文献
J-GLOBAL ID:202202255727664705
整理番号:22A0775755
COVID19疾患は血流媒介拡張により測定される内皮機能不全を独立に予測する【JST・京大機械翻訳】
COVID 19 disease independently predicted endothelial dysfunction measured by flow-mediated dilatation
著者 (6件):
Erguel Elif
(Department of Cardiology, Faculty of Medicine, Recep Tayyip Erdogan University, Rize, Turkey)
,
Yilmaz Ahmet Seyda
(Department of Cardiology, Faculty of Medicine, Recep Tayyip Erdogan University, Rize, Turkey)
,
OEguetveren Muhammet Muersel
(Department of Cardiology, Faculty of Medicine, Recep Tayyip Erdogan University, Rize, Turkey)
,
Emlek Nadir
(Department of Cardiology, Faculty of Medicine, Recep Tayyip Erdogan University, Rize, Turkey)
,
Kostakoglu Ugur
(Department of Infectious Disease, Faculty of Medicine, Recep Tayyip Erdogan University, Rize, Turkey)
,
Cetin Mustafa
(Department of Cardiology, Faculty of Medicine, Recep Tayyip Erdogan University, Rize, Turkey)
資料名:
International Journal of Cardiovascular Imaging
(International Journal of Cardiovascular Imaging)
巻:
38
号:
1
ページ:
25-32
発行年:
2022年
JST資料番号:
W4455A
ISSN:
1573-0743
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)