Performance of a predictive rule to distinguish bacterial and viral meningitis

被引:42
作者
Chavanet, Pascal
Schaller, Celine
Levy, Corine
Flores-Cordero, Juan
Arens, Max
Piroth, Lionel
Bingen, Edouard
Portier, Henri
机构
[1] Univ Hosp, Hop Bocage, Serv Malad Infect, F-21000 Dijon, France
[2] Assoc Clin & Therapeut Infantile Val Marne, Saint Maur, France
[3] Groupement Pathol Infect Pediat, Saint Maur, France
[4] Univ Hosp Virgen Rocio, Crit Care & Emergency Dept, Seville, Spain
[5] Washington Univ, Sch Med, Dept Pediat, St Louis, MO 63110 USA
关键词
acute meningitis; scoring tools; diagnosis of bacterial meningitis;
D O I
10.1016/j.jinf.2006.06.009
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objective: Although diagnostic performance has recently improved by using new diagnostic methodologies, acute patient management is usually initiated after considering only fairly elementary findings of CSF examination. Using these early findings it is often difficult to distinguish between bacteria[ and aseptic (viral) meningitis. In order to help distinguish these two categories, scoring toots have been proposed that are more or less complex and validated. Methods: The aim of this study was to establish a simple scoring toot and compare it to other available decision making systems. We retrospectively analysed all the meningitis cases from our patients at our institution and established a scoring toot for pediatric meningitis and for meningitis in adults by using categorized analysis tree methodology. Results: Main categories for bacterial etiology were, leucocytosis > 15 giga, CSF leucocytes count > 1700 per ml, CSF neutrophit percentage > 80, CSF protein > 2.3 g/l and glucose CSF/ blood ratio < 0.33 for adults and CSF leucocytes count > 1800, CSF neutrophil percentage > 80, CSF protein > 1.2 g/l and glucose CSF/blood ratio < 0.3 for children. Additionally, our new scoring toot and five published ones were compared using our data and two external data sets; from these scores, three, including ours, exhibited good sensitivity and specificity. We then performed several thousand Monte Carlo simulations of both bacteria[ and viral meningitis for children and adults. We found that our scoring toot (Meningitest) had very high performances with positive and negative predictive values of 97% and 94%, respectively. Conclusion: Thus, from this analysis of five meningitis scoring systems, we believe that our new toot is simple, does not need any complex calculation and is effective in identifying bacterial vs viral meningitis in fully immunocompetent children and adults. (c) 2006 The British Infection Society. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:328 / 336
页数:9
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