AIMC Topic: Tumor Necrosis Factor Inhibitors

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Identifying risk factors of anti-TNF induced skin lesions and other adverse events in paediatric patients with inflammatory bowel disease.

Journal of pediatric gastroenterology and nutrition Dec 10, 2023
OBJECTIVES: While higher infliximab (IFX) trough concentrations (TCs) are associated with better outcomes in patients with inflammatory bowel disease (IBD), they could pose a risk for adverse events (AEs), including IFX-induced skin lesions. Therefor...
Humans Inflammatory Bowel Diseases Female Risk Factors Child Colitis, Ulcerative Infliximab Crohn Disease Gastrointestinal Agents Tumor Necrosis Factor Inhibitors Remission Induction Skin Diseases
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Effectiveness of strategies to suppress antibodies to infliximab in pediatric inflammatory bowel disease.

Journal of pediatric gastroenterology and nutrition Dec 5, 2023
OBJECTIVES: Antibodies to infliximab (ATIs) are associated with loss of response in children with inflammatory bowel disease (IBD). We aimed to describe the effectiveness of strategies for treatment modification following ATI development in pediatric...
Humans Inflammatory Bowel Diseases Retrospective Studies Child Antibodies Infliximab Gastrointestinal Agents Tumor Necrosis Factor Inhibitors
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Machine learning to predict early TNF inhibitor users in patients with ankylosing spondylitis.

Scientific reports Nov 20, 2020
We aim to generate an artificial neural network (ANN) model to predict early TNF inhibitor users in patients with ankylosing spondylitis. The baseline demographic and laboratory data of patients who visited Samsung Medical Center rheumatology clinic ...
Humans Forecasting Retrospective Studies Republic of Korea Female Young Adult Adult Male Middle Aged Deep Learning Time Factors ROC Curve Treatment Outcome Feasibility Studies Tumor Necrosis Factor Inhibitors Spondylitis, Ankylosing
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Deep learning conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study.

World journal of gastroenterology Oct 14, 2021
BACKGROUND: Traditional methods of developing predictive models in inflammatory bowel diseases (IBD) rely on using statistical regression approaches to deriving clinical scores such as the Crohn's disease (CD) activity index. However, traditional app...
Humans Algorithms Retrospective Studies Female Adult Male Deep Learning Cohort Studies Infliximab Crohn Disease Tumor Necrosis Factor Inhibitors Adalimumab
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