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Neurocrit Care ; 32(2): 586-595, 2020 04.
Artículo en Inglés | MEDLINE | ID: mdl-31342450

RESUMEN

BACKGROUND: Knowing the individual child's risk is highly useful when deciding on treatment strategies, especially when deciding on invasive procedures. In this study, we aimed to develop a new predictive score for children with bacterial meningitis and compare this with existing predictive scores and individual risk factors. METHODS: We developed the Meningitis Swedish Survival Score (MeningiSSS) based on a previous systematic review of risk factors. From this, we selected risk factors identified in moderate-to-high-quality studies that could be assessed at admission to the hospital. Using data acquired from medical records of 101 children with bacterial meningitis, we tested the overall capabilities of the MeningiSSS compared with four existing predictive scores using a receiver operating characteristic curve (ROC) analysis to assert the area under the curve (AUC). Finally, we tested all predictive scores at their cut-off levels using a Chi-square test. As outcome, we used a small number of predefined outcomes; in-hospital mortality, 30-day mortality, occurrence of neurological disabilities at discharge defined as Pediatric Cerebral Performance Category Scale category two to five, any type of complications occurring during the hospital stay, use of intensive care, and use of invasive procedures to monitor or manage the intracerebral pressure. RESULTS: For identifying children later undergoing invasive procedures to monitor or manage the intracerebral pressure, the MeningiSSS excelled in the ROC-analysis (AUC = 0.90) and also was the only predictive score able to identify all cases at its cut-off level (25 vs 0%, p < 0.01). For intensive care, the MeningiSSS (AUC = 0.79) and the Simple Luanda Scale (AUC = 0.75) had the best results in the ROC-analysis, whereas others performed less well (AUC ≤ 0.65). Finally, while none of the scores' results were significantly associated with complications, an elevated score on the MeningiSSS (AUC = 0.70), Niklasson Scale (AUC = 0.72), and the Herson-Todd Scale (AUC = 0.79) was all associated with death. CONCLUSIONS: The MeningiSSS outperformed existing predictive scores at identifying children later having to undergo invasive procedures to monitor or manage the intracerebral pressure in children with bacterial meningitis. Our results need further external validation before use in clinical practice. Thus, the MeningiSSS could potentially be helpful when making difficult decisions concerning intracerebral pressure management.


Asunto(s)
Mortalidad Hospitalaria , Hipertensión Intracraneal/diagnóstico , Presión Intracraneal , Meningitis Bacterianas/fisiopatología , Monitoreo Fisiológico , Factores de Edad , Área Bajo la Curva , Temperatura Corporal , Preescolar , Cuidados Críticos , Sistemas de Apoyo a Decisiones Clínicas , Craniectomía Descompresiva , Drenaje , Femenino , Estado Funcional , Infecciones por Haemophilus/complicaciones , Infecciones por Haemophilus/fisiopatología , Infecciones por Haemophilus/terapia , Humanos , Hipertensión Intracraneal/etiología , Hipertensión Intracraneal/fisiopatología , Hipertensión Intracraneal/terapia , Leucopenia/fisiopatología , Masculino , Meningitis Bacterianas/complicaciones , Meningitis Bacterianas/terapia , Meningitis Meningocócica/complicaciones , Meningitis Meningocócica/fisiopatología , Meningitis Meningocócica/terapia , Meningitis Neumocócica/complicaciones , Meningitis Neumocócica/fisiopatología , Meningitis Neumocócica/terapia , Mortalidad , Curva ROC , Síndrome de Dificultad Respiratoria/etiología , Síndrome de Dificultad Respiratoria/fisiopatología , Factores de Riesgo , Convulsiones/etiología , Convulsiones/fisiopatología , Choque/etiología , Choque/fisiopatología , Ventriculostomía
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