Results 81 to 90 of about 1,536,262 (213)

The forgotten mothers of extremely preterm babies : A qualitative study [PDF]

, 2019
© 2019 The Authors. Journal of Clinical Nursing Published by John Wiley & Sons LtdAims and objectives: To explore the experiences of mothers of extremely prematurebabies during their Neonatal Intensive Care Unit stay and transition home.
Elliott, Doug, Fowler, Cathrine, Green, Janet, Petty, Julia, Whiting, Lisa   +4 more
core   +2 more sources

COVID-19 related acute necrotizing encephalopathy and acute myocarditis in an adult female: a novel case report of brain injury and myocarditis

BMC Neurology
Background Acute necrotizing encephalopathy (ANE) and myocarditis are both acute, life-threatening conditions that can be triggered by COVID-19. We report a case of sequential ANE and myocarditis following a COVID-19 infection.
Chang Xu, Yuyi Sha, Jianneng Pan, Tao Pan, Xiaoyang Zhou, Hua Wang, Zhaojun Xu, Bixin Chen   +7 more
doaj   +1 more source

Microbial Air Contamination in an Intensive Care Unit [PDF]

, 2015
Unit layout affects every aspect of intensive care services, including patient safety. A previous study has shown that patients admitted to beds adjacent to the sink and to the door of a large bayroom had the highest number of positive blood cultures and
Chang, C. (Chih-Yi), Tseng, L. (Liang), Yang, L. (Lung-Shih)   +2 more
core   +2 more sources

UCH-L1 Inhibitor Alleviates Nerve Damage Caused by Moyamoya Disease

Applied Bionics and Biomechanics
Background. Moyamoya disease (MMD) leads to nerve injury. Exosomes are touted as bio-shuttles for the delivery of distinct biomolecules inside the cells. Recently, UCH-L1 was shown to play a vital role in nerve injury.
Minghua Xu, Xiaomin Zhao, Jiang Zhao, Zhisheng Tan, Chengshi Zhang, Yun Huang, Huiping Zhong, Meifeng Guo, Chen Zhang, Ping Ye, Wentao Zheng   +10 more
doaj   +1 more source

The Employment Retention and Advancement Project: Results from the Substance Abuse Case Management Program in New York City [PDF]

, 2009
Participants in an intensive care management program for public assistance recipients with substance abuse problems were slightly more likely to enroll in treatment than participants in less intensive services.
Cynthia Miller, Dan Bloom, Gilda Azurdia, John Martinez   +3 more
core  

The practice of glycaemic control in intensive care units: A multicentre survey of nursing and medical professionals. [PDF]

, 2019
AIMS AND OBJECTIVES: To determine the views of nurses and physicians working in intensive care units (ICU) about the aims of glycaemic control and use of their protocols.
Aragon D., Bland D. K., Core Standards Working Party of the Joint Professional Standards Committee of the Faculty of Intensive Care Medicine (FICM) and the Intensive Care Society (ICS), Draper D. A., Fehrenbach S. N., Mid Trent Critical Care Network, Preiser J. C.   +6 more
core   +2 more sources

Concentration inequalities for Poisson point processes with application to adaptive intensity estimation [PDF]

arXiv, 2016
We derive concentration inequalities for maxima of empirical processes associated with Poisson point processes. The proofs are based on a careful application of Ledoux's entropy method. We demonstrate the utility of the obtained concentration inequalities by application to adaptive intensity estimation.
arxiv  

Intensive care [PDF]

Nephrology Dialysis Transplantation, 2010
Ricci Z, Cruz DN, Ronco C
openaire   +2 more sources

Telemonitoring in chronic ventilatory failure: a new model of survellaince, a pilot study

Monaldi Archives for Chest Disease, 2015
Background and Aim. The efficiency of tele-monitoring or tele-assistance in patients with severe chronic ventilatory failure in home mechanical ventilation (HMV) is still being investigated.
S. Bertini, M. Picariello, M. Gorini, T. Renda, A. Augustynen, G. Villella, G. Misuri, N.M. Maluccio, R. Ginanni, D. Tozzi, A. Corrado   +10 more
doaj   +1 more source

Sepsis Prediction and Vital Signs Ranking in Intensive Care Unit Patients [PDF]

arXiv, 2018
We study multiple rule-based and machine learning (ML) models for sepsis detection. We report the first neural network detection and prediction results on three categories of sepsis. We have used the retrospective Medical Information Mart for Intensive Care (MIMIC)-III dataset, restricted to intensive care unit (ICU) patients.
arxiv