Results 181 to 190 of about 3,983,464 (288)

Prevalence of Systemic Lupus Erythematosus in Australia, 2010–2022: A Population‐Based Study Using Linked National Administrative Health Data

open access: yesArthritis Care &Research, EarlyView.
Objective Systemic lupus erythematosus (SLE) is a heterogenous inflammatory condition with widely varying global prevalence estimates. The frequency of SLE in the general population of Australia has been reported to be notably lower than contemporary estimates in countries such as the United States or United Kingdom, at 19 to 39 per 100,000 as opposed ...
Lucinda Roper   +7 more
wiley   +1 more source

The INGV data registry as a curated metadata infrastructure for Earth Science data stewardship. [PDF]

open access: yesSci Data
Locati M   +6 more
europepmc   +1 more source

Developing and Evaluating a Laboratory‐Based Frailty Index for the Prediction of Long‐Term Health Outcomes in Systemic Lupus Erythematosus

open access: yesArthritis Care &Research, EarlyView.
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical FI. Methods We used data from a single‐center prospective cohort of adult patients with SLE whose baseline visit ...
Grace Burns   +2 more
wiley   +1 more source

Additive Manufacturing in Orthopaedic Trauma: Current Evidence and Applications. [PDF]

open access: yesMedicina (Kaunas)
Stavropoulos NA   +4 more
europepmc   +1 more source

Integrating Patient‐Reported Quality Measures in Systemic Lupus Erythematosus: Development of the American College of Rheumatology Implementation Guide

open access: yesArthritis Care &Research, EarlyView.
Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcome measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semistructured interviews ...
Catherine Nasrallah   +13 more
wiley   +1 more source

Machine Learning-Based Pattern Recognition of Risk Factors for Low Back Pain among Adolescent Cricket Players in Dhaka City. [PDF]

open access: yesPLOS Digit Health
Ria MA   +9 more
europepmc   +1 more source

Assessing the Sensitivity and the Clinical Impact of the 2023 American College of Rheumatology/EULAR Classification Criteria in Obstetric Antiphospholid Syndrome: Findings From a Multicenter Italian Cohort With a Long‐Term Follow‐Up

open access: yesArthritis Care &Research, EarlyView.
Objective The aim of this study was to evaluate the sensitivity of the 2023 American College of Rheumatology (ACR)/EULAR classification criteria for antiphospholipid syndrome (APS) in a real‐world cohort of women diagnosed with primary obstetric APS (oAPS) and to assess their ability to identify patients at risk of future pregnancy complications ...
Francesca Ruffilli   +10 more
wiley   +1 more source

Triangular Index Ratio as An Alternative Method to the Alpha Angle for Defining the Presence of Cam Morphology: A Prospective Cohort Study

open access: yesArthritis Care &Research, Accepted Article.
Objective Cam morphology, a significant risk factor for hip osteoarthritis, is commonly quantified by the alpha angle (AA). This study aims to explore the potential of the triangular index ratio (TIR) to quantify cam morphology on anteroposterior radiographs by assessing the association between TIR‐defined cam morphology and the development of ...
Jinchi Tang   +7 more
wiley   +1 more source

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