Results 161 to 170 of about 991,191 (336)

Analysis of the Longitudinal Behavior of Serum Levels of Soluble Flt1 and Placental Growth Factor in Pregnant Patients With Systemic Lupus Erythematosus

open access: yesArthritis Care &Research, EarlyView.
Objective This study analyzed longitudinal trajectories of soluble Flt1 (sFlt1) levels, placenta growth factor (PlGF) levels, and sFlt1:PlGF ratios in a cohort of pregnant patients with systemic lupus erythematosus (SLE). Methods Blood samples were collected (14–18, 24–26, 30–32, 34–36, and 38–40 weeks), stored at −80°C, and evaluated for serum levels ...
Nilson R. de Jesús   +7 more
wiley   +1 more source

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

open access: yesArthritis 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   +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

open access: yesArthritis 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   +12 more
wiley   +1 more source

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

open access: yesInternational 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   +2 more
wiley   +1 more source

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