Prevalence of Multidrug Resistant Mycobacterium tuberculosis and Risk Factors among Youth Attending MDR-TB Unit in Mulago Hospital

Special Article - Mycobacterium Tuberculosis

J Bacteriol Mycol. 2018; 5(9): 1088.

Prevalence of Multidrug Resistant Mycobacterium tuberculosis and Risk Factors among Youth Attending MDR-TB Unit in Mulago Hospital

Kateregga NJ¹, Atuheire C¹, Ntambi S¹, Ocaka D², Ndukui GJ³* and Wampande E¹

¹College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University-Kampala, Uganda

²Makerere University Joint Aids Programme (MJAP), Uganda

³Department of Medical Laboratory Sciences, College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Uganda

*Corresponding author: James G. Ndukui, Department of Medical Laboratory Sciences, College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Uganda

Received: November 06, 2018; Accepted: December 14, 2019; Published: December 21, 2018

Abstract

Background: Multidrug resistant tuberculosis is the TB bacilli revealing resistance to at least isoniazid and/or rifampicin drugs. Tuberculosis is one of the world’s leading causes of adult morbidity and mortality with an estimated 8.8 million incident cases and 1.4 million deaths in 2010 mainly in Sub-Saharan Africa. The etiologic agents are Mycobacterium tuberculosis in human and Mycobacterium bovis in cattle and mainly attack the lungs. Tuberculosis is primarily an air borne disease, the bacteria are transmitted from person to person through tiny microscopic infective droplets when a TB infected patient coughs, sneezes, speaks, sings or laughs.

Methods: Sputum samples were collected from suspected TB patients who visited Mulago National Referral Hospital (ward 5 and 6) in Kampala, Uganda. Ziehl-Nelsen technique was performed on the sputum samples and then after subjected to the gene-Xpert machine which simultaneously detects Mycobacterium tuberculosis complex and resistance to Rifampicin in less than 2 hours using the real time polymerase chain reaction (real time-PCR) technique for the detection and amplification of the resistant Mycobacterium tuberculosis gene.

Results: From a total of 177 sputum samples analyzed for MDR-TB, 1.69% (3/177) was positive for multidrug resistant tuberculosis revealing a prevalence rate of 1.69%. The risk factors ranged from age, sex, patients with TB reinfections or relapse cases, HIV, TB, alcohol, religion, tribe and the occupation of the patients. This study however, revealed that patients with TB re-infections or relapse cases and smokers were comparatively at higher risk of developing MDR-TB as compared to the other factors.

Conclusion: Although the prevalence rate is low, MDR- M. tuberculosisis is still a problem in Uganda. Smokers and relapse cases have higher chances of contracting MDR-M. tuberculosis.

Keywords: Prevalence; MDR-Mycobacterium tuberculosis; Ziehl Nielsen; RT-PCR

Abbreviations

AIDS: Acquired Immune Deficiency Syndrome; HIV: Human Immunodeficiency Virus; MDR-TB: Multidrug Resistant Tuberculosis; PCR: Polymerase Chain Reaction; PLHIV: People Living with Human Immunodeficiency Virus; RIFAM: Rifampicin Drug; ZN: Ziehl Neelsen

Background

Multidrug resistant M. tuberculosis is defined as TB bacilli revealing resistance to at least isoniazid and/or rifampicin whereas extensively drug resistant tuberculosis is the TB bacilli that develops resistance to at least isoniazid and rifampicin and at least one of the second line anti TB injectable drugs like Kanamycin, Amikacin or Capreomycin [1].

The current worldwide burden of Multidrug resistant Tuberculosis is approximately 500,000 cases, this means that almost a third of the world’s population is infected and 9 million new cases of active Mycobacterium tuberculosis with about 2-3 million deaths occurring annually (95%) in developing countries [2]. This estimates to about 4000-5000 deaths every day mainly because of drug resistance due to inappropriate use of anti-TB drugs by patients with drug susceptible strains [3], therefore globally, Multidrug resistant TB is at 3.4% and 19.8% for all new and previously treated TB cases respectively, with a general increase in Botswana, Peru, the Republic of Korea and a decline in Estonia, Latvia and the United States of America [4].

However it remains uncommon in most parts of Africa especially in sub Saharan Africa due to inadequate laboratory services that makes it difficult to estimate the actual burden of MDR-TB even if surveillance showed a prevalence of 1-4% among new cases and 4-17% among previously treated TB cases in Cote d’Ivoire, Ethiopia, Madagascar, Rwanda, and Senegal [5]. In Uganda, MDR-TB prevalence was at 0.5% and 4% among new and previously treated TB cases respectively with about 12.7% prevalence in Kampala and a low resistance to second line drugs [6].

The discovery of effective anti-TB drugs in the 1940s made TB curable. However, worldwide surveys documents drug resistant TB as a rapidly increasing problem hence requiring a rather complicated second line drugs for the treatment of the multidrug resistant TB some of which are only injectable, less efficacious, more toxic and more expensive than the first line agents. Development of anti-TB drugs resistance can occur due to mycobacterium genetic factor, previous anti-TB treatment-related factor and also migration, age, sex, HIV infection, and socio-economic factors are associated with the increased prevalence of MDR-TB. Not only does HIV increase the risk of reactivating latent M. tuberculosis infection, but it also increases the risk of rapid TB progression soon after infection or reinfection with the bacteria.

The mortality rates in MDR/XDR-TB patients co-infected with HIV/AIDS was at 80% for XDR-TB patients and 63% for MDRTB following diagnosis and because of HIV spreads into Asia and eastern Europe where drug resistant is more firmly established, the number of persons infected with both HIV and MDR-TB is likely to increase. Generally, individuals who are infected with Mycobacterium tuberculosis have approximately 5-10% lifetime risk of developing TB disease, however in individuals with HIV-infection/AIDS, the risk is at 5-10% per year and this contributes HIV-infection/AIDS to the outbreak of MDR-TB and XDR-TB. Therefore the burden of TB increases generally with increase in HIV infection [7]. This study aimed at determining the prevalence and risk factors predisposing the youth to multidrug resistant M. tuberculosis in Kampala, Uganda.

Methods

Study site and design

A cross sectional study was carried out at Mulago national referral hospital (wards 5 and 6) in Kampala, Uganda.

This study involved sample collection from suspected TB patients who visited the hospital and questionnaires were administered to them which helped to obtain pertinent information about their life style and environment that may have had any influence to their contraction of MDR-TB. The study was carried out in MDR-TB wards in Mulago national referral hospital. All participants recruited in this study were referral cases between the ages of 18 and 35 years. Informed consent was obtained from the patients before enrolment into the study.

Sample and data collection

The sample size was determined to be 177 subjects. It was calculated using an acceptable error of 5% and the estimated prevalence of the disease at 12.7% [8] and was based on a standard sample size formula for cross-sectional studies (Martin, 1998). Questionnaires were administered to the study subjects and these included age, sex, tribe and religion, whether they had been infected previously with TB, TB treatment history, HIV status and previous contact with MDRTB patients. History of smoking, level of education, alcoholism, occupation and financial status before and after contracting the disease were also recorded.

Standard sputum sample collection procedures were strictly followed during sample collection to avoid contamination of samples. Records of their symptoms and physical examination were taken. A single sample of about 5mls was collected using a wide mouth, sterile, leak proof sputum sample collection container from the patients in the area designated for sample collection in the vicinity of the ward by following the instruction given strictly early morning before brushing their teeth. After collection the samples were brought to the laboratory immediately for labeling with the laboratory number and processing under a bio-safety cabinet level II then later examined.

Macroscopic sputum examination

The sputum sample appearance was reported as salivary, mucoid, muco-purulent or blood stained. The samples that appeared white/ yellow meant that they had large numbers of white cells/neutrophils and eosinophils, green/yellow samples indicated presence of pus, bacteria and cellular debris and this were described as purulent or muco-purulent and those streaked with blood were called blood stain samples [9].

Microscopic sputum examination

Ziehl-Neelsen staining technique was used to demonstrate the presence of the acid fast bacilli. A new scratch free microscope slide was cleaned using gauze or dry cotton wool and labeled with the district code, unit code and patients laboratory number using a diamond pencil or lead pencil on the frosted side of the slide. The portion of the sputum that appeared abnormal was picked up using a sterile wire loop or an applicator stick and spread in the middle of the slide to a size of about 1 by 2 cm, allowed to air dry and the wire loop rinsed in 5% Lysol solution in a beaker which removed traces of sputum from it and later heated in a Bunsen burner flame to sterilize the loop. All this processes was carried out from the bio-safety cabinet which prevented contamination of the environment with the aerosols coming from the sputum during processing.

The dried smear was then fixed using 70% alcohol for about 2-3 minutes and later stained by flooding the slide with strong carbol funchin and heated using a cotton wool socked in alcohol and wrapped around a pair of tongs or an applicator stick until vapor arose from the stain and kept warm for 15 minutes. The slides was then picked using a pair of forceps, rinsed in a thin stream of water, decolorized with 20% Sulphuric acid for 2 minutes and later counter stained using 0.1% Methylene blue for 1 minute. The slide was then washed in a thin stream of water, dried at room temperature and examined with immersion oil using × 100 objectives of the microscope.

Determination of M. tuberculosis resistance to rifampicin and/or isoniazid

Sputum sediments were prepared by centrifugation and resuspended in 67mM Phosphate/H2O buffer for testing using Xpert MTB/RIF Assay. After re-suspension, at least 0.5 mL of the resuspended sediment was used for the Xpert MTB/RIF Assay. The cartridge was labeled on the sides with the sample ID ensuring that the existing 2D barcode on the cartridge was not covered. Specimens with obvious food particles or other solid particulates were rejected.

GeneXpert was used to detect M. tuberculosis complex and resistance to Rifampicin using Real-time Polymerase Chain Reaction (Real-time PCR) technique for the amplification of the resistant Mycobacterium tuberculosis gene. At least 0.5 mL of the total resuspended pellet was transferred to a conical, screw-capped tube of the Xpert MTB/RIF using a transfer pipette. Alternatively, the entire sample was processed in the original tube. 2mL of Xpert MTB/ RIF Sample Reagent (SR) was transferred to 0.5mL of resuspended sediment using a transfer pipette and then vigorously shaken 10 to 20 times or vortex for at least 10 seconds. The sample was incubated for 10 minutes at room temperature, and then shaken vigorously 10 to 20 times or vortex for at least 10 seconds plus an additional 5 minutes incubation at room temperature.

Each Xpert MTB/RIF cartridge was labeled with the sample ID. In a leak-proof sputum collection container, the sample was diluted in the ratio 2:1 using SR diluents and shaken vigorously 10 to 20 times or vortex for at least 10 seconds, incubated for 10 minutes at room temperature and shaken again vigorously 10 to 20 times or vortex for at least 10 seconds before finally incubating it at room temperature for an additional 5 minutes. The cartridge lid and the sample containers were opened and the liquefied sample transferred into the cartridge using the transfer pipette slowly before the cartridge lid closed firmly. The test was started within 4 hours of adding the sample to the cartridge. The GX 4.0 software or higher was loaded and Xpert MTB/RIF assay definition file was imported into the software. Laboratory work sheet was developed specifically for this study and used to record patients’ laboratory results.

The GeneXpert generated the results from measured fluorescent signals and embedded calculation algorithms. A positive test result did not necessarily indicate the presence of viable organisms. It was however, presumptive for the presence of MTB and RIF’s resistance. If the results showed “Rif Resistance DETECTED” this meant that MTB target was present within each sample and a mutation in the rpoB gene was detected that felt within the valid delta Ct setting hence reported as positive. “Rif Resistance NOT DETECTED” indicated that MTB target was present within the sample but no mutation in the rpoB gene had been detected and hence reported as negative.

Data analysis

Data was analyzed using a computer software program (SPSS, Microsoft Excel®) and the prevalence of MDR-TB determined. The different risk factors were analyzed and their measure of association with MDR-TB was determined and hence the results were considered significant at p<0.05 (95% confidence interval).

Ethical clearance

Permission to collect samples from patients attending Mulago National Referral Hospital was sought from the administration. Informed consent was obtained from all study subjects. In addition ethical clearance was obtained from the Institutional Review Board of School of Biomedical Sciences of Makerere University College of Health Sciences.

Results and Discussion

Multidrug resistance M. tuberculosis prevalence was 1.69% in the 177 samples analyzed. A number of factors were assessed in relation to MDR-TB prevalence; this included among others age, sex, suspects, HIV, TB, alcohol, smoking, religion, tribe and the occupation of the patients. The results however revealed that patients with TB reinfections or relapse cases, sex, smokers and religion had significantly (p<0.05, Chi square) higher risk of developing MDR-TB in relations to the other factors at 95% confidence interval. The females are more likely to develop MDR-TB as compared to the males. Similarly the Bantu had higher prevalence compared to the non Bantu as shown in (Table 1).

Citation: Kateregga NJ, Atuheire C, Ntambi S, Ocaka D, Ndukui GJ and Wampande E. Prevalence of Multidrug Resistant Mycobacterium tuberculosis and Risk Factors among Youth Attending MDR-TB Unit in Mulago Hospital. J Bacteriol Mycol. 2018; 5(9): 1088.