Results 201 to 210 of about 3,367,709 (291)

Association of Elevated Platelets and C‐Reactive Protein With Severe Disease and Poor Survival in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Elevated C‐reactive protein (CRP) levels in systemic sclerosis (SSc) have been linked with severe disease and worse survival, but the role of platelet levels remains unclear. This study examined whether elevated platelet levels, CRP levels, or both are associated with disease severity, progression, and survival in SSc.
Brian S. Lee, Shufeng Li, Srijana Davuluri, Jennifer Lee, Lorinda Chung   +4 more
wiley   +1 more source

Computation of all eigenvalues of matrices used in restricted maximum likelihood estimation of variance components using sparse matrix techniques

Genetics Selection Evolution, 1996
Ducrocq V, Robert C
doaj   +1 more source

The Effects of Individualized Arousal on Recognition Memory of Words. [PDF]

Behav Sci (Basel)
Zhang W, Jia X.
europepmc   +1 more source

Employment Trajectories of Patients With Systemic Lupus Erythematosus and Factors Driving Transitions Between States

Arthritis Care &Research, EarlyView.
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo, Zahi Touma, Laura Whittall Garcia, Dafna D. Gladman, Behdin Nowrouzi‐Kia   +4 more
wiley   +1 more source

Alterations in cognitive function among reproductive-age women with polyendocrine metabolic ovarian syndrome: A systematic review and meta-analysis. [PDF]

J Neuroendocrinol
Rogers S, Milne B, Carpenter J.
europepmc   +1 more source

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

Arthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

Metabolic-Protective Strategies for Antipsychotic-Associated Weight Gain in Children and Adolescents: A Systematic Review. [PDF]

Cureus
Alhagawy AJ, Alhiqwi IJ, Majrabi HA, Salami AH, Aldawsari MS, Shok MA, Kariri AA, Muharraq AM, Juraybi RK, Alghamdi AM, Alshaiban AM.   +10 more
europepmc   +1 more source

Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns

Arthritis Care &Research, Accepted Article.
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen, Yasuo Nagafuchi, Kristina Lend, Seyam Alemyar, Herman Kasper Glas, Gerdur Gröndal, Bjorn Gudbjornsson, Espen A. Haavardsholm, Kim Hørslev Petersen, Jon Lampa, Merete Lund Hetland, Dan Nordström, Mike Nurmohamed, Mikkel Østergaard, Anna Rudin, Marte Schrumpf Heiberg, Tuulikki Sokka‐Isler, Till Uhlig, Josien Veris‐van Dieren, Ronald van Vollenhoven, Tom Huizinga, Marcel JT Reinders, Sytske Anne Bergstra, Erik van den Akker, Rachel Knevel   +24 more
wiley   +1 more source

AI Models for Predicting Acute Kidney Injury (AKI) and Post-AKI Mortality: Systematic Review and Meta-Analysis. [PDF]

J Med Internet Res
Xiao H, Liang J, Li G, Yang Y, Li T, Chen X, Ao Q, Wu Y, Song Q.   +8 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source