Journal article
Diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases
- Abstract:
-
Misdiagnosis of enteric fever is a major global health problem resulting in patient mismanagement, antimicrobial misuse and inaccurate disease burden estimates. Applying a machine-learning algorithm to host gene expression profiles, we identified a diagnostic signature which could accurately distinguish culture-confirmed enteric fever cases from other febrile illnesses (AUROC<95%). Applying this signature to a culture-negative suspected enteric fever cohort in Nepal identified a further 12...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- EMBO Press Publisher's website
- Journal:
- EMBO Molecular Medicine Journal website
- Volume:
- 11
- Issue:
- 10
- Article number:
- e10431
- Publication date:
- 2019-08-30
- Acceptance date:
- 2019-08-09
- DOI:
- EISSN:
-
1757-4684
- ISSN:
-
1757-4676
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:1038855
- UUID:
-
uuid:cc68cbfa-7a94-420d-82a7-3c0ebb4e30d9
- Local pid:
- pubs:1038855
- Source identifiers:
-
1038855
- Deposit date:
- 2019-10-06
Terms of use
- Copyright holder:
- Blohmke, CJ et al.
- Copyright date:
- 2019
- Rights statement:
- © 2019 The Authors. Published under the terms of the CC BY 4.0 license
- Licence:
- CC Attribution (CC BY)
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