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雷特综合征脊柱侧凸进展的预测因素的鉴定。

Identification of Predictors for Progression of Scoliosis in Rett Syndrome.

机构信息

Department of Epidemiology, Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands.

Rett Expertise Centre, Maastricht University Medical Centre and School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.

出版信息

Dev Neurorehabil. 2024 Apr-May;27(3-4):126-133. doi: 10.1080/17518423.2024.2365794. Epub 2024 Jun 22.

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 (>10Cobb 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.

摘要

雷特综合征是一种神经发育障碍,其中脊柱侧凸是一种常见的骨科并发症。本探索性研究旨在确定雷特综合征脊柱侧凸快速进展的预测因素,以便为未来预测模型的开发进行变量选择。使用单变量逻辑回归模型,根据多中心数据,确定能够区分脊柱侧凸快速进展(>10 度/6 个月)和无快速进展个体的变量。使用单变量逻辑回归确定预测因子,采用比值比(95%CI)和 AUC(95%CI)。纳入时的年龄、基线时的 Cobb 角和癫痫对雷特综合征脊柱侧凸的快速进展具有最高的鉴别能力。

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