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.
Objective To investigate the relationship between Oxfordshire community stroke project (OCSP) classification and MRI classification in acute cerebral infarction. Methods A total of 282 patients with acute cerebral infarction were retrospectively evaluated with OCSP classification and imaging characteristics. Results According to OCSP classification, of all 282 patients with acute cerebral infarction, 32 (11.3%) experienced total anterior circulation infarction (TACI), 86 (30.5%) partial anterior circulation infarction (PACI), 111 (39.4%) lacunar infarction (LACI), and 53 (18.8%) posterior circulation infarction (POCI). The consistency was found in 201 cases (71.3%) between the OCSP classification and imaging classification, with the accuracy of 77% (27/35) for TACI, 79% (42/53) for PACI, 69% (95/137) for LACI and 65% (37/57) for POCI. Conclusion OCSP classification can predict the location and size of cerebral infarction with a high accuracy, and is well consistent with the MRI findings.
ObjectiveTo observe the morphological characteristics of retinal vessels in patients with ischemic stroke, and to preliminary analyze the correlation between retinal vascular morphological parameters and ischemic stroke. MethodsA retrospective study. From May 2015 to May 2017, 73 patients with ischemic stroke (ischemic stroke group) confirmed by examination at the Beijing Friendship Hospital, Capital Medical University were included in this study. In addition, 146 patients were included in the control group. A total of 146 patients with acute stroke who were excluded by head CT and/or magnetic resonance imaging were selected as the control group. Fundus images of patients were collected by nonmydriatic fundus camera. Retinal vascular parameters were measured by artificial intelligence fundus image analysis system, included retinal artery and vein caliber as well as vascular curvature, branching angle, fractal dimension, and density. The morphological characteristics of retinal vessels were compared between the control and ischemic stroke groups, and correlation between the retinal vascular parameters and ischemic stroke was analyzed using binary logistic regression. ResultsCompared with the control group, the ischemic stroke group had thinner retinal artery caliber, smaller retinal vascular fractal dimension, and lower retinal vascular density; moreover, these differences were statistically significant (t=3.232, 3.502, 3.280; P＜0.05). Vascular fractal dimension [odds ratio (OR)=0.291, 95% confidence interval (CI) 0.160-0.528] and retinal artery caliber (OR=0.924, 95%CI 0.870-0.981) were strongly correlated with ischemic stroke (P＜0.01). ConclusionCompared with the control group, the retinal artery caliber, fractal dimension and retinal vascular density in ischemic stroke group are smaller; decreased retinal artery caliber and fractal dimension are correlated with ischemic stroke.
Objectives
To investigate the relationship between SG13S114 and SG13S32 polymorphisms in ALOX5AP gene and risk of ischemic stroke in Chinese population.
Methods
We searched Web of Science, EMbase, PubMed, CNKI, CBM and WanFang Data databases to collect case-control studies on SG13S114 and SG13S32 polymorphisms of ALOX5AP gene and risk of ischemic stroke in Chinese from inception to February 2017. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies. Meta-analysis was then performed by Stata 12.0 software.
Results
A total of 20 studies were included. The results of meta-analysis showed that SG13S114 polymorphism in ALOX5AP gene was associated with risk of ischemic stroke in Chinese (A vs. T: OR=1.12, 95%CI 1.00 to 1.27, P=0.05; TA+AA vs. TT: OR=1.14, 95%CI 1.01 to 1.28, P=0.04; AA vs. TT: OR=1.33, 95%CI 1.07 to 1.65, P=0.012). However, no significant association between SG13S32 polymorphism and ischemic stroke in Chinese was found.
Conclusions
SG13S114 polymorphisms in ALOX5AP gene is associated with risk of ischemic stroke in Chinese, in which the A allele of ALOX5AP may be a risk factor.
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.
ObjectivesTo investigate risk factors for unplanned readmission in ischemic stroke patients within 31 days by using random forest algorithm.MethodsThe record of readmission patients with ischemic stroke within 31 days from 24 hospitals in Beijing between between 2015 and 2016 were collected. Patients were divided into two groups according to the occurrence of readmission within 31 days or not. Chi-squared or Mann-Whitney U test was used to select variables into the random forest algorithm. The precision coefficient and the Gini coefficient were used to comprehensively assess the importance of all variables, and select the more important variables and use the margind effect to assess relative risk of different levels.ResultsA total of 3 473 patients were included, among them 960 (27.64%) were readmitted within 31 days after stroke hospitalization. Based on the result of random forest, the most important variables affecting the risk of unplanned readmission within 31 days included the length of hospital stay, age, medical expense payment, rank of hospital, and occupation. When hospitalization was within 1 month, 10-day-hospitalization-stay patients had the lowest risk of rehospitalization; the younger the patients was, the higher the risk of readmission was. For ranks of hospital, patients from tertiary hospital had higher risk than secondary hospital. Furthermore, patients whose medical expenses were paid by free medical service and whose occupations were managers or staffs had higher risk of readmission within 31 days.ConclusionsThe unplanned readmission risk within 31 days of discharged ischemic stroke patients was connected not only with disease, but also with personal social and economic factors. Thus, more attention should be paid to both the medical process and the personal and family factors of stroke patients.
Objective To investigate the risk factors and the prevention and cure methods of ischemic stroke during low intensity anticoagulation therapy after mechanical heart valve replacement. Methods From March 2004 to July 2008，twentythree patients with ischemic stroke after mechanical heart valve replacement had been researched(ischemic stroke group). One hundred and twenty patients who had undergone mechanical heart valve replacement were randomly chosen in the same period as control group. Gender, age, the dose of warfarin , anticoagulation intensity(INR), INR review interval, left atrial diameter and heart rhythm were compared between the two groups, and the risk factors of ischemic stroke were analyzed by logistic regression analysis. Results (1) Patients in ischemic stroke group all discharged from hospital after treatment, and they were followed up for 1 month-3 years after discharged. All the patients’ neurological complications improved obviously, and no recurrent embolism and severe hemorrhage was found. (2) There was no statistical significance between two groups in gender, age and the dose of warfarin（Pgt;0.05）. (3) Nonconditional logistic regression analysis on influence factors showed that atrial fibrillation（P=0.000）, left atrial enlargement（P=0.002）, low anticoagulation intensity（P=0.012） and longtime INR review interval（P=0.047）were the risk factors of ischemic stroke during low intensity anticoagulation therapy after mechanical heart valve replacement. Conclusions (1)The prognosis of ischemic stroke during low intensity anticoagulation therapy after mechanical heart valve replacement is better than that of intracranial hemorrhage, and the occurrence of ischemic stroke is related to many risk factors. (2)The influences of risk factors should be minimized in order to avoid ischemic stroke. (3) Early low intensity anticoagulation therapy is safe and effective for patients with ischemic stroke after heart valve replacement.
Ischemic stroke (IS) is one of the important diseases threatening human health. The occurrence and development of IS can trigger a series of complex pathophysiological changes, including damage to the blood-brain barrier, ion imbalance, oxidative stress, mitochondrial damage, which ultimately lead to the apoptosis and necrosis of nerve cells in the ischemic area. Impaired blood-brain barrier is a key factor for cerebral edema, hemorrhagic transformation and poor prognosis in patients with IS, and neuroinflammatory response plays an important role in the damage and repair of the blood-brain barrier. This article mainly focuses on the neuroinflammatory response mediated by glial cells, pro-inflammatory cytokines and matrix metalloproteinases and the related mechanisms of IS blood-brain barrier damage and repair, in order to provide new directions for the treatment of IS.
Objective
To explore the awareness of thrombolytic therapy for acute ischemic stroke in inpatients with a history of stroke and with a high risk of stroke.
Methods
From January to August 2012, using self-designed questionnaire, trained neurologists conducted the face to face investigation in 500 inpatients with a high risk of stroke, including those with a history of stroke in Department of Neurology in the Second Affiliated Hospital of Chongqing Medical University.
Results
A total of 467 valid questionnaires were recovered. Only 16.1% (75/467) patients were aware of thrombolytic therapy for acute stroke, of whom 50.7% (38/75) knew the time window of thrombolytic therapy. Awareness of thrombolytic therapy was higher in patients aged 56-70 years, with a higher level of education and income, and in those who knew at least 3 stroke warning signs and those with a history of stroke. While awareness of the time window of thrombolytic therapy was higher in those unmarried or widowed and with a history of stroke. Multiple logistic regression analysis showed that awareness of thrombolytic therapy was independently associated with age, education level, knowledge of stroke warning signs and a history of stroke; awareness of the time window was associated with marital status and a history of stroke (P<0.05).
Conclusions
Inpatients with a history of stroke and with a high risk of stroke in the Department of Neurology have poor awareness of thrombolytic therapy for acute ischemic stroke. It is necessary to improve the level of patients’ knowledge about thrombolytic therapy for acute stroke by health education.
Krüppel-like factor 4 (KLF4) is a member of the sample Kruppel transcription factor protein family, is an evolutionary conservative contain zinc finger transcription factors, involved in regulating many cellular processes, such as cell growth, proliferation, differentiation and invasion, KLF4 expression in a variety of tissues and cells in the body, has widely in many physiological and pathological conditions. Many studies have shown that KLF4 is involved in neurobiological processes such as neuroinflammation, oxidative stress, apoptosis and axon regeneration, and is closely related to a variety of nervous system diseases such as epilepsy, stroke, and Alzheimer’s disease. Now KLF4 in its role in the development of nervous system diseases were reviewed, help to understand the pathogenesis of the disease and clinical treatment for diseases of the nervous system to provide potential targets.
