Variable clinical features and delayed diagnosis in six Chinese patients with anti-interferon-gamma autoantibodies: a retrospective analysis in a university hospital in China

中国某大学附属医院6例抗干扰素-γ自身抗体患者的临床表现各异且诊断延迟:一项回顾性分析

阅读:3

Abstract

BACKGROUND: Anti-interferon (IFN)-gamma (γ) autoantibody positivity (AIGA) is a rare cause of adult-onset immunodeficiency, leading to severe disseminated opportunistic infections with varying outcomes. Due to its rarity, the diagnosis of AIGA is often missed or delayed. METHODS: We used the hospital information system of the First Affiliated Hospital of Wenzhou Medical University to retrospectively analyze the data of patients with AIGA between January 2018 and March 2024. Clinical, laboratory, and outcome data were collected and analyzed. RESULTS: Six patients with AIGA were included in this study. A retrospective review of the clinical characteristics and laboratory results showed that all patients had recurrent opportunistic infections, and five patients had hypergammaglobulinemia before receiving the diagnosis of AIGA. All six patients presented with pneumonia and recurrent cough; two patients presented with recurrent skin abscesses, two presented with recurrent penile ulcers, and two presented with severe bone destruction. Of these, five patients were infected with Talaromyces marneffei (T. marneffei). After being diagnosed with AIGA, all six patients received routine anti-infection therapy. As the disease progressed, all patients presented with recurrent infections. Notably, five patients exhibited elevated serum immunoglobulin G (IgG) (median 25.06 g/L; interquartile range, 17.73-38.22) during a previous admission. One succumbed to respiratory failure at follow-up, while five survived. CONCLUSION: The diagnosis of AIGA is often delayed and should be considered as a differential diagnosis in patients with recurrent opportunistic infections and hypergammaglobulinemia.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。