Literature DB >> 10433567

Predictive value of cerebrospinal fluid (CSF) lactate level versus CSF/blood glucose ratio for the diagnosis of bacterial meningitis following neurosurgery.

S L Leib1, R Boscacci, O Gratzl, W Zimmerli.   

Abstract

The value of cerebrospinal fluid (CSF) lactate level and CSF/blood glucose ratio for the identification of bacterial meningitis following neurosurgery was assessed in a retrospective study. During a 3-year period, 73 patients fulfilled the inclusion criteria and could be grouped by preset criteria in one of three categories: proven bacterial meningitis (n = 12), presumed bacterial meningitis (n = 14), and nonbacterial meningeal syndrome (n = 47). Of 73 patients analyzed, 45% were treated with antibiotics and 33% with steroids at the time of first lumbar puncture. CSF lactate values (cutoff, 4 mmol/L), in comparison with CSF/blood glucose ratios (cutoff, 0.4), were associated with higher sensitivity (0.88 vs. 0.77), specificity (0.98 vs. 0.87), and positive (0.96 vs. 0.77) and negative (0.94 vs. 0.87) predictive values. In conclusion, determination of the CSF lactate value is a quick, sensitive, and specific test to identify patients with bacterial meningitis after neurosurgery.

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Year:  1999        PMID: 10433567     DOI: 10.1086/520184

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  33 in total

Review 1.  Infections in neurosurgery: using laboratory data to plan optimal treatment strategies.

Authors:  Erwin M Brown
Journal:  Drugs       Date:  2002       Impact factor: 9.546

2.  CSF lactate for accurate diagnosis of community-acquired bacterial meningitis.

Authors:  S Giulieri; C Chapuis-Taillard; K Jaton; A Cometta; C Chuard; O Hugli; R Du Pasquier; J Bille; P Meylan; O Manuel; O Marchetti
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-08-19       Impact factor: 3.267

3.  Effect of bacterial meningitis complicating severe head trauma upon brain microdialysis and cerebral perfusion.

Authors:  Anna Teresa Mazzeo; Ross Bullock
Journal:  Neurocrit Care       Date:  2005       Impact factor: 3.210

4.  How to differentiate bacterial from viral meningitis.

Authors:  Werner Zimmerli
Journal:  Intensive Care Med       Date:  2005-10-22       Impact factor: 17.440

5.  Nosocomial meningitis.

Authors:  Thomas P Bleck
Journal:  Curr Infect Dis Rep       Date:  2007-01       Impact factor: 3.725

6.  Evaluation of cerebrospinal fluid lactate and plasma lactate concentrations in anesthetized dogs with and without intracranial disease.

Authors:  Deanne Caines; Melissa Sinclair; Darren Wood; Alexander Valverde; Doris Dyson; Luis Gaitero; Stephanie Nykamp
Journal:  Can J Vet Res       Date:  2013-10       Impact factor: 1.310

7.  Handheld point-of-care cerebrospinal fluid lactate testing predicts bacterial meningitis in Uganda.

Authors:  Albert Majwala; Rebecca Burke; William Patterson; Relana Pinkerton; Conrad Muzoora; L Anthony Wilson; Christopher C Moore
Journal:  Am J Trop Med Hyg       Date:  2012-12-12       Impact factor: 2.345

8.  Quantification of cerebrospinal fluid lactic acid in the differential diagnosis between HIV chronic meningitis and opportunistic meningitis.

Authors:  Sérgio Monteiro de Almeida; Kátia Boritza; Laura Lucia Cogo; Luis Pessa; João França; Indianara Rota; Marisol Muro; Cléa Ribeiro; Sonia Mara Raboni; Luine Rosele Vidal; Meri Bordignon Nogueira; Ronald Ellis
Journal:  Clin Chem Lab Med       Date:  2011-02-11       Impact factor: 3.694

9.  Impact of round-the-clock CSF Gram stain on empirical therapy for suspected central nervous system infections.

Authors:  F Tissot; G Prod'hom; O Manuel; G Greub
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-07-04       Impact factor: 3.267

10.  Administrative codes combined with medical records based criteria accurately identified bacterial infections among rheumatoid arthritis patients.

Authors:  Nivedita M Patkar; Jeffrey R Curtis; Gim Gee Teng; Jeroan J Allison; Michael Saag; Carolyn Martin; Kenneth G Saag
Journal:  J Clin Epidemiol       Date:  2008-10-01       Impact factor: 6.437

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