Evaluation of a commercial multiplex real-time PCR panel for identification environmental water antibiotic-resistant bacteria in hemoculture bottles
Year: 2024
Type: article
Abstract: Background: Antimicrobial resistance (AMR) is a major public health problem worldwide, and it is increasing, especially in developed and developing countries, including Thailand. Sepsis is a crisis and emergency causing the death of patients with a high mortality rate of 1 in 5 of the global population. Using inappropriate antimicrobial drugs to treat infections increases the chance of drug resistance in the microorganisms, and precise and rapid treatment is essential for patient management. Objective: This cooperative study aims to evaluate a commercial multiplex real-time PCR panel, QIAstat-Dx BCID GN Plus AMR Panel, to detect antimicrobial-resistant genes in the bloodstream. Materials and methods: Thirty bacterial samples were used to simulate bloodstream infections. The comparison between the QIAstat-Dx BCID GN Plus AMR Panel and the conventional PCR method was revealed. Results: Both methods gave concordant results for 12 samples, while results for 15 were discordant. Three samples could not be detected using the QIAstat-Dx BCID GN Plus AMR Panel because ebc gene is not included. The QIAstat-Dx BCID GN Plus AMR Panel revealed a sensitivity, specificity, positive predictive value, and negative predictive value of 91.50%, 93.30%, 74.10%, and 98.50%, respectively. Conclusion: The study indicated that the QIAstat-Dx BCID GN Plus AMR Panel Cartridge can detect common antimicrobial-resistant genes from the bloodstream. However, additional resistant genes should be included in the panel to cover various highly prevalent antimicrobial-resistant genes based on geographical location.
Authors: Pimwan Thongdee, Putt Narongdej, Passara Wongthai, Sirachat Nitchaphanit, Kasidach Chuenchom, Kanlaya Krataipech, Jantima Raksatham, Dutsadee Peerapongpaisarn, Wilawan Oransathit, Sirigade Ruekit, Nattaya Ruamsap, Piraporn Juntanawiwat, Paphavee Lertsethtakarn, Pongthorn Narongroeknawin, Tanit Boonsiri
Language: English
Subfield: Clinical Biochemistry
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4405729403
