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Related Concept Videos

Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

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Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...
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Diagnosing Pulmonary Tuberculosis with the Xpert MTB/RIF Test
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Comparing Tuberculosis Diagnostic Yield in Smear/Culture and Xpert® MTB/RIF-Based Algorithms Using a Non-Randomised

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  • 1Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.

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The Xpert® MTB/RIF test did not improve tuberculosis (TB) diagnostic yield compared to smear/culture methods in Cape Town. Further research is needed to optimize its use, especially for HIV-infected individuals.

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Area of Science:

  • Public Health
  • Infectious Disease Diagnostics
  • Clinical Microbiology

Background:

  • Tuberculosis (TB) remains a significant global health challenge, necessitating accurate and efficient diagnostic tools.
  • Traditional smear microscopy and culture methods for TB diagnosis have limitations in sensitivity and turnaround time.
  • The Xpert® MTB/RIF assay was introduced as a potentially superior alternative for rapid TB detection.

Purpose of the Study:

  • To compare the diagnostic yield of TB using a smear/culture-based algorithm versus a newly introduced Xpert® MTB/RIF-based algorithm.
  • To evaluate the impact of transitioning to the Xpert® MTB/RIF algorithm on TB case detection rates in primary health services.
  • To analyze temporal trends in TB diagnostic yield over the study period.

Main Methods:

  • A non-randomized stepped-wedge design was employed across 60 primary health sites in Cape Town, South Africa.
  • Sputum test sequences for presumptive TB cases were extracted from an electronic laboratory database over seven time-points.
  • Binomial regression models were used to estimate differences in TB yield and temporal trends, adjusting for algorithm transition and time.

Main Results:

  • Initial TB diagnostic yield was 20.9% for smear/culture and 17.9% for Xpert® MTB/RIF.
  • A significant decline in TB yield was observed over time (-0.9% per time-point).
  • After adjusting for temporal trends, no significant difference in TB yield was found between the two algorithms (19.1% vs. 19.3%).

Conclusions:

  • The implementation of the Xpert® MTB/RIF algorithm did not result in an increased TB diagnostic yield as anticipated.
  • Further studies are recommended to investigate adherence to the Xpert® negative algorithm, particularly for HIV-infected individuals, to potentially improve yield.
  • Given the high cost of Xpert®, a re-evaluation of its role as a universal screening test for all presumptive TB cases may be necessary.