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使用基于人工智能的技术来检测脑瘫患儿粗大运动功能的临床相关变化。

Using artificial intelligence-based technologies to detect clinically relevant changes of gross motor function in children with cerebral palsy.

作者信息

Schafmeyer Leonie, Losch Heike, Bossier Christiane, Lanz Isabel, Wunram Heidrun Lioba, Schoenau Eckhard, Duran Ibrahim

机构信息

University of Cologne, Medical Faculty and University Hospital, Center of Prevention and Rehabilitation, UniReha, Cologne, Germany.

Department of Neuropediatrics, University Children's Hospital Klinikum Oldenburg, Oldenburg, Germany.

出版信息

Dev Med Child Neurol. 2024 Feb;66(2):226-232. doi: 10.1111/dmcn.15744. Epub 2023 Oct 4.

DOI:10.1111/dmcn.15744
PMID:37794634
Abstract

AIM

To compare the 66-item Gross Motor Function Measure (GMFM-66) with the reduced version of the GMFM-66 (rGMFM-66) with respect to the detection of clinically relevant changes in gross motor function in children with cerebral palsy (CP).

METHOD

The study was a retrospective single centre analysis of children with CP who participated in a rehabilitation programme. Overall, 1352 pairs of GMFM-66 and rGMFM66 measurements with a time interval of 5 to 7 months were available. To measure clinically relevant changes in gross motor function, the individual effect size (iES) was calculated.

RESULTS

The study population consisted of 1352 children (539 females), mean age 6 years 4 months (SD 2 years 4 months). The iES based on the GMFM-66 and the rGMFM-66 showed a significant correlation (r = 0.84, p < 0.001). The analysis of the area under the receiver operating characteristic curve showed an excellent agreement for clinically relevant gross motor improvement (Cohen's d ≥ 0.5; area under the curve = 0.90 [95% confidence interval 0.88-0.92]) or deterioration (Cohen's d ≤ -0.5; area under the curve = 0.95 [95% confidence interval 0.92-0.97]).

INTERPRETATION

Performing the rGMFM-66 saves time compared to the full GMFM-66. The rGMFM-66 showed good agreement with the GMFM-66 with respect to the detection of clinically relevant changes in gross motor function in children with CP, so its use in everyday clinical practice seems justifiable.

WHAT THIS PAPER ADDS

The reduced version of the 66-item Gross Motor Function Measure (rGMFM-66) detects clinically relevant changes in gross motor function in children with cerebral palsy. The rGMFM-66 correlates highly with the full GMFM-66. The rGMFM-66 can be used in clinical practice when the time schedule is limited.

摘要

目的

比较66项粗大运动功能测量量表(GMFM - 66)与简化版GMFM - 66(rGMFM - 66)在检测脑瘫(CP)患儿粗大运动功能临床相关变化方面的效果。

方法

本研究是对参与康复项目的CP患儿进行的回顾性单中心分析。总体上,共有1352对GMFM - 66和rGMFM - 66测量数据,时间间隔为5至7个月。为测量粗大运动功能的临床相关变化,计算了个体效应量(iES)。

结果

研究人群包括1352名儿童(539名女性),平均年龄6岁4个月(标准差2岁4个月)。基于GMFM - 66和rGMFM - 66的iES显示出显著相关性(r = 0.84,p < 0.001)。对受试者工作特征曲线下面积的分析表明,在粗大运动功能的临床相关改善(Cohen's d≥0.5;曲线下面积 = 0.90 [95%置信区间0.88 - 0.92])或恶化(Cohen's d≤ - 0.5;曲线下面积 = 0.95 [95%置信区间0.92 - 0.97])方面具有极好的一致性。

解读

与完整的GMFM - 66相比,使用rGMFM - 66可节省时间。rGMFM - 66在检测CP患儿粗大运动功能的临床相关变化方面与GMFM - 66具有良好的一致性,因此在日常临床实践中使用它似乎是合理的。

本文补充内容

66项粗大运动功能测量量表的简化版(rGMFM - 66)可检测脑瘫患儿粗大运动功能的临床相关变化。rGMFM - 66与完整的GMFM - 66高度相关。当时间安排有限时,rGMFM - 66可用于临床实践。

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