Acta Scientific Microbiology (ISSN: 2581-3226)

Research ArticleVolume 4 Issue 6

Comparison of MGIT960 with Lowenstein-Jensen Method for Mycobacteria Detection in Pulmonary Tuberculosis and Drug Susceptibility Testing

Kalpana Thangavelu, Imola Jamir, Ellappan Kalaiarasan, Pallam Gopichand, Krishnakumariamma Krishnapriya and Noyal Mariya Joseph*

Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, India

*Corresponding Author: Noyal Mariya Joseph, Associate Professor, Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research JIPMER, Pondicherry, India.

Received: April 05, 2021; Published: May 07, 2021

Citation: Noyal Mariya Joseph., et al. “Comparison of MGIT960 with Lowenstein-Jensen Method for Mycobacteria Detection in Pulmonary Tuberculosis and Drug Susceptibility Testing”. Acta Scientific Microbiology 4.6 (2021): 12-17.

Introduction: This study aimed to evaluate the performance of Mycobacterium Growth Indicator Tube 960 (MGIT960) and Lowenstein-Jensen (LJ) medium for recovery of mycobacteria in pulmonary tuberculosis (PTB) and the drug susceptibility testing (DST).

Materials and Methods: A total of 2411 pulmonary specimens were collected from TB suspected patients during the study period (July 2018 to March 2020). Specimens were inoculated into both MGIT960 and LJ medium followed by Ziehl-Neelsen (ZN) and Auramine Phenol (AP) staining. DST was performed in MGIT 960 and LJ medium.

Results: Of 2411 pulmonary specimens, 190 (7.0%) and 153 (5.7%) were culture positive by MGIT960 and LJ, respectively. Of the 190 MGIT positive cultures, 169 (88.9%) were Mycobacterium tuberculosis complex (MTB) and 21 (11.1%) were non-tuberculous mycobacteria (NTM). From 153 LJ positive cultures, 138 (90.2%) and 15 (9.8%) were identified as MTB and NTM, respectively. Contamination rate associated with MGIT960 and LJ culture was 125 (5.2%) and 113 (4.7%), respectively. The average time to detection for MTB in MGIT960 and LJ were 18.17 ± 8.69 and 32.46 ± 10.46 days, respectively (p value < 0.0001) and for NTM was 18.76 ± 10.67 and 21.00 ± 12.12 days, respectively (p value 0.5611). Sensitivity of streptomycin (S), isoniazid (I), rifampicin (R) and ethambutol (E) were 87.5%, 100%, 100% and 90.9%, respectively. Specificity of S, I, R, E were 99.3%, 100%, 100% and 98.6%, respectively.

Conclusion: MGIT960 has better recovery, with shorter time to detection and similar contamination rate in pulmonary specimens compared to LJ method. The DST performance of MGIT960 was comparable to LJ.

Keywords: Tuberculosis; MGIT960; LJ Medium; Contamination Rate; Drug Susceptibility Testing

Introduction

  Pulmonary tuberculosis (PTB) due to Mycobacterium tuberculosis (MTB) and non-tuberculous mycobacteria (NTM) causes significant mortality and morbidity to the patients [1]. Prevalence of tuberculosis (TB) was estimated to be 13 million worldwide and India accounts for nearly one fourth of the above burden. WHO report 2020, reported India to be a highest TB burden country globally and was estimated to have an incidence of 26.9 lakh cases in 2019 [2]. Prevalence of non-tuberculous mycobacteria (NTM) raised from 2.4 to 15.2 cases per 100,000 in US in 2013, from 4.65 cases to 9.08 cases per 100,000 in Canada in 2010 [3]. In North Indian study prevalence of NTM was estimated to be 0.77% and the isolation rate of NTM has increased from 0.5% to 8.6% [4,5].

  Since the prevalence of both MTB and NTM are on the rise, it is essential to identify these pathogens by using a rapid and more sensitive method and start the patients on the appropriate antimycobacterials as early as possible [6]. The poor sensitivity of smear microscopy and prolonged duration for mycobacterial identification by solid Lowenstein Jensen (LJ) culture are the major limitations of conventional methods [7]. Rapid molecular methods such as GeneXpert and Truenat are relatively expensive and their use in resource-limited settings is difficult [8]. Center for Disease Control and Prevention (CDC) and World Health Organization (WHO) recommends the use of liquid culture as the gold standard method for both primary isolation and drug susceptibility testing (DST) of MTB [9]. Mycobacterium Growth Indicator Tube (MGIT; Becton Dickinson), a non-radiometric method is a fully automated system helps in the better recovery of Mycobacterium. But the disadvantage of them is the high rates of contamination that was reported [10]. In this context, we aimed to compare the performance of BACTEC MGIT 960 with LJ method for detection of Mycobacteria in clinically suspected TB patients and to compare the results of drug susceptibility testing using MGIT 960 and LJ medium.

Materials and Methods

  We conducted this prospective hospital-based study after obtaining Institutes Ethics Committee approval in the department of Microbiology from July 2018 to March 2020. The study included 2411 pulmonary specimens (sputum, tracheal aspirate, endotracheal aspirate, gastric aspirate) from the suspected tuberculosis patients.

Sample processing

  The clinical pulmonary specimens were processed as per the Revised National Tuberculosis Control Programme (RNTCP) guidelines followed in India. The samples were decontaminated by standard N-Acetyl L-cysteine (NALC)/Sodium Hydroxide (NaOH) method. The decontaminated samples were subjected to Ziehl Neelsen (ZN) or Auramine Phenol (AP) staining and two to three drops were inoculated into LJ medium and 0.5 ml of the specimen was inoculated in MGIT 960 tubes. Inoculated LJ medium was incubated at 37°C for 8 weeks and the MGIT 960 tubes were incubated in the MGIT960 system (BD Bactec™ MGIT™ 960, BD Biosciences, Mumbai, Catalog # 445870) till the tubes were flagged positive by the machine or till it was negative up to 42 days. The LJ slants were inspected for the presence of typical Mycobacterial colonies twice a week. Once the growth was seen on LJ or the MGIT 960 was flagged positive they were subjected to ZN staining and was subcultured in 5% sheep blood agar to look for contamination. The isolates from LJ culture and MGIT 960 tubes were subjected to MPT64 antigen immunochromatographic test (ICT) BD MGIT TBc Identification test (Becton, Dickinson and company, Sparks, MD, USA). Isolates positive for both acid fast bacilli (AFB) and ICT were identified as MTB complex (MTBC). Isolates positive for acid fast bacilli (AFB) and negative by ICT were identified as non-tuberculous mycobacteria (NTM).

Drug susceptibility testing

  Isolates confirmed as M. tuberculosis were tested against rifampicin, isoniazid, ethambutol and streptomycin by BACTEC MGIT 960 system using SIRE kit (Becton and Dickinson, Mumbai, India) and standard economic variant of 1% proportion method using LJ medium.

Statistical analysis

  Data were analysed using the Statistical Package for Social Sciences (SPSS®) for Windows® release 21.0 (SPSS Inc., Chicago, IL, USA). P value < 0.05 was considered to be statistically significant.

Ethical statement

Institute ethics committee approval was obtained from our Institute (Approval No. JIP/IEC/SC/2015/12/722).

Results

  Of the 2411 pulmonary specimens obtained from the clinically suspected pulmonary TB patients, 190 (7.0%) were found to be mycobacteria positive by MGIT 960 and 153 (5.7%) by LJ culture. Among the total mycobacteria grown by MGIT 960, 169 (88.9%) were identified as MTB complex (MTBC) and 21 (11.1%) as NTM. Of the 153 mycobacteria grown by LJ culture, 138 (90.2%) and 15 (9.8%) were identified as MTB and NTM, respectively (Table 1). The sensitivity of the liquid culture MGIT 960 and solid LJ culture for MTB were 86.7% and 70.8%, respectively (p value 0.001). The sensitivity of the liquid culture MGIT 960 and solid LJ culture for NTM were 84.0% and 60.0%, respectively (p value 0.180). Contamination rate associated with MGIT 960 and LJ culture was 5.2% and 4.7% respectively and was found not to be statistically significant (P value 0.323).

 

MGIT (n = 2411)

LJ (n = 2411)

MTB

169 (7.0)

138 (5.7)

NTM

21 (0.9)

15 (0.6)

Negative

2096 (86.9)

2145 (89.0)

Contaminated

125 (5.2)

113 (4.7)

Table 1: Comparison of MGIT and LJ for the recovery of mycobacteria.

  The time to detection of MTB was found to be 18.17 ± 8.69 and 32.46 ± 10.46 days by MGIT and LJ culture, respectively (P value < 0.0001). The time to detection of NTM was found to be 18.76 ± 10.67 and 21.00 ± 12.12 days by MGIT and LJ culture, respectively (P value 0.5611) (Table 2).

Organism

MGIT

LJ

P value

MTB

18.17 ± 8.69

32.46 ± 10.46

< 0.0001

NTM

18.76 ± 10.67

21.00 ± 12.12

0.5611

Table 2: Comparison of MGIT and LJ in the estimation of time to detection (TTD) for MTBC and NTM.

  Among AFB smear positive specimens, the positivity of MTB by MGIT 960 and LJ were 77.6% and 77.6%, respectively (P value 1.000). With regard to AFB smear negative specimens, the positivity of MTB by MGIT 960 and LJ were 4.7% and 3.4%, respectively (P value < 0.0001) (Table 3). The agreement between MGIT and LJ was estimated to be 92.6% (Kappa 0.665) (Table 4).

Smear

MGIT

LJ

MTB (%)

NTM (%)

NEG (%)

CON (%)

MTB (%)

NTM (%)

NEG (%)

CON (%)

Negative (n = 2335)

110 (4.7)

21 (0.9)

2083 (89.2)

121 (5.2)

79 (3.4)

15 (0.6)

2134 (91.4)

107 (4.6)

Positive (n=76)

59 (77.6)

0

13 (17.1)

4 (5.3)

59 (77.6)

0

11 (14.5)

6 (7.9)

Table 3: Comparison of MGIT and LJ positivity among Smear positive and smear negative specimens. CON: Contaminated.

 

LJ

Total

MTB

NTM

NEG

CON

MGIT

MTB

112

0

34

23

169

NTM

0

11

9

1

21

NEG

9

2

2053

32

2096

CON

17

2

49

57

125

Total

138

15

2145

113

2411

Table 4: Agreement between MGIT and LJ for detection of MTB and NTM.

  Of the 195 MTB isolates, drug susceptibility testing was performed for 156, the remaining were excluded as they were contaminated. Of the 156, 4 were multidrug resistant (MDR) strains. All the MDR were identified by MGIT 960. The results of MGIT 960 in comparison to LJ proportion method, percentage agreement/kappa and the sensitivity and the specificity are summarised in table 5. The turnaround time for drug susceptibility testing (DST) by MGIT 960 ranged from 5 to 15 days, while the turnaround time for LJ proportion method was 28 or 42 days.

Antibiotic

MGIT 960 DST

LJ

Proportion method

Percentage Agreement (95% CI)

Kappa

Sensitivity (%)

Specificity (%)

R

S

Streptomycin

R

7

1

98.72

(97 to 100)

0.87

87.5

99.3

S

1

147

Isoniazid

R

9

0

100

1.00

100

100

S

0

147

Rifampicin

R

6

0

100

1.00

100

100

S

0

150

Ethambutol

R

10

2

98.08

(96 to 100)

0.86

90.9

98.6

Table 5: Comparison of MGIT 960 drug susceptibility testing with LJ proportion method.

Discussion and Conclusion

  In a developing country like India where the prevalence of both MTB and NTM lung diseases are rising, laboratory diagnosis based on widely used sputum smear microscopy (SSM) cannot distinguish between MTBC and NTM [11]. Although molecular methods such as Line probe assay (LPA) and GeneXpert MTB/RIF are available, they have some limitations. LPA has limited sensitivity in smear negative cases and limited specificity for detection of NTM due to non-specific hybridization. GeneXpert MTB/RIF has limited detection rate in smear negative cases and lacks ability to detect NTM which in turn further needs sputum culture for final detection [12]. MGIT system, a WHO endorsed method was found to have 10% more sensitivity compared to LJ culture [13].

  In our study, the sensitivity of the liquid culture MGIT 960 and solid LJ culture for MTB were 86.7% and 70.8%, respectively. The sensitivity of the liquid culture MGIT 960 and solid LJ culture for NTM were 84.0% and 60.0%, respectively. A north Indian study conducted by Mishra., et al. in 132 specimens (Pulmonary-81; Extra pulmonary-51) showed increased recovery of mycobacteria by MGIT 960 (94%) compared to LJ (89%) [14]. A comparative study for mycobacterial isolation conducted by Rishi., et al. showed 61.83% by MGIT 960 and 44.01% by LJ culture in pulmonary specimens with overall isolation rate of mycobacteria 46.9% by MGIT 960 compared to 31.8% by solid media [15]. Satti., et al. study in Pakistan showed the increased recovery of mycobacteria (MTBC, 43 and NTM, 1) on BACTEC MGIT 960 to be 97.6% while on LJ medium was 83.7% [16]. Similar to our study, the isolation rate of Mycobacterium reported in Portugal, Yugoslavia, Spain was 100% and 90.3%, 93.2% and 67.3%, 95.5% and 79.5% by MGIT 960 and LJ, respectively [13]. An alarming report was documented in South Africa where 89% were detected as MTBC by MGIT 960 after 42 days of incubation out of which 42.3% were multidrug resistant and 1.3% were extensively drug resistant [17].

  In our study, we observed that the time to detection of MTB with the MGIT960 system (18.17 ± 8.69 days) was significantly shorter than that with the LJ (32.46 ± 10.46 days). Similar to our results a study conducted for detection of tuberculosis reported the average turnaround time for smear positive was 16 and 31 days and for smear negative samples was 20 and 36 days by MGIT 960 and LJ respectively [13]. Similarly a study in tertiary care centre in India for diagnosis of both PTB and extrapulmonary tuberculosis showed the turn-round time to be around 3 - 40 days by MGIT 960 system and 8 - 42 days by LJ [14]. In our study the time to detection of Mycobacterium was not found to be statistically significant for NTM detection by MGIT 960 and LJ. In contrary to our study a multicentre study conducted in Italy showed the time for recovery of NTM was 9 days by MGIT 960 and 22.25 days by LJ and a meta-analysis study by Cruciani., et al. showed the time to detection for NTM was 16.3 days by MGIT 960 and 24.3 days by LJ medium [18,19].

  In our study both in smear negative cases isolation rate of MTB was higher with MGIT 960 compared to LJ. An Ethiopian study showed, 17.4% and 13.6% of smear negative cases to be positive for MTBC using MGIT 960 and LJ culture methods respectively [13]. Similarly, an increased recovery of MTBC of 12.3% by MGIT 960 and 9.7% by solid culture in sputum negative cases was shown by Salma Smaoui., et al [20].

  An important part to be discussed in the liquid culture is the contamination rate. Our study reported a slightly increased contamination rate of 5.2% with MGIT 960 compared to 4.7% with LJ, but this difference was not statistically significant. In contrast to our study, Deepali Saini., et al. reports showed lower contamination rate with MGIT 960 than LJ [21]. Similar to our study increased contamination rates was obtained with MGIT 960 (13.8%) compared to LJ culture (6.7%) was reported by Idigoras., et al [22]. A study in Bangladesh conducted by Mehedi Hasan., et al. also showed higher rate of contamination with MGIT 960 (9.5%) than LJ culture (1.3%) [23].

  In our study, the sensitivity of streptomycin, isoniazid, rifampicin and ethambutol were 87.5%, 100%, 100% and 90.9%, respectively. The specificity of streptomycin, isoniazid, rifampicin and ethambutol were 99.3%, 100%, 100% and 98.6%, respectively. In a similar study from China, the sensitivity of streptomycin, isoniazid, rifampicin and ethambutol were reported to be 93.3%, 96.9%, 97.4% and 94.6%, respectively and the specificity of streptomycin, isoniazid, rifampicin and ethambutol were 96.9%, 98.2%, 98.4% and 95.5%, respectively [24]. Therefore, the MGIT 960 has an acceptable sensitivity and specificity for drug susceptibility of MTB for the first line drugs.

  We conclude that the overall performance of MGIT 960 for detection of both MTB and NTM is better than LJ culture with rapid recovery of MTB in pulmonary specimens. Our study corroborates that the application of MGIT960 for detecting both MTB and NTM is most effective and can aid in early and appropriate management of patients with mycobacterial infections. MGIT 960 also has an acceptable sensitivity and specificity for drug susceptibility of MTB for the first line drugs.

Key Messages

  MGIT960 has better recovery, with shorter time to detection and similar contamination rate in pulmonary specimens compared to LJ method. The drug susceptibility testing performance of MGIT960 against first line drugs was comparable to LJ.

Bibliography

  1. Gopalaswamy R., et al. “Of tuberculosis and non-tuberculous mycobacterial infections-a comparative analysis of epidemiology, diagnosis and treatment”. Journal of Biomedical Science 27 (2020): 1-7.
  2. National Tuberculosis Elimination Programme. India TB Report. New Delhi: Central TB Division (2020).
  3. Ratnatunga CN., et al. “The Rise of Non-Tuberculosis Mycobacterial Lung Disease”. Frontiers in Immunology 11 (2020): 303.
  4. Sharma SK., et al. “A prospective study of non-tuberculous mycobacterial disease among tuberculosis suspects at a tertiary care centre in north India”. Indian Journal of Medical Research 150 (2019): 458.
  5. Sharma S and Dhar R. “Nontuberculous mycobacterial diseases: Current diagnosis and treatment”. Astrocyte 4 (2017): 67-74.
  6. Lu D., et al. “Comparison of the Automated Mycobacteria Growth Indicator Tube System (BACTEC 960/MGIT) with Lowenstein-Jensen medium for recovery of mycobacteria from clinical specimens”. American Journal of Clinical Pathology 118 (2002): 542-545.
  7. Negi SS., et al. “Comparison of the conventional diagnostic modalities, bactec culture and polymerase chain reaction test for diagnosis of tuberculosis”. Indian Journal of Medical Microbiology 23 (2005): 29-33.
  8. Zhao P., et al. “Evaluation of a manual identification system for detection of Mycobacterium tuberculosis in a primary tuberculosis laboratory in China”. Journal of International Medical Research 47 (2019): 2666-2673.
  9. Subramanyam B., et al. “Reprocessing of Contaminated MGIT 960 Cultures to Improve Availability of Valid Results for Mycobacteria”. International Journal of Microbiology 3 (2020): 1-3.
  10. Abdel-Aziz N., et al. “A comparative evaluation of the BACTEC MGIT 960 (Mycobacterium Growth Indicator Tube) system with LJ solid medium for diagnosis of pulmonary tuberculosis”. Egyptian Journal of Microbiology 18 (2009): 91-96.
  11. Kotwal A., et al. “Mycobacterium tuberculosis and nontuberculosis mycobacteria co-infection: Two cases from the sub-Himalayan region of North India in a year”. Lung India 34 (2017): 494-496.
  12. Sarro YD., et al. “Simultaneous diagnosis of tuberculous and non-tuberculous mycobacterial diseases: Time for a better patient management”. Clinical Microbiology and Infection 3 (2018): 10.
  13. Diriba G., et al. “Performance of Mycobacterium Growth Indicator Tube BACTEC 960 with Lowenstein-Jensen method for diagnosis of Mycobacterium tuberculosis at Ethiopian National Tuberculosis Reference Laboratory, Addis Ababa, Ethiopia”. BMC Research Notes 10 (2017): 181.
  14. Mishra V., et al. “Evaluation of MGIT over other phenotypic methods for the detection of pulmonary and extrapulmonary TB at a tertiary care centre in North India”. International Journal of Pharmaceutical Sciences and Research 7 (2016): 2568.
  15. Rishi S., et al. “A comparative study for the detection of Mycobacteria by BACTEC MGIT 960, Lowenstein Jensen media and direct AFB smear examination”. Indian Journal of Medical Microbiology 25 (2007): 383.
  16. Satti L., et al. “Evaluation of BACTEC MGIT 960 system for recovery of Mycobacterium tuberculosis complex in Pakistan”. Malaysian Journal of Microbiology 6 (2010): 203-208.
  17. Mahomed S., et al. “Failure of BACTEC MGIT 960 to detect Mycobacterium tuberculosis complex within a 42-day incubation period”. African Journal of Laboratory Medicine 6 (2017): 1-3.
  18. Cruciani M., et al. “Meta- Analysis of BACTEC MGIT 960 and BACTEC 460 TB, with or without Solid Media, for Detection of Mycobacteria. J Clin Microbiol 42 (2004): 2321-2325.
  19. Tortoli E., et al. “Use of BACTEC MGIT 960 for Recovery of Mycobacteria from Clinical Specimens: Multicenter Study”. Journal of Clinical Microbiology 37 (1999): 3578-3582.
  20. Smaoui S., et al. “Evaluation of the BACTEC MGIT 960 TB with solid media for recovery of mycobacteria from extrapulmonary specimens in South Tunisia”. Journal of Medical Diagnostic Methods 4 (2015): 1-5.
  21. Saini D., et al. “Comparison of BACTEC MGIT with conventional methods for detection of mycobacteria in clinically suspected patients of extra pulmonary tuberculosis in a tertiary care hospital”. International Journal of Research in Medical Sciences 5 (2017): 3530-3533.
  22. Idigoras P., et al. “Comparison of the automated nonradiometric Bactec MGIT 960 system with Lowenstein-Jensen, Coletsos, and Middlebrook 7H11 solid media for recovery of mycobacteria”. European Journal of Clinical Microbiology and Infectious Diseases 19 (2000): 350-354.
  23. Hasan M., et al. “Evaluation of the effectiveness of BACTEC MGIT 960 for the detection of mycobacteria in Bangladesh”. International Journal of Mycobacteriology 2 (2013): 214-219.
  24. Zhao P., et al. “Evaluation of BACTEC MGIT 960 System for Testing Susceptibility of Mycobacterium tuberculosis to First-Line Drugs in China”. PLoS One 9 (2014): e99659.

Copyright: © 2021 Noyal Mariya Joseph., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



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