Results 161 to 170 of about 737,146 (331)
Objective A leading cause of death among patients with scleroderma (SSc), interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M. Padilla +13 more
wiley +1 more source
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 to 2021.
Bryant R. England +9 more
wiley +1 more source
Approximation and learning by greedy algorithms [PDF]
Andrew R. Barron +3 more
openalex +1 more source
Long‐Term Opioids in Gout: A Matched Cohort Study From the Veterans Health Administration
Objective Though used frequently to treat flare, risk of long‐term 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 long‐term opioids over time.
Lindsay N. Helget +7 more
wiley +1 more source
Comparison of algorithms for multivariate rational approximation [PDF]
Jackson N. Henry
openalex +1 more source
Objective We assessed whether circulating adipokines are associated with incident fractures in patients with rheumatoid arthritis (RA). Methods Three adipokines (adiponectin, leptin, and fibroblast growth factor [FGF]‐21) were measured using banked enrollment serum from participants in a longitudinal RA cohort.
Joshua F. Baker +9 more
wiley +1 more source
Properties of the stochastic approximation EM algorithm with mini-batch sampling
Estelle Kuhn +2 more
openalex +2 more sources

