Results 191 to 200 of about 4,967,645 (304)

Real‐World Effectiveness and Safety of Secukinumab in Giant Cell Arteritis: An Italian Multicenter Cohort Study

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in patients with giant cell arteritis (GCA). Methods This multicenter retrospective study included patients with GCA who received secukinumab at 14 Italian centers with at least six months of follow‐up.
Luca Iorio   +28 more
wiley   +1 more source

Rheumatoid Arthritis, Frailty, and Outcomes of Surgical Hospitalizations: A National Population‐Based Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective Hospitalization, particularly for surgery, represents a period of heightened stress. We evaluated how frailty attenuates the association of rheumatoid arthritis (RA) with negative health outcomes after elective noncardiac surgery. Methods We conducted a cross‐sectional study using the National Inpatient Sample (2018 to 2020), including adults
Ali Yazdanyar   +5 more
wiley   +1 more source

Heart Disease in Childhood

open access: yesAmerican Journal of Public Health and the Nations Health, 1938
openaire   +3 more sources

HEART FAILURE IN VALVULAR HEART DISEASE

open access: yesMedicine, 1971
R C, Schlant, D O, Nutter
openaire   +2 more sources

Real‐World Safety of Concomitant Colchicine and Statin Therapy

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to evaluate the risk of clinically meaningful muscle‐ and liver‐related outcomes associated with concomitant colchicine–statin therapy in a real‐world setting, and to determine whether concomitant therapy increases the incidence of toxicity compared with either agent alone.
Roni Meidan   +5 more
wiley   +1 more source

The relation between cerebral arteriovenous malformations and heart diseases in the pediatric population: a systematic review and meta-analysis. [PDF]

open access: yesChilds Nerv Syst
Ponchio V   +8 more
europepmc   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High Body Mass Index

open access: yesArthritis Care &Research, EarlyView.
Objective High body mass index (BMI ≥ 27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck   +10 more
wiley   +1 more source

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