The Impact of Rehabilitation-oriented Virtual Reality Device in Patients With Ischemic Stroke in the Early Subacute Recovery Phase: Study Protocol for a Phase III, Single-Blinded, Randomized, Controlled Clinical Trial

Efficacy of the use of video games on mood, anxiety and depression in stroke patients: preliminary findings of a randomised controlled trial

BACKGROUND

In the different published studies, there is no consensus on the efficacy of virtual reality as an adjuvant treatment of mood states.

AIM

The aim of this study is to evaluate the impact of no immersive virtual reality with the Nintendo Switch device in rehabilitation treatment on mood, anxiety and depression in stroke patients admitted to neurorehabilitation units.

METHODS

Fifty-eight patients admitted to neurorehabilitation units underwent a 1:3 multicentre randomised clinical trial. The intervention group consisted of 17 patients and the control group of 41 patients. The intervention group performed 6 virtual reality sessions together with the conventional treatment, and the control group performed only the conventional rehabilitation sessions. Primary and secondary clinical outcomes were measured before and six weeks after the intervention.

RESULTS

Comparing the intervention group and control group, the anxiety levels of the intervention group decreased compared to the results observed in the control group (p = 0.01), as did the dependence of the intervention group (0.015). On the other hand, the results obtained after the intervention by the control group for anxiety (0.479) and depression (0.292) were not statistically significant.

CONCLUSION

Rehabilitation VR used as an adjuvant treatment to conventional treatment has a beneficial impact on the neurological status and state of anxiety of stroke patients admitted to neurorehabilitation units.

TRIAL REGISTRATION

Registered in the https://clinicaltrials.gov/ repository (NTC NCT05143385). Protocol registration date 7 October 2021, retrospectively registered.

Development and validation of a nomogram model for predicting unfavorable functional outcomes in ischemic stroke patients after acute phase

Introduction

Prediction of post-stroke functional outcome is important for personalized rehabilitation treatment, we aimed to develop an effective nomogram for predicting long-term unfavorable functional outcomes in ischemic stroke patients after acute phase.

Methods

We retrospectively analyzed clinical data, rehabilitation data, and longitudinal follow-up data from ischemic stroke patients who underwent early rehabilitation at multiple centers in China. An unfavorable functional outcome was defined as a modified Rankin Scale (mRS) score of 3-6 at 90 days after onset. Patients were randomly allocated to either a training or test cohort in a ratio of 4:1. Univariate and multivariate logistic regression analyses were used to identify the predictors for the development of a predictive nomogram. The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive ability in both the training and test cohorts.

Results

A total of 856 patients (training cohort: n = 684; test cohort: n = 172) were included in this study. Among them, 518 patients experienced unfavorable outcomes 90 days after ischemic stroke. Trial of ORG 10172 in Acute Stroke Treatment classification (p = 0.024), antihypertensive agents use [odds ratio (OR) = 1.86; p = 0.041], 15-day Barthel Index score (OR = 0.930; p < 0.001) and 15-day mRS score (OR = 13.494; p < 0.001) were selected as predictors for the unfavorable outcome nomogram. The nomogram model showed good predictive performance in both the training (AUC = 0.950) and test cohorts (AUC = 0.942).

Conclusion

The constructed nomogram model could be a practical tool for predicting unfavorable functional outcomes in ischemic stroke patients underwent early rehabilitation after acute phase.

Effects of immersive virtual reality exposure in preparing pediatric oncology patients for radiation therapy

BACKGROUND

Procedural anxiety in children undergoing radiation therapy (RT) is common and is associated with poor procedural compliance and an increased used of general anaesthesia (GA). There is emerging evidence that Virtual Reality (VR) technology may reduce medical procedural distress through realistic and educative exposure to actual procedures via virtual simulation.

OBJECTIVE

To examine the feasibility, acceptability and efficacy of an Immersive VR exposure intervention aimed at reducing anxiety and enhancing preparedness for pediatric patients undergoing radiation therapy, and their parents.

METHOD

A convenience sample of patients (6-18 years) scheduled for RT, and their parent caregivers, were recruited consecutively over a 14-month period. Patients were exposed to a virtual simulation of both CT Simulation (Phase 1) and RT (Phase 2), prior to these procedures occurring. Pre-and-post VR intervention measures (anxiety, health literacy) were administered across multiple time points. GA requirement following VR intervention was also recorded.

RESULTS

Thirty children and adolescents were recruited (88% participation rate). High VR acceptability and satisfaction was reported by patients, parents and radiation therapists. There were minimal adverse effects associated with VR. The VR intervention was found to improve children's understanding of the RT procedures (health literacy) and lower pre-procedural child and parental anxiety. Only one child in the study required GA (3.33%).

CONCLUSIONS

This study provides novel and preliminary support for utilizing VR to prepare children and families for RT. Subsequent implementation of VR into routine paediatric RT has the potential to improve clinical and operational outcomes.

Estimation of spatial-temporal hand motion parameters in rehabilitation using a low-cost noncontact measurement system

Data collection and analysis are commonly used in a rehabilitation process to measure performances of the treatment. There is a lack of studies on the rehabilitation process monitored by a user-friendly interface. A low-cost system is developed in this research to assist users and therapists to measure hand motions and analyse important data of hand joints. The system consists of modules of data capturing, data analysis, and user interface. A Leap Motion sensor is used to capture joint positions of hand motions. Signal processing and wavelet de-noising methods are developed to improve accuracy of the data analysis. The user interface is designed using the Unity software to show graphical information of joint positions and motion parameters. The system has features of noncontact measurements, interactive environment, analysing and recording temporal data of motion parameters of hands. The system is validated by a gold standard motion capturing system. Case studies show effectiveness of the proposed system.