目的:研究重症颅脑损伤(sTBI)患者去骨瓣减压术(DC)后采取上肢康复机器人训练(ULRRT)联 合虚拟现实(VR)互动干预后,其日常生活能力、神经功能、认知功能和肢体功能的改善情况。同时,依照“认知 行为理论”,探讨认知功能、神经功能在肢体功能对日常生活行为的关系中的中介效应。方法:回顾性分析 2019 年 1 月—2023 年 6 月于西安交通大学第一附属医院治疗的 92 例 sTBI 患者的临床资料,根据可比性原则按不同干预方 式将其划分为机器人组(32 例,常规干预 + 上肢康复机器人干预)、VR 组(26 例,常规干预 +VR 互动干预)、 联合组(34 例,常规干预 + 上肢康复机器人干预 +VR 互动干预)。采用美国国立卫生院卒中量表(NIHSS)、简易 精神状态检查(MMSE)、上肢运动功能评定量表(FMA-UE)及日常生活能力量表(ADL)分别评估并比较三组患 者的神经功能、认知功能、上肢功能及日常生活能力。结果:干预后,联合组 MMSE、FMA-UE、ADL 评分均高于 机器人组、VR 组(P<0.05),而联合组 NIHSS 低于机器人组、VR 组(P<0.05)。ADL 与 MMSE、FMA-UE 为正相 关关系,与 NIHSS 为负相关关系(P<0.05)。ADL 的变化受到 FMA-UE、NIHSS 和 MMSE 的影响。NIHSS、MMSE 在 FMA-UE 对 ADL 的影响关系中起到完全中介的作用。结论:上肢康复机器人联合 VR 互动干预对 sTBI 患者术后 康复具有积极意义,可以提高上肢运动功能,改善认知和神经功能,进而提高生活质量。
Objective: To investigate the improvement of activities of daily living (ADLs), cognitive function, and limb function in patients with severe traumatic brain injury (sTBI) who underwent upper limb rehabilitation robot training(ULRRT) combined with virtual reality (VR) interactive intervention after decompressive craniectomy (DC). Meanwhile, to explore the mediating effects of cognitive and neurological functions on the relationship between limb function and ADLs based on the Cognitive Behavioral Theory. Methods: Clinical data of 92 sTBI patients who were treated in the First Affiliated Hospital of Xi’an Jiaotong University from January 2019 to June 2023 was retrospectively analyzed. The patients were divided into the robot group (n=32), VR group (n=26) and joint group (n=34) according to different intervention ways. The robot group received conventional intervention + upper limb robot intervention, the VR group received conventional intervention + VR interactive intervention, while the joint group received upper limb robot training intervention + VR interactive intervention on the basis of conventional intervention. The national institutes of health stroke scale (NIHSS), mini-mental state examination (MMSE), FuglMeyer assessment of the upper extremity (FMA-UE) and ADL scale were used to evaluate and compare the degree of neurological deficits, cognitive function, upper limb function and ADLs of patients in the three groups. Results: After intervention, the MMSE, FMA-UE and ADL scores of the joint group were higher than those of the robot group and VR group (P<0.05), while the NIHSS of the joint group was lower than that of the robot group and VR group (P<0.05). The ADLs is positively correlated with MMSE and FMA-UE, and negatively correlated with NIHSS (P<0.05). The changes in ADL scale were influenced by FMAUE, NIHSS and MMSE. NIHSS and MMSE play a fully mediating role in the relationship between FMA-UE and ADL scale. Conclusion: The combination of upper limb rehabilitation robot combined with VR interactive intervention has a positive effect on the postoperative recovery of sTBI patients, which can improve patients’ upper limb motor function, cognitive function, and ultimately enhance their quality of life.
收稿日期:2024-01-11 录用日期:2024-05-19
Received Date: 2024-01-11 Accepted Date: 2024-05-19
基金项目:陕西省重点研发项目计划(2020JM-079)
Foundation Item: Key R&D Project Plan of Shaanxi Province (2020JM-079)
通讯作者:杨芳,Email:Yf15398067855@163.com
Corresponding Author: YANG Fang, Email: Yf15398067855@163.com
引用格式:王婷婷,蔺洁璐,李静,等 . 上肢康复机器人联合 VR 训练对重症颅脑损伤术后干预效果及对日常行为的中介效应研究 [J]. 机器人外科学杂志(中英文),2024,5(6):1142-1148.
Citation: WANG T T, LIN J L, LI J, et al. Study on the effect of upper limb rehabilitation robot combined with VR training on the postoperative recovery of severe traumatic brain injury patients and the mediating effect on daily behavior[J]. Chinese Journal of Robotic Surgery, 2024, 5(6): 1142-1148.
[1] Dzierzęcki S, Ząbek M, Zaczyński A, et al. Prognostic properties of the association between the S-100B protein levels and the mean cerebral blood flow velocity in patients diagnosed with severe traumatic brain injury[J]. Biomed Rep, 2022, 17(1): 58.
[2] Mudekereza P S, Murhula G B, Kachungunu C, et al. Factors associated with hospital outcomes of patients with penetrating craniocerebral injuries in armed conflict areas of the Democratic Republic of the Congo: a retrospective series[J]. BMC Emerg Med, 2021, 21(1): 109.
[3] Kim J H, Choo Y H, Jeong H, et al. Recent updates on controversies in decompressive craniectomy and cranioplasty: Physiological effect, indication, complication, and management[J]. Korean J Neurotrauma, 2023, 19(2): 128-148.
[4] Korhonen T K, Suo-Palosaari M, Serlo W, et al. Favourable longterm recovery after decompressive craniectomy: the Northern Finland experience with a predominantly adolescent patient cohort[J]. Childs Nerv Syst, 2022, 38(9): 1763-1772.
[5] 陈真 , 张林林 . 脑外伤患者行早期颅骨修补手术的临床疗效及 对患者 NIHSS 与 MMSE 评分的影响 [J]. 贵州医药 , 2022, 46(2): 254-255.
[6] 杰克·阿伯特 .神经病学诊断 : 实用临床入门 [M].曹亦宾 , 译 .天 津 : 天津科技翻译出版有限公司 , 2014.
[7] 巫嘉陵 , 王纪佐 , 王世民 , 等 . 脑卒中患者临床神经功能缺损程 度评分的信度与效度 [J]. 中华神经科杂志 , 2009, 42(2): 75-78.
[8] 燕铁斌 , 伍少玲 , 郭友华 , 等 .Loewenstein 认知评定量表与简易 精神状态检查评定脑损伤患者认知功能的比较 [J]. 中华物理医 学与康复杂志 , 2004, 26(7): 400-403.
[9] 毕胜 , 纪树荣 , 顾越 , 等 . 运动功能状态量表效度研究 [J]. 中国 康复理论与实践 , 2007, 13(2): 114-116.
[10] 翁映虹 , 黄坚红 . 阿尔茨海默病评定量表 - 认知部分中文版与 日常生活能力量表评价血管性痴呆的信度与效度 [J]. 中国老年 学杂志 , 2014, 34(7): 1751-1753.
[11] Moulaei K, Bahaadinbeigy K, Haghdoostd A A, et al. Overview of the role of robots in upper limb disabilities rehabilitation: a scoping review[J]. Arch Public Health, 2023, 81(1): 84.
[12] Dalla Gasperina S, Roveda L, Pedrocchi A, et al.Review on patient-cooperative control strategies for upper-limb rehabilitation exoskeletons[J]. Front Robot AI, 2021, 8: 745018.
[13] Bosomworth H, Rodgers H, Shaw L, et al. Evaluation of the enhanced upper limb therapy programme within the Robot-Assisted Training for the Upper Limb after Stroke trial: descriptive analysis of intervention fidelity, goal selection and goal achievement[J]. Clin Rehabil, 2021, 35(1): 119-134.
[14] WANG Z M, LI Y, AN J C, et al. Effects of restorative environment and presence on anxiety and depression based on interactive virtual reality scenarios[J]. Int J Environ Res Public Health, 2022, 19(13): 7878.
[15] Faria A L, Latorre J, Silva Cameirão M, et al.Ecologically valid virtual reality-based technologies for assessment and rehabilitation of acquired brain injury: a systematic review[J]. Front Psychol, 2023, 14: 1233346.
[16] Andrade Ferreira L D, Ferreira H, Cavaco S, et al. User experience of interactive technologies for people with dementia: comparative observational study[J]. JMIR Serious Games, 2020, 8(3): e17565.
[17] 许凤娟 , 穆景颂 , 黄炎 , 等 . 影响颅脑损伤患者日常生活活动能 力的相关因素分析 [J]. 中国康复 , 2023, 38(5): 300-303.
[18] Calvillo M, Irimia A. Neuroimaging and psychometric assessment of mild cognitive impairment after traumatic brain injury[J]. Front Psychol, 2020, 11: 1423.
[19] Ozga J E, Povroznik J M, Engler-Chiurazzi E B, et al.Executive (dys)function after traumatic brain injury: special considerations for behavioral pharmacology[J]. Behav Pharmacol, 2018, 29(7): 617-637.
[20] 穆景颂 , 倪朝民 , 吴鸣 , 等 . 颅脑损伤患者认知障碍相关因素分 析 [J]. 中华物理医学与康复杂志 , 2020, 42(6): 500-504.