Identification of Predictors for Progression of Scoliosis in Rett Syndrome
Publication date
2024-07
Authors
Weeda, J. E.
van Kuijk, S. M.J.
van den Berg, M. P.
Bastiaenen, C. H.G.
Borst, H. E.
Rhijn, Lodewijk W van
de Bie, R. A.
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Advisors
Supervisors
Document Type
Article
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cc_by_nc_nd
Abstract
Rett syndrome is a neurodevelopmental disorder in which scoliosis is a common orthopedic complication. This explorative study aims to identify predictors for rapid progression of scoliosis in Rett syndrome to enable variable selection for future prediction model development. A univariable logistic regression model was used to identify variables that discriminate between individuals with and without rapid progression of scoliosis (>10 (Formula presented.) Cobb angle/6 months) based on multi-center data. Predictors were identified using univariable logistic regression with OR (95% CI) and AUC (95% CI). Age at inclusion, Cobb angle at baseline and epilepsy have the highest discriminative ability for rapid progression of scoliosis in Rett syndrome.
Keywords
Mecp2 mutations, prediction, neuromuscular diseases, Rett syndrome, scoliosis, Pediatrics, Perinatology, and Child Health, Rehabilitation, Developmental Neuroscience
Citation
Weeda, J E, van Kuijk, S M J, van den Berg, M P, Bastiaenen, C H G, Borst, H E, van Rhijn, L W & de Bie, R A 2024, 'Identification of Predictors for Progression of Scoliosis in Rett Syndrome', Developmental Neurorehabilitation, vol. 27, no. 3-4, pp. 126-133. https://doi.org/10.1080/17518423.2024.2365794