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Objective:To investigate the predictive value of monocyte-to-high-density lipoprotein cholesterol ratio (MHR) for early neurological deterioration (END) and hemorrhagic transformation (HT) after intravenous thrombolysis in patients with acute ischemic stroke (AIS).Methods:Patients with AIS received IVT in Hefei Second People's Hospital from May 2020 to January 2022 were retrospectively enrolled. Blood collection was completed and MHR was calculated before intravenous thrombolysis. END was defined as an increase of ≥2 from the baseline in the National Institutes of Health Stroke Scale (NIHSS) score or ≥1 from the baseline in motor function score at any time within 7 d after admission. HT was defined as intracranial hemorrhage newly found by CT/MRI within 24 h after intravenous thrombolysis. Multivariate logistic regression analysis was used to determine the independent predictors of END and HT, and the receiver operating characteristic (ROC) curve was used to analyze the predictive value of MHR for END and HT. Results:A total of 186 patients with AIS treated with IVT were included, of which 50 (26.9%) had END and 31 (16.7%) had HT. The median MHR was 0.43. The MHR in the END group was significantly higher than that in the non-END group (0.49 vs. 0.40; P=0.008), and the MHR in the HT group was significantly higher than that in the non-HT group (0.52 vs. 0.40; P=0.013). All patients were divided into 4 groups (MHR1, MHR2, MHR3 and MHR4) according to the MHR quartile from low to high. Multivariate logistic regression analysis showed that after adjusting for confounding factors, taking MHR1 as a reference, MHR3 (odds ratio [ OR] 6.317, 95% confidence interval [ CI] 1.465-27.237; P=0.013) and MHR4 ( OR 8.064, 95% CI 1.910-34.051; P=0.005) were the significant independent predictors of END; Taking MHR1 as a reference, MHR4 ( OR 5.147, 95% CI 1.194-22.182; P=0.028) was the significant independent predictor of HT. The ROC curve analysis showed that the area under the curve of MHR for predicting END was 0.628 (95% CI 0.554-0.698; P=0.008). When the optimal MHR cutoff value was 0.41, its sensitivity and specificity for predicting END was 74.0% and 53.7% respectively. The area under the curve of MHR for predicting HT was 0.642 (95% CI 0.569-0.711; P=0.013). When the best cutoff value was 0.44, the sensitivity and specificity of MHR for predicting HT were 77.4% and 58.1% respectively. Conclusion:Higher MHR is a risk factor for END and HT after intravenous thrombolysis in patients with AIS, but the predictive value of MHR for END and HT is limited.
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Ischemic stroke is the second leading cause of disability and death worldwide, which brings heavy burden to society and families. Epidemiological studies have shown that vitamin D level are associated with the prevalence of hypertension, diabetes, atherosclerosis, and cerebrovascular events. This article reviews the relationship between vitamin D level and ischemic stroke risk, infarct volume in acute phase, severity of neurological deficit and functional outcome, and discusses the impact of vitamin D supplementation on ischemic stroke, and expects to provide new ideas for the prevention and treatment of ischemic stroke.
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Objective:To investigate the efficacy and safety of using diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) mismatch to guide intravenous thrombolysis in patients with ischemic stroke beyond a 4.5-h time window.Methods:Patients with acute ischemic stroke received intravenous thrombolysis with alteplase in the Stroke Center of Hefei Second People's Hospital from July 2019 to June 2021 were retrospectively enrolled. According to the time of onset, they were divided into the time window group and the beyond time window group. The demographic and baseline clinical data of both groups were recorded and compared. The primary outcome measure was the clinical outcome assessed by the modified Rankin Scale (mRS) at 90 d after onset. 0-2 points were defined as good outcome, and >2 were defined as poor outcome. The secondary outcome measure was symptomatic intracranial hemorrhage (sICH). Multivariate logistic regression analysis was used to determine the independent risk factors for poor outcomes. Results:A total of 244 patients with acute ischemic stroke were enrollded, including 146 males (58.8%), aged 61.4±8.47 years. The median time from onset to thrombolysis was 142 min, and the median baseline National Institutes of Health Stroke Scale (NIHSS) score was 7. Thirty-six (14.8%) patients exceeded the 4.5 h time window, and 69 (28.3%) patients had poor outcomes. There were no significant differences in the good outcome rate (71.2% vs. 75.0%; χ2=0.224, P=0.636), any intracranial hemorrhage (9.6% vs. 13.9%; χ2=0.233, P=0.629) and the incidence of sICH (5.3% vs. 5.6%; χ2=0.000, P=1.000) between the time window group and the beyond time window group. Univariate analysis showed that the proportion of patients with atrial fibrillation or cardiogenic embolism and the baseline NIHSS score in the poor outcome group were significantly higher than those in the good outcome group (all P<0.05), while there was no statistical difference in the proportion of patients receiving intravenous thrombolysis beyond the time window. Multivariate logistic regression analysis showed that only the baseline NIHSS score was an independent risk factor for poor outcomes (odds ratio 1.681, 95% confidence interval 1.457-1.940; P<0.001). Conclusions:Compared with the patients who received intravenous thrombolysis within 4.5 h after onset, intravenous thrombolysis in patients with acute ischemic stroke beyond the 4.5 h time window guided by DWI-FLAIR mismatch results in similar clinical outcomes, and does not increase the incidence of intracranial hemorrhage.
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Objective:To investigate the predictive value of platelet-to-neutrophil ratio (PNR) on hemorrhagic transformation (HT) and poor outcomes at 90 d after intravenous thrombolysis (IVT) in patients with acute ischemic stroke (AIS).Methods:Patients with AIS received IVT in Hefei Second People's Hospital from July 2019 to June 2021 were retrospectively enrolled. HT was defined as intracerebral hemorrhage found by CT reexamination within 24 h after IVT, and the poor outcome was defined as the modified Rankin Scale score ≥3 at 90 d after onset. Multivariate logistic regression analysis was used to determine the independent predictors of HT and poor outcomes at 90 d, and the predictive value of PNR on HT and poor outcomes at 90 d was analyzed by receiver operating characteristic (ROC) curve. Results:A total of 202 patients with AIS treated with IVT were included, of which 32 had HT and 50 had poor outcomes at 90 d after onset. Multivariate logistic regression analysis showed that PNR at 24 h after IVT was significantly and independently negatively correlated with the poor outcomes (odds ratio [ OR] 0.959, 95% confidence interval [ CI] 0.928-0.991; P=0.012); PNR at admission ( OR 0.886, 95% CI 0.827-0.948; P<0.001) and PNR at 24 h after IVT ( OR 0.923, 95% CI 0.879-0.969; P=0.001) were significantly independently and negatively correlated with HT. ROC curve analysis showed that the area under the curve of PNR at 24 h after IVT for predicting poor outcomes was 0.733 (95% CI 0.659-0.807; P=0.012), the best cutoff value was 35.03, and the predictive sensitivity and specificity were 70.4% and 74%, respectively. The area under the curve of PNR at admission for predicting HT was 0.830 (95% CI 0.774-0.886; P<0.001), the best cutoff value was 34.81, and the predictive sensitivity and specificity were 70% and 93.7%, respectively. The area under the curve of PNR at 24 h after IVT for predicting HT was 0.770 (95% CI 0.702-0.839; P=0.001), the best cutoff value was 41.73, and the predictive sensitivity and specificity were 53.5% and 96.9%, respectively. Conclusion:For patients with AIS treated with IVT, lower PNR at 24 h after IVT is an independent predictor of the poor outcomes at 90 d, while PNR at admission and 24 h after IVT are the independent predictors of HT.
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Objective:To investigate the efficacy and safety of intravenous thrombolysis based on diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) mismatch in patients with wake-up stroke (WUS).Methods:Patients with acute ischemic stroke received alteplase intravenous thrombolysis in the Stroke Center, the Second People's Hospital of Hefei from July 2019 to June 2021 were enrolled retrospectively. According to the time of finding the symptoms, they were divided into WUS group and non-WUS group. The demographic and baseline clinical data were documented and compared between the two groups. The efficacy endpoint was the clinical outcome assessed by the modified Rankin Scale (MRS) score at 90 d after onset. 0-2 was defined as a good outcome, and >2 were defined as a poor outcome. The primary safety endpoint was symptomatic intracranial hemorrhage (sICH); the secondary safety endpoint was death within 90 d after onset. Multivariate logistic regression analysis was used to determine the independent risk factors for poor outcome. Results:A total of 256 patients with acute ischemic stroke were enrolled, including 155 males (60.5%), aged 63.0±8.53 years. The median time from symptom onset to intravenous thrombolysis was 130.5 min, and the median baseline National Institutes of Health Stroke Scale (NIHSS) score was 7. Forty-eight patients (18.7%) were WUS and 208 (81.3%) were non-WUS; 186 (72.7%) had a good outcome and 70 (27.3%) had a poor outcome. There were no significant differences in 90 d good outcome rate (79.2% vs. 71.2%; χ2=1.260, P=0.262), sICH incidence (4.2% vs. 5.3%; χ2=0.102, P=0.750) and 90 d mortality (2.1% vs. 3.4%; χ2=0.000, P=1.000) between the WUS group and the non-WUS group. The baseline NIHSS score, the time from symptom onset to intravenous thrombolysis and the proportion of patients with cardiogenic embolism in the poor outcome group were significantly higher than those in the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that the baseline NIHSS score (odds ratio 1.670, 95% confidence interval 1.453-1.919; P<0.001) and the time from symptom onset to intravenous thrombolysis (odds ratio 1.007, 95% confidence interval 1.000-1.015; P=0.043) were the independent risk factors for the poor outcome. Conclusion:The efficacy and safety of intravenous thrombolysis in DWI-FLAIR-mismatched wake-up stroke patients are comparable to those of acute ischemic stroke within the time window.
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Due to the narrow time window of traditional reperfusion therapy and the presence of the risk of reperfusion injury, it is of great significance to study the pathogenesis of ischemic stroke and explore methods to reduce reperfusion injury from the perspective of pathophysiology. This article expounds the functions of von Willebrand factor (vWF) and platelet glycoprotein (GP) Ⅰb and their roles in hemostasis, thrombosis, and inflammation. It is believed that pharmacological blockade of the interaction of vWF-GP Ⅰb may contribute to the treatment of ischemic stroke. In addition, its clinical significance in ischemic stroke and ischemic brain injury was further discussed.
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Objective:To investigate the correlation between mean platelet volume (MPV) and clinical outcome in patients with acute ischemic stroke (AIS) after intravenous thrombolysis.Methods:Consecutive patients with AIS treated with standard dose alteplase intravenous thrombolysis in the Department of Neurology, the Second People's Hospital of Hefei from July 1, 2019 to August 30, 2020 were enrolled retrospectively. The clinical, laboratory, and imaging data of the patients were collected. The modified Rankin Scale was used to evaluate the clinical outcome at 90 d after onset, and a score of >2 was defined as a poor outcome. Multivariate logistic regression model was used to analyze the independent correlation between MPV and clinical outcome. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of MPV for clinical outcome. Results:A total of 104 patients with AIS who received intravenous thrombolytic therapy were included, including 40 males (38.5%), 64 females (61.5%), and their age was 68.7±12.5 years. The baseline median National Institutes of Health Stroke Scale (NIHSS) score was 6 (interquartile range, 4-11), and the time from onset to intravenous thrombolysis was (128.5±55.9) min. Seventy-five patients (72.1%) had a good outcome, 29 (27.9%) had a poor outcome, and there was no death. The baseline NIHSS score, C-reactive protein, MPV, MPV/platelet count ratio and the proportion of patients with anterior circulation infarction in the poor outcome group were significantly higher than those in the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that MPV (odds ratio [ OR] 1.868, 95% confidence interval [ CI] 1.277-2.732; P=0.001) and baseline NIHSS score ( OR 1.199, 95% CI 1.083-1.328; P<0.001) were the independent risk factors for poor outcome. ROC curve analysis showed that the area under the curve for predicting poor outcome was 0.714 (95% CI 0.606-0.821; P=0.001). The optimal cut-off value was 11.25 fl, the predictive sensitivity and specificity were 65.5% and 70.5%, respectively. Conclusions:There was a significant independent correlation between MPV and the clinical outcome in patients with AIS after intravenous thrombolysis. A higher baseline MPV had a certain predictive value for poor outcome.
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Objective:To investigate the correlation between neutrophil to lymphocyte ratio (NLR) and 30-day clinical outcomes in patients with spontaneous cerebral hemorrhage and whether adding NLR to ICH score improve the accuracy of predicting poor outcomes.Methods:Patients with spontaneous intracerebral hemorrhage admitted to the Department of Neurology, the Second People's Hospital of Hefei from March 2018 to April 2019 were enrolled retrospectively. The demographic and baseline clinical and imaging data were documented. The absolute neutrophil counts and absolute lymphocyte counts within 24 h of onset were obtained and NLR was calculated. At 30 d after the onset of cerebral hemorrhage, the modified Rankin Scale was used to evaluate the outcomes. Good outcome was defined as ≤2, and poor outcome was defined as >2. Multivariate logistic regression analysis was used to determine the independent risk factors for poor outcomes. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of baseline NLR, ICH score and NLR+ ICH score for poor outcomes in patients with spontaneous cerebral hemorrhage. Results:A total of 159 patients with spontaneous cerebral hemorrhage were enrolled, including 106 males (66.67%), age 62.29±15.10 years. Neutrophil count was (7.30±3.95)×10 9/L, lymphocyte count was (1.41±0.67)×10 9/L, and NLR was 6.94±7.66. Baseline hematoma volume was 17.93±25.87 ml, median ICH score 0 (interquartile range 0-1). The outcomes of 60 patients (37.7%) were poor at 30 d. Univariate analysis showed that coronary heart disease, systolic blood pressure, diastolic blood pressure, high-sensitivity C-reactive protein, fasting blood glucose, white blood cell count, neutrophil count, NLR, hematoma broken into the ventricle, hematoma volume, NIHSS and ICH scores in the poor outcome group were significantly higher than those of the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that NLR was an independent predictor of poor outcomes at 30 d after the onset of spontaneous cerebral hemorrhage (odds ratio 1.135, 95% confidence interval 1.092-2.321; P=0.038). The ROC curve analysis showed that the best cut-off value of NLR was 6.679, and the sensitivity and specificity of predicting poor outcomes were 51.67% and 76.77% respectively; the best cut-off value of ICH score was 1.0, and the sensitivity and specificity of predicting poor outcomes were 69.71% and 89.80% respectively; the sensitivity and specificity of the combined application of NLR + ICH score to predict poor outcomes were 74.58% and 82.65% respectively. Conclusions:NLR was independently associated with poor outcomes at 30 d after the onset of spontaneous cerebral hemorrhage. Adding it to the ICH score could improve the accuracy of predicting poor outcome.
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In recent years, the concept of " microbiome-gut-brain axis" has been proposed to reveal the wide connection between gut microbiome and nervous system diseases. As a common and frequently occurring disease of nervous system, the occurrence and outcome of ischemic stroke are closely related to gut microbiome. This article reviews the relationship between gut microbiome and risk factors of ischemic stroke and immune inflammation after stroke.
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Recent studies have shown that there is a mutual influence between gut microbiota and stroke. Stroke-associated pneumonia (SAP) is a common complication of stroke, which is closely associated with death and poor prognosis of patients. Gut microbiota translocation may be the source of infection of SAP, but the specific mechanism of gut microbiota and SAP remains unclear. This article reviews the relationship between gut microbiota and SAP in order to provide reference for the prevention and treatment of SAP.
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Objective To study the effect of high rosuvastatin dose on outcome in patients with large artery atherosclerotic stroke (LAAS).Methods Eighty-two LAAS patients were randomly divided into high rosuvastatin dose group (n=39) and routine rosuvastatin dose group (n=43).Their serum blood lipid level and inflammatory indexes were measured and their clinical outcome was assessed.Results No significant difference was found in mortality,recurrence and hemorrhagic transformation between the two groups (P＞0.05).The rate of improved outcome was significantly higher in high rosuvastatin dose group than in routine rosuvastatin dose group (84.62％ vs 65.12％,P=0.04).The serum hs-CRP level was significantly lower in routine rosuvastatin dose group and high rosuvastatin dose group after treatment than before treatment (0.56±0.60 mg/L vs 0.70±0.68 mg/L,P=0.01;0.22±0.29 mg/L vs 0.69±0.58mg/L,P=0.00) and in high rosuvastatin dose group than in routine rosuvastatin dose group after treatment than before treatment (0.22±0.29 mg/L vs 0.56±0.60 mg/L,P=0.00).The rate of LDL C＜1.8 mmol/L and non HDL-C＜2.6 mmol/L was significantly higher in high rosuvastatin dose group than in rosuvastatin dose group after treatment (69.23％ vs 46.51％,P=0.04;66.67％ vs 41.86％,P=0.03).No significant adverse reactions occurred in both groups.Conclusion High rosuvastatin dose can effectively increase the blood lipid level,reduce the serum hs-CRP level,and improve the clinical outcome in LAAS patients.
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β2-Microglobulin is a small molecule protein, consisting of a polypeptide chain.Previous studies have confirmed that serum β2-microglobulin is a biomarker that reflects early renal function injury, and renal function injury is closely correlated with ischemic stroke.Studies in recent years have shown that the level of serum β2-microglobulin increases significantly in patients with ischemic stroke.Thus, it can be used as a biomarker for the risk of ischemic stroke.
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Objective To investigate whether the decision-making ability was impaired under the condition of clear risk probability in patients with cerebral miceobleeds (CMBs).Methods The Game of Dice Test (GDT) with the clear risk probability was used to conduct the risk decision ability study in 45 patients with CMBs and 45 without CMBs.Results GDT showed that patients in the CMBs group was more like to choose the risky option compared with the non-CMB group (9.64 ± 3.22 vs.6.51 ± 4.48;t =3.809,P ＜0.001).Among the 4 options,the most frequent choice in the CMBs group was the option of the highest risk,i.e.2 numbers (6.91 ±3.02 vs.4.71 ±2.95;t =3.494,P =0.001);and the most frequent choice in the non-CMBs was 3 numbers (4.87 ±2.17 vs.7.71 ±2.71;t =-5.496,P＜0.001).The GDT was divided into 3 stages.The number of security options selected by patients in the CMBs group was significantly less than that by patients in the non-CMBs group in all stages (stage 1:-0.27 ± 3.00 vs.0.93 ±3.09;t =-1.867,P =0.065;stage 2:-0.62 ± 2.55 vs.2.27 ± 2.65;t =-5.268,P ＜ 0.001;stage 3:-0.53 ± 2.57 vs.2.89 ± 3.12;t =-5.677,P＜ 0.001),and with the increase of the number of tests,selecting security options increased gradually in the non-CMB group (F =4.780,P =0.010),while the CMBs group was not (F =0.209,P =0.812).Conclusions The patients with CMBs have significant impairment in decision making ability under the condition of specific risk probability.
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Objective To investigate the correlation between cognitive function and cerebral microbleeds (CMBs) in patients with acute cerebral infarction.Methods The clinical and imaging findings in patients with acute stroke were analyzed retrospective.CMBs were counted according to the findings of MRI.The general conditions,CMB site and leukoaraiosis severity of the patients were recorded in detail.The cognitive function of the patients was assessed with the Montreal cognitive assessment scale (MoCA) the next day in the hospital.MoCA assessment follow-up was conducted at 3,6 and 9 months.The changes in cognitive function of the patients with acute cerebral infarction and its relationship with CBMs were analyzed.Results A total of 82 patients with ischemic stroke were enrolled in the study,33 of them had CBMs and 49 had no CBMs.The systolic blood pressure (155.03 ± 19.68 mm Hg vs.142.20 ± 21.22 mm Hg;t =2.762,P =0.007) and the National Institutes of Health Stroke Scale (NIHSS) score (6.21 ±4.57 vs.4.00 ±3.98; t =2.322,P =0.023) in the CBM group were significantly higher than those in the non-CBM group.Multivariate logistic regression analysis showed that the systolic blood pressure level (odds ratio [OR] 1.032,95％ confidence interval [CI] 1.008-1.057; P=0.009) and the NIHSS score (OR 1.163,95％ CI 1.013-1.311;P=0.014) were the independent predictors of CBMs in patients with acute cerebral infarction.CMBs were closely associated with MoCA scores,and the longer follow-up time,the correlation would stronger.The executive function (rs =0.318,P =0.004),visual space function (rs =0.403,P =0.000) and calculation function (rs =0.362,P=0.001) in patients with CMBs were significantly impaired.The more serious of CMBs,the lower of the scores in above 3 cognitive domains,and the damage would be more serious.Conclusions CMBs are closely associated with cognitive function impairment in patients with acute cerebral infarction.The more serious of CMBs,the more serious of cognitive function impairment will be,and with the extension of time,cognitive function impairment in patients with CMBs will aggravate.
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Cerebral microbleed is a cerebral small vessel disease.The detection rate is 4.5％ to 84.9％in different populations.Vascular cognitive impairment is the general name of various cerebrovascular diseases and their risk factors caused varying degrees of cognitive impairments.Studies have shown that cerebral microbleed is closely associated with vascular cognitive impairment.This article reviews the relationship between cerebral microbleed and vascular cognitive impairment in different populations,different degrees and different locations.