ST段抬高型急性心肌梗死急性期的肺部超声检查:1年预后和风险预测的改进。

IF 5 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Journal of the American Heart Association Pub Date : 2024-11-05 Epub Date: 2024-10-29 DOI:10.1161/JAHA.124.035688
José Carreras-Mora, María Vidal-Burdeus, Clara Rodríguez-González, Clara Simón-Ramón, Laura Rodríguez-Sotelo, Alessandro Sionis, Teresa Giralt-Borrell, María José Martínez-Membrive, Andrea Izquierdo-Marquisá, Núria Farré, Miguel Cainzos-Achirica, Helena Tizón-Marcos, Joan García-Picart, Laia Milà-Pascual, Beatriz Vaquerizo-Montilla, Mercedes Rivas-Lasarte, Núria Ribas-Barquet
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引用次数: 0

摘要

背景:肺部超声(LUS)已成为 ST 段抬高型心肌梗死入院患者急性期的有用工具。然而,其长期意义仍不确定,风险评分也未将肺部超声检查结果作为预测指标。本研究旨在评估 LUS 的 1 年预后价值及其增强现有风险评分的能力:这是一项多中心前瞻性队列研究,涉及 373 名 ST 段抬高型心肌梗死患者。LUS 在血管造影术后 24 小时内进行。LUS 结果以分类变量(湿肺/干肺)和连续变量(LUS 评分)进行评估。主要终点包括以下主要不良心血管事件:1年内全因死亡或因心力衰竭、急性冠状动脉综合征或中风住院。我们还评估了 LUS 是否能提高 GRACE(全球急性冠状动脉事件登记)评分的预测价值。在中位随访 368 天期间,51 例(13.7%)患者发生了重大不良心血管事件。经过多变量分析,LUS评分是一个独立的预测因子(每增加一条B线,危险比[HR]为1.06[95% CI, 1.01-1.10];P=0.009),而在ST段抬高型心肌梗死Killip I患者中,分类评分是一个独立的预测因子(HR为3.12[95% CI, 1.34-7.31];P=0.009)。将 LUS 纳入 GRACE 后,净重新分类指数为 31.6%,曲线下面积显著增加;单独 GRACE 得分为 0.705,而 GRACE+LUS 得分为 0.791(P=0.002):结论:在急性期检测 LUS 上的 B 线可预测 ST 段抬高型心肌梗死患者 1 年后的主要不良心血管事件,并提高 GRACE 评分的预测价值。注册:URL:https://www.clinicaltrials.gov;唯一标识符:NCT04526535:NCT04526535。
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Lung Ultrasound in the Acute Phase of ST-Segment-Elevation Acute Myocardial Infarction: 1-Year Prognosis and Improvement in Risk Prediction.

Background: Lung ultrasound (LUS) has emerged as a useful tool in the acute phase of patients admitted for ST-segment-elevation myocardial infarction. However, its long-term significance remains uncertain, and risk scores do not include LUS findings as a predictor. This study aims to assess the 1-year prognostic value of LUS and its ability to enhance existing risk scores.

Methods and results: This is a multicenter prospective cohort study involving 373 patients with ST-segment-elevation myocardial infarction. LUS was performed during the first 24 hours after angiography. LUS results were assessed both as a categorical (wet/dry lung) and continuous variable (LUS score). The primary end point comprised the following major adverse cardiovascular events: all-cause mortality or hospitalization for heart failure, acute coronary syndrome, or stroke within 1 year. We also evaluated whether LUS could enhance the predictive value of the GRACE (Global Registry of Acute Coronary Events) score. Major adverse cardiovascular events occurred in 51 (13.7%) patients over a median follow-up of 368 days. After multivariate analysis, the LUS score was an independent predictor (hazard ratio [HR], 1.06 [95% CI, 1.01-1.10]; P=0.009] for each additional B-line), whereas the categorical classification was an independent predictor in patients with ST-segment-elevation myocardial infarction Killip I (HR, 3.12 [95% CI, 1.34-7.31]; P=0.009). Incorporating LUS into GRACE resulted in a net reclassification index of 31.6% and a significant increase in the area under the curve; GRACE alone scored 0.705 compared with GRACE+LUS 0.791 (P=0.002).

Conclusions: Detecting B-lines on LUS at the acute phase predicts major adverse cardiovascular events at 1 year in patients with ST-segment-elevation myocardial infarction and enhances the predictive value of the GRACE score. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04526535.

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来源期刊
Journal of the American Heart Association
Journal of the American Heart Association CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
9.40
自引率
1.90%
发文量
1749
审稿时长
12 weeks
期刊介绍: As an Open Access journal, JAHA - Journal of the American Heart Association is rapidly and freely available, accelerating the translation of strong science into effective practice. JAHA is an authoritative, peer-reviewed Open Access journal focusing on cardiovascular and cerebrovascular disease. JAHA provides a global forum for basic and clinical research and timely reviews on cardiovascular disease and stroke. As an Open Access journal, its content is free on publication to read, download, and share, accelerating the translation of strong science into effective practice.
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