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The Application of GeneXpert MTB/RIF for Smear-Negative TB Diagnosis as a Fee-Paying Service at a South Asian General Hospital

The GeneXpert MTB/RIF assay (Xpert) is a novel automated diagnostic tool for tuberculosis but its optimal placement in the healthcare system has not been determined. The objective of this study was to determine the possibility of additional case detection for pulmonary tuberculosis (PTB) by offering...

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Autores principales: Shrestha, Poojan, Arjyal, Amit, Caws, Maxine, Prajapati, Krishna Govinda, Karkey, Abhilasha, Dongol, Sabina, Pathak, Saruna, Prajapati, Shanti, Basnyat, Buddha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4407628/
https://www.ncbi.nlm.nih.gov/pubmed/25949825
http://dx.doi.org/10.1155/2015/102430
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author Shrestha, Poojan
Arjyal, Amit
Caws, Maxine
Prajapati, Krishna Govinda
Karkey, Abhilasha
Dongol, Sabina
Pathak, Saruna
Prajapati, Shanti
Basnyat, Buddha
author_facet Shrestha, Poojan
Arjyal, Amit
Caws, Maxine
Prajapati, Krishna Govinda
Karkey, Abhilasha
Dongol, Sabina
Pathak, Saruna
Prajapati, Shanti
Basnyat, Buddha
author_sort Shrestha, Poojan
collection PubMed
description The GeneXpert MTB/RIF assay (Xpert) is a novel automated diagnostic tool for tuberculosis but its optimal placement in the healthcare system has not been determined. The objective of this study was to determine the possibility of additional case detection for pulmonary tuberculosis (PTB) by offering Xpert to smear-negative patients in a low-HIV burden setting with no Mycobacterium tuberculosis (M.tb.) culture facilities. Patients routinely presenting with symptoms suggestive of PTB with negative smears were offered single Xpert test on a fee-paying basis. Data were retrospectively reviewed to determine case detection in patients tested from February to December 2013. Symptoms associated with a positive test were analysed to determine if refinement of clinical criteria would reduce unnecessary testing. 258 smear-negative patients were included and M.tb. was detected in 55 (21.32%, n = 55/258). Using standard clinical assessment for selection, testing 5 patients detected one case of smear-negative PTB. These results demonstrate that fee-paying Xpert service in low-income setting can increase TB case confirmation substantially and further systematic studies of health economic implications should be conducted to determine optimal implementation models to increase access to Xpert in low- and middle-income countries.
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spelling pubmed-44076282015-05-06 The Application of GeneXpert MTB/RIF for Smear-Negative TB Diagnosis as a Fee-Paying Service at a South Asian General Hospital Shrestha, Poojan Arjyal, Amit Caws, Maxine Prajapati, Krishna Govinda Karkey, Abhilasha Dongol, Sabina Pathak, Saruna Prajapati, Shanti Basnyat, Buddha Tuberc Res Treat Research Article The GeneXpert MTB/RIF assay (Xpert) is a novel automated diagnostic tool for tuberculosis but its optimal placement in the healthcare system has not been determined. The objective of this study was to determine the possibility of additional case detection for pulmonary tuberculosis (PTB) by offering Xpert to smear-negative patients in a low-HIV burden setting with no Mycobacterium tuberculosis (M.tb.) culture facilities. Patients routinely presenting with symptoms suggestive of PTB with negative smears were offered single Xpert test on a fee-paying basis. Data were retrospectively reviewed to determine case detection in patients tested from February to December 2013. Symptoms associated with a positive test were analysed to determine if refinement of clinical criteria would reduce unnecessary testing. 258 smear-negative patients were included and M.tb. was detected in 55 (21.32%, n = 55/258). Using standard clinical assessment for selection, testing 5 patients detected one case of smear-negative PTB. These results demonstrate that fee-paying Xpert service in low-income setting can increase TB case confirmation substantially and further systematic studies of health economic implications should be conducted to determine optimal implementation models to increase access to Xpert in low- and middle-income countries. Hindawi Publishing Corporation 2015 2015-04-08 /pmc/articles/PMC4407628/ /pubmed/25949825 http://dx.doi.org/10.1155/2015/102430 Text en Copyright © 2015 Poojan Shrestha et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Shrestha, Poojan
Arjyal, Amit
Caws, Maxine
Prajapati, Krishna Govinda
Karkey, Abhilasha
Dongol, Sabina
Pathak, Saruna
Prajapati, Shanti
Basnyat, Buddha
The Application of GeneXpert MTB/RIF for Smear-Negative TB Diagnosis as a Fee-Paying Service at a South Asian General Hospital
title The Application of GeneXpert MTB/RIF for Smear-Negative TB Diagnosis as a Fee-Paying Service at a South Asian General Hospital
title_full The Application of GeneXpert MTB/RIF for Smear-Negative TB Diagnosis as a Fee-Paying Service at a South Asian General Hospital
title_fullStr The Application of GeneXpert MTB/RIF for Smear-Negative TB Diagnosis as a Fee-Paying Service at a South Asian General Hospital
title_full_unstemmed The Application of GeneXpert MTB/RIF for Smear-Negative TB Diagnosis as a Fee-Paying Service at a South Asian General Hospital
title_short The Application of GeneXpert MTB/RIF for Smear-Negative TB Diagnosis as a Fee-Paying Service at a South Asian General Hospital
title_sort application of genexpert mtb/rif for smear-negative tb diagnosis as a fee-paying service at a south asian general hospital
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4407628/
https://www.ncbi.nlm.nih.gov/pubmed/25949825
http://dx.doi.org/10.1155/2015/102430
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