Construction and Clinical Relevance of a Predictive Model of Coronary Microcirculatory Dysfunction in Patients With Acute Myocardial Infarction Following Percutaneous Coronary Intervention.

IF 1.3 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Reviews in cardiovascular medicine Pub Date : 2025-06-30 eCollection Date: 2025-06-01 DOI:10.31083/RCM38533
Shuai Wang, Yuanyuan Zhao, Yanlong Zhao, Yanling Wang, Zhenxing Fan, Zhi Liu
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引用次数: 0

Abstract

Background: Coronary microcirculatory dysfunction (CMD) after percutaneous coronary intervention (PCI) in patients suffering from acute myocardial infarction (AMI) may adversely affect prognosis. The objective of this study was to assess the postoperative microcirculatory status and to construct a predictive model for CMD.

Methods: This study is a retrospective analysis of 187 AMI patients who underwent PCI at Xuanwu Hospital. Patients were divided into two cohorts based on postoperative angiography-derived microcirculatory resistance (AMR) values: a non-CMD group (AMR <250 mmHg*s/m, n = 93) and a CMD group (AMR ≥250 mmHg*s/m, n = 76). Clinical and laboratory data were extracted, predictive models were constructed and risk factors associated with CMD were identified through the implementation of LASSO regression analyses.

Results: The non-CMD group (n = 93) had a significantly lower body mass index (BMI) (25.40 ± 2.84) and a higher proportion of males (91.4%) compared to the non-CMD group (n = 76) (BMI: 26.64 ± 3.74, p < 0.05; males: 78.9%, p < 0.05). The non-CMD group also exhibited lower Creatine Kinase (CK) levels, glucose levels (GLU), mean platelet volume (MPV), and platelet distribution width (PDW). LASSO regression identified significant predictors of CMD after PCI in AMI patients. A nomogram showed excellent predictive performance (area under curve (AUC): 0.737) and higher net benefit compared to individual models.

Conclusion: The predictive model developed in this study effectively identifies the risk of microcirculatory dysfunction in AMI patients after PCI, providing important insights for clinical decision-making. Future research should further validate the external applicability of this model and explore its potential in clinical practice.

Clinical trial registration: NCT06062316, https://clinicaltrials.gov/study/NCT06062316?term=NCT06062316&rank=1, registration time: December 21, 2023.

急性心肌梗死患者经皮冠状动脉介入治疗后冠状动脉微循环功能障碍预测模型的构建及临床意义
背景:急性心肌梗死(AMI)患者经皮冠状动脉介入治疗(PCI)后冠状动脉微循环功能障碍(CMD)可能影响预后。本研究的目的是评估术后微循环状态,并建立CMD的预测模型。方法:对宣武医院行PCI治疗的187例AMI患者进行回顾性分析。根据术后血管造影衍生的微循环阻力(AMR)值将患者分为两组:非cmd组(AMR)结果:非cmd组(n = 93)的体重指数(BMI)(25.40±2.84)明显低于非cmd组(n = 76) (BMI: 26.64±3.74,p < 0.05;男性78.9%,p < 0.05)。非cmd组也表现出较低的肌酸激酶(CK)水平、葡萄糖水平(GLU)、平均血小板体积(MPV)和血小板分布宽度(PDW)。LASSO回归发现AMI患者PCI术后CMD的显著预测因子。与单个模型相比,nomogram显示了出色的预测性能(曲线下面积(AUC): 0.737)和更高的净效益。结论:本研究建立的预测模型可有效识别AMI患者PCI术后微循环功能障碍风险,为临床决策提供重要依据。未来的研究应进一步验证该模型的外部适用性,并探索其在临床实践中的潜力。临床试验注册:NCT06062316, https://clinicaltrials.gov/study/NCT06062316?term=NCT06062316&rank=1,注册时间:2023年12月21日。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Reviews in cardiovascular medicine
Reviews in cardiovascular medicine 医学-心血管系统
CiteScore
2.70
自引率
3.70%
发文量
377
审稿时长
1 months
期刊介绍: RCM is an international, peer-reviewed, open access journal. RCM publishes research articles, review papers and short communications on cardiovascular medicine as well as research on cardiovascular disease. We aim to provide a forum for publishing papers which explore the pathogenesis and promote the progression of cardiac and vascular diseases. We also seek to establish an interdisciplinary platform, focusing on translational issues, to facilitate the advancement of research, clinical treatment and diagnostic procedures. Heart surgery, cardiovascular imaging, risk factors and various clinical cardiac & vascular research will be considered.
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