<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

DRUG RESISTANCE IN TUBERCULOSIS

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 1997Publisher:Elsevier BVJournal:Infectious Disease Clinics of North America, volume 11, pages 905-928 (issn: 0891-5520,

Authors: Max Salfinger; Linda M. Parsons; Harry W. Taber; Jeffrey Driscoll;

doi: 10.1016/s0891-5520(05)70397-4

pmid: 9421707

DRUG RESISTANCE IN TUBERCULOSIS

- Summary
- Subjects
- Metrics

Abstract

Drug-resistant tuberculosis remains a worldwide problem. New laboratory methods have improved our ability to more rapidly identify resistant strains, but the most effective approach is to prevent the appearance of resistance by appropriate choice of antibiotics and directly-observed therapy. Mycobacterium tuberculosis is treated with familiar and unique drugs; consequently, mechanisms of resistance have some unique features. All drug resistance thus far identified develops by mutational events rather than acquisition of resistance genes from other bacteria. An agenda is presented for countering the appearance of further drug resistance in mycobacteria.

Related Organizations

State University of New York at Potsdam
United States
Albany Medical Center Hospital
United States
New York State Department of Health
United States
Wadsworth Center
United States

Keywords

Antitubercular Agents, Drug Resistance, Microbial, Microbial Sensitivity Tests, Mycobacterium tuberculosis, United States, Anti-Bacterial Agents, Cell Wall, Communicable Disease Control, Mutation, Humans, Tuberculosis, Centers for Disease Control and Prevention, U.S., Antibiotics, Antitubercular, Public Health Administration

Impact byBIP!

	citations 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).	38
	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%