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新的分类算法指导胸椎后纵韧带骨化的手术决策:一项 108 例患者中短期至长期随访的研究。

New Classification Algorithm Guiding Surgical Decision-making for Posterior Longitudinal Ligament Ossification of the Thoracic Spine: A Study of 108 Patients With Mid-term to Long-term Follow-up.

机构信息

Orthopaedic Department, Peking University Third Hospital.

Orthopaedic Department, Beijing Jishuitan Hospital, Beijing, China.

出版信息

Clin Spine Surg. 2021 Apr 1;34(3):E172-E176. doi: 10.1097/BSD.0000000000001080.

Abstract

STUDY DESIGN

This is a single-center, retrospective, cohort study.

OBJECTIVE

The objective of this study was to propose a surgical classification algorithm guiding the choice of surgical approaches for ossification of the posterior longitudinal ligament (OPLL) in the thoracic spine based on the characteristics of each patient's specific pathology.

SUMMARY OF BACKGROUND DATA

Surgical decision-making in this OPLL patient population requires balancing a more definitive decompression of the thoracic spinal cord through direct decompression against a higher risk of significant complications.

MATERIALS AND METHODS

Patients with a primary diagnosis of thoracic OPLL who received surgical decompression in a tertiary spine center between May 2009 and June 2015 were included. Surgical planning was guided by our classification algorithm according to the location and the extent of OPLL in each patient. Patient demographics, neurological function using the 11-point Japanese Orthopaedic Association scale, length of procedure, estimated blood loss, the occurrence of major complications, etc., were extracted from the database of electronic medical record system. The Kruskal-Wallis test and Fisher exact test were used when data were not normally distributed.

RESULTS

A total of 115 patients (33 men and 82 women) were included in this study, among whom 108 had a follow-up of at least 12 months (average: 51.7±22.2 mo, range: 12-100 mo). On the basis of our classification algorithm, 11 patients were type I, 26 were type II, 60 were type III, 11 were type IV, and the choice of surgical decompression techniques used in each patient followed that recommended by the algorithm in all cases. On average, the Japanese Orthopaedic Association score improved from 5.0±1.8 preoperatively to 8.7±1.7 postoperatively, with a Hirabayashi improvement rate of 63.6%.

CONCLUSION

A new surgical classification algorithm guiding the choice of approach for decompression of OPLL in the thoracic spine was validated in a series of 108 patients through an analysis of their clinical outcomes and surgical complications.

LEVEL OF EVIDENCE

Level III.

摘要

研究设计

这是一项单中心、回顾性队列研究。

目的

本研究旨在提出一种基于患者特定病理特征的手术分类算法,以指导胸椎后纵韧带骨化症(OPLL)的手术入路选择。

背景资料概要

在该 OPLL 患者群体中,手术决策需要平衡通过直接减压对胸脊髓进行更明确的减压与发生重大并发症的较高风险。

材料与方法

纳入 2009 年 5 月至 2015 年 6 月在一家三级脊柱中心接受手术减压治疗的原发性胸椎 OPLL 患者。根据每位患者 OPLL 的位置和范围,我们的分类算法指导手术规划。从电子病历系统的数据库中提取患者人口统计学资料、日本矫形协会 11 分量表评估的神经功能、手术时间、估计失血量、主要并发症发生情况等。当数据不符合正态分布时,使用 Kruskal-Wallis 检验和 Fisher 确切检验。

结果

本研究共纳入 115 例患者(33 名男性和 82 名女性),其中 108 例获得至少 12 个月的随访(平均:51.7±22.2 个月,范围:12-100 个月)。根据我们的分类算法,11 例为 I 型,26 例为 II 型,60 例为 III 型,11 例为 IV 型,在所有情况下,每位患者均采用分类算法推荐的手术减压技术。平均而言,日本矫形协会评分从术前的 5.0±1.8 提高到术后的 8.7±1.7,Hirabayashi 改善率为 63.6%。

结论

通过对 108 例患者的临床结果和手术并发症进行分析,验证了一种新的指导胸椎 OPLL 减压手术入路选择的手术分类算法。

证据等级

III 级。

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