Olivella Gerardo, Deliz-Jimenez David, Lindsay Eduardo, Burgos-Rossy Edwin, Torres-Acevedo Natalia, Ramírez-Roggio Daniela, Benítez-Gándara Graciela, Ramírez Norman
Orthopaedic Surgery Department, University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico.
Family Medicine Department, Mayaguez Medical Center, Mayaguez, Puerto Rico.
J Child Orthop. 2022 Dec;16(6):461-465. doi: 10.1177/18632521221137392. Epub 2022 Nov 30.
Pediatric back pain evaluation nowadays relies on patient history, physical examination, and plain radiographs to identify underlying pathologies. Constant pain, night pain, radicular pain, and abnormal neurological examination were previously recommended as clinical markers to assess the need for magnetic resonance imaging evaluation. Recent studies have challenged the use of these clinical markers, recommending further studies. This study aimed to assess pain intensity as a predictor of underlying magnetic resonance imaging pathology in children with back pain.
An observational cross-sectional study of pediatric patients between 8 and 17 years with back pain for more than 4 weeks from 2009 to 2021 was conducted. A whole spine magnetic resonance imaging was performed on patients with back pain without an identifiable cause and no prior spine treatment. The numerical rating scale questionnaire was administered to each patient, and answers were divided into three groups: mild (1-3), moderate (4-6), and severe (7-10) numerical rating scale score. Student's -test and chi-square analysis were used to correlate differences between continuous and categorical values, respectively.
Of 590 patients (70% female and a mean age of 15.25 years), there were 35.1% of patients had a magnetic resonance imaging underlying pathology. No association was found between severe numerical rating scale score and the presence of underlying MRI pathology (p = 0.666). Patients with low or moderate numerical rating scale scores had similar associations to an underlying magnetic resonance imaging pathology as patients with a severe numerical rating scale score (p = 0.256; p = 0.357, respectively).
Back pain intensity was not found to be an effective clinical marker for predicting underlying magnetic resonance imaging pathology in pediatric patients with back pain.
如今,小儿背痛评估依赖于患者病史、体格检查及X线平片来识别潜在病变。持续疼痛、夜间疼痛、神经根性疼痛及异常神经系统检查曾被推荐作为评估是否需要进行磁共振成像(MRI)评估的临床指标。近期研究对这些临床指标的应用提出了质疑,并建议开展进一步研究。本研究旨在评估疼痛强度作为背痛患儿潜在MRI病变预测指标的价值。
对2009年至2021年间年龄在8至17岁、背痛超过4周的小儿患者进行了一项观察性横断面研究。对无明确病因且未接受过脊柱治疗的背痛患者进行了全脊柱MRI检查。向每位患者发放数字评定量表问卷,答案分为三组:轻度(1 - 3)、中度(4 - 6)和重度(7 - 10)数字评定量表评分。分别采用Student's t检验和卡方分析来关联连续值和分类值之间的差异。
590例患者(70%为女性,平均年龄15.25岁)中,35.1%的患者存在MRI潜在病变。未发现重度数字评定量表评分与潜在MRI病变之间存在关联(p = 0.666)。数字评定量表评分低或中度的患者与潜在MRI病变的关联与重度数字评定量表评分的患者相似(分别为p = 0.256;p = 0.357)。
在小儿背痛患者中,未发现疼痛强度是预测潜在MRI病变的有效临床指标。