Literature DB >> 15074565

A diagnostic decision rule for management of children with meningeal signs.

Rianne Oostenbrink1, Karel G M Moons, Carl G M Moons, Arda G Derksen-Lubsen, Diederick E Grobbee, Henriette A Moll.   

Abstract

In a previous study we devised a diagnostic decision rule to improve management of children with meningeal signs, suspected of having bacterial meningitis. The decision rule aimed to guide decisions on (1) whether a lumbar puncture is necessary in children with meningeal signs, and (2) which children need hospitalisation and empirical antibiotic treatment for bacterial meningitis. In this study we assessed the validity of this rule in an external population of four (paediatric) hospitals in The Netherlands. The decision rule included two scoring algorithms using symptoms, signs and quickly available blood and cerebrospinal fluid (CSF) laboratory tests. To evaluate the discriminative value of both algorithms, the absolute numbers of correctly diagnosed patients and the area under the receiver operator characteristic curve were estimated, and compared with the results from the original population (n = 360). In a 18 month period, we included 226 children, median age 2.2 years, who visited the emergency department with meningeal signs. Bacterial meningitis was present in 25 (11%). Using the scoring algorithms patients could be categorised in groups of increasing risk of bacterial meningitis. The discriminative values of the clinical and CSF algorithm in this new population were similar to those in the original population. In the total population of 586 children with meningeal signs, the rule selected 205 children (35%) who did not need a lumbar puncture and 366 children who did not need empirical treatment (62%). In conclusion, this diagnostic rule performed well in a new population of children with meningeal signs. This diagnostic decision rule is a valuable tool for the clinician when deciding to treat these children for bacterial meningitis and thus improving their management.

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Year:  2004        PMID: 15074565     DOI: 10.1023/b:ejep.0000017828.13995.76

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  29 in total

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1.  Linking surveillance to action: incorporation of real-time regional data into a medical decision rule.

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2.  Cerebrospinal Fluid Findings Are Poor Predictors of Appropriate FilmArray Meningitis/Encephalitis Panel Utilization in Pediatric Patients.

Authors:  Mimi R Precit; Rebecca Yee; Utsav Pandey; Margil Fahit; Cheryl Pool; Samia N Naccache; Jennifer Dien Bard
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3.  Clinical decision rules to distinguish between bacterial and aseptic meningitis.

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4.  The predictive value of the NICE "red traffic lights" in acutely ill children.

Authors:  Evelien Kerkhof; Monica Lakhanpaul; Samiran Ray; Jan Y Verbakel; Ann Van den Bruel; Matthew Thompson; Marjolein Y Berger; Henriette A Moll; Rianne Oostenbrink
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

Review 5.  Clinical decision rules for acute bacterial meningitis: current insights.

Authors:  Alain Viallon; Elisabeth Botelho-Nevers; Fabrice Zeni
Journal:  Open Access Emerg Med       Date:  2016-04-19

6.  Comparing Single vs. Combined Cerebrospinal Fluid Parameters for Diagnosing Full-Term Neonatal Bacterial Meningitis.

Authors:  Heyu Huang; Jintong Tan; Xiaohui Gong; Jing Li; Liping Wang; Min Xu; Xi Zhang; Yongjun Zhang; Lisu Huang
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7.  Performance of thirteen clinical rules to distinguish bacterial and presumed viral meningitis in Vietnamese children.

Authors:  Nguyen Tien Huy; Nguyen Thanh Hong Thao; Nguyen Anh Tuan; Nguyen Tuan Khiem; Christopher C Moore; Doan Thi Ngoc Diep; Kenji Hirayama
Journal:  PLoS One       Date:  2012-11-28       Impact factor: 3.240

8.  How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

Authors:  Jan Y Verbakel; Ann Van den Bruel; Matthew Thompson; Richard Stevens; Bert Aertgeerts; Rianne Oostenbrink; Henriette A Moll; Marjolein Y Berger; Monica Lakhanpaul; David Mant; Frank Buntinx
Journal:  BMC Med       Date:  2013-01-15       Impact factor: 8.775

9.  Usefulness of inflammatory biomarkers in discriminating between bacterial and aseptic meningitis in hospitalized children from a population with low vaccination coverage.

Authors:  Ewelina Gowin; Jacek Wysocki; Dirk Avonts; Danuta Januszkiewicz-Lewandowska; Michal Michalak
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10.  Bacterial meningitis in Sudanese children; critical evaluation of the clinical decision using clinical prediction rules.

Authors:  Nada Abdelghani Abdelrahim; Imad Mohammed Fadl-Elmula; Hassan Mohammed Ali
Journal:  BMC Pediatr       Date:  2019-09-06       Impact factor: 2.125

  10 in total

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