Direct Detection of Carbapenemase-Producing Klebsiella pneumoniae by MALDI-TOF Analysis of Full Spectra Applying Machine Learning

Author:

Gato Eva1,Arroyo Manuel J.2,Méndez Gema2,Candela Ana1,Rodiño-Janeiro Bruno Kotska1,Fernández Javier3ORCID,Rodríguez-Sánchez Belén4,Mancera Luis2,Arca-Suárez Jorge15,Beceiro Alejandro15ORCID,Bou Germán15,Oviaño Marina15ORCID

Affiliation:

1. Servicio de Microbiología, Complejo Hospitalario Universitario A Coruña, A Coruña, Spain

2. Clover Bioanalytical Software S.L., Granada, Spain

3. Servicio de Microbiología, Hospital Central de Asturias, Oviedo, Spain

4. Servicio de Microbiología, Hospital General Gregorio Marañón, Madrid, Spain

5. Centro de Investigación Biomedica en Red Enfermedades Infecciosas (CIBERINFEC). Instituto de Salud Carlos III (ISCIII), Madrid, Spain

Abstract

MALDI-TOF MS is considered to be an important tool for the future development of rapid microbiological techniques. We propose the application of MALDI-TOF MS as a dual technique for the identification of bacteria and the detection of resistance, with no extra hands-on procedures.

Funder

Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica

MEC | Instituto de Salud Carlos III

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Reference39 articles.

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2. Centers for Disease Control and Prevention C. 2019. Antibiotic resistance threats in the United States 2019.

3. WHO publishes list of bacteria for which new antibiotics are urgently needed;WHO;Saudi Med J,2017

4. European Centre for Disease Prevention and Control. Surveillance of antimicrobial resistance in Europe 2018. 2019. Stockholm: ECDC. Available at: https://www.ecdc.europa.eu/sites/default/files/documents/surveillance-antimicrobial-resistance-Europe-2018.pdf.

5. Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: a population-level modelling analysis

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