ObjectiveTo explore the association of elongase of very long chain fatty acids family member 6 (ELOVL6) gene with increased risk of large-artery atherosclerosis stroke (LAA) in Han Chinese population in Chengdu.MethodsHan Chinese populations in Chengdu, Sichuan were chosen for this study using the case-control design between January 2015 and December 2017. The genotypes and haplotypes of six single nucleotides polymorphisms (SNPs) of ELOVL6 gene (rs3813825, rs17041272, rs4141123, rs9997926, rs6824447, and rs12504538) were analyzed in different genetic models in entire samples, and gene-enviromental interaction analyses were also carried out to get an insight of the risk factors for LAA. At the same time, we also analyzed the gene expression profile in peripheral blood mononuclear cells between groups.ResultsA total of 240 LAA cases and 211 healthy controls were enrolled in this study. All the enrolled subjects presented CC genotype of rs9997926, while the other five SNPs (rs3813825, rs17041272, rs4141123, rs6824447, and rs12504538) were genotyped successfully in all the enrolled subjects. rs17041272 polymorphism and TGTTG haplotype were significantly associated with LAA risk in studied population [CC/(CG+GG): odds ratio (OR)=0.640, 95% confidence interval (CI) (0.423, 0.968), P=0.034; TGTTG: OR=1.776, 95%CI (1.069, 2.951), P=0.024], and the interaction among rs17041272, rs6824447 SNPs and dyslipidemia increased susceptibility to LAA [OR=2.737, 95%CI (1.715, 4.368), P<0.001]. The ELOVL6 gene expression level was higher in LAA subjects (t=?3.167, P=0.003).ConclusionsELOVL6 gene is associated with LAA risk in Han nationality of Chinese population in Chengdu, and the interaction of gene-environmental risk factors could be of great importance in pathophysiology of LAA.
ObjectiveTo systematically review the efficacy of antidepressants in the prevention of poststroke depression (PSD). MethodsWe searched The Cochrane Library (Issue 2, 2015), PubMed, MEDLINE, EMbase, CNKI and VIP databases to collect randomized controlled trials (RCTs) about antidepressants in preventing PSD from inception to April 2015. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, meta-analysis was performed using RevMan 5.3 software. ResultsA total of 26 RCTs involving 2 190 patients were included. The results of meta-analysis showed that:compared with the control group, the antidepressants group could significantly reduce the incidence of PSD (OR=0.24, 95%CI 0.17 to 0.36, P<0.000 01). Subgroup analysis based on types of drugs showed that:the selective serotonin reuptake Inhibitor (SSRI) could significantly reduce the incidence of PSD (OR=0.23, 95%CI 0.15 to 0.37, P<0.000 01). Subgroup analysis based on length of time showed that antidepressants could decrease the incidence of PSD in short term (OR=0.11, 95%CI 0.06 to 0.19, P<0.000 01), middle term (OR=0.31, 95%CI 0.21 to 0.46, P<0.000 01) and long term (OR=0.30, 95%CI 0.19 to 0.49, P<0.000 01). In addition, there was no statistical difference in the incidence of adverse effect between the antidepressants group and the control group (P>0.05). ConclusionAntidepressants is effective in the prevention of PSD, and may not affect patient's life quality. Due to the limited quantity and quality of included studies, more high quality studies are needed to verify the above conclusion.
Objective To discuss the feasibility of treating the brain ischemic stroke by the co-transplantation of the neural stem cells(NSCs) and the endothelial progenitor cells(EPCs). Methods The original biomedical articles concerned with the treatment of the brain ischemic therapy by the use of the NSCs and the EPCs were extensively reviewed as well as retrieved and analyzed. Results The review revealed that the NSCs and the EPCs could migrate to the injured area due to brain ischemic stroke, the environment of the local microcirculation could induce the neurogenesis and the vasculogenesis to repair the injury, and the neurogenesis and vasculogenesis could promote each other. Conclusion The co-transplantation of the NSCs and the EPCscan represent a new promising strategy formore effectively solving the two difficult problems of the neural cell loss andthe vascular obstruction caused by the brain ischemic stroke.
Objective To evaluate the predictive effect of three machine learning methods, namely support vector machine (SVM), K-nearest neighbor (KNN) and decision tree, on the daily number of new patients with ischemic stroke in Chengdu. Methods The numbers of daily new ischemic stroke patients from January 1st, 2019 to March 28th, 2021 were extracted from the Third People’s Hospital of Chengdu. The weather and meteorological data and air quality data of Chengdu came from China Weather Network in the same period. Correlation analyses, multinominal logistic regression, and principal component analysis were used to explore the influencing factors for the level of daily number of new ischemic stroke patients in this hospital. Then, using R 4.1.2 software, the data were randomly divided in a ratio of 7∶3 (70% into train set and 30% into validation set), and were respectively used to train and certify the three machine learning methods, SVM, KNN and decision tree, and logistic regression model was used as the benchmark model. F1 score, the area under the receiver operating characteristic curve (AUC) and accuracy of each model were calculated. The data dividing, training and validation were repeated for three times, and the average F1 scores, AUCs and accuracies of the three times were used to compare the prediction effects of the four models. Results According to the accuracies from high to low, the prediction effects of the four models were ranked as SVM (88.9%), logistic regression model (87.5%), decision tree (85.9%), and KNN (85.1%); according to the F1 scores, the models were ranked as SVM (66.9%), KNN (62.7%), decision tree (59.1%), and logistic regression model (57.7%); according to the AUCs, the order from high to low was SVM (88.5%), logistic regression model (87.7%), KNN (84.7%), and decision tree (71.5%). Conclusion The prediction result of SVM is better than the traditional logistic regression model and the other two machine learning models.
As a risk factor for vascular diseases and inflammatory diseases, fibrinogen has received more and more attention. Hyperfibrinogenemia is associated with the occurrence, development, and poor outcome of artery-venous ischemic stroke (acute ischemic stroke, transient ischemic attack and cerebral venous thrombosis). Therefore, fibrinogen may be a potential therapeutic target for the prevention and management of artery-venous ischemic stroke. However, there has been controversy regarding the defibrinogen therapy in artery-venous ischemic stroke. Therefore, this paper introduces the efficacy and safety of defibrinogen therapy alone, combined with antiplatelet or combined with anticoagulant in prevention and management of artery-venous ischemic stroke in detail, in order to re-understand the role of defibrinogen therapy in the prevention and management of artery-venous ischemic stroke.
Objective To investigate the association of serum albumin and relevant composite indicators with malignant brain edema after acute ischemic stroke. Methods We screened patients with acute ischemic stroke admitted to the Department of Neurology, West China Hospital of Sichuan University between January and December 2022. The case group consisted of patients who developed malignant brain edema within 7 days of admission, while the control group consisted of patients who did not develop malignant brain edema within 7 days of admission. Multivariate logistic regression analysis was used to explore the association of serum albumin and relevant composite indicators with malignant brain edema after acute ischemic stroke. Results Finally, 428 patients were included, aged 70.00 (58.00, 82.00) years, with females accounting for 40.9% (n=175). The time from onset to admission was 10.00 (4.00, 24.00) hours. Forty-three patients (10.0%) developed malignant brain edema and were classified as the case group, and their onset time of malignant brain edema was 34.00 (22.50, 56.50) hours after the onset of the disease. Multivariate logistic regression analysis showed that the increase in the score of the baseline National Institutes of Health Stroke Scale scores [odds ratio (OR)=1.167], the combination of diabetes (OR=5.525), the treatment of thrombectomy (OR=23.875), and the neutrophil percentage-to-albumin ratio higher than the median (OR=3.806) were associated with the increased risk of malignant brain edema (P<0.05), and the successful reperfusion after thrombectomy (OR=0.120) was associated with the reduced risk of malignant brain edema (P<0.05). Conclusion A higher percentage of serum neutrophil percentage-to-albumin ratio within 24 hours of onset in patients with acute ischemic stroke is associated with an increased risk of malignant brain edema within 7 days of admission.
Objective To systematically assess the clinical efficacy and safety of cilostazol for preventing ischemic stroke recurrence. Methods Such databases as PubMed, The Cochrane Library, EMbase, CNKI, CBM, and VIP were searched for randomized controlled trials (RCTs) on the use of cilostazol to prevent ischemic stroke recurrence (up to November, 2010). Two researchers selected studies and extracted data independently using a designed extraction form. The quality of included trials was evaluated and RevMan 5.0 software was used for meta-analyses. Results Four RCTs involving 3 916 patients were included. The results of meta-analyses showed that there were significant differences between cilostazol and aspirin in terms of hemorrhagic stroke occurrence (RR=0.39, 95%CI 0.24 to 0.61, Plt;0.000 1), headache occurrence (RR=1.99, 95%CI 1.16 to 3.43, P=0.01) and dizziness occurrence (RR=1.43, 95%CI 1.13 to 1.79, P=0.002). Whereas, no significant difference was found between the two groups in terms of ischemic stroke recurrence (RR=0.80, 95%CI 0.61 to 1.04, P=0.10) and transient ischemic attack occurrence (RR=0.93, 95%CI 0.45 to 1.92, P=0.85). Conclusion The current evidence indicates that cilostazol is as effective as aspirin in preventing ischemic stroke recurrence, but with less incidence of hemorrhagic stroke.
Severe/massive ischaemic stroke is difficult to treat and has poor prognosis. There are limited studies for specific treatment of these conditions and no consensus on their definitions. This proposal suggests definitions and a flowchart for the diagnosis and treatment of these conditions. We focus on predicting and preventing malignant oedema at an early stage, monitoring the level of consciousness and vital signs, and the prevention and management of complications (eg. pulmonary infections). We particularly provide suggestions for the treatment with intravenous thrombolysis, endovascular treatment, antiplatelet and anticoagulation. More studies are warranted to support individualised management of infarct swelling, intracranial hypertension and early rehabilitation for severe/massive ischaemic stroke.
Objective To evaluate the risk factors for cognitive impairment and their interactions in acute ischemic stroke (IS) patients. Methods IS patients admitted to the Department of Neurology, the People’s Hospital of Mianyang between January 2019 and January 2022 were selected. Patients were divided into a cognitive impairment group and a cognitive normal group. The demographic characteristics and clinical data of the subjects were collected, and the traditional risk factors for cognitive impairment were determined by univariate and multivariate logistic regression analysis. The multifactor dimensionality reduction test was used to detect the possible interactions between risk factors. Results A total of 255 patients were included. Among them, 88 cases (34.5%) in the cognitive impairment group and 167 cases (65.5%) in the cognitive normal group. The results of factor logistic regression analysis showed that after adjusting for covariates, big and medium infarction volume, severe IS, moderate to severe carotid artery stenosis as well as high hypersensitive C-reactive protein (hs-CRP) were associated with post-IS cognitive impairment (P<0.05). The cognitive impairment increased by 22.632 times [odds ratio=22.632, 95% confidence interval (5.980, 85.652), P<0.001] in patients with big and medium infarction volume, severe IS and high hs-CRP. Conclusions The cognitive impairment is common in acute IS. Patients with big and medium infarction volume, non-mild stroke, carotid artery stenosis, high hs-CRP, and non-right sided infarction are prone to cognitive impairment, and there are complex interactions among these risk factors.
Early endovascular interventional therapy can effectively improve the prognosis of patients with acute ischemic stroke. Dual-source CT dual-energy scanning, as a new CT imaging technology developed rapidly in recent years, with its unique technical characteristics and advantages, shows potential and application prospects in early endovascular interventional therapy of acute ischemic stroke. This article discusses the value of dual-source CT dual-energy scanning in the early screening and evaluation, the identification of postoperative iodine contrast agent extravasation and secondary cerebral hemorrhage, and the prediction of prognosis of patients with early endovascular interventional treatment of acute ischemic stroke. The purpose is to provide a theoretical basis for better application of dual-source CT dual-energy scanning in early endovascular interventional treatment of acute ischemic stroke.