Objective: This cross-sectional study explores the serial multiple mediation of the correlation between internet addiction and depression by social support and sleep quality of college students during the COVID-19 epidemic. Methods: We enrolled 2,688 students from a certain university in Wuhu, China. Questionnaire measures of internet addiction, social support, sleep quality, depression and background characteristics were obtained. Results: The prevalence of depression, among 2,688 college students (median age [IQR]=20.49 [20.0, 21.0] years) was 30.6%. 32.4% of the students had the tendency of internet addiction, among which the proportion of mild, moderate and severe were 29.8%, 2.5% and 0.1%, respectively. In our normal internet users and internet addiction group, the incidence of depression was 22.6% and 47.2%, respectively. The findings indicated that internet addiction was directly related to college students’ depression and indirectly predicted students’ depression via the mediator of social support and sleep quality. The mediation effect of social support and sleep quality on the pathway from internet addiction to depression was 41.97% (direct effect: standardized estimate=0.177; total indirect effect: standardized estimate= 0.128). The proposed model fit the data well. Conclusion Social support and sleep quality may continuously mediate the link between internet addiction and depression. Therefore, the stronger the degree of internet addiction, the lower the individual’s sense of social support and the worse the quality of sleep, which will ultimately the higher the degree of depression. We recommend strengthening monitoring of internet use during the COVID-19 epidemic, increasing social support and improving sleep quality, so as to reduce the risk of depression for college students.

AIM: To investigate the effect of low-dose aspirin on primary prevention of non-fatal myocardial and cerebral infarction in patients with type 2 diabetes mellitus. METHODS: From January 2015 to December 2016,40-90 years old patients with type 2 diabetes were treated in the Department of Endocrinology of Yijishan Hospital of Wannan Medical College for more than 2 times (the interval of hospitalization was more than 3 months) , we use the hospital's his system to search out-patient and in-patient files, patients were divided into aspirin group and non-aspirin group according to the use of low-dose aspirin within 1 year after the first visit, the basic data of the first visit were collected: name, sex, age, course of diabetes, systolic and diastolic blood pressure, patients were recorded for laboratory markers including fasting blood glucose, glycated hemoglobin, triglyceride, total cholesterol, Low-density lipoprotein, high-density lipoprotein, creatinine, and platelets, complications such as hypertension, coronary heart disease, atrial fibrillation, hyperlipidemia, diabetic nephropathy and arteriosclerosis were recorded. A Chi square test and a Cox proportional hazard model were used to compare baseline data and cerebrovascular disease after the first use of aspirin. RESULTS: Of the 4 176 patients, 2 137 were type 2 diabetes, 417 were eligible for admission, including 198 males, 219 females, 224 aspirin users and 193 non-users. There was no significant difference in the incidence of cerebral infarction between the aspirin group and the non-aspirin group (χ2=0.820, P=0.365). The incidence of non-fatal myocardial infarction was lower than that of the aspirin non-aspirin group (χ2=10.099, P=0.01) , the incidence of massive hemorrhage was significantly higher than that of aspirin-free group χ2=5.425, P=0.020) . In a subgroup analysis of aspirin use, patients younger than 60 years of age had a lower incidence of ischemic stroke (cerebral infarction) and a risk ratio of 0.428 (95%CI: 0.255-0.719, P=0.001) compared with patients older than 60 years of age, the incidence of cerebral infarction was higher in female patients with a risk ratio of 1.574 (95%CI: 1.018-2.434, P=0.041). CONCLUSION: In this study of patients with type 2 diabetes, low-dose aspirin reduced the incidence of nonfatal myocardial infarction but had no significant effect on the incidence of nonfatal ischemic stroke, and significantly increase the incidence of major bleeding events, we should reconsider the use of low-dose aspirin as a potential benefit of nonfatal cerebral infarction in patients with type 2 diabetes.

Objective: To investigate the sleep quality and influencing factors of the first batch of college students returning to school during COVID-19 epidemic, so as to provide scientific basis for taking corresponding measures. Methods: An anonymous self-administered questionnaire survey was conducted among the first batch of college students returning from a certain university by cluster sampling, which included general demographic characteristics, Trait Coping Style Questionnaire (TCSQ) and Pittsburgh Sleep Quality Index(PSQI). Results: The detection rate of sleep disorders was 19.33%(522/2 701). The mother s education level was high school or technical secondary school or below(OR=2.24, 95%CI=1.47-3.41), never eat breakfast(OR=3.25, 95%CI=1.86-5.68), families were damaged during the outbreak (OR=1.48, 95%CI=1.17-1.87) and negative coping (OR=1.15, 95%CI=1.12-1.17) were risk factors for sleep disorders(P<0.05). Compared to having a very poor relationship with parents, the relationship between parents was average(OR=0.23, 95%CI=0.06-0.89), better(OR=0.23, 95%CI=0.06-0.87), very good (OR=0.19, 95%CI=0.05-0.74) were protective factors for sleep disorders(P<0.05). Exercise once or twice a week during the epidemic(OR=0.76, 95%CI=0.58-1.00), positive coping (OR=0.93, 95%CI=0.91-0.96) were protective factors for sleep disorders(P<0.05). Conclusion In this COVID-19 epidemic, the sleep quality of returning college students was affected to different extent, and the relationship between parents, sports, mother s education, breakfast habits, and family damage during the COVID-19 were factors affecting their sleep quality. Targeted psychological intervention measures should be given to returning college students in the early stage.

Objective: To examine the status of self-harm, depression and anxiety and to analyze the relation of self-harm with depression and anxiety in college students. Methods: Totally 9 638 college students were randomly selected from five universities in Anhui province using stratified cluster sampling and were surveyed with basic demographic characteristics, Depression Self Rating Scale (SDS), Self-evaluation of Anxiety Scale (SAS) and self-harm behavior questionnaire. Results: The detection rate of self-harm among college students was 22.94%(2 211), boys (24.51%) were higher than girls(21.72%), the difference was statistically significant(χ2=10.46, P<0.05). The detection rate of depression was 28.57%(2 754). The detection rate of anxiety was 11.11%(1 071). The detection rate of self-harm in the depression group was 33.48%, which was significantly higher than those without depression group(18.72%)(χ2=242.22, P<0.01). The similar results were found in the anxiety analysis, students with anxiety showed higher detection rate in self-harm (48.74%) than those without anxiety (19.72%)(χ2=453.66, P<0.01). Both depression and anxiety were positively associated with self-harm behaviors(r=0.24, 0.27, P<0.01). Multivariate Logistic regression model found that after covariates controlled, depression(OR=1.48) and anxiety (OR=2.84) were positively associated with self-harm of college students(P<0.05). Conclusion Self-harm, depression and anxiety among college students in Anhui Province are at a high level, and a positive correlation between self-harm behaviors and depression and anxiety is observed. Attention should be paid to the mental health education of college students.

OBJECTIVES: Glioma is the most common intracranial primary tumor in central nervous system. Glioma grading possesses important guiding significance for the selection of clinical treatment and follow-up plan, and the assessment of prognosis. This study aims to explore the feasibility of logistic regression model based on radiomics to predict glioma grading. METHODS: Retrospective analysis was performed on 146 glioma patients with confirmed pathological diagnosis from January, 2012 to December, 2018. A total of 41 radiomics features were extracted from contrast-enhanced T RESULTS: A total of 5 imaging features selected by LASSO were used to establish a logistic regression model for predicting glioma grading. The model showed good discrimination with AUC value of 0.919. Hosmer-Lemeshow test showed no significant difference between the calibration curve and the ideal curve ( CONCLUSIONS The logistic regression model using radiomics exhibits a relatively high accuracy for predicting glioma grading, which may serve as a complementary tool for preoperative prediction of giloma grading.
Brain Neoplasms/diagnostic imaging* ; Glioma/diagnostic imaging* ; Humans ; Logistic Models ; Magnetic Resonance Imaging ; ROC Curve ; Retrospective Studies

Objective: The purpose of this cross-sectional survey is to explore the current state of Internet addiction (IA) in Chinese medical students and its connection with medical students’ sleep quality and self-injury behavior. Methods: Respondents were came from Wannan Medical College, China. The Young’s Internet Addiction Test, Pittsburgh Sleep Quality Index (PSQI), Self-Harm Questionnaire were used in this cross-sectional survey. A total of 3,738 medical students were investigated, 1,552 (41.52%) males, 2,186 (58.48%) females. T-test, chi-square test and MANOVA were used for data analysis. Results: Of the 3,738 medical students, 1,054 (28.2%) reported having IA, 1,126 (30.1%) reported having poor sleep quality, 563 (15.1%) having self-harm behaviors. IA tends to be more female, upper grade students. The sleep quality of IA was worse than that of non-IA (χ2=54.882, p<0.001), and the possibility of self-injury was higher than non-IA (χ2=107.990, p<0.001). Conclusion This survey shows that the IA detection rate of medical students was 28.2%. Females, higher grade students had a higher IA detection rate. The low sleep quality and self-injury behavior of medical students are associated with IA.

To explore the feasibility and efficacy of artificial neural network for differentiating high-grade glioma and low-grade glioma using image information.
 Methods: A total of 130 glioma patients with confirmed pathological diagnosis were selected retrospectively from 2012 to 2017. Forty one imaging features were extracted from each subjects based on 2-dimension magnetic resonance T1 weighted imaging with contrast-enhancement. An artificial neural network model was created and optimized according to the performance of feature selection. The training dataset was randomly selected half of the whole dataset, and the other half dataset was used to verify the performance of the neural network for glioma grading. The training-verification process was repeated for 100 times and the performance was averaged.
 Results: A total of 5 imaging features were selected as the ultimate input features for the neural network. The mean accuracy of the neural network for glioma grading was 90.32%, with a mean sensitivity at 87.86% and a mean specificity at 92.49%. The area under the curve of receiver operating characteristic curve was 0.9486.
 Conclusion: As a technique of artificial intelligence, neural network can reach a relatively high accuracy for the grading of glioma and provide a non-invasive and promising computer-aided diagnostic process for the pre-operative grading of glioma.
Brain Neoplasms ; diagnostic imaging ; pathology ; Glioma ; diagnostic imaging ; pathology ; Humans ; Magnetic Resonance Imaging ; Neoplasm Grading ; Neural Networks, Computer ; ROC Curve ; Retrospective Studies ; Sensitivity and Specificity

Objective To observe the effects of percutaneous endoscopic gastrostomy (PEG)on mortality and complications in patients with persistent dysphagia after stroke using a points scoring system for selecting PEG indication.Methods A total of 75 patients were divided into low score group without PEG,high score group without PEG and low score group with PEG (n=25 each).The follow-up period was 18 months,and the differences in complications,mortalities and survival periods among groups were compared.Results The number of times of aspiration pneumonia was (1.36± 1.44) in low score group,(1.96±2.28) in high score group,(0.36±0.64) in low score group with PEG,with statistically significant differences among three groups (H=7.148,P=0.028).No difference in the morbidity of aspiration pneumonia was found between low score group and high score group (P=0.189).The number of times of aspiration pneumonia was decreased in low score groups after PEG versus in low score group without PEG (P=0.030) and in high score group (P＜0.01).The numberof times of gastrointestinal hemorrhage was (0.48± 0.77)in low score group,(0.64± 0.91) in high score group,(0.12±0.33) in low score group with PEG,with statistically significant differences among three groups (H=5.532,P =0.063).No statistically significant difference in gastrointestinal hemorrhage was found between low score groups and low score group after PEG (P=0.430),as well as between low score group and low score group with PEG (P=0.079).The morbidity of gastrointestinal hemorrhage was lower in low score group than in high score group (P=0.012).The survival rate at the observation end was 88.0％ (22/25),52.0％ (13/25) and 92.0％ (23/25) in low score group,high score group and low score group with PEG,respectively,with statistically significant difference among the three groups (x2 =7.906,P =0.001).Kaplan-Meier survival curve showed that the survival period were longer in the low score group with or without PEG than in high score group (P＜0.01),but no statistically significant difference was found between low score groups with or without PEG (P=0.626).Conclusions The reasonable evaluation using a points-scoring system before PEG might predict the prognosis of such patients:the higher score would indicate higher mortality.PEG operation for low score group with better condition could decrease the aspiration pneumonia and decrease gastrointestinal hemorrhage significantly,but could not prolong general survival time and decrease general mortality.

Hepatocellular carcinoma (HCC) is still one of common malignant cancers worldwide, with increasing incidence and mortality rates. Early diagnosis and effective treatment for HCC remain to be explored. This article introduces the research advances in the early specific diagnosis and effective therapies for HCC in 2016, such as molecular markers in the specific diagnosis and targeted therapy for HCC, main therapeutic regimens, robot-assisted liver resection, and no-touch radiofrequency ablation.