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Rapid Diagnosis of Bloodstream Infections with PCR Followed by Mass Spectrometry

Overview of attention for article published in PLOS ONE, April 2013
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Title
Rapid Diagnosis of Bloodstream Infections with PCR Followed by Mass Spectrometry
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0062108
Pubmed ID
Authors

Elena Jordana-Lluch, Heather E. Carolan, Montserrat Giménez, Rangarajan Sampath, David J. Ecker, M. Dolores Quesada, Josep M. Mòdol, Fernando Arméstar, Lawrence B. Blyn, Lendell L. Cummins, Vicente Ausina, Elisa Martró

Abstract

Achieving a rapid microbiological diagnosis is crucial for decreasing morbidity and mortality of patients with a bloodstream infection, as it leads to the administration of an appropriate empiric antimicrobial therapy. Molecular methods may offer a rapid alternative to conventional microbiological diagnosis involving blood culture. In this study, the performance of a new technology that uses broad-spectrum PCR coupled with mass spectrometry (PCR/ESI-MS) was evaluated for the detection of microorganisms directly from whole blood. A total of 247 whole blood samples and paired blood cultures were prospectively obtained from 175 patients with a suspicion of sepsis. Both sample types were analyzed using the PCR/ESI-MS technology, and the results were compared with those obtained by conventional identification methods. The overall agreement between conventional methods and PCR/ESI-MS performed in blood culture aliquots was 94.2% with 96.8% sensitivity and 98.5% specificity for the molecular method. When comparing conventional methods with PCR/ESI-MS performed in whole blood specimens, the overall agreement was 77.1% with 50% sensitivity and 93.8% specificity for the molecular method. Interestingly, the PCR/ESI-MS technology led to the additional identification of 13 pathogens that were not found by conventional methods. Using the PCR/ESI-MS technology the microbiological diagnosis of bloodstream infections could be anticipated in about half of the patients in our setting, including a small but significant proportion of patients newly diagnosed. Thus, this promising technology could be very useful for the rapid diagnosis of sepsis in combination with traditional methods.

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Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Master 13 20%
Student > Ph. D. Student 8 12%
Student > Doctoral Student 4 6%
Professor 4 6%
Other 12 18%
Unknown 11 17%
Readers by discipline Count As %
Medicine and Dentistry 23 35%
Agricultural and Biological Sciences 12 18%
Immunology and Microbiology 8 12%
Engineering 4 6%
Computer Science 3 5%
Other 3 5%
Unknown 12 18%