Literature DB >> 27170017

Proposal for a New Score-Based Approach To Improve Efficiency of Diagnostic Laboratory Workflow for Acute Bacterial Meningitis in Adults.

Filippo Lagi1, Filippo Bartalesi2, Patrizia Pecile3, Tiziana Biagioli4, Anna Lucia Caldini4, Alessandra Fanelli4, Giuseppe Giannazzo5, Stefano Grifoni5, Luca Massacesi6,7, Alessandro Bartoloni1,2, Gian Maria Rossolini8,3,9,10.   

Abstract

Microbiological tests on cerebrospinal fluid (CSF) utilize a common urgent-care procedure that does not take into account the chemical and cytological characteristics of the CSF, resulting sometimes in an unnecessary use of human and diagnostic resources. The aim of this study was to retrospectively validate a simple scoring system (bacterial meningitis-Careggi score [BM-CASCO]) based on blood and CSF sample chemical/cytological parameters for evaluating the probability of acute bacterial meningitis (ABM) in adults. BM-CASCO (range, 0 to 6) was defined by the following parameters: CSF cell count, CSF protein levels, CSF lactate levels, CSF glucose-to-serum glucose ratio, and peripheral neutrophil count. BM-CASCO was retrospectively calculated for 784 cases of suspected ABM in adult subjects observed during a four-and-a-half-year-period (2010 to 2014) at the emergency department (ED) of a large tertiary-care teaching hospital in Italy. Among the 28 confirmed ABM cases (3.5%), Streptococcus pneumoniae was the most frequent cause (16 cases). All ABM cases showed a BM-CASCO value of ≥3. Most negative cases (591/756) exhibited a BM-CASCO value of ≤1, which was adopted in our laboratory as a cutoff to not proceed with urgent microbiological analysis of CSF in cases of suspected ABM in adults. During a subsequent 1-year follow-up, the introduction of the BM-CASCO in the diagnostic workflow of ABM in adults resulted in a significant decrease in unnecessary microbiological analysis, with no false negatives. In conclusion, BM-CASCO appears to be an accurate and simple scoring system for optimization of the microbiological diagnostic workflow of ABM in adults.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

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Year:  2016        PMID: 27170017      PMCID: PMC4922106          DOI: 10.1128/JCM.00149-16

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  19 in total

1.  Cerebrospinal fluid analysis.

Authors:  Dean A Seehusen; Mark M Reeves; Demitri A Fomin
Journal:  Am Fam Physician       Date:  2003-09-15       Impact factor: 3.292

2.  Differential diagnosis of acute meningitis. An analysis of the predictive value of initial observations.

Authors:  A Spanos; F E Harrell; D T Durack
Journal:  JAMA       Date:  1989-11-17       Impact factor: 56.272

3.  Practice guidelines for the management of bacterial meningitis.

Authors:  Allan R Tunkel; Barry J Hartman; Sheldon L Kaplan; Bruce A Kaufman; Karen L Roos; W Michael Scheld; Richard J Whitley
Journal:  Clin Infect Dis       Date:  2004-10-06       Impact factor: 9.079

4.  Bacterial meningitis with "normal" cerebrospinal fluid in adults: a report on five cases.

Authors:  P Domingo; J Mancebo; L Blanch; P Coll; A Net; J Nolla
Journal:  Scand J Infect Dis       Date:  1990

5.  Performance of a predictive rule to distinguish bacterial and viral meningitis.

Authors:  Pascal Chavanet; Céline Schaller; Corine Levy; Juan Flores-Cordero; Max Arens; Lionel Piroth; Edouard Bingen; Henri Portier
Journal:  J Infect       Date:  2006-08-02       Impact factor: 6.072

Review 6.  Diagnosis, initial management, and prevention of meningitis.

Authors:  David M Bamberger
Journal:  Am Fam Physician       Date:  2010-12-15       Impact factor: 3.292

7.  Distinguishing between bacterial and aseptic meningitis in children: European comparison of two clinical decision rules.

Authors:  François Dubos; Bartosz Korczowski; Denizmen A Aygun; Alain Martinot; Cristina Prat; Annick Galetto-Lacour; Juan Casado-Flores; Erdal Taskin; Francis Leclerc; Carlos Rodrigo; Alain Gervaix; Dominique Gendrel; Gérard Bréart; Martin Chalumeau
Journal:  Arch Dis Child       Date:  2010-07-26       Impact factor: 3.791

8.  Development and validation of a multivariable predictive model to distinguish bacterial from aseptic meningitis in children in the post-Haemophilus influenzae era.

Authors:  Lise E Nigrovic; Nathan Kuppermann; Richard Malley
Journal:  Pediatrics       Date:  2002-10       Impact factor: 7.124

9.  Epidemiology of bacterial meningitis in the USA from 1997 to 2010: a population-based observational study.

Authors:  Rodrigo Lopez Castelblanco; MinJae Lee; Rodrigo Hasbun
Journal:  Lancet Infect Dis       Date:  2014-08-04       Impact factor: 25.071

10.  Identifying low-risk patients for bacterial meningitis in adult patients with acute meningitis.

Authors:  Yasuharu Tokuda; Masahiro Koizumi; Gerald H Stein; Richard B Birrer
Journal:  Intern Med       Date:  2009-04-01       Impact factor: 1.271

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  1 in total

1.  Qualitative and Quantitative Comparison of Contrast-Enhanced Fluid-Attenuated Inversion Recovery, Magnetization Transfer Spin Echo, and Fat-Saturation T1-Weighted Sequences in Infectious Meningitis.

Authors:  Rajiv Azad; Mohit Tayal; Sheenam Azad; Garima Sharma; Rajendra Kumar Srivastava
Journal:  Korean J Radiol       Date:  2017-09-21       Impact factor: 3.500

  1 in total

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