1. Identification of Predictors for Progression of Scoliosis in Rett Syndrome.
- Author
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Weeda, J.E, van Kuijk, S.M.J, van den Berg, M.P, Bastiaenen, C.H.G, Borst, H.E, van Rhijn, L.W, and de Bie, R.A
- Subjects
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RETT syndrome , *PREDICTION models , *RECEIVER operating characteristic curves , *SCOLIOSIS , *LOGISTIC regression analysis , *DESCRIPTIVE statistics , *AGE distribution , *ODDS ratio , *RESEARCH , *STATISTICS , *EPILEPSY , *CONFIDENCE intervals , *GENETIC mutation , *DISEASE progression - 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 $^\circ $ ∘ 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. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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