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A Clinical Prediction Rule for Fluoroquinolone Resistance in Healthcare-Acquired Gram-Negative Urinary Tract Infection

Published online by Cambridge University Press:  02 January 2015

Pinyo Rattanaumpawan ,
Pam Tolomeo ,
Warren B. Bilker  and
Ebbing Lautenbach
Pinyo Rattanaumpawan
Affiliation:
Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
Pam Tolomeo
Affiliation:
Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
Warren B. Bilker
Affiliation:
Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania Center for Education and Research on Therapeutics and University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
Ebbing Lautenbach*
Affiliation:
Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania Center for Education and Research on Therapeutics and University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania Division of Infectious Diseases of the Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania.
*
University of Pennsylvania School of Medicine, Center for Clinical Epidemiology and Biostatistics, 825 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104-6021 ([email protected])
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Abstract

Data from a case-control study were used to derive and internally validate a prediction rule for identifying fluoroquinolone resistance in healthcare-acquired gram-negative urinary tract infection. This prediction rule has an excellent sensitivity and specificity (C-statistic, 0.816). External validation is necessary before implementing this rule to optimize empirical antibiotic use in clinical practice.

Type
Concise Communications
Information
Infection Control & Hospital Epidemiology , Volume 32 , Issue 11 , November 2011 , pp. 1124 - 1126
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2011

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References

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