Objective To investigate whether there is an off-hours effect on the endovascular treatment (EVT) process for patients with acute ischemic stroke (AIS) after emergency admission to the hospital. Methods We retrospectively analyzed AIS patients who were admitted to the West China Hospital of Sichuan University on the stroke green channel between September 2019 and August 2023 and planned to perform emergency EVT. The patients were divided into working-hour and off-hour groups according to their admission time. The clinical information, door-to-puncture time (DPT), door-to-head/neck imaging time (DIT) and door-to-blood test time (DBT) of the two groups patients were compared, and subgroup analysis was conducted according to whether they arrived at the hospital at night, before and after the guideline update, and whether they were in the coronavirus disease 2019 epidemic period. Results A total of 586 AIS patients with large vessel occlusion were included, including 220 patients admitted during working hours and 336 patients admitted during off-working hours. There was no statistically significant difference in the basic information and EVT process time between patients admitted during working hours and patients admitted during off-working hours (P>0.05). Subgroup analysis showed that in patients admitted during off-working hours, there was no statistically significant difference in the basic information and EVT process time between patients arrived at the hospital at night and patients did not arrive at the hospital at night (P>0.05). Before and after the guideline updated, there was no statistically significant difference in the basic information and EVT process time between patients admitted during working hours and patients admitted during off-working hours (P>0.05). No matter whether it is in the coronavirus disease 2019 epidemic period, there was no statistically significant difference in the basic information and EVT process time between patients admitted during working hours and patients admitted during off-working hours (P>0.05). Conclusions There is no off-hours effect on the EVT process time after AIS patients arrive at the hospital. In the future, more stroke centers of different levels are needed to further explore the impact of off-hours effect on emergency diagnosis and treatment of AIS patients.
Objective To systematically review the efficacy of six cognitive interventions on cognitive function of patients with mild cognitive impairment after stroke. Methods The PubMed, EMbase, Cochrane Library, SinoMed, WanFang Data and CNKI databases were electronically searched to collect randomized controlled trials on the effects of non-drug interventions on the cognitive function of patients with mild cognitive impairment after stroke from inception to March 2023. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Network meta-analysis was then performed using Openbugs 3.2.3 and Stata 16.0 software. Results A total of 72 studies involving 4 962 patients were included. The results of network meta-analysis showed that the following five cognitive interventions improved the cognitive function of stroke patients with mild cognitive impairment: cognitive control intervention (SMD=?1.28, 95%CI ?1.686 to ?0.90, P<0.05) had the most significant effect on the improvement of cognitive function, followed by computer cognitive training (SMD=?1.02, 95%CI ?1.51 to ?0.53, P<0.05), virtual reality cognitive training (SMD=?1.20, 95%CI ?1.78 to ?0.62, P<0.05), non-invasive neural regulation (SMD=?1.09, 95%CI ?1.58 to ?0.60, P<0.05), and cognitive stimulation (SMD=?0.94, 95%CI ?1.82 to ?0.07, P<0.05). Conclusion Five cognitive interventions are effective in improving cognitive function for stroke patients with mild cognitive impairment, among which cognitive control intervention is the most effective. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
Objective To investigate the assessment and treatment methods for unilateral spatial agnosia as well as its influence on the functional recovery of patients after stroke, so as to comprehensively understand unilateral spatial agnosia and formulate an effective treatment plan to improve the effect of rehabilitation for stroke patients. Methods A total of 86 patients with unilateral spatial agnosia were analyzed and a pre-treatment and post-treatment comparison was done. Results Of the 86 patients, 21% suffered from unilateral spatial agnosia. The occurrence of unilateral spatial agnosia was related to the location of the stroke lesion. The treatment group witnessed significant improvement after rehabilitation training of correcting unilateral spatial agnosia (Plt;0.05). Conclusion The correct rehabilitation method is beneficial for an early improvement in a patient’s cognitive ability. This also lays a foundation for the recovery of function in their limbs.
Due to the high incidence rate, high mortality rate, high disability rate, high recurrence rate and many complications of stroke, patients are easily re-admitted after discharge, which seriously affects their quality of life. A scientific and standardized discharge plan can ensure continuous medical care for stroke patients, reduce readmission rates, and improve patient outcomes, which is of great significance for reducing the burden of stroke. This paper reviewes the development and connotation, the nursing model and the implementation status of the discharge planning among stroke patients at home and abroad, and makes recommendations on the opportunities and challenges of implementing the stroke discharge plan, in order to provide a reference for scientific and standardized stroke disease management.
Transcranial direct current stimulation (tDCS) is an emerging non-invasive brain stimulation technique. However, the rehabilitation effect of tDCS on stroke disease is unclear. In this paper, based on electroencephalogram (EEG) and complex network analysis methods, the effect of tDCS on brain function network of stroke patients during rehabilitation was investigated. The resting state EEG signals of 31 stroke rehabilitation patients were collected and divided into stimulation group (16 cases) and control group (15 cases). The Pearson correlation coefficients were calculated between the channels, brain functional network of two groups were constructed before and after stimulation, and five characteristic parameters were analyzed and compared such as node degree, clustering coefficient, characteristic path length, global efficiency, and small world attribute. The results showed that node degree, clustering coefficient, global efficiency, and small world attributes of brain functional network in the tDCS group were significantly increased, characteristic path length was significantly reduced, and the difference was statistically significant (P < 0.05). It indicates that tDCS can improve the brain function network of stroke patients in rehabilitation period, and may provide theory and experimental basis for the application of tDCS in stroke rehabilitation treatment.