Respiratory Fluoroquinolone Use and Influenza

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 2011 English Publisher:Cambridge University Press (CUP)Journal:Infection Control & Hospital Epidemiology, volume 32, pages 706-709 (issn: 0899-823X, eissn: 1559-6834,

Copyright policy )

Authors: Philip M, Polgreen; Ming, Yang; Ramanan, Laxminarayan; Joseph E, Cavanaugh;

doi: 10.1086/660859

pmid: 21666403

pmc: PMC3258490

Respiratory Fluoroquinolone Use and Influenza

- Summary
- Subjects
- Metrics

Abstract

We show that respiratory fluoroquinolone use is extremely seasonal and that fluoroquinolone use is strongly associated with influenza. In our time series model, instantaneous influenza activity was a significant predictor of use (P< .0001). Also, we estimated that reducing influenza activity by 20% would reduce prescriptions by 8%.

Related Organizations

College of New Jersey
United States
University of Iowa
United States
Public Health Foundation of India
India
Roy J. and Lucille A. Carver College of Medicine
United States

Keywords

Adult, Inappropriate Prescribing, Drug Utilization, United States, Anti-Bacterial Agents, Influenza, Human, Humans, Regression Analysis, Seasons, Respiratory Tract Infections, Fluoroquinolones

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	25
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%