Results 191 to 200 of about 1,064,012 (336)

Global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis burden, 1990–2021

open access: yesArthritis Care &Research, Accepted Article.
Objective This study examined the global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis (OA) burden from 1990 to 2021. Methods Age‐standardized years lived with disability rate for site‐specific OA across 204 countries/territories were obtained from the Global Burden of Diseases Study (GBD) 2021.
Haowei Chen   +14 more
wiley   +1 more source

Improvements in Health‐Related Quality of Life with Treat‐to‐Target Urate‐Lowering Therapy in Gout: A Post‐hoc Analysis of a Randomized Multicenter Trial

open access: yesArthritis Care &Research, Accepted Article.
Background While treat‐to‐target urate‐lowering therapy (ULT) is endorsed as best practice in gout management, limited data exist on its impact on health‐related quality of life (HRQoL). We assessed the impact of treat‐to‐target ULT on HRQoL among participants receiving protocolized gout care, identifying factors associated with HRQoL and HRQoL change.
Austin Barry   +16 more
wiley   +1 more source

Heterogeneity of Rheumatoid Arthritis‐Associated Interstitial Lung Disease by Longitudinal Forced Vital Capacity Trajectory and Associations with Disease Outcomes

open access: yesArthritis Care &Research, Accepted Article.
Objective We aimed to identify unique disease trajectories within rheumatoid arthritis‐associated interstitial lung disease (RA‐ILD) based on longitudinal forced vital capacity (FVC) values and their associated clinical outcomes. Methods We performed a cohort study of RA‐ILD within the Veterans Health Administration from 1999‐2021. RA‐ILD patients were
Bryant R. England   +9 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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