Results 191 to 200 of about 741,288 (282)

EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate assessment of the level of consciousness and potential to recover in patients with severe brain injury underpins crucial decisions in the intensive care unit but remains a major challenge for the clinical team. The neurological wake‐up test is a widely used assessment tool. However, many patients' behavioral responses during
Charlotte Maschke, Loretta Norton, Catherine Duclos, Miriam Han, Kira Dolhan, Geoffrey Laforge, Allison Frantz, Xiaoyu Wang, Hassan Al‐Hayawi, Tianyu Zhang, Raphaël Lavoie, Adrian M. Owen, Stefanie Blain‐Moraes   +12 more
wiley   +1 more source

Avoidable Hospitalizations in Persons With Rheumatoid Arthritis: A Population‐Based Study Using Administrative Data

Arthritis Care &Research, EarlyView.
Objective We estimated incidence rates of avoidable hospitalizations by persons with rheumatoid arthritis (RA) relative to the general population. Methods We identified individuals meeting a validated case definition for RA based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM) and ICD‐10‐CA codes in years ...
Dani G. Contreras, Claire E. H. Barber, J. Antonio Aviña‐Zubieta, Hude Quan, Seungwon Lee, James A. King, Cheryl Barnabe   +6 more
wiley   +1 more source

Moderators and mediators of pain and function outcomes in a new service delivery model for management of knee osteoarthritis in primary care (PARTNER): Secondary exploratory analysis of a randomized controlled trial

Arthritis Care &Research, Accepted Article.
Objective Explore moderators and mediators influenced changes in pain and function in people with knee osteoarthritis (OA) receiving a new model of primary care service delivery (PARTNER), at 12 months (ACTRN12617001595303). Methods Secondary analyses of a cluster randomized controlled trial comparing PARTNER to usual general practitioner‐delivered ...
Abdolhay Farivar, Jocelyn L Bowden, Kim L Bennell, Andrew M Briggs, Stephen J Bunker, Rana S Hinman, Thorlene Egerton, Simon D French, Marie Pirotta, Karen Schuck, Venkatesha Venkatesha, Nicholas A Zwar, David J Hunter   +12 more
wiley   +1 more source

Unveiling new insights into migraine risk stratification using machine learning models of adjustable risk factors. [PDF]

J Headache Pain
Liu YC, Liu YH, Pan HF, Wang W.
europepmc   +1 more source

Whole‐Blood RNA Sequencing Profiling of Patients With Rheumatoid Arthritis Treated With Tofacitinib

ACR Open Rheumatology, EarlyView.
Objective Patients with rheumatoid arthritis (RA) often fail to respond to therapies, including JAK inhibitors (JAKi), and treatment allocation is made via a trial‐and‐error strategy. A comprehensive analysis of responses to JAKi, including tofacitinib, by RNA sequencing (RNAseq) would allow the discovery of transcriptomic markers with a two‐fold ...
Chiara Bellocchi, Ennio Giulio Favalli, Gabriella Maioli, Elena Agape, Marzia Rossato, Matteo Paini, Adriana Severino, Barbara Vigone, Martina Biggioggero, Elena Trombetta, Roberto Caporali, Lorenzo Beretta   +11 more
wiley   +1 more source

Composition operators: Hyperinvariant subspaces, quasi-normals and isometries

, 1999
Bruce Cload
openalex   +1 more source

Analysis Strategy for Identifying the <i>O</i>-Linked Glycan Profile and <i>O</i>-glycosylation Sites on Recombinant Human Follicle Stimulating Hormone-<i>C</i>-terminal Peptide (rhFSH-CTP). [PDF]

Molecules
Hu X, Xiang Y, Zhang X, Sun Y, Li Y, Wang L, Lv P, Long Z, Liang C, Li J.   +9 more
europepmc   +1 more source

Geometric properties of composition operators belonging to Schatten classes [PDF]

, 2001
Yongsheng Zhu
openalex   +1 more source

Performance characteristics and complications of an Inter-Changeable Operator Model for intubation in an Australian helicopter emergency medical service. [PDF]

Emerg Med Australas
Garner AA, Scognamiglio A, Lee A.
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source