Asia Pacific Journal of Paediatric and Child Health, Volume 3, Apr - Jun 2020
Oostenbrink Score For Detecting Bacterial Meningitis in Children at Dr. Moewardi Hospital
Arifatun Nisa1 , Fadhilah Tia Nur1 , Ganung Harsono1
Background: The clinical symptoms of bacterial meningitis are various and non-specific as there are no obvious symptoms. Establishing diagnosis of meningitis and finding its etiology with limited health facility areas is still constrained by several factors. However several clinical predictors can help predict the incidence of bacterial meningitis in children. One of them is Oostenbrink score.
Aim: this study aimed to analyze Oostenbrink score as clinical predictor to detect bacterial meningitis in children.
Methods: A Cross-sectional diagnostic study was conducted in children aged 1 month-18 years old from September 2018- June 2019 in Dr.Moewardi hospital, Surakarta. The data were analyzed with SPSS version 20 for statistical analysis of diagnostic tests. The cut-off point of Oostenbrink score was obtained from the best AUC (Area Under Curve) from sensitivity and specificity sides. A diagnostic test was performed by calculating sensitivity and specificity, positive predictive value, negative predicted value, positive likelihood ratio and negative likelihood ratio to the Oostenbrink score.
Results : Among the 40 children of the study subjects, 25 were boys. All subjects presented with fever, some of the subjects also came with seizures (75%), decreased consciousness (50%), and meningeal signs (30%). Of the overall study subjects, 27.5% had of bacterial meningitis. Oostenbrink cut-off score of 9.75 had a sensitivity value of 90.9%, specificity of 69% with AUC 0.813.
Conclusion: Oostenbrink score is a good clinical predictor for screening detection bacterial meningitis in children.
Keywords: Oostenbrink score, bacterial meningitis, children, diagnostic
Author’s Affiliation: 1- Department of Child Health, Faculty of Medicine, Sebelas Maret University/ Dr. Moewardi Hospital, Surakarta, Indonesia
Correspondence: Arifatun Nisa, Email: email@example.com