Introduction: Significant progress has been made in the diagnosis and management of axial spondyloarthritis (AxSpA) over recent decades. A greater understanding of the immunopathogenesis of the disease has paved the way for the development of targeted treatments. Their efficacy has been demonstrated in randomized controlled trials, meta-analyses and one head-to-head study of biologic DMARDs. Treatment decisions in AxSpA are currently influenced by patient choice, co-morbidity, clinician familiarity and cost.
Areas Covered: We review the clinical trials that underpin the evidence base for treatments in AxSpA. We also cover the meta-analyses and head-to-head data that seek to support clinicians in personalizing treatment decisions. Further, we discuss the recent international guidelines that provide clinicians with treatment pathways and guidance.
Expert Opinion: We conclude that treatment decisions in managing both radiographic and non-radiographic AxSpA should be based on shared decision-making with patients, the clinical effectiveness of drug class, co-morbidity and cost. At present, we have limited head-to-head data to prioritize one drug class over another for first-line treatment but can recommend tumor necrosis factor (TNF), interleukin 17 (IL17) and JAK inhibition as being comparable in terms of clinical, structural and patient-reported outcome measures. Further real-world data may guide treatment decision-making in individual patients.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/14656566.2024.2363489 | DOI Listing |
J Med Internet Res
January 2025
Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China.
Background: Acute kidney injury (AKI) is a common complication in hospitalized older patients, associated with increased morbidity, mortality, and health care costs. Major adverse kidney events within 30 days (MAKE30), a composite of death, new renal replacement therapy, or persistent renal dysfunction, has been recommended as a patient-centered endpoint for clinical trials involving AKI.
Objective: This study aimed to develop and validate a machine learning-based model to predict MAKE30 in hospitalized older patients with AKI.
J Neurosurg
January 2025
1Department of Neurosurgery, Baylor College of Medicine, Houston, Texas.
Objective: Deep brain stimulation (DBS) is an effective neurosurgical option for patients with treatment-resistant obsessive-compulsive disorder (OCD). Despite being more costly than neuroablative procedures of comparable efficacy, DBS has gained popularity over the years for its reversibility and adjustability. Although the cost-effectiveness of DBS has been investigated extensively in movement disorders, few economic analyses of DBS for psychiatric disorders exist.
View Article and Find Full Text PDFJ Forensic Odontostomatol
December 2024
Faculdade de Medicina Dentária da Universidade do Porto.
The activity of a dentist reveals itself in numerous aspects, and its regulation is determined by the Deontological Code of the Dental Association, which contains a set of rules that dentists are obliged to follow in the exercise of their profession. The regulation of this activity goes beyond following these precepts because, in the legal relationship that is established whenever an agreement is made with a patient to carry out the treatment deemed appropriate, a series of duties and obligations begin for each party, translated into a reciprocal contract, in which the non-compliance of one of them may result in a legal claim. The objective of this study was to research most court decisions delivered in this century, in Portugal, regarding the activity of dentists when faced with patient claims and to outline a framework that better allows us to understand the regulation of this activity within the scope of the contracts established with them.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
Emory University School of Medicine, Atlanta, GA.
Purpose: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various cancers. Single-drug ICI therapy (immuno-oncology [IO] monotherapy) that targets PD-L1 is the standard of care in patients with advanced non-small cell lung cancer (NSCLC) with PD-L1 expression ≥50%. We sought to find out if a machine learning (ML) algorithm can perform better as a predictive biomarker than PD-L1 alone.
View Article and Find Full Text PDFPLoS One
January 2025
School of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China.
A classification prediction model is established based on a nonlinear method-Gradient Boosting Decision Tree (GBDT) to investigate the factors contributing to a perpetrator's escape behavior in hit-and-run crashes. Given the U.S.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!