Publications by authors named "A Kleyer"
Purpose Of Review: Psoriatic arthritis (PsA) is a complex heterogeneous inflammatory disease that affects about one-third of patients with psoriasis. PsA leads to significant physical impairment and reduced quality of life. Therefore, early diagnosis and intervention are critical for improving long-term outcomes.
View Article and Find Full Text PDFObjectives: Although patients with immune-mediated inflammatory diseases (IMID) are thought to be more susceptible to viral infections, it is unclear whether their presentation differs between patients with IMID and healthy controls. This study aimed to investigate the symptom pattern of common viral infections in patients with IMID and compare it with controls without IMIDs.
Design: A cross-sectional study conducted between 1 February and 30 April 2020, using a questionnaire.
Objective: Baricitinib is an oral, reversible and selective inhibitor of Janus kinase (JAK)1 and JAK2 that is approved as monotherapy or in combination with methotrexate for the treatment of adults with moderate-to-severe active rheumatoid arthritis (RA) who have responded inadequately to disease-modifying antirheumatic drugs. Evidence supporting the approved monotherapy indication is growing in real-world settings that reflect routine clinical practice.
Methods: Results of separate analyses of real-world data from the observational prospective RA-BE-REAL, Erlangen Baricitinib cohort, the BSRBR-RA, and Swiss Clinical Quality Management in Rheumatic Diseases (SCQM) registries, and the retrospective ORBIT-RA and SUSTAIN long-term chart reviews were reported, documenting baseline data and outcomes for a total of 932 patients with active RA receiving baricitinib as monotherapy.
Article Synopsis
- bDMARDs are effective for treating Rheumatoid Arthritis (RA), but about 30% of patients don't respond, highlighting the need to predict treatment outcomes.
- The study used machine learning on clinical data from 154 RA patients to forecast initial and sustained responses to treatment after 6 and 12 months, comparing several models including XGBoost and AdaBoost.
- XGBoost showed the highest accuracy for initial response prediction, while AdaBoost excelled in forecasting sustained response; higher Disease Activity Scores indicated poorer chances of responding to treatment.
Article Synopsis
- The study aimed to create an automated system using convolutional neural networks (CNNs) to assess bone erosions, osteitis, and synovitis in hand MRIs of patients with inflammatory arthritis.
- The CNNs were trained and validated using MRI images from patients with rheumatoid and psoriatic arthritis, and their performance was compared to expert rheumatologists through metrics like receiver operating characteristic curve (AUC) and balanced accuracy.
- The results showed that the CNNs performed well, achieving high accuracy in detecting conditions related to arthritis, which could lead to quicker and more standardized assessments in clinical settings.