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Journal article

Minimizing treatment-induced emergence of antibiotic resistance in bacterial infections

Abstract:

Treatment of bacterial infections currently focuses on choosing an antibiotic that matches a pathogen’s susceptibility, with less attention paid to the risk that even susceptibility-matched treatments can fail as a result of resistance emerging in response to treatment. Combining whole-genome sequencing of 1113 pre- and posttreatment bacterial isolates with machine-learning analysis of 140,349 urinary tract infections and 7365 wound infections, we found that treatment-induced emergence of res...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1126/science.abg9868

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Pathology Dunn School
Role:
Author
ORCID:
0000-0001-5685-0352
More by this author
Role:
Author
ORCID:
0000-0001-6067-1912
More by this author
Role:
Author
ORCID:
0000-0003-2515-4113
Publisher:
American Association for the Advancement of Science
Journal:
Science More from this journal
Volume:
375
Issue:
6583
Pages:
889-894
Publication date:
2022-02-25
Acceptance date:
2021-12-23
DOI:
EISSN:
1095-9203
ISSN:
0036-8075
Language:
English
Keywords:
Pubs id:
1241605
Local pid:
pubs:1241605
Deposit date:
2022-03-10

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