Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya.
OBJECTIVE:To classify the prevalence of multi-drug resistant tuberculosis (MDR-TB) in two different geographic settings in western Kenya using the Lot Quality Assurance Sampling (LQAS) methodology. DESIGN:The prevalence of drug resistance was classified among treatment-naïve smear positive TB patien...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4864281?pdf=render |
| _version_ | 1828299099302002688 |
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| author | Julia Jezmir Ted Cohen Matteo Zignol Edwin Nyakan Bethany L Hedt-Gauthier Adrian Gardner Lydia Kamle Wilfred Injera E Jane Carter |
| author_facet | Julia Jezmir Ted Cohen Matteo Zignol Edwin Nyakan Bethany L Hedt-Gauthier Adrian Gardner Lydia Kamle Wilfred Injera E Jane Carter |
| author_sort | Julia Jezmir |
| collection | DOAJ |
| description | OBJECTIVE:To classify the prevalence of multi-drug resistant tuberculosis (MDR-TB) in two different geographic settings in western Kenya using the Lot Quality Assurance Sampling (LQAS) methodology. DESIGN:The prevalence of drug resistance was classified among treatment-naïve smear positive TB patients in two settings, one rural and one urban. These regions were classified as having high or low prevalence of MDR-TB according to a static, two-way LQAS sampling plan selected to classify high resistance regions at greater than 5% resistance and low resistance regions at less than 1% resistance. RESULTS:This study classified both the urban and rural settings as having low levels of TB drug resistance. Out of the 105 patients screened in each setting, two patients were diagnosed with MDR-TB in the urban setting and one patient was diagnosed with MDR-TB in the rural setting. An additional 27 patients were diagnosed with a variety of mono- and poly- resistant strains. CONCLUSION:Further drug resistance surveillance using LQAS may help identify the levels and geographical distribution of drug resistance in Kenya and may have applications in other countries in the African Region facing similar resource constraints. |
| first_indexed | 2024-04-13T12:49:52Z |
| format | Article |
| id | doaj.art-079fb025d1204d03be66a9049f8903bf |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T12:49:52Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-079fb025d1204d03be66a9049f8903bf2022-12-22T02:46:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01115e015414210.1371/journal.pone.0154142Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya.Julia JezmirTed CohenMatteo ZignolEdwin NyakanBethany L Hedt-GauthierAdrian GardnerLydia KamleWilfred InjeraE Jane CarterOBJECTIVE:To classify the prevalence of multi-drug resistant tuberculosis (MDR-TB) in two different geographic settings in western Kenya using the Lot Quality Assurance Sampling (LQAS) methodology. DESIGN:The prevalence of drug resistance was classified among treatment-naïve smear positive TB patients in two settings, one rural and one urban. These regions were classified as having high or low prevalence of MDR-TB according to a static, two-way LQAS sampling plan selected to classify high resistance regions at greater than 5% resistance and low resistance regions at less than 1% resistance. RESULTS:This study classified both the urban and rural settings as having low levels of TB drug resistance. Out of the 105 patients screened in each setting, two patients were diagnosed with MDR-TB in the urban setting and one patient was diagnosed with MDR-TB in the rural setting. An additional 27 patients were diagnosed with a variety of mono- and poly- resistant strains. CONCLUSION:Further drug resistance surveillance using LQAS may help identify the levels and geographical distribution of drug resistance in Kenya and may have applications in other countries in the African Region facing similar resource constraints.http://europepmc.org/articles/PMC4864281?pdf=render |
| spellingShingle | Julia Jezmir Ted Cohen Matteo Zignol Edwin Nyakan Bethany L Hedt-Gauthier Adrian Gardner Lydia Kamle Wilfred Injera E Jane Carter Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya. PLoS ONE |
| title | Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya. |
| title_full | Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya. |
| title_fullStr | Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya. |
| title_full_unstemmed | Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya. |
| title_short | Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya. |
| title_sort | use of lot quality assurance sampling to ascertain levels of drug resistant tuberculosis in western kenya |
| url | http://europepmc.org/articles/PMC4864281?pdf=render |
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