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Clinical decision rules to distinguish between bacterial and aseptic meningitis
F Dubos1, B Lamotte, F Bibi-Triki
1Clinical Epidemiology Unit, Department of Paediatrics, Saint Vincent-de-Paul Hospital, AP-HP, Paris Descartes University, Paris, France.
Background:
Clinical decision rules have been derived to distinguish between bacterial and aseptic meningitis in the emergency room to avoid unnecessary antibiotic treatments and hospitalisations.
Aims:
To evaluate the reproducibility and to compare the diagnostic performance of five clinical decision rules.
Methods:
All children hospitalised for bacterial meningitis between 1995 and 2004 or aseptic meningitis between 2000 and 2004 have been included in a retrospective cohort study. Sensitivity and specificity were calculated by applying each rule to the patients. The best rule was a priori defined as the one yielding 100% sensitivity for bacterial meningitis, the highest specificity, and the greatest simplicity for a bedside application.
Results:
Among the 166 patients included, 20 had bacterial meningitis and 146 had aseptic meningitis. Although three rules achieved 100% sensitivity (95% CI 84-100), one had a significantly lower specificity (13%, 95% CI 8-19) than those of the other two rules (57%, 95% CI 48-65; and 66%, 95% CI 57-73), which were not statistically different. The ease of manual computation of the rule developed by Nigrovic et al (a simple list of five items: seizure, blood neutrophil count, cerebrospinal fluid (CSF) Gram stain, CSF protein, CSF neutrophil count) was higher than the one developed by Bonsu and Harper.
Conclusion:
On our population, the rule derived by Nigrovic et al had the best balance between accuracy and simplicity of manual computation and could help to avoid two thirds of unnecessary antibiotic treatments and hospitalisations.
Insights
The Nigrovic et al. clinical decision rule accurately distinguishes bacterial meningitis from aseptic meningitis in children. This validated rule can significantly reduce unnecessary antibiotic treatments and hospitalizations.
Area of Science:
- Pediatric infectious diseases
- Clinical epidemiology
- Emergency medicine
Background:
- Clinical decision rules aid in differentiating bacterial and aseptic meningitis in emergency settings.
- Accurate diagnosis is crucial to prevent unnecessary antibiotic use and hospitalizations.
Purpose of the Study:
- To assess the reproducibility and diagnostic performance of five distinct clinical decision rules for meningitis.
- To identify the most accurate and practical rule for bedside application.
Main Methods:
- Retrospective cohort study of children hospitalized with bacterial or aseptic meningitis (1995-2004).
- Sensitivity and specificity calculated for each rule.
- The optimal rule was defined by 100% sensitivity for bacterial meningitis, high specificity, and ease of use.
Main Results:
- 166 patients included: 20 bacterial meningitis, 146 aseptic meningitis.
- Three rules achieved 100% sensitivity; one had significantly lower specificity (13%) compared to others (57%, 66%).
- The Nigrovic et al. rule demonstrated superior simplicity for manual computation.
Conclusions:
- The Nigrovic et al. rule offers the best combination of diagnostic accuracy and ease of use in this pediatric population.
- Implementation of this rule could potentially prevent two-thirds of unnecessary antibiotic treatments and hospitalizations.
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