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Development and validation of a bedside instrument to predict carbapenem resistance among gram-negative pathogens in complicated urinary tract infections

Abstract
We developed a bedside instrument to predict carbapenem resistance in complicated urinary tract infections. A model assigning weighted points for admission from an extended care facility (1), history of weight loss (1), early mechanical ventilation (1), age <50 years (2), male gender (3), catheter-associated urinary tract infection (4), prior antibiotics treatment (4), and prior carbapenem-resistant infection (8) exhibited good discrimination (C statistic, 0.721).
Type
article
article
Date
2018-01-01
Publisher
Degree
Advisors
Rights
UMass Amherst Open Access Policy
License
http://creativecommons.org/licenses/by-nc-sa/4.0/