Abstractobjective To examine the utility of laboratory methods other than bacterial culture in diagnosing acute bacterial meningitis (ABM).methods Bayesian latent class analysis was used to estimate diagnostic precision of cerebrospinal fluid (CSF) culture, leucocyte counts and protein concentrations for ABM in Melanesian children.results With a cut-off of ≥20 leucocytes/mm 3 , the area under the receiver operating characteristic curve (AUC ROC) was >97.5% for leucocyte counts. A lower (93%) AUC ROC was observed for CSF protein concentrations ≥1 g/l. CSF culture had poor sensitivity and high specificity.
Abstract. Predictors of acute bacterial meningitis (ABM) were assessed in 554 children in Papua New Guinea 0.2-10 years of age who were hospitalized with culture-proven meningitis, probable meningitis, or non-meningitic illness investigated by lumbar puncture. Forty-seven (8.5%) had proven meningitis and 36 (6.5%) had probable meningitis. Neck stiffness, Kernig's and Brudzinski's signs and, in children < 18 months of age, a bulging fontanel had positive likelihood ratios (LRs) 4.3 for proven/probable ABM. Multiple seizures and deep coma were less predictive (LR ¼ 1.5-2.1). Single seizures and malaria parasitemia had low LRs ( 0.5). In logistic regression including clinical variables, Kernig's sign and deep coma were positively associated with ABM, and a single seizure was negatively associated (P 0.01). In models including microscopy, neck stiffness and deep coma were positively associated with ABM and parasitemia was negatively associated with ABM (P 0.04). In young children, a bulging fontanel added to the model (P < 0.001). Simple clinical features predict ABM in children in Papua New Guinea but malaria microscopy augments diagnostic precision.
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