Prediction of left ventricular thrombus after myocardial infarction: a cardiac magnetic resonance-based prospective registry.

IF 5.9 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL European Journal of Internal Medicine Pub Date : 2024-10-08 DOI:10.1016/j.ejim.2024.09.015
Carlos Bertolin-Boronat, Víctor Marcos-Garcés, Hector Merenciano-González, Nerea Perez, Candelas Pérez Del Villar, Jose Gavara, Maria P Lopez-Lereu, Jose V Monmeneu, Cristian Herrera Flores, Blanca Domenech-Ximenos, Francisco Jesús López-Fornás, Cesar Rios-Navarro, Elena de Dios, David Moratal, Jose T Ortiz-Pérez, Antoni Bayes-Genis, Jose F Rodríguez-Palomares, Julio Nuñez, Pedro L Sánchez, Juan Sanchis, Vicente Bodi
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Abstract

Background: Left ventricular thrombus (LVTh) is a severe complication after ST-segment elevation myocardial infarction (STEMI).

Objectives: We aim to predict LVTh occurrence by cardiac magnetic resonance (CMR) using clinical, echocardiographic, and electrocardiographic (ECG) variables readily available at admission.

Methods: We included 590 reperfused STEMI patients who underwent early (1-week) and/or late (6-month) CMR in our institution. Baseline clinical, echocardiographic (left ventricular ejection fraction -LVEF-) and ECG data (summatory of ST-segment elevation -sum-STE- and Q-wave and residual ST-elevation >1 mm -Q-STE-) during admission were registered. Multivariate binary logistic regression models and receiver operating characteristic curves were computed for LVTh prediction.

Results: LVTh was detected by CMR in 43 (7.3 %) patients and was predicted by previous chronic coronary syndrome (CCS, HR 4.74 [1.82-12.35], p = 0.001), anterior STEMI (HR 10.93 [2.47-48.31], p = 0.002), LVEF (HR 0.96 [0.93-0.99] per %, p = 0.008), maximum sum-STE (HR 1.04 [1.01-1.07] per mm, p = 0.04), and Q-STE (HR 1.31 [1.08-1.6] per lead, p = 0.008). High-risk patients with both major (anterior STEMI and Q-STE in ≥1 leads) and 1-3 minor (CCS, maximum sum-STE >10 mm, LVEF <50%) factors showed the highest LVTh risk (19.6 % within 6 months). The model showed excellent discrimination ability (area under the curve=0.85 [0.81-0.9], p < 0.001). Simplified 4-variable (excluding sum-STE) and 3-variable (also excluding CCS) risk scores showed similar discrimination ability and were externally validated.

Conclusions: LVTh within 6 months post-STEMI can be predicted using pre-discharge clinical (anterior infarction and CCS), echocardiographic (LVEF), and ECG (sum-STE and Q-STE) data. Our results can help select patients who should undergo CMR after STEMI for LVTh detection.

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心肌梗塞后左心室血栓的预测:基于心脏磁共振的前瞻性登记。
背景:左心室血栓(LVTh左心室血栓(LVTh)是ST段抬高型心肌梗死(STEMI)后的一种严重并发症:我们旨在利用入院时可获得的临床、超声心动图和心电图(ECG)变量,通过心脏磁共振(CMR)预测左心室血栓的发生:我们纳入了在本院接受早期(1 周)和/或晚期(6 个月)CMR 检查的 590 名再灌注 STEMI 患者。登记了入院时的临床、超声心动图(左室射血分数-LVEF-)和心电图(ST段抬高总和-sum-STE-和Q波及残余ST段抬高>1 mm-Q-STE-)基线数据。计算了预测 LVTh 的多变量二元逻辑回归模型和接收者操作特征曲线:结果:43 例(7.3%)患者通过 CMR 检测到 LVTh,预测 LVTh 的因素包括既往慢性冠状动脉综合征(CCS,HR 4.74 [1.82-12.35],P = 0.001)、前 STEMI(HR 10.93 [2.47-48.31],P = 0.002)、LVEF(每% HR 0.96 [0.93-0.99],P = 0.008)、最大总STE(每毫米 HR 1.04 [1.01-1.07],P = 0.04)和Q-STE(每导联 HR 1.31 [1.08-1.6],P = 0.008)。同时患有重度(前部 STEMI 和≥1 个导联的 Q-STE)和 1-3 次轻度(CCS、最大总和 STEMI >10 mm、LVEF 结论:LVTh 在术后 6 个月内大于 10 mm)的高危患者:利用出院前的临床(前部梗死和 CCS)、超声心动图(LVEF)和心电图(STE 总和和 Q-STE)数据,可以预测 STEMI 后 6 个月内的 LVTh。我们的研究结果有助于选择在 STEMI 后应接受 CMR 以检测 LVTh 的患者。
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来源期刊
European Journal of Internal Medicine
European Journal of Internal Medicine 医学-医学:内科
CiteScore
9.60
自引率
6.20%
发文量
364
审稿时长
20 days
期刊介绍: The European Journal of Internal Medicine serves as the official journal of the European Federation of Internal Medicine and is the primary scientific reference for European academic and non-academic internists. It is dedicated to advancing science and practice in internal medicine across Europe. The journal publishes original articles, editorials, reviews, internal medicine flashcards, and other relevant information in the field. Both translational medicine and clinical studies are emphasized. EJIM aspires to be a leading platform for excellent clinical studies, with a focus on enhancing the quality of healthcare in European hospitals.
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