Barbetta D C, Lopes A C G, Chagas F N M R, Soares P T, Casaro F M, Poletto M F, de Carvalho Paiva Ribeiro Y H, Ogashawara T O
Spinal Cord Injury Neurorehabilitation Unit, SARAH Network of Rehabilitation Hospitals, Brasília, Brazil.
Spinal Cord Injury Neurorehabilitation Unit, SARAH Network of Rehabilitation Hospitals, Belo Horizonte, Brazil.
Spinal Cord. 2016 Feb;54(2):145-9. doi: 10.1038/sc.2015.126. Epub 2015 Jul 28.
Increased demands on the upper extremities (UE) have been associated with a higher occurrence of musculoskeletal pain in individuals with spinal cord injury (SCI).
This is a cross-sectional retrospective study.
The aim of this study was to characterize SCI subjects with musculoskeletal pain in the UE and to determine which variables could predict musculoskeletal pain in these individuals.
The study was conducted in SARAH Network of Rehabilitation Hospitals, Brasília, Brazil.
Five hundred sixty-four electronic medical records were investigated through a retrospective, exploratory and descriptive analysis to identify individuals with UE pain. A logistic regression model was applied to estimate (odds ratios) whether gender, age, the level of injury, severity of injury, time of injury, body mass index, type of mobility and locomotion aid could predict the occurrence of musculoskeletal pain.
The prevalence of musculoskeletal pain in the UE was 27.7%. The odds of having musculoskeletal pain were two times higher among woman and tetraplegic patients; those over 41 years of age had twice the frequency of pain than did those <24.7 years; <1 year of injury was a predictor of musculoskeletal pain, compared with the other quartiles (1.1-2.8, 2.9-6.8 and 6.9+ years of injury). There were no differences between the wheelchair and ambulatory individuals.
Female individuals, those with tetraplegia, aged >40 years and <1 year of injury showed an increased risk of musculoskeletal pain.
上肢需求增加与脊髓损伤(SCI)患者肌肉骨骼疼痛的发生率较高有关。
这是一项横断面回顾性研究。
本研究的目的是对患有上肢肌肉骨骼疼痛的SCI患者进行特征描述,并确定哪些变量可以预测这些个体的肌肉骨骼疼痛。
该研究在巴西巴西利亚的莎拉康复医院网络中进行。
通过回顾性、探索性和描述性分析对564份电子病历进行调查,以识别上肢疼痛患者。应用逻辑回归模型来估计(优势比)性别、年龄、损伤水平、损伤严重程度、受伤时间、体重指数、移动类型和移动辅助工具是否可以预测肌肉骨骼疼痛的发生。
上肢肌肉骨骼疼痛的患病率为27.7%。女性和四肢瘫痪患者发生肌肉骨骼疼痛的几率高出两倍;41岁以上的患者疼痛频率是24.7岁以下患者的两倍;与其他四分位数(受伤1.1 - 2.8年、2.9 - 6.8年和6.9年以上)相比,受伤<1年是肌肉骨骼疼痛的一个预测因素。轮椅使用者和步行者之间没有差异。
女性、四肢瘫痪者、年龄>40岁且受伤<1年的个体肌肉骨骼疼痛风险增加。