Novel automated AIMLAM for diagnosis of
Mycobacterium tuberculosis
Liang Ruixia,
Li Jiankang,
Shi Hongmei
et al.
Abstract:Aim: A rapid and precise diagnostic method is crucial for timely intervention and management of tuberculosis. The present study compared the diagnostic accuracy of a novel lipoarabinomannan (LAM) antigen test, AIMLAM, for tuberculosis in urine samples. Methodology: The study subjected 106 TB suspects to smear microscopy, MGIT, GeneXpert and AIMLAM. Results: Among 106, smear microscopy identified 36 as positive (33%) (sensitivity; 70.93%, 95% CI (60.14–80.22%), while MGIT showed 38 positive (36.8%). GeneXpert d… Show more
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