Bi-directional Diagnosis of Tuberculosis (TB) Using Xpert® MTB/RIF Ultra and Determine® TB-LAM Ag Testing Methodologies in a Parallel Algorithm: Pathway Towards Identifying the Nigerian Missing TB Cases.

Authors

  • Adeniyi David Segun APIN Public Health Initiatives Ltd/Gte., Block 2, MAT Estate, Rayfield, Jos, Nigeria. https://orcid.org/0000-0001-7242-891X
  • Tongvwam Princewill John APIN Public Health Initiatives Ltd/Gte., Block 2, MAT Estate, Rayfield, Jos, Nigeria.
  • Okonkwo Patrick Chikezie APIN Public Health Initiatives Ltd/Gte., Block 2, MAT Estate, Rayfield, Jos, Nigeria.
  • Owolagba Femi Emmanuel APIN Public Health Initiatives Ltd/Gte., Plot 1551, APO Resettlement Zone E, FCT, Abuja, Nigeria.
  • Ofuche Eke APIN Public Health Initiatives Ltd/Gte., Plot 1551, APO Resettlement Zone E, FCT, Abuja, Nigeria.
  • Onwuatuelo Ifeyinwa APIN Public Health Initiatives Ltd/Gte., Plot 1551, APO Resettlement Zone E, FCT, Abuja, Nigeria.
  • Samuels Jay Osi APIN Public Health Initiatives Ltd/Gte., Plot 1551, APO Resettlement Zone E, FCT, Abuja, Nigeria.
  • Okonkwo Prosper APIN Public Health Initiatives Ltd/Gte., Plot 1551, APO Resettlement Zone E, FCT, Abuja, Nigeria.

DOI:

https://doi.org/10.71637/tnhj.v25i1.944

Keywords:

Tuberculosis, Nigeria, Advanced HIV Disease, Lipoarabinomannan, Algorithm, Methodology, Extra-pulmonary TB

Abstract

Background: The endemic nature of TB infection in Nigeria requires that the nation’s TB diagnostic tools and algorithms be reassessed towards meeting the current global trends in TB case-detection. Also, the incidence and prevalence of both Pulmonary tuberculosis (PTB) and Extra-Pulmonary tuberculosis (EPTB) needs to be well ascertained for Nigeria to know her true TB prevalence.

Methods: 365 presumptive and consenting TB clients participated in this cross-sectional study. Collected sputum and urine samples were tested with Xpert® MTB/RIF ultra and the Determine® TB-LAM Ag®; following standard laboratory operating processes. Obtained data were statistically analyzed using the student’s t-test, the Pearson’s correlation statistics, and simple percentages with the Excel® Data Analysis ToolPak. 

Results: 30.4% (111/365) combined Mtb cases were detected in this study. Using Student’s t-test at 95% CL, the obtained p-value (P 0.018104), and a calculated correlation coefficient (r=1) obtained reveals a significantly strong association and a perfect positive correlation between the bi-directional diagnosis of TB using this parallel TB screening methodologies, and an increased Mtb cases detection.

Conclusion: In this study, the high sensitivity of the Xpert® MTB/RIF Ultra at detecting PTB and the high specificity of the Determine® TB-LAM Ag® at detecting EPTB has been synergized in a parallel algorithm. It is believed that the application of this testing methodology in a parallel algorithm would help to optimize Mtb cases detection and TB diagnosis in Nigeria.

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Published

2025-04-01

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Section

Original Articles

How to Cite

Bi-directional Diagnosis of Tuberculosis (TB) Using Xpert® MTB/RIF Ultra and Determine® TB-LAM Ag Testing Methodologies in a Parallel Algorithm: Pathway Towards Identifying the Nigerian Missing TB Cases. (2025). The Nigerian Health Journal, 25(1), 166-173. https://doi.org/10.71637/tnhj.v25i1.944

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