Zobrazeno 1 - 10
of 245 396
pro vyhledávání: '"Critical"'
Autor:
SUN Jianhua, LUO Hongbo, LI Zunzhu, LU Meishan, LIAN Hui, WANG Xiaoting, Critical Care Ultrasound Study Group
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 3, Pp 518-521 (2024)
The department of critical care medicine, the clinical base of critical care medicine, is the centralized management unit for the treatment of critical patients. Medicine and nursing are independent disciplines, but both can be fully utilized from di
Externí odkaz:
https://doaj.org/article/0e4259f4dfe34efdad71cb374a2365d2
Autor:
Hongmin Zhang, Ye Liu, Qing Zhang, Xiaoting Wang, Dawei Liu, Critical Care Ultrasound Study Group (CCUSG)
Publikováno v:
BMC Anesthesiology, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background To explore whether hepatic vein systolic filling fraction (SFF) is associated with central venous pressure (CVP) and right ventricular (RV) systolic function in critically ill patients. Methods Adult patients admitted to ICU with
Externí odkaz:
https://doaj.org/article/a751ee7c0eb7408b97b3d5b8552a1559
Autor:
Jianhua Sun, Yue Wang, Qing Zhang, Xin Li, Wei He, Yangong Chao, Xiaoting Wang, Dawei Liu, Critical Care Ultrasound Study Group (CCUSG), Peng Lyu
Publikováno v:
Chinese Medical Journal, Vol 135, Iss 8, Pp 977-979 (2022)
Externí odkaz:
https://doaj.org/article/009ec9a2238f4c439548c797684f1e05
Autor:
Hongmin Zhang, Wei Huang, Qing Zhang, Xiukai Chen, Xiaoting Wang, Dawei Liu, Critical Care Ultrasound Study Group
Publikováno v:
Annals of Intensive Care, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Introduction Right ventricle (RV) dilation in combination with elevated central venous pressure (CVP), which is a state of RV congestion, is seen as a sign of RV failure (RVF). On the other hand, RV systolic function is usually assessed by t
Externí odkaz:
https://doaj.org/article/4027351a926c4b209815bdcdeeb226ab
Autor:
Aaron F. Struck, Andres A. Rodriguez‐Ruiz, Gamaledin Osman, Emily J. Gilmore, Hiba A. Haider, Monica B. Dhakar, Matthew Schrettner, Jong W. Lee, Nicolas Gaspard, Lawrence J. Hirsch, M. Brandon Westover, Critical Care EEG Monitoring Research Consortium (CCERMRC)
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 6, Iss 7, Pp 1239-1247 (2019)
Abstract Objective To compare machine learning methods for predicting inpatient seizures risk and determine the feasibility of 1‐h screening EEG to identify low‐risk patients (
Externí odkaz:
https://doaj.org/article/9f3d6e4073d849fcb7957f53a235c2fa
Publikováno v:
Southern African Journal of Critical Care, Pp 52-52 (2022)
Externí odkaz:
https://doaj.org/article/04cc6e6a0dd24618bb6bf0349053bb17
Autor:
Ross, Jessica L., Sabbaghi, Arman, Zhuang, Run, Bertolini, Daniele, Study, the Alzheimer's Disease Cooperative, Initiative, Alzheimer's Disease Neuroimaging, Database, the Critical Path for Alzheimer's Disease, Disease, the European Prevention of Alzheimer's, Consortium, Consortium, the Pooled Resource Open-Access ALS Clinical Trials
Clinical trials are critical in advancing medical treatments but often suffer from immense time and financial burden. Advances in statistical methodologies and artificial intelligence (AI) present opportunities to address these inefficiencies. Here w
Externí odkaz:
http://arxiv.org/abs/2404.17576
Publikováno v:
Intensive Care Medicine Experimental, Vol 12, Iss 1, Pp 1-16 (2024)
Abstract Background Acute kidney injury (AKI) is a frequent complication of sepsis. While impaired renal venous reflux indicates renal congestion, the relationship between AKI outcomes and hemodynamic parameters remains debated. This study aimed to i
Externí odkaz:
https://doaj.org/article/d94bf54380be4efc82b0e8b816d15580
Autor:
Vanderbeek, Alyssa M., Vidovszky, Anna A., Ross, Jessica L., Sabbaghi, Arman, Walsh, Jonathan R., Fisher, Charles K., Disease, the Critical Path for Alzheimer's, Initiative, the Alzheimer's Disease Neuroimaging, Disease, the European Prevention of Alzheimer's, Consortium, Study, the Alzheimer's Disease Cooperative
A crucial task for a randomized controlled trial (RCT) is to specify a statistical method that can yield an efficient estimator and powerful test for the treatment effect. A novel and effective strategy to obtain efficient and powerful treatment effe
Externí odkaz:
http://arxiv.org/abs/2309.14256