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脑瘫幼儿手动能力分类系统的稳定性。

Stability of the Manual Ability Classification System in young children with cerebral palsy.

机构信息

Queensland Cerebral Palsy and Rehabilitation Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia.

School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.

出版信息

Dev Med Child Neurol. 2019 Jul;61(7):798-804. doi: 10.1111/dmcn.14143. Epub 2019 Jan 10.

Abstract

AIM

To examine the stability over time of the Manual Ability Classification System (MACS) levels in children with cerebral palsy (CP) aged 18 to 60 months.

METHOD

This was a prospective longitudinal population-based study of 252 Australian children (160 males [63%] 92 females [37%]; mean age [SD] 41.7mo [14], range 17.2mo-69.2mo) with CP. Children were classified at 18 months (n=70), 24 months (n=131), 30 months (n=173), 36 months (n=209), 48 months (n=226), and 60 months (n=221) of age. Stability of the MACS was examined using the proportion of specific positive agreement and transition proportions, which are measures of agreement.

RESULTS

There were 1030 unique observations, with each of the 252 participants seen between two and six occasions (median=4). Average specific positive agreement over the study period was 76% for MACS level I, 67% for level II, 50% for level III, 51% for level IV, and 83% for level V. MACS levels I and V have the highest degree of stability, while levels III and IV have the lowest. We show how this may be explained by the proportion of children in each MACS level.

INTERPRETATION

Using measures of agreement rather than measures of reliability provides accurate information when measuring stability over time of an ordinal classification system. The relative stability of MACS levels can be explained by the proportion of children in each level.

WHAT THIS PAPER ADDS

Children classified in Manual Ability Classification System (MACS) levels III and IV change levels at next assessment about 50% of the time. Children should be assessed with the MACS regularly, particularly those in levels III and IV. Stability within ordinal classification level categories can be predicted using a measurement error model. Transition proportions or specific agreement is recommended for reporting stability of ordinal classification systems.

摘要

目的

研究 18 至 60 月龄脑瘫患儿(CP)的手动能力分类系统(MACS)水平随时间的稳定性。

方法

这是一项前瞻性纵向基于人群的研究,纳入 252 名澳大利亚 CP 患儿(男 160 例[63%],女 92 例[37%];平均年龄[标准差]41.7 个月[14],范围 17.2 个月-69.2 个月)。患儿于 18 月龄(n=70)、24 月龄(n=131)、30 月龄(n=173)、36 月龄(n=209)、48 月龄(n=226)和 60 月龄(n=221)时进行分类。采用特定阳性符合率和转换率来评估 MACS 的稳定性,这些是评估一致性的指标。

结果

共获得 1030 个唯一观察值,252 名患儿中的每名患儿观察 2 至 6 次(中位数=4 次)。研究期间,MACS Ⅰ级的特定阳性符合率平均为 76%,Ⅱ级为 67%,Ⅲ级为 50%,Ⅳ级为 51%,Ⅴ级为 83%。MACS Ⅰ级和Ⅴ级的稳定性最高,而Ⅲ级和Ⅳ级的稳定性最低。我们展示了如何通过每个 MACS 水平的儿童比例来解释这一点。

解释

使用一致性测量而不是可靠性测量来衡量有序分类系统随时间的稳定性,可以提供准确的信息。MACS 水平的相对稳定性可以通过每个水平的儿童比例来解释。

本文增加的内容

在接下来的评估中,MACS 水平Ⅲ和Ⅳ的患儿约有 50%的时间会改变水平。对于 MACS 水平Ⅲ和Ⅳ的患儿,应定期进行评估。使用测量误差模型可以预测有序分类水平类别内的稳定性。建议使用转换率或特定阳性符合率来报告有序分类系统的稳定性。

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