Suppr超能文献

多节段颈椎后纵韧带骨化症患者与脊髓型颈椎病患者术前矢状面排列的比较研究

Comparative study of preoperative sagittal alignment between patients with multisegment cervical ossification of the posterior longitudinal ligament and cervical spondylotic myelopathy.

作者信息

Li Hao, Ma Zhihao, Wang Xia, Yuan Suomao, Tian Yonghao, Wang Lianlei, Liu Xinyu

机构信息

Department of Orthopedics, Qilu Hospital of Shandong University, Wenhua West Rd 107#, Jinan, Shandong, 250012, P. R. China.

Department of Orthopedics, Qilu Hospital of Shandong University, Wenhua West Rd 107#, Jinan, Shandong, 250012, P. R. China.

出版信息

Spine J. 2023 Nov;23(11):1667-1673. doi: 10.1016/j.spinee.2023.06.390. Epub 2023 Jun 23.

Abstract

BACKGROUND CONTEXT

Preoperative sagittal alignment is of great significance in the development of spinal deformities, degenerative diseases, preoperative planning, postoperative clinical evaluation, and functional recovery. However, few reports have focused on the difference in preoperative sagittal alignment between patients with ossification of the posterior longitudinal ligament (OPLL) and patients with cervical spondylotic myelopathy (CSM).

PURPOSE

To compare preoperative sagittal alignment between patients with multisegment cervical OPLL and multilevel CSM.

STUDY DESIGN

Retrospective study.

PATIENT SAMPLE

A total of 243 patients were included in this study.

OUTCOME MEASURES

The outcome measures were the Japanese Orthopaedic Association (JOA) score, visual analog scale (VAS) score, number of hand actions in 10 seconds, hand-grip strength, C2 to C7 Cobb angle, C2 to C5 Cobb angle, C5 to C7 Cobb angle, C2 to C7 sagittal vertical axis, C7 slope, T1 slope, K-line, K-line tilt, and range of motion (ROM).

METHODS

The outcome measures were calculated in the OPLL group and CSM group and the data were analyzed using the unpaired t-test, χ² test, and one-way analysis of variance.

RESULTS

A total of 243 patients (136 men, 107 women; mean age, 59.1±10.6 years) underwent surgical treatment from September 2013 to December 2021. In total, 123 patients were diagnosed with multisegment cervical OPLL, including continuous type (n=39), segmental type (n=38), and mixed type (n=46). The remaining 120 patients had multisegment CSM. The disease course in the OPLL group was significantly shorter than that in the CSM group (p<.05). Among the above preoperative measurements, the JOA score, number of hand actions in 10 seconds, hand-grip strength, and VAS score were not significantly different between the two groups (p>.05). The C2 to C7 Cobb angle was significantly larger in the OPLL than CSM group (17.7°±9.2° and 14.9°±9.3°, respectively; p< .05), as was the C5 to C7 Cobb angle (10.0°±6.3° and 7.5°±6.1°, respectively; p<.05). The ROM was significantly smaller in the OPLL than CSM group (33.1°±8.1° and 40.1°±10.9°, respectively; p<.001). Within the OPLL group, the ROM was significantly smaller in the continuous type than in the segmental type (p<.05).

CONCLUSION

Patients with multisegment cervical OPLL have greater lordotic preoperative sagittal alignment and smaller preoperative ROM than patients with CSM.

摘要

背景

术前矢状面排列在脊柱畸形、退行性疾病的发展、术前规划、术后临床评估及功能恢复中具有重要意义。然而,关于后纵韧带骨化症(OPLL)患者与脊髓型颈椎病(CSM)患者术前矢状面排列差异的报道较少。

目的

比较多节段颈椎OPLL患者与多节段CSM患者的术前矢状面排列。

研究设计

回顾性研究。

患者样本

本研究共纳入243例患者。

观察指标

观察指标包括日本骨科协会(JOA)评分、视觉模拟量表(VAS)评分、10秒内手部动作次数、握力、C2至C7 Cobb角、C2至C5 Cobb角、C5至C7 Cobb角、C2至C7矢状垂直轴、C7斜率、T1斜率、K线、K线倾斜度及活动范围(ROM)。

方法

计算OPLL组和CSM组的观察指标,并采用非配对t检验、χ²检验及单因素方差分析对数据进行分析。

结果

2013年9月至2021年12月,共有243例患者(男136例,女107例;平均年龄59.1±10.6岁)接受了手术治疗。其中,123例患者被诊断为多节段颈椎OPLL,包括连续型(n = 39)、节段型(n = 38)和混合型(n = 46)。其余120例患者患有多节段CSM。OPLL组的病程明显短于CSM组(p <.05)。在上述术前测量指标中,两组间的JOA评分、10秒内手部动作次数、握力及VAS评分无显著差异(p >.05)。OPLL组的C2至C7 Cobb角明显大于CSM组(分别为17.7°±9.2°和14.9°±9.3°;p <.05),C5至C7 Cobb角也是如此(分别为10.0°±6.3°和7.5°±6.1°;p <.05)。OPLL组的ROM明显小于CSM组(分别为33.1°±8.1°和40.1°±10.9°;p <.001)。在OPLL组内,连续型的ROM明显小于节段型(p <.05)。

结论

与CSM患者相比,多节段颈椎OPLL患者术前矢状面前凸更大,术前ROM更小。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验