The current therapeutic algorithm for chronic spontaneous urticaria (CSU), endorsed by the international guideline, entails treatment escalation from second-generation H -antihistamines (sgAHs) to omalizumab and cyclosporine until complete response is achieved. Recently, several predictors of response to these treatment options have been described. Here, we discuss the most promising predictors of response and nonresponse to these treatments in CSU. A systematic search was performed by two independent researchers using the MEDLINE/PubMed database with specific keywords and 73 studies included in the review. Levels of evidence were categorized as strong (robust predictors), weak (emerging predictors) or no association, based on the outcome and number of studies available. High disease activity, high levels of C-reactive protein and D-dimer are robust predictors for a poor or no response to sgAHs. Poor or no response to omalizumab is robustly predicted by low serum levels of total IgE. A good response to cyclosporine is robustly predicted by a positive basophil histamine release assay, whereas low total IgE is an emerging predictor. The response to treatment with sgAHs, omalizumab and cyclosporine can be predicted by the use of markers that are readily available in routine clinical practice. Further studies are needed to confirm these predictors.
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http://dx.doi.org/10.1111/all.14757 | DOI Listing |
Biosens Bioelectron
January 2025
Department of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA; Institute for Sustainable Energy and Environment, Virginia Commonwealth University, Richmond, VA, 23284, USA. Electronic address:
Wearable devices designed for the somatosensory system aim to provide event-cue feedback electronics and therapeutic stimulation to the peripheral nervous system. This prompts a neurological response that is relayed back to the central nervous system. Unlike virtual reality tools, these devices precisely target peripheral mechanoreceptors by administering specific stimuli.
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
Centre for Advanced Optoelectronic Functional Materials Research and Key Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education, Northeast Normal University, 130024, Changchun, China. Electronic address:
The development of integrated multiple signal outputs within a single platform is highly significant for efficient and accurate on-site biomarker detection. Herein, colorimetric/electrochemical dual-mode microfluidic paper-based analytical devices (μPADs) were designed for portable, visual and accurate dopamine (DA) detection. The dual-mode μPADs, featuring folded structure, integrate a colorimetric layer and an electrochemical layer using wax printing and laser-induced graphene (LIG) pyrolysis techniques, allowing the vertical flow of analyte solution.
View Article and Find Full Text PDFVision Res
January 2025
Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Elevated intraocular pressure (IOP) is a significant risk factor for glaucoma, causing structural and functional damage to the eye. Increased IOP compromises the metabolic and structural integrity of retinal ganglion cell (RGC) axons, leading to progressive degeneration and influencing the ocular immune response. This study investigated early cellular and molecular changes in the retina and optic nerve (ON) following ocular hypertension (OHT).
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Crisis Text Line, New York, NY, United States.
We appreciate Reierson's thoughtful commentary on our 2019 paper, which described our experiences, ethical process, judgment calls, and lessons from a 2016-2017 data-sharing pilot between Crisis Text Line and academic researchers. The commentary raises important questions about the ethical conduct of health research in the digital age, particularly regarding informed consent, potential conflicts of interest, and the protection of vulnerable populations. Our article focused specifically on the noncommercial use of Crisis Text Line data for research purposes, so we restrict our reply to points relevant to such usage.
View Article and Find Full Text PDFJMIR Hum Factors
January 2025
Department of Value Improvement, St. Antonius Hospital, Nieuwegein, Netherlands.
Background: Patients with cerebrovascular accident (CVA) should be involved in setting their rehabilitation goals. A personalized prediction of CVA outcomes would allow care professionals to better inform patients and informal caregivers. Several accurate prediction models have been created, but acceptance and proper implementation of the models are prerequisites for model adoption.
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