Results 91 to 100 of about 281,919 (258)

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

Arthritis 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, Samuel D. Searle, Alexandra Legge   +2 more
wiley   +1 more source

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry

Arthritis Care &Research, EarlyView.
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni, Chloe Shields, Rohit Muralidhar, Shreya Bhatt, Alan Baer, Robert Fox, Sara S. McCoy, Anat Galor   +7 more
wiley   +1 more source

Perceived Impacts and Predictors of Cannabis Products Used by Patients with Rheumatologic Conditions in Alberta, Canada: A Multivariable Analysis of Cross‐Sectional Survey Data

Arthritis Care &Research, EarlyView.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang, Samuel A.J. Lowe, Frank Sun, Allyson Jones, Tarek Turk, Joanne Olson, Pauline Paul, Shelby Yamamoto, Linda Kolewaski, Elaine Yacyshyn, Cheryl A. Sadowski   +10 more
wiley   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Fall Recognition Based on Time-Level Decision Fusion Classification

Applied Sciences
We propose a vision-based fall detection algorithm using advanced deep learning models and fusion methods for smart safety management systems. By detecting falls through visual cues, it is possible to leverage existing surveillance cameras, thus ...
Juyoung Kim, Beomseong Kim, Heesung Lee
doaj   +1 more source

A Return to Normality: A Descriptive Qualitative Interview Study Exploring the Patient Experience of Gout Flare Resolution

Arthritis Care &Research, EarlyView.
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart, Anne Horne, Angelo Gaffo, Lisa K. Stamp, N. Lawrence Edwards, Nicola Dalbeth   +5 more
wiley   +1 more source

Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care?

Arthritis Care &Research, EarlyView.
Objective The objective is to describe and compare demographic, clinical, and serological characteristics of patients with systemic sclerosis (SSc) according to ethnic background. Methods Participants enrolled in the Canadian Scleroderma Research Group cohort who self‐identified to a single ethnicity group were included.
Danick Goulet, Camille Guertin, Maggie Larché, Isabelle Ferdinand, Marie Hudson, May Y. Choi, Mohammed Osman, Janet Pope, Carter Thorne, Murray Baron, Sasha Bernatsky, Sabrina Hoa   +11 more
wiley   +1 more source

Impact of Six‐Month Monitoring Compared to Three‐Month Monitoring of Laboratories During Methotrexate Therapy

Arthritis Care &Research, EarlyView.
Objective To evaluate whether extending the American College of Rheumatology–recommended monitoring interval for complete blood count and liver function tests in patients receiving methotrexate (MTX) affects timely detection of medication‐related toxicity.
Spencer Simko, Ray Zhang, Sohini Mukherjee, Puneet Bajaj, Bonnie L. Bermas   +4 more
wiley   +1 more source

State-of-the-art fall detection techniques with emphasis on floor-based systems—A review

Biomedical Engineering Advances
The Arthritis patients and aging population has challenged society to develop safer, independent living environments. Falls, associated injuries, and delays in fall treatment are major causes of morbidity and death in older adults.
Amrit Pal Kaur, Ejay Nsugbe, Amy Drahota, Matthew Oldfield, Iman Mohagheghian, Radu A. Sporea   +5 more
doaj   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

Arthritis Care &Research, Accepted Article.
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, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source