Advancements and challenges in the management of chronic inducible urticaria
Abstract
Chronic inducible urticaria (CIndU) is a group of diseases characterized by recurrent wheals and/or angioedema induced by specific triggers. Research into its underlying mechanisms remains underdeveloped, historically lagging behind that of chronic spontaneous urticaria (CSU). The profound heterogeneity across CIndU subtypes presents a central challenge, translating into limited and variable efficacy of conventional therapies, including second-generation H1-antihistamines and omalizumab, highlighting the inadequacy of a uniform management strategy. Encouragingly, the clinical development of novel targeted agents, notably anti-KIT biologics and Bruton's tyrosine kinase (BTK) inhibitors, now offers new promise. Concurrently, the refinement of disease-specific assessment tools and the exploration of biomarkers are facilitating a more personalized approach. This review summarizes recent advances and persistent challenges in CIndU management, advocating for a concerted effort to deepen mechanistic understanding, validate predictive biomarkers, and integrate patient stratification into future clinical trials, thereby paving the way for precision medicine in this field.
Read the paper
Related studies
- Artificial Intelligence in Medicine: Cross-Sectional Study Among Medical Students on Application, Education, and Ethical Aspects
- Information quality of videos related to esophageal cancer on tiktok, kwai, and bilibili: a cross-sectional study
- The quality and reliability of short videos about hypertension on TikTok: a cross-sectional study
- Quality and reliability evaluation of pancreatic cancer-related video content on social short video platforms: a cross-sectional study
- Quality and reliability of pediatric pneumonia related short videos on mainstream platforms: cross-sectional study
- Association between metabolic score for insulin resistance (METS-IR) and hypertension: a cross-sectional study based on NHANES 2007–2018
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.