Objective To investigate the role of vascular endothelial cell growth factor (VEGF), nm23 and microvessel density (MVD) in the pathogenesis of malignant melanoma(MM). Methods The specimens from forty-seven cases of malignant melanoma and 10 cases of melanocytic nevus were examined for VEGF, nm23 and CD34 by immunohistochemistry. The density of microvessels was calculated. Results Positive VEGF expression rate and MVD in malignant melanoma were significantly higher than those in melanocytic nevus(both P

Objective To investigate the role of serum specific IgE(sIgE)antibodies,autoantibody and contact allergens in the pathogenesis of urticaria and the possible correlation among them.Methods The serum sIgE antibodies,autoantibody and contact allergens were tested by IVT kit,autologous serum test-ing and patch testing in145cases of urticaria.Results72.4%(84/116)of patients were positive with spe-cific IgE antibodies,among them13.8%(16/116)were strongly positive.37.7%(20/53)patients were pos-itive with autologous serum testing.In twenty-six patients the above two antibodies were tested.Specific IgE antibodies were found to be strongly positive in4(33.3%)of12patients with negative autologous testing,while in none of14patients with positive autologous testing.Patch testing was performed in21patients with chronic urticaria,90.5%(19/21)patients were positive to15of20allergens tested.Conclusion The pathogenesis of urticaria is complicated,which may include allergy to food,aeroallergens,contact allergens,as well as autoimmunity.Different allergic reactions may be present in the same individual.Contact allergens may be the factor responsible for contact urticaria.

Objective To establish simple screening models for nonalcoholic fatty liver disease (NAFLD) in the adult Blang population. Methods Based on the survey data of metabolic diseases in the Blang people aged 18 years or above in 2017, 2993 respondents were stratified by sex and age (at an interval of 5 years) and then randomly divided into modeling group with 1497 respondents and validation group with 1496 respondents. Related information was collected, including demographic data, smoking, drinking, family history of diseases and personal medical history, body height, body weight, waist circumference, and blood pressure, and related markers were measured, including fasting plasma glucose, 2-hour postprandial plasma glucose or blood glucose at 2 hours after glucose loading, triglyceride, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl transpeptidase. The chi-square test was used for comparison of categorical data between two groups. Logistic regression analysis was used to establish the screening model. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, positive predictive value, and negative predictive value were used to evaluate the screening performance of established models versus existing models in the study population, and the DeLong method was used for comparison of AUC. Results Three screening models for NAFLD were established based on physical and biochemical measurements, i.e., simple noninvasive model 1 (age, body mass index, and waist circumference), noninvasive model 2 with the addition of blood pressure, and model 3 with the combination of hematological parameters (diabetes and ALT/AST). In the modeling group, the three models had an AUC of 0.881 (95% confidence interval [ CI ]: 0.864-0.897), 0.892 (95% CI : 0.875-0.907), and 0.894 (95% CI : 0.877-0.909), respectively, and there was a significant difference between model 1 and models 2/3 ( P =0.004 0 and P < 0.001); in the validation group, the three models had an AUC of 0.891 (95% CI : 0.874-0.906), 0.892 (95% CI : 0.875-0.907), and 0.893 (95% CI : 0.876-0.908), respectively, and there was no significant difference between the three groups ( P > 0.05). Based on the overall consideration of screening performance, invasiveness, and cost, the simple noninvasive model 1 was considered the optimal screening model for NAFLD in this population. Model 1 had the highest Youden index at the cut-off value of 5 points, and when the score of ≥5 points was selected as the criteria for NAFLD, the model had a sensitivity of 86.5%, a specificity of 79.7%, a positive predictive value of 50.3%, and a negative predictive value of 96.1% in the modeling group and a sensitivity of 85.6%, a specificity of 80.6%, a positive predictive value of 51.7%, and a negative predictive value of 95.8% in the validation group. Conclusion The NAFLD screening models established for the adult Blang population based on age and obesity indicators have relatively higher sensitivity, specificity, and negative predictive value, and this tool is of important practical significance for the intervention of NAFLD and its closely related metabolic diseases in this population.