The Development of a Nomogram Predictive Model for Intracardiac Thrombosis Risk: A Study Based on Risk Factors in Patients with Acute Myocardial Infarction.

IF 3.9 3区工程技术 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Biomedicines Pub Date : 2025-03-10 DOI:10.3390/biomedicines13030679

Xiaowei Huo, Zizhu Lian, Peizhu Dang, Yongjian Zhang

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Abstract

Background/Objectives: Intracardiac thrombosis (ICT) is a serious complication in acute myocardial infarction (AMI) patients. This study aimed to identify potential risk factors of ICT in AMI patients, providing valuable insights for clinical management. Methods: A case-control study was conducted involving consecutive AMI patients admitted to the First Affiliated Hospital of Xi'an Jiaotong University between January 2019 and December 2022. Binary logistic regression identified independent risk factors of ICT and a nomogram prediction model was constructed and validated for accuracy. Conclusions: A total of 7341 patients with ICT and 74 without ICT were included. Multivariate logistic regression identified male gender, acute anterior wall myocardial infarction (AWMI), ventricular aneurysm, and lower prothrombin activity as independent risk factors of ICT in AMI patients. A nomogram based on these factors demonstrated excellent performance (AUC: 0.910, 95% CI: 0.877-0.943, p < 0.001), with calibration and sensitivity analyses confirming its robustness. This nomogram provides an accurate tool for predicting ICT risk, facilitating personalized management and early intervention in AMI patients.

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基于急性心肌梗死患者危险因素的心内血栓形成风险Nomogram预测模型的建立

背景/目的：心内血栓形成（ICT）是急性心肌梗死（AMI）患者的严重并发症。本研究旨在确定AMI患者发生ICT的潜在危险因素，为临床管理提供有价值的见解。方法：对2019年1月至2022年12月在西安交通大学第一附属医院连续住院的AMI患者进行病例对照研究。二元逻辑回归识别了ICT的独立危险因素，构建了nomogram预测模型，并对其准确性进行了验证。结论：共纳入ICT患者7341例，未ICT患者74例。多因素logistic回归分析发现，男性、急性前壁心肌梗死（AWMI）、室性动脉瘤和凝血酶原活性降低是AMI患者发生ICT的独立危险因素。基于这些因素的模态图显示出良好的性能（AUC: 0.910, 95% CI: 0.877-0.943, p < 0.001），校准和敏感性分析证实了其稳健性。该nomogram为预测AMI患者的ICT风险提供了准确的工具，有助于AMI患者的个性化管理和早期干预。

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

Biomedicines Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology

CiteScore

5.20

自引率

8.50%

发文量

2823

审稿时长

8 weeks

期刊介绍： Biomedicines (ISSN 2227-9059; CODEN: BIOMID) is an international, scientific, open access journal on biomedicines published quarterly online by MDPI.