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Diagnosing Pulmonary Tuberculosis with the Xpert MTB/RIF Test
Published on: April 9, 2012
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Intensified tuberculosis case finding among HIV-infected persons using a WHO symptom screen and Xpert(®) MTB/RIF
M W Adelman1, M Tsegaye2, R R Kempker1
1Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Summary
Active tuberculosis screening in people with HIV (PLHIV) using symptom checks and Xpert testing showed a high positive screen rate. Smear microscopy had low sensitivity for detecting TB in this population.
Area of Science:
- Infectious Diseases
- Public Health
- Clinical Diagnostics
Background:
- The World Health Organization (WHO) recommends active tuberculosis (TB) case-finding among people living with HIV (PLHIV) in high-burden settings.
- HIV clinics in high-burden areas face challenges in effectively identifying TB cases.
Purpose of the Study:
- To evaluate the effectiveness of combining a WHO-recommended symptom screen with the Xpert MTB/RIF test for enhanced TB case finding among PLHIV.
- To assess the diagnostic performance of symptom screening and smear microscopy in PLHIV.
Main Methods:
- A cross-sectional study was conducted in an HIV clinic in Addis Ababa, Ethiopia.
- PLHIV were screened for TB using a WHO-recommended symptom-based algorithm.
- Individuals with a positive symptom screen underwent diagnostic testing, including smear microscopy, culture, and Xpert MTB/RIF.
Main Results:
- Of 828 PLHIV, 39% had a positive symptom screen, with unscheduled clinic visits, low CD4 counts, and prior TB history as predictors.
- Active pulmonary TB was diagnosed in 6% of those with a positive symptom screen.
- Smear microscopy demonstrated poor sensitivity (30%) for TB detection compared to culture and Xpert.
Conclusions:
- A positive symptom screen is frequent among PLHIV, leading to a significant laboratory workload.
- Smear microscopy is not sensitive enough for diagnosing active TB disease in this population.
- Intensified TB case finding among PLHIV in high-burden areas requires substantial resources due to the high rate of positive symptom screens.
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