Primary care providers often encounter different types of pigmentary disorders such as vitiligo. This article arms the provider with the most common vitiligo differential diagnoses, with key findings and tips to identify specific hypopigmentary diseases. Readers will be better-prepared to provide safe and effective care and recommend referrals to appropriate specialties.
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| http://dx.doi.org/10.1097/01.NPR.0000794516.47158.e1 | DOI Listing |
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Circulating memory T cells and TCF1 T cells aid in diagnosis and monitor disease activity in vitiligo.
J Pharm Anal
November 2024
Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Vitiligo is an immune memory skin disease. T-cell factor 1 (TCF1) is essential for maintaining the memory T-cell pool. There is an urgent need to investigate the characteristics of peripheral memory T-cell profile and TCF1 T-cell frequencies in patients with vitiligo.
View Article and Find Full Text PDFPsychometric Properties and Meaningful Change Thresholds of the Vitiligo Area Scoring Index.
JAMA Dermatol
October 2024
Department of Dermatology, Multicultural Dermatology Center, Henry Ford Health, Detroit, Michigan.
Importance: Defining meaningful improvement using the Total Vitiligo Area Scoring Index (T-VASI) and the Facial VASI (F-VASI) aids interpretation of findings from clinical trials evaluating vitiligo treatments; however, clear and clinically meaningful thresholds have not yet been established.
Objective: To assess concept validity and measurement performance of the T-VASI and F-VASI in patients with nonsegmental vitiligo and to identify meaningful change thresholds.
Design, Settings, And Participants: This mixed-methods study consisted of a secondary analysis of a phase 2 multicenter double-blind dose-ranging randomized clinical trial and embedded qualitative interviews conducted at 35 sites in Canada, France, Japan, and the US.
Insights into the gut microbiome of vitiligo patients from India.
BMC Microbiol
October 2024
Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, India.
Background: Vitiligo is an autoimmune disease characterized by loss of pigmentation in the skin. It affects 0.4 to 2% of the global population, but the factors that trigger autoimmunity remain elusive.
View Article and Find Full Text PDFAI fusion of multisource data identifies key features of vitiligo.
Sci Rep
October 2024
Department of Dermatology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China.
Vitiligo is a skin disorder that is associated with a decreased risk of skin cancer, but it can lead to increased susceptibility to sunburn, psychological distress, and disruptions in daily life, consists of two primary subtypes: segmental and nonsegmental vitiligo, each with distinct underlying mechanisms. However, the reliable identification of diagnostic markers and the ability to differentiate between these subtypes have remained elusive challenges. This study aims to pioneer predictive algorithms for vitiligo diagnosis, harnessing the capabilities of AI (Artificial Intelligence) to amalgamate multisource data and uncover essential features for distinguishing vitiligo subtypes.
View Article and Find Full Text PDFRapid identification of primary atopic disorders (PAD) by a clinical landmark-guided, upfront use of genomic sequencing.
Allergol Select
October 2024
Center for Child and Adolescent Health, Helios Hospital Krefeld, Academic Hospital of RWTH Aachen, Krefeld.
Article Synopsis
- Primary atopic disorders (PAD) are rare genetic conditions caused by specific gene variants that affect skin and immune function, making diagnosis challenging among common allergic disease cases.
- Identifying PAD requires recognizing clinical red flags like family history and unusual infections, as conventional lab tests are inadequate for definitive diagnosis.
- Whole-genome sequencing (WGS) enhances diagnostic efficiency and accuracy, but requires careful interpretation and collaboration among specialists to effectively manage PAD cases.
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