Predicting sepsis mortality into an era of pandrug-resistant E. coli through modeling

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Publication Details

Journal
Communications Medicine
Published
2024-12-26
DOI
https://doi.org/10.1038/s43856-024-00693-7
Citations
4
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.68

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article

Predicting sepsis mortality into an era of pandrug-resistant E. coli through modeling

Bruce A. Hungate, Cindy Meng-Hsin Liu, Benjamin J. Koch, Lance Bradley Price et al.
4 citations
Communications Medicine
Antibiotic Resistance in Bacteria
0.68
article

Predicting sepsis mortality into an era of pandrug-resistant E. coli through modeling

Bruce A. Hungate, Cindy Meng-Hsin Liu, Benjamin J. Koch, Lance Bradley Price, Daniel E. Park, James R. Johnson
article en
4 citations

Abstract

No abstract available for this paper.
Communications MedicineVol. 4(1)
University of Minnesota (US), Milken Institute (US), George Washington University (US), Northern Arizona University (US), Minneapolis VA Health Care System (US)
U.S. Department of Veterans Affairs, Office of Research and Development, Northern Arizona University
Good health and well-being
Openalex Percentile: Top 34%
Antibiotic Resistance in Bacteria
0.68
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Predicting sepsis mortality into an era of pandrug-resistant E. coli through modeling — Bruce A. Hungate, Cindy Meng-Hsin Liu, et al. · Communications Medicine (2024) | TGRS Research Map | TGRS