Concordance of next-generation sequencing and conventional microbiology for pathogen detection and antimicrobial resistance prediction in pneumonia

Abstract Delays in pathogen and antimicrobial resistance (AMR) profiling adversely affect patient outcomes. Next-generation sequencing (NGS) may complement conventional microbiology (CM), yet real-world value of NGS in pneumonia diagnosis remains unclear. We quantified concordance between a commercial NGS panel and CM for pathogen detection and genotypic AMR prediction in 48 pneumonia inpatients with culture-confirmed infections. Archived sputum was analysed using the Ion AmpliSeq Pan-Bacterial targeted panel with 16S rRNA profiling. CM comprised culture, matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) identification and disc-diffusion antibiotic susceptibility testing. NGS recovered 27/50 pathogens detected by CM (54.0%, 95% CI 40.4–67.0), with more organisms per sample than CM (mean 2.42 versus 1.04), including uncultured taxa, indicating broader detection. AMR sensitivity of NGS was low (41.2%, 105/255; 95% CI 35.3–47.3; ranging from 1.1% for fluoroquinolones to 100% for cephamycins/lincosamides/tetracyclines) and remained low (37.6–69.8%) across alternative read and abundance cut-offs. Overall, the commercial NGS panel expanded pathogen detection beyond culture but showed only moderate concordance with CM and limited sensitivity for AMR phenotypes; it is therefore best regarded as an adjunct to CM and phenotypic susceptibility testing in pneumonia, not a replacement.

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Publication Details

Journal
Royal Society Open Science
Published
2026-09-30
DOI
https://doi.org/10.1098/rsos.260772
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00

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article

Concordance of next-generation sequencing and conventional microbiology for pathogen detection and antimicrobial resistance prediction in pneumonia

Vitaliy M. Strochkov, Maxim Solomadin, Shynggys Orkara, Alyona V. Lavrinenko et al.
Royal Society Open Science
Bacterial Identification and Susceptibility Testing
article

Concordance of next-generation sequencing and conventional microbiology for pathogen detection and antimicrobial resistance prediction in pneumonia

Vitaliy M. Strochkov, Maxim Solomadin, Shynggys Orkara, Alyona V. Lavrinenko, Nurlan T. Sandybayev, Vyacheslav Beloussov, Sergey Yegorov, Radmir Sarsenov
article en

Abstract

Abstract Delays in pathogen and antimicrobial resistance (AMR) profiling adversely affect patient outcomes. Next-generation sequencing (NGS) may complement conventional microbiology (CM), yet real-world value of NGS in pneumonia diagnosis remains unclear. We quantified concordance between a commercial NGS panel and CM for pathogen detection and genotypic AMR prediction in 48 pneumonia inpatients with culture-confirmed infections. Archived sputum was analysed using the Ion AmpliSeq Pan-Bacterial targeted panel with 16S rRNA profiling. CM comprised culture, matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) identification and disc-diffusion antibiotic susceptibility testing. NGS recovered 27/50 pathogens detected by CM (54.0%, 95% CI 40.4–67.0), with more organisms per sample than CM (mean 2.42 versus 1.04), including uncultured taxa, indicating broader detection. AMR sensitivity of NGS was low (41.2%, 105/255; 95% CI 35.3–47.3; ranging from 1.1% for fluoroquinolones to 100% for cephamycins/lincosamides/tetracyclines) and remained low (37.6–69.8%) across alternative read and abundance cut-offs. Overall, the commercial NGS panel expanded pathogen detection beyond culture but showed only moderate concordance with CM and limited sensitivity for AMR phenotypes; it is therefore best regarded as an adjunct to CM and phenotypic susceptibility testing in pneumonia, not a replacement.

Royal Society Open ScienceVol. 13(9)
Karaganda Medical University (KZ), Kazakh National Agrarian Research University (KZ), Nazarbayev University (KZ)
Ministry of Science and Higher Education of the Republic of Kazakhstan, Nazarbayev University
Openalex Percentile: Top 75%
Bacterial Identification and Susceptibility Testing
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