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Comparison of Clinical Prediction Models for Resistant Bacteria in Community-onset Pneumonia.


AUTHORS

Self WH , Wunderink RG , Williams DJ , Barrett TW , Baughman AH , Grijalva CG , . Academic emergency medicine : official journal of the Society for Academic Emergency Medicine. 2015 5 20; ().
  • NIHMSID: 9418450

ABSTRACT

Six recently published algorithms classify pneumonia patients presenting from the community into high- and low-risk groups for resistant bacteria. Our objective was to compare performance of these algorithms for identifying patients infected with bacteria resistant to traditional community-acquired pneumonia antibiotics.


Six recently published algorithms classify pneumonia patients presenting from the community into high- and low-risk groups for resistant bacteria. Our objective was to compare performance of these algorithms for identifying patients infected with bacteria resistant to traditional community-acquired pneumonia antibiotics.


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