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The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis.
Ren, Di; Ren, Chao; Yao, Renqi; Zhang, Lin; Liang, Xiaomin; Li, Guiyun; Wang, Jiaze; Meng, Xinke; Liu, Jia; Ye, Yu; Li, Haoli; Wen, Sha; Chen, Yanhong; Zhou, Dan; He, Xisi; Li, Xiaohong; Lai, Kai; Li, Ying; Gui, Shuiqing.
Afiliação
  • Ren D; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Ren C; Trauma Research Center, Fourth Medical Center of the Chinese PLA General Hospital, Beijing, 100048, People's Republic of China.
  • Yao R; Trauma Research Center, Fourth Medical Center of the Chinese PLA General Hospital, Beijing, 100048, People's Republic of China.
  • Zhang L; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Liang X; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Li G; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Wang J; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Meng X; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Liu J; Research & Development, Dinfectome Inc., Nanjing, 213164, Jiangsu, China.
  • Ye Y; Department of Neurosurgery, Shenzhen Longgang Central Hospital (The Second Affiliated Hospital of the Chinese University of Hong Kong (Shenzhen)), Shenzhen, China.
  • Li H; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Wen S; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Chen Y; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Zhou D; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • He X; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Li X; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Lai K; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Li Y; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. yeyu2007@qq.com.
  • Gui S; Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. guishuiqing@163.com.
BMC Infect Dis ; 21(1): 1257, 2021 Dec 16.
Article em En | MEDLINE | ID: mdl-34915851
ABSTRACT

BACKGROUND:

In this study, we aimed to perform a comprehensive analysis on the metagenomic next-generation sequencing for the etiological diagnosis of septic patients, and further to establish optimal read values for detecting common pathogens.

METHODS:

In this single-center retrospective study, septic patients who underwent pathogen detection by both microbial culture and metagenomic next-generation sequencing in the intensive care unit of the Second People's Hospital of Shenzhen from June 24, 2015, to October 20, 2019, were included.

RESULTS:

A total of 193 patients with 305 detected specimens were included in the final analysis. The results of metagenomic next-generation sequencing showed significantly higher positive rates in samples from disparate loci, including blood, bronchoalveolar lavage fluid, and cerebrospinal fluid, as well as in the determination of various pathogens. The optimal diagnostic reads were 2893, 1825.5, and 892.5 for Acinetobacter baumannii, Pseudomonas aeruginosa, and Klebsiella pneumoniae, respectively.

CONCLUSIONS:

The metagenomic next-generation sequencing is capable of identifying multiple pathogens in specimens from septic patients, and shows significantly higher positive rates than culture-based diagnostics. The optimal diagnostic reads for frequently detected microbes might be useful for the clinical application of metagenomic next-generation sequencing in terms of timely and accurately determining etiological pathogens for suspected and confirmed cases of sepsis due to well-performed data interpretation.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sepse / Metagenômica Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sepse / Metagenômica Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article