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Drug challenge testing: a critical step in the investigation of neuromuscular blocking agent hypersensitivity.
Br J Anaesth
January 2025
Department of Theatres and Anaesthesia, St James' University Hospital, Leeds, UK.
Neuromuscular blocking agents are a common cause of perioperative hypersensitivity. The sensitivity and specificity of skin tests and in vitro tests in this context have not been determined conclusively, which poses a barrier to accurate diagnosis. Use of challenge testing represents a promising development in this field and a key tool in confirming tolerance to an alternate neuromuscular blocking agent for use in future anaesthesia.
View Article and Find Full Text PDFAxial spondyloarthritis.
Lancet
January 2025
Rheumazentrum Ruhrgebiet Herne, Ruhr-University Bochum, Germany.
Axial spondyloarthritis manifests as a chronic inflammatory disease primarily affecting the sacroiliac joints and spine. Although chronic back pain and spinal stiffness are typical initial symptoms, peripheral (ie, enthesitis, arthritis, and dactylitis) and extra-musculoskeletal (ie, uveitis, inflammatory bowel disease, and psoriasis) manifestations are also common. Timely and accurate diagnosis is challenging and relies on identifying a clinical pattern with a combination of clinical, laboratory (HLA-B27 positivity), and imaging findings (eg, structural damage on pelvic radiographs and bone marrow oedema on MRI of the sacroiliac joints).
View Article and Find Full Text PDFSpecial Issue: Human Movement Monitoring Using Wearable Sensor Technology.
Sensors (Basel)
January 2025
Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia.
The accurate and reliable measurement of human movement stands as a cornerstone in the evaluation of athletic performance, the management of fall risk, the prevention of injury, and the guidance of clinical rehabilitation [...
View Article and Find Full Text PDFTranscervical resection of myoma (TCRM): Part II.
Taiwan J Obstet Gynecol
January 2025
Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Medicine, Cheng-Hsin General Hospital, Taipei, Taiwan. Electronic address:
In the part I, we have already reported the rationale, efficacy, complication, and limitation of using transcervical resection of myoma (TCRM) in the management of women with symptomatic uterine fibroids, particularly for those belonging to the International Federation of Gynaecology & Obstetrics (FIGO) myoma classification system as FIGO types 0-2. The current review as part II, the discussion will focus on the techniques, tips and complication prevention or management when TCRM is applied in the management of women with symptomatic submucosal myoma. With better understanding for TCRM-related basic knowledge, such as rationale, efficacy, complication, technique review, tips and prevention or management of complications, plus the well-training and carefully performing TCRM through preceding accurate diagnosis, and good and careful preparation and intensive monitoring during operation and using effective strategy to preventing short-term and long-term complications, TCRM can become one of most powerful strategies in offering the less traumatic injury to the uterus, and an effective and safe surgical approach in dealing with women with symptomatic submucosal myoma.
View Article and Find Full Text PDFA lightweight generative model for interpretable subject-level prediction.
Med Image Anal
December 2024
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA; Department of Neuroscience and Biomedical Engineering, Aalto University, Finland; Department of Computer Science, Aalto University, Finland.
Recent years have seen a growing interest in methods for predicting an unknown variable of interest, such as a subject's diagnosis, from medical images depicting its anatomical-functional effects. Methods based on discriminative modeling excel at making accurate predictions, but are challenged in their ability to explain their decisions in anatomically meaningful terms. In this paper, we propose a simple technique for single-subject prediction that is inherently interpretable.
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