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Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing?
BACKGROUND: As per national policy, all diagnosed tuberculosis patients in India are to be tested using Xpert(®) MTB/RIF assay at the district level to diagnose rifampicin resistance. Regardless of the result, samples are transported to the reference laboratories for further testing: first-line Line...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787455/ https://www.ncbi.nlm.nih.gov/pubmed/33406153 http://dx.doi.org/10.1371/journal.pone.0244785 |
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author | Shankar S., Uma Kumar, Ajay M. V. Venkateshmurthy, Nikhil Srinivasapura Nair, Divya Kingsbury, Reena R., Padmesha Velu, Magesh P., Suganthi Gupta, Joydev Ahmed, Jameel G., Puttaswamy Hiremath, Somashekarayya Jaiswal, Ravi K. Kokkad, Rony Jose N., Somashekar |
author_facet | Shankar S., Uma Kumar, Ajay M. V. Venkateshmurthy, Nikhil Srinivasapura Nair, Divya Kingsbury, Reena R., Padmesha Velu, Magesh P., Suganthi Gupta, Joydev Ahmed, Jameel G., Puttaswamy Hiremath, Somashekarayya Jaiswal, Ravi K. Kokkad, Rony Jose N., Somashekar |
author_sort | Shankar S., Uma |
collection | PubMed |
description | BACKGROUND: As per national policy, all diagnosed tuberculosis patients in India are to be tested using Xpert(®) MTB/RIF assay at the district level to diagnose rifampicin resistance. Regardless of the result, samples are transported to the reference laboratories for further testing: first-line Line Probe Assay (FL-LPA) for rifampicin-sensitive samples and second-line LPA(SL-LPA) for rifampicin-resistant samples. Based on the results, samples undergo culture and phenotypic drug susceptibility testing. We assessed among patients diagnosed with tuberculosis at 13 selected Xpert laboratories of Karnataka state, India, i) the proportion whose samples reached the reference laboratories and among them, proportion who completed the diagnostic algorithm ii) factors associated with non-reaching and non-completion and iii) the delays involved. METHODS: This was a cohort study involving review of programme records. For each TB patient diagnosed between 1(st) July and 31(st) August 2018 at the Xpert laboratory, we tracked the laboratory register at the linked reference laboratory until 30(th) September (censor date) using Nikshay ID (a unique patient identifier), phone number, name, age and sex. RESULTS: Of 1660 TB patients, 1208(73%) samples reached the reference laboratories and among those reached, 1124(93%) completed the algorithm. Of 1590 rifampicin-sensitive samples, 1170(74%) reached and 1104(94%) completed the algorithm. Of 64 rifampicin-resistant samples, only 35(55%) reached and 17(49%) completed the algorithm. Samples from rifampicin-resistant TB, extra-pulmonary TB and two districts were less likely to reach the reference laboratory. Non-completion was more likely among rifampicin-resistant TB and sputum-negative samples. The median time for conducting and reporting results of Xpert® MTB/RIF was one day, of FL-LPA 5 days and of SL-LPA16 days. CONCLUSION: These findings are encouraging given the complexity of the algorithm. High non-reaching and non-completion rates in rifampicin-resistant patients is a major concern. Future research should focus on understanding the reasons for the gaps identified using qualitative research methods. |
format | Online Article Text |
id | pubmed-7787455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-77874552021-01-14 Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing? Shankar S., Uma Kumar, Ajay M. V. Venkateshmurthy, Nikhil Srinivasapura Nair, Divya Kingsbury, Reena R., Padmesha Velu, Magesh P., Suganthi Gupta, Joydev Ahmed, Jameel G., Puttaswamy Hiremath, Somashekarayya Jaiswal, Ravi K. Kokkad, Rony Jose N., Somashekar PLoS One Research Article BACKGROUND: As per national policy, all diagnosed tuberculosis patients in India are to be tested using Xpert(®) MTB/RIF assay at the district level to diagnose rifampicin resistance. Regardless of the result, samples are transported to the reference laboratories for further testing: first-line Line Probe Assay (FL-LPA) for rifampicin-sensitive samples and second-line LPA(SL-LPA) for rifampicin-resistant samples. Based on the results, samples undergo culture and phenotypic drug susceptibility testing. We assessed among patients diagnosed with tuberculosis at 13 selected Xpert laboratories of Karnataka state, India, i) the proportion whose samples reached the reference laboratories and among them, proportion who completed the diagnostic algorithm ii) factors associated with non-reaching and non-completion and iii) the delays involved. METHODS: This was a cohort study involving review of programme records. For each TB patient diagnosed between 1(st) July and 31(st) August 2018 at the Xpert laboratory, we tracked the laboratory register at the linked reference laboratory until 30(th) September (censor date) using Nikshay ID (a unique patient identifier), phone number, name, age and sex. RESULTS: Of 1660 TB patients, 1208(73%) samples reached the reference laboratories and among those reached, 1124(93%) completed the algorithm. Of 1590 rifampicin-sensitive samples, 1170(74%) reached and 1104(94%) completed the algorithm. Of 64 rifampicin-resistant samples, only 35(55%) reached and 17(49%) completed the algorithm. Samples from rifampicin-resistant TB, extra-pulmonary TB and two districts were less likely to reach the reference laboratory. Non-completion was more likely among rifampicin-resistant TB and sputum-negative samples. The median time for conducting and reporting results of Xpert® MTB/RIF was one day, of FL-LPA 5 days and of SL-LPA16 days. CONCLUSION: These findings are encouraging given the complexity of the algorithm. High non-reaching and non-completion rates in rifampicin-resistant patients is a major concern. Future research should focus on understanding the reasons for the gaps identified using qualitative research methods. Public Library of Science 2021-01-06 /pmc/articles/PMC7787455/ /pubmed/33406153 http://dx.doi.org/10.1371/journal.pone.0244785 Text en © 2021 Shankar S. et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Shankar S., Uma Kumar, Ajay M. V. Venkateshmurthy, Nikhil Srinivasapura Nair, Divya Kingsbury, Reena R., Padmesha Velu, Magesh P., Suganthi Gupta, Joydev Ahmed, Jameel G., Puttaswamy Hiremath, Somashekarayya Jaiswal, Ravi K. Kokkad, Rony Jose N., Somashekar Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing? |
title | Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing? |
title_full | Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing? |
title_fullStr | Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing? |
title_full_unstemmed | Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing? |
title_short | Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing? |
title_sort | implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in karnataka state, india: how well are we doing? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787455/ https://www.ncbi.nlm.nih.gov/pubmed/33406153 http://dx.doi.org/10.1371/journal.pone.0244785 |
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