In 2022， Hainan provincial government launched the project for the prevention and control of viral hepatitis with the goals of a hepatitis B screening rate of 90%， a diagnostic rate of 90%， and a treatment rate of 80% among people aged 18 years and above by the year 2025， and the main intervention measures include population-based prevention， case screening， antiviral therapy， and health management. As of December 31， 2024， a total of 6.875 million individuals in the general population had been screened for hepatitis B， with a screening rate of 95.6%. A total of 184 710 individuals with positive HBsAg were identified， among whom 156 772 were diagnosed through serological reexamination， resulting in a diagnostic rate of 84.9%. A total of 50 742 patients with chronic hepatitis B were identified， among whom 42 921 had hepatitis B-specific health records established for health management， with a file establishment rate of 84.6%. A total of 31 553 individuals received antiviral therapy， with a treatment rate of 62.2%. A total of 2.503 million individuals at a high risk of hepatitis C were screened， among whom 4 870 tested positive for HCV antibody and 3 858 underwent HCV RNA testing， resulting in a diagnostic rate of 79.2%， and 1 824 individuals with positive HCV RNA were identified， among whom 1 194 received antiviral therapy， with a treatment rate of 65.5%. In addition， 159 301 individuals with negative HBsAg and anti-HBs and an age of 20 — 40 years were inoculated with hepatitis B vaccine free of charge. Through the implementation of the project for the prevention and control of viral hepatitis， a large number of hepatitis patients have been identified， treated， and managed in the province within a short period of time， which significantly accelerates the efforts to eliminate the crisis of viral hepatitis.

Objective To explore the application status and development trend of machine learning in the field of pharmacovigilance worldwide,and to provide reference for the research on the application of machine learning in the field of pharmacovigilance.Methods Relevant literature was searched in the Web of Science with the key words of"machine learning"and"pharmacovigilance"from the inception to March 1,2023.R language and other software were used to quantitatively analyze the literature data in this field.The clustering,co-occurrence and emergence visual analysis were carried out on the characteristics of annual published papers,institutions,countries,keywords and other aspects.Results A total of 904 literature were included.The number of literature published showed a fluctuating upward trend since 1994.There was cross-regional,cross-regional and cross-agency cooperation among the cooperative network institutions.The top 5 countries in the number of publications were the United States,China,Japan,South Korea and India,China and the United States had relatively close cooperation in this field.Signal detection,social media and electronic health records were high-frequency keywords in this field.Clustering and association rule analysis showed that this field focused on three aspects signal recognition,unstructured text mining and analysis,and processing and analysis of electronic medical information.At present,machine learning has made significant progress in signal recognition,social media information mining,and unstructured text processing of electronic medical information,which broaden the data sources of pharmacovigilance,improve the real-time monitoring ability of adverse drug reactions,bringing innovation impetus to the field of pharmacovigilance.Conclusion The rapid development of big data and artificial intelligence technologies has led to an increasing integration of machine learning into the field of pharmacovigilance,which promotes technical exchanges and cooperation and cross-disciplinary integration.It is necessary to optimize each machine learning algorithm to improve its accuracy and stability in pharmacovigilance,strengthen the protection measures of data privacy and security to ensure the safety of patient information.Integrating expertise in the fields of science,medicine,and data statistics with a view to promoting technological progress in the field of pharmacovigilance.

Objective:To explore the application effect of Wenyang Jiangu Bao combined with Baduanjin in osteoporosis (OP) patients with kidney-yang deficiency.Methods:A total of 100 OP patients with kidney-yang deficiency who were initially hospitalized in Traumatology Department of the Second Affiliated Hospital of Hunan University of Chinese Medicine from January 2021 to May 2022 were selected by the convenient sampling method and they were randomly divided into the routine group, the packet group, Baduanjin group and the combined the Baduanjin group was treated with Baduanjin exercise on the basis of routine group, and the combined group was treated with Wenyang Jiangu Bao and Baduanjin combination measures on the basis of routine group. The intervention time was 12 weeks. The clinical curative effects, TCM syndrome score, lumbar bone density, the MOS Item Short from Health Survey (SF-36) score and Visual Analogue Scale (VAS) score of all groups before and after intervention were compared.Results:After intervention, the clinical curative effects of the combined group was better than that of the routine group and Baduanjin group, VAS score and TCM syndrome score were lower than those of other 3 groups, lumbar bone density and SF-36 score were higher than those of other 3 groups, and the differences were all statistically significant ( P<0.05) . Conclusions:Wenyang Jiangu Bao combined with simplified Baduanjin in treatment of osteoporosis patients with kidney-yang deficiency has a good clinical effect, which can improve the symptoms of lumbar pain and leg pain and traditional Chinese medicine symptoms of osteoporosis patients, increase the lumbar bone density of patients and improve the quality of life of them.

Objective To establish an ideal modeling method for diarrhea predominant irritable bowel syndrome(IBS-D)with anxiely and depression in rats,and to provide a basis for the clinical study of IBS-D.Methods 60 rats were used in this study.(1)At first,20 rats were randomly divided into blank,3%acetic acid enema,4%acetic acid enema,and 5%acetic acid enema groups.After the modeling and observation period,the diarrhea status and the degree of colon injury caused by different modeling concentrations were observed by diarrhea related index and colon histopathology.(2)After the optimal modeling concentration was assessed,40 rats were randomly divided into control(a),acetic acid enema(b),acetic acid+binding(c),and acetic acid+binding+tail clip(d)groups and correspondingly treated for 8 days.After the treatments,the general condition,diarrhea-related index,open field test(OFT)score,and colonic histopathology of rats were evaluated.Results(1)Compared with the blank group,the fecal trait score of 4%acetic acid enema group was increased on days 1 to 3 after intervention(P＜0.001),and gradually decreased on days 4 to 7 after intervention.After 1 week,there was no significant difference between the fecal trait score and that of the blank group(P＞0.05).Body weight was lower(P＜0.01),fecal water content was higher(P＜0.001).Compared with blank group,body weight of the 5%acetic acid enema group was decreased(P＜0.001),the fecal trait score and diarrhea index were increased(P＜0.01).No significant difference was found between 3%acetic acid enema and blank groups.The pathological colon tissue showed that,compared with the blank group,the mucosal structure of the 4%acetic acid enema group was complete with a small amount of inflammatory cell infiltration,and the pathological tissue score showed no significant difference(P＞0.05),whereas the 5%acetic acid enema had a medium to large amount of inflammatory cell infiltration,and the pathological tissue score was increased(P＜0.01).(2)Compared with group a,group b had lower body weight(P＜0.001),and higher fecal trait score,fecal water content and diarrhea index(P＜0.01).Compared with a and b groups,the body weight of c and d groups was lower(P＜0.001),the fecal traits score,fecal water content,and diarrhea index were increased(P＜0.01),and the colon running time was decreased(P＜0.01).Compared with group c,Fecal water content in group D was higher(P＜0.001).In the OFT score,compared with a and b groups,the OFT distance,standing times,and upright times in c and d groups were lower(P＜0.05).Compared with c,the OFT distance,standing times,and upright times in d group were lower(P＜0.05).The pathological tissue of colon showed that the mucosal structure of the four groups was complete,and there were different degrees of inflammatory cell infiltration.The pathological tissue scores of groups c and d were higher than those of groups a and b(P＜0.05).Conclusions The 4%acetic acid concentration is appropriate for IBS-D modeling.After superposition and binding,the IBS-D diarrhea and internal hypersensitivity characteristic state can be better simulated.After superposition of a tail clip,the IBS-D model of liver stagnation and spleen deficiency can be established successfully.

Objective To explore the potential categories of self-efficacy in patients with rheumatoid arthritis(RA),analyze their influencing factors,and provide references for the development of personalized care measures.Methods Patients with RA who visited the rheumatology and immunology outpatient department of a tertiary hospital in Changzhou from March 2022 to March 2023 were selected.A general information questionnaire,the Chinese version of the Rheumatoid Arthritis Self-Efficacy Scale(C-RASE),and Compliance Questionnaire Rheumatology(CQR)were used to investigate RA patients.Latent class analysis was used to classify self-efficacy,and logistic regression analysis was conducted to explore the influencing factors of self-efficacy.Results A total of 219 subjects were included in the survey.The score of C-RASE was(100.68±12.64).The self-efficacy of RA patients was divided into a high efficacy-low support group(105.18±10.18),a moderate efficacy-diverse needs group(93.21±4.16),and a low efficacy-high fatigue group(84.07±13.96).Logistic regression analysis showed that disease duration(OR=1.062,P=0.024),education(OR=5.405,P=0.036;OR=12.347,P=0.021),and erythrocyte sedimentation rate(OR=1.019,P=0.020;OR=1.019,P=0.027)were factors affecting patients'self-efficacy.The treatment compliance scores of the 3 latent class categories(F=10.902,P＜0.001)and the rate of good treatment compliance(x2=16.053,P＜0.001)were statistically significant.Conclusion RA patients exhibit significant heterogeneity in their self-efficacy levels,and there are variations in treatment adherence among patients in different self-efficacy categories.Nurses should prioritize the attention towards the population groups with moderate efficacy-diverse needs,as well as the groups with low efficacy-high fatigue,implementing cognitive behavioral interventions to assist them in setting clear goals and providing specific plans and guidance to improve their health outcomes.

Objective:To explore the impact of CACNA1C rs58619945 genotype on the cortical thickness of attentional networks in patients with Bipolar 1 disorder type (BD-Ⅰ). Methods:From August 2013 and August 2019, a total of 155 BD-Ⅰ patients were recruited from the outpatient and inpatient Departments of the Affiliated Brain Hospital of Guangzhou Medical University, along with 82 healthy controls (HC) from the community and university. Genotype for the CACNA1C rs58619945 locus was determined for all BD-I patients and HC subjects, followed by 3.0 T magnetic resonance imaging scans to measure the cortical thickness in the alert, orienting, and executive control subnetworks. General linear models (GLMs) were used to evaluate the impact of CACNA1C rs58619945 on the cortical thickness of attentional networks. Concurrently, attentional dimension functions were assessed using repeatable battery for the assessment of neuropsychological status (RBANS) and Cambridge neuropsychological test automated battery rapid visual information processing (CANTAB RVP) test. This study was approved by the Medical Ethics Committee of the Affiliated Brain Hospital of Guangzhou Medical University(Ethics No. 2023-056). Results:Compared with the HC group, the BD-Ⅰ patients had shown reduced thickness in bilateral prefrontal cortex, bilateral posterior cingulate cortex, and bilateral superior temporal cortex( P<0.05). A significant interaction between the CACNA1C genotype and the cortical thickness(HC vs.BD) of right prefrontal cortex, right posterior parietal cortex and right superior temporal cortex was noted( P<0.05). Partial correlation analysis has demonstrated a significant correlation between CANTAB RVP and RBANS attention indices and cortical thickness in the right prefrontal cortex, right posterior cingulate cortex( P<0.05), and right superior temporal cortex predominantly among carriers of the BD-Ⅰ G allele. Conclusion:The G allele of CACNA1C rs58619945 is associated with cortical thickness of the right prefrontal cortex, right posterior cingulate cortex, and right superior temporal cortex in BD-Ⅰ, which are part of the alerting and orienting network.

Sufficient and organized sleep is a key factor during the developmental process of infancy while disrupted sleep schedule and diseases might lead to sleeping disorders in infants. Breastfeeding is considered to be the most beneficial way to meet the nutritional needs of infants for optimal growth and development. The α-lactalbumin-tryptophan-melatonin axis, nucleotides, and other factors are breast milk components that may affect infant sleep. Meanwhile, diet, feeding schedule, tobacco smoking, alcohol intake, and caffeine consumption will affect the circadian rhythms which might lead to the fluctuations of sleep-influencing factors in breast milk. This study reviews literature of previous studies on this topic to summarize information that can be considered for both breastfeeding practice and future basic research on the establishment of organized sleep patterns in infants.

The number of investigator initiated research (IIR) is increasing. But the recognition and management of IIR in China is still in its infancy, and there is a lack of specific and operable guidance for the implementation process. Based on our practical experiences, previous literature reports, and current policy regulations, the authors took prospective IIR as an example to summarize the implementation process of IIR into 14 steps, which are as the following: study initiation, ethical review, study registration, study filing, case report form design, database establishment, standard operating procedure making, investigator training, informed consent, data collection, data entry, data verification, data locking and data archiving.

Abstract：Objective To evaluate the basic development status of public health emergencies of infectious diseases in Hainan Province from 2013 to 2022, analyze the distribution and characteristics of these emergencies, as to provide important scientific basis for the study and formulation of economic health development planning policies, for the health security policies and infectious disease prevention and control strategies in Hainan Province. Methods The relevant statistical data of public health emergencies involving infectious diseases reported in Hainan Province from 2013 to 2022 were collected, and the status quo of these emergencies was analyzed by using descriptive data statistical analysis method. The ARIMA model was used to predict the number of public health emergencies reported by infectious diseases in Hainan Province from 2023 to 2025. Results From 2013 to 2022, a total of 482 public health emergencies were reported in Hainan Province, of which 426 were infectious disease public health emergencies, accounting for 88.38%, with a total of 8 876 cases, an incidence rate of 0.61%, and eight deaths, a case fatality rate of 0.09%. The major public health emergencies of infectious diseases were unclassified events and general events, accounting for 69.25% and 29.58%, respectively. The main diseases were novel coronavirus infection, chickenpox and hand, foot and mouth disease, accounting for 45.07%, 15.49% and 11.97%, respectively; in terms of time distribution, the number of reported incidents showed an upward trend over time, with a decline in 2021, and mainly had three peak periods, April, August and December, with a total of 220 cases reported; in terms of regional distribution, the major cities and counties reported were Haikou, Wanning and Wenchang, accounting for 27.46%, 19.25% and 9.86%, respectively; in terms of location distribution, the events mainly occurred in schools, accounting for 42.02% of the total number of incidents. The ARIMA(1, 1, 0) model was used to predict infectious disease public health emergencies, and the results showed that the forecast state would be stable from 2023 to 2025, with no obvious upward trend, that is, the fluctuation range of public health emergencies related to infectious diseases in Hainan Province would be stable in the next three years. Conclusion The number of infectious disease public health emergencies reported in Hainan Province from 2013 to 2022 has increased year by year, with a decline in 2021. Although the forecast shows that public health emergencies such as infectious diseases are relatively stable with no obvious upward trend, the prevention and control of the epidemic should not be taken lightly. Hainan Province should continue to increase the investment in monitoring public health emergencies, improve the information system of public disease prevention and control, and carry out real-time monitoring of public health emergencies of infectious diseases.

Objective:To deeply explore the pain experience of patients with rheumatoid arthritis, so as to provide a basis for the practical interventions in the next step.Methods:Using the phenomenological research method, 18 patients with rheumatoid arthritis who experienced pain in the First Hospital of Soochow University from September 2020 to January 2021 were selected for semi-structured interviews, and the Colaizzi 7-step analysis method was used for data analysis.Results:The pain experience of patients with rheumatoid arthritis were summarized into six themes. Pain was complex and erratic, pain relief strategies were ineffective, pain negatively affected daily life, expected more pain relief, seeking help selectively when pain occurs, and experienced pain brings positive change.Conclusions:Medical staff must pay attention to the real experiences and demands of pain in rheumatoid arthritis patients, use information technology and multidisciplinary collaboration to provide patients with effective pain management strategies and encourage patients to make more positive changes to relieve pain symptoms.