Breau Lynn M, Camfield Carol S, McGrath Patrick J, Finley G Allen
Pediatric Pain Research Lab, IWK Health Centre, Halifax, Nova Scotia, Canada.
Dev Med Child Neurol. 2004 Jun;46(6):364-71. doi: 10.1017/s001216220400060x.
Diagnosing cause of pain in children with severe cognitive impairments is difficult due to their problems with communication. Identification of risk factors for specific pain etiologies might help professionals in this task. The aim of this study was to determine whether child-related characteristics increase risk for specific types of pain. Participants were the caregivers of 41 females and 53 males with moderate to profound mental retardation, who were aged 3 to 18 years 8 months (mean 10:1, SD 4:4) but who communicated at the level of a typical child of 13.8 months (SD 10 months): 44 of the children had cerebral palsy (CP) and 59 a seizure disorder. Caregivers reported the cause of children's episodes of pain for four 1-week periods over 1 year. Logistic regression analyses were used to predict occurrence of specific types of pain using children's demographic, medical, and physical characteristics. Children had 406 episodes of pain due to accident, gastrointestinal conditions, musculoskeletal problems, infection, recurrent conditions, and common childhood causes. Results indicated that a unique set of risk factors predicted each pain type in this sample. Significant risk factors for pain included: lack of visual impairment and leg impairment (accidental pain); seizures, leg impairment, and greater number of medications (non-accidental pain); being male and tube fed (musculoskeletal pain); age <7 years, absence of CP, visual impairment, and less frequent medical monitoring (infection pain); being female and with arm impairment (gastrointestinal pain); and being tube fed and taking fewer medications (common childhood pains). In most cases, models were more specific than sensitive, indicating that the significant predictors are more useful for eliminating potential pain causes. These results suggest that population risk factors may be helpful in structuring diagnostic investigations for individual children with severe cognitive impairments.
由于存在沟通问题,诊断重度认知障碍儿童的疼痛原因很困难。识别特定疼痛病因的风险因素可能有助于专业人员完成这项任务。本研究的目的是确定与儿童相关的特征是否会增加特定类型疼痛的风险。参与者是41名女性和53名男性中重度智力障碍儿童的照料者,这些儿童年龄在3岁至18岁8个月之间(平均10岁1个月,标准差4岁4个月),但沟通水平相当于13.8个月大的正常儿童(标准差10个月):其中44名儿童患有脑瘫(CP),59名患有癫痫症。照料者报告了这些儿童在1年中四个为期1周时间段内的疼痛发作原因。采用逻辑回归分析,利用儿童的人口统计学、医学和身体特征来预测特定类型疼痛的发生情况。儿童因意外、胃肠道疾病、肌肉骨骼问题、感染、复发性疾病和常见儿童病因出现了406次疼痛发作。结果表明,一组独特的风险因素可预测该样本中的每种疼痛类型。疼痛的显著风险因素包括:无视力障碍和腿部损伤(意外疼痛);癫痫发作、腿部损伤和更多的用药数量(非意外疼痛);男性和通过管饲进食(肌肉骨骼疼痛);年龄<7岁、无脑瘫、视力障碍和较少的医学监测(感染疼痛);女性和手臂损伤(胃肠道疼痛);以及通过管饲进食和较少的用药量(常见儿童疼痛)。在大多数情况下,模型的特异性高于敏感性,这表明显著预测因素在排除潜在疼痛原因方面更有用。这些结果表明,总体风险因素可能有助于为重度认知障碍的个体儿童构建诊断性调查。