Objective To evaluate the effect of rosiglitazone on insulin resistance and hyperandrogenism in polycystic ovary syndrome (PCOS) Methods Rosiglitazone was given 4 mg daily to 30 patients with PCOS for 12 weeks Before and after treatment, body mass index(BMI), plasma glucose, insulin, levels insulin resistance index (HOMA IR), blood lipid spectrum, leptin, neuropeptide Y, and sex hormone concentrations and ovulation rate were determined and compared Results After 12 weeks of treatment, basal insulin level decreased from (18?8) to (12?7) mIU/L ( P

Objective To explore the association of the Arg64 polymorphism β-3-adrenergic receptor(β3-AR) gene with polycystic ovary syndrome(PCOS)and its characterization with obesity,insulin resistance(IR)，blood pressure (BP), blood lipid spectrum. Methods The polymorphism of the β-3-AR gene was determined in 163 patients with PCOS and 100 controls. Body mass index(BMI), waist to hip circumference ratio(WHR), BP were examined. Blood glucose,blood lipid spectrum,insulin were also measured. Insulin resistance index was calculated. Results The frequency of Arg64 allele in PCOS women was significantly higher than that of controls(0.33 vs 0.13 respectively, P<0.05). Fasting insulin, insulin resistance index, WHR in Arg64 group were significantly higher than those of Trp64 group. The frequency of Arg64 allele was positively correlated with FINS, insulin resistance index, WHR. Conclusion The Arg64 mutation in the β-3-adrenergic receptor(β-3-AR) gene might contribute to development of PCOS and IR.

Objective To explore the diagnostic consistency and correlation between MR discography (MRD) and CT discography (CTD) in diagnosing chronic low back pain. Methods Guided by C - arm fluoroscopy the mixed solution of gadoterate meglumine (GD-DOTA) and Iohexol (GD-DOTA at a dilution of 1 ∶ 400 with Iohexol) was injected into 96 lumbar intervertebral discs of the 36 patients. CT scanning was performed at 15 minutes after the injection of contrast, and axial together with sagittal SE T1WI MR scanning was carried out one hour after the injection. CTD and MRD images were randomly numbered and were independently evaluated by two experienced radiologists according to Dallas discogram scale in order to assess the diagnostic consistency and correlation between (MRD) and (CTD). In addition the diagnostic value of MRD was evaluated. Results The results revealed that in determining disc degeneration grade CTD and MRD were highly consistent with each other(Kappa = 0.836, P < 0.01), and the diagnostic results judged by the two reviewers were essentially in agreement (ICC = 1.00, P < 0.01; r = 0.997, P < 0.01). Higher consistency (Kappa = 0.836, P < 0.01) and correlation(ICC = 0.90, P < 0.01; r = 0.869, P < 0.01; Kappa =0.836, P < 0.01) in determining annulus rupture extent were also obtained. Conclusion MRD is an accurate diagnostic method for the determination of disc degeneration and the severity of annulus rupture, and this technique has greater consistency and correlation with CTD in diagnosing chronic low back pain.

Objective: To to describe the prevalence of cyberbullying and its relation with suicide among college students in Taiyuan,and to provide scientific basis for promoting the physical and mental health of teenagers. Methods: Using the method of multi-stage stratified random cluster sampling, a total of 4 012 people were randomly selected from 2 colleges (departments) in sophomore and junior years of 6 universities in Shanxi Province during May to Jul.2018, and the survey contents included basic demographic characteristics, internet usage, cyber bullying, and suicide behavior. Results: The total report rate of cyberbullying among college students was 19.42%, among which the report rates of cyberbullying vicitimization cyberbullying and both cyberbulling penetration and victimization were 1.60%,11.49％ and 6.16％(247/4 012), respectively.The overall reported rate of suicidal behavior was 10.87%(436/4 012).Logistic analysis indicated that cyberbullying victimization,as well as cyberbulling penetration and victimization were risk factors for suicidal behavior（OR=1.82，2.97，P<0.05). Conclusion Cyberbullying behaviors of college students, especially those who suffer from cyberbullying or the simultaneous implementation and suffering of cyberbullying, may increase the risk of suicide. Therefore, while reducing the occurrence of cyberbullying, we should pay more attention to the mental health of students suffering from cyberbullying and reduce the occurrence of health-risk behaviors such as suicide.

Objective:To explore the value of radiomics model based on intratumoral and peritumoral early dynamic contrast-enhanced (DCE) MRI for identifying benign and malignant in breast imaging reporting and data system (BI-RADS) 4 tumors.Methods:A total of 191 patients diagnosed with BI-RADS 4 breast tumors by breast MRI examination with clear pathological diagnosis from January 2016 to December 2020 in the First Affiliated Hospital of Bengbu Medical College were analyzed retrospectively, including 77 benign and 114 malignant cases, aged 23-68 (46±10) years. The one-slice image with the largest area of the lesion of the second stage DCE-MRI images was selected to outline the region of interest, and automatically conformal extrapolated by 5 mm to extract the intra-tumoral and peritumoral radiomics features. The included cases were randomly divided into training and testing cohorts in the ratio of 8∶2. The statistical and machine learning methods were used for feature dimensionality reduction and selection of optimal radiomics features, and logistic regression was used as the classifier to establish the intratumoral, peritumoral, and intratumoral combined with peritumoral radiomics models. The independent risk factors that could predict the benignity and malignancy of breast tumors were retained as clinical-radiological characteristics by univariate and multivariate logistic regression to establish a clinical-radiological model. Finally, the intratumoral and peritumoral radiomics features were combined with clinical-radiological features to develop a combined model of the three. The receiver operating curve was used to analyze the predictive performance of each model and calculate the area under the curve (AUC),the AUC was compared by DeLong test. The stability of the three-component combined diagnostic model was tested by 10-fold cross-validation, and the model was visualized by plotting nomogram and calibration curves.Results:In the training cohort, the AUC of the three-component combined model for identifying benign and malignant BI-RADS 4 breast tumors was significantly higher than that of the intratumoral radiomics model ( Z=3.38, P<0.001), the peritumoral radiomics model ( Z=4.01, P<0.001), the intratumoral combined with peritumoral radiomics model ( Z=3.11, P=0.002), and the clinical-radiological model ( Z=3.24, P=0.001). And the AUC, sensitivity, specificity, accuracy, and F1-score of the three-component combined model were 0.932, 91.2%, 86.9%, 87.0% and 0.89, respectively. In the testing cohort, the three-component combined model also had the highest AUC value (0.875), and diagnostic sensitivity, specificity, accuracy and malignancy F1-score were 95.7%, 62.5%, 76.9%, and 0.89, respectively. The AUC calculated by 10-fold cross-validation was 0.90 (0.85-0.92), and the predicted curve of the three-component combined model in the calibration curve was in good agreement with the ideal curve. Conclusion:The three-component combined diagnostic model based on the intratumoral and peritumoral radiomics features and clinical-radiological features of early DCE-MRI has good performance and stability for identifying the benign and malignant in BI-RADS 4 breast tumors, and it can provide guidance for clinical decision non-invasively.

Objective     To analyze the clinical characteristics of the Guang’an Omicron epidemic and summarize the management experiences and practices in pandemic prevention and control of major infectious diseases. Methods     Retrospective analysis was performed on patients infected with coronavirus disease (COVID-19), afterwards treated and observed in the isolation ward of Guang’an People’s Hospital and the shelter of Guang’an City from May 9 to June 26, 2022. The characteristics of patients at different age stages and the related factors affecting the severity, re-positive and negative conversion was analyzed. Results     Finally 1 278 patients were collected, including 508 males and 770 females, with an average age of 41.3±22.6 years. Among them, 1 054 patients were asymptomatic carriers. The overall severe rate was 0.86%, the severe rate of the high-risk group was 3.06%. The median negative conversion time was 10.0 days and re-positive rate was 7.36%. Patients aged>60 years were 2.589 times more likely to have a longer negative conversion time than those aged≤60 years (95%CI 1.921-3.489, P<0.001). Conclusion     The clinical characteristics of Guang’an COVID-19 epidemic are mainly that the elderly with high risk factors are more likely to develop severe cases, have longer clearance time, and re-positve is more likely to occur.

Animals ; SARS-CoV-2 ; Antibodies, Neutralizing ; Macaca mulatta ; COVID-19/prevention & control* ; Antibodies, Viral ; Vaccines