Literature DB >> 12435105

Reduction of the rate of false-positive cultures of Mycobacterium tuberculosis in a laboratory with a high culture positivity rate.

Nora M Carroll1, Madalene Richardson, Erica Engelke, Marianna de Kock, Carl Lombard, Paul D van Helden.   

Abstract

Our laboratory, engaged in a prospective study of adult pulmonary tuberculosis, processed on average 1186 sputum samples per year for the detection of Mycobacterium tuberculosis (M. tuberculosis). Approximately 55% of all sputum samples were culture-positive. The study protocol required that all patients had their M. tuberculosis isolates DNA fingerprinted at diagnosis, and at subsequent time points if the patients either failed treatment or presented again with tuberculosis. Over a 22-month period, there were 14 apparent treatment failures from 109 patients who had completed 6 months of therapy. Only two of these were true treatment failures, while the other 12 had DNA fingerprints that were different from those obtained at diagnosis. It was concluded that these 12 cultures represented episodes of laboratory cross-contamination. Retrospective DNA fingerprinting of patient isolates was done so that each patient had at least two independent isolates fingerprinted. This survey revealed that 7.3% of DNA fingerprints were discordant. False-positive cultures with discordant DNA fingerprints generally arose late in chemotherapy and the isolates were usually co-processed with other strongly smear-positive sputum samples. Simple modifications of laboratory procedures were made, and over a following 10.5-month period the false-positive rate was reduced to 2.1%. These modifications did not increase the workload or the cost of processing samples and can thus be used successfully by any laboratory, and particularly by those in resource-poor settings.

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Year:  2002        PMID: 12435105     DOI: 10.1515/CCLM.2002.157

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  10 in total

1.  Criteria for identification of cross-contamination of cultures of Mycobacterium tuberculosis in routine microbiology laboratories.

Authors:  Nora M Carroll; Madalene Richardson; Paul D van Helden
Journal:  J Clin Microbiol       Date:  2003-05       Impact factor: 5.948

2.  Impact of laboratory cross-contamination on molecular epidemiology studies of tuberculosis.

Authors:  Miguel Martínez; Darío García de Viedma; María Alonso; Sandra Andrés; Emilio Bouza; Teresa Cabezas; Isabel Cabeza; Armando Reyes; Waldo Sánchez-Yebra; Manuel Rodríguez; M Isabel Sánchez; M Cruz Rogado; Rosa Fernández; Teresa Peñafiel; Juan Martínez; Pilar Barroso; M Angeles Lucerna; L Felipe Diez; Carmelo Gutiérrez
Journal:  J Clin Microbiol       Date:  2006-08       Impact factor: 5.948

3.  Improvement in mycobacterial yield and reduced time to detection in pediatric samples by use of a nutrient broth growth supplement.

Authors:  W Brittle; B J Marais; A C Hesseling; H S Schaaf; M Kidd; E Wasserman; T Botha
Journal:  J Clin Microbiol       Date:  2009-03-11       Impact factor: 5.948

4.  Changes in leucocyte and lymphocyte subsets during tuberculosis treatment; prominence of CD3dimCD56+ natural killer T cells in fast treatment responders.

Authors:  H Veenstra; R Baumann; N M Carroll; P T Lukey; M Kidd; N Beyers; C T Bolliger; P D van Helden; G Walzl
Journal:  Clin Exp Immunol       Date:  2006-08       Impact factor: 4.330

5.  Laboratory Cross-Contamination of Mycobacterium tuberculosis: A Systematic Review and Meta-analysis.

Authors:  Aleksandra Barac; Hannah Karimzadeh-Esfahani; Mahya Pourostadi; Mohammad Taghi Rahimi; Ehsan Ahmadpour; Jalil Rashedi; Behroz Mahdavipoor; Hossein Samadi Kafil; Adel Spotin; Kalkidan Hassen Abate; Alexander G Mathioudakis; Mohammad Asgharzadeh
Journal:  Lung       Date:  2019-06-15       Impact factor: 2.584

6.  The realistic performance achievable with mycobacterial automated culture systems in high and low prevalence settings.

Authors:  Sanne C van Kampen; Richard M Anthony; Paul R Klatser
Journal:  BMC Infect Dis       Date:  2010-04-12       Impact factor: 3.090

7.  Infrequent MODS TB culture cross-contamination in a high-burden resource-poor setting.

Authors:  David A J Moore; Luz Caviedes; Robert H Gilman; Jorge Coronel; Fanny Arenas; Doris LaChira; Cayo Salazar; Juan Carlos Saravia; Richard A Oberhelman; Maria-Graciela Hollm-Delgado; A Roderick Escombe; Carlton A W Evans; Jon S Friedland
Journal:  Diagn Microbiol Infect Dis       Date:  2006-05-06       Impact factor: 2.803

8.  Differential expression of interleukin-4 (IL-4) and IL-4 delta 2 mRNA, but not transforming growth factor beta (TGF-beta), TGF-beta RII, Foxp3, gamma interferon, T-bet, or GATA-3 mRNA, in patients with fast and slow responses to antituberculosis treatment.

Authors:  Joel Fleury Djoba Siawaya; Nchinya Bennedict Bapela; Katharina Ronacher; Nulda Beyers; Paul van Helden; Gerhard Walzl
Journal:  Clin Vaccine Immunol       Date:  2008-06-25

9.  Mycobacterium tuberculosis transmission is not related to household genotype in a setting of high endemicity.

Authors:  B J Marais; A C Hesseling; H S Schaaf; R P Gie; P D van Helden; R M Warren
Journal:  J Clin Microbiol       Date:  2009-03-04       Impact factor: 5.948

10.  High prevalence of tuberculosis in previously treated patients, Cape Town, South Africa.

Authors:  Saskia den Boon; Schalk W P van Lill; Martien W Borgdorff; Donald A Enarson; Suzanne Verver; Eric D Bateman; Elvis Irusen; Carl J Lombard; Neil W White; Christine de Villiers; Nulda Beyers
Journal:  Emerg Infect Dis       Date:  2007-08       Impact factor: 6.883

  10 in total

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