Literature DB >> 31096045

An automated smear microscopy system to diagnose tuberculosis in a high-burden setting.

Y Tan1, B Su1, X Cai1, P Guan1, X Liu1, P Ma1, H Zhou1, J Liu2, Y Pang3.   

Abstract

OBJECTIVES: TB-EASM (Howsome, Shanghai, China), an automated system combining smear preparation, staining and microscopy in a single platform, was evaluated for tuberculosis (TB) diagnosis in a high disease-burden setting.
METHODS: Sputum samples from individuals with pulmonary TB were processed in parallel using conventional manual smear microscopy (MS), TB-EASM, liquid culture and GeneXpert. Method sensitivity and specificity were compared with Mycobacterium tuberculosis detection by mycobacteria growth indicator tube (MGIT) and/or GeneXpert MTB/RIF.
RESULTS: Of 524 samples, 496 met evaluation criteria for study inclusion. The proportion of M. tuberculosis detected by TB-EASM was 28.2% (150/496), significantly higher than for MS (111/496, 21.2%, p 0.01) and comparable to the rate for MGIT (163/496, 32.9%, p > 0.05). For 190 M. tuberculosis-positive cases identified using MGIT and/or GeneXpert MTB/RIF, the reference standard detection methods, TB-EASM detected 140 positive cases, for an overall sensitivity rate of 73.7% (140/190, 95% CI 67.4-79.9), which was significantly higher than for MS (105/190, 55.3%, 95% CI 48.2-62.3, p < 0.01). Specificities were 96.7% (296/306, 95% CI 94.7-98.7) for TB-EASM and 98.0% (300/306, 95% CI 96.5-99.6) for MS.
CONCLUSION: TB-EASM outperformed conventional MS for M. tuberculosis detection in sputum specimens.
Copyright © 2019 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Automated; Diagnosis; Microscopy; TB-EASM; Tuberculosis

Mesh:

Year:  2019        PMID: 31096045     DOI: 10.1016/j.cmi.2019.04.033

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  3 in total

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  3 in total

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