Identification of Predictors for Progression of Scoliosis in Rett Syndrome

被引：1
作者：
Weeda, J. E. [1 ,2 ,3 ,4 ]
van Kuijk, S. M. J. [5 ]
van den Berg, M. P. [2 ,3 ,4 ]
Bastiaenen, C. H. G. [1 ]
Borst, H. E. [2 ,3 ,4 ]
van Rhijn, L. W. [6 ,7 ]
de Bie, R. A. [1 ]
机构：
[1] Maastricht Univ, Care & Publ Hlth Res Inst, Fac Hlth Med & Life Sci, Dept Epidemiol, Maastricht, Netherlands
[2] Maastricht Univ, Med Ctr, Rett Expertise Ctr, Maastricht, Netherlands
[3] Maastricht Univ, Sch Mental Hlth & Neurosci, Maastricht, Netherlands
[4] Dutch Rett Syndrome Assoc NRSV, Utrecht, Netherlands
[5] Maastricht Univ, Med Ctr, Dept Clin Epidemiol & Med Technol Assessment, Maastricht, Netherlands
[6] Maastricht Univ, Med Ctr, Dept Orthoped Surg, Maastricht, Netherlands
[7] Univ Med Ctr Utrecht, Dept Orthoped Surg, Utrecht, Netherlands
来源：
DEVELOPMENTAL NEUROREHABILITATION | 2024年 / 27卷 / 3-4期
关键词：
Mecp2; mutations; prediction; neuromuscular diseases; Rett syndrome; scoliosis; MANAGEMENT; PROFILE; FUSION;
D O I：
10.1080/17518423.2024.2365794
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
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 degrees 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.
引用
收藏
页码：126 / 133
页数：8
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