A clinical prediction rule for fluoroquinolone resistance in healthcare-acquired gram-negative urinary tract infection.
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.
Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6021, USA.
Pinyo
P
Rattanaumpawan
Pam
P
Tolomeo
Warren B
WB
Bilker
Ebbing
E
Lautenbach
D000900:Anti-Bacterial Agents / Q000627:therapeutic use*; D016022:Case-Control Studies; D003428:Cross Infection / Q000188:drug therapy; D003661:Decision Support Techniques; D024881:Drug Resistance, Bacterial; D005260:Female; D024841:Fluoroquinolones / Q000494:pharmacology / Q000627:therapeutic use*; D006090:Gram-Negative Bacteria / Q000187:drug effects; D016905:Gram-Negative Bacterial Infections / Q000188:drug therapy*; D006801:Humans; D016015:Logistic Models; D008297:Male; D012372:ROC Curve; D012189:Retrospective Studies; D014552:Urinary Tract Infections / Q000188:drug therapy*
D000900:Anti-Bacterial Agents; D024841:Fluoroquinolones