ArticlePediatric research2022
Prognostic model for time to achieve independent walking in children with Guillain-Barré syndrome.
Article in Pediatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 11 citations in OpenAlex.
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundGuillain-Barré Syndrome (GBS) is an immune-mediated peripheral neuropathy. Clinical features and outcomes in children differ from adults. Currently, there is no prognostic model to predict outcomes in children and existing models for adults are not suitable.
objectivesTo identify factors that are associated with outcomes and develop clinical model to predict time to independent walking in children with GBS.
methodsBetween 2005 and 2018, 41 patients with GBS were identified by retrospective chart review. Factors associated with independent walking were analyzed with the Kaplan-Meier method. A prediction model was developed based on regression coefficients from Cox's proportional hazard model.
resultsThe disability score at maximum weakness and nerve conduction study results were associated with independent walking and included in the model. Scores range from 0 to 5. A score of 5 predicts 34 days to independent walking while a score of 0 predicts 5 months (mean 158 days, p = 0.008).
conclusionThis scoring system for pediatric patients provides predicts the time needed to achieve independent walking, an important milestone of recovery for communication with parents, and to assist clinicians to optimize treatment. Further studies of predictive factors and external validation are needed to improve precision of the model. IMPACT: This is the first study to create a prognostic scoring system for individual outcomes in children with GBS. A clinical prognostic model can predict time to achieve independent walking in individual pediatric patients with GBS. This model can assist clinicians to optimize treatment and guide decisions on rehabilitation to prevent long-term disability.
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