ObjectiveTo explore the association between prediabetes and poor outcome in patients with acute ischemic stroke (AIS).MethodsThe patients with first-ever AIS who were hospitalized in the Department of Neurology, the First Affiliated Hospital of Henan University of Science and Technology from September to December 2018 were retrospectively enrolled. According to the different levels of hemoglobin A1c, the patients were divided into prediabetes group, diabetes mellitus (DM) group and non-DM group. The outcome of the patients 3 months after the discharge was assessed by the modified Rankin Scale and dichotomized as good and poor outcomes. ResultsA total of 188 patients were included, and 160 were eventually included. Among them, 66 cases were in the non-DM group, 39 were in the prediabetes group, and 55 were in the DM group; 68 patients were in the poor prognosis group and 92 were in the good prognosis group. There was no statistically significant difference among the non-DM group, prediabetes group, and DM group (P>0.05) except for hyperlipidemia (χ2=7.781, P=0.020), triglyceride (TG) (F=8.220, P<0.001) and admission blood glucose (F=44.356, P<0.001). There was no statistically significant difference between the good prognosis group and the poor prognosis group (P>0.05) except for hyperlipidemia (χ2=4.847, P=0.028), admission blood glucose (t=−2.940, P=0.004), TG (t=−2.766, P=0.006), and NIHSS (Z=−6.038, P<0.001). Prediabetic [odds ratio (OR)=4.053, 95% confidence interval (CI) (1.491, 11.019)] and diabetic [OR=5.986, 95%CI (2.330, 15.379)] patients had a worse prognosis 3 months after the discharge.ConclusionIn adults with first-ever AIS, prediabetes and diabetes were associated with poor prognosis in patients with AIS after 3 months.
ObjectiveTo observe and compare the efficacy and safety of intravenous thrombolysis with alteplase or urokinase in the first-ever acute ischemic stroke patients arriving at the hospital 3.5-4.5 h after onset.MethodsClinical data of patients with acute ischemic stroke treated in Shihezi People’s Hospital between January 2019 and October 2020 were prospectively collected. The National Insititutes of Health Stroke Scale (NIHSS) score on the 7th day and the 90th day, the modified Rankin Scale (mRS) score and the Blessed Behavior Scale (BBS) score on the 90th day, and symptomatic bleeding within 36 h after thrombolysis were analyzed and compared between the patients receiving alteplase threatment (the alteplase group) and the ones receiving urokinase treatment (the urokinase group).ResultsTotally 96 patients were treated with intravenous thrombolysis. Among them, 58 patients received alteplase threatment and 38 received urokinase treatment. The difference in NIHSS, mRS, or BBS scores between the two groups before treatment was not statistically significant (P>0.05). On the 90th day after treatment, the NIHSS, mRS, and BBS scores of the alteplase group were 3.59±3.73, 2.26±1.26, and 15.33±8.28, respectively, and those of the urokinase group were 5.95±4.88, 3.00±0.87, and 20.37±11.80, respectively; the differences between the two groups were all statistically significant (P<0.05). There was no significant difference in the rate of symptomatic intracerebral hemorrhage between the two groups within 36 h after treatment (P>0.05). Multiple linear regression analyses showed that the treatment method was related to the NIHSS score on the 7th day, the NIHSS score on the 90th day, the mRS score on the 90th day, and the BBS score on the 90th day (P<0.05), the history of heart disease was related to the mRS score on the 90th day (P<0.05), and the income was related to the BBS score on the 90th day (P<0.05).ConclusionFor the hyperactue ischemic stroke, the overall effect of alteplase treatment may be better than that of urokinase treatment.
Clinically, non-contrastive computed tomography (NCCT) is used to quickly diagnose the type and area of stroke, and the Alberta stroke program early computer tomography score (ASPECTS) is used to guide the next treatment. However, in the early stage of acute ischemic stroke (AIS), it’s difficult to distinguish the mild cerebral infarction on NCCT with the naked eye, and there is no obvious boundary between brain regions, which makes clinical ASPECTS difficult to conduct. The method based on machine learning and deep learning can help physicians quickly and accurately identify cerebral infarction areas, segment brain areas, and operate ASPECTS quantitative scoring, which is of great significance for improving the inconsistency in clinical ASPECTS. This article describes current challenges in the field of AIS ASPECTS, and then summarizes the application of computer-aided technology in ASPECTS from two aspects including machine learning and deep learning. Finally, this article summarizes and prospects the research direction of AIS-assisted assessment, and proposes that the computer-aided system based on multi-modal images is of great value to improve the comprehensiveness and accuracy of AIS assessment, which has the potential to open up a new research field for AIS-assisted assessment.
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 understand the dynamic changes of inflammatory indicators in the peripheral blood of patients with malignant cerebral edema at different time points after acute cerebral infarction, and provide a basis for early prediction and prevention of malignant cerebral edema. Methods Consecutive patients with acute cerebral infarction within 24 h of onset who were admitted to the Department of Neurology, West China Hospital of Sichuan University between January 1st, 2017 to December 31st, 2018 were collected. The basic clinical data of the patients were collected, and the data of inflammatory cells (white blood cell count, absolute neutrophil count, absolute lymphocyte count, and neutrophil to lymphocyte ratio) and acute phase reactants (blood glucose, fibrinogen, albumin, and fibrinogen to albumin ratio) were dynamically collected at admission and 1, 3, and 7 d after admission, respectively. Differences between groups were compared using generalized estimating equations. Results A total of 798 patients with acute cerebral infarction were included, of whom 93 (11.65%) developed malignant cerebral edema. At all time points examined, the white blood cell counts, absolute neutrophil counts, and neutrophil to lymphocyte ratios were higher in the malignant cerebral edema group than those in the non-malignant cerebral edema group (Wald χ2=63.737, P<0.001; Wald χ2=91.848, P<0.001; Wald χ2=75.197, P<0.001); 1 and 3 d after admission, the absolute lymphocyte counts were lower in the malignant cerebral edema group than those in the non-malignant cerebral edema group (Wald χ2=18.580, P<0.001). The blood glucose levels were higher in the malignant cerebral edema group compared with the non-malignant cerebral edema group 1, 3, and 7 d after admission (Wald χ2=16.722, P<0.001); no significant between-group effect was found in the albumin levels (Wald χ2=3.643, P=0.056); the fibrinogen levels were significantly different between groups 3 d after admission (Wald χ2=8.923, P=0.003), and the fibrinogen to albumin ratios differed between the two groups 3 and 7 d after admission (Wald χ2=6.739, P=0.009). Dynamic analysis of multiple time points in the malignant cerebral edema group found that these inflammatory markers mostly reached their extreme values 3 d after admission. Conclusions Compared with the non-malignant cerebral edema group, the inflammatory cell-related indicators (except lymphocytes) and the acute phase inflammatory reactant-related indicators in malignant cerebral edema patients are significantly higher, and the absolute lymphocyte count is significantly lower. Three days after admission to hospital is probably the most significant time point for the change of each inflammatory indicator.
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 efficacy of systemic immune inflammation index (SII) at admission and National Institutes of Health Stroke Scale (NIHSS) score immediately after thrombolysis on evaluating the short-term prognosis of neurological function in patients with acute ischemic stroke (AIS) receiving intravenous thrombolysis. Methods Patients with AIS treated with intravenous thrombolysis in the Second People’s Hospital of Chengdu between March 2022 and March 2023 were retrospectively analyzed. The basic data of the patients, NIHSS score at emergency admission, NIHSS score immediately after thrombolysis, modified Rankin Scale (mRS) score 3 months after discharge, and laboratory data at admission were collected, and SII at admission was calculated. According to the mRS score 3 months after discharge, the patients were divided into the good prognosis group (mRS≤2) and the poor prognosis group (mRS>2). Multivariate logistic regression analysis was used to screen out the factors affecting the prognosis of patients, and the receiver operating characteristic curve was drawn to analyze the evaluation effect of SII at admission and NIHSS score immediately after thrombolysis on the poor prognosis of neurological function of patients in the short term. Results A total of 213 patients were enrolled, and the prognosis was poor in 88 patients. Multivariate logistic regression analysis showed that age, onset-to-needle time, uric acid at admission, SII at admission, fasting blood glucose after admission, and NIHSS score immediately after thrombolysis were independent risk factors for poor prognosis in AIS patients (P<0.05). The area under the receiver operating characteristic curve (AUC) of SII at admission for predicting poor prognosis was 0.715, the sensitivity was 55.7%, and the specificity was 84.0%. The AUC of NIHSS score immediately after thrombolysis for predicting poor prognosis of patients was 0.866, the sensitivity was 87.5%, and the specificity was 72.8%. The AUC of SII at admission combined with NIHSS score immediately after thrombolysis for predicting poor prognosis of patients was 0.875, the sensitivity was 84.1%, the specificity was 77.6%, the positive predictive value was 72.5%, and the negative predictive value was 87.4%. SII at admission was positively correlated with NIHSS score at emergency admission, NIHSS score immediately after thrombolysis, and mRS score 3 months after discharge (P<0.05). Conclusion SII at admission can predict the short-term prognosis of neurological function of patients with AIS after thrombolysis therapy, and the combination of SII at admission and NIHSS score immediately after thrombolysis can improve the prediction efficiency.