Hermanson M, Hägglund G, Riad J, Rodby-Bousquet E, Wagner P
Lund University, Östra Sjukhuset, Surgery, S-416 85 Göteborg, Sweden.
Lund University, S-221 85 Lund, Sweden.
Bone Joint J. 2015 Oct;97-B(10):1441-4. doi: 10.1302/0301-620X.97B10.35978.
Hip displacement, defined in this study as a migration percentage (MP) of more than 40%, is a common, debilitating complication of cerebral palsy (CP). In this prospective study we analysed the risk of developing hip displacement within five years of the first pelvic radiograph. All children with CP in southern and western Sweden are invited to register in the hip surveillance programme CPUP. Inclusion criteria for the two groups in this study were children from the CPUP database born between 1994 and 2009 with Gross Motor Function Classification System (GMFCS) III to V. Group 1 included children who developed hip displacement, group 2 included children who did not develop hip displacement over a minimum follow-up of five years. A total of 145 children were included with a mean age at their initial pelvic radiograph of 3.5 years (0.6 to 9.7). The odds ratio for hip displacement was calculated for GMFCS-level, age and initial MP and head-shaft angle. A risk score was constructed with these variables using multiple logistic regression analysis. The predictive ability of the risk score was evaluated using the area under the receiver operating characteristics curve (AUC). All variables had a significant effect on the risk of a MP > 40%. The discriminatory accuracy of the CPUP hip score is high (AUC = 0.87), indicating a high ability to differentiate between high- and low-risk individuals for hip displacement. The CPUP hip score may be useful in deciding on further follow-up and treatment in children with CP.
髋关节移位在本研究中定义为移位百分比(MP)超过40%,是脑瘫(CP)常见的致残并发症。在这项前瞻性研究中,我们分析了首次骨盆X光片后五年内发生髋关节移位的风险。瑞典南部和西部所有脑瘫患儿均受邀加入髋关节监测项目CPUP。本研究中两组的纳入标准是来自CPUP数据库、1994年至2009年出生、粗大运动功能分类系统(GMFCS)为III至V级的儿童。第1组包括发生髋关节移位的儿童,第2组包括在至少五年的随访期内未发生髋关节移位的儿童。总共纳入了145名儿童,其首次骨盆X光片时的平均年龄为3.5岁(0.6至9.7岁)。计算了GMFCS级别、年龄、初始MP和头干角的髋关节移位比值比。使用多因素逻辑回归分析,用这些变量构建了一个风险评分。使用受试者工作特征曲线下面积(AUC)评估风险评分的预测能力。所有变量对MP>40%的风险均有显著影响。CPUP髋关节评分的鉴别准确性很高(AUC = 0.87),表明其区分髋关节移位高风险和低风险个体的能力很强。CPUP髋关节评分可能有助于决定对脑瘫患儿的进一步随访和治疗。