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; ().
- PMID: 25996620 [PubMed].
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.
Tags: Alumni Publications 2015