HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

A rapid detection of multidrug-resistant Mycobacterium tuberculosis by a nitrate reductase assay on blood agar.

Abstract
The susceptibility of 49 Mycobacterium tuberculosis clinical isolates to isoniazid (INH) and rifampisin (RIF) (28 multi-drug resistant-tuberculosis samples) was determined by a nitrate reductase assay (NRA) on blood agar. Agreement between the NRA and other testing methods was found to be 93.8% for both INH and RIF. The sensitivity, specificity, positive predictive value and negative predictive value for INH were 92.8%, 94.2%, 86.6% and 97%, respectively. The sensitivity, specificity, positive predictive value and negative predictive value for RIF were 90.4%, 96.4%, 95% and 93.1%. In conclusion, we show here that blood agar can be used effectively for the NRA test.
AuthorsAhmet Yilmaz Coban, Yeliz Tanriverdi Cayci, Aydin Deveci, Alper Akgunes, Meltem Uzun, Belma Durupinar
JournalMemorias do Instituto Oswaldo Cruz (Mem Inst Oswaldo Cruz) Vol. 106 Issue 3 Pg. 378-80 (May 2011) ISSN: 1678-8060 [Electronic] Brazil
PMID21655831 (Publication Type: Journal Article)
Chemical References
  • Antitubercular Agents
  • Agar
  • Nitrate Reductase
  • Isoniazid
  • Rifampin
Topics
  • Agar
  • Antitubercular Agents (pharmacology)
  • Drug Resistance, Multiple, Bacterial (drug effects)
  • Humans
  • Isoniazid (pharmacology)
  • Microbial Sensitivity Tests
  • Mycobacterium tuberculosis (drug effects)
  • Nitrate Reductase (metabolism)
  • Predictive Value of Tests
  • Rifampin (pharmacology)
  • Sensitivity and Specificity
  • Tuberculosis, Multidrug-Resistant (microbiology)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: