1. Moderate positive predictive value of a multiplex real-time PCR on whole blood for pathogen detection in critically ill patients with sepsis
- Author
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van de Groep, Kirsten, Bos, Martine P., Varkila, Meri R. J., Savelkoul, Paul H. M., Ong, David S. Y., Derde, Lennie P. G., Juffermans, Nicole P., Bonten, Marc J. M., Cremer, Olaf L., de Beer, Friso M., Bos, Lieuwe D. J., Glas, Gerie J., Hoogendijk, Arie J., van Hooijdonk, Roosmarijn T. M., Horn, Janneke, Huson, Mischa A., van der Poll, Tom, Schouten, Laura R. A., Scicluna, Brendon, Schultz, Marcus J., Straat, Marleen, van Vught, Lonneke A., Wieske, Luuk, Wiewel, Maryse A., Witteveen, Esther, Frencken, Jos F., Klouwenberg, Peter M. C. Klein, Koster-Brouwer, Maria E., Verboom, Diana M., MUMC+: DA Medische Microbiologie en Infectieziekten (5), Med Microbiol, Infect Dis & Infect Prev, RS: NUTRIM - R2 - Liver and digestive health, RS: CAPHRI - R4 - Health Inequities and Societal Participation, Medical Microbiology and Infection Prevention, AGEM - Digestive immunity, AII - Infectious diseases, Amsterdam Reproduction & Development (AR&D), Division 1, Intensive Care Medicine, Center of Experimental and Molecular Medicine, Infectious diseases, ACS - Diabetes & metabolism, ACS - Pulmonary hypertension & thrombosis, and ACS - Microcirculation
- Subjects
Male ,0301 basic medicine ,Microbiology (medical) ,medicine.medical_specialty ,Diagnostic research ,Multiplex real-time PCR ,Critical Illness ,030106 microbiology ,Pathogen detection ,Real-Time Polymerase Chain Reaction ,law.invention ,Sepsis ,03 medical and health sciences ,0302 clinical medicine ,Medical microbiology ,Predictive Value of Tests ,law ,Intensive care ,Internal medicine ,Journal Article ,medicine ,Humans ,Multiplex ,Prospective Studies ,030212 general & internal medicine ,Aged ,Whole blood ,Critically ill ,business.industry ,General Medicine ,Middle Aged ,medicine.disease ,Intensive care unit ,Blood ,Infectious Diseases ,Real-time polymerase chain reaction ,INFECTIONS ,Female ,Original Article ,business ,Multiplex Polymerase Chain Reaction - Abstract
A novel multiplex real-time PCR for bloodstream infections (BSI-PCR) detects pathogens directly in blood. This study aimed at determining the positive predictive value (PPV) of BSI-PCR in critically ill patients with sepsis. We included consecutive patients with presumed sepsis upon admission to the intensive care unit (ICU). The multiplexed BSI-PCR included 17 individual PCRs for a broad panel of species- and genus-specific DNA targets. BSI-PCR results were compared with a reference diagnosis for which plausibility of infection and causative pathogen(s) had been prospectively assessed by trained observers, based on available clinical and microbiological evidence. PPV and false positive proportion (FPP) were calculated. Clinical plausibility of discordant positive results was adjudicated by an expert panel. Among 325 patients, infection likelihood was categorized as confirmed, uncertain, and ruled out in 210 (65%), 88 (27%), and 27 (8%) subjects, respectively. BSI-PCR identified one or more microorganisms in 169 (52%) patients, of whom 104 (61%) had at least one detection in accordance with the reference diagnosis. Discordant positive PCR results were observed in 95 patients, including 30 subjects categorized as having an “unknown” pathogen. Based on 5525 individual PCRs yielding 295 positive results, PPV was 167/295 (57%) and FPP was 128/5525 (2%). Expert adjudication of the 128 discordant PCR findings resulted in an adjusted PPV of 68% and FPP of 2%. BSI-PCR was all-negative in 156 patients, including 79 (51%) patients in whom infection was considered ruled out. BSI-PCR may complement conventional cultures and expedite the microbiological diagnosis of sepsis in ICU patients, but improvements in positive predictive value of the test are warranted before its implementation in clinical practice can be considered. Electronic supplementary material The online version of this article (10.1007/s10096-019-03616-w) contains supplementary material, which is available to authorized users.
- Published
- 2019
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