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[Validation of a clinical prediction rule to distinguish bacterial from aseptic meningitis]
Gonzalo Agüero1, María C Davenport, María de la P Del Valle
1Docencia e Investigación, Hospital General de Niños Pedro de Elizalde.
Introduction:
Despite most meningitis are not bacterial, antibiotics are usually administered on admission because bacterial meningitis is difficult to be rule-out. Distinguishing bacterial from aseptic meningitis on admission could avoid inappropriate antibiotic use and hospitalization. We aimed to validate a clinical prediction rule to distinguish bacterial from aseptic meningitis in children, on arriving to the emergency room.
Methods:
This prospective study included patients aged < 19 years with meningitis. Cerebrospinal fluid (CSF) and peripheral blood neutrophil count were obtained from all patients. The BMS (Bacterial Meningitis Score) described by Nigrovic (Pediatrics 2002; 110: 712), was calculated: positive CSF Gram stain= 2 points, CSF absolute neutrophil count > or = 1000 cells/mm(3), CSF protein > or = 80 mg/dl, peripheral blood absolute neutrophil count > or = 10.000/mm(3), seizure = 1 point each. Sensitivity (S), specificity (E), positive and negative predictive values (PPV and NPV), positive and negative likelihood ratios (PLR and NLR) of the BMS to predict bacterial meningitis were calculated.
Results:
Seventy patients with meningitis were included (14 bacterial meningitis). When BMS was calculated, 25 patients showed a BMS= 0 points, 11 BMS= 1 point, and 34 BMS > or = 2 points. A BMS = 0 showed S: 100%, E: 44%, VPP: 31%, VPN: 100%, RVP: 1,81 RVN: 0. A BMS > or = 2 predicted bacterial meningitis with S: 100%, E: 64%, VPP: 41%, VPN: 100%, PLR: 2.8, NLR:0.
Conclusions:
Using BMS was simple, and allowed identifying children with very low risk of bacterial meningitis. It could be a useful tool to assist clinical decision making.
Insights
The Bacterial Meningitis Score (BMS) effectively identifies children with a very low risk of bacterial meningitis, aiding clinical decisions and reducing unnecessary antibiotic use.
Area of Science:
- Pediatric infectious diseases
- Clinical decision support systems
- Diagnostic accuracy studies
Background:
- Bacterial meningitis is difficult to rule out, leading to frequent antibiotic administration.
- Distinguishing bacterial from aseptic meningitis upon presentation can prevent unnecessary antibiotic use and hospitalizations.
Purpose of the Study:
- To validate the Bacterial Meningitis Score (BMS) for distinguishing bacterial from aseptic meningitis in children presenting to the emergency room.
Main Methods:
- Prospective study of pediatric meningitis patients (<19 years).
- Calculated BMS using CSF Gram stain, CSF and blood neutrophil counts, CSF protein, and seizures.
- Assessed sensitivity, specificity, PPV, NPV, PLR, and NLR of BMS for bacterial meningitis.
Main Results:
- A BMS of 0 had 100% sensitivity and 100% negative predictive value for bacterial meningitis.
- A BMS of 0 or greater than or equal to 2 showed 100% sensitivity for bacterial meningitis.
- The BMS is a simple tool to identify children at very low risk of bacterial meningitis.
Conclusions:
- The Bacterial Meningitis Score (BMS) is a simple and effective tool for clinical decision-making.
- BMS aids in identifying children with a very low risk of bacterial meningitis, potentially reducing unnecessary antibiotic treatments.
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