Predicting Reduced Left Ventricular Ejection Fraction in Patients With ST-Elevation Myocardial Infarction: Role of the Quick Forrester Classification

IF 1.4 Q2 MEDICINE, GENERAL & INTERNAL
Yosuke Matsumoto, Shoji Kawakami, Hidenobu Koga, Eigo Nawata, Yoshihiro Ota, Hikaru Sasamoto, Masato Takei, Chikako Tamura, Kenichi Kitahara, Tetsuhisa Yamada, Jun-Ichiro Nishi
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Abstract

Introduction

Cardiogenic shock, heart failure, and reduced left ventricular ejection fraction (LVEF) are major determinants of poor prognosis in patients with ST-elevation myocardial infarction (STEMI). Rapid identification of high-risk patients and subsequent provision of multidisciplinary care are critical. However, traditional risk scores mainly rely on infarct size, age, and hemodynamics, which may offer limited discriminatory ability at the time of hospital arrival. We developed a quick Forrester classification (QFC) using the respiratory rate (RR) and serum lactate levels upon hospital arrival and investigated its association with a reduced LVEF of patients with STEMI.

Methods

This retrospective cohort study included consecutive patients with STEMI from 2018 to 2023. Patients were divided into four QFC classes: Class-1 (RR < 20 per minute and lactate < 2.0 mmol/L), Class-2 (RR ≥ 20 per minute and lactate < 2.0 mmol/L), Class-3 (RR < 20 per minute and lactate ≥ 2.0 mmol/L), and Class-4 (RR ≥ 20 per minute and lactate ≥ 2.0 mmol/L). The primary endpoint was the LVEF < 45% measured by transthoracic echocardiography before discharge.

Results

Among 569 patients with STEMI (Class-1: 118; Class-2: 146; Class-3: 92; Class-4: 213), the QFC Class-4 demonstrated the highest proportions of reduced LVEF (26%) and mechanical circulatory support use (13%). In multivariable logistic analysis, Class-4 was independently associated with reduced LVEF compared with Class-1 (odds ratio 2.47).

Conclusion

The QFC, based solely on RR and lactate levels, was significantly associated with reduced LVEF in STEMI. This simple bedside tool may support rapid identification of high-risk patients on arrival and complement existing risk stratification strategies to facilitate timely multidisciplinary management. Clinical Trial Registration: Aso Iizuka Hospital/approval ID: 21068.

Abstract Image

预测st段抬高型心肌梗死患者左室射血分数降低:快速Forrester分类的作用
心源性休克、心力衰竭和左心室射血分数(LVEF)降低是st段抬高型心肌梗死(STEMI)患者预后不良的主要决定因素。快速识别高危患者和随后提供多学科护理至关重要。然而,传统的风险评分主要依赖于梗死面积、年龄和血流动力学,这可能在到达医院时提供有限的区分能力。我们开发了一种快速的福瑞斯特分类(QFC),使用到达医院时的呼吸频率(RR)和血清乳酸水平,并研究其与STEMI患者LVEF降低的关系。方法:本回顾性队列研究纳入2018年至2023年连续STEMI患者。结果:在569例STEMI患者中(1类:118例;2类:146例;3类:92例;4类:213例),QFC 4类患者LVEF降低比例最高(26%),机械循环支持使用比例最高(13%)。在多变量logistic分析中,与1级相比,4级与LVEF降低独立相关(优势比2.47)。结论:仅基于RR和乳酸水平的QFC与STEMI患者LVEF降低显著相关。这个简单的床边工具可以支持在到达时快速识别高风险患者,并补充现有的风险分层策略,以促进及时的多学科管理。临床试验注册:Aso Iizuka医院/批准号:21068。
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
Acute Medicine & Surgery
Acute Medicine & Surgery MEDICINE, GENERAL & INTERNAL-
自引率
12.50%
发文量
87
审稿时长
53 weeks
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