Results 221 to 230 of about 407,487 (268)
Metabolic Consequences of Rheumatoid Arthritis
Patients with rheumatoid arthritis (RA) may have metabolic disruption, which can contribute to adverse long‐term outcomes, for multiple reasons. Patients with RA appear to have a higher risk of sarcopenia, type 1 and type 2 diabetes mellitus, metabolic syndrome, and hypertension. Systemic inflammation in RA can cause a “lipid paradox,” with reduced low‐
Stevie Barry+2 more
wiley +1 more source
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
Objective The Plants for Joints intervention (PFJ), including a whole‐food plant‐based diet, exercise, and stress reduction, reduced signs and symptoms of rheumatoid arthritis (RA) or metabolic syndrome‐associated hip or knee osteoarthritis (MSOA) compared to usual care. This study examined outcomes two years later. Methods After two 16‐week randomized
Carlijn A. Wagenaar+10 more
wiley +1 more source
Ageism in Rheumatology: the Healthcare Professional's Perspective
Objective Ageism (age‐based stereotypes, prejudice, or discrimination) is prevalent and linked to prolonged disability and reduced lifespan in older adults. Little is known about ageism within rheumatology. This study explores the healthcare professional's (HCP) perception of the care of older adults and how ageist attitudes or perspectives may impact ...
Aaron P. Smith+4 more
wiley +1 more source
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
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