Stroke is a common and frequently-occurring disease, which seriously endangers human health. Rehabilitation treatment can effectively reduce the disability rate of stroke and improve the quality of life. The tertiary rehabilitation treatment system for stroke can effectively improve the motor function of stroke patients and improve the quality of life. This paper focuses on the choices and methods of physical therapy and occupational therapy at all levels of the hospitals and in different periods of the disease. It also aims to summarize the tertiary rehabilitation strategy for motor dysfunction in stroke patients, to provide references for all levels of hospitals and communities, achieve standardization and unification of rehabilitation treatment, as well as the rehabilitation efficacy of homogeneity.
Magnetic resonance imaging (MRI) plays a crucial role in the diagnosis of ischemic stroke. Accurate segmentation of the infarct is of great significance for selecting intervention treatment methods and evaluating the prognosis of patients. To address the issue of poor segmentation accuracy of existing methods for multiscale stroke lesions, a novel encoder-decoder architecture network based on depthwise separable convolution is proposed. Firstly, this network replaces the convolutional layer modules of the U-Net with redesigned depthwise separable convolution modules. Secondly, an modified Atrous spatial pyramid pooling (MASPP) is introduced to enlarge the receptive field and enhance the extraction of multiscale features. Thirdly, an attention gate (AG) structure is incorporated at the skip connections of the network to further enhance the segmentation accuracy of multiscale targets. Finally, Experimental evaluations are conducted using the ischemic stroke lesion segmentation 2022 challenge (ISLES2022) dataset. The proposed algorithm in this paper achieves Dice similarity coefficient (DSC), Hausdorff distance (HD), sensitivity (SEN), and precision (PRE) scores of 0.816 5, 3.668 1, 0.889 2, and 0.894 6, respectively, outperforming other mainstream segmentation algorithms. The experimental results demonstrate that the method in this paper effectively improves the segmentation of infarct lesions, and is expected to provide a reliable support for clinical diagnosis and treatment.
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 risk factors of stroke associated pneumonia in stroke patients.Methods A case-control study was conducted. 114 patients who were diagnosed stroke associated pneumonia between January 2008 and December 2010 were recruited as a patient group. 205 patients who were diagnosed stroke without pneumoniawere recruited as a control group. General conditions, accompanied disease, vital sign, hematologic marker, severity of stroke, and bulbar paralysis were compared between two groups. Multifactor Logistic regression was used to screen associated factors.Results Age gt; 65 years ( OR=3. 310, 95% CI 2. 016-7. 549) , accompanied with COPD ( OR = 3. 624, 95% CI 1. 574-9. 236) , diabetes ( OR= 3. 781, 95% CI 1. 305-6. 842) , failed water swallowing test ( OR = 3. 625, 95% CI 1. 604- 8. 386) , big volume of stroke ( OR=14. 784, 95% CI 3. 737-38. 588) , NIH stroke scale ( NIHSS) score gt;6 ( OR=2. 913, 95% CI 1. 029-7. 985) , abbreviated mental test ( AMT) score lt; 8 ( OR = 4. 229, 95% CI 2. 215-9. 368) were associated with stroke associated pneumonia. Conclusion The risk factors for stroke associated pneumonia in stroke patients were age gt;65 years, accompanied with COPD, diabetes, failed WST, big volume of stroke, NIHSS score gt;6, and AMT score lt;8.
Objective To provide references to control the cost of stroke inpatients by analysing pertinent factors of stroke inpatients. Methods According to the models of Anderson and Newnan, univariable analysis and multivariable statistical analysis were applied to a number of factors including predisposing factors, enabling factors, and needs factors in 1 969 stroke inpatients of two third level first-class hospitals in Chongqing. Results Among the 1 969 stroke inpatients, 64% had a history of hypertension, and 50% exhibited hypertension during their stay in hospital. Expenditure on medication consumed the highest costs (51%). Length of stay was the most important factor affecting inpatient expense, additional factors were number of surgical operation, nurse type, Rankin score, number of complications etc. Conclusions Complex measures focusing on hypertension to prevent and control of stroke are recommended. Reducing unnecessary stay in hospital and appropriate prescribing are important methods to reduce cost of stroke inpatients.
ObjectivesTo systematically review the efficacy of home-based telerehabilitation (HTR) for stroke survivors.MethodsPubMed, EMbase, Web of Science, Joanna Briggs Institute Library, The Cochrane Library, CNKI, VIP and WanFang Data databases were electronically searched to collect randomized controlled trials (RCTs) on HTR for stroke survivors from inception to January 1st, 2019. Two reviewers independently screened literature, extracted data, and assessed risk of bias of included studies. Then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 11 RCTs involving 793 patients were included. The results of meta-analysis showed that: after 1 to 2 years of treatment, BI scores (MD=20.22, 95%CI 17.10 to 23.35, P<0.000 01) in HTR group were higher than those in the traditional rehabilitation group. However, there were no statistical differences between two groups in ARAT scores (SMD=0.16, 95%CI −0.14 to 0.45, P=0.30) after 1 to 2 months of treatment, as well as MBI scores (SMD=0.98, 95%CI −0.33 to 2.29, P=0.14) and FMA scores (SMD=0.57, 95%CI −0.08 to 1.23, P=0.09) after 3 months of treatment, and CSI scores (MD=−1.48, 95%CI −3.90 to 0.94, P=0.23) and BBS scores (MD=1.33, 95%CI −1.15 to 3.81, P=0.29) after 6 months of treatment. The results of descriptive analysis indicated that there was no statistically significant difference in quality of life between the two groups at 6 months after intervention. However, the HTR group was superior to the traditional rehabilitation group after 2 years of treatment.ConclusionsCurrent evidence shows that, compared with traditional rehabilitation, long-term intervention (1-2 years) with HTR can improve the ability to perform activities of daily living and quality of life of stroke survivors. Due to limited quality and quantity of the included studies, more high quality studies are required to verify above conclusion.
Objective To assess the effectiveness of psychological intervention on post-stoke depression. Methods Such databases as the JBI Database of Systematic Review (1980 to June, 2010), The Cochrane Library (1980 to June, 2010), PubMed (1966 to 2010), CINAHL(1982 to May, 2000), CBM (1978 to 2010), and CNKI (1979 to 2010) were searched to collect randomized controlled trials (RCTs). In accordance with the predefined inclusion and exclusion criteria, the quality of included studies was evaluated, and then meta-analyses were performed by using RevMan 5.0 software. Results A total of 33 RCTs were included. The results of meta-analyses showed: (1) Compared with the control group, the short-term effect of psychological intervention was more effective in decreasing depression score. The subgroup analysis showed that the intervention effects at the time of four weeks, six weeks, eight weeks, and 12 weeks were better than those of the control group. (2) The long-term effect of psychological intervention was more effective in decreasing depression score. The subgroup analyses showed that the intervention effects at the interval of eight weeks, 24 weeks, and 48 weeks were better than those of the control group. (3) The combined or single application of either cognitive-behavioral psychotherapy or supportive psychotherapy was more effective in decreasing depression score than the control group. However, there was no significant difference between the general psychological treatment group and the control group. (4) The subgroup analyses showed that the different qualities of the included studies were more effective than those of the control group. Conclusion Various psychological intervention is effective in decreasing the patient’s depression score, and cognitive-behavioral therapy and supportive psychotherapy, especially, can significantly improve the depression state and promote recovery.
ObjectiveTo systematically evaluate the effect of repetitive transcranial magnetic stimulation (rTMS) on post-stroke depression (PSD).MethodsWe searched databases including the PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Internet, Wanfang, China Biology Medicine database and VIP database to collect randomized controlled trials comparing the effect of the rTMS group and the control group with the scores of depression scale from January 2013 to April 2018. Patients in the rTMS group received rTMS plus drug therapy or conventional treatment for PSD, and patients in the control group received rTMS sham stimulation or not, but the drug treatment or routine treatment was required. When the quality evaluation and data extraction were carried out by two reviewers independently, the Meta-analysis was performed using RevMan 5.3 software and Stata 14.0 software.ResultsA total of 18 literatures involving 1 376 patients (687 patients in the rTMS group and 689 patients in the control group) with PSD were included in this Meta-analysis. Compared with the control group, the rTMS group could effectively reduce the depression scores of PSD patients [standard mean difference (SMD)=–1.13, 95% confidence interval (CI) (–1.42, –0.84), P<0.000 01], and the effective rate of rTMS was 91.7%; meanwhile, rTMS could promote the scores of the National Institute of Health Stroke Scale and the activities of daily living of patients with PSD [SMD=–1.00, 95%CI (–1.25, –0.75), P<0.000 01;SMD=1.56, 95%CI (0.80, 2.32), P<0.000 01]. The source of heterogeneity was not found according to subgroup analysis and Meta-regression analysis. Additionally, few studies reported adverse reactions after the treatment of rTMS.ConclusionsrTMS has a positive effect on depression, neurological deficits, and decreased ability of daily living in patients with PSD. Due to the quality of the included studies, the conclusions need to be verified further.
ObjectiveTo explore the risk factors of stroke-associated pneumonia in stroke inpatients at rehabilitation stage.MethodsA retrospective survey was conducted to collect the general clinical data of 271 patients with stroke who were hospitalized for the first time between January 2017 and December 2018. They were divided into two groups according to the presence or absence of pneumonia. The general clinical data of the two groups were observed and analyzed, including sex, age, length of stay, course of disease, Brunnstrom Stage, Barthel Index, scores of Kubota’s Water Drinking Test, indwelling gastric tube, cognitive impairment, aphasia, hypertension history, diabetes history, history of smoking and drinking, albumin content, and hemoglobin content. Statistically significant factors were screened out from single factor analysis, and then multivariate logistic regression analysis was conducted.ResultsThere were significant differences in age, length of stay, Barthel Index, Brunnstrom Stage (upper limb, hand and lower limb), scores of Kubota’s Water Drinking Test, indwelling gastric tube, albumin content, hemoglobin content, cognitive impairment, and aphasia between the two groups (P<0.05). Multivariate logistic regression analysis showed that indwelling gastric tube [odds ratio=52.463, 95% confidence interval (4.154, 662.658), P=0.002] was an independent risk factor for pneumonia.ConclusionsIndwelling gastric tube is an independent risk factor for pneumonia. In view of the risk factor, taking active and effective preventive measures can help prevent pneumonia.