Objective:To analyze the correlation between cuproptosis genes and immune infiltration during the occurrence and development of multiple sclerosis(MS),and to predict the traditional Chinese medicine,to provide theoretical basis for the mecha-nism study of cuproptosis in MS immune infiltration and Chinese medicine to intervene in immune regulation.Methods:The gout chip of MS was downloaded from the GEO database and standardized;based on the processed data,immune cells and functions were ex-tracted and quantified,and the correlation and differences of immune cells and functions were analyzed;at the same time,cuproptosis genes related to MS were screened out,a risk model was constructed,and enrichment analysis was carried out;the prediction of cu-proptosis genes and immune-related biological processes were carried out.Results:① Among immune cells,T follicular helper cell and B cell showed the strongest positive correlation;among the immune functions,parainflammation and typeⅠIFN reponse showed the strongest positive correlation;②B cell,T helper cell and human leukocyte antigen were lowly expressed in MS patients,while major histocompatibility complex class Ⅰ,parainflammation and typeⅠIFN response were significantly expressed;③ The cupropto-sis genes associated with MS were SLC31A1,PDHA1,NLRP3,MTF1,GLS and DBT,of which DBT was the most likely risk factor for MS;④The occurrence and development of MS involves biological processes such as IL-4 production,T-helper cell differentiation,and acute inflammatory response,which were related to pathways such as arginine biosynthesis,citrate cycle,and propanoate metabo-lism;⑤Banxia,Danshen,Jianghuang and other traditional Chinese medicines may be used as potential molecular drug sources.Con-clusion:The expression of cuproptosis gene is closely related to MS-related immune cells and functions,which can provide support for the basic research of MS.

Objective: To determine the active components of Eupolyphaga sinensis Walker (Tu Bie Chong) and explore the mechanisms underlying its fracture-healing ability. Methods: A modified Einhorn method was used to develop a rat tibial fracture model. Progression of bone healing was assessed using radiological methods. Safranin O/fast green and CD31 immunohistochemical staining were performed to evaluate the growth of bone cells and angiogenesis at the fracture site. Methylthiazoletetrazolium blue and wound healing assays were used to analyze cell viability and migration. The Transwell assay was used to explore the invasion capacity of the cells. Tubule formation assays were used to assess the angiogenesis capacity of human vascular endothelial cells (HUVECs). qRT-PCR was used to evaluate the changes in gene transcription levels. Results: Tu Bie Chong fraction 3 (TF3) significantly shortened the fracture healing time in model rats. X-ray results showed that on day 14, fracture healing in the TF3 treatment group was significantly better than that in the control group (P = .0086). Tissue staining showed that cartilage growth and the number of H-shaped blood vessels at the fracture site of the TF3 treatment group were better than those of the control group. In vitro, TF3 significantly promoted the proliferation and wound healing of MC3T3-E1s and HUVECs (all P < .01). Transwell assays showed that TF3 promoted the migration of HUVECs, but inhibited the migration of MC3T3-E1 cells. Tubule formation experiments confirmed that TF3 markedly promoted the ability of vascular endothelial cells to form microtubules. Gene expression analysis revealed that TF3 significantly promoted the expression of VEGFA, SPOCD1, NGF, and NGFR in HUVECs. In MC3T3-E1 cells, the transcript levels of RUNX2 and COL2A1 were significantly elevated following TF3 treatment. Conclusion TF3 promotes fracture healing by promoting bone regeneration associated with the RUNX2 pathway and angiogenesis associated with the VEGFA pathway.

ObjectiveTo analyze the disease burden in Sichuan Province in 2010 and 2020， and to provide reference for disease prevention and control. MethodsMonitoring data on causes of death in Sichuan Province in 2010 and 2020 were collected. Disability-adjusted life years （DALY）， years of life lost （YLL） and years lived with disability （YLD） were calculated to assess the disease burden in Sichuan Province. ResultsIn 2020， DALY was 7.004 0 million years， among which YLL and YLD were 3.719 6 million and 3.284 4 million， respectively. Compared with 2010， the total DALY in 2020 increased by 8.27%， most of which came from the increase of YLL （16.66%）. In 2020， the standardized total DALY rate was 69.91‰， which decreased by 9.87% compared with 2010. Specifically， the rate decreased by 15.87% for females and 5.28% for males. In 2020， the burden of DALY disease in the elderly over 60 years old increased by 34.55% compared with 2010. The burden of infectious and maternal diseases decreased the most， and the standardized DALY rates of male and female in 2020 decreased by 47.03% and 55.50% compared with 2010， respectively. Injury was the next most important factor， which decreased by 32.97% in males and 26.92% in females. The standardized DALY rate of chronic diseases increased by 5.41% in males and decreased by 10.67% in females. In 2020， compared with 2010， the standardized DALY rate of males increased significantly in diabetes （82.02%）， nervous system and mental disorders （26.31%）， and cardiovascular and cerebrovascular diseases （19.86%）. Among women， significant increases were seen in diabetes mellitus （54.74%）， neurological and mental disorders （35.52%）， and musculoskeletal and connective tissue diseases （23.51%）. ConclusionThe overall disease burden in Sichuan Province shows a declining trend， mainly attributed to the decrease in infectious and maternal diseases and injuries. The disease burden among people over 60 years old has increased significantly， with the focus on chronic diseases such as diabetes， cardiovascular and cerebrovascular diseases， nervous system and mental disorders， and musculoskeletal and connective tissue diseases.

Objective:To explore the effectiveness of artificial intelligent (AI) quality control system on the standard mid-sagittal view of fetal face in 11-13 +6 weeks of gestation. Methods:The quality of the images was evaluated using online " Intelligent ultrasonic quality control system" for 1 063 sections of fetal Nuchal translucency ultrasound images in the Ultrasound Department of Shenzhen Maternity and Child Healthcare Hospital of Southern Medical University. The manual quality control results and time consuming of two experts were compared with AI. The gold standard was decided by experts group with higher seniority.Results:The overall standard rate, substandard rate and nonstandard rate of the image evaluated by the intelligent quality control system was 87.3%, 2.82%, and 9.88%. The overall accuracy of images was 96.6%. The coincidence rates between AI and the two experts were 96.1% and 96.3%, respectively, with strong consistency (Kappa were 0.835 and 0.845 respectively). The time required for intelligent quality control was significantly shorter than manual quality control (208 s vs 6 696 s/6 602 s). All the differences were statistically significant ( Z=-3.981, P<0.001). Conclusions:The intelligent quality control system could accurately and quickly evaluate whether the mid-sagittal view of fetal face in 11-13 +6 weeks of gestation is standard.

Objective:To develop an artificial intelligence (AI) quality control model of fetal heart in the first trimester and verify its effectiveness.Methods:A total of 18 694 images of the four-chamber view(4CV) and three-vessel and tracheal view(3VT) of fetal heart in the first trimester were selected from Shenzhen Maternal and Child Health Hospital Affiliated to Southern Medical University since January 2022 to December 2022. A total of 14 432 images were manually annotated. The one-stage target detection algorithm YOLO V5 was used to train the AI quality control model in the first trimester of fetal heart, and 4 262 images (golden standard set by expert group) were used to evaluate the application effectiveness of AI quality control model. Kappa consistency test was used to compare the results of section classification and standard degree judgment from AI quality control model, Doctor 1(D1) and Doctor 2(D2).Results:①Precision of the AI quality control model was 0.895, recall was 0.852, mean average precision (mAP 50) was 0.873.The average precision(AP) of the AI quality control model for section classification was 0.907 (4CV) and 0.989 (3VT), respectively. ②Compared with the gold standard, the overall coincidence rate and consistency of section classification of AI quality control model, D1 and D2 were 99.91% (Kappa=0.998), 100% (Kappa=1.000), 100% (Kappa=1.000), respectively. The coincidence rate and consistency of the plane standard degree evaluation from the AI quality control model, D1 and D2 were 97.46% (Weighted Kappa=0.932), 93.73% (Weighted Kappa=0.847), and 93.12% (Weighted Kappa=0.832), respectively. Strong consistency was displayed. Moreover, AI quality control model showed the highest coincidence rate and the strongest consistency in judging section standard degree, which was superior to manual quality control. The time-consuming of AI quality control (0.012 s/sheet) was significantly less than the way of manual quality control (4.76-6.11 s/sheet)( Z=-8.079, P<0.001). Conclusions:The use of artificial intelligent fetal heart quality control model in the first trimester can effectively and accurately control the image quality.

Objective:To analyze the changes in self-efficacy and its influencing factors in type 2 diabetic patients after community-based self-management group intervention.Methods:From August to November 2014, a 3-month community-based self-management intervention study of type 2 diabetes patients was implemented in Fangshan District, Beijing. 510 patients were recruited through posters, household inquiries and telephone notification and then were randomly divided into intervention group (260 patients) and control group (250 patients). Finally, 500 patients completed the study, including 259 in the intervention group and 241 in the control group. Self-efficacy score was measured through face-to-face interview at different time points, including pre-intervention, post-intervention, 2 years after the intervention and 5 years after the intervention, respectively. A two-level random coefficient model was fitted to analyze the long-term trend of self-efficacy and its relationship with group intervention.Results:Individual-level educational attainment, disease duration as well as their treatment plans had a positive correlation with self-efficacy of type 2 diabetic patients while gender and age did not affect their self-efficacy. Patients with junior middle school education, senior high school education and university and above education had 4.66 ( P<0.05), 6.40 ( P<0.05) and 11.02 ( P<0.05) points higher than those with primary education, respectively. The self-efficacy of diabetic patients increased by 0.23 ( P<0.05) for each additional course year. The effect of treatment plan on self-efficacy was mainly reflected in the self-efficacy of taking medication or insulin injection as prescribed and blood glucose monitoring. After controlling for the confounding factors, i.e., gender, age, disease duration, educational attainment, and treatment plan, self-efficacy scores at the post-intervention increased in both groups compared to those at the pre-intervention. The intervention group had 7.95 points higher than the control group ( P<0.05). After the intervention, the self-efficacy scores of both groups decreased year by year while the intervention group declined faster, with 5.41 points ( P<0.05) at 2 years after the intervention and 8.94 points ( P<0.05) at 5 years after the intervention. Conclusion:Community-based self-management group intervention could improve the self-efficacy of type 2 diabetic patients while the self-efficacy decreases year by year in the absence of follow-up intervention.

Objective:To analyze the changes in self-efficacy and its influencing factors in type 2 diabetic patients after community-based self-management group intervention.Methods:From August to November 2014, a 3-month community-based self-management intervention study of type 2 diabetes patients was implemented in Fangshan District, Beijing. 510 patients were recruited through posters, household inquiries and telephone notification and then were randomly divided into intervention group (260 patients) and control group (250 patients). Finally, 500 patients completed the study, including 259 in the intervention group and 241 in the control group. Self-efficacy score was measured through face-to-face interview at different time points, including pre-intervention, post-intervention, 2 years after the intervention and 5 years after the intervention, respectively. A two-level random coefficient model was fitted to analyze the long-term trend of self-efficacy and its relationship with group intervention.Results:Individual-level educational attainment, disease duration as well as their treatment plans had a positive correlation with self-efficacy of type 2 diabetic patients while gender and age did not affect their self-efficacy. Patients with junior middle school education, senior high school education and university and above education had 4.66 ( P<0.05), 6.40 ( P<0.05) and 11.02 ( P<0.05) points higher than those with primary education, respectively. The self-efficacy of diabetic patients increased by 0.23 ( P<0.05) for each additional course year. The effect of treatment plan on self-efficacy was mainly reflected in the self-efficacy of taking medication or insulin injection as prescribed and blood glucose monitoring. After controlling for the confounding factors, i.e., gender, age, disease duration, educational attainment, and treatment plan, self-efficacy scores at the post-intervention increased in both groups compared to those at the pre-intervention. The intervention group had 7.95 points higher than the control group ( P<0.05). After the intervention, the self-efficacy scores of both groups decreased year by year while the intervention group declined faster, with 5.41 points ( P<0.05) at 2 years after the intervention and 8.94 points ( P<0.05) at 5 years after the intervention. Conclusion:Community-based self-management group intervention could improve the self-efficacy of type 2 diabetic patients while the self-efficacy decreases year by year in the absence of follow-up intervention.

Objective:To analyze the mortality level and trend of chronic and non-communicable diseases (NCDs) among elderly residents aged 65 and over in China from 2004 to 2018, and predict the age-standardized mortality rate of NCDs from 2019 to 2023.Methods:Data on resident death was collected from the National Mortality Surveillance data set and used to analyze the unstandardized mortality rates, age-standardized mortality rates, composition ratios and changing trends of NCDs among different genders, urban and rural areas, and geographical regions in China during 2004 to 2018. The age-standardized mortality rates were calculated based on the Year 2010 Population Census of China. The Joinpoint Regression Models were fitted by the weighted least squares method. The average annual percent change (AAPC) and its 95% confidence interval for the entire time period were calculated. Log-linear models were used to predict age-standardized mortality rates.Results:From 2004 to 2018, the age-standardized mortality rates of NCDs decreased from 4 697.05 per 100 000 to 3 555.35 per 100 000, with an average annual decline of 2.0% (95% CI: -2.7%- -1.3%). The age-standardized mortality rates among different genders, urban and rural areas, and regions showed a downward trend. The age-standardized mortality rates of eastern region (AAPC = -2.1%, 95% CI: -2.8%- -1.3%) and central region (AAPC = -2.8%, 95% CI: -3.4%- -2.1%) fell faster than that of western region (AAPC = -0.8%, 95% CI: -1.8%-0.2%). The proportion of deaths caused by NCDs increased from 89.82% to 91.41%, with an average annual increase of 0.1% (95% CI: 0.1%-0.2%). Expected to 2023, the age-standardized mortality rates for male (3 906.23 per 100 000) will be significantly higher than female's (2 708.43 per 100 000); and that in rural areas (3 283.20 per 100 000) will be approximately equal to that in urban areas (3 250.01 per 100 000); the gap of age-standardized mortality rate between the western (3 782.48 per 100 000), eastern (3 037.01 per 100 000), and central region (3 249.24 per 100 000) will be further increased. Conclusion:From 2004 to 2018, age-standardized mortality rates of NCDs of the elderly residents in China showed a downward trend, and the proportion of deaths of NCDs showed an upward trend. Male and the western region elderly residents should be the key population for prevention and control of chronic diseases in the future.

Objective:To evaluate the quality of the National Demonstration Area for Comprehensive Prevention and Control of NCDs (referred to as "the Demonstration Area").Methods:Based on the evaluation scores of the Demonstration Area field survey from 2017 to 2019, we counted the scores of each indicator, comparing the scores among indicators and regions. x± s was used to describe the scores. The 95% CI of the score was used to test the statistical difference among regions. Each score was converted into a hundred-mark system to compare the scores among indicators. Results:Of 236 Demonstration Areas, the total score was 83.5. The scores of the first-level indicator listed from high to low appeared as Integrating System of NCD Prevention and Control (92.8), Policy Perfection (90.3), Building Supportive Environment for NCD Prevention and Control (88.4), Implementation of Health Education and Health Promotion (87.4), Whole-course Management of NCDs (78.1), Innovation and Guidance (76.5), Surveillance and Evaluation (75.1). Total scores were higher in the east (259.2±18.8) comparing to the middle (243.2±15.2) or the west (245.4±19.7) regions.Conclusions:Substantial variations on the quality in the Demonstration Area existed across different regions in China. These disparities are important to the government when developing health policies and allocating resources. Whole-course Management of NCDs, Surveillance and Evaluation, and Innovation and Guidance in the Demonstration Area also needs to be improved.

Objective: To analyze the characteristics of stress symptoms before and after surgery in adolescent idiopathic scoliosis (AIS) patients and their correlation with postoperative pain. Methods: Fifty-four AIS patients aged 13-18 years from January 2015 to June 2018 in Foshan Traditional Chinese Medicine Hospital were selected. The anxiety, stress and stress symptoms of the patients before and 6 months after operation were assessed by the Trauma Symptom Checklist for Children-Alternative version (TSCC-A) and the Youth Self-Report (YSR). The pain was assessed by Visual Analogue Scale. The correlation between the stress symptoms of the patients and postoperative pain were analyzed by linear regression equation. Results: The score of anxiety/depression and internalization problems in YSR before operation was (5.40±2.48) and (12.19±4.67) respectively, and 6 months after operation, the score was (4.10±1.92) and (9.81±3.46) respectively, there were significant differences between preoperative and 6 months after operation (t value was 7.266, 8.107, P < 0.05). Before operation, the scores of anger in TSCC-A, the scores of social problems and attention problems in YSR were positively correlated with postoperation pain (P < 0.05), while postoperation pain was positively correlated with the scores of anxiety in TSCC-A, the scores of social problems and attention problems in YSR 6 months after operation (P < 0.05). Conclusions Preoperative stress symptoms of AIS patients are associated with postoperative pain, while postoperative pain is associated with postoperative recovery anxiety. Preoperative intervention should be actively taken to reduce perioperative stress symptoms and postoperative pain, so as to further improve the quality of nursing.