Polymerase chain reaction for detection of mucosal cytomegalovirus infection in patients with acute ulcerative colitis

聚合酶链式反应检测急性溃疡性结肠炎患者黏膜巨细胞病毒感染

阅读:1

Abstract

BACKGROUND: Cytomegalovirus (CMV) infection is associated with acute exacerbations of ulcerative colitis (UC) but its clinical relevance remains uncertain. The primary aim of this study was to assess the prevalence of CMV infection in UC patients using viral polymerase chain reaction (PCR) analysis of mucosal biopsy samples. Secondary aims were to establish whether the disease was due to a primary infection or reactivation and to note associated risk factors and clinical outcomes. METHODS: Since 2011, a policy of biopsy for CMV infection was adopted for severe UC patients in a large tertiary center. A retrospective review was undertaken to identify patients with mucosal biopsies for exacerbations of UC from October 2011 through January 2014. RESULTS: Sixty biopsies for CMV PCR were obtained from 52 patients, 15 of whom were positive. In these patients, 9/9 tested were seropositive for anti-CMV IgG, while none were seropositive for anti-CMV IgM. Steroid refractory disease was a significant predictor of CMV positivity; however, there was no difference between the CMV-positive and -negative groups in rates of immunosuppression, or clinical and endoscopic severity. Six patients in the CMV-positive group received infliximab; all received concurrent antiviral therapy and did not require surgery. CONCLUSIONS: PCR of mucosal biopsies detected CMV infection due to viral reactivation in almost a third of patients with deteriorating or acute severe UC. Steroid refractory disease was significantly associated with CMV positivity, but no significant relationship was demonstrated with either disease severity or immunosuppression in our cohort. Treatment with anti-tumor necrosis factor agents was administered safely in combination with antiviral drugs.

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。