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2至18岁泰国脑瘫儿童步行能力的预后预测因素

Prognostic Predictors for Ambulation in Thai Children With Cerebral Palsy Aged 2 to 18 Years.

作者信息

Keeratisiroj Orawan, Thawinchai Nuanlaor, Siritaratiwat Wantana, Buntragulpoontawee Montana

机构信息

Clinical Epidemiology Program, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand Faculty of Public Health, Naresuan University, Phitsanulok, Thailand.

Department of Physical Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand

出版信息

J Child Neurol. 2015 Nov;30(13):1812-8. doi: 10.1177/0883073815582267. Epub 2015 Apr 28.

DOI:10.1177/0883073815582267
PMID:25922262
Abstract

The objectives of this study were to determine prognostic predictors for ambulation among Thai children with cerebral palsy and identify their ambulatory status. A retrospective cohort study was performed at 6 special schools or hospitals for children with physical disabilities. The prognostic predictors for ambulation were analyzed by multivariable ordinal continuation ratio logistic regression. The 533 participants aged 2 to 18 years were divided into 3 groups: 186 with independent ambulation (Gross Motor Function Classification System [GMFCS I-II]), 71 with assisted ambulation (Gross Motor Function Classification System III), and 276 with nonambulation (Gross Motor Function Classification System IV-V). The significant positive predictors for ambulation were type of cerebral palsy (spastic diplegia, spastic hemiplegia, dyskinesia, ataxia, hypotonia, and mixed type), sitting independently at age 2 years, and eating independently. These predictors were used to develop clinical scoring for predicting the future ability to walk among Thai children with cerebral palsy.

摘要

本研究的目的是确定泰国脑瘫儿童步行的预后预测因素,并确定他们的步行状态。在6所针对身体残疾儿童的特殊学校或医院进行了一项回顾性队列研究。通过多变量有序连续比例逻辑回归分析步行的预后预测因素。533名年龄在2至18岁的参与者被分为3组:186名能够独立行走(粗大运动功能分类系统[GMFCS I-II]),71名需要辅助行走(粗大运动功能分类系统III),276名不能行走(粗大运动功能分类系统IV-V)。步行的显著正向预测因素包括脑瘫类型(痉挛性双瘫、痉挛性偏瘫、运动障碍、共济失调、肌张力低下和混合型)、2岁时能独立坐立以及能独立进食。这些预测因素被用于制定临床评分,以预测泰国脑瘫儿童未来的行走能力。

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