Evaluation of a commercial multiplex PCR for diagnosis of central nervous system (CNS) nosocomial infections.

J Microbiol Methods

Translational Microbiology Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Ave Roma s.n., 33011 Oviedo, Spain; Service of Microbiology, Hospital Universitario Central de Asturias, Ave Roma s.n., 33011 Oviedo, Spain. Electronic address:

Published: April 2020

AI Article Synopsis

  • Nosocomial Central Nervous System (CNS) infections can arise from neurosurgery and are challenging to diagnose, often relying on microbial cultures.
  • This study assessed the FilmArray® Blood Culture Identification (BCID) panel, focusing on its ability to quickly identify common causes of sepsis in these infections.
  • Results showed the BCID panel achieved a sensitivity of 77.4% and specificity of 100%, with improved sensitivity at 83.9% by adjusting the cut-off, indicating its potential as a valuable diagnostic tool, though more research is needed for clinical use.

Article Abstract

Nosocomial Central Nervous System (CNS) infections are often serious complications of neurosurgical procedures. Their diagnosis is complex and frequently based on microbiological culture. The aim of this work was to evaluate the effectiveness of the FilmArray® Blood Culture Identification (BCID) panel, a multiplex PCR designed to identify the most common etiologic agents of sepsis involved with nosocomial CNS infections. A total of ninety samples were analyzed with the BCID panel. The sensitivity and specificity achieved were 77.4% and 100% respectively, when compared with the reference method (culture). Based on the analysis of the melting curves, another cut-off was established improving sensitivity to 83.9% whilst maintaining 98.3% specificity. The BCID panel seems to be a helpful tool for the prompt diagnosis of CNS nosocomial infections. The cut-off proposed here can increase sensitivity, but further studies are required to confirm its effectiveness and its applicability in clinical microbiology laboratories.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.mimet.2020.105865DOI Listing

Publication Analysis

Top Keywords

bcid panel
12
multiplex pcr
8
central nervous
8
nervous system
8
system cns
8
cns nosocomial
8
nosocomial infections
8
cns infections
8
evaluation commercial
4
commercial multiplex
4

Similar Publications

Article Synopsis
  • * The study analyzed a total of 174 monomicrobial blood cultures, finding that the majority of targeted Gram-negative and all Gram-positive organisms were successfully identified, demonstrating high sensitivity and specificity for detecting specific resistance mechanisms.
  • * Overall, the QIAstat-Dx kits showed strong correlation in both pathogen identification and predicting β-lactam resistance, marking significant progress in rapid diagnostic methods for blood infections.
View Article and Find Full Text PDF

Unlabelled: Rapid identification of methicillin-susceptible (MSSA) bacteremia may optimize antibiotic use and clinical outcomes. The study objective was to assess the impact of the BioFire® blood culture identification (BCID) polymerase chain reaction (PCR) panel on antibiotic use and clinical outcomes in patients with MSSA bacteremia. This was a retrospective chart review of adult inpatients with MSSA bacteremia during the pre-PCR (June 2018-December 2019) and post-PCR (June 2020-December 2021) implementation periods.

View Article and Find Full Text PDF

Unlabelled: The QIAstat-Dx BCID Panels (RUO) ("QIAstat," QIAGEN, Hilden, Germany) for identification of 13 Gram-negative bacteria and 18 antimicrobial resistance (AMR) gene groups was evaluated. The study was conducted in two phases; in phase 1, analytical performance was evaluated against 154 challenge isolates against whole genome sequencing data. In this phase, sensitivity and specificity of organism identification calls were 153/154 (99.

View Article and Find Full Text PDF

Objectives: To outline the procedural implementation and optimization of rapid diagnostic test (RDT) results for bloodstream infections (BSIs) and to evaluate the combination of RDTs with real-time antimicrobial stewardship team (AST) support plus clinical surveillance platform (CSP) software on time to appropriate therapy in BSIs at a single health system.

Methods: Blood culture reporting and communication were reported for four time periods: (i) a pre-BCID [BioFire® FilmArray® Blood Culture Identification (BCID) Panel] implementation period that consisted of literature review and blood culture notification procedure revision; (ii) a BCID implementation period that consisted of BCID implementation, real-time results notification via CSP, and creation of a treatment algorithm; (iii) a post-BCID implementation period; and (iv) a BCID2 implementation period. Time to appropriate therapy metrics was reported for the BCID2 time period.

View Article and Find Full Text PDF
Article Synopsis
  • - The study evaluated the impact of the BioFire® FilmArray® blood culture identification panels on the time to optimal therapy (TTOT) for bacteremia caused by specific organisms at two community hospitals.
  • - Results showed no significant differences in overall TTOT between groups before and after implementing the BCID panels, but BCID2 saw more timely therapy adjustments and effective carbapenem use for gram-negative bacteria.
  • - There was also a notable decrease in the length of vancomycin treatment for gram-positive bacteria after BCID2 was implemented, indicating improved antimicrobial prescribing practices.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!

A PHP Error was encountered

Severity: Notice

Message: fwrite(): Write of 34 bytes failed with errno=28 No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 272

Backtrace:

A PHP Error was encountered

Severity: Warning

Message: session_write_close(): Failed to write session data using user defined save handler. (session.save_path: /var/lib/php/sessions)

Filename: Unknown

Line Number: 0

Backtrace: