Evidence map›Paper›PMID 40804717›Full record

ArticleBMC cardiovascular disorders2025

Assessment of cardiac dysfunction in COVID-19 patients using layer-specific strain echocardiography in short-axis and long-axis views.

Mengjiao Zhang, Jianxiong Chen, Lingheng Wu, Guiyang Xi, Xinyi Li, Lin Jin, Zhaojun Li

Abstract read
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Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Mengjiao Zhang *Department of Ultrasound, Jiading Branch of Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 201803, China.
Jianxiong Chen *Department of Ultrasound, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Lingheng WuDepartment of Ultrasound, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Guiyang XiDepartment of Ultrasound, Shanghai General Hospital of Nanjing Medical University, Shanghai, 200080, China.
Xinyi LiSchool of Life Sciences, Hubei University, Wuhan, Hubei, 430061, China.
Lin JinDepartment of Ultrasound, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200052, China. jinlin205@163.com.
Zhaojun LiDepartment of Ultrasound, Jiading Branch of Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 201803, China. lzj_1975@sina.com.

Funding

National Natural Science Foundation of China 82472008Shanghai Health and Family Planning Commission Fund 202240235
6 · The paper itself

Abstract

objectivesCardiac dysfunction is commonly observed in COVID-19 patients, but its impact on different myocardial layers-endocardial, mid-myocardial, and epicardial remains insufficiently understood. This study aims to evaluate myocardial dysfunction in COVID-19 patients by assessing both the long-axis and short-axis function of the left ventricle (LV) using two-dimensional myocardial layer-specific strain imaging.

methodsA total of 197 COVID-19 patients were enrolled and categorized into three subgroups: mild, moderate, and severe. Cardiac structural and functional indices, along with biomarker levels, were collected to analyze their correlation with global longitudinal strain (GLS) and global circumferential strain (GCS).

resultsGLS and GCS were reduced in moderate and severe COVID-19 patients, including layer-specific GLS and GCS (both p < 0.05). E/A ratio, left ventricular ejection fraction (LVEF), and myoglobin were identified as independent factors influencing GLS (all p < 0.05). Age, LVEF, cardiac troponin I (cTnI), and myoglobin were independent factors influencing GCS (p < 0.05). Furthermore, B-type Natriuretic Peptide (BNP) and myoglobin were identified as independent predictors of both GLS in the whole wall (GLSww) and endocardial (GLSendo), with β values of -0.22, -0.21 and -0.39, -3.70, respectively (all p < 0.05). GLS, including endocardial, mid-myocardial, and epicardial myocardial layers, demonstrated superior diagnostic performance compared to GCS, with AUC values of 0.81, 0.83, and 0.84 vs. 0.61, 0.57, and 0.55, respectively (all p < 0.001).

conclusionThere are differences in myocardial injury caused by COVID-19 across different layers of the myocardium, both in the longitudinal and circumferential directions, with more pronounced damage observed in the inner myocardium. GLS demonstrated superior diagnostic performance compared to GCS in identifying myocardial dysfunction. Furthermore, myocardial dysfunction was correlated with blood pressure, myocardial structure, and biochemical markers.

Indexed as

COVID-19EchocardiographyVentricular Dysfunction, LeftVentricular Function, LeftAgedBiomarkersFemaleHumansMaleMiddle AgedPredictive Value of TestsSARS-CoV-2Severity of Illness IndexStroke VolumeBiomarkersCOVID-19EchocardiographyGlobal circumferential strainGlobal longitudinal strainMyocardial dysfunction

Identifiers

PMID40804717
PMCPMC12345019

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.