Objective To compare the errors of double-center and single-center setup, and to study the role of both on reducing the rotational setup errors for the patients with esophageal carcinoma depend on rigid registration errors between online kV-cone-beam computed tomography (kV-CBCT) images and plans for CT images. Methods 20 patients with middle esophageal carcinoma received image scanning before treatment every week by using double-center setup and CBCT, and single-center setup images of 20 patients were taken from the X volume image (XVI) system. Then the images of both setup types, registration errors of CT image and rotational setup errors were compared respectively. Every patient received kV-CBCT scanning analysis before treatment every week, and 6 times in total. 240 group of kV-CBCT images from all of the patients were off-line matched with plans for CT images to calculate the errors of X-axis, Y-axis, Z-axis. Then the data of linear errors and rotational setup errors from patients were collected, aiming at putting the error data into the patients treatment program and analyzing the significances. Results The standard registration of double-center setup was as follows: T (X) (0.28 ±0.19) cm, T (Y) (0.27 ±0.19) cm, T (Z) (0.33 ±0.12) cm, R (X) (0.40 ±0.19)° , R (Y) (0.30 ±0.18)° , R (Z) (0.30 ±0.19)° . The standard registration of single-center setup was as follows:T(X) (0.32±0.20) cm, T(Y) (0.29±0.25)cm, T(Z) (0.31±0.16) cm, R(X) (2.2±0.68)°, R(Y) (0.5±0.32)°, R(Z) (2.10±0.60)°. There were statistical differences between linear errors in T(X) and rotational setup errors in R(X), R(Y) or R(Z) (P< 0.05). Conclusion Double-center position can reduce the rotational setup errors, especially in X-axis, Y-axis errors, and may provide more help for the radiation oncology departments without on-board CBCT.

Objective:Through the analysis of the ancient books for pectoral stuffiness pain, to explore the relevant Chinese herbal medicine prescriptions, the main syndrome factors corresponding to the prescriptions and the content of medication nursing.Methods:We used the database of Chinese Medical Code (5th Edition) as the data source, and established a database, extracted relevant contents. In the end we carried out statistical analysis and discussion.Results:Four main syndrome factors were extracted from the 102 kinds of prescriptions, which were cold coagulation, qi stagnation, blood stasis and turbid phlegm. The corresponding medication nursing measures mainly contained five aspects, including the temperature, time, frequency, solution of taking medicine and medication taboo. Among them, the temperature of taking medicine was mainly warm and hot; the time of taking medicine was mainly before eating, after eating, empty stomach, before breakfast, at noon, Before sleep and regardless of the time; the frequency of taking medicine was mainly two times a day, three times a day, three times a day and once a night; the solution of taking medicine was mainly wine, porridge, ginger decoction, orange peel decoction, Chen-pi decoction, vinegar decoction and so on; the medication taboo was mainly onions, pork, cold, cabbage, mutton and so on.Conclusion:The study of medication nursing for pectoral stuffiness pain based on the theory of syndrome factors is beneficial to promote the theoretical and clinical research for the disease. It can promote the standardization of medication nursing, improve the nursing staff's ability of syndrome differentiation nursing, and provide a reference for clinical medication nursing of Traditional Chinese Medicine.

Objective:To understand the research status and research hotspots of syndrome differentiation nursing of pectoral stuffiness pain(coronary disease), analyze its existing problems, and provide reference for the development of related research in the future.Methods:The China National Knowledge Infrastructure(CNKI) database was used as a data source to search for relevant literatures. We analyzed the authors, institutions and keywords with CiteSpace 5.3.R8 software, and drew the distribution map of the number of literature published by the related authors and institutions with GraphPad Prism 6.07 software.Results:A total of 356 articles were included in the study. The research power in the field of syndrome differentiation nursing of pectoral stuffiness pain(coronary disease) was mainly concentrated in the Affiliated Hospital of Liaoning University of Traditional Chinese Medicine. The researchers were mainly Lin Xiaoli and Yang Yuzhu. After clustering 58 keywords, 6 research hotspots of syndrome differentiation nursing for pectoral stuffiness pain(coronary disease) were discovered: importance of emotional nursing; exploration of different nursing forms; study of prognostic significance; embodiment of clinical application value; syndrome differentiation nursing of integrating Chinese and Western medicine; application of characteristic nursing technology of Traditional Chinese Medicine.Conclusions:Among the six research hotspots, the emotional nursing, syndrome differentiation nursing of integrating Chinese and Western medicine and application of characteristic nursing technology of Traditional Chinese Medicine are the research hotspots in recent years(2011-2018). In addition, in order to promote the progress and development of this field, it is necessary to strengthen cooperation and exchanges between authors and institutions, and conduct more in-depth research on the basis of existing research, constantly explore new research directions, and further improve the system of syndrome differentiation nursing.

Objective:To evaluate the role of hsa_circ_0025853 in hypothermia-induced reduction of oxygen-glucose deprivation and restoration (OGD/R) injury to neuroblastoma cells (SK-N-SH cells). Methods:SK-N-SH cells were cultured in vitro to the logarithmic phase and divided into 4 groups ( n=20 each) using a random number table method: control group (group C), group OGD/R, hypothermia group (group H) and hsa_circ_0025853 small interfering RNA (siRNA) plus hypothermia group (group S+ H). The cells were cultured in normal culture atmosphere in group C. The cells were subjected to OGD for 3 h followed by restoration of oxygen-glucose supply for 24 h in group OGD/R.The cells were subjected to OGD for 3 h followed by restoration of oxygen-glucose supply for 24 h at 32 ℃ in group H. The cells were transfected with siRNA at 48 h before establishing OGD/R model, and the other treatments were similar to those previously described in group H. At 24 h of restoration of oxygen-glucose, cell viability was measured by Cell Counting Kit-8, apoptosis rate were measured by flow cytometry.the expression of dynamin-related protein 1 (Drp1) mRNA and hsa_circ_0025853 was detected by quantitative real-time-polymerase chain reaction, and the expression of Drp1 protein was detected by Western blot. Results:Compared with group C, the cell viability was significantly decreased, the apoptosis rate of cells was increased, the expression of hsa_circ_0025853 was down-regulated, and the expression of Drp1 protein and mRNA was up-regulated in the other 3 groups ( P<0.05). Compared with group OGD/R, the cell viability was significantly increased, the apoptosis rate of cells was decreased, the expression of hsa_circ_0025853 was up-regulated, and the expression of Drp1 protein and mRNA was down-regulated in H and S+ H groups ( P<0.05). Compared with group H, the cell viability was significantly decreased, the apoptosis rate of cells was increased, the expression of hsa_circ_0025853 was down-regulated, and the expression of Drp1 protein and mRNA was up-regulated in group S+ H ( P<0.05). Conclusion:The mechanism by which hypothermia alleviates the OGD/R injury to SK-N-SH cells is related to the up-regulation of hsa_circ_0025853 expression, thus reducing the expression level of Drp1.

Objective:To develop and evaluate the Self-rating Identification Scale for Common Syndromic Elements of Coronary Heart Disease.Methods:The item pool of the Self-rating Identification Scale for Common Syndromic Elements of Coronary Heart Disease was formed through literature review and expert consultation. Items were screened by combining frequency, correlation coefficient, Cronbach's α coefficient and factor analysis. Subjective and objective weighting was used to determine the weight of items, and diagnostic threshold was determined by receiver operator characteristic curve. Cronbach's α coefficient and factor analysis were used to test the reliability and validity of the scale.Results:The Self-rating Identification Scale for Common Syndromic Elements of Coronary Heart Disease had a total of 6 syndrome elements and 36 items. It included 3 items of blood stasis, 9 items of phlegm, 7 items of Qi stagnation, 5 items of Qi deficiency, 6 items of Yin deficiency, and 6 items of Yang deficiency, and the diagnostic thresholds were 1.000, 45.300, 36.400, 66.600, 33.900, and 30.500 respectively. The test-retest reliability coefficients of each dimension of the scale were all greater than 0.7, and the internal consistency reliability coefficients of each dimension were 0.540 to 0.848. In the factor analysis, each variable with a common factor load coefficient greater than 0.4 was extracted, and the results were completely consistent with the scale entry settings. The cumulative variance contribution rate was 53.822%.Conclusions:The reliability and validity of the Self-rating Identification Scale for Common Syndromic Elements of Coronary Heart Disease are good, and it has scientific research and clinical application value.

Objective:To evaluate the usability of gamification coronary heart disease health management platform based on WeChat, so as to provide support for self-management of coronary heart disease patients.Methods:From November to December 2022, 10 patients with coronary heart disease who were treated at Dongzhimen Hospital of Beijing University of Chinese Medicine were selected using convenience sampling. The research subjects registered for the health management platform by scanning the QR code and underwent a 2-month trial experience. Two months later, researchers collected data from the platform and used a combination of questionnaire surveys and qualitative interviews to investigate the user's experience and feedback of the research subjects, in order to evaluate the usability of the platform.Results:Within two months, the health management platform had 226 visits, an average visit time of 26 minutes, and an availability questionnaire score of (71.8±2.8). The research subjects had an acceptable attitude towards the usability of this platform, had a good overall user experience, and had also provided improvement suggestions for the platform while they gained beneficial experiences.Conclusions:The gamification coronary heart disease health management platform based on WeChat has good usability, providing a feasible means for the health management of heart disease patients, and also providing reference for other chronic disease health management projects involving lifestyle changes and incentives.

Syndrome is a pathological generalization in the process of disease occurrence and development and any syndrome is composed of several "syndrome factors". This study systematically expounds the background, basic connotation, significance and current application research status of the "syndrome factors" theory of traditional Chinese medicine, and it emphasizes the important effect of the theory on the process of syndrome differentiation and treatment of traditional Chinese medicine. According to the guiding ideology of syndrome differentiation theory system of "syndrome factors" of traditional Chinese medicine, this study introduces the concept of "syndrome factors" into traditional Chinese medicine nursing, defines the concept of "nursing measures factors", regards it as the nursing unit for the pathogenesis unit, reflects the nursing methods and principles for the syndrome pathogenesis unit and further clarifies the corresponding relationship between syndrome and nursing. The study attempts to explore a nursing system based on the "nursing measures factors" so as to improve the ability of syndrome differentiation and nursing of nursing staff and promote the standardization of traditional Chinese medicine nursing.

Objective:To investigate the use intention of patients with coronary heart disease for mobile health and understand needs of patients for gamification design of mobile health platform, in order to improve the self-management level of patients with coronary heart disease by building a gamified mobile health platform.Methods:Using the convenient sampling method, a total of 181 hospitalized patients with coronary heart disease (CHD) in Department of Cardiology from July to September 2020 (3 hospitals in Beijing and 1 hospital in Heilongjiang Province) were selected as research objects. Questionnaire on the usage needs of mobile health platform for coronary heart disease was used to investigate them.Results:Only 8 of the 181 patients (4.42%) used cardiac mobile health, and 113 (62.43%) patients never used cardiac mobile health but would consider using it. But 60 (33.15%) patients never used cardiac mobile medical experience and said that they won' t use it in the future, and the reasons included operation, language, safety, need awareness and health concerns. Among 121 patients with coronary heart disease, the top three requirements for gamification design were human-computer interaction encouragement and company (32.23%) , completion of tasks to exchange for real prizes (30.58%) and health ranking (28.10%) .Conclusions:Based on needs of patients, an easy-to-use, scientific and readable gamified mobile health platform for coronary heart disease should be built, mobile health publicity should be increased, and the continuous use rate of the mobile health platform and the self-management of patients should be improved.

Objective:To investigate the value of nomogram based on intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) and MRI-derived radiomics for predicting recurrence after concurrent chemoradiotherapy (CCRT) in patients with locally advanced cervical cancer (LACC).Methods:Clinical data of 111 patients with ⅠB-ⅣA cervical cancer who underwent CCRT at Anhui Provincial Hospital from December 2014 to December 2019 and were continuously followed up were retrospectively analyzed. Pre-treatment IVIM-DWI parameters (ADC, D, D * and f) and pre- and post-treatment 3D texture parameters (from axial T 2WI) of the primary lesions were measured. Least absolute shrinkage and selection operator (LASSO) algorithm and multivariate logistic regression analysis were used to filter texture features and calculate radiomics score (Rad-score). A Cox regression model was used to analyze independent risk factors for recurrence after CCRT in patients with LACC and construct a nomogram. Results:External beam radiotherapy dose, f value , pre-treatment Rad-score and post-treatment Rad-score ( HR=0.204, 3.253, 2.544, 7.576) were the independent prognostic factors for recurrence after CCRT in cervical cancer patients and jointly formed the nomogram. The area under curve (AUC) of the nomogram for predicting 1-, 3- and 5-year disease-free survival (DFS) was 0.895, 0.888 and 0.916, with internal validation C-indexes of 0.859, 0.903 and 0.867, respectively. The decision curves analysis showed that the nomogram has a higher net clinical benefit compared to other models, and the clinical impact curves further visualized its predictive accuracy. Conclusions:The nomogam based on IVIM-DWI and radiomics has high clinical value in predicting recurrence after CCRT in patients with LACC, providing reference for prognostic assessment and individualized treatment of cervical cancer patients.

Objective:To investigate the value of nomograms based on clinical parameters, apparent diffusion coefficient (ADC) and MRI-derived radiomics in predicting survival of patients with locally advanced cervical cancer (LACC) after concurrent chemoradiotherapy (CCRT).Methods:Clinical data of 423 patients with IB-IVA cervical cancer treated with CCRT at Anhui Provincial Hospital Affiliated to Anhui Medical University from March 2014 to March 2020 were retrospectively analyzed and randomly divided into the training and validation groups at a ratio of 2∶1 using the simple randomization method. The values of ADC min, ADC mean, ADC max and 3D texture parameters of diffusion weighted imaging (DWI), T 2WI, T 2WI-fat suppression of pre-treatment primary lesions in all patients were measured. The least absolute shrinkage and selection operator (LASSO) algorithm and logistic regression analysis were used to screen the texture features and calculate radiomics score (Rad-score). Cox regression analysis was employed to construct nomogram models for predicting overall survival (OS) and cancer-specific survival (CS) of patients with LACC after CCRT, which were subject to internal and external validation. Results:Squamous cell carcinoma antigen (SCC-Ag), external beam radiotherapy dose, ADCmin and Rad-score were the independent prognostic factors for OS and CS of LACC patients after CCRT and constituted predictive models for OS and CS. The area under the receiver operating characteristic (ROC) curve (AUC) of two models in predicting 1-year, 3-year, 5-year OS and CS was 0.906, 0.917, 0.916 and 0.911, 0.918, 0.920, with internally validated consistency indexes (C-indexes) of 0.897 and 0.900. Then, models were brought into the validation group for external validation with AUC of 0.986, 0.942, 0.932 and 0.986, 0.933, 0.926 in predicting 1-year, 3-year, 5-year OS and CS.Conclusion:The nomograms based on clinical parameters, ADC values and MRI-derived radiomics are of high clinical value in predicting OS and CS of patients with LACC after CCRT, which can be used as prognostic markers for patients with cervical cancer to certain extent.