中国神经再生研究(英文版) ›› 2014, Vol. 9 ›› Issue (6): 661-672.doi: 10.4103/1673-5374.130094

• 原著:周围神经损伤修复保护与再生 • 上一篇    

影响上肢周围神经损伤修复的因素:有“量效”关系或因人而异

  

  • 收稿日期:2014-02-12 出版日期:2014-03-22 发布日期:2014-03-22
  • 基金资助:

    国家863计划 (No.2012AA020507); 高等学校博士学科点专项科研基金(SRFDP) (No.20120171120075);广东省自然科学基金博士启动项目 (No.S201204006336 ); 中山大学先进技术研究院项目(No.90035-3283312)

Factors predicting sensory and motor recovery after the repair of upper limb peripheral nerve injuries

Bo He, Zhaowei Zhu, Qingtang Zhu, Xiang Zhou, Canbin Zheng, Pengliang Li, Shuang Zhu, Xiaolin Liu, Jiakai Zhu   

  1. Department of Microsurgery and Orthopedic Trauma, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
  • Received:2014-02-12 Online:2014-03-22 Published:2014-03-22
  • Contact: Xiaolin Liu, M.D., Professor, Department of Microsurgery and Orthopedic Trauma, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, Guangdong Province, China, gzxiaolinliu@hotmail.com.
  • Supported by:

    This study was supported by the National High-Technology Research and Development Program of China (863 Program), No. 2012A A020507; 985 Program of Sun Yat-sen University, No. 90035-3283312; Specialized Research Fund for the Doctoral Program of Higher Education, No. 20120171120075; and Doctoral Start-up Project of the Natural Science Foundation of Guangdong Province, No. S201204006336.

摘要:

目的:通过分析影响上肢周围神经损伤修复效果的因素,预估上肢神经感觉、运动功能的预后情况。 
资料来源:以 “正中神经”、“尺神经”、“桡神经”、“上肢”、“手指”、“神经修复” 或”神经再生”为检索词检索Pubmed数据库英文文献,主要涉及肢正中、尺、桡神经和指神经损伤修复方面,文献包含患者个体信息的临床研究。提取文献中患者年龄、性别、损伤原因、部位、修复时机、修复材料与缺损长度,以及受损神经种类等暴露因素,限定搜索词为人类、男性、女性、英语,发表日期从1900/01/01至2011/2/16。
资料选择:纳入上肢正中、尺、桡神经和指神经损伤临床研究的英文文献,包括个体信息如患者年龄、损伤机制、损伤神经的类型、损伤位置、缺损长度、修复时间、修复方法、修复材料和随访时间。用SPSS 13.0软件,对上述研究的影响因素或干预因素进行单变量和多变量线性回归分析。
结局评价指标:感觉神经选用Macinnon-Dellon感觉功能评级为主要疗效指标,运动功能采用英国医学研究会神经损伤分会肌力分级为主要疗效指标。
结果:文章最终纳入了71篇文献,对患者的年龄、性别、损伤原因、损伤位置、修复时间、修复材料、损伤神经的类型、缺损长度进行了单变量和多变量的线性回归分析。单变量和多变量分析结果表明,修复时间、修复材料和神经类型是神经损伤修复预后的影响因素(P < 0.05),其中神经类型是决定术后神经功能恢复优良率的重要因素。
结论:影响上肢周围神经修复疗效的个体水平异质性来源包括:年龄、性别、修复时机、神经修复材料、损伤神经种类、缺损长度、随访时间等,其中尤以神经类型与预后密切相关。

关键词: 神经再生, 周围神经损伤, 周围神经, 结果预测, 神经修复, 上肢, 单因素分析, 预后, 国家863计划

Abstract:

OBJECTIVE: To investigate the factors associated with sensory and motor recovery after the repair of upper limb peripheral nerve injuries.
DATA SOURCES: The online PubMed database was searched for English articles describing outcomes after the repair of median, ulnar, radial, and digital nerve injuries in humans with a publication date between 1 January 1990 and 16 February 2011.
STUDY SELECTION: The following types of article were selected: (1) clinical trials describing the repair of median, ulnar, radial, and digital nerve injuries published in English; and (2) studies that reported sufficient patient information, including age, mechanism of injury, nerve injured, injury location, defect length, repair time, repair method, and repair materials. SPSS 13.0 software was used to perform univariate and multivariate logistic regression analyses and to investigate the patient and intervention factors associated with outcomes.
MAIN OUTCOME MEASURES: Sensory function was assessed using the Mackinnon-Dellon scale and motor function was assessed using the manual muscle test. Satisfactory motor recovery was defined as grade M4 or M5, and satisfactory sensory recovery was defined as grade S3+ or S4.
RESULTS: Seventy-one articles were included in this study. Univariate and multivariate logistic regression analyses showed that repair time, repair materials, and nerve injured were independent predictors of outcome after the repair of nerve injuries (P < 0.05), and that the nerve injured was the main factor affecting the rate of good to excellent recovery.
CONCLUSION: Predictors of outcome after the repair of peripheral nerve injuries include age, gender, repair time, repair materials, nerve injured, defect length, and duration of follow-up.

Key words: nerve regeneration, peripheral nerve injury, outcome predictors, nerve repair, upper limb, univariate analysis, prognosis, 863 Program, neural regeneration