|Year : 2017 | Volume
| Issue : 6 | Page : 161-166
Prevalence of rifampicin-resistant tuberculosis among patients previously treated for pulmonary tuberculosis in North-Western, Nigeria
Abayomi Fadeyi1, Olufemi O Desalu2, Chidi Ugwuoke1, Oji A Opanwa3, Charles Nwabuisi1, Alakija K Salami2
1 Department of Medical Microbiology and Parasitology, University of Ilorin, Ilorin, Kwara State, Nigeria
2 Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Kwara State, Nigeria
3 Department of Chest, Infectious Disease Hospital, Kano, Kano State, Nigeria
|Date of Web Publication||30-May-2019|
Department of Medical Microbiology and Parasitology, University of Ilorin, Ilorin, Kwara State
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background: Drug-resistant tuberculosis (TB) is a significant public health problem. Greater than 90% of rifampicin (RIF)-resistant isolates were also isoniazid resistant, and hence, rifampicin resistance (RR) is frequently used as a surrogate for multidrug-resistant TB. Setting: This study was conducted at Infectious Disease Hospital Kano in North-Western Nigeria. Objectives: The aim of this study was to determine the prevalence of RR among patients previously treated for pulmonary TB (PTB). Materials and Methods: A total of 120 patients previously treated for PTB with current clinical features of PTB were recruited into this study. Relevant clinical information were obtained using a questionnaire. The sputum was collected and analyzed by the Gene Xpert MTB/RIF® machine to detect RR tuberculosis infection and blood screened for HIV infection. Results: The mean (±standard deviation) age of the participants was 35.9 ± 14.3 years and they comprised 73 (60.8%) males and 47 (39.2%) females. HIV-seropositive rate was 11.7% among the participants. Of the 120 participants, PTB was detected in 35 (29.2%) of the participants by Gene Xpert MTB/RIF and 29 of them were cases of relapse. Five patients (4.2%) had RR tuberculosis and 80% of them were below the age of 45 years. Conclusion: The prevalence of RR is not high among previously treated PTB patients in this study when compared with other previous studies. This finding is a window for evaluating the efficacy of current interventions in the region and evidence for the consolidation of existing control policies.
Keywords: Drug resistance, multidrug-resistant tuberculosis, rifampicin, tuberculosis
|How to cite this article:|
Fadeyi A, Desalu OO, Ugwuoke C, Opanwa OA, Nwabuisi C, Salami AK. Prevalence of rifampicin-resistant tuberculosis among patients previously treated for pulmonary tuberculosis in North-Western, Nigeria. Niger Med J 2017;58:161-6
|How to cite this URL:|
Fadeyi A, Desalu OO, Ugwuoke C, Opanwa OA, Nwabuisi C, Salami AK. Prevalence of rifampicin-resistant tuberculosis among patients previously treated for pulmonary tuberculosis in North-Western, Nigeria. Niger Med J [serial online] 2017 [cited 2021 Oct 27];58:161-6. Available from: https://www.nigeriamedj.com/text.asp?2017/58/6/161/259374
| Introduction|| |
The increasing incidence of drug-resistant tuberculosis (DR-TB) is a notable global health challenge. TB drug resistance (TDR) types are mono-resistance, poly-resistance, multidrug resistance (MDR), extensively drug resistance (XDR), and rifampicin resistance (RR). MDR-TB is defined as a form of TB infection caused by Mycobacterium tuberculosis strains that are resistant to treatment with at least two of the most potent first-line anti-TB drugs: rifampicin (RIF) and isoniazid (INH).
Previous treatment for TB is the strongest risk factor for the development of MDR-TB, and this is partly due to acquired drug resistance., Acquired resistance emanates due to inappropriate chemotherapy regimens, inadequate or irregular drug supply, unsatisfactory patients compliance, lack of supervision of treatment, and the absence of infection control measures in hospitals and communities. Other identified risk factors include poor management of TB control programs, poverty, rapid population growth, and uncontrolled urbanization.
Recently, a new form of TB-drug resistance known as extensively drug resistance (XDR-TB) has been reported., It is a subset of MDR-TB with additional resistance to any of the fluoroquinolones (ciprofloxacin, ofloxacin, etc.) and one of the second-line injectable drugs, namely kanamycin, capreomycin, and amikacin. XDR-TB has been reported in 100 countries. On an average, an estimated 9.0% of people with MDR-TB have XDR-TB.4 Other descriptive terminologies used for resistant TB include, total anti-TDR-TB or super XDR. TDR-TB is defined as resistance to all first-line and second-line anti-TB drugs. The emergence of TDR-TB though well described is yet to be recognized.
RR is resistance to RIF detected using phenotypic or genotypic methods, with or without resistance to other anti-TB drugs. It includes any resistance to RIF, in the form of mono-resistance, poly-resistance, MDR, or XDR.
Rifampicin (RIF) is one of the most important anti-TB antibiotics; it exerts its bactericidal activity by inhibiting the early steps of gene transcription by binding to the β-subunit of RNA polymerase (rpo β) encoded by the rpo β gene. Its inclusion in the anti-TB regimen has shortened the duration of TB treatment. RR has been reported by previous studies to be a useful surrogate marker for the detection of MDR-TB., It had been estimated that >90.0% of RIF-resistant TB were also resistant to INH, making RIF-resistance a reliable indicator of MDR-TB., To this end, several genotypic methods for rapidly detecting RIF-resistance conferring mutations have been developed. Some of these methods include DNA sequencing, line probe assay, single-strand conformation polymorphism, DNA microarrays, RNA/RNA mismatch, molecular beacons, and most recently Xpert® MTB/RIF.,
TDR is not a new occurrence in Nigeria. It was described as early as 1976 by Fawcett in Zaria. Since then, there have been other reports of TDR in various parts of the country using mycobacterial culture and drug susceptibility test.,,,,, There is a paucity of data on the prevalence of TB-drug resistance among patients previously treated for the condition in North-western Nigeria. This work was, therefore, designed to determine the prevalence of RR-TB in pulmonary TB (PTB) patients with the previous history of anti-TB therapy and used it as a surrogate for MDR-TB infection.
| Materials and Methods|| |
This study was carried out at the Infectious Disease Hospital (IDH), Kano, the capital of Kano State, Northwestern, Nigeria between April and June 2015. IDH is a specialist and referral center for infectious diseases in Kano State and its environs.
This was a cross-sectional hospital-based study. Consenting patients who satisfied the inclusion criteria were recruited at the clinics. Inclusion criteria were clinical features of PTB, history of previous anti-TB therapy independent of the treatment outcome, and age ≥15 years.
We used the Fisher's formula to obtain our sample size, n = Z2p(1 − p)/w2 where, n = desired sample size, P (known prevalence from previous study) =0.072, Z (standard deviation [SD] at 95% confidence interval) =1.96, W (degree of accuracy) = 0.05, 1 – p = 0.928 n = 1.962 (0.072 [0.928]/0.052 ), n = 102.8.
Addition of 10% attrition from a piloted samples: 102.8 + 10.8 (10% of 102.8) n = 113.1. Therefore, a total of 120 patients were recruited for the study.
Consenting patients who satisfied the inclusion criteria were recruited by consecutive sampling as they presented to the clinics at IDH.
The sociodemographic and clinical information were obtained using a questionnaire, especially designed for this study by a trained social worker and who was monitored regularly to ensure quality control. The clinical information obtained from the participants includes reported symptoms and duration, previous treatment for TB, risk factors for TB, and HIV-SeroStatus.
Sputum collection and analysis
A total of 120 patients who satisfied the inclusion criteria were recruited for the study. One spot sputum specimen and 4.0 ml of venous blood specimen were collected from each of the participants. The sputum specimens obtained were analyzed using the Gene Xpert MTB/RIF® to detect M. tuberculosis infection and its susceptibility pattern to RIF. The blood specimens were used for HIV serology, and CD4 count estimation of the HIV-seropositive participants determine the prevalence of RR in HIV sero-negative and sero-positive participants.
Gene Xpert MTB/RIF® (Ceheid Inc., USA) system is a platform for rapid and simple to use nucleic acid amplification tests.
Principle of the test
The test is based on a real-time semi-nested PCR test principle which detects the presence of M. tuberculosis complex bacilli by using five molecular beacons probes which span the rpoB gene (gene that encodes the β-subunit of RNA polymerase) 81-bp RR-determining region, the test simultaneously determines susceptibility to RIF, which can be used as a surrogate marker for multidrug resistance. The probes can differentiate between the conserved wild-type sequence and mutations in the core region that are associated with RR. The results are interpreted by the Gene Xpert® from measured fluorescent signals and embedded calculation algorithms which will be displayed in the “View Results” window of the computer.
Methods of analysis
A volume of 1.0 ml of sputum sample was mixed with 2.0 ml of buffer to liquefy the sputum and was incubated at room temperature for 15 min inside a close tube. The closed tube was manually agitated twice during the 15 min' incubation. Thereafter, 2.0 ml of the diluted sample was transferred into the cartridge for ultrasonic lysis of the Mycobacteria to release target DNA. The cartridge was loaded into the Gene Xpert machine (Cepheid) to proceed with the rest of the protocol. After 1½ h, the comprehensive test result was read on a computer screen and was ready for printing.
Blood collection and CD4 estimation
The 4.0 ml of venous blood sample collected was dispensed in aliquots of 2.0 ml each into a plain and ethylenediaminetetraacetic acid bottle. The serum was extracted from the samples in the plain bottles and then used for HIV serology using a parallel algorithm protocol. The parallel algorithm protocol was achieved using Determine™ HIV-1/2 test kit, Uni-Gold™ Recombigen® HIV-1/2 test kit, and Stat Pak™ HIV-1/2 test kit. Determine™ HIV-1/2 test kit and Uni-Gold™ Recombigen® HIV-1/2 test kit were used as the first-line test kits, whereas Stat Pak™ HIV-1/2 test kit was used as a tie-breaker for discordant results.
All data generated from the study were analyzed using the IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp. (IBM SPSS, 2012). Frequency and mean with SDs were generated to examine the characteristics of the study population in relation to demographic variables. The Chi-square and Fisher's exact test were used to determine the association between RR and relevant variables and values of P < 0.05 was considered statistically significant.
Patients with a previous history of anti-TB therapy were those who had received >1 month of anti-TB drugs. They were categorized as follows:
- Relapse: Those cured previously of TB or completed treatment for TB and now having TB or TB symptoms
- Default: The patient whose treatment was interrupted for >2 consecutive months and now returned having TB or TB symptoms
- Failure: Patients with positive-TB sputum smear after 5 months or culture at 3 consecutive months of anti-TB therapy.
The respondents were grouped into different social classes using the Oyedeji's classification as follow:
- I: Senior public servants, professionals, managers, large-scale traders, businessmen and contractor, senior military officers
- II: Intermediate grade public servants, and senior school teachers, nonacademic professionals, for example, nurses, owners of medium-sized business, secretaries
- III: Nonmanual skilled workers including clerks, typists, telephone operators, junior school teachers, drivers, artisans
- IV: Petty traders, laborers, messengers, lower cadre civil servants
- V: Unemployed, full-time housewives, students, subsistence farmers.
Ethical approval was obtained from the Ethical Review Committee of Kano State Ministry of Health before the commencement of the study. The participants were adequately informed about the nature of the study and its benefits, voluntary withdrawal at any stage of the survey, and confidentiality of given information.
| Results|| |
A total of 120 participants with clinical features of PTB and with the previous history of anti-TB therapy were recruited in this study.
General characteristics of the participating subjects
The mean (±SD) age of the respondents was 35.9 ± 14.3 years. The participants were mainly Muslims 117 (97.5%), and they comprised 73 (60.8%) males and 47 (39.2%) females. Fifty-seven (47.5%) had no formal education. Sixty (50.0%) participants were in Social class IV. PTB was detected in 35 35 (29.2%) of the participants using the gene Xpert machine [Table 1].
Prevalence of rifampicin resistance by sociodemographic characteristics
Five patients (4.2%) had RR among the clinically diagnosed PTB cases. Among the bacteriologically confirmed PTB cases, 14.3% (5/35) had RIF resistant. The participants in the age group of 24–35 years had the highest RR. RR by sociodemographic characteristics was not statistically significant [Table 2].
|Table 2: Prevalence of rifampicin resistance by the sociodemographic characteristics|
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Rifampicin resistance in relationship to tuberculosis categorization
[Table 3] shows that out of the 35 bacteriologically confirmed cases of previous PTB, 29 of them were relapsed, 4 returned after default, and 2 were treatment failure. There was no association between the RIF resistance and the TB category (P = 0.243).
|Table 3: Association between rifampicin resistance and tuberculosis category (n=35)|
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Rifampicin resistance in relationship to the HIV status
Fourteen patients (11.7%) were HIV-seropositive, and TB/HIV co-infection was 5.7%. [Table 4] shows the RIF resistance relationship to the HIV serostatus of the participants. RIF resistance had no significant association with HIV infection in this study (P = 0.212).
|Table 4: Association between rifampicin resistance and HIV status (n=35)|
Click here to view
| Discussion|| |
Several studies worldwide have established that previous treatment with anti-TB therapy is an important risk factor for inducing TB-drug resistance., Globally, 3.5% of new TB cases and 20.5% of previously treated cases were estimated to have MDR-TB. Most federal and state specialist hospitals in Nigeria do not have facilities for mycobacterium culture and drug susceptibility test but with the help of donor agencies, many now have Gene Xpert MTB/RIF for rapid and simple detection of TB and RiF resistance.
The prevalence of RR among previously treated patients in this study was 4.2%. This level of resistance was higher than the findings of Idigbe et al. who reported 2% in Lagos, Nigeria. However, our prevalence was lower than 7.2% reported by Rasaki et al. in Ilorin, 8.6% by Olusoji et al. in Sagamu, and 19% by Lawson et al. in three cities of Nigeria. The variation in prevalence rates might be due to variation in the method of TB detection (Culture/DST or GeneXpert), categories of TB patient studied, and endemicity of TB and level of TB control practices in the different study population. Higher prevalence rates can be attributed to poor TB control practices and noncompliance with preventive guidelines leading to inadequate treatment. Inadequate treatment also leads to a selective pressure that favors the multiplication of mutant organisms, emerging as resistant clones. These clones may continue to replicate in the presence of the sub-lethal dose to become predominant, leading to the recrudescence of the disease that is then resistant to the antituberculous medication.
This study also showed that the age group of 25–34 years had the highest RR and 80% of the RR were below the age of 45 years. The occurrence of RIF resistance in young adults in this sample is similar to two previous studies in Nigeria,10,21 that reported a higher prevalence of RR among the age group 24–32 years and 31–40 years, respectively.
We found a preponderance of male participants with RR, but this finding was not statistically significant. The study is in agreement with previous studies in Nigeria,, and with a national anti-TB drug-resistant study in Tanzania. The disparity in gender distribution to TB-drug resistance could be attributed to the rate of exposure of male participants to the risk factors of TB infection such as smoking, alcoholism, and related vitamins deficiency, which could make them more susceptible.
In this study, RR was significantly higher among the relapse cases than in cases of treatment failures and the defaulters. If we use this as a proxy for MDR-TB, this finding would be in contrast to the report documented by the WHO, where MDR-TB was significantly higher in treatment failure group (49.0%) compared to (32.0%) in defaulters and relapse cases. These results cannot be compared with other local studies, on RR because information on TB category was omitted.
RIF resistance was detected in one of the two patients with TB/HIV coinfection. There was no significant association between HIV status and RR in this study. This is in agreement with the report by the global network of supranational reference laboratories assembled by the WHO's Global Project on Anti-tuberculosis Drug Resistance Surveillance, that failed demonstrate the association between drug resistance TB and HIV. Similarly, Rasaki et al., in North Central Nigeria, reported that HIV coinfection was not found to be significantly associated with anti-TDR. It is surprising that HIV infection was not associated with RR in some of the mentioned studies because HIV has been shown to influence TDR by favoring the risk of transmission of drug-resistant strains of M. tuberculosis.,,
These contrasting findings may be explained by the lack of a sufficiently large sample size of these previous studies that reduced their chance of detecting a true effect and answering the research question of interest.
Limitation of the study
RR in this study was used as a proxy for MDR-TB infection. It would have been more appropriate to detect RIF and INH resistance simultaneously using other molecular methods like line probe assay or culture and DST. This would enable the actual prevalence rate of MDR-TB to be ascertained in the region. However, infrastructures needed for these test are limited because of the logistic, quality control, and financial resources. Furthermore, carrying out a sub-group analysis also overstretches the data which could lead to errors in interpretation; it may not be possible to comment on the association between RR and some categorical variables because of the power of the study. This study may serve as a template for other surveys and add to the existing knowledge on TDR.
| Conclusion|| |
The prevalence of RR is not high among previously treated PTB patients in this study when compared with other previous studies. This finding is a window for evaluating the efficacy of current interventions in the region and provides evidence for consolidation of existing policies.
Our sincere appreciation goes to the management and staff of IDH Kano, especially the laboratory personnel in TB reference Laboratory, main Laboratory and clinical staff in the Chest and HAART Clinics, respectively. Your immense support and cooperation had made this research a success.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Dalton T, Cegielski P, Akksilp S, Asencios L, Campos Caoili J, Cho SN, et al.
Prevalence of and risk factors for resistance to second-line drugs in people with multidrug-resistant tuberculosis in eight countries: A prospective cohort study. Lancet 2012;380:1406-17.
Chan ED, Iseman MD. Multidrug-resistant and extensively drug-resistant tuberculosis: A review. Curr Opin Infect Dis 2008;21:587-95.
Mirsaeidi MS, Tabarsi P, Farnia P, Ebrahimi G, Morris MW, Masjedi MR, et al.
Trends of drug resistant Mycobacterium tuberculosis
in a tertiary tuberculosis center in Iran. Saudi Med J 2007;28:544-50.
Ahmad MS, Muayad MA. Risk factors for multi-drug resistant tuberculosis: A review. Duhok Med J 2010;4:1-7.
Velayati AA, Masjedi MR, Farnia P, Tabarsi P, Ghanavi J, ZiaZarifi AH, et al.
Emergence of new forms of totally drug-resistant tuberculosis bacilli: Super extensively drug-resistant tuberculosis or totally drug-resistant strains in Iran. Chest 2009;136:420-5.
Campbell EA, Korzheva N, Mustaev A, Murakami K, Nair S, Goldfarb A, et al.
Structural mechanism for rifampicin inhibition of bacterial RNA polymerase. Cell 2001;104:901-12.
Lateef AB, Mujeeb OS, Bashirat TS, Adeolu SO, Oluwagbenga NA, Saheed AA. Rifampicin-monoresistant Mycobacterium tuberculosis
among the patients visiting chest clinic, state specialist hospital, Akure, Nigeria. Int J Res Med Sci 2014;2:1134-7.
Sam IC, Drobniewski F, More P, Kemp M, Brown T. Mycobacterium tuberculosis
and rifampin resistance, United Kingdom. Emerg Infect Dis 2006;12:752-9.
Caws M, Duy PM, Tho DQ, Lan NT, Hoa DV, Farrar J. Mutations prevalent among rifampin- and isoniazid-resistant Mycobacterium tuberculosis
isolates from a hospital in Vietnam. J Clin Microbiol 2006;44:2333-7.
Cavusoglu C, Hilmioglu S, Guneri S, Bilgic A. Characterization of rpoB mutations in rifampin-resistant clinical isolates of Mycobacterium tuberculosis
from turkey by DNA sequencing and line probe assay. J Clin Microbiol 2002;40:4435-8.
Drobniewski FA, Wilson SM. The rapid diagnosis of isoniazid and rifampicin resistance in Mycobacterium tuberculosis
– A molecular story. J Med Microbiol 1998;47:189-96.
Heifets LB, Cangelosi GA. Drug susceptibility testing of Mycobacterium tuberculosis
: A neglected problem at the turn of the century. Int J Tuberc Lung Dis 1999;3:564-81.
World Health Organization. Multidrug and Extensively Drug-Resistant TB (M ⁄ XDR-TB). Global Report on Surveillance and Response 2010. Geneva, Switzerland: World Health Organization; 2010. Available from: http://www.whqlibdoc.who.int/2010/
. [Last accessed on 2015 May 05].
Fawcett IW, Watkins BJ. Initial resistance of Mycobacterium tuberculosis
in Northern Nigeria. Tubercle 1976;57:71-3.
Osman E, Daniel O, Ogiri S, Awe A, Obasanya O, Adebiyi E, et al
. Resistance of Mycobacterium tuberculosis
to first and second line anti tuberculosis drugs in South West, Nigeria. J Pulmon Resp Med 2012. doi: 10.4172/2161-105X.S6-001.
Ani AE, Idoko J, Dalyop YB, Pitmang SL. Drug resistance profile of Mycobacterium tuberculosis
isolates from pulmonary tuberculosis patients in Jos, Nigeria. Trans R Soc Trop Med Hyg 2009;103:67-71.
Idigbe O, Sofola T, Akinosho R, Onwujekwe D, Odiah F. Initial drug resistance tuberculosis amongst HIV seropositive and seronegative prison inmates in Lagos, Nigeria. Int Conf AIDS 1998;12:137.
Rasaki SO, AJibola AA, Musa SA, Moradeyo AK, Odeigah LO, Abdullateef SG, et al
. Rifampicin resistant tuberculosis in a secondary health institution in Nigeria, West Africa. J Infect Dis Ther 2014;2:139.
Olusoji D, Elutayo O, Olanrewaju O, Olapade GD. Pre-extensive drug resistant TB among MDR-TB patients. Global Advd Res J Microbiol 2013;2:22-5.
Lawson L, Yassin MA, Abdurrahman ST, Parry CM, Dacombe R, Sogaolu OM, et al.
Resistance to first-line tuberculosis drugs in three cities of Nigeria. Trop Med Int Health 2011;16:974-80.
World Health Organization. Guidelines for the Treatment of Tuberculosis. 4th
ed. Geneva, Switzerland: World Health Organization; 2015. Available from: http://www.who.int/tb/publications/2010/97892
. [Last accessed on 2019 Jan 15].
Oyedeji GA. Socioeconomic and cultural background of hospitalized children in Ilesha, Nigeria. J Paediatr 1985;12:111-7.
Mukinda FK, Theron D, van der Spuy GD, Jacobson KR, Roscher M, Streicher EM, et al.
Rise in rifampicin-monoresistant tuberculosis in Western Cape, South Africa. Int J Tuberc Lung Dis 2012;16:196-202.
Mitchison DA. The action of antituberculosis drugs in short-course chemotherapy. Tubercle 1985;66:219-25.
Chonde TM, Basra D, Mfinanga SG, Range N, Lwilla F, Shirima RP, et al.
National anti-tuberculosis drug resistance study in Tanzania. Int J Tuberc Lung Dis 2010;14:967-72.
Andrews JR, Shah NS, Gandhi N, Moll T, Friedland G; Tugela Ferry Care and Research (TF CARES) Collaboration. Multidrug-resistant and extensively drug-resistant tuberculosis: Implications for the HIV epidemic and antiretroviral therapy rollout in South Africa. J Infect Dis 2007;196 Suppl 3:S482-90.
Suárez-García I, Rodríguez-Blanco A, Vidal-Pérez JL, García-Viejo MA, Jaras-Hernández MJ, López O, et al.
Risk factors for multidrug-resistant tuberculosis in a tuberculosis unit in Madrid, Spain. Eur J Clin Microbiol Infect Dis 2009;28:325-30.
Wells CD, Cegielski JP, Nelson LJ, Laserson KF, Holtz TH, Finlay A, et al.
HIV infection and multidrug-resistant tuberculosis: The perfect storm. J Infect Dis 2007;196 Suppl 1:S86-107.
[Table 1], [Table 2], [Table 3], [Table 4]