Predicting the outcome of neonatal bacterial meningitis

Citation
G. Klinger et al., Predicting the outcome of neonatal bacterial meningitis, PEDIATRICS, 106(3), 2000, pp. 477-482
Citations number
26
Categorie Soggetti
Pediatrics,"Medical Research General Topics
Journal title
PEDIATRICS
ISSN journal
00314005 → ACNP
Volume
106
Issue
3
Year of publication
2000
Pages
477 - 482
Database
ISI
SICI code
0031-4005(200009)106:3<477:PTOONB>2.0.ZU;2-D
Abstract
Objective. To build predictive models of severe adverse outcome at various times in the course of neonatal bacterial meningitis. Study Design. Retrospective cohort study with follow-up to a minimum age of 1 year of term and near-term infants, admitted between 1979 and 1998 to a regional tertiary care center. Predictors of adverse outcome detectable at 1 year of age (death or moderate or severe neurosensory impairment) were id entified by univariate analysis. Independent predictors of adverse outcome were identified by multivariate analysis. Predictive tree models were const ructed at 12, 24, 48, and 96 hours after admission and at discharge. Results. Of 101 infants admitted with definitive bacterial meningitis, 13 d ied and 17 had moderate or severe disability at 1 year of age. Outcomes are known for all patients, to 1 year of age. Twelve hours after admission the important predictors of adverse outcome were presence of seizures, presenc e of coma, use of inotropes, and leukopenia (sensitivity: 68%; specificity: 100%). At 96 hours the predictors were seizure duration of >72 hours, pres ence of coma, use of inotropes, and leukopenia (sensitivity: 88%; specifici ty: 99%). Conclusions. Most infants at risk for adverse outcome can be identified wit hin 12 hours of admission. Duration of seizures for >72 hours, presence of coma, use of inotropes, and leukopenia were the most important predictors o f adverse outcome. Although these models have good predictive accuracy, the y need to be validated in a contemporary cohort in large multicenter studie s.