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).
Publication types
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Multicenter Study
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Research Support, Non-U.S. Gov't
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Validation Study
MeSH terms
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Aged
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Anti-Bacterial Agents / therapeutic use
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Carbapenems / therapeutic use*
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Catheter-Related Infections / complications
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Catheter-Related Infections / microbiology
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Cross Infection / drug therapy*
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Female
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Gram-Negative Bacterial Infections / drug therapy*
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Humans
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Logistic Models
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Male
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Middle Aged
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Models, Theoretical
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Prognosis
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Retrospective Studies
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Risk Assessment / methods
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Severity of Illness Index
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United States
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Urinary Tract Infections / drug therapy*
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Urinary Tract Infections / microbiology
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beta-Lactam Resistance*
Substances
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Anti-Bacterial Agents
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Carbapenems