Your browser doesn't support javascript.
loading
Use of Xpert MTB/RIF in Decentralized Public Health Settings and Its Effect on Pulmonary TB and DR-TB Case Finding in India.
Sachdeva, Kuldeep Singh; Raizada, Neeraj; Sreenivas, Achuthan; Van't Hoog, Anna H; van den Hof, Susan; Dewan, Puneet K; Thakur, Rahul; Gupta, R S; Kulsange, Shubhangi; Vadera, Bhavin; Babre, Ameet; Gray, Christen; Parmar, Malik; Ghedia, Mayank; Ramachandran, Ranjani; Alavadi, Umesh; Arinaminpathy, Nimalan; Denkinger, Claudia; Boehme, Catharina; Paramasivan, C N.
Affiliation
  • Sachdeva KS; Central TB Division, Government of India, New Delhi, India.
  • Raizada N; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
  • Sreenivas A; World Health Organization, India Country Office, New Delhi, India.
  • Van't Hoog AH; Department of Global Health, Academic Medical Center and Amsterdam Institute of Global Health and Development, Amsterdam, The Netherlands.
  • van den Hof S; Department of Global Health, Academic Medical Center and Amsterdam Institute of Global Health and Development, Amsterdam, The Netherlands; KNCV Tuberculosis Foundation, The Hague, The Netherlands.
  • Dewan PK; World Health Organization, India Country Office, New Delhi, India.
  • Thakur R; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
  • Gupta RS; Central TB Division, Government of India, New Delhi, India.
  • Kulsange S; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
  • Vadera B; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
  • Babre A; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
  • Gray C; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
  • Parmar M; World Health Organization, India Country Office, New Delhi, India.
  • Ghedia M; Central TB Division, Government of India, New Delhi, India.
  • Ramachandran R; World Health Organization, India Country Office, New Delhi, India.
  • Alavadi U; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
  • Arinaminpathy N; Department of Infectious Disease Epidemiology, School of Public Health, Imperial College, London, United Kingdom.
  • Denkinger C; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
  • Boehme C; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
  • Paramasivan CN; Foundation for Innovative New Diagnostics, Geneva, Switzerland.
PLoS One ; 10(5): e0126065, 2015.
Article in En | MEDLINE | ID: mdl-25996389
BACKGROUND: Xpert MTB/RIF, the first automated molecular test for tuberculosis, is transforming the diagnostic landscape in high-burden settings. This study assessed the impact of up-front Xpert MTB/RIF testing on detection of pulmonary tuberculosis (PTB) and rifampicin-resistant PTB (DR-TB) cases in India. METHODS: This demonstration study was implemented in 18 sub-district level TB programme units (TUs) in India in diverse geographic and demographic settings covering a population of 8.8 million. A baseline phase in 14 TUs captured programmatic baseline data, and an intervention phase in 18 TUs had Xpert MTB/RIF offered to all presumptive TB patients. We estimated changes in detection of TB and DR-TB, the former using binomial regression models to adjust for clustering and covariates. RESULTS: In the 14 study TUs, which participated in both phases, 10,675 and 70,556 presumptive TB patients were enrolled in the baseline and intervention phase, respectively, and 1,532 (14.4%) and 14,299 (20.3%) bacteriologically confirmed PTB cases were detected. The implementation of Xpert MTB/RIF was associated with increases in both notification rates of bacteriologically confirmed TB cases (adjusted incidence rate ratio [aIRR] 1.39; CI 1.18-1.64), and proportion of bacteriological confirmed TB cases among presumptive TB cases (adjusted risk ratio (aRR) 1.33; CI 1.6-1.52). Compared with the baseline strategy of selective drug-susceptibility testing only for PTB cases at high risk of drug-resistant TB, Xpert MTB/RIF implementation increased rifampicin resistant TB case detection by over fivefold. Among, 2765 rifampicin resistance cases detected, 1055 were retested with conventional drug susceptibility testing (DST). Positive predictive value (PPV) of rifampicin resistance detected by Xpert MTB/RIF was 94.7% (CI 91.3-98.1), in comparison to conventional DST. CONCLUSION: Introduction of Xpert MTB/RIF as initial diagnostic test for TB in public health facilities significantly increased case-notification rates of all bacteriologically confirmed TB by 39% and rifampicin-resistant TB case notification by fivefold.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis, Pulmonary / Tuberculosis, Multidrug-Resistant / Molecular Diagnostic Techniques / Public Health Surveillance Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans / Male Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2015 Type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis, Pulmonary / Tuberculosis, Multidrug-Resistant / Molecular Diagnostic Techniques / Public Health Surveillance Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans / Male Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2015 Type: Article Affiliation country: India