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Using artificial intelligence-based technologies to detect clinically relevant changes of gross motor function in children with cerebral palsy.
Developmental Medicine & Child Neurology ( IF 3.8 ) Pub Date : 2023-10-04 , DOI: 10.1111/dmcn.15744
Leonie Schafmeyer 1, 2 , Heike Losch 2 , Christiane Bossier 1, 3 , Isabel Lanz 1 , Heidrun Lioba Wunram 3, 4 , Eckhard Schoenau 1, 3 , Ibrahim Duran 1, 3
Affiliation  

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.

中文翻译:

使用基于人工智能的技术来检测脑瘫儿童粗大运动功能的临床相关变化。

目的 将 66 项粗大运动功能测量 (GMFM-66) 与简化版 GMFM-66 (rGMFM-66) 进行比较,以检测脑瘫儿童 (CP) 粗大运动功能的临床相关变化)。方法 该研究是对参加康复计划的脑瘫儿童进行的回顾性单中心分析。总体而言,可获得 1352 对 GMFM-66 和 rGMFM66 测量,时间间隔为 5 至 7 个月。为了测量粗大运动功能的临床相关变化,计算了个体效应大小(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(SD 2 岁 4 个月)。基于 GMFM-66 和 rGMFM-66 的 iES 显示出显着相关性(r = 0.84,p < 0.001)。对受试者工作特征曲线下面积的分析显示,临床相关的粗大运动改善(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])。解释 与完整的 GMFM-66 相比,执行 rGMFM-66 可以节省时间。在检测 CP 儿童粗大运动功能的临床相关变化方面,rGMFM-66 与 GMFM-66 表现出良好的一致性,因此它在日常临床实践中的使用似乎是合理的。
更新日期:2023-10-04
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