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  • Research article
  • Open Access

Rifampicin-resistance pattern of Mycobacterium tuberculosis and associated factors among presumptive tuberculosis patients referred to Debre Markos Referral Hospital, Ethiopia: a cross-sectional study

  • 1Email author,
  • 1,
  • 1,
  • 1,
  • 2 and
  • 2
BMC Research Notes201710:8

https://doi.org/10.1186/s13104-016-2328-4

©  The Author(s) 2017

  • Received: 5 January 2016
  • Accepted: 8 December 2016
  • Published:

Abstract

Background

Prevailing data on rifampicin-resistant M. tuberculosis is essential for early management of MDR-TB. Therefore, this study was conducted to determine the prevalence of rifampicin-resistant Mycobacterium tuberculosis and associated factors among presumptive TB cases in Debre Markos Referral Hospital, Ethiopia.

Methods

A cross-sectional study was conducted from September 2014 to March 2015. Detection of M. tuberculosis and resistance to rifampicin was performed using Gene Xpert MTB/RIF assay. Data was collected using structured questionnaire by face to face interview. Logistic regression analysis was computed to determine the associated factors of rifampicin-resistant M. tuberculosis.

Results

A total of 505 presumptive TB patients included in the study. The prevalence of M. tuberculosis confirmed cases was 117 (23.2%) (95% CI 19.7–27%). It was higher among males (27.9%) than females (17.9%) (AOR: 2.17; CI 1.35–3.49). Of the 117 M. tuberculosis confirmed cases, 12 (10.3%) (95% CI 6.0–17.1%) were resistant to rifampicin. Rifampicin-resistant M. tuberculosis was noticed in 7 previously treated TB patients (17.1%) and 5 treatment naive patients (6.7%) (AOR: 4.16; CI 1.04–16.63). The prevalence of rifampicin-resistant M. tuberculosis was 6 (9.8%) and 6 (11.3%) in pulmonary and extra-pulmonary infections, respectively. Of the 30, MTB/HIV co-infection, 3 (10%) were rifampicin-resistant M. tuberculosis.

Conclusion

Rifampicin-resistant M. tuberculosis is prevalent in both pulmonary and extra-pulmonary tuberculosis patients. Previous treatment with anti-TB drugs was significantly associated with rifampicin resistance. Therefore, the use of Gene Xpert should be scaled up across the country for rapid detection and management of drug resistant M. tuberculosis.

Keywords

  • M. tuberculosis
  • Rifampicin
  • Resistance
  • Gene Xpert MTB/RIF
  • Ethiopia

Background

Mycobacterium tuberculosis (M. tuberculosis) remains one of the most significant causes of death from an infectious agent [1]. Tuberculosis (TB) remains a major public health problem, accounting more than 9.4 million incident cases and 1.7 million deaths every year, worldwide [2]. World Health Organization (WHO) estimates that 4.5 million people are co-infected with Human Immunodeficiency Virus (HIV) and TB globally [1, 2].

Ethiopia is one of the 22 high burden countries for TB. TB remains one of the leading causes of mortality [3]. According to the 2014 WHO report, the prevalence and incidence of all forms of TB are 211 and 224/100,000 populations, respectively [4]. TB mortality was estimated to be 32/100,000 populations in 2013. Among estimated all new TB cases, 13% are HIV co-infected [3, 4].

The emergence of drug resistance to M. tuberculosis has become a significant obstacle for TB control [5]. The emergence and spreading of multidrug (MDR) and extensively (XDR) drug-resistant M. tuberculosis complex (MTBC) strains poses significant challenges to TB control [2]. Ethiopia is one of the highest MDR-TB burden countries [3]. In Ethiopia, 2.3% of new TB cases and 17.8% of previously treated TB cases were estimated to have MDR [3]. Studies in Ethiopia reported 4.7–18.3% prevalence of rifampicin-resistant M. tuberculosis [6–10]. Mutations in a ‘hotspot’ region of 81 base pairs (bp) of rpoB gene have been found in about 96% of rifampicin (RMP) resistant M. tuberculosis [6].

Despite low sensitivity in detection of M. tuberculosis, acid-fast staining remains the main diagnostic method in resource-limited settings [11, 12]. Mycobacterial culture is the gold standard and the most sensitive method for TB diagnosis; however, its use in clinical practice is limited due to a slow turnaround time, biosafety requirements, and high cost [11, 12]. In 2011, WHO introduced the wide use of Xpert MTB/RIF assay. It is a fully automated diagnostic molecular test using real-time polymerase chain reaction (PCR) technology to simultaneously detect M. tuberculosis and rifampicin resistance mutations in the rpoB gene [13]. The Xpert assay is highly rapid, sensitive and specific in diagnosis of both pulmonary and extra pulmonary TB [8–14]. Furthermore; it was shown to be cost-effective for TB diagnosis compared to microscopy in low and middle income settings [14].

In countries with high burden of TB, rapid detection, continuous surveillance and regular monitoring of drug resistance TB is essential for disease management and earlier treatment initiation. However, there is limited capacity to perform Xpert assay, even from patients suspected of harboring drug-resistant strains with TB/HIV co-infection in Ethiopia. Moreover, documented data on the prevalence of rifampicin resistant M. tuberculosis using the newly endorsed method Gene Xpert in our country is limited. Therefore, the aim of this study was to determine the prevalence and associated factors of rifampicin-resistant M. tuberculosis among patient’s presumptive for either TB or drug resistant TB (DR TB) in Debre Markos Referral Hospital.

Methods

Study design, area and period

A cross-sectional study was conducted from September 2014 to March 2015 at Debre Markos referral Hospital (DMRH). DMRH has more than 147 beds offering different specialized services. It receives patients from the catchment area and referred from different areas of East Gojjam zone. The hospital has TB/HIV clinic as well as MDR-TB ward used for diagnosis and treatment of MDR-TB patients. The Gene Xpert MTB/RIF assay was conducted at DMRH tuberculosis laboratory.

Sample size

The sample size was determined using single population proportion formula considering 50% expected proportion of rifampicin-resistant M. tuberculosis using Gene Xpert MTB/RIF assay, 95% confidence level and marginal error of 5%. Assuming 10% non-response rate, the sample size was: n = 384 + 10% = 384 + 38 = 422. However, 505 patients provided clinical specimen adequately. Any patients attending in the TB clinic of DMRH presumptive for either TB or DR TB were the study population and they were enrolled consecutively.

Inclusion criteria

Patients presumptive for pulmonary or extra-pulmonary tuberculosis attending in the TB clinic of DMRH and volunteered to participate in the study were included.

Exclusion criteria

Presumptive patients of pulmonary or extra-pulmonary tuberculosis who provided inadequate specimen for the laboratory analysis were excluded from the study.

Variables

Rifampicin-resistant M. tuberculosis was the dependent variable where as demographic factors, HIV infection status, tuberculosis and treatment related conditions were the independent variables.

Laboratory procedures

Each eligible patient who signed written consent provided clinical specimens. From each patients presumptive of pulmonary TB, 4 ml of sputum sample was collected. In the case of presumptive extra-pulmonary TB, four ml of either pus, CSF, lymph node aspirate or peritoneal and pleural fluid samples were collected. Samples were immediately processed for Gene Xpert MTB/RIF assay. Clinical samples were diluted and decontaminated and Xpert MTB/RIF assay (Cepheid) was performed according to manufacturer’s instruction. The Xpert® MTB/RIF purifies and concentrates M. tuberculosis bacilli from clinical samples. Genomic material isolated from the captured bacteria by sonication and subsequently amplifies the genomic DNA by polymerase chain reaction (PCR). Furthermore, the process identifies all the clinically relevant rifampicin resistance inducing mutations in the RNA polymerase beta (rpoB) gene in the M. tuberculosis genome in a real time format using fluorescent probes called molecular beacons.

HIV testing

Testing for HIV was done according to the current national algorithm recommended by the Federal Ministry of Health of Ethiopia. Two rapid HIV tests, HIV (1 + 2) rapid test strip (KHB) and Stat-Pak were run sequentially. Samples were tested first with KHB. Positive samples were confirmed with Stat-Pak. Discordant results were resolved using a third confirmatory testing kit, HIV-1/2 Unigold Recombinant assay. Pre and post-test HIV counseling was provided for all consenting individuals.

Using a structured questionnaire data was collected by both face to face patient interviews and patients’ clinical record review. The main variables included in the study were age, sex, residence, reason for diagnosis, treatment history, and category of presumptive DR TB and site of tuberculosis.

Data analysis

Data were analyzed using Statistical Package for Social Sciences (SPSS® 20, USA). Descriptive statistics were used to describe the study participants in relation to relevant variables. Chi-square and logistic regression analysis were computed to identify the associated factors of M. tuberculosis and rifampicin-resistance.

Most of the variables were fitted to Chi-square test. Then all variables having a P value of ≤2 in the Chi-square test were further entered into logistic regression model. In the multivariate analysis, backward step wise logistic regression techniques were fitted and confounding were controlled. Variables having P value <0.05 in the multivariate analysis were taken as statistically significant. Adjusted odds ratios with their 95% confidence intervals were calculated. The Hosmer and Lemshow gardens-of-fit test was used to assess whether the necessary assumptions for the application of multiple regressions were fulfilled and P value >0.05 was considered as good fit.

Quality assurance

Both SPC and PCC internal controls used during Gene Xpert MTB/RIF assay. The specimen was excluded from the analysis if it was an invalid sample for Xpert assay or sample error according to Cepheid package insert. All procedures were done using standard operating methods.

Results

Patient characteristics

A total of 505 presumptive TB or DRTB patients participated in the study. Of whom, 188 (37.2%) were presumptive DR TB. Most 265 (52.4%) were males. The age range of participants was 6/12 month to 92 years with mean age of 35.5 year. Majority (55.7%) of participants were urban dwellers. Of the total, 323 (64%) were presumptive for pulmonary TB while 182 (36%) were presumptive for extra-pulmonary TB. Four presumptive DRTB categories were involved in this study: 101 (52.1%) relapse, 62 (32%) new, 26 (13.4%) treatment failure and 4 (2.1%) MDR contact. Prevalence of HIV was 183 (36%) among study participants (Table 1).
Table 1

Prevalence of M. tuberculosis among presumptive TB patients referred to DMRH using Gene Xpert MTB/RIF assay, 2015

Characters

M. tuberculosis

Total

N (%)

P value

Detected

N (%)

Not detected

N (%)

Age, years

 ≤10

9 (23.7)

29 (76.3)

38 (7.5)

0.017

 11–17

7 (29.2)

17 (70.8)

24 (4.8)

 

 18–30

46 (34.3)

88 (65.7)

134 (26.7)

 

 31–40

25 (18.7)

109 (81.3)

134 (26.5)

 

 41–50

15 (15.1)

82 (84.5)

97 (19.2)

 

 51–60

9 (18)

41 (82)

50 (9.9)

 

 61–95

6 (21.4)

22 (79.6)

28 (5.5)

 

Sex

 Male

74 (27.9)

191 (72.1)

265 (52.4)

0.008

 Female

43 (17.9)

197 (82.1)

240 (47.6)

 

Residence

 Urban

57 (20.2)

225 (79.8)

282 (55.7)

0.007

 Rural

60 (26.9)

163 (73.1)

223 (44.3)

 

HIV infection

 Positive

30 (16.6)

153 (83.4)

183 (36)

0.008

 Negative

87 (26.9)

235 (73.1)

322 (64)

 

Reason for diagnosis

 Presumptive TB

48 (15.1)

269 (84.8)

317 (62.8)

<0.001

 Presumptive DR TB

69 (36.7)

119 (63.3)

188 (37.2)

 

Treatment history with anti-TB drugs

 Previously treated

41 (31.6)

91 (68.9)

132 (26.2)

0.013

 Previously untreated

76 (20.4)

297 (79.6)

372 (73.8)

 

Presumptive DRTB

 New

28 (45.2)

34 (54.8)

62 (32)

0.024

 Relapse

26 (25.7)

75 (74.3)

101 (52.1)

 

 Failure

14 (92.3)

12 (7.7)

26 (13.4)

 

 Lost to follow-up

0

1

1 (0.5)

 

 MDR-contact

1 (25)

3 (75)

4 (2.1)

 

Site of presumptive TB

 Pulmonary

64 (19.8)

259 (80.2)

323 (64)

0.013

 Extra-pulmonary

53 (29.1)

129 (70.9)

182 (36)

 

Type of specimen

 Respiratory (sputum)

64 (19.8)

259 (80.2)

323 (64)

0.007

 Non-respiratory

53 (29.1)

129 (70.9)

182 (36)

 

Type of non-respiratory specimen

 Pus

46 (35.1)

85 (64.9)

131 (26)

 

 Peritoneal fluid

2 (11.8)

15 (88.2)

17 (3.4)

 

 Lymph node aspirate

1 (7.1)

13 (92.9)

14 (2.8)

 

 Pleural fluid

3 (23.1)

10 (76.9)

13 (2.6)

 

 Other

1 (14.3)

6 (83.7)

7 (1.2)

 

Total

117 (23.2)

388 (76.8%)

505 (100)

 

MTB M. tuberculosis, DR TB drug resistant tuberculosis

Prevalence of tuberculosis

The prevalence of M. tuberculosis confirmed TB was 117 (23.2%) (95% CI 19.7–27%). The proportion of M. tuberculosis was 74 (27.9%) in males and 43 (17.9%) in females. The proportion of M. tuberculosis was 48 (15.1%) and 69 (36.7%) among patients presumptive of TB and DR TB, respectively. From 188 presumptive DRTB cases, M. tuberculosis was noticed in 28 new (45.2%), 26 relapse (25.7%) and 14 treatment failure (53.8%) cases. M. tuberculosis was detected in 64 pulmonary (19.8%) and 53 extra-pulmonary TB cases (29.1%). The rate of MTB/HIV co-infection was 30 (16.6%) (Table 1).

Rifampicin- resistant M. tuberculosis

Of the 117 M. tuberculosis cases, 12 (10.3%) were resistant to rifampicin. The proportion of rifampicin-resistant M. tuberculosis was 7 (17.1%) among previously treated TB patients and 5 (6.7%) among treatment naïve patients. Of the 69 presumptive DR TB patients, rifampicin resistant M. tuberculosis was detected in 3 new (10.7%), 5 relapse (19.2%) and 2 treatment failure (14.3%) cases. Five rifampicin-resistant M. tuberculosis was noticed from all patients with MTB/HIV co-infection (17.9%). Rifampicin resistance was noticed in 6 pulmonary (9.5%) and 6 extra-pulmonary tuberculosis cases (11.3%) (Table 2).
Table 2

Prevalence of rifampicin-resistant M. tuberculosis in each variable among the total M. tuberculosis cases using Gene Xpert MTB/RIF assay, DMRH, 2015

Variables

Resistance pattern

P value

Resistance

N (%)

Sensitive

N (%)

Age, years

 ≤10

2 (22.2)

7 (77.8)

0.02

 11–17

1(14.3)

6 (83.6)

 

 18–30

3 (6.7)

43 (93.3)

 

 31–40

0

25 (100)

 

 41–50

5 (33.3)

10 (66.7)

 

 51–60

0

9 (100)

 

 61–92

1 (16.7)

5 (83.3)

 

Sex

 Male

8 (11.3)

64 (88.7)

0.77

 Female

4 (8.9)

41 (91.1)

 

Residence

 Urban

5 (17.9)

53 (91.2)

0.76

 Rural

7 (11.9)

52 (88.1)

 

HIV infection

 Positive

5 (17.9)

24 (82.1)

0.17

 Negative

7 (8)

81 (92)

 

Reason for diagnosis

 Presumptive TB

3 (5.9)

49 (94.1)

0.22

 Presumptive DR TB

9 (13.8)

56 (86.2)

 

Treatment history with anti-TB drugs

 Previously treated

7 (17.1)

34 (82.9)

0.11

 Previously untreated

5 (6.7)

71 (93.3)

 

Presumptive DR TB

 New

3 (10.7)

25 (89.3)

0.87

 Relapse

5 (19.2)

21 (80.8)

 

 Failure

2 (14.3)

12 (91.7)

 

 MDR-contact

0

1

 

Site of presumptive TB

 Pulmonary

6 (9.4)

58 (90.6)

0.77

 Extra pulmonary

6 (11.3)

47 (88.7)

 

Specimen type

 Respiratory (sputum)

6 (9.5)

58 (90.6)

0.67

 Non-respiratory

6 (11.3)

47 (88.7)

 

Type of non-respiratory specimen

 Pus

4 (8.5)

43 (91.5)

 

 Peritoneal fluid

0

2

 

 Lymph node aspirate

0

1

 

 Pleural fluid

2

1

 

Total

12 (10.3)

105 (89.7)

 

RIF rifampicin resistant, MTB M. tuberculosis, DR TB drug resistant tuberculosis

Associated factors

Multivariate analysis showed that M. tuberculosis infection was significantly associated with male (AOR = 2.17; CI 1.35–3.49), younger age (AOR = 3.2, CI 1.23–8.21), previous TB therapy (AOR = 2, CI 1.03–3.96) and site of TB infection (AOR = 2.19, CI 1.36–3.51). On the other hand, rifampicin-resistant M. tuberculosis was significantly associated with previous TB therapy (AOR = 4.16, CI 1.04–16.6). Male patients were 2.17 times more likely to have M. tuberculosis infection. TB patients who had previous history of TB therapy were 2 times more likely to have M. tuberculosis infection than treatment naïve patients. Moreover, TB patients who were previously treated by anti-TB drugs were 4.2 times more likely to develop rifampicin-resistant M. tuberculosis compared to treatment naïve patients (Tables 3, 4).
Table 3

Multivariate analysis showing the associated predictors of M. tuberculosis in DMRH, 2015

Variables

Gene expert result

M. tuberculosis

AOR (95% CI)

P value

Detected

Not detected

Residence

 Urban

57

225

1.35 (0.86–2.13)

0.19

 Rural

60

163

 

a

Sex

 Male

74

191

2.17 (1.35–3.49)

0.001

 Female

43

197

 

a

Age, years

 ≤10

9

29

3.2 (1.23–8.21)

0.02

 11–17

7

17

3.3 (1.08–10.08)

0.036

 18–30

46

88

4.6 (1.63–12.71)

0.004

 31–40

25

109

2.76 (0.77–9.91)

0.12

 41–50

15

82

1.1 (0.46–2.70)

0.82

 51–60

9

41

1.2 (0.36–4.02)

0.77

 61–92

6

22

 

a

HIV infection

 Positive

30

153

1.36 (0.80–2.3)

0.25

 Negative

87

235

a

a

Reason for examination

 Presumptive TB

48

269

a

a

 Presumptive DR TB

69

119

6.83 (3.55–13.15)

<0.001

Treatment history with anti-TB drugs

 Previously treated

41

91

2.02 (1.03–3.96)

0.04

 Previously untreated

76

297

 

a

Site of TB infection

 Pulmonary

64

259

2.19 (1.36–3.51)

0.001

 Extra-pulmonary

53

129

  

MTB M. tuberculosis, RIF rifampicin, AOR adjusted odds ratio

aReference category, Hosmer–Lemeshow test = 0.92, Pearson Chi-square = 2.55, classification table = 77.4

Table 4

Multivariate analysis showing the associated predictors of rifampicin resistant M. tuberculosis in DMRH, 2015

Variables

Resistance pattern

AOR (95% CI)

P value

Resistance

Sensitive

Age, years

 0–10

2

7

2.3 (0.15–37.67)

0.55

 11–17

1

6

1.84 (0.08–44.6)

0.71

 18–30

3

43

0.55 (0.04–6.80)

0.64

 31–40

0

25

  

 41–50

5

10

4.3 (0.34–54.99)

0.23

 51–60

0

9

  

 61–92

1

5

 

a

HIV infection

 Positive

5

24

3.2 (0.69–14.96)

0.14

 Negative

7

81

 

a

Reason for examination

 Presumptive TB

3

49

 

a

 Presumptive DR TB

9

56

0.41 (10.04–4.21)

0.45

Treatment history with anti-TB drugs

 Previously treated

7

34

4.16 (1.04–16.63)

0.04

 Previously untreated

5

71

 

a

DR TB drug resistant tuberculosis, AOR adjusted odds ratio, CI confidence interval

aReference category, Hosmer–Lemeshow test = 0.99, Pearson Chi-square = 0.91, classification table = 89.7

Discussion

In the present study, the prevalence of M. tuberculosis infection was similar with reports of South Africa (26%) [15], Northern Nigeria (23%) [16] and India (27.6%) [17]. However, it was lower compared to reports in Nigeria (31.4%) [18] and Pakistan (37%) [19]. The lower proportion rate of confirmed M. tuberculosis in the present study compared to other studies is due to the fact that we included presumptive cases to identify M. tuberculosis while other studies included identified cases of M. tuberculosis to check gene Xpert technique. In contrast, it is higher than studies conducted in other parts of Ethiopia [20–22] and India [23]. The discrepancy might be due to difference in methods of detection of M. tuberculosis, community and geographical area.

In this study, the detection rate of M. tuberculosis was significantly higher in males than females. Likewise, reports from WHO [24], Ethiopia [7] and Northeast China [25] supports this finding. The reason for this might be due to social and health seeking behavior difference and higher exposure of males to outer environment, smoking and alcoholism [24]. The highest proportion of Gene Xpert positive M. tuberculosis cases were seen in the age group of 18–30 years. This is consistent with previous reports in Ethiopia [20–22, 26]. This might be due to more exposure to the outer environment, high work load and wide range of mobility of young people to acquire the TB bacilli as young people have.

In the present study, the proportion of M. tuberculosis was significantly higher in presumptive DRTB compared to presumptive TB patients (P < 0.001). This might be due to treatment failure and acquiring of resistant bacilli from drug resistant TB contacts. Moreover, significantly higher proportion of M. tuberculosis was found among patients treated with anti-TB drugs compared to treatment naïve patients in the present study. This finding was comparable to a study conducted in Zimbabwe [27].

Rifampicin-resistant M. tuberculosis is a serious health problem in the study population. The prevalence of rifampicin-resistant M. tuberculosis in this study was in keeping with previous studies in Nigeria [28], North India [29], Iran [30] and Northeast China [25]. However, it was higher than studies observed in Ethiopia [8, 9, 31, 32], Kenya [33], Nigeria [34], Uganda [35] and South of Iraq [36]. In contrast, the proportion of rifampicin-resistant M. tuberculosis was lower than reports in other parts of Ethiopia [7, 36] and Chile [37]. The variation could be due to difference in risk for HIV acquisition, exposure to anti-TB drugs and national TB control program. The relative higher proportion of rifampicin-resistant M. tuberculosis in our study could be due to the use of rifampicin to treat other conditions. Moreover, rifampicin has several adverse effects which could result in patient non-adherence and hence may lead to the selection of resistant strains.

In the present study, the proportion of rifampicin-resistant M. tuberculosis was significantly higher among previously treated patients compared to treatment naive patients which might be due to failure from previous treatment and contact with drug resistant TB patients [26, 38–43]. However, the level of rifampicin resistance among previously untreated cases (6.7%) in the analysis close to the reported prevalence of rifampicin- resistant MTB (10.4%). This finding is a significant relevance in the current global and regional efforts to accurately and timely diagnose MDR-TB with the scale up of molecular technology like Gene Xpert MTB/RIF, providing quick results of rifampicin resistance as a proxy to MDR-TB.

In this study, high prevalence of rifampicin-resistant M. tuberculosis was detected among HIV positive cases which are in accordance with a study done in other part of Ethiopia [26] and Cambodia [44]. However, in the present study, there was a lack of association between HIV infection and development of active tuberculosis as well as rifampicin resistance. This was consistent with the results of earlier studies in Ethiopia [39], Tanzania [42], Calabar Nigeria [35] and Brazil [45].

In the present study, the proportion of extra-pulmonary tuberculosis was significantly higher compared to pulmonary tuberculosis; in addition the proportion of rifampicin-resistant M. tuberculosis was higher in non-respiratory specimens compared to sputum. This conforms to a study in Cambodia [44]. This demonstrates that rifampicin-resistant extra-pulmonary M. tuberculosis infection is a major health problem in resource-limited settings.

The major strength of this study was detection of M. tuberculosis and rifampicin resistance using the newly endorsed method Gene Xpert MTB/RIF assay from sputum and non-respiratory specimens. However, the major limitation of this study was determination of the sample size using single population formula which may overwhelm some of the associated factors. This study could not do the level of resistance to other anti-TB drugs and the finding of Gene Xpert was not compared to acid fast bacilli microscopy. Thus the finding of this study should be interpreted with these limitations.

Conclusions

Rifampicin-resistant M. tuberculosis is prevalent both in pulmonary and extra-pulmonary tuberculosis cases in the study area. Previous treatment with anti-TB drugs was significantly associated with rifampicin resistance. The strong association of rifampicin resistance with previous treatment suggests that improved monitoring of treatment to limit the emergence of drug resistant M. tuberculosis. Hence, the use of Gene Xpert should be scaled up across the country for rapid diagnosis, management and expanded surveillance of drug-resistant M. tuberculosis.

Declarations

Authors’ contributions

WM conceived and designed the study, involved in Gene Xpert MTB/RIF assay, interpret the result, performed the statistical analysis and wrote the manuscript, HA and DA performed the gene Xpert MTB/RIF assay, and revised the manuscript, BA, MY and TH, critically revised the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We would like to acknowledge DMRH for giving permission to conduct the study. We would like also to thank Mr. Belachew Mulu, Medical Laboratory technician at DMRH for his contribution in assisting the data collection process.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The finding of this study is generated from the data collected and analyzed based on the stated methods and materials. All the data are already found in the manuscript and there are no supplementary files. The original data supporting this finding will be available at any time upon request.

Consent for publication

Consent to publish is not applicable for this manuscript because there is no individual data details like images or videos.

Ethics approval and consent to participate

Ethical approval was secured from the research ethics committee of DMRH. We followed all chains of command to get support letter from legally authorized representatives for data collection. Written consent was obtained from each study participants. Moreover, all parents of participants under 18 gave written consent to participate in this study. The results from laboratory analysis were communicated to the responsible physician for early initiation of anti- TB treatment. Confidentiality of the result was also maintained anonymously and not communicated for other purposes.

Funding

Funding is not applicable for this study because the research project was not funded by any organization.

Open AccessThis article is 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, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Medical Microbiology, Immunology and Parasitology, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
(2)
Department of Microbiology Laboratory, Debre Markos Referral Hospital, Debre Markos, Ethiopia

References

  1. Zeka AN, Tasbakan S, Cavusoglu C. Evaluation of the Gene Xpert MTB/RIF assay for rapid diagnosis of tuberculosis and detection of rifampin resistance in pulmonary and extra pulmonary specimens. J Clin Microbiol. 2011;49(12):4138–41.View ArticlePubMedPubMed CentralGoogle Scholar
  2. Ioannidis P, Papaventsis D, Karabela S, Nikolaou S, Panagi M, Raftopoulou E, et al. Cepheid Gene Xpert MTB/RIF assay for Mycobacterium tuberculosis detection and rifampin resistance identification in patients with substantial clinical indications of tuberculosis and smear-negative microscopy results. J Clin Microbiol. 2011;49(8):3068–70.View ArticlePubMedPubMed CentralGoogle Scholar
  3. World Health Organization. Tuberculosis Progress. WHO/HTM/TB 2014. Geneva: WHO; 2015.Google Scholar
  4. World Health Organization. Global Tuberculosis Report. WHO/HTM/TB 2014. Geneva: WHO; 2014.Google Scholar
  5. World Health Organization. Multidrug and extensively drug-resistant TB (M/XDR-TB): Global report on surveillance and response. Geneva. WHO/HTM/TB 2010. Geneva: WHO; 2010.Google Scholar
  6. Mekonnen F, Tessema B, Moges F, Gelaw A, Eshetie S, Kumera G. Multidrug resistant tuberculosis: prevalence and risk factors in districts of metema and West armachiho Northwest Ethiopia. BMC Infect Dis. 2015;15:461.View ArticlePubMedPubMed CentralGoogle Scholar
  7. Mekonnen D, Admassu A, Mulu W, Amor A, Benito A, Gelaye W, et al. Multidrug and heteroresistant Mycobacterium tuberculosis and associated gene mutations in Ethiopia. Int J Infect Dis. 2015;39:34–8.View ArticlePubMedGoogle Scholar
  8. Tessema B, Beer J, Emmrich F, Sack U, Rodloff AC. First- and second-line anti-tuberculosis drug resistance in Northwest Ethiopia. Int J Tuberc Lung Dis. 2012;16(6):805–11.View ArticlePubMedGoogle Scholar
  9. Getahun M, Ameni G, Kebede A, Yaregal Z, Hailu E, Medihn G, et al. Molecular typing and drug sensitivity testing of Mycobacterium tuberculosis isolated by a community-based survey in Ethiopia. BMC Public Health. 2015;15:751.View ArticlePubMedPubMed CentralGoogle Scholar
  10. Nigus DM, Lingerew WM, Beyene BA, Tamiru AA, Lemma MT, Melaku MY. Prevalence of multi drug resistant tuberculosis among presumptive multi drug resistant tuberculosis cases in Amhara National Regional State, Ethiopia. J Mycobac Dis. 2014;4:152. doi:10.4172/2161-1068.1000152.View ArticleGoogle Scholar
  11. Pinyopornpanish K, Chaiwarith R, Pantip C, Keawvichit R, Wongworapat K, Khamnoi P, et al. Comparison of Xpert MTB/RIF assay and the conventional sputum microscopy in detecting Mycobacterium tuberculosis in Northern Thailand. Tuberc Res Trea. 2015;2015:1–6.View ArticleGoogle Scholar
  12. Story BE, Helb D. Evaluation of the analytical performance of the Xpert MTB/RIF assay”. J Clin Microbiol. 2010;48(7):2495–501.View ArticlePubMedPubMed CentralGoogle Scholar
  13. Chang K, Lu W, Wang J. Rapid and effective diagnosis of tuberculosis and rifampicin resistance with Xpert MTB/RIF assay: a meta-analysis”. J Infect. 2012;64(6):580–8.View ArticlePubMedGoogle Scholar
  14. Boehme CC, Nabeta P, Hillemann D. Rapid molecular detection of tuberculosis and rifampin resistance”. N Eng J Med. 2010;363(11):1005–15.View ArticleGoogle Scholar
  15. Cox HS, Mbhele S, Mohess N, Whitelaw A, Muller O, Zemanay Z, et al. Impact of Xpert MTB/RIF for TB diagnosis in a primary care clinic with high TB and HIV prevalence in South Africa: a pragmatic randomised trial. PLOS Med. 2014;11(11):e1001760.View ArticlePubMedPubMed CentralGoogle Scholar
  16. Aliyu G, El-Kamary SS, Abimiku A, Ezati N, Mosunmola I, Hungerford L, et al. Mycobacterial etiology of pulmonary tuberculosis and association with HIV infection and multidrug resistance in Northern Nigeria. Tuber Res Trea. 2013;2013:1–9.View ArticleGoogle Scholar
  17. Alvarez-Uria G, Azcona JM, Midde M, Naik PK, Reddy S, Reddy R. Rapid diagnosis of pulmonary and extra-pulmonary tuberculosis in HIV-infected patients. Comparison of LED FluorescentMicroscopy and the GeneXpert MTB/RIF assay in a district hospital in India. Tuberc Res Trea. 2012;2012:1–4.Google Scholar
  18. Dinic L, Akande P, Idigbe EO, Ani A, Onwujekwe D, Agbaji O, Akanbi M, Nwosu R. Genetic determinants of drug-resistant tuberculosis among HIV infected patients in Nigeria. J Clin Microbiol. 2012;50(9):2905–9.View ArticlePubMedPubMed CentralGoogle Scholar
  19. Adeniyi B, Wahab M, Lekuk C, et al. Multi-drug-resistant tuberculosis in Northern Pakistan. JPMA. 2004;54:469.Google Scholar
  20. Deribew A, Negussu N, Melaku Z, Deribe K. Investigation outcomes of tuberculosis suspects in the health centers of Addis Ababa, Ethiopia. PLoS ONE. 2011;6(4):e18614.View ArticlePubMedPubMed CentralGoogle Scholar
  21. Gebre D, Miamo L. Prevalence of smear positive pulmonary tuberculosis among patients attending Seka Health Center, Jimma, Oromia Region, Ethiopia. East Afr J Public Health. 2010;7(3):268–73.PubMedGoogle Scholar
  22. Yohanes A, Abera S, Ali S. Smear positive pulmonary tuberculosis among suspected patients attending Metehara sugar factory hospital; eastern Ethiopia. Afr Health Sci. 2012;12(3):325–30.PubMedPubMed CentralGoogle Scholar
  23. Sharma S, Madan M, Agrawal C, Asthana AK. Genotype MTBDR plus assay for molecular detection of rifampicin and isoniazid resistance in Mycobacterium tuberculosis. Indian J Pathol Microbiol. 2014;57(3):423–6.View ArticlePubMedGoogle Scholar
  24. World Health organization. Global Tuberculosis Report. WHO/HTM/TB 2012. Geneva: WHO; 2012.Google Scholar
  25. Yang Y, Zhou C, Shi L, Meng H. Prevalence and characterization of drug-resistant tuberculosis in a local hospital of Northeast China. Int J Infect Dis. 2014;22:83–6.View ArticlePubMedGoogle Scholar
  26. Abdella K, Abdissa K, Kebede W, Abebe G. Drug resistance patterns of Mycobacterium tuberculosis complex and associated factors among retreatment cases around Jimma, Southwest Ethiopia. BMC Public Health. 2015;15:599.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Makamure B, Mhaka J, Makumbirofa S, Mutetwa R, Mupfumi L, Mason P, et al. Microscopic-observation drug-susceptibility assay for the diagnosis of drug-resistant tuberculosis in Harare Zimbabwe. PLoS ONE. 2013;8(2):e55872.View ArticlePubMedPubMed CentralGoogle Scholar
  28. Nwadioha SI, Nwokedi EOP, Ezema GC, Eronini NC, Anikwe A, Audu F, et al. Drug resistant Mycobacterium tuberculosis in Benue, Nigeria. Br Microbiol Res J 2014. 2014;4(9):988–95.View ArticleGoogle Scholar
  29. Gupta A, Mathuria JP, Singh SK, Gulati AK, Anupurba S. Anti tubercular drug resistance in four healthcare facilities in North India. J Health Popul Nutr. 2011;29(6):583–92.PubMedPubMed CentralGoogle Scholar
  30. Farazi A, Sofian M, ZarrinfarN Katebi F, Hoseini SD, Keshavarz R. Drug resistance pattern and associated risk factors of tuberculosis patients in the central province of Iran. Caspian J Intern Med. 2013;4(4):785–9.PubMedPubMed CentralGoogle Scholar
  31. Desta K, Asrat D, Lemma E, Gebeyehu M, Feleke B. Drug susceptibility of Mycobacterium tuberculosis isolates from smear negative pulmonary tuberculosis patients, Addis Ababa, Ethiopia. Ethiop J Health Dev. 2008;22(2):212–5.Google Scholar
  32. Abebe G, Abdissa K, Abdissa A, Apers L, Agonafir M, De-Jong BC, Colebunders R. Relatively low primary drug resistant tuberculosis in southwestern Ethiopia. BMC Res Notes. 2012;5:225.View ArticlePubMedPubMed CentralGoogle Scholar
  33. Ndung’u PW, Kariuki S, Ng’ang’ Z, Revathi G. Resistance patterns of Mycobacterium tuberculosis isolates from pulmonary tuberculosis patients in Nairobi. J Infect Dev Ctries. 2012;6(1):33–9.PubMedGoogle Scholar
  34. Out A, Umoh V, Habib A, Ameh S, Lawson L, Ansa V. Drug resistance among pulmonary tuberculosis patients in Calabar, Nigeria. Pul Med. 2013;2013:1–6.Google Scholar
  35. Mboowa G, Namaganda C, Ssengooba W. Rifampicin resistance mutations in the 81 bp RRDR of rpoB gene in Mycobacterium tuberculosis clinical isolates using Xpert® MTB/RIF in Kampala, Uganda: a retrospective study. BMC Infect Dis. 2014;14:481.View ArticlePubMedPubMed CentralGoogle Scholar
  36. Al-Mussawi AA, Ali NH, Abd AH. Rapid molecular detection of rifampin resistant tuberculosis in Basrah Governorate—South of Iraq. Int J Myco Bacteriol. 2015;4:100.Google Scholar
  37. Araya P, Velasco M, Tognarelli J, Arias F, Leiva T, Sccapatticio A, et al. Detection of genes associated with drug resistance in Mycobacterium tuberculosis strains isolated in Chile. Rev Med Chile. 2011;139:467–73.View ArticlePubMedGoogle Scholar
  38. Federal Ministry of Health (FMOH). Guidelines for clinical and programmatic management of TB, Tb/HIV and leprosy in Ethiopia: Democratic Republic of Ethiopia Ministry of Health. 5th ed. Ethiopia: FMOH;2013.Google Scholar
  39. Mulu M, Mekonnen D, Yimer M, Admassu A, Abera B. Risk factors for multidrug resistant tuberculosis patients in Amhara National Regional State. Afr Health Sci. 2015;15(2):368–77.View ArticlePubMedPubMed CentralGoogle Scholar
  40. Hirpa S, Medihn G, Girma B. Determinants of multi drug-resistant tuberculosis in patients who underwent first-line treatment Addis Ababa: a case—control study. BMC Public Health. 2013;13:2–9.View ArticleGoogle Scholar
  41. Merza MA, Farina P, Tabarsi P, Khazampour M, Masjedi MR, Velayati AA. Anti tuberculosis drug resistance and associated risk factors in a tertiary level TB centre in Iran: a retrospective analysis. J Infect Dev Ctries. 2011;5:511–9.View ArticlePubMedGoogle Scholar
  42. Rangen N, Friis H, Mfaume S, Magnussen P, Changalucha J, Kilale A, et al. Anti-tuberculosis drug resistance pattern among pulmonary tuberculosis patients with or without HIV infection in Mwanza, Tanzania. Tan J Health Res. 2012;14(4):1–9.Google Scholar
  43. Sharaf Eldin GS, Fadl-Elmula I, Ali MS, Ali AB, Salih ALG, Mallard K, et al. Tuberculosis in Sudan: a study of Mycobacterium tuberculosis strain genotype and susceptibility to anti-tuberculosis drugs. BMC Infect Dis. 2011;11:219.View ArticlePubMedPubMed CentralGoogle Scholar
  44. Walls G, Bulifon S, Breysse S, Daneth T, Bonnet M, Hurtado N, Molfino L. Drug-resistant tuberculosis in HIV-infected patients in a national referral hospital, Phnom Penh, Cambodia. Glob Health Action. 2015; 8: 25964. http://dx.doi.org/10.3402/gha.v8.25964.
  45. Aguiar F, Vieira MA, Staviack A, Buarque C, Marsico A, Fonseca L, et al. Prevalence of anti-tuberculosis drug resistance in an HIV/AIDS reference hospital in Rio de Janeiro, Brazil. Int J Tuberc Lung Dis. 2009;13(1):54–61.PubMedGoogle Scholar

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