Objective We aimed to investigate the role of McMaster model of family therapy in improving family function of patients with advanced hepatocellular carcinoma (HCC).Methods Patients who had advanced HCC and received transarterial embolization (TAE) or transarterial chemoembolization (TACE) from Department of Hepatobiliary Ⅰ,Eastern Hepatobiliary Surgery Hospital between October 1,2012 and June 25,2013 were randomly divided into two groups:the experimental group (51 patients) and the control group (49 patients).The control group received routine family support education.The experimental group not only executed routine family support education,but also was given McMaster model of family therapy according to evaluation results of family assessment device (FAD) on the second and third day of hospitalization.The status of family function of all patients were assessed by FAD on the fnrst day of hospitalization and fourth week after therapy.We compared the status of family function between the two groups.Results In age,gender,educational level,place of residence,occupation,family economic status,medical payment,liver or kidney function,HBV infection,cirrhosis and tumor burden,no statistical differences were found between the experimental group and the control group patients before TAE or TACE.Two groups were dysfunction in communication,roles,affective responsiveness,affective involvement,behavior control,and general function in addition to problem solving before TAE or TACE.No statistical differences were found between two groups.After the therapy,compared with the control group,those patients in the experimental group had a lower level scoring in communication,roles,affective responsiveness,affective involvement,behavior control,and general function in addition to problem solving on the fourth week after the therapy,t value was-2.544,-3.767,-3.904,-2.848,-4.950 and-4.953,the difference had statistical significance.Conclusions McMaster model of family therapy may help to improve family function of patients with advanced HCC.

Objective:The regional emergency system needs to maintain normal operation in disasters and sudden public health events, ensuring the timely treatment of critically ill patients, and also bearing the responsibility of ensuring various large-scale sports events. This article explores the practice of the "three-dimensional closed-loop" emergency system in the guarantee of the Hangzhou Asian Games in Wenzhou.Methods:After analyzing and integrating existing medical resources, the First Hospital Affiliated to Wenzhou Medical University conducted a two-year medical emergency exercise in a simulated urban road and natural water environment, and improved and optimized the weak links in the medical security system.Results:The hospital established a "three-dimensional closed-loop" emergency system and completed the medical support tasks for the Asian Games. The "three-dimensional closed-loop" emergency rescue system adopted a three-dimensional management team that combined a decentralized organizational structure and a professional medical team, and also has a land-air-sea emergency rescue team. By combining manpower and information technology, the system could provide "4R" medical services: real-time perception of medical emergencies in venues, rapid assessment of the patient's condition, rapid transfer of patients and rapid deployment of medical forces within the hospital. In addition, closed-loop management of the hospital's diagnosis and treatment process improved patients' satisfaction during the treatment process.Conclusions:The the "three-dimensional closed-loop" emergency system provided a strong guarantee for the successful holding of the Hangzhou Asian Games in Wenzhou and also accumulates experience for future urban emergency rescue.

Objective:To improve the performance of ECG arrhythmia classification algorithm and provide auxiliary basis for clinical ECG diagnosis.Methods:The one-dimensional ECG data was segmented according to the R point, and the segmented data was generated into a 2D image. The samples were expanded by data augmentation technology, and the image features were extracted by the 2D convolutional layer, 2D maximum pooling layer, Flatten layer and fully connected layer in 2D-CNN. Then, the samples were classified with Softmax classifier. The loss function with weight coefficients was used to enhance the model's learning of class S and class V. The MIT-BIH data set was used for model training and algorithm performance evaluation.Results:Sample expansion and the use of loss functions with weight coefficients can improve the recall rate and specificity index of the model, while maintaining the model's accuracy index of the classificatio on VEB and SVEB.Conclusions:The accuracy of the proposed model is 99.02%, and the recall rate of SVEB is 96.4%, indicating that this classification method can assist medical staff in diagnosing heart diseases.

Objective:To explore the influencing factors of severity of upper gastrointestinal bleeding (UGIB) and to establish the early warning evaluation model in the form of line chart, so as to provide a feasible basis for emergency nurses' triage.Methods:A total of 680 UGIB patients admitted to the Emergency Department of the First Affiliated Hospital of Wenzhou Medical University from January 2019 to January 2020 were retrospectively analyzed. They were divided into a modeling group ( n=510) and a validation group ( n=170) by random number table method, and were divided into a high-risk group and a low-risk group according to the expert Consensus on Emergency Diagnosis and Treatment Procedures for Acute Upper Gastrointestinal Bleeding in 2020. The differences of various indicators between groups were compared, the factors affecting the severity of the disease were analyzed by Logistic regression, and the nomogram was drawn and validated. Results:Multivariate logistic regression analysis showed that hematemesis ( OR=3.875, 95% CI: 2.212-6.79), diabetes ( OR=2.64, 95% CI: 1.184-5.883), syncope ( OR=10.57, 95% CI: 3.675-30.403), heart rate ( OR=3.262, 95% CI: 1.753-6.068), red blood cell distribution width ( OR=3.904, 95% CI: 2.176-7.007), prothrombin time ( OR=3.665, 95% CI: 1.625-8.269), lactic acid ( OR=3.498, 95% CI: 1.926-6.354) and hemoglobin ( OR=4.984, 95% CI: 2.78-8.938) were the influencing factors of the severity of UGIB patients ( P < 0.05). The nomogram model showed good consistency and differentiation (C-index=0.903, 95% CI: 0.875-0.931), and was verified internally (C-index=0.895) and Hosmer-Lemeshow goodness-of-fit test ( P=0.7936). Externally verified C-index was 0.899 (95% CI: 0.846-0.952). The calibration curve prompt warning evaluation model had good stability and the prediction efficiency was better than the modified early warning score ( P < 0.05). Conclusions:The early warning evaluation model has a reliable predictive value, which can provide a reference for emergency medical staff to screen high-risk patients and formulate targeted nursing interventions.