Literature DB >> 33217418

Added Diagnostic Utility of Clinical Metagenomics for the Diagnosis of Pneumonia in Immunocompromised Adults.

Marwan M Azar1, Robert Schlaberg2, Maricar F Malinis3, Santos Bermejo4, Toni Schwarz5, Heng Xie5, Charles S Dela Cruz4.   

Abstract

BACKGROUND: In the evaluation of community-acquired pneumonia, 30% to 60% of cases remain undiagnosed, despite extensive conventional microbiologic testing (CMT). Clinical metagenomics (CM) is an unbiased pathogen detection method that can increase diagnostic yield. RESEARCH QUESTION: Does adding clinical metagenomics to conventional microbiologic testing improve the diagnostic yield for pneumonia in immunocompromised adults? STUDY DESIGN AND METHODS: We performed a noninterventional prospective study of immunocompromised adults with pneumonia who underwent bronchoscopy and BAL over 2 years. CMT was performed per standard of care. A commercial CM test was performed on residual BAL fluid. Final microbiologic diagnoses were based on CMT vs CMT + CM. Final clinical diagnoses for CMT and CMT + CM were made based on laboratory results in conjunction with clinical and radiologic findings. Hypothetical impact of CMT + CM on management and antimicrobial stewardship was also assessed.
RESULTS: A total of 30 immunocompromised adult patients (31 episodes of pneumonia) were included. Final microbiologic diagnoses were made in 11 cases (35%) with the use of CMT and in 18 cases (58%) with the use of CMT + CM. Bacterial pneumonia was diagnosed in five cases (16%) by CMT and in 13 cases (42%) by CMT + CM; fungal pneumonia was diagnosed in six cases (19%) by CMT and in seven cases (23%) by CMT + CM, and viral pneumonia was diagnosed in two cases (6%) by CMT and in five cases (16%) by CMT + CM. The hypothetical impact of CMT + CM on management was deemed probable in one case, possible in eight cases, and unlikely in two cases, whereas the impact on antimicrobial stewardship was possible in 13 cases and unlikely in seven cases. Final clinical diagnoses were made in 20 of 31 cases (65%) based on CMT and in 23 of 31 cases (74%) based on CMT + CM.
INTERPRETATION: CMT + CM increased diagnostic yield in immunocompromised adults with pneumonia from 35% to 58%, mostly by the detection of additional bacterial causes but was less useful for fungal pneumonia.
Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BAL; clinical metagenomics; diagnosis; immunocompromise; pneumonia

Year:  2020        PMID: 33217418     DOI: 10.1016/j.chest.2020.11.008

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  5 in total

1.  A Paired Comparison of Plasma and Bronchoalveolar Lavage Fluid for Metagenomic Next-Generation Sequencing in Critically Ill Patients with Suspected Severe Pneumonia.

Authors:  Xiaojing Wu; Qingyuan Zhan; Ting Sun; Yijie Liu; Ying Cai; Tianshu Zhai; Yun Zhou; Bin Yang
Journal:  Infect Drug Resist       Date:  2022-08-09       Impact factor: 4.177

2.  Unbiased Pandemic Pathogen Detection and the Federal Register.

Authors:  Alexander L Greninger
Journal:  J Clin Microbiol       Date:  2021-06-22       Impact factor: 5.948

3.  Evaluation of Metagenomic and Targeted Next-Generation Sequencing Workflows for Detection of Respiratory Pathogens from Bronchoalveolar Lavage Fluid Specimens.

Authors:  David C Gaston; Heather B Miller; John A Fissel; Emily Jacobs; Ethan Gough; Jiajun Wu; Eili Y Klein; Karen C Carroll; Patricia J Simner
Journal:  J Clin Microbiol       Date:  2022-06-13       Impact factor: 11.677

4.  Metagenomic next-generation sequencing-guided antimicrobial treatment versus conventional antimicrobial treatment in early severe community-acquired pneumonia among immunocompromised patients (MATESHIP): A study protocol.

Authors:  Shaohua Fan; Min Si; Nana Xu; Meichen Yan; Mingmin Pang; Guangfeng Liu; Jibin Gong; Hao Wang
Journal:  Front Microbiol       Date:  2022-08-02       Impact factor: 6.064

Review 5.  Next Generation and Other Sequencing Technologies in Diagnostic Microbiology and Infectious Diseases.

Authors:  Evann E Hilt; Patricia Ferrieri
Journal:  Genes (Basel)       Date:  2022-08-31       Impact factor: 4.141

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.