Skip to main navigation Skip to search Skip to main content

Validation of a rapid method for detection of M. tuberculosis resistance to isoniazid and rifampin in Lima, Peru

  • L. A. Solis
  • , S. S. Shin
  • , L. L. Han
  • , F. Llanos
  • , M. Stowell
  • , Alexander Sloutsky
  • Mental Honorio Delgado-Hideyo Noguchi
  • Brigham and Women's Hospital
  • Socios en Salud Lima
  • Massachusetts State Laboratory

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

SETTING: Treatment of multidrug-resistant tuberculosis (MDR-TB) is often based on drug susceptibility testing (DST) results; for this reason, rapid, simple DST methods are sought which could be applied in resource-poor countries. One such method is a nitrate reductase colorimetric assay known as the Griess method. In Peru, where the incidence rate of TB is among the highest in South America, the National Institute of Health recently undertook the validation and implementation of the direct Griess method. OBJECTIVE: To describe the process of validation and implemention of the direct Griess method at the Peruvian National Institute of Health. DESIGN: Prospective study comparing the sensitivity and specificity of the direct Griess method with the Löwenstein-Jensen proportion method in determining resistance to isoniazid (INH) and rifampin (RMP) among clinical isolates. RESULTS: Among 192 specimens, the sensitivity and specificity of the Griess method for detection of INH resistance was 99.1% and 100%, respectively. For identification of RMP resistance, the sensitivity and specificity was 93.5% and 100%, respectively. CONCLUSIONS: In addition to its high sensitivity and specificity and rapid turn around time, the Griess method uses simple, inexpensive reagents and requires minimal laboratory space and technical expertise, thus providing an ideal screening tool for resource-poor settings with high rates of MDR-TB.

Original languageEnglish
Pages (from-to)760-764
Number of pages5
JournalInternational Journal of Tuberculosis and Lung Disease
Volume9
Issue number7
StatePublished - Jul 2005

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Diagnosis
  • Drug resistance
  • MDR
  • Tuberculosis

Cite this