Phenotypic detection of multi-drug and extensively drug resistant Mycobacterium tuberculosis among tuberculosis patients in Kaduna State, North West Nigeria

Background: Tuberculosis (TB) is one of the leading infectious diseases that cause death worldwide; the emergence of drug resistant mycobacterium tuberculosis is of great concern for TB control programme in Nigeria. Aim and objective: To detect multi-drug and extensively drug resistant mycobacterium...

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Main Authors: Kasimu Mamuda, Aliyu Sani, Steven Olonitola, Opaluwa Saraja
Format: Article
Language:English
Published: Zagazig University, Faculty of Medicine 2024-02-01
Series:Microbes and Infectious Diseases
Subjects:
Online Access:https://mid.journals.ekb.eg/article_307209_fbd9e49ac09b52ec0d090926bed5a64d.pdf
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author Kasimu Mamuda
Aliyu Sani
Steven Olonitola
Opaluwa Saraja
author_facet Kasimu Mamuda
Aliyu Sani
Steven Olonitola
Opaluwa Saraja
author_sort Kasimu Mamuda
collection DOAJ
description Background: Tuberculosis (TB) is one of the leading infectious diseases that cause death worldwide; the emergence of drug resistant mycobacterium tuberculosis is of great concern for TB control programme in Nigeria. Aim and objective: To detect multi-drug and extensively drug resistant mycobacterium tuberculosis among tuberculosis patients in Kaduna State North west Nigeria. Study design: This was a cross sectional study among tuberculosis patients attending directly observed treatment short course (DOTS) clinics in the three (3) senatorial districts of Kaduna State, Nigeria. Materials and methods: A total of 360 presumptive drug resistant tuberculosis patients’ samples were collected and decontaminated using modified Petroff method (NaOH-Na-citrate-NALC) from August 2018 to December 2020. Drug susceptibility testing was performed on first- and second-line anti-tuberculosis drugs for the 305 confirmed MTBC isolates using Lowenstein Jensen (LJ) proportion method. Results: A total of 67(21.8%) isolates were pan-susceptible, 176(57.5%) isolates were MDR-TB, rifampicin and isoniazid mono-resistant were 46(15.1%) and 17(5.6%) respectively. For the second line drugs, a total of 271(80.22%) isolates were found to be pan-susceptible and 35(19.88%) isolates were pre-extensively drug resistant TB. Conclusions: These findings established higher prevalence of MDR-TB and pre-extensively resistant TB in Kaduna state.
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spelling doaj.art-617118565dfb4205b3bd24ba66597c892024-02-10T21:57:30ZengZagazig University, Faculty of MedicineMicrobes and Infectious Diseases2682-41322682-41402024-02-015114815410.21608/mid.2023.219742.1552307209Phenotypic detection of multi-drug and extensively drug resistant Mycobacterium tuberculosis among tuberculosis patients in Kaduna State, North West NigeriaKasimu Mamuda0Aliyu Sani1Steven Olonitola2Opaluwa Saraja3Department of Microbiology, Faculty of Life Sciences, Ahmadu Bello University, Zaria, NigeriaDepartment of Microbiology, Faculty of Life Sciences, Ahmadu Bello University, Zaria, NigeriaDepartment of Microbiology, Faculty of Life Sciences, Ahmadu Bello University, Zaria, NigeriaDepartment of Microbiology, Ahmadu Bello University Teaching Hospital, Zaria, NigeriaBackground: Tuberculosis (TB) is one of the leading infectious diseases that cause death worldwide; the emergence of drug resistant mycobacterium tuberculosis is of great concern for TB control programme in Nigeria. Aim and objective: To detect multi-drug and extensively drug resistant mycobacterium tuberculosis among tuberculosis patients in Kaduna State North west Nigeria. Study design: This was a cross sectional study among tuberculosis patients attending directly observed treatment short course (DOTS) clinics in the three (3) senatorial districts of Kaduna State, Nigeria. Materials and methods: A total of 360 presumptive drug resistant tuberculosis patients’ samples were collected and decontaminated using modified Petroff method (NaOH-Na-citrate-NALC) from August 2018 to December 2020. Drug susceptibility testing was performed on first- and second-line anti-tuberculosis drugs for the 305 confirmed MTBC isolates using Lowenstein Jensen (LJ) proportion method. Results: A total of 67(21.8%) isolates were pan-susceptible, 176(57.5%) isolates were MDR-TB, rifampicin and isoniazid mono-resistant were 46(15.1%) and 17(5.6%) respectively. For the second line drugs, a total of 271(80.22%) isolates were found to be pan-susceptible and 35(19.88%) isolates were pre-extensively drug resistant TB. Conclusions: These findings established higher prevalence of MDR-TB and pre-extensively resistant TB in Kaduna state.https://mid.journals.ekb.eg/article_307209_fbd9e49ac09b52ec0d090926bed5a64d.pdftuberculosismdr-tbmtband ntm
spellingShingle Kasimu Mamuda
Aliyu Sani
Steven Olonitola
Opaluwa Saraja
Phenotypic detection of multi-drug and extensively drug resistant Mycobacterium tuberculosis among tuberculosis patients in Kaduna State, North West Nigeria
Microbes and Infectious Diseases
tuberculosis
mdr-tb
mtb
and ntm
title Phenotypic detection of multi-drug and extensively drug resistant Mycobacterium tuberculosis among tuberculosis patients in Kaduna State, North West Nigeria
title_full Phenotypic detection of multi-drug and extensively drug resistant Mycobacterium tuberculosis among tuberculosis patients in Kaduna State, North West Nigeria
title_fullStr Phenotypic detection of multi-drug and extensively drug resistant Mycobacterium tuberculosis among tuberculosis patients in Kaduna State, North West Nigeria
title_full_unstemmed Phenotypic detection of multi-drug and extensively drug resistant Mycobacterium tuberculosis among tuberculosis patients in Kaduna State, North West Nigeria
title_short Phenotypic detection of multi-drug and extensively drug resistant Mycobacterium tuberculosis among tuberculosis patients in Kaduna State, North West Nigeria
title_sort phenotypic detection of multi drug and extensively drug resistant mycobacterium tuberculosis among tuberculosis patients in kaduna state north west nigeria
topic tuberculosis
mdr-tb
mtb
and ntm
url https://mid.journals.ekb.eg/article_307209_fbd9e49ac09b52ec0d090926bed5a64d.pdf
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