心电图变化作为重复经胸超声心动图新成像结果的预测因素。

IF 1.6 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Future cardiology Pub Date : 2023-08-01 Epub Date: 2023-09-18 DOI:10.2217/fca-2023-0045
Anis John Kadado, Abdullah Pervaiz, Kyle Gobeil, Saima Shikari, Petal Elder, Ayman Battisha, Ritika Walia, William Hiser, Tara Lagu, Quinn R Pack
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引用次数: 0

摘要

目的:确定心电图(EKG)检查结果是否是预测重复经胸超声心动图(TTE)变化的有用工具。方法:我们评估了住院期间接受TTE的患者及其心电图,以及研究结果是否不同。结果:229例再次经胸超声心动图检查的住院患者中,183例(80%)出现异常。每种轻微和严重的心电图异常都会导致1.8(1.2至2.6;p=0.002)和2.1(1.3至3.3;p结论:在既往有影像学结果的住院患者中,心电图不变预示着TTE不变。
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Electrocardiogram changes as predictors for new imaging findings in repeat transthoracic echocardiography.

Aim: To determine if electrocardiogram (EKG) findings may be a useful tool to predict changes in repeat transthoracic echocardiogram (TTE). Methods: We evaluated patients who underwent TTE during hospitalization and their EKGs, and whether findings differed between studies. Results: Of 229 hospitalized patients who underwent repeat TTE, 183 (80%) were abnormal. Each minor and major EKG abnormality resulted in a 1.8 (1.2 to 2.6; p = 0.002) and 2.1 (1.3 to 3.3; p < 0.001) increased odds of abnormal imaging on TTE, respectively. The negative likelihood ratio for an unchanged EKG to predict an unchanged TTE was 0.68 (95% CI = 0.62 to 0.73). Conclusion: Among hospitalized patients with prior imaging results, an unchanged EKG predicts an unchanged TTE.

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来源期刊
Future cardiology
Future cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
2.80
自引率
5.90%
发文量
87
期刊介绍: Research advances have contributed to improved outcomes across all specialties, but the rate of advancement in cardiology has been exceptional. Concurrently, the population of patients with cardiac conditions continues to grow and greater public awareness has increased patients" expectations of new drugs and devices. Future Cardiology (ISSN 1479-6678) reflects this new era of cardiology and highlights the new molecular approach to advancing cardiovascular therapy. Coverage will also reflect the major technological advances in bioengineering in cardiology in terms of advanced and robust devices, miniaturization, imaging, system modeling and information management issues.
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