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Digital nerve injuries: a review of predictors of sensory recovery after microsurgical digital nerve repair

机译:指神经损伤:显微外科指神经修复后感觉恢复的预测指标综述

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Background Optimal surgical management of digital nerve lesions remains uncertain despite the publication of numerous studies. The purposes of this review were primarily to analyze whether there is a superior surgical technique for digital nerve repair and secondarily to statistically verify the variables to be predictors of sensory recovery. Methods A literature search was performed using PubMed including citation from MEDLINE. Studies were included if they involved patients with digital nerve lacerations in whom end-to-end neurorrhaphy, nerve grafts, conduits, or end-to-side neurorrhaphy were performed. Further, the sensory outcome had to be assessed according to the modified American Society for Surgery of the Hand guidelines to stratify for two-point discrimination in millimeters. The variables age, follow-up, delay in repair, type of trauma, and gap length were extracted. The association between each predictor and response was assessed using a linear mixed model and corrected for heterogeneity between studies. Significance was considered present at p ?≤?0.05. Results Of the 34 articles found, 14 articles were included giving appropriate individual data for 191 nerves. There was no statistically significant difference in outcome between operation techniques. Age and follow-up were verified predictors of sensory recovery. Conclusion In this review, the type of operation for digital nerve repair does not influence sensory outcome. However, we verified outcome to be influenced by the patient’s age and the follow-up period. To add more scientific evidence to our results, larger cohort prospective studies need to be done with better detailed description of data.
机译:背景技术尽管发表了许多研究,但是对数字神经病变的最佳手术治疗仍不确定。这篇综述的目的主要是分析是否有用于数字神经修复的高级外科手术技术,其次是统计地验证变量以作为感觉恢复的预测指标。方法使用PubMED进行文献检索,包括MEDLINE的引文。如果涉及涉及指状神经撕裂伤的患者,则进行了端对端神经性腹泻,神经移植,导管或端对侧神经性腹泻的研究。此外,必须根据修改后的美国手外科学会指南对感觉结果进行评估,以便对以毫米为单位的两点鉴别进行分层。提取变量年龄,随访,修复延迟,创伤类型和间隙长度。使用线性混合模型评估每个预测因子与反应之间的关联,并针对研究之间的异质性进行校正。认为存在显着性为p≤≤0.05。结果共发现34篇文章,其中14篇文章提供了191条神经的适当个人数据。手术技术之间的结果无统计学差异。年龄和随访是证实感觉恢复的预测指标。结论在这篇综述中,数字神经修复的手术类型不影响感觉结果。但是,我们验证了结果受患者年龄和随访时间的影响。为了给我们的结果增加更多的科学证据,需要对更大的队列前瞻性研究进行更好的数据描述。

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