Novel Assays/Applications for Patients Suspected of Mycobacterial Diseases

被引:2
作者
Banaei, Niaz [1 ]
Musser, Kimberlee A. [2 ]
Salfinger, Max [3 ,4 ]
Somoskovi, Akos [5 ]
Zelazny, Adrian M. [6 ]
机构
[1] Stanford Univ, Sch Med, Room 1602,3375 Hillview Ave, Palo Alto, CA 94304 USA
[2] New York State Dept Hlth, Wadsworth Ctr, 120 New Scotland Ave, Albany, NY 12208 USA
[3] Univ S Florida, Coll Publ Hlth, 13201 Bruce B Downs Blvd,MDS 56, Tampa, FL 33612 USA
[4] Univ S Florida, Morsani Coll Med, 13201 Bruce B Downs Blvd,MDS 56, Tampa, FL 33612 USA
[5] Roche Mol Syst Inc, Pleasanton, CA 94588 USA
[6] NIH, Bldg 10,Room 2C-385,10 Ctr Dr MSC 1508, Bethesda, MD 20892 USA
关键词
Mycobacterium tuberculosis; Nontuberculous mycobacteria; Minimal inhibitory concentration; Molecular drug resistance; MALDI-TOF mass spectrometry; Nucleic acid amplification testing; Whole genome sequencing; Tuberculosis; DESORPTION IONIZATION-TIME; FLIGHT MASS-SPECTROMETRY; MALDI-TOF MS; NONTUBERCULOUS MYCOBACTERIA; DRUG-RESISTANCE; UNITED-STATES; VITEK MS; MDR-TB; TUBERCULOSIS; IDENTIFICATION;
D O I
10.1016/j.cll.2020.08.010
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Although tuberculosis is slowly decreasing, nontuberculous mycobacterial lung disease is significantly increasing. We describe new methods and applications for faster turnaround times in the diagnosis of tuberculosis and nontuberculous mycobacterial lung disease and have included the latest mycobacterial taxonomy. Although the focus is mainly on molecular assays, we also discuss improvements of acid-fast bacilli smear microscopy and stress the need for performing minimal inhibitory concentration determinations especially for tuberculosis. Additionally, important considerations for negative nucleic acid amplification assay results used for releasing tuberculosis suspects from airborne infection isolation rooms saving precious resources for the health care system, are also included.
引用
收藏
页码:535 / 552
页数:18
相关论文
共 92 条
  • [91] World Health Organization, 2017, ETH GUID IMPL END TB
  • [92] Automatic detection of mycobacterium tuberculosis using artificial intelligence
    Xiong, Yan
    Ba, Xiaojun
    Hou, Ao
    Zhang, Kaiwen
    Chen, Longsen
    Li, Ting
    [J]. JOURNAL OF THORACIC DISEASE, 2018, 10 (03) : 1936 - 1940