The Ohio State University College of Medicine, Columbus, OH, USA.
Texas A&M School of Medicine, Bryan, TX, USA.
Arch Dermatol Res. 2024 Nov 1;316(10):736. doi: 10.1007/s00403-024-03481-4.
Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a severe cutaneous adverse drug eruption characterized by rash, fever, lymphadenopathy, hematologic abnormalities, and organ dysfunction. Identifying causative agents and monitoring disease course in DRESS syndrome is crucial to prevent end-organ damage. The temporal relationship between causative medications including vancomycin and laboratory abnormalities in DRESS has not been studied, limiting the utility of laboratory data in monitoring disease course. Our study aims to investigate associations between medication class and peak serum laboratory values using simple linear regression (absolute eosinophils, creatinine, alanine aminotransferase [ALT] and aspartate aminotransferase [AST]). We found a significant difference between timing of peak AST values among vancomycin-triggered DRESS compared to other trigger groups. These findings draw attention to the increased role of AST as a diagnostic and monitoring tool in DRESS.
药物反应伴嗜酸性粒细胞增多和全身症状(DRESS)综合征是一种严重的药物性皮肤不良反应,其特征为皮疹、发热、淋巴结病、血液学异常和器官功能障碍。确定 DRESS 综合征中的致病药物并监测疾病进程对于预防终末器官损伤至关重要。包括万古霉素在内的致病药物与 DRESS 中的实验室异常之间的时间关系尚未得到研究,这限制了实验室数据在监测疾病进程中的应用。我们的研究旨在使用简单线性回归(绝对嗜酸性粒细胞、肌酐、丙氨酸氨基转移酶[ALT]和天冬氨酸氨基转移酶[AST])来研究药物类别与血清实验室峰值值之间的关联。我们发现,与其他触发组相比,万古霉素引发的 DRESS 中峰值 AST 值的时间存在显著差异。这些发现引起了人们对 AST 作为 DRESS 诊断和监测工具的作用的重视。