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Last Posted: Apr 18, 2024
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Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records
M Nigau et al, Nature Comm, March 7, 2024

From the abstract: "Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and mortality in hospitals. Rapid, accurate risk stratification of MRSA is crucial for optimizing antibiotic therapy. Our study introduced a deep learning model, PyTorch_EHR, which leverages electronic health record (EHR) time-series data, including wide-variety patient specific data, to predict MRSA culture positivity within two weeks. 8,164 MRSA and 22,393 non-MRSA patient events. "

Global trends in the increasing prevalence of the fosfomycin resistance genenin Staphylococcus aureus
DFM Monte et al, Lancet Microbe, November 2023

From the paper: " Our results revealed that 59?065 (55·7%) of 106?005 S aureus strains harboured the fosB gene. Our comprehensive genomic analysis of the global distribution of S aureus strains carrying fosfomycin resistance genes revealed their presence in 34 countries. This prevalence extends to several continents, highlighting the widespread nature of this resistance mechanism."

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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

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