Suppr超能文献

宏基因组下一代测序辅助肾移植后感染的风险预测与分层:以COVID-19为例的病例研究

Metagenomic Next-Generation Sequencing-Assisted Risk Prediction and Stratification of Infections After Kidney Transplantation: A Case Study of COVID-19.

作者信息

Ye Xin, Li Chao, Zhou Zheng, Yang Jiangnan, Jiang Hao, Hu Linkun, Pan Hao, Wei Xuedong, Huang Yuhua, Lin Yuxin, Wang Liangliang

机构信息

Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, People's Republic of China.

Department of Medicine, Dinfectome Inc., Nanjing, Jiangsu, 210000, People's Republic of China.

出版信息

Infect Drug Resist. 2025 Sep 5;18:4763-4776. doi: 10.2147/IDR.S521111. eCollection 2025.

Abstract

BACKGROUND

During the COVID-19 pandemic, COVID-19 infection has severely damaged the transplanted kidney function and health of kidney transplant patients. This study aims to investigate the clinical characteristics, risk factors and predictors of severe COVID-19 in patients after kidney transplantation.

MATERIAL AND METHODS

The clinical data of patients with COVID-19 after kidney transplantation were collected from December 2022 to January 2023 at the First Affiliated Hospital of Soochow University. Logistic regression analysis was performed to identify risk factors for severe disease and to construct a nomogram model. Concurrently, metagenomic next-generation sequencing (mNGS) was employed to detect the sputum microbiome.

RESULTS

A total of 58 patients were enrolled and were categorized into the common group (n=35) and the severe group (n=23) based on infection severity. The common group comprised 23 males with a mean age of 45.60 ± 9.11 years, while the severe group included 16 males with a mean age of 48.22 ± 9.95 years. Multivariate logistic analysis revealed that days of fever before hospitalization, C-reactive protein (CRP) and interleukin-10 (IL-10) on admission were significantly independent risk factors for severity, with an area under the ROC curve at 0.906. Comparison of the sputum microbiome revealed that there were no significant differences in α and β diversity between the two groups. was significantly more abundant in the specimens from the severe group, while and were significantly more abundant in the common group.

CONCLUSION

The severity of COVID-19 in kidney transplant patients is associated with days of fever before hospitalization, and the levels of CRP and IL-10 at admission, which also alter the abundance of certain species in the sputum microbiome. Therefore, it is necessary to actively monitor the clinical indicators of kidney transplant patients admitted with COVID-19 to reduce the risk of progression to severe disease.

摘要

背景

在新冠疫情期间,新冠病毒感染严重损害了肾移植患者的移植肾功能和健康。本研究旨在调查肾移植术后患者发生重症新冠的临床特征、危险因素及预测因素。

材料与方法

收集2022年12月至2023年1月苏州大学附属第一医院肾移植术后新冠患者的临床资料。采用逻辑回归分析确定重症疾病的危险因素并构建列线图模型。同时,采用宏基因组二代测序(mNGS)检测痰液微生物组。

结果

共纳入58例患者,根据感染严重程度分为普通组(n = 35)和重症组(n = 23))。普通组包括23例男性,平均年龄45.60±9.11岁,而重症组包括16例男性,平均年龄48.22±9.95岁。多因素逻辑分析显示,住院前发热天数、入院时C反应蛋白(CRP)和白细胞介素-10(IL-10)是严重程度的显著独立危险因素,ROC曲线下面积为0.906。痰液微生物组比较显示,两组间α和β多样性无显著差异。重症组标本中 显著更丰富,而普通组中 和 显著更丰富。

结论

肾移植患者新冠的严重程度与住院前发热天数、入院时CRP和IL-10水平有关,这些因素也会改变痰液微生物组中某些物种的丰度。因此,有必要积极监测新冠确诊肾移植患者的临床指标,以降低进展为重症疾病的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d244/12420915/8fca1ee6e283/IDR-18-4763-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验