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Viral genome sequencing to decipher in-hospital SARS-CoV-2 transmission events.
Esser, Elisabeth; Schulte, Eva C; Graf, Alexander; Karollus, Alexander; Smith, Nicholas H; Michler, Thomas; Dvoretskii, Stefan; Angelov, Angel; Sonnabend, Michael; Peter, Silke; Engesser, Christina; Radonic, Aleksandar; Thürmer, Andrea; von Kleist, Max; Gebhardt, Friedemann; da Costa, Clarissa Prazeres; Busch, Dirk H; Muenchhoff, Maximilian; Blum, Helmut; Keppler, Oliver T; Gagneur, Julien; Protzer, Ulrike.
Afiliação
  • Esser E; Institute of Virology, School of Medicine & Health, Technical University of Munich/Helmholtz Munich, Munich, Germany.
  • Schulte EC; School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
  • Graf A; Institute of Virology, School of Medicine & Health, Technical University of Munich/Helmholtz Munich, Munich, Germany.
  • Karollus A; Department of Psychiatry, University Hospital, LMU Munich, Munich, Germany.
  • Smith NH; Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, Germany.
  • Michler T; Department of Psychiatry, University Hospital, Medical Faculty, University of Bonn, Bonn, Germany.
  • Dvoretskii S; Institute of Human Genetics, University Hospital, Medical Faculty, University of Bonn, Bonn, Germany.
  • Angelov A; Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany.
  • Sonnabend M; School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
  • Peter S; School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
  • Engesser C; Institute of Virology, School of Medicine & Health, Technical University of Munich/Helmholtz Munich, Munich, Germany.
  • Radonic A; Institute of Laboratory Medicine, University Hospital, LMU Munich, Munich, Germany.
  • Thürmer A; School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
  • von Kleist M; NGS Competence Center, University of Tübingen, Tübingen, Germany.
  • Gebhardt F; NGS Competence Center, University of Tübingen, Tübingen, Germany.
  • da Costa CP; NGS Competence Center, University of Tübingen, Tübingen, Germany.
  • Busch DH; NGS Competence Center, University of Tübingen, Tübingen, Germany.
  • Muenchhoff M; Method development, Research Infrastructure & IT (MFI), Robert-Koch Institute (RKI), Berlin, Germany.
  • Blum H; Method development, Research Infrastructure & IT (MFI), Robert-Koch Institute (RKI), Berlin, Germany.
  • Keppler OT; Department of Mathematics and Computer Science, Freie Universität (FU) Berlin, Berlin, Germany.
  • Gagneur J; Project Groups, Robert-Koch Institute (RKI), Berlin, Germany.
  • Protzer U; Institute for Medical Microbiology, Immunology and Hygiene, School of Medicine, Technical University of Munich, Munich, Germany.
Sci Rep ; 14(1): 5768, 2024 03 08.
Article em En | MEDLINE | ID: mdl-38459123
ABSTRACT
The SARS-CoV-2 pandemic has highlighted the need to better define in-hospital transmissions, a need that extends to all other common infectious diseases encountered in clinical settings. To evaluate how whole viral genome sequencing can contribute to deciphering nosocomial SARS-CoV-2 transmission 926 SARS-CoV-2 viral genomes from 622 staff members and patients were collected between February 2020 and January 2021 at a university hospital in Munich, Germany, and analysed along with the place of work, duration of hospital stay, and ward transfers. Bioinformatically defined transmission clusters inferred from viral genome sequencing were compared to those inferred from interview-based contact tracing. An additional dataset collected at the same time at another university hospital in the same city was used to account for multiple independent introductions. Clustering analysis of 619 viral genomes generated 19 clusters ranging from 3 to 31 individuals. Sequencing-based transmission clusters showed little overlap with those based on contact tracing data. The viral genomes were significantly more closely related to each other than comparable genomes collected simultaneously at other hospitals in the same city (n = 829), suggesting nosocomial transmission. Longitudinal sampling from individual patients suggested possible cross-infection events during the hospital stay in 19.2% of individuals (14 of 73 individuals). Clustering analysis of SARS-CoV-2 whole genome sequences can reveal cryptic transmission events missed by classical, interview-based contact tracing, helping to decipher in-hospital transmissions. These results, in line with other studies, advocate for viral genome sequencing as a pathogen transmission surveillance tool in hospitals.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecção Hospitalar / COVID-19 Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecção Hospitalar / COVID-19 Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha