文献

J-GLOBAL ID：202202216384391666   整理番号：22A0453359

共存糖尿病とCOVID-19の入院患者の血糖レベルと予後の関連【JST・京大機械翻訳】

Association of blood glucose level and prognosis of inpatients with coexistent diabetes and COVID-19

著者 (51件)： Duan Weiwei (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Duan Weiwei (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Duan Weiwei (Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China) ,  Duan Weiwei (Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, China) ,  Li Liangyu (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Li Liangyu (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Li Xuesong (Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing, China) ,  Zhu Mengyan (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Zhu Mengyan (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Wu Lingxiang (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Wu Lingxiang (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Wu Wei (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Wu Wei (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Li Kening (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Li Kening (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Liang Yuan (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Liang Yuan (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Ding Rong (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Ding Rong (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  You Wenhua (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  You Wenhua (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Wang Ziyu (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Wang Ziyu (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Huang Bin (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Huang Bin (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Wu Min (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Wu Min (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Zhang Tingting (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Zhang Tingting (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Li Jie (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Li Jie (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Li Yan (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Li Yan (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Shao Jiaofang (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Shao Jiaofang (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Lin Changsong (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Lin Changsong (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Li Pengping (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Li Pengping (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Wang Qianghu (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Wang Qianghu (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Wang Qianghu (Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China) ,  Wang Qianghu (Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, China) ,  Wang Shukui (Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China) ,  Xia Xinyi (COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, China) ,  Xia Xinyi (Joint Expert Group for COVID-19, Department of Laboratory Medicine & Blood Transfusion, Wuhan Huoshenshan Hospital, Wuhan, Hubei, China) ,  Liu Yu (Department of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China) ,  Lyu Sali (Research Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China) ,  Lyu Sali (Department of Bioinformatics, Nanjing Medical University, Nanjing, China) ,  Lyu Sali (Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China) ,  Lyu Sali (Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, China)
資料名： Endocrine  (Endocrine)
巻： 75  号： 1  ページ： 1-9  発行年： 2022年 
JST資料番号： W4314A  ISSN： 1559-0100  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)

抄録/ポイント： 2型糖尿病(T2D)はコロナウイルス疾患(COVID-19)のリスクを増加させる。本研究は,入院と予後の7日後に,COVID-19患者のグルコースコントロールとT2Dとの関連を調査する。中国におけるT2Dを有する合計252人の感染入院患者を含んだ。よく制御された血糖は,平均(FBG_A),最大(FBG_M)または第1回(FBG_1)FBGレベルの指標を用いて,最初の7日間,3.9~7.8mmol/Lの範囲で安定な空腹時血糖(FBG)レベルとして定義した。一次エンドポイントは集中治療室または死亡への入院であった。十分に制御されたグループと比較して,十分に制御されたグルコースレベル群のハザード比(HR)は,FBG_Mで4.96(P=0.021),FBG_Aで5.55(P=0.014)であった。最初の7日間でよく制御された血糖値は,糖尿病のCOVID-19入院患者の予後を改善することができた。Copyright The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Translated from English into Japanese by JST.【JST・京大機械翻訳】

シソーラス用語： *血糖 ,  *糖尿病 ,  *予後 ,  ICU【医療】 ,  2型糖尿病 ,  ヘキソース ,  アルドース
準シソーラス用語： コロナウイルス ,  空腹時血糖 ,  *血糖値 ,  エンドポイント ,  ハザード比 ,  患者予後 ,  グルコース濃度 , 【Automatic Indexing@JST】

著者キーワード (4件)： COVID-19 ,  2型糖尿病 ,  グルコース制御 ,  予後分析

分類 (1件)： 代謝異常・栄養性疾患一般  (GD05010J)

物質索引 (1件)： グルコース

タイトルに関連する用語 (5件)： 共存 ,  糖尿病 ,  入院患者 ,  血糖レベル ,  予後