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3 results on '"Militsa-Bitsani"'

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

Author

Pulido, M.R. Moreno-Martínez, P. González-Galán, V. Fernández Cuenca, F. Pascual, Á. Garnacho-Montero, J. Antonelli, M. Dimopoulos, G. Lepe, J.A. McConnell, M.J. Cisneros, J.M. Ramírez Gallmore, P. Bonastre, J. Montejo González, J.C. Díaz-Miguel, R.O. García, A.E. Crespo, R.Z. Camerino, R.S. Gutiérrez, M.H. Alvarez-Rocha, L. Sanchez Garcia, M. Allegue Gallego, J.M. Castellanos Ortega, Á. de la Torre Prados, M.V. Roca, R.F. Cortés, P.V. Armaganidis, A. Serafim Georgopoulos, D. Pneumatikos, L. Nakos, G. Baltopoulos, G. Koutsoukou, A. Zakynthinos, E. Militsa-Bitsani Komnos, A. Pennisi, M. DePascale, G. DiGravio, V. Rocco, M. De Blasi, R. De Gasperi, A. Ranieri- Francesco de Rosa, V.M. De Robertis-Rosalba, E. Guarracino the MagicBullet Working Group

Abstract

Objective: To 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. Methods: In 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. Results: Pseudomonas 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. Conclusions: The 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. © 2018 European Society of Clinical Microbiology and Infectious Diseases

Published
2018

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

Author

Pulido, M. R., Moreno-Martinez, P., Gonzalez-Galan, V., Fernandez Cuenca, F., Pascual, A., Garnacho-Montero, J., Antonelli, Massimo, Dimopoulos, G., Lepe, J. A., Mcconnell, M. J., Cisneros, J. M., Ramirez Gallmore, P., Bonastre, J., Montejo Gonzalez, J. C., Diaz-Miguel, R. O., Garcia, A. E., Crespo, R. Z., Camerino, R. S., Gutierrez, M. H., Alvarez-Rocha, L., Sanchez Garcia, M., Allegue Gallego, J. M., Castellanos Ortega, A., de la Torre Prados, M. V., Roca, R. F., Cortes, P. V., Armaganidis, A., Serafim, Georgopoulos, D., Pneumatikos, L., Nakos, G., Baltopoulos, G., Koutsoukou, A., Zakynthinos, E., Militsa-Bitsani, Komnos, A., Pennisi, Mariano Alberto, Depascale, G., Digravio, V., Rocco, M., De Blasi, R., De Gasperi, A., Ranieri- Francesco de Rosa, V. M., De Robertis-Rosalba, E., Guarracino, Antonelli M. (ORCID:0000-0003-3007-1670), Pennisi M. (ORCID:0000-0001-8761-5144), Pulido, M. R., Moreno-Martinez, P., Gonzalez-Galan, V., Fernandez Cuenca, F., Pascual, A., Garnacho-Montero, J., Antonelli, Massimo, Dimopoulos, G., Lepe, J. A., Mcconnell, M. J., Cisneros, J. M., Ramirez Gallmore, P., Bonastre, J., Montejo Gonzalez, J. C., Diaz-Miguel, R. O., Garcia, A. E., Crespo, R. Z., Camerino, R. S., Gutierrez, M. H., Alvarez-Rocha, L., Sanchez Garcia, M., Allegue Gallego, J. M., Castellanos Ortega, A., de la Torre Prados, M. V., Roca, R. F., Cortes, P. V., Armaganidis, A., Serafim, Georgopoulos, D., Pneumatikos, L., Nakos, G., Baltopoulos, G., Koutsoukou, A., Zakynthinos, E., Militsa-Bitsani, Komnos, A., Pennisi, Mariano Alberto, Depascale, G., Digravio, V., Rocco, M., De Blasi, R., De Gasperi, A., Ranieri- Francesco de Rosa, V. M., De Robertis-Rosalba, E., Guarracino, Antonelli M. (ORCID:0000-0003-3007-1670), and Pennisi M. (ORCID:0000-0001-8761-5144)

Abstract

Objective: To 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. Methods: In 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. Results: Pseudomonas 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. Conclusions: The 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.

Published
2018

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

Author

Luis Álvarez-Rocha, José Antonio Lepe, G. Nakos, Julio Cisneros, G De Pascale, Serafim, Apostolos Armaganidis, V. Di Gravio, Manuela Pennisi, Monica Rocco, Pulido M, Dimitris Georgopoulos, P. Ramírez Gallmore, J.C. Montejo González, Verónica González-Galán, George Dimopoulos, José Garnacho-Montero, Á. Castellanos Ortega, Ramón Roca, Antonia Koutsoukou, J.M. Allegue Gallego, Militsa-Bitsani, R.O. Díaz-Miguel, M.V. De La Torre Prados, A. García, V.M. Ranieri Francesco de Rosa, Michael J. McConnell, R. A. De Blasi, Álvaro Pascual, P.V. Cortés, G. Baltopoulos, M. Sánchez García, Epaminondas Zakynthinos, L. Pneumatikos, R.Z. Crespo, E. De Robertis-Rosalba, Guarracino, Massimo Antonelli, F. Fernández Cuenca, Apostolos Komnos, P. Moreno-Martínez, A. De Gasperi, Marcos Gutiérrez, R.S. Camerino, and J. Bonastre

Subjects
Male, 0301 basic medicine, Microbiology (medical), medicine.medical_specialty, Antibiotic resistance, Klebsiella pneumoniae, 030106 microbiology, Rapid diagnosis, Context (language use), medicine.disease_cause, FilmArray BCID panel, 03 medical and health sciences, Internal medicine, Settore MED/41 - ANESTESIOLOGIA, Pneumonia, Bacterial, medicine, Ventilator-associated pneumonia, Humans, Blood culture, antibiotic resistance, film array BCpannel, gram negative bacteria, rapid diagnosis, Bacteriological Techniques, Bacteria, biology, medicine.diagnostic_test, business.industry, Pseudomonas aeruginosa, Pneumonia, Ventilator-Associated, General Medicine, medicine.disease, biology.organism_classification, Acinetobacter baumannii, Pneumonia, Infectious Diseases, Blood Culture, Gram-negative bacteria, Female, business
Abstract

Objective To 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. Methods In 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. Results Pseudomonas 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. Conclusions The 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.

Published
2018
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