[A cardiac magnetic resonance-based risk prediction model for left ventricular adverse remodeling following percutaneous coronary intervention for acute ST-segment elevation myocardial infarction: a multi-center prospective study].

Q3 Medicine
Zhenyan Ma, Xin A, Lei Zhao, Hongbo Zhang, Ke Liu, Yiqing Zhao, Geng Qian
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引用次数: 0

Abstract

Objectives: To develop a risk prediction model for left ventricular adverse remodeling (LVAR) based on cardiac magnetic resonance (CMR) parameters in patients undergoing percutaneous coronary intervention (PCI) for acute ST-segment elevation myocardial infarction (STEMI).

Methods: A total of 329 acute STEMI patients undergoing primary PCI at 8 medical centers from January, 2018 to December, 2021 were prospectively enrolled. The parameters of CMR, performed at 7±2 days and 6 months post-PCI, were analyzed using CVI42 software. LVAR was defined as an increase >20% in left ventricular end-diastolic volume or >15% in left ventricular end-systolic volume at 6 months compared to baseline. The patients were randomized into training (n=230) and validation (n=99) sets in a 7∶3 ratio. In the training set, potential predictors were selected using LASSO regression, followed by univariate and multivariate logistic regression to construct a nomogram. Model performance was evaluated using receiver-operating characteristic (ROC) curves, area under the curve (AUC), calibration curves, and decision curve analysis.

Results: LVAR occurred in 100 patients (30.40%), who had a higher incidence of major adverse cardiovascular events than those without LVAR (58.00% vs 16.16%, P<0.001). Left ventricular global longitudinal strain (LVGLS; OR=0.76, 95% CI: 0.61-0.95, P=0.015) and left atrial active strain (LAAS; OR=0.78, 95% CI: 0.67-0.92, P=0.003) were protective factors for LVAR, while infarct size (IS; OR=1.05, 95% CI: 1.01-1.10, P=0.017) and microvascular obstruction (MVO; OR=1.26, 95% CI: 1.01-1.59, P=0.048) were risk factors for LVAR. The nomogram had an AUC of 0.90 (95% CI: 0.86-0.94) in the training set and an AUC of 0.88 (95% CI: 0.81-0.94) in the validation set.

Conclusions: LVGLS, LAAS, IS, and MVO are independent predictors of LVAR in STEMI patients following PCI. The constructed nomogram has a strong predictive ability to provide assistance for management and early intervention of LVAR.

基于心脏磁共振的急性st段抬高型心肌梗死经皮冠状动脉介入治疗后左室不良重构风险预测模型:一项多中心前瞻性研究。
目的:建立基于心脏磁共振(CMR)参数的急性st段抬高型心肌梗死(STEMI)经皮冠状动脉介入治疗(PCI)患者左室不良重构(LVAR)风险预测模型。方法:前瞻性纳入2018年1月至2021年12月在8个医疗中心接受初级PCI治疗的329例急性STEMI患者。采用CVI42软件分析pci术后7±2天和6个月的CMR参数。LVAR的定义是6个月时左心室舒张末期容积较基线增加>20%或>15%。患者按7∶3的比例随机分为训练组(n=230)和验证组(n=99)。在训练集中,使用LASSO回归选择潜在的预测因子,然后使用单变量和多变量逻辑回归构建nomogram。采用受试者工作特征(ROC)曲线、曲线下面积(AUC)、校准曲线和决策曲线分析来评估模型的性能。结果:LVAR患者100例(30.40%),主要心血管不良事件发生率高于无LVAR患者(58.00% vs 16.16%, PCI: 0.61-0.95, P=0.015)和左心房活动负荷(LAAS;OR=0.78, 95% CI: 0.67-0.92, P=0.003)是LVAR的保护因素,而梗死面积(IS;OR=1.05, 95% CI: 1.01-1.10, P=0.017)和微血管阻塞(MVO;OR=1.26, 95% CI: 1.01-1.59, P=0.048)是LVAR的危险因素。nomogram在训练集中的AUC为0.90 (95% CI: 0.86-0.94),在验证集中的AUC为0.88 (95% CI: 0.81-0.94)。结论:LVGLS、LAAS、IS和MVO是STEMI患者PCI术后LVAR的独立预测因子。所构建的nomogram具有较强的预测能力,可为LVAR的管理和早期干预提供帮助。
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来源期刊
南方医科大学学报杂志
南方医科大学学报杂志 Medicine-Medicine (all)
CiteScore
1.50
自引率
0.00%
发文量
208
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