亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

<p>Metagenomic Next-Generation Sequencing versus Traditional Pathogen Detection in the Diagnosis of Peripheral Pulmonary Infectious Lesions</p>

病菌 医学 支气管肺泡灌洗 基因组 支气管镜检查 病理 外围设备 内科学 生物 放射科 免疫学 生物化学 基因
作者
Jie Huang,Erlie Jiang,Donglin Yang,Jialin Wei,Mingfeng Zhao,Jing Feng,Jie Cao
出处
期刊:Infection and Drug Resistance [Dove Medical Press]
卷期号:Volume 13: 567-576 被引量:131
标识
DOI:10.2147/idr.s235182
摘要

The aim of this study was to evaluate the value of metagenomic next-generation sequencing (mNGS) in peripheral pulmonary infection management by comparing the diagnostic yield of mNGS and traditional pathogen detection methods on interventional specimens obtained by bronchoscopy.This study enrolled patients suspected with pulmonary infection who were admitted to Tianjin Medical University General Hospital from June 2018 to August 2019. Specimens were obtained from bronchoscopy for mNGS analysis and traditional pathogen detection (including bronchoalveolar lavage fluid microbial culture, smear microscopy, and lung biopsy histopathology), and the diagnostic yields were compared between mNGS and traditional methods to evaluate the diagnostic value of mNGS in peripheral pulmonary infection diagnosis.In this study, by comparing mNGS with traditional pathogen detection, the results indicated that, first, mNGS identified at least one microbial species in almost 89% of the patients with pulmonary infection; second, mNGS detected microbes related to human diseases in 94.49% of samples from pulmonary infection patients who had received negative results from traditional pathogen detection; third, the accuracy and sensitivity of mNGS are higher than those of traditional pathogen detection; and, finally, mNGS could simultaneously detect and identify a large variety of pathogens.Metagenomic NGS analysis provided fast and precise pathogen detection and identification, contributing to prompt and accurate treatment of peripheral pulmonary infection.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
xcy发布了新的文献求助10
2秒前
2秒前
mi完成签到,获得积分10
6秒前
顺心的一德完成签到,获得积分10
8秒前
punch发布了新的文献求助10
8秒前
星辰大海应助acasg采纳,获得10
9秒前
9秒前
ha完成签到,获得积分10
11秒前
笑点低酸奶完成签到,获得积分10
12秒前
16秒前
18秒前
22秒前
acasg发布了新的文献求助10
25秒前
27秒前
29秒前
笑点低的如萱完成签到,获得积分10
32秒前
大力的远望完成签到 ,获得积分10
34秒前
香蕉觅云应助王二八采纳,获得10
35秒前
36秒前
37秒前
liu95完成签到 ,获得积分0
41秒前
47秒前
柔弱的妙旋完成签到,获得积分10
47秒前
hugeyoung完成签到,获得积分10
55秒前
caca完成签到,获得积分0
58秒前
1分钟前
酷酷酷发布了新的文献求助10
1分钟前
bae完成签到 ,获得积分10
1分钟前
领导范儿应助punch采纳,获得10
1分钟前
BG发布了新的文献求助10
1分钟前
甜蜜语堂完成签到,获得积分10
1分钟前
1分钟前
科研通AI6.4应助bae采纳,获得10
1分钟前
大个应助怕孤单的大楚采纳,获得10
1分钟前
punch完成签到,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
cdercder应助科研通管家采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7705743
求助须知:如何正确求助?哪些是违规求助? 9263452
关于积分的说明 20042753
捐赠科研通 7281461
什么是DOI,文献DOI怎么找? 3295353
关于科研通互助平台的介绍 2450460
邀请新用户注册赠送积分活动 2302260