Tuberculosis (TB) remains a substantial global health challenge, particularly in Nigeria, which has the highest TB incidence in Africa, with approximately 590,000 new cases annually. Multidrug-resistant TB (MDR-TB) complicates treatment and control efforts, necessitating a deeper understanding of drug resistance patterns. This study used a descriptive cross-sectional design to investigate resistance to first- and second-line anti-TB drugs among TB patients in Kwara State, Nigeria. A multi-stage sampling technique was used to recruit 272 participants from selected Local Government Areas. Data collection included questionnaires and laboratory testing using the Hain Line Probe Assay (LPA) and GeneXpert MTB/Rif system. Results showed that age was a statistically significant factor, with resistance rates notably higher among younger individuals aged 20-29 years (p = 0.044), while no significant associations were found for gender (p = 0.166), ethnicity (p = 0.984 for first-line drugs; p = 0.601 for second-line), or educational level (p = 0.131 for first-line; p = 0.260 for second-line). Notably, 84.7% of participants who adhered to Directly Observed Treatment Short-course (DOTS) were sensitive to anti-TB drugs, but adherence alone did not exhibit a statistically significant association with resistance (p = 0.278), questioning assumptions about DOTS effectiveness in this context. Alcohol consumption emerged as a significant predictor of drug resistance (p = 0.0423), with patients consuming alcohol being six times more likely to develop resistance (OR = 6.025, 95% CI = 4.950 - 13.632) than non-drinkers, underscoring the need to address alcohol-related non-adherence to improve outcomes. Conversely, smoking, incarceration, and contact with TB patients showed no significant association with resistance, challenging global assumptions about these risk factors in the Nigerian context. This study highlights the complex nature of TB drug resistance, influenced by socio-demographic and behavioral factors unique to local contexts. The absence of statistically significant correlations for several known risk factors, such as smoking (p = 0.761) and prior TB contact (p = 0.2165), suggests that interventions in Nigeria should be localized and tailored to specific populations rather than relying on generalized global models. Comprehensive strategies targeting alcohol use and younger age groups, alongside strengthened healthcare delivery, are essential to curbing the spread of drug-resistant TB strains in Nigeria.
Published in | International Journal of Infectious Diseases and Therapy (Volume 10, Issue 1) |
DOI | 10.11648/j.ijidt.20251001.12 |
Page(s) | 11-28 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Drug Resistance, Tuberculosis (TB), Adherence to Treatment, Socio-Demographic Factors, Multidrug-Resistant Tuberculosis (MDR-TB), Alcohol Consumption
[1] | World Health Organization (WHO). Global Tuberculosis Report. Geneva, Switzerland. 2018. |
[2] | Ahmad S, Mokaddas E. Trends in the diagnosis and treatment of drug-susceptible and drug-resistant tuberculosis. J Infect Public Health. 2014; 7(2): 75-91. |
[3] | Onyedum CC, Alobu I, Ukwaja KN. Prevalence of drug-resistant tuberculosis in Nigeria: A systematic review and meta-analysis. PLoS ONE. 2017; 12(7): e0180996. |
[4] | Pokam BT, Asuquo AE, Abia-Bassey LN, Idasa MB, Umoh NO, Eko FO. Multidrug resistance and demography of newly diagnosed tuberculosis patients in Cross River State, Nigeria. Int J Mycobacteriol. 2013; 2(2): 89-93. |
[5] | Federal Ministry of Health. Tuberculosis, Leprosy and Buruli Ulcer Management and Control Guidelines. 2014. |
[6] |
World Health Organization (WHO). Global Tuberculosis Control: WHO Report. Geneva, Switzerland. 2016.
https://www.who.int/teams/global-tuberculosis-programme/tb-reports |
[7] | Ogbo FA, Ogeleka P, Okoro A, Olusanya BO, Olusanya J, Ifegwu IK et al. Tuberculosis disease burden and attributable risk factors in Nigeria, 1990–2016. Trop Med Health. 2018; 46: 34. |
[8] | Adisa R, Ayandokun TT, Ige OM. Knowledge about tuberculosis, treatment adherence and outcome among ambulatory patients with drug-sensitive tuberculosis in two directly-observed treatment centres in Southwest Nigeria. BMC Public Health. 2021; 21: 677. |
[9] | Kooffreh ME, Offor JB, Ekerette EE, Udom UI. Prevalence of tuberculosis in Calabar, Nigeria: A case study of patients attending the Outpatients Department of Dr. Lawrence Henshaw Memorial Hospital, Calabar. 2016; 3(5): 130-133. |
[10] | Patle R, Khakse G. Knowledge about tuberculosis and multi-drug resistant tuberculosis among interns in India. Natl J Community Med. 2014; 5(1): 51-53. |
[11] | Lawson L, Okobi MI, Idiong D, Olajide I, Emenyonu N. Pilot study on multidrug-resistant tuberculosis in Nigeria. Ann Afr Med. 2010; 9(3): 184-187. |
[12] | Oladimeji O, Atiba BP, Anyiam FE, Odugbemi B, Afolaranmi T, Zoakah A, Horsburgh CR. Gender and drug-resistant tuberculosis in Nigeria. Trop Med Infect Dis. 2023; 8(2): 104. |
[13] | Nachega JB, Chaisson RE. Tuberculosis drug resistance: A global threat. Clin Infect Dis. 2013; 36(S1): S24-30. |
[14] | Shittu OR, Akanbi AJ II, Sanni AM, Alabi KM, Odeigah L, Sule GA et al. Rifampicin-resistant tuberculosis in a secondary health institution in Nigeria, West Africa. J Infect Dis Ther. 2014; 2: 139-146. |
[15] | Gaude G, Kumar P. Risk factors and drug-resistance patterns among pulmonary tuberculosis patients in Northern Karnataka region, India. Niger Med J. 2014; 55(2): 137-144. |
[16] | Olarewaju S, Oladimeji O, Folorunso E, Akintunde B, Temitayo-Oboh A, Saliu A, Oluwatoyin A. Treatment outcome of tuberculosis patients registered at DOTS Centre in Ogbomosho, Southwestern Nigeria: A four-year retrospective study. Tuberc Res Treat. 2014; 2014: 201705. |
[17] | Ahmed N, Javaid A, Syed A, Basit A, Afsar K, Ammar J et al. Effects of multidrug-resistant tuberculosis treatment on patients' health-related quality of life: Results from a follow-up study. PLoS ONE. 2016; 11(7): e0159560. |
[18] | GBD Tuberculosis Collaborators. The global burden of tuberculosis: Results from the Global Burden of Disease Study 2015. Lancet Infect Dis. 2017; 3099(17): 30692-30698. |
[19] | Ugwu KO, Onah IS, Mbah GC, Ezeonu IM. Rifampicin resistance patterns and dynamics of tuberculosis and drug-resistant tuberculosis in Enugu, Southeastern Nigeria. J Infect Dev Ctries. 2020; 14: 1011-1018. |
[20] | Berhanu S, Alemayehu W, Shiferaw B, Abraham A. Prevalence and drug-resistance patterns of Mycobacterium tuberculosis among new smear-positive pulmonary tuberculosis patients in Eastern Ethiopia. Tuberc Res Treat. 2014; 2014: 753492. |
[21] | World Health Organization (WHO). Guidelines for treatment of drug-susceptible tuberculosis and patient care, 2017 update. Geneva. 2017. |
[22] | Honda JR, Virdi R, Chan ED. Global environmental nontuberculosis mycobacteria and their contemporaneous man-made and natural niches. Front Microbiol. 2018; 9: 2029. |
[23] | Xi Y, Zhang W, Qiao RJ, Tang J. Risk factors for multidrug-resistant tuberculosis: A worldwide systematic review and meta-analysis. PLoS ONE. 2022; 17(6): e0270003. |
[24] | Chakraborty S, Rhee KY. Tuberculosis drug development: History and evolution of the mechanism-based paradigm. Cold Spring Harb Perspect Med. 2015; 5(8): 15-22. |
[25] | Ajema D, Shibru T, Endalew T, et al. Level of and associated factors for non-adherence to anti-tuberculosis patients in Gamo Gofa zone, Southern Ethiopia: Cross-sectional study. BMC Public Health. 2020; 20: 1705. |
[26] | Cohen KA, Bishai WR, Pym AS. Molecular basis of drug resistance in Mycobacterium tuberculosis. Microbiol Spectr. 2014; 2(3): MGM2-0036-2013. |
[27] | Rikoto JA. Pattern of first-line anti-tuberculosis drug resistance and associated factors in patients attending National Tuberculosis and Leprosy Training Centre and Referral Hospital Zaria. 2015. |
[28] | Worku G, Gumi B, Girma M, Mohammedbirhan B, Diriba G, Seid G, et al. Drug sensitivity of clinical isolates of Mycobacterium tuberculosis and its association with bacterial genotype in the Somali region, Eastern Ethiopia. Front Public Health. 2022; 10: 942618. |
[29] | Balogun M, Sekoni A, Meloni ST, Odukoya O, Onajole A, Longe-Peters O et al. Trained community volunteers improve tuberculosis knowledge and attitudes among adults in a peri-urban community in Southwest Nigeria. Am J Trop Med Hyg. 2015; 92(3): 625-632. |
[30] | Workicho A, Kassahun W, Alemseged F. Risk factors for multidrug-resistant tuberculosis among tuberculosis patients: A case-control study. Infect Drug Resist. 2017; 10: 91-96. |
APA Style
Muhammed, O. R., Popoola, I. O., Uthman, M. M. B., Daniel, E. O., Bello, A. M., et al. (2025). Exploring the Pattern of Resistance to Anti-Tuberculosis Drugs Among Tuberculosis Patients in Kwara State, Nigeria. International Journal of Infectious Diseases and Therapy, 10(1), 11-28. https://doi.org/10.11648/j.ijidt.20251001.12
ACS Style
Muhammed, O. R.; Popoola, I. O.; Uthman, M. M. B.; Daniel, E. O.; Bello, A. M., et al. Exploring the Pattern of Resistance to Anti-Tuberculosis Drugs Among Tuberculosis Patients in Kwara State, Nigeria. Int. J. Infect. Dis. Ther. 2025, 10(1), 11-28. doi: 10.11648/j.ijidt.20251001.12
@article{10.11648/j.ijidt.20251001.12, author = {Oyeniyi Rasheed Muhammed and Israel Olukayode Popoola and Muhammed Mubashir Babatunde Uthman and Ebenezer Obi Daniel and Ahmed Mamuda Bello and Taiwo Aderemi Popoola and Michael Avwerhota and Adebanke Adetutu Ogun and Celestine Emeka Ekwuluo and Aremu Samuel Danladi and Michael Olabode Tomori and Adedamola Amos Ogundeji and Jacob Adebowale Adewole}, title = {Exploring the Pattern of Resistance to Anti-Tuberculosis Drugs Among Tuberculosis Patients in Kwara State, Nigeria }, journal = {International Journal of Infectious Diseases and Therapy}, volume = {10}, number = {1}, pages = {11-28}, doi = {10.11648/j.ijidt.20251001.12}, url = {https://doi.org/10.11648/j.ijidt.20251001.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijidt.20251001.12}, abstract = {Tuberculosis (TB) remains a substantial global health challenge, particularly in Nigeria, which has the highest TB incidence in Africa, with approximately 590,000 new cases annually. Multidrug-resistant TB (MDR-TB) complicates treatment and control efforts, necessitating a deeper understanding of drug resistance patterns. This study used a descriptive cross-sectional design to investigate resistance to first- and second-line anti-TB drugs among TB patients in Kwara State, Nigeria. A multi-stage sampling technique was used to recruit 272 participants from selected Local Government Areas. Data collection included questionnaires and laboratory testing using the Hain Line Probe Assay (LPA) and GeneXpert MTB/Rif system. Results showed that age was a statistically significant factor, with resistance rates notably higher among younger individuals aged 20-29 years (p = 0.044), while no significant associations were found for gender (p = 0.166), ethnicity (p = 0.984 for first-line drugs; p = 0.601 for second-line), or educational level (p = 0.131 for first-line; p = 0.260 for second-line). Notably, 84.7% of participants who adhered to Directly Observed Treatment Short-course (DOTS) were sensitive to anti-TB drugs, but adherence alone did not exhibit a statistically significant association with resistance (p = 0.278), questioning assumptions about DOTS effectiveness in this context. Alcohol consumption emerged as a significant predictor of drug resistance (p = 0.0423), with patients consuming alcohol being six times more likely to develop resistance (OR = 6.025, 95% CI = 4.950 - 13.632) than non-drinkers, underscoring the need to address alcohol-related non-adherence to improve outcomes. Conversely, smoking, incarceration, and contact with TB patients showed no significant association with resistance, challenging global assumptions about these risk factors in the Nigerian context. This study highlights the complex nature of TB drug resistance, influenced by socio-demographic and behavioral factors unique to local contexts. The absence of statistically significant correlations for several known risk factors, such as smoking (p = 0.761) and prior TB contact (p = 0.2165), suggests that interventions in Nigeria should be localized and tailored to specific populations rather than relying on generalized global models. Comprehensive strategies targeting alcohol use and younger age groups, alongside strengthened healthcare delivery, are essential to curbing the spread of drug-resistant TB strains in Nigeria. }, year = {2025} }
TY - JOUR T1 - Exploring the Pattern of Resistance to Anti-Tuberculosis Drugs Among Tuberculosis Patients in Kwara State, Nigeria AU - Oyeniyi Rasheed Muhammed AU - Israel Olukayode Popoola AU - Muhammed Mubashir Babatunde Uthman AU - Ebenezer Obi Daniel AU - Ahmed Mamuda Bello AU - Taiwo Aderemi Popoola AU - Michael Avwerhota AU - Adebanke Adetutu Ogun AU - Celestine Emeka Ekwuluo AU - Aremu Samuel Danladi AU - Michael Olabode Tomori AU - Adedamola Amos Ogundeji AU - Jacob Adebowale Adewole Y1 - 2025/01/24 PY - 2025 N1 - https://doi.org/10.11648/j.ijidt.20251001.12 DO - 10.11648/j.ijidt.20251001.12 T2 - International Journal of Infectious Diseases and Therapy JF - International Journal of Infectious Diseases and Therapy JO - International Journal of Infectious Diseases and Therapy SP - 11 EP - 28 PB - Science Publishing Group SN - 2578-966X UR - https://doi.org/10.11648/j.ijidt.20251001.12 AB - Tuberculosis (TB) remains a substantial global health challenge, particularly in Nigeria, which has the highest TB incidence in Africa, with approximately 590,000 new cases annually. Multidrug-resistant TB (MDR-TB) complicates treatment and control efforts, necessitating a deeper understanding of drug resistance patterns. This study used a descriptive cross-sectional design to investigate resistance to first- and second-line anti-TB drugs among TB patients in Kwara State, Nigeria. A multi-stage sampling technique was used to recruit 272 participants from selected Local Government Areas. Data collection included questionnaires and laboratory testing using the Hain Line Probe Assay (LPA) and GeneXpert MTB/Rif system. Results showed that age was a statistically significant factor, with resistance rates notably higher among younger individuals aged 20-29 years (p = 0.044), while no significant associations were found for gender (p = 0.166), ethnicity (p = 0.984 for first-line drugs; p = 0.601 for second-line), or educational level (p = 0.131 for first-line; p = 0.260 for second-line). Notably, 84.7% of participants who adhered to Directly Observed Treatment Short-course (DOTS) were sensitive to anti-TB drugs, but adherence alone did not exhibit a statistically significant association with resistance (p = 0.278), questioning assumptions about DOTS effectiveness in this context. Alcohol consumption emerged as a significant predictor of drug resistance (p = 0.0423), with patients consuming alcohol being six times more likely to develop resistance (OR = 6.025, 95% CI = 4.950 - 13.632) than non-drinkers, underscoring the need to address alcohol-related non-adherence to improve outcomes. Conversely, smoking, incarceration, and contact with TB patients showed no significant association with resistance, challenging global assumptions about these risk factors in the Nigerian context. This study highlights the complex nature of TB drug resistance, influenced by socio-demographic and behavioral factors unique to local contexts. The absence of statistically significant correlations for several known risk factors, such as smoking (p = 0.761) and prior TB contact (p = 0.2165), suggests that interventions in Nigeria should be localized and tailored to specific populations rather than relying on generalized global models. Comprehensive strategies targeting alcohol use and younger age groups, alongside strengthened healthcare delivery, are essential to curbing the spread of drug-resistant TB strains in Nigeria. VL - 10 IS - 1 ER -