Objective To explore the relationships between social support,positive coping,caregiver burden and family resilience of primary caregivers of first-stroke patients.Methods A questionnaire survey was conducted among 307 primary caregivers of first-stroke patients in 2 tertiary hospitals in Shanghai by convenience sampling method.Social support rating scale,simplified coping style questionnaire,Zarit caregiver burden interview,and family resilience assessment scale were used for questionnaire survey.Pearson correlation analysis and structural equation models were used for data analysis.Results A total of 288 valid questionnaires were collected,and the effective recovery rate was 93.81％.Pearson correlation analysis showed that there was a positive correlation between family resilience and social support,family resilience and positive coping,and social support and positive coping(r=0.375,0.627,and 0.277;all P＜0.01),while caregiver burden and social support,caregiver burden and positive coping,and family resilience and caregiver burden were all negatively correlated(r=-0.203,-0.343,and-0.444;all P＜0.01).The mediating effect model was constructed with positive coping and caregiver burden as mediating variables,social support as independent variables,and family resilience as dependent variables.The results showed that social support could mediate family resilience through positive coping,with a mediating effect of 0.164,accounting for 26.1％of the total effect;social support could also affect the family resilience of the primary caregivers of first-stroke patients through the partial chain mediating effect of positive coping and caregiver burden,with a mediating effect value of 0.032,accounting for 5.1％of the total effect.Conclusion Social support can predict family resilience among primary caregivers of first-stroke patients,and positive coping and caregiver burden play chain mediating roles in the impact of social support on family resilience.

Objective:This study aims to explore the intervention effects of five different intelligent rehabilitation technologies, namely immersive virtual reality (imVR), non-fully immersive virtual reality (Nf-imVR), augmented reality, brain-computer interface (BCI), and rehabilitation robot (RT), on the upper limb function and activities of daily living of stroke patients with upper limb dysfunction.Methods:A computer-based search was conducted in PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure, and Wanfang Databases for randomized controlled trials (RCT) on the intervention effects of different intelligent rehabilitation technologies on stroke patients with upper limb dysfunction. Manual search and other retrieval methods were also supplemented. The retrieval time limit was from the establishment of the databases to May 31, 2024. Data were extracted and the methodological quality was evaluated, and a network Meta-analysis was performed using Stata 17.0 software.Results:A total of 34 articals were included, involving 1 926 patients, and the studies included five intelligent rehabilitation technologies. The control groups all received dose-matched conventional physical training. The results of the network Meta-analysis showed that, compared with the dose-matched conventional physical training, in terms of improving upper limb function, the BCI had the best effect, followed by imVR, RT, Nf-imVR, and augmented reality in sequence; in terms of improving activities of daily living, the BCI still had the best effect, followed by imVR, RT, augmented reality, and Nf-imVR in sequence. The clustering ranking of upper limb function and activities of daily living was BCI >imVR > RT > Nf-imVR > augmented reality in turn.Conclusions:Intelligent rehabilitation technologies have advantages in improving the upper limb function and activities of daily living of stroke patients with upper limb dysfunction, and the BCI has obvious advantages.

Objective:This study aims to explore the intervention effects of five different intelligent rehabilitation technologies, namely immersive virtual reality (imVR), non-fully immersive virtual reality (Nf-imVR), augmented reality, brain-computer interface (BCI), and rehabilitation robot (RT), on the upper limb function and activities of daily living of stroke patients with upper limb dysfunction.Methods:A computer-based search was conducted in PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure, and Wanfang Databases for randomized controlled trials (RCT) on the intervention effects of different intelligent rehabilitation technologies on stroke patients with upper limb dysfunction. Manual search and other retrieval methods were also supplemented. The retrieval time limit was from the establishment of the databases to May 31, 2024. Data were extracted and the methodological quality was evaluated, and a network Meta-analysis was performed using Stata 17.0 software.Results:A total of 34 articals were included, involving 1 926 patients, and the studies included five intelligent rehabilitation technologies. The control groups all received dose-matched conventional physical training. The results of the network Meta-analysis showed that, compared with the dose-matched conventional physical training, in terms of improving upper limb function, the BCI had the best effect, followed by imVR, RT, Nf-imVR, and augmented reality in sequence; in terms of improving activities of daily living, the BCI still had the best effect, followed by imVR, RT, augmented reality, and Nf-imVR in sequence. The clustering ranking of upper limb function and activities of daily living was BCI >imVR > RT > Nf-imVR > augmented reality in turn.Conclusions:Intelligent rehabilitation technologies have advantages in improving the upper limb function and activities of daily living of stroke patients with upper limb dysfunction, and the BCI has obvious advantages.

Objective:To investigate the occurrence of deglutition disorders after extubation in neurosurgery patients, to explore the recovery time and influencing factors, and to provide reference for the development of nursing intervention plan for dysphagia after extubation.Methods:This was a prospective study. A total of 250 patients who underwent oral catheterization under general anesthesia in neurosurgery department and were admitted to the Tenth People′s Hospital of Tongji University from June to December 2022 were selected as the study objects by convenience sampling method. The general demographic and clinical data of the patients were collected to evaluate the occurrence of deglutition disorders after extubation. The outcome and recovery time of deglutition disorders were used as dependent variables. Kaplan-Meier method and Cox proportional hazard regression analysis were used to analyze the recovery time and influencing factors of deglutition disorders after extubation in neurosurgery patients.Results:The incidence of deglutition disorders after extubation was 35.6%(89/250) among 250 cases of neurosurgery patients under general anesthesia by endotracheal intubation, the recovery time of Deglutition Disorders after postoperative extubation was 1 - 16 (5.17 ± 0.43)days. ICU stay days, duration of endotracheal intubation and the first standardized swallowing assessment after extubation were the main influencing factors for the recovery of deglutition disorders in patients with dysphagia after extubation.Conclusions:For patients with deglutition disorders after extubation after neurosurgery, ICU stay days, duration of endotracheal intubation and the first standardized swallowing assessment after extubation affect the process of swallowing function recovery. Medical staff should focus on the risk groups and develop targeted nursing interventions to improve the outcome of patients.