Molecular characterization of carbapenem-resistant Acinetobacter baumannii using WGS revealed missed transmission events in Germany from 2012–15

Author:

Eigenbrod Tatjana1,Reuter Sandra2,Gross Andrea2,Kocer Kaan13,Günther Frank14,Zimmermann Stefan1,Heeg Klaus1,Mutters Nico T12,Nurjadi Dennis1ORCID

Affiliation:

1. Department of Infectious Diseases, Medical Microbiology and Hygiene, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany

2. Medical Center – University of Freiburg, Institute for Infection Prevention and Hospital Epidemiology, Breisacher Strasse 115B, 79106, Freiburg, Germany

3. Deutsches Zentrum für Infektionsforschung (DZIF), Department of Infectious Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany

4. Medical Microbiology and Hygiene, Marburg University Hospital, Hans-Meerwein-Straße 2, 35043, Marburg, Germany

Abstract

Abstract Background Infection and colonization with multi-resistant Acinetobacter baumannii causes therapeutic and economic problems in the nosocomial setting. Due to the sensitivity issue of screening schemes for A. baumannii, it is difficult to implement adequate transmission prevention measures. The high discriminatory power of WGS for transmission-chain analysis provides us with the necessary tool to study and identify transmission events. We retrospectively sequenced and analysed 39 A. baumannii isolates from 2012–15 to search for possible missed transmission events. Methods Molecular typing by WGS was performed for non-repetitive (n=39) carbapenem-resistant A. baumannii. Retrospective assessment of patient records was performed to investigate and confirm possible transmission events. Results Between July 2012 and September 2015, A. baumannii was isolated from 268 patients, of which 16% (42/268) were carbapenem resistant. Thirty-nine of these isolates were recoverable and sequenced. Fifteen percent (6/39) of these were resistant to all antibiotics tested. Most isolates belong to the circulating IC2 clonal type. SNP analysis revealed four potential outbreak clusters. Two of these clusters showed high concordance with the local spatio-temporal epidemiology, suggesting that transmission events were very likely. Conclusions Our data suggest that there were two independent transmission events, which would have been missed by conventional MLST owing to high clonality. The routine implementation of WGS can optimize surveillance and initiation of suitable containment measures. In addition, emerging resistance to salvage therapy is a major therapeutic problem and should be monitored closely.

Funder

Department of Infectious Diseases of the Heidelberg University Hospital

Ministry of Science, Research

Arts of Baden-Württemberg

MWK

Surveillance von Mehrfach-Antibiotika-Resistenzen

German Center for Infection Research

DZIF

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology,Microbiology (medical)

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