Background: Nucleic acid amplification (NAA) tests rapidly detect Mycobacterium tuberculosis complex directly from clinical specimens, providing valuable results for those evaluated for tuberculosis. Methods: We analyzed characteristics of cases with NAA testing performed, compared cases with positive and negative NAA test results, and calculated turnaround time and time to treatment for all verified cases reported to the National Tuberculosis Surveillance System in the United States during 2011-2017. Results: Among 67082 verified tuberculosis cases with NAA testing information, 30820 (45.9%) were reported as not having an NAA test performed; the proportion without NAA testing declined annually, from 60.5% in 2011 to 33.6% in 2017. Of 67082 verified cases, 27912 (41.6%) had positive, 8215 (12.2%) had negative, and 135 (0.2%) had indeterminate NAA test results. Among the 33937 cases with an acid-fast bacilli (AFB) smear-positive result, 24093 (70.9%) had an NAA test performed; 11490 of the 30244 (38.0%) with an AFB smear-negative result had an NAA test performed. Although sputum was the most common specimen type tested, 79.8% (7023/8804) of nonsputum specimen types had a positive NAA test result. Overall, 63.7% of cases with laboratory testing had NAA test results reported <6 days following specimen collection; for 13891 cases not yet on treatment, median time to treatment after the laboratory report date was 2 days. Conclusions: Our analyses demonstrate increased NAA test utilization between 2011 and 2017. However, a large proportion of cases did not have an NAA test performed, reflecting challenges in broader uptake, suggesting an opportunity to expand use of this diagnostic methodology. Published by Oxford University Press on behalf of Infectious Diseases Society of America 2021.
Background: Nucleic acid amplification (NAA) tests rapidly detect Mycobacterium tuberculosis complex directly from clinical specimens, providing valuable results for those evaluated for tuberculosis. Methods: We analyzed characteristics of cases with NAA testing performed, compared cases with positive and negative NAA test results, and calculated turnaround time and time to treatment for all verified cases reported to the National Tuberculosis Surveillance System in the United States during 2011-2017. Results: Among 67082 verified tuberculosis cases with NAA testing information, 30820 (45.9%) were reported as not having an NAA test performed; the proportion without NAA testing declined annually, from 60.5% in 2011 to 33.6% in 2017. Of 67082 verified cases, 27912 (41.6%) had positive, 8215 (12.2%) had negative, and 135 (0.2%) had indeterminate NAA test results. Among the 33937 cases with an acid-fast bacilli (AFB) smear-positive result, 24093 (70.9%) had an NAA test performed; 11490 of the 30244 (38.0%) with an AFB smear-negative result had an NAA test performed. Although sputum was the most common specimen type tested, 79.8% (7023/8804) of nonsputum specimen types had a positive NAA test result. Overall, 63.7% of cases with laboratory testing had NAA test results reported <6 days following specimen collection; for 13891 cases not yet on treatment, median time to treatment after the laboratory report date was 2 days. Conclusions: Our analyses demonstrate increased NAA test utilization between 2011 and 2017. However, a large proportion of cases did not have an NAA test performed, reflecting challenges in broader uptake, suggesting an opportunity to expand use of this diagnostic methodology. Published by Oxford University Press on behalf of Infectious Diseases Society of America 2021.
Authors: David M Lewinsohn; Michael K Leonard; Philip A LoBue; David L Cohn; Charles L Daley; Ed Desmond; Joseph Keane; Deborah A Lewinsohn; Ann M Loeffler; Gerald H Mazurek; Richard J O'Brien; Madhukar Pai; Luca Richeldi; Max Salfinger; Thomas M Shinnick; Timothy R Sterling; David M Warshauer; Gail L Woods Journal: Clin Infect Dis Date: 2016-12-08 Impact factor: 9.079
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Authors: Danica Helb; Martin Jones; Elizabeth Story; Catharina Boehme; Ellen Wallace; Ken Ho; JoAnn Kop; Michelle R Owens; Richard Rodgers; Padmapriya Banada; Hassan Safi; Robert Blakemore; N T Ngoc Lan; Edward C Jones-López; Michael Levi; Michele Burday; Irene Ayakaka; Roy D Mugerwa; Bill McMillan; Emily Winn-Deen; Lee Christel; Peter Dailey; Mark D Perkins; David H Persing; David Alland Journal: J Clin Microbiol Date: 2009-10-28 Impact factor: 5.948
Authors: Alexander J Millman; David W Dowdy; Cecily R Miller; Robert Brownell; John Z Metcalfe; Adithya Cattamanchi; J Lucian Davis Journal: PLoS One Date: 2013-11-20 Impact factor: 3.240