Results 221 to 230 of about 184,118 (312)

Inter-rater reliability of medication error classification in a voluntary patient safety incident reporting system HaiPro in Finland

open access: green, 2018
Anna-Riia Holmström   +5 more
openalex   +2 more sources

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks   +10 more
wiley   +1 more source

Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin   +2 more
wiley   +1 more source

Misuse, Abuse and Medication Errors' Adverse Events Associated with Opioids-A Systematic Review. [PDF]

open access: yesPharmaceuticals (Basel)
Gustafsson M   +5 more
europepmc   +1 more source

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai   +28 more
wiley   +1 more source

A machine learning-based clinical predictive tool to identify patients at high risk of medication errors. [PDF]

open access: yesSci Rep
Abdo A   +6 more
europepmc   +1 more source

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