2013, Number 3
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Rev Cubana Pediatr 2013; 85 (3)
A bacterial meningitis predictive model for newborns with cerebrospinal fluid pleocytosis
Díaz ÁM
Language: Spanish
References: 24
Page:
PDF size: 97.56 Kb.
ABSTRACT
Introduction: there were developed a prediction tools for bacterial meningitis (BM) in
pediatric patients, but those do not include the neonatal period.
Objetive: to develop and validate a prediction model for BM in neonatal patients who
present pleocytosis of the cerebrospinal fluid (CF) when they were evaluated by clinical
and laboratory variables.
Patients and method: retrospective and analytic study, which included 320 neonatal
patients evaluated for probable infection, with the diagnosis of meningitis, 45 with BM
and 275 with aseptic meningitis, and who were admitted in the Neonatology Ward at
the Universitary Pediatric Hospital «Juan M. Márquez», from february of 1992 up to
december of 2009. There was developed a Predictive Model for BM, owing to some
variables identified in uni and multivariate analysis. This model was developed from a
«derivation group» and it was contrasted in the «validation group».
Results: the variables selected to be included at the predictive model were: 1) Toxic
appearance, 2) Seizures in the course of the illness, 3) positive CF Gram stain, 4)
Polymorphonuclear leukocytes proportion in CF ›80%, and 5) CF glucose
concentration ‹1.0 mMol/l. The values for the variables as a whole revealed to have
100.0% sensitivity and negative predictive values. With this proposed model there
were not any patient misclassified with negative prediction for BM, who result bearer of
this kind of infection, in the derivation group. In the validation group the model had a
similar performance, which accredit it like an internally validate model.
Conclusions: the prediction model developed rest on rutinary evaluation variables,
and it allowed to identify without errors all neonatal patients with BM. The ejecution of
this model would be an usefull tool in the clinical decisions making.
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