Objective To assess the clinical application of lysophosphatidic acid (LPA) as the early warning index for cerebral ischemic stroke (CIS). Methods Trials were collected through electronic searches of PubMed, The Cochrane Library, CBM, CNKI, Wanfang, and VIP (from the date of database establishment to June 2009). We screened the retrieved studies according to the predefined inclusion and exclusion criteria, evaluated the quality of the included studies, performed descriptive analysis and meta-analysis with The Cochrane Collaboration’s RevMan 4.2 software. Results A total of 22 studies were included. The results of meta-analyses showed that, there was a significant difference about LPA level in cerebral infarction (CI) group vs. healthy control group (WMD=2.00, 95%CI 1.85 to 2.15), and in transient ischemia attach (TIA) group vs. healthy control group (WMD=2.48, 95%CI 2.18 to 2.78); and a difference was noted about 24 hours LPA level in CI group vs. healthy control group (WMD=2.40, 95%CI 1.81 to 2.99). Conclusions According to the included studies, the contents of LPA is higher in CIS than that in healthy control group. It would be helpful to measure LPA in the TIA period for intervention. However, more high quality trials are expected for further study, in order to prove the value of LPA as early warning index because of the heterogeneity and poor quality of the current included studies.
Objective To explore the risk factors of carotid artery atherosclerotic plaque in ischemic stroke patients. Methods One hundred and forty-eight patients with ischemic stoke were allocated into two groups by ultrasonographic testing (80 with plaque and 68 without plaque). The carotid artery acoustic densitometry (IMT), blood pressure, blood glucose , blood lipid, fibriongen (FIB), c-reactive protein (CRP) were tested. First, single variable analysis was conducted and then multivariate non-condition stepwise logistic model analysis was conducted. Results Carotid IMT, age , total cholesterol (TC), low density lipoprotein (LDL)-CH, FIB, CRP level and the incidence of hypertension and diabetes were significantly higher in ischemic stroke patients with carotid artery plaques than patients without plaques (P≤0.05); Multiple logistic regression analysis showed the most important risk factors of plaques were CRP (OR=3.546, P=0.035) and FIB (OR=1.074, P=0.012) level. Conclusion The main risk factors of carotid atherosclerosis plaque are almost the same as atherosclerosis, such as age , hypertension ,diabetes, hyperlipidemia , high FIB and CRP level and increase in carotid IMT. CRP and FIB may play a crucial role in the development of carotid artery atherosclerosis plaque.
Objective To investigate the correlation between stress hyperglycemia ratio (SHR) and acute ischemic stroke (AIS) 1-year prognosis, to provide more clinical basis to improve the prognosis of AIS patients and to target and control the influencing factors. MethodsThe patients with AIS diagnosed for the first time and received treatment at the Shijiazhuang Fifth Hospital between May 2019 and January 2022 were retrospectively and continuously included. According to the Modified Rankin Scale score 1-year after the onset of the disease, the patients were divided into a good prognosis group and a poor prognosis group. Also the patients were divided into 2 groups based on the median of SHR. The correlation between SHR and stress blood glucose was analyzed, and the factors affecting the prognosis of AIS patients were identified. The predictive value of SHR and stress blood glucose on the prognosis of AIS patients was compared using receiver operating characteristic. Results A total of 206 patients were included. Among them, there were 125 cases (60.7%) in the good prognosis group and 81 cases (39.3%) in the poor prognosis group. The median SHR (lower quartile, upper quartile) is 1.20 (1.08, 1.33). There were statistically significant differences between the two groups in the scores of the National Institutes of Health Stroke Scale, diabetes history, hypertension history, low-density lipoprotein cholesterol, stress blood glucose, age, SHR and SHR classification (P<0.05). There was no statistically significant difference in the other indicators compared between the two groups (P＞0.05). Stress blood glucose was positively correlated with SHR (7.95±1.78 vs. 1.21±0.19; r=0.294, P<0.001). Multivariate logistic analysis showed that stress blood glucose and SHR were independent factors influencing the 1-year prognosis of AIS patients (P<0.05), and the interaction between SHR and diabetes was not significant (P>0.05) After adjusting for confounding factors, the area under the receiver operating characteristic curve of SHR for the prognosis of AIS patients was higher than that of stress blood glucose [0.682 (0.614, 0.745) vs .0.585 (0.515, 0.653); Z=2.042, P=0.041]. Conclusions SHR and stress blood glucose are independent risk factors for 1-year prognosis in AIS patients. However, SHR has a better predictive value for 1-year prognosis in AIS patients than stress blood glucose. Whether the patient has diabetes or not, the impact of SHR on the prognosis of AIS patients is consistent.
Objective To investigate the current situation of clinical studies on puerarin for ischemic stroke and the reliability of these evidence. Methods By electronic searching and handsearching, we collected all the published clinical study reports on puerarin for ischemic stroke and assessed all the included reports according to clinical epidemiologic standard. Results 35 RCTs, 22 non-randomized controlled trials and 17 case serials studies were included and analysed. Conclusions Current quality of clinical studies of puerarin for ischemic stroke is not good enough to provide reliable evidence.
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.
To evaluate the effectiveness and safety of anticoagulants in ischaemic stroke primary or secondary prevention and treatment, we searched The Cochrane Library and MEDLINE to find high quality evidence and summarized the available evidence. The results showed that routine immediate anticoagulant therapy in patients with acute ischaemic stroke should not be recommended because it increased the risk of hemorrhage with ineffective reduction to the risk of death or disability. For the high risk group with cardiogenic embolism, anticoagulant therapy could safely and effectively reduce the incidence of stroke or other vascular events. However, for non-cardiogenic embolism group, anticoagulant therapy was hard to balance the benefits and harms.
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.
Diabetes mellitus patients have the characteristics of higher morbidity of ischemic stroke, severe symptoms, more recurrent stroke and higher mortality. Current studies have shown that stroke patients with or without diabetes mellitus have different pathophysiological mechanisms during stroke progress. Accordingly, treatment that is beneficial to non-diabetes mellitus patients may not be beneficial to diabetes mellitus stroke patients. This article reviews the current research status of pathophysiological mechanism of diabetes mellitus complicated with ischemic stroke, and provides reference for the relevant research of drug intervention in diabetes mellitus patients complicated with stroke.
Objective To systematically review the association between ALDH2 polymorphism and ischemic stroke. Methods Web of Science, PubMed, CNKI, CBM and WanFang data were searched to collect case-control studies about the association between ALDH2 polymorphism and ischemic stroke from the inception to October 2016. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then meta-analysis was performed by using Stata 12.0 software. Results A total of seven case-control studies were included. The results of meta-analysis showed that the A allele and AA genotype in ALDH2 was associated with the risk of ischemic stroke (Avs. G: OR=1.430, 95%CI 1.006 to 2.033,P=0.046; AAvs. AG+GG: OR=1.734, 95%CI 1.267 to 2.373,P=0.001; AAvs. GG: OR=1.757, 95%CI 1.274 to 2.424,P=0.001). Conclusion ALDH2 gene polymorphism may related to ischemic stroke for Chinese and A allele of ALDH2 may be the risk factors.
Good collateral circulation can effectively improve the prognosis of patients with severe stenosis or occlusion of cerebral blood supply artery. Studies have shown that CT angiography (CTA) can non-invasively and intuitively evaluate the degree of stenosis and collateral blood flow in diseased vessels. Rapid and accurate CTA collateral circulation score is of great significance for clinical decision-making and judging the prognosis of ischemic stroke. At present, there are many scoring scales based on CTA collateral circulation. This article will review the existing 7 CTA collateral circulation scoring scales, the advantages and disadvantages of clinical application and related research progress in predicting prognosis, aiming to provide a reference for clinicians to choose the collateral circulation score scale and the best treatment plan according to different situations.