Neural interface-based motor neuroprosthesis in post-stroke upper limb neurorehabilitation: An individual patient data meta-analysis.

神经康复 医学 最小临床重要差异 物理医学与康复 康复 冲程(发动机) 神经假体 单变量分析 物理疗法 多元分析 随机对照试验 内科学 机械工程 工程类
作者
Yu Tung Lo,Mervyn Jun Rui Lim,Chun Yen Kok,Shilin Wang,S. Blok,Ting Yao Ang,Vincent Y. Ng,Jai Prashanth Rao,Karen Sui Geok Chua
出处
期刊:Archives of Physical Medicine and Rehabilitation [Elsevier BV]
被引量:2
标识
DOI:10.1016/j.apmr.2024.04.001
摘要

Abstract

Objective

To determine the efficacy of neural interface-, including brain-computer interface (BCI), based neurorehabilitation through conventional and individual patient data (IPD) meta-analysis, and to assess clinical parameters associated with positive response to neural interface-based neurorehabilitation.

Data Sources

PubMed, EMBASE, and Cochrane Library databases up to February 2022 were reviewed.

Study Selection

Studies using neural interface-controlled physical effectors (FES and/or powered exoskeletons) and reported Fugl-Meyer Assessment-upper extremity (FMA-UE) scores were identified. This meta-analysis was prospectively registered on PROSPERO (#CRD42022312428). PRISMA guidelines were followed.

Data Extraction

Change in FMA-UE scores were pooled to estimate the mean effect size. Subgroup analyses were performed on clinical parameters and neural interface parameters with both study-level variables and IPD.

Data Synthesis

Forty-six studies containing 617 patients were included. Twenty-nine studies involving 214 patients reported IPD. FMA-UE score increased by a mean of 5.23 (95% CI: 3.85 to 6.61). Systems that used motor attempt resulted in greater FMA-UE gain than motor imagery, as did training lasting >4 versus ≤4 weeks. On IPD analysis, the mean time-to-improvement above MCID was 12 weeks (95% CI: 7 to not reached). At 6 months, 58% improved above MCID (95% CI: 41 to 70%). Patients with severe impairment (p=0.042) and age >50 years (p=0.0022) correlated with the failure to improve above the MCID on univariate log-rank tests. However, these factors were only borderline significant on multivariate Cox analysis (HR 0.15, p = 0.08 and HR 0.47, p = 0.06, respectively).

Conclusion

Neural interface-based motor rehabilitation resulted in significant though modest reductions in post-stroke impairment and should be considered for wider applications in stroke neurorehabilitation.

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