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1.
Neurology ; 76(9): 807-10, 2011 Mar 01.
Artículo en Inglés | MEDLINE | ID: mdl-21357832

RESUMEN

OBJECTIVE: To determine whether recognition of Guillain-Barré syndrome (GBS) is delayed in preschool children, what causes this delay, and if the clinical presentation differs from older children. METHODS: In a retrospective cohort study, standardized data from all children with GBS seen at the Erasmus MC Sophia Children's University Hospital in Rotterdam from 1987 to 2009 were collected regarding clinical presentation, patient's delay, initial diagnosis, and doctor's delay to the diagnosis. We compared preschool children (<6 years old) with older children (6-18 years old). RESULTS: GBS was diagnosed in 23 preschool children and in 32 older children. Fifteen (68%) of the preschool children were initially misdiagnosed compared to 6 (21%) of the older children (p = 0.001). Median patient delay to consult a pediatrician in both age groups was the same (5.0 days). The median doctor's delay to diagnose possible GBS in preschool children was significantly longer than in older children (3 days vs 0 days). In one-quarter of preschool children, this doctor's delay was more than 1 week, up to 22 days. In preschool children, refusal to walk and pain in the legs were the most frequent presenting symptoms (65%), while older children presented with more classic symptoms of weakness and paresthesias. The preschool children were initially misdiagnosed with myopathy, tonsillitis, meningitis, rheumatoid disorders, coxitis, or discitis. CONCLUSION: The diagnosis of GBS in preschool children is delayed compared to older children. This delay is partly explained by the nonspecific clinical presentation, challenging neurologic examination, and alternative diagnoses in preschool children.


Asunto(s)
Errores Diagnósticos , Síndrome de Guillain-Barré/diagnóstico , Adolescente , Factores de Edad , Niño , Preescolar , Estudios de Cohortes , Resultado Fatal , Femenino , Síndrome de Guillain-Barré/sangre , Humanos , Lactante , Masculino , Estudios Retrospectivos , Factores de Tiempo
2.
Neurology ; 76(11): 968-75, 2011 Mar 15.
Artículo en Inglés | MEDLINE | ID: mdl-21403108

RESUMEN

BACKGROUND: Guillain-Barré syndrome (GBS) has a highly diverse clinical course and outcome, yet patients are treated with a standard therapy. Patients with poor prognosis may benefit from additional treatment, provided they can be identified early, when nerve degeneration is potentially reversible and treatment is most effective. We developed a clinical prognostic model for early prediction of outcome in GBS, applicable for clinical practice and future therapeutic trials. METHODS: Data collected prospectively from a derivation cohort of 397 patients with GBS were used to identify risk factors of being unable to walk at 4 weeks, 3 months, and 6 months. Potential predictors of poor outcome (unable to walk unaided) were considered in univariable and multivariable logistic regression models. The clinical model was based on the multivariable logistic regression coefficients of selected predictors and externally validated in an independent cohort of 158 patients with GBS. RESULTS: High age, preceding diarrhea, and low Medical Research Council sumscore at hospital admission and at 1 week were independently associated with being unable to walk at 4 weeks, 3 months, and 6 months (all p 0.05-0.001). The model can be used at hospital admission and at day 7 of admission, the latter having a better predictive ability for the 3 endpoints; the area under the receiver operating characteristic curve (AUC) is 0.84-0.87 and at admission the AUC is 0.73-0.77. The model proved to be valid in the validation cohort. CONCLUSIONS: A clinical prediction model applicable early in the course of disease accurately predicts the first 6 months outcome in GBS.


Asunto(s)
Síndrome de Guillain-Barré/diagnóstico , Adulto , Factores de Edad , Área Bajo la Curva , Método Doble Ciego , Diagnóstico Precoz , Femenino , Humanos , Modelos Logísticos , Masculino , Persona de Mediana Edad , Pronóstico , Estudios Prospectivos , Curva ROC , Índice de Severidad de la Enfermedad
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