Literature DB >> 34929357

mNGS for identifying pathogens in febrile neutropenic children with hematological diseases.

Fang Guo1, Lei Kang2, Lin Zhang3.   

Abstract

OBJECTIVE: To investigate the application value of metagenomic next-generation sequencing (mNGS) in children with hematological diseases presenting with Febrile Neutropenia (FN).
METHODS: We retrospectively analyzed the clinical data of 49 hematological children with FN, and compared the results of mNGS with those of traditional pathogen detection (TPD) and the prognoses of mNGS positive group and negative group.
RESULTS: A total of 77 pathogenic strains were identified, of which 70 strains were detected by mNGS, 19 strains by TPD, and Aspergillus and G- bacterias were the predominant strains in FN children who developed bloodstream infections. 42 cases were in the mNGS-positive group, of which 17 were simple infections, 25 were mixed infections, and 7 were in the negative group; the TPD-positive group contained 19 cases, all of which were simple infections. The detection rate of total and mixed pathogens was higher than that of TPD, and the difference was statistically significant (P<0.05). The mNGS positive group was detected earlier than the negative group, and with lower mortality and drug-related adverse events (DRAE), and the difference was statistically significant (P<0.05).
CONCLUSION: For FN children with hematological diseases, early mNGS can effectively improve the efficacy of pathogen detection, and precise treatment after clarifying the pathogens can reduce mortality and avoid antibiotic abuse.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  febrile neutropenic; hematological diseases; metagenomic next-generation sequencing

Mesh:

Year:  2021        PMID: 34929357     DOI: 10.1016/j.ijid.2021.12.335

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


  2 in total

1.  The Value of Metagenomic Next-Generation Sequencing in Hematological Malignancy Patients with Febrile Neutropenia After Empiric Antibiotic Treatment Failure.

Authors:  Meng Zhang; Zhao Wang; Jiaxi Wang; Hairong Lv; Xia Xiao; Wenyi Lu; Xin Jin; Juanxia Meng; Yedi Pu; MingFeng Zhao
Journal:  Infect Drug Resist       Date:  2022-07-07       Impact factor: 4.177

2.  WBC Image Segmentation Based on Residual Networks and Attentional Mechanisms.

Authors:  Jiangping Wu; Xin Zheng; Deyang Liu; Liefu Ai; Pan Tang; Boyang Wang; Yuanzhi Wang
Journal:  Comput Intell Neurosci       Date:  2022-08-31
  2 in total

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