Results 151 to 160 of about 11,105,488 (338)

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

Serum uric acid levels in older adults: Associations with clinical outcomes and implications for reference intervals in those aged 70 years and over

open access: yesArthritis Care &Research, Accepted Article.
Objectives Reports have linked both high and low serum uric acid (SUA) levels to adverse health outcomes. This study aimed to establish a reference interval for SUA in older adults and assessed its association with clinically relevant outcomes in relatively healthy, community‐dwelling individuals aged 70 and older.
Amanda J Rickard   +15 more
wiley   +1 more source

Chronic Opioids in Gout: A Matched Cohort Study from the Veteran's Health Administration

open access: yesArthritis Care &Research, Accepted Article.
Objective Though used frequently to treat flare, risk of chronic opioid exposure in gout has not been well defined. In this study, we examined the hypothesis that people with gout are more likely than individuals without gout to be prescribed chronic opioids over time.
Lindsay N. Helget   +7 more
wiley   +1 more source

Transforming Maine’s Economy: Innovation and Entrepreneurship Policy

open access: yesMaine Policy Review, 2014
Catherine Searle Renault
doaj  

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

Home - About - Disclaimer - Privacy