Prediction of antimicrobial susceptibility of pneumococci based on whole-genome sequencing data: a direct comparison of two genomic tools to conventional antimicrobial susceptibility testing.

• Tác giả: Lize Cuypers, Stefanie Desmet, Lies Laenen, Katrien Lagrou, Peter Májek, Gerardo J Sanchez
• Ngôn ngữ: eng
• Ký hiệu phân loại: 614.51 Salmonella infections, bacillary diseases, clostridium infections, diphtheria, cholera, dysenteries, influenza
• Thông tin xuất bản: United States : Journal of clinical microbiology , 2025
• Bộ sưu tập: NCBI
• ID: 253607

Tóm tắt

Determination of antimicrobial resistance (AMR) in pneumococcal isolates is important for surveillance purposes and in a clinical context. Antimicrobial susceptibility testing (AST) of pneumococci is complicated by the need for exact minimal inhibitory concentrations (MICs) of beta-lactam antibiotics. Two next-generation sequencing (NGS) analysis tools have implemented the prediction of AMR in their analysis workflow, including the prediction of MICs: Pathogenwatch (https://pathogen.watch/) and AREScloud (OpGen). The performance of these tools in comparison to phenotypic AST following EUCAST guidelines is unknown. A total of 538