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Application of BioFire FilmArray Blood Culture Identification panel for rapid identification of the causative agents of ventilator-associated pneumonia

2018; Elsevier BV; Volume: 24; Issue: 11 Linguagem: Inglês

10.1016/j.cmi.2018.06.001

1469-0691

Marina R. Pulido, Patricia Moreno-Martínez, Verónica González-Galán, Felipe Fernández-Cuenca, Álvaro Pascual, José Garnacho‐Montero, Massimo Antonelli, George Dimοpoulos, José Antonio Lepe, Michael J. McConnell, José Miguel Cisneros, P. Ramírez Gallmore, Julia Bonastre, Juan Carlos Montejo González, R. Ortiz Díaz-Miguel, Andrea García, Rafael Zaragoza, Rafael Sierra Camerino, Manuel Herrera Gutiérrez, Luis Álvarez-Rocha, Miguel Sánchez García, Julio Gallego, Álvaro Castellanos-Ortega, M.V. De La Torre Prados, Ricard Ferrer, Pablo Vidal, Apostolos Armaganidis, Serafim, Dimitrios Georgopoulos, L. Pneumatikos, Γεώργιος Νάκος, George Baltopoulos, Antonia Koutsoukou, Epaminondas Zakynthinos, Militsa-Bitsani, A. Komnos, Mariano Alberto Pennisi, Gennaro De Pascale, Valentina Di Gravio, Monica Rocco, RA De Blasi, Andrea De Gasperi, V.M. Ranieri- Francesco de Rosa, Edoardo De Robertis, Guarracino,

Bacterial Identification and Susceptibility Testing

ObjectiveTo evaluate the ability of the BioFire FilmArray Blood Culture Identification (BCID) panel to rapidly detect pathogens producing late-onset ventilator-associated pneumonia (VAP), a severe infection often produced by Gram-negative bacteria. These microorganisms are frequently multidrug resistant and typically require broad-spectrum empiric treatment.MethodsIn the context of an international multicentre clinical trial (MagicBullet), respiratory samples were collected at the time of suspicion of VAP from 165 patients in 32 participating hospitals in Spain, Greece and Italy. Microorganisms were identified using the BCID panel and compared with results obtained by conventional microbiologic techniques.ResultsPseudomonas aeruginosa, Acinetobacter baumannii and Klebsiella pneumoniae were the most commonly identified species, representing 54.7% (70/128) of microorganisms. The BCID panel showed high global specificity (98.1%; 95% confidence interval, 96–100) and negative predictive values (96.6%) and a global sensitivity and positive predictive value of 78.6% (95% confidence interval, 70–88) and 87.3%, respectively, for these microorganisms. Importantly, the BCID panel provided results in only 1 hour directly from respiratory samples with minimal sample processing times.ConclusionsThe BCID panel may have clinical utility in rapidly ruling out microorganisms causing VAP, specifically multidrug-resistant Gram-negative species. This could facilitate the optimization of empiric treatment.