Results 81 to 90 of about 36,753 (202)

Combining Three Peripheral Blood Biomarkers to Stratify Rheumatoid Arthritis–Associated Interstitial Lung Disease Risk

Arthritis Care &Research, EarlyView.
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase‐7 (MMP‐7), and serum anti–malondialdehyde‐acetaldehyde (anti‐MAA) antibody for rheumatoid arthritis (RA)–associated interstitial lung disease (ILD) risk stratification.
Kelsey Coziahr, Austin M. Wheeler, Brent A. Luedders, Michael Duryee, Halie Frideres, Katherine D. Wysham, Grant W. Cannon, Gary Kunkel, Dana P. Ascherman, Paul A. Monach, Gail S. Kerr, Andreas M. Reimold, Scott M. Matson, Joshua F. Baker, Geoffrey M. Thiele, Ted R. Mikuls, Bryant R. England   +16 more
wiley   +1 more source

Clinical Significance of Therapeutic Drug Level Monitoring for Mycophenolate in Patients With Extrarenal Systemic Lupus Erythematosus—A Systematic Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective Clinical response to mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug level monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with systemic lupus erythematosus (SLE ...
Zahraa Qamhieh, Dalia Sriwi, Callie Saric, Tripti Singh, Christie M. Bartels, Shivani Garg   +5 more
wiley   +1 more source

Flood risk modelling by the synergistic approach of machine learning and best-worst method in Indus Kohistan, Western Himalaya

Geomatics, Natural Hazards & Risk
Flood risk mapping is essential for effective mitigation and planning. In this study, we propose a novel synergistic approach for flood risk mapping in Indus Kohistan, Pakistan, by integrating machine learning (ML) models and the best-worst method (BWM).
Ashfaq Ahmad, Jiangang Chen, Xiaoqing Chen, Nitesh Khadka, Muhib Ullah Khan, Chenyuan Wang, Muhammad Tayyab   +6 more
doaj   +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

Groundwater potential zones demarcation in the hard rock province of South India: insights from remote sensing, GIS and AHP techniques

Scientific Reports
The research aims to assess the groundwater potential zones (GWPZs) in the Chinnalapatti firka hard rock region to aid in sustainable groundwater management.
K. Pragadeeshwaran, B. Gurugnanam, M. Bagyaraj, S. Bairavi, D. Karunanidhi, Berihu Abadi Berhe   +5 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis

Arthritis Care &Research, EarlyView.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang, Laurence Magder, Daniel Goldman, Judith A. James, Joel M. Guthridge, Carla Guthridge, Peter Izmirly, Jill P. Buyon, H. Michael Belmont, Richard A. Furie, Noa Schwartz, Chaim Putterman, Jennifer L. Barnas, Jennifer H. Anolik, Sarah French, Maria Dall'Era, Avi Z. Rosenberg, Jeffrey Hodgin, Dawit S. Demeke, the Accelerating Medicines Partnership Rheumatoid Arthritis and Systemic Lupus Erythematosus (RA/SLE) Network, Michelle Petri, Andrea Fava   +21 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

The Areas Under Curves (AUC) used in diabetes research: Update view [PDF]

Integrative Obesity and Diabetes, 2018
Cheng KC, Li Y, Cheng JT
openaire   +1 more source

Low‐Profile, High‐Gain GRIN RF Lenses via Multi‐Material Vat Photopolymerization

Advanced Functional Materials, EarlyView.
We investigate the opportunity of leveraging multi‐material vat photopolymerization printing to manufacture intricate lenses exhibiting permittivity gradients that can increase signal gain in transmitted radiofrequency signals in the X‐ and Ku‐bands. Lenses produced with more distinct low‐loss materials (up to 5) can deliver an 18 dB signal gain with a
Lawrence Romangsuriat, Alexander Peraire‐Bueno, A. John Hart, Randall M. Erb   +3 more
wiley   +1 more source