This website uses cookies. By continuing to browse the site you are agreeing to our use of cookies.
Further information

COVIPEDIA
Ruan Q, Yang K, Wang W, Jiang L, Song J
Objective: To identify the characteristics including clinical features and pulmonary computed tomography (CT) features of heart failure and novel coronavirus pneumonia(COVID-19). Methods: This study was a retrospective study. A total of 7 patients with Heart failure and 12 patients with COVID-19 in the Second Xiangya Hospital of Central South University between December 1, 2019 and February 15, 2020 were enrolled. The baseline clinical and imaging features of the two groups were statistically analyzed. Results: There was no significant difference in age and sex between the two groups, but the incidence of epidemiological contact history, fever or respiratory symptoms in the COVID-19 group was significantly higher than that in the heart failure group (12/12 vs. 2/7, P=0.001; 12/12 vs. 4/7, P<0.001). While the proportion of cardiovascular diseases and impaired cardiac function was significantly less than that of the heart failure group(2/12 vs.7/7, P<0.001; 0/12 vs.7/7, P<0.001). For imaging features, both groups had ground-glass opacity and thickening of interlobular septum, but the ratio of central and gradient distribution was higher in patients with heart failure than that in patients with COVID-19 (4/7 vs. 1/12, P=0.04). In heart failure group, the ratio of the expansion of small pulmonary veins was also higher (3/7 vs. 0, P=0.013), and the lung lesions can be significantly improved after effective anti-heart failure treatment. Besides, there are more disease with rounded morphology in COVID-19 (9/12 vs. 2/7, P=0.048) . Conclusions: More patients with COVID-19 have epidemiological history and fever or respiratory symptoms. There are significant differences in chest CT features, such as enlargement of pulmonary veins, lesions distribution and morphology between heart failure and COVID-19.
04/03/2020
32125452
Intensive care medicine (IF: 17.679 / Quartile: 1)
WOS Cites: 1339
SemanticScholar Cites: 2208
SemanticScholar Citation Velocity: 874
SemanticScholar Influential Citation Count: 123
Only annotations in title abstract:
YES

Data Sources

IMIB-Arrixaca

Address

Biomedical Informatics & Bioinformatics Platform
Institute for Bio-health Research of Murcia (IMIB-Arrixaca)
Carretera Buenavista s/n, 30120
El Palmar, Murcia, Spain

Phones

+34 968885229
+34 968885239
+34 968885249