摘要
目的探讨宏基因组二代测序技术经检测重症感染患儿的病原体谱。方法横断面研究。收集2022年1月至2023年6月在宁波大学附属妇女儿童医院重症监护病房收治的重症感染患儿212例,对249份样本进行mNGS,分析病原分布特点。结果212例患儿249份样本中,阳性检出率为49.80%(124/249),其中14例为混合感染,占比6.60%(14/212)。mNGS技术检出的重症感染儿童病原体分布显示,革兰阳性菌中最常见为金黄色葡萄球菌(3.61%,9/249)、肺炎链球菌(2.81%,7/249)、表皮葡萄球菌(2.41%,6/249);革兰阴性菌中最常见为产气克雷伯菌(2.41%,6/249)、肺炎克雷伯菌(2.41%,6/249)、副流感嗜血杆菌(2.01%,5/249)。真菌最常见为近平滑念珠菌(2.01%,5/249)。病毒最常见为人巨细胞病毒(6.02%,15/249),人疱疹病毒1型(1.61%,4/249)和EB病毒(1.61%,4/249)。非典型病原体以肺炎支原体(3.21%,8/249)最为常见。结论本研究通过mNGS探讨了重症感染性疾病患儿的病原体谱,有助于诊断混合感染或少见、罕见病原感染,可快速、高效确定病原。
Objective To investigate the pathogenic spectrum of children with severe infection by metagenomic next generation sequencing(mNGS).Methods This study was a cross-sectional study.We collected 212 cases of severely infected pediatric patients admitted to the Intensive Care Unit(ICU)of the Women and Children′s Hospital of Ningbo University from January 2022 to June 2023,and performed metagenomic next-generation sequencing(mNGS)on 249 samples to analyze the pathogenic distribution characteristics.Results Among the 249 samples of 212 children,the positive detection rate was 49.80%(124/249),including 14 cases of mixed infections,accounting for 6.60%(14/212).According to the mNGS technology,the pathogen distribution of severely infected children showed that the most common Gram-positive bacteria were Staphylococcus aureus(3.61%,9/249),Streptococcus pneumoniae(2.81%,7/249),and Staphylococcus epidermidis(2.41%,6/249);the most common Gram-negative bacteria were Klebsiella aerogenes(2.41%,6/249),Klebsiella pneumoniae(2.41%,6/249),and Haemophilus parainfluenzae(2.01%,5/249).The most common fungus was Candida parapsilosis(2.01%,5/249).The most common virus was Human Cytomegalovirus(HCMV)(6.02%,15/249),Human Herpesvirus 1(HHV-1)(1.61%,4/249),and Epstein-Barr virus(EBV)(1.61%,4/249).The most common atypical pathogen was Mycoplasma pneumoniae(3.21%,8/249).Conclusions This study explored the pathogen spectrum in severely infected pediatric patients through mNGS,contributing to the diagnosis of mixed infections or infections caused by uncommon or rare pathogens,which enables rapid and efficient identification of pathogens.
作者
赖丁香
潘云
周颖
庄丹燕
李海波
郑吉善
Lai Dingxiang;Pan Yun;Zhou Ying;Zhuang Danyan;Li Haibo;Zheng Jishan(Department of Pediatric,Ningbo Zhenhai Dist Lianhua Hospital,Ningbo315000,China;Comprehensive Prevention and Treatment Center for Birth Defects,Women and Children′s Hospital of Ningbo University,Ningbo315000,China;Department of Pediatric,Women and Children′s Hospital of Ningbo University,Ningbo315000,China)
出处
《中华检验医学杂志》
CAS
CSCD
北大核心
2024年第11期1340-1344,共5页
Chinese Journal of Laboratory Medicine
基金
浙江省医药卫生科技项目(2023KY1118)
宁波市社会公益项目(2022S035)
宁波市揭榜挂帅重点研发计划(2023Z178)
宁波市医疗卫生高端团队(2022020405)。
关键词
宏基因组
分子诊断技术
感染
病原
儿童
Metagenome
Next-generation sequencing
Infection
Pathogen
Child
