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基于证据的干预措施和ACL重建后恢复运动的功能性结果:系统性审查和元分析

Ravinder Kumar¹, Avishek Singh¹, Vikram Singh¹

¹Department of Physical Education, Banaras Hindu University, Varanasi, 221005 India.

Indian journal of orthopaedics

|February 11, 2026

概括

综合身体,心理和技术方法的多学科康复显著改善了前十字带重建 (ACLR) 后的运动回归 (RTS). 标准化协议和验证新工具对于临床实践至关重要.

科学领域:

整形外科整形外科整形外科
运动医学运动医学
康复科学康复科学康复科学

背景情况:

前十字带重建 (ACLR) 康复面临的挑战是由于不一致的协议,指标和心理支持.
在ACLR之后,优化运动回归 (RTS) 需要采取全面的方法来解决这些不一致性.

研究的目的:

系统地审查和元分析多学科康复策略对ACLR后功能恢复和RTS的有效性.
评估包括力量训练,神经肌肉再教育,心理准备,血液流量限制 (BFR) 治疗和可穿戴传感器技术在内的干预措施.

主要方法:

在Scopus,PubMed,Web of Science和IEEE Xplore (2018-2024) 中进行了系统的文献搜索.
73项研究被纳入了随机效应元分析,计算了聚合标准化平均差异 (SMD).
使用AMSTAR-2和GRADE工具评估了方法质量和证据强度.

主要成果:

力量和神经肌肉训练改善了四头肌的恢复和四肢对称性 (SMD = 0.64,p < 0.01).
血液流量限制 (BFR) 疗法对过度缩小和早期功能表现出显著的影响 (SMD = 1.28,p < 0.0001).
心理准备强烈预测了RTS (SMD = 0.82,p < 0.0001),可穿戴传感器/AI改善了步态跟踪和RTS预测 (SMD = 0.46,p < 0.0001).

结论:

综合物理,心理和技术要素的多模式康复优化了ACLR后的RTS结果.
标准化干预标准和验证基于传感器和人工智能支持的工具对于临床翻译至关重要.

关键词:

在ACL重建的重建.血流的限制血流的限制机器学习机器学习心理准备心理准备回到体育运动.可穿戴式传感器

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