Zobrazeno 1 - 10
of 649
pro vyhledávání: '"Yue NIU"'
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background To compare the diagnostic performance of the Node-RADS scoring system and lymph node (LN) size in preoperative LN assessment for rectal cancer (RC), and to investigate whether the selection of size as the primary criterion whereas
Externí odkaz:
https://doaj.org/article/2dba54dc2efb45b68221be81ae3c3733
Autor:
Danni Wang, Yue Niu, Dinghua Chen, Chaofan Li, Fei Liu, Zhe Feng, Xueying Cao, Li Zhang, Guangyan Cai, Xiangmei Chen, Ping Li
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Nonmalignant pleural effusion (NMPE) is common and remains a definite health care problem. Pleural effusion was supposed to be a risk factor for acute kidney injury (AKI). Incidence of AKI in NMPE patients and whether there is cor
Externí odkaz:
https://doaj.org/article/8110657c4ac04919a1975afe63529565
Autor:
Shuo Jiang, Xunliang Tong, Kexin Yu, Peng Yin, Su Shi, Xia Meng, Renjie Chen, Maigeng Zhou, Haidong Kan, Yue Niu, Yanming Li
Publikováno v:
EBioMedicine, Vol 107, Iss , Pp 105270- (2024)
Summary: Background: Short-term exposure to particulate matter air pollution has been associated with the exacerbations of COPD, but its association with COPD mortality was not fully elucidated. We aimed to assess the association between short-term p
Externí odkaz:
https://doaj.org/article/8f020044794f4e5d8d66fde444917d2c
Autor:
Li Zhang, Ping Li, Xiangmei Chen, Xuefeng Sun, Li Tang, Yan Mei, Guangyan Cai, Yue Niu, Danni Wang, Yangyang Ma, Qingtao Zhang
Publikováno v:
BMJ Open, Vol 14, Iss 7 (2024)
Objective Non-malignant pleural effusions (NMPE) are common in hospitalised patients. Data on NMPE inpatients are scarce and the factors influencing the prognosis are unknown.Design This was a retrospective cohort study.Setting and participants We co
Externí odkaz:
https://doaj.org/article/220536e25aa9482bba3a9a3e71bf7df0
Autor:
Sai Pan, Yue Niu, Shuwei Duan, Delong Zhao, Qian Wang, Zheyi Dong, Guangyan Cai, Xiangmei Chen
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundPopulation aging is a pivotal trend observed globally, and the exposure to heavy metals can exacerbate the aging process and lead to kidney damage. However, the impact of combined heavy metal exposure on renal function among older individua
Externí odkaz:
https://doaj.org/article/59a4ca8af4f0440e91e7ae833527a866
Autor:
Tiancheng Shan, Zhonghui Li, Xin Zhang, Haishan Jia, Xiaoran Wang, Enyuan Wang, Yue Niu, Dong Chen, Weichen Sun, Dongming Wang
Publikováno v:
International Journal of Mining Science and Technology, Vol 34, Iss 2, Pp 227-243 (2024)
Effective monitoring of the structural health of combined coal-rock under complex geological conditions by pressure stimulated currents (PSCs) has great potential for the understanding of dynamic disasters in underground engineering. To reveal the ef
Externí odkaz:
https://doaj.org/article/dfcc245a46f54423bca3e71defc8917e
Publikováno v:
ACS Omega, Vol 9, Iss 10, Pp 11339-11346 (2024)
Externí odkaz:
https://doaj.org/article/a79c5b10d5a5427a93300d2a78bac428
Autor:
Chaofan Li, Yue Niu, Dinghua Chen, Zhe Feng, Fei Liu, Yong Wang, Xueying Cao, Jie Wu, Jiabao Liu, Xuefeng Sun, Li Zhang, Guangyan Cai, Ping Li, Xiangmei Chen
Publikováno v:
Renal Failure, Vol 46, Iss 2 (2024)
We aimed to test whether red blood cell distribution width (RDW) to monocyte percentage ratio (RMR) was associated with the acute-phase prognosis of coronavirus disease 2019 (COVID-19) in chronic kidney disease (CKD) patients. Prospective enrollment
Externí odkaz:
https://doaj.org/article/614fe82f3eeb4922a9d0aad85aee8791
Machine learning model for cardiovascular disease prediction in patients with chronic kidney disease
Autor:
He Zhu, Shen Qiao, Delong Zhao, Keyun Wang, Bin Wang, Yue Niu, Shunlai Shang, Zheyi Dong, Weiguang Zhang, Ying Zheng, Xiangmei Chen
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
IntroductionCardiovascular disease (CVD) is the leading cause of death in patients with chronic kidney disease (CKD). This study aimed to develop CVD risk prediction models using machine learning to support clinical decision making and improve patien
Externí odkaz:
https://doaj.org/article/7fa6fdc6579041ec944d919a35b476db
Autor:
Yixuan Jiang, Xinlei Zhu, Yang Shen, Yu He, Hao Fan, Xueyi Xu, Lu Zhou, Yixiang Zhu, Xiaowei Xue, Qingli Zhang, Xihao Du, Lina Zhang, Yang Zhang, Cong Liu, Yue Niu, Jing Cai, Haidong Kan, Renjie Chen
Publikováno v:
Environment International, Vol 187, Iss , Pp 108714- (2024)
Background: Ultrafine particle (UFP) has been linked with higher risks of cardiovascular diseases; however, the biological mechanisms remain to be fully elucidated. Objectives: This study aims to investigate the cardiovascular responses to short-term
Externí odkaz:
https://doaj.org/article/5476555124cb4dedb10fcb58111dce17