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ORIGINAL ARTICLE
Year : 2017  |  Volume : 1  |  Issue : 2  |  Page : 141-146

The diagnostic utility of anyplex plus™ MTB/NTM cycle threshold for detection of Mycobacterium tuberculosis complex among new and retreatment cases from a referral hospital in Limpopo Province, South Africa


1 Department of Pathology and Medical Sciences, University of Limpopo, Polokwane; TB Platform, n Medical Research Council, Pretoria, South Africa
2 Department of Pathology and Medical Sciences, University of Limpopo, Polokwane, South Africa
3 TB Platform, n Medical Research Council, Pretoria, South Africa

Correspondence Address:
Lesibana Anthony Malinga
Private Bag X 385, Pretoria, 0001
South Africa
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/bbrj.bbrj_85_17

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Background: The objective of the study was to detect Mycobacterium tuberculosis (MTB) complex using a diagnostic Anyplex plus™ MTB/NTM (Seegene Incorporated, Korea) assay in new and retreatment cases of tuberculosis (TB) in rural South Africa. Methods: We prospectively collected 204 clinical isolates from patients with new and retreatment cases residing in rural to urban areas attending a tertiary hospital. The clinical isolates were decontaminated and DNA extracted according to manufactures instructions. GenoType MTBDRplus version 2 was performed on extracted DNA and positive MTB isolates were run on Anyplex plus™ MTB/NTM assay. Culture (gold standard) and smear microscopy were used as reference standards for correct diagnosis of TB. Results: A total of 101 (49.5%) clinical isolates had valid MTB results using Genotype MTBDRplus version 2. Anyplex plus™ MTB/NTM was able to detect 68 cases (67.3%) when compared to GenoType MTBDRplus version 2. Cycle threshold (CT) of Anyplex plus™ MTB/NTM assay was able to distinguish between true and false positives for both culture and smear microscopy. A CT cutoff value of 25.9 and 37.0 could be used to differentiate between the bacilliary load of new and retreatment cases, respectively, for true positives. Conclusion: The novel technique was able to detect TB bacilliary load from new and retreatment clinical specimens using CT values.


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