BACKGROUND: Based on real-time polymerase chain reaction (PCR) technology, a broad-range 16S rDNA assay was validated and its performance was compared to that of an automated culture system to determine its usefulness for rapid routine screening of platelet concentrates (PCs). STUDY DESIGN AND METHODS: The presence of bacteria in pooled PCs was routinely assessed in an automated culturing system (BacT/ALERT, bioMerieux). The PCR assay was performed with DNA extracted from the same samples as used for culturing. DNA extraction was performed with a automated extraction system (MagNA Pure, Roche Diagnostics). PCR amplification was performed with a set of universal primers and probe targeting eubacterial 16S rDNA. RESULTS: A total of 2146 PCs were tested. Eighteen (0.83%) samples were found to be contaminated. These samples were positive for the presence of bacteria by both methods. All contaminants were identified as bacteria belonging to the common human skin flora. These included Propionibacterium spp. (n = 7), Staphylococcus spp. (n = 6), Bacillus spp. (n = 2), Micrococcus spp. (n = 2), and Peptostreptococcus spp. (n = 1). Estimation of the bacterial load in PCs by real-time PCR showed that the initial levels of contamination varied between 13.6 and 9 x 10(4) colony-forming unit equivalents per PCR procedure. CONCLUSIONS: Compared to culture in the BacT/ALERT system, the PCR assay had a sensitivity of 100 percent and a specificity of 100 percent. This real-time PCR assay has a much shorter turnaround time of 4 hours, which offers the possibility to test and obtain results on PCs before release or the day they are transfused. This would permit the withdrawal of contaminated PCs before transfusion.
BACKGROUND: Based on real-time polymerase chain reaction (PCR) technology, a broad-range 16S rDNA assay was validated and its performance was compared to that of an automated culture system to determine its usefulness for rapid routine screening of platelet concentrates (PCs). STUDY DESIGN AND METHODS: The presence of bacteria in pooled PCs was routinely assessed in an automated culturing system (BacT/ALERT, bioMerieux). The PCR assay was performed with DNA extracted from the same samples as used for culturing. DNA extraction was performed with a automated extraction system (MagNA Pure, Roche Diagnostics). PCR amplification was performed with a set of universal primers and probe targeting eubacterial 16S rDNA. RESULTS: A total of 2146 PCs were tested. Eighteen (0.83%) samples were found to be contaminated. These samples were positive for the presence of bacteria by both methods. All contaminants were identified as bacteria belonging to the common human skin flora. These included Propionibacterium spp. (n = 7), Staphylococcus spp. (n = 6), Bacillus spp. (n = 2), Micrococcus spp. (n = 2), and Peptostreptococcus spp. (n = 1). Estimation of the bacterial load in PCs by real-time PCR showed that the initial levels of contamination varied between 13.6 and 9 x 10(4) colony-forming unit equivalents per PCR procedure. CONCLUSIONS: Compared to culture in the BacT/ALERT system, the PCR assay had a sensitivity of 100 percent and a specificity of 100 percent. This real-time PCR assay has a much shorter turnaround time of 4 hours, which offers the possibility to test and obtain results on PCs before release or the day they are transfused. This would permit the withdrawal of contaminated PCs before transfusion.
Authors: Sebastian Philipp; Hartwig P Huemer; Eveline U Irschick; Christoph Gassner Journal: Transfus Med Hemother Date: 2010-01-07 Impact factor: 3.747
Authors: Henk S P Garritsen; Alex Xiu-Cheng Fan; Daniela Lenz; Horst Hannig; Xiao Yan Zhong; Robert Geffers; Werner Lindenmaier; Kurt E J Dittmar; Bernhard Wörmann Journal: Transfus Med Hemother Date: 2009-05-18 Impact factor: 3.747
Authors: Anna Maria Leo; Maria Monica Salvadego; Maria Grazia Piva; Graziano Ruffato; Sara Valverde; Ernesto Trabuio; Francesco Antico; Gianluca Gessoni Journal: Blood Transfus Date: 2007-07 Impact factor: 3.443
Authors: A Miglio; V Stefanetti; M T Antognoni; K Cappelli; S Capomaccio; M Coletti; F Passamonti Journal: J Vet Intern Med Date: 2016-10-13 Impact factor: 3.333
Authors: Jeremy A Garson; Poorvi Patel; Carl McDonald; Joanne Ball; Gillian Rosenberg; Kate I Tettmar; Susan R Brailsford; Tyrone Pitt; Richard S Tedder Journal: Transfusion Date: 2013-05-23 Impact factor: 3.157