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Objective@#To describe bullying victimization of middle school students in Dalian and associated factors, so as to provide scientific basis for campus bullying prevention.@*Methods@#The stratified cluster sampling method was used to select 2 540 middle school students from urban and rural areas in Dalian, who were investigated with campus bullying victimization and related factors.@*Results@#The reported rate of campus bullying victimization among middle school students in Dalian was 25.11%. The rates of physical violence (5.99%, 3.66%) and verbal violence(24.93%, 15.87%) of male students were higher than that of female students( χ 2=6.56, 27.94, P <0.05). The rates of verbal violence (22.84%, 16.25%) and emotional neglect(16.84%, 13.18%) of junior high school students were higher than those of high school students( χ 2=14.21, 5.44, P < 0.05 ). The rates of physical violence(6.07%, 3.55%), verbal violence(24.58%, 16.05%) and emotional neglect(18.88%, 12.06 %) of rural students were higher than those of urban students( χ 2=7.72, 24.81, 19.64, P <0.05). Male students, junior high school students and rural students suffered more severe campus bullying than female students, high school students and urban students( Z =3.46, 3.75, 5.89, P <0.01). The structural equation model showed that academic performance (path coefficient -0.003) and father s education (path coefficient -0.004 ) have a direct negative effect on campus bullying behavior, while mother s education (indirect action coefficient -0.000 8), height(indirect action coefficient -0.000 3), father s education (indirect action coefficient -0.000 3) and weight (indirect action coefficient 0.000 2) indirect effects on campus bullying through academic performance.@*Conclusion@#The prevalence of campus bullying victimization among middle school students in Dalian is relatively high, which worths further attention to. Rural students, junior high school students and boys are more likely to suffer campus bullying. Improving academic performance might be beneficial for campus bullying prevention.
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Objective To investigate the relationship between total cerebral small vessel disease (CSVD) burden and intracranial hemorrhage transformation (HT) after intravenous thrombolysis in patients with acute ischemic stroke (AIS).Methods One hundred and fifty-four patients who suffered from ischemic stroke within 4.5 hours of onset and received recombinant tissue plasminogen activator thrombolytic therapy in the emergency green channel of the First Affiliated Hospital of Soochow University from August 2016 to January 2018 were enrolled.HT examined by computed tomography scan within 24 hours after thrombolysis was included.The magnetic resonance imaging examination was performed within 48 hours.The patients were divided into two groups:HT group and control group according to the presence or absence of HT.Periventricular white-matter hyperintensities (WMH) with Fazekas score of 3 or deep WMH with Fasekas score of 2 or 3 was recorded as 1 point,MRI of cerebral microbleeds (CMBs) or lacunar infarction (LI) was recorded as 1 point respectively,and peripheral vascular space (PVS) in basal ganglia graded 2-4 (≥11)was counted 1 point.Single-factor analysis was used to compare total CSVD burden score,baseline data and clinical data between the two groups.Multivariate Logistic regression analysis was performed to explore the relationship between total CSVD burden score and HT.Results The age of the 154 patients was 66.00(59.00,74.25) years,males accounted for 66.9％ (103/154),onset to treatment time (OTT) was 174.50 (131.50,200.00) minutes and the NIHSS score before thrombolytic therapy was 6.00 (3.00,10.25).There were 43 cases (27.9％) with moderate to severe WMH,35 cases (22.7％) with CMBs,52 cases (33.8％) with PVS graded 2-4,and 96 cases (62.3％) with LI.There were 21 enrolled patients (13.6％) who suffered from HT.Symptomatic intracranial hemorrhage occurred in nine cases (5.8％).In the multivariate Logistic regression model,the results demonstrated that baseline diastolic pressure (OR=1.072,95％CI 1.027-1.118,P=0.001)and atrial fibrillation (OR=28.564,95％CI 6.217-131.241,P=0.000) were independently associated with HT.After using the mild CSVD burden score as a reference,moderate CSVD burden (OR=0.810,95％ CI 0.154-4.257,P=0.804) was not associated with HT after thrombolysis,and severe CSVD burden (OR=8.429,95％ CI 1.643-43.227,P=0.011) was independently associated with HT.Conclusions The severity of total CSVD burden in patients with AIS was closely related to HT after thrombolysis.Severe CSVD was an independent risk factor for HT after thrombolysis.
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Ischemic stroke has the characteristics of high disability,high mortality,and high recurrence rate,and the abundant collateral circulation is an independent predictor of good outcomes in stroke.This article mainly elaborates the cytological and molecular mechanisms of vascular remodeling process after ischemic stroke in order to provide new ideas and targets for the treatment of ischemic stroke.
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Objective@#Symptomatic intracranial hemorrhage (sICH) is one of the severe complications of ischemic stroke thrombolysis. Several prognostic scales have been developed to predict the risk of sICH. The performance of seven scales was compared in a single center cohort.@*Methods@#Data of patients with consecutive ischemic stroke who received 0.9 mg/kg intravenous recombinant tissue plasminogen activator (rt-PA) thrombolysis within 4.5 h time window from stroke onset were collected. Seven scales that can provide an estimate of risk of sICH were identified and evaluated: Hemorrhage After Thrombolysis (HAT), blood Sugar, Early infarct signs, (hyper) Dense cerebral artery sign, Age, National Institutes of Health (NIH) Stroke Scale (SEDAN), Stroke Prognostication using Age and NIH Stroke Scale (SPAN)-100, Safe Implementation of Thrombolysis in Stroke (SITS), Total Health Risks In Vascular Events (THRIVE), Glucose at presentation, Race (Asia), Age, Sex (male), systolic blood Pressure at presentation, and Severity of stroke at presentation (NIH Stroke Scale; GRASPS) and Multicenter Stroke Survey (MSS). The area under the receiver operating characteristic curve (AUROC) was calculated and Logistic regression and the Hosmer-Lemeshow test were also performed.@*Results@#The current study included 293 patients, of whom 7.85% (23/293) had sICH by National Institute of Neurological Disorders and Stroke (SICHNINDS), 5.46% (16/293) by Europe Cooperative Acute Stroke Study Ⅱ (SICHECASSⅡ) and 4.44% (13/293) by Safe Implementation of Thrombolysis in Stroke (SICHSITS) criteria. SEDAN had the highest AUROC for predicting sICH: sICHNINDS: AUROC=0.843, OR=3.167, 95%CI 2.106-4.762, P<0.01; sICHECASSⅡ: AUROC=0.797, OR=2.509, 95%CI 1.652-3.812, P<0.01; sICHSITS: AUROC=0.784, OR=2.172, 95%CI 1.405-3.357, P<0.01. And SPAN-100 had the lowest AUROC among all the seven scales and was only associated with risk of SICHNINDS in regression analysis. Furthermore, when sub-grouped the cohort into anterior circulation infarction and posterior circulation infarction, regression analysis suggested that all the seven scales were however not associated with sICH risk in patients with posterior circulation infarction.@*Conclusions@#SEDAN constantly had the highest predictive power, SPAN-100 had the worst. The seven scales studied could not predict sICH in posterior circulation infarction.
