骨水泥弥散分布对椎体强化术后疼痛的影响
Effect of diffusion distribution of bone cement on pain after vertebral augmentation
李威 1周静2
作者信息
- 1. 重庆市开州区人民医院骨科,重庆 开州 405400
- 2. 贵阳中医学院第一附属医院骨科,贵州 贵阳 550100
- 折叠
摘要
目的 探讨骨水泥弥散状态对椎体强化术后残留疼痛的影响.方法 回顾性分析2018年5月至2021年5月于重庆市开州区人民医院接受椎体强化术治疗的108例骨质疏松性椎体压缩性骨折(OVCFs)患者的临床资料.根据骨水泥弥散分布情况,将患者分为A组(骨水泥弥散充分,n=69)和B组(骨水泥弥散不充分,n=39).对比2组患者视觉模拟量表(VAS)评分、Oswestry功能障碍指数(ODI)评分、损伤椎体高度(IVH)、局部后凸Cobb角(LKA).结果 术后第2天及末次随访时,A组患者VAS、ODI评分均低于B组(P<0.05).与术前比较,2组患者术后第2天LKA增加(P<0.05),但组间比较差异无统计学意义(P>0.05).2组患者手术前后IVH组间比较,差异均无统计学意义(P>0.05).结论 骨水泥充分弥散可减轻椎体强化术后残留疼痛.
Abstract
Objective To investigate the effect of bone cement diffusion on residual pain after vertebral augmentation.Methods The clinical data of 108 patients with osteoporotic vertebral compression fractures(OVCFs)who treated with vertebral augmentation in People's Hospital of Kaizhou District in Chongqing from May 2018 to May 2021 were retrospectively analyzed.According to the diffusion distribution of bone cement,the patients were divided into the group A(with sufficient diffusion of bone cement,n=69)and the group B(with insufficient diffusion of bone cement,n=39).The visual analogue scale(VAS)score,Oswestry disability index(ODI)score,injured vertebral height(IVH)and local kyphosis angle(LKA)in the two groups were compared.Results The VAS and ODI scores on the second day after surgery and at the last follow-up in the group A were lower than those in the group B(P<0.05).The LKA on the second day after surgery in both groups were increased compared with those before surgery(P<0.05),while there was no statistically significant difference between the two groups(P>0.05).There was no significant difference in the IVH before or after surgery between the two groups(P>0.05).Conclusion Sufficient diffusion of bone cement can alleviate the residual pain after vertebral augmentation.
关键词
椎体强化术/残留疼痛/骨水泥/弥散分布/骨质疏松性椎体压缩性骨折Key words
vertebral augmentation/residual pain/bone cement/diffusion distribution/osteoporotic vertebral compression fractures引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据