Evaluation of CHROMagar™ B. cepacia agar for the detection of Burkholderia cepacia complex species from sputum samples of patients with cystic fibrosis.

Burkholderia cepacia complex CHROMagar™ Chronic respiratory infections Cystic fibrosis

Journal

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology
ISSN: 1435-4373
Titre abrégé: Eur J Clin Microbiol Infect Dis
Pays: Germany
ID NLM: 8804297

Informations de publication

Date de publication:
23 May 2024
Historique:
received: 03 02 2024
accepted: 03 05 2024
medline: 23 5 2024
pubmed: 23 5 2024
entrez: 23 5 2024
Statut: aheadofprint

Résumé

Burkholderia cepacia complex (BCC) are non-fermenting Gram-negative bacteria that can chronically colonize the lungs of people with cystic fibrosis (pwCF), causing a severe and progressive respiratory failure, post-transplant complications and epidemic outbreaks. Therefore, rapid and accurate identification of these bacteria is relevant for pwCF, in order to facilitate early eradication and prevent chronic colonization. However, BCCs are often quite difficult to detect on culture media as they have a slow growth rate and can be hidden by other fast-growing microorganisms, including Pseudomonas aeruginosa and filamentous fungi. We evaluated the sensitivity of CHROMagar™ B. cepacia agar using 11 isolates from a well-characterized BCC collection, using BCA agar (Oxoid, UK) as a gold standard. We also studied 180 clinical sputum samples to calculate positive (PPV) and negative (NPV) predictive values. Furthermore, we used three of the well-characterized BCC isolates to determine the limit of detection (LOD). Eleven isolates grew on CHROMagar™ B. cepacia at 37ºC after 48 h. The NPV and PPV of CHROMagar™ B. cepacia were 100% and 87.5%, respectively. The LOD of CHROMagar™ B. cepacia was around 1 × 10 CHROMagar™ B. cepacia agar proved to have a very good sensitivity and specificity for the detection of clinical BCCs. Moreover, the chromogenic nature of the medium allowed us to clearly differentiate BCC from other Gram-negative species, filamentous fungi and yeasts, thereby facilitating the identification of contaminants.

Identifiants

pubmed: 38780755
doi: 10.1007/s10096-024-04845-4
pii: 10.1007/s10096-024-04845-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Instituto de Salud Carlos III
ID : Project PI19/01043
Organisme : Instituto de Salud Carlos III
ID : JR18/00034
Organisme : Instituto de Salud Carlos III
ID : CB21/13/00084

Informations de copyright

© 2024. The Author(s).

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Auteurs

Ainhize Maruri-Aransolo (A)

Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.

Juan de Dios Caballero (J)

Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain. juan.dcaballero@gmail.com.
CIBER de Enfermedades Infecciosas CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain. juan.dcaballero@gmail.com.

Malkoa Michelena (M)

Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.

María José Medina-Pascual (MJ)

Laboratorio de Referencia e Investigación en Taxonomía, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain.

Gema Carrasco (G)

Laboratorio de Referencia e Investigación en Taxonomía, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain.

Oscar Asensio (O)

Pediatric Pulmonology Unit, Consorci Corporació Sanitària Parc Taulí, Sabadell, Spain.

Maria Cols (M)

Pediatric Pulmonology Department and Cystic Fibrosis Unit, Hospital Sant Joan de Déu, Barcelona, Spain.

Rafael Cantón (R)

Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.
CIBER de Enfermedades Infecciosas CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain.

Classifications MeSH