An Algorithm for Identifying and Classifying Cerebral Palsy in Young Children
An Algorithm for Identifying and Classifying Cerebral Palsy in Young Children
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DOI：
10.1016/j.jpeds.2008.04.013
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发表时间：
2008-10-01
影响因子：
5.1
通讯作者：
Leviton, Alan
中科院分区：
文献类型：
--
作者：
Kuban, Karl C. K.;Allred, Elizabeth N.;Leviton, Alan
目的建立一种基于可靠、标准化的神经学检查数据的算法，并报告在28周前出生的2岁儿童中脑性瘫痪(CP)亚型(偏瘫、偏瘫和四肢瘫痪)的患病率。研究设计比较脑瘫亚型与脑瘫亚型的残疾程度、小头畸形、认知障碍和孤独症筛查阳性的频率。结果在接受检查的1056名儿童中，11.4%(120人)给出了基于算法的脑瘫分类。在这些儿童中，31%的儿童患有轻瘫。17%的人有偏瘫，52%的人有四肢瘫痪。四肢瘫痪儿童严重受损的可能性是偏瘫儿童的9倍(76%对8%)，小头畸形的可能性是偏瘫儿童的5倍(43%对8%)。他们得分的可能性是痴呆症儿童的两倍多。
Objective To develop an algorithm on the basis of data obtained with a reliable, standardized neurological examination and report the prevalence of cerebral palsy (CP) subtypes (disparesis, hemiparesis, and quadriparesis) in a cohort of 2-year-old children born before 28 weeks gestation.Study design We compared children with CP subtypes on extent of handicap and frequency of microcephaly, cognitive impairment, and screening positive for autism.Results Of the 1056 children examined, 11.4% (120) were given an algorithm-based classification of CP. Of these children, 31% had disparesis. 17% had hemiparesis, and 52% had quadriparesis. Children with quadriparesis were 9 times more likely than children with diparesis (76% versus 8%) to be more highly impaired and 5 times more likely than children with diparesis to be microcephalic (43% versus 8%). They were more than twice as likely as children with diparesis to have a score