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基于算法前方方法的两级退行性宫椎盘疾病的治疗:一个多中心前性研究
Vadim A Byvaltsev1,2,3, Andrei A Kalinin4,5, Marat A Aliyev4,6
1Department of Neurosurgery, Irkutsk State Medical University, 1 Krassnogo Vosstaniya Street, off 201, 664003, Irkutsk, Irkutskaya Oblast', Russia. vadim75byvaltsev@gmail.com.
Neurosurgical review
|September 18, 2023
概括
一种算法前方方法显著改善了两级宫退行性磁盘疾病的手术结果. 与传统治疗相比,这种方法带来了更好的疼痛缓解,功能和更少的并发症.
科学领域:
- 神经外科和骨架脊椎外科手术
- 退行性椎脊柱疾病 退行性椎脊柱疾病
- 手术治疗算法 手术治疗算法
背景情况:
- 两级宫性退行性磁盘疾病带来复杂的治疗挑战.
- 传统的前部方法缺乏标准化的决策,用于手术技术的选择.
- 优化患者的治疗结果需要评估新的算法治疗策略.
研究的目的:
- 评估对两级椎退行性磁盘疾病的算法前部手术方法的疗效.
- 为了比较算法和传统治疗组之间的临床结果和并发症率.
- 在算法中识别影响治疗决策的术前参数.
主要方法:
- 一项前性研究 (I组,n=126) 使用了全盘替换 (TDR),前椎间盘切除和融合 (ACDF) 或混合技术的算法.
- 对照组 (II组,n=118) 接受了标准前部减压,使用TDR,ACDF或混合稳定.
- 临床结果 (VAS,NDI,SF-36,Macnab,Nurick尺度) 和并发症在至少2年的随访期间进行了评估.
主要成果:
- 第一个组在VAS部/上肢疼痛,NDI,SF-36分数和Macnab/Nurick尺度 (p<0.05) 中显示出明显更好的结果.
- 第一个组的并发症率 (6.3%) 明显低于第二组 (24.6%) (p=0.0001).
- 算法方法促进了基于手术前参数的优化手术技术选择.
结论:
- 一种算法前方方法显著改善了两级宫退行性磁盘疾病的功能结果.
- 与非算法,传统的外科手术方法相比,这种策略可以减少术后并发症.
- 该算法提供了一个结构化的框架,用于优化这种患者群体的外科治疗选择.
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