cardiovascular events (MACE) in patients with STsegment elevation myocardial infarction (STEMI) after percutaneous coronary intervention (PCI). However, its value as an independent predictive marker remains unclear.Methods: This study included 483 patients diagnosed with STEMI who underwent PCI between January 2021 and July 2023. The patients were classified into high and low AMR groups based on the AMR threshold. The relationship between AMR and MACE was assessed using multivariate logistic regression analysis, and the cumulative incidence of MACE was analyzed using Kaplan-Meier survival curves.Additionally, receiver operating characteristic (ROC) curves were used to determine the optimal cutoff value for AMR and its predictive efficacy.Results: During the 12-month follow-up period, the cumulative incidence of MACE was significantly higher in the high AMR group than in the low AMR group (P<0.0001). Multivariate logistic regression analysis indicated that AMR was an independent predictor of MACE (HR=1.085, 95% CI: 1.037-1.248, P<0.001).Kaplan-Meier survival curve analysis further validated a poorer prognosis in the high AMR group, with a significantly increased risk of MACE. ROC curve analysis established the optimal cutoff value of AMR at 246.5 mmHg•s/m, at which the sensitivity for predicting MACE was 0.98, with a specificity of 0.67 and an area under the curve of 0.889, indicating good predictive performance. Additionally, diabetes, hyperlipidemia, and elevated levels of N-terminal pro B-type natriuretic peptide (NT-proBNP) were significantly associated with the occurrence of MACE.with an optimal cutoff of 246.5 mmHg•s/m, facilitating early risk stratification by identifying high-risk patients. Additionally, diabetes, hyperlipidemia, and elevated NT-proBNP levels were significantly associated with an increased risk of MACE. A low postoperative quantitative flow ratio also correlated with a higher MACE risk, further highlighting the impact of coronary blood flow restoration on patient outcomes.

Keywords: ST-segment elevation myocardial infarction, Coronary microvascular dysfunction, angio-based microvascular resistance, quantitative flow ratio, Percutaneous Coronary Intervention, Major adverse cardiovascular events

Received: 03 Jun 2025; Accepted: 05 Aug 2025.

Copyright: © 2025 Han, Gao, Yan, Hu, Wang, Cheng and Hu. 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: Sigan Hu, The First Affiliated Hospital of Bengbu Medical College, Handan, China

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