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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
The use of an automated quantitative polymerase chain reaction (Xpert MTB/RIF) to predict the sputum smear status of tuberculosis patients
Clinical Infectious Diseases, Volume 54, No. 3, Year 2012
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Description
Xpert MTB/RIF-generated cycle-threshold (C T) values have poor clinical utility as a rule-in test for smear positivity (cut-point ≤20.2; sensitivity 32.3%, specificity 97.1%) but moderately good rule-out value (cut-point >31.8; negative predictive value 80.0%). Thus, 20% of individuals with CT values >31.8 were erroneously ruled out as smear-negative. This group had a significantly lower sputum bacillary load relative to correctly classified smear-positive patients (C T ≤ 31.8; P <. 001). These data inform on public health and contact tracing strategies. © The Author 2011. Published by Oxford University Press on behalf of the Infectious.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC3258275/bin/supp_54_3_384__index.html
https://efashare.b-cdn.net/share/pmc/articles/PMC3258275/bin/supp_cir824_online_supplement_26_July.doc
Authors & Co-Authors
Theron, Grant
South Africa, Cape Town
University of Cape Town Lung Institute
Pinto, Lancelot M.
Canada, Montreal
Université Mcgill
Peter, Jonathan Grant
South Africa, Cape Town
University of Cape Town Lung Institute
Mishra, Hemant Kumar
India, New Delhi
All India Institute of Medical Sciences, new Delhi
Mishra, Hridesh Kumar
India, New Delhi
All India Institute of Medical Sciences, new Delhi
van Zyl-Smit, Richard N.
South Africa, Cape Town
University of Cape Town Lung Institute
Sharma, Surendra Kumar
India, New Delhi
All India Institute of Medical Sciences, new Delhi
Dheda, Keertan U.J.
South Africa, Cape Town
University of Cape Town Lung Institute
South Africa, Cape Town
University of Cape Town
United Kingdom, London
Ucl Medical School
Statistics
Citations: 42
Authors: 8
Affiliations: 5
Identifiers
Doi:
10.1093/cid/cir824
ISSN:
10584838
e-ISSN:
15376591
Study Approach
Quantitative