In the era of deep technologization with the flourishing development of newquality productive forces， China’s medical science and technology innovation has transitioned from “following” to “leading”， and the ethical governance environment of medical science and technology has undergone profound changes. However， the traditional ethical governance system of medical science and technology faces several issues， such as outdated ethical governance concepts， inadequate ethical norms， excessive hidden ethical risks， and numerous loopholes in governance systems， which fail to effectively respond to the diverse and complex ethical risk challenges. To this end， it is essential to promote the transformation of ethical governance thinking in medical science and technology based on the reality of newquality productivity forces and deep technologization， as well as to shift unilateral， extensive， and single governance into comprehensive， precise， and early-warning governance. Additionally， it is necessary to cultivate an ethical governance concept that prioritizes ethics and prevention， establish a diverse and collaborative ethical governance model， set up a prevention mechanism focused on major ethical risks， as well as enhance the systems of ethical communication， review， and feedback in medical science and technology.

ObjectiveTo retrospectively analyze the epidemiological trends of birth defects in perinatal infants in Fengxian District, Shanghai from 2018 to 2022, so as to provide a scientific evidence for the formulation of related prevention and control strategies. MethodsBased on the data from the National Birth Defects Surveillance System, statistical analysis was conducted on the perinatal birth defects from monitored hospitals within the region from 2018 to 2022. ResultsFrom 2018 to 2022, a total of 20 870 perinatal infants delivered in the monitored hospitals in Fengxian District, with 472 cases with birth defects, showing a significant increase in the prevalence of birth defects (PRR=1.49, 95%CI: 1.39‒1.59). The risk of birth defects increased with maternal age, especially for advanced maternal age (PRR=1.58, 95%CI: 1.12‒2.25). Infants born to mothers with gestational diabetes had a higher prevalence of birth defects compared to those without gestational diabetes (PRR=1.99, 95%CI: 1.46‒2.70). Infants with birth defects were more likely to be born prematurely (PRR=2.07, 95%CI:1.56‒2.76). The top three types of birth defects were congenital heart disease (CHD), other anomalies of the external ear, and polydactyly. ConclusionThe prevalence of birth defects in Fengxian District monitored hospitals showed an upward trend from 2018 to 2022. Advanced maternal age and gestational diabetes were identified as risk factors for birth defects. CHD is the leading type of birth defect in Fengxian District over the five-year period. To reduce the prevalence of birth defects, it is crucial to implement comprehensive prevention and treatment measures for CHD.

Objective: To analyze the distribution characteristics of immunoglobulin A (IgA) concentration in Nanning Zhuang blood donors by measuring the concentration of plasma IgA. Methods: Enzyme-linked immunosorbent assay (ELISA) was performed to measure the absorbance of 2 000 plasma samples from Zhuang blood donors. The IgA concentration in samples was calculated using the ELISA Calc regression/fitting technology program. Results: The standard curve demonstrated that ELISA detection of plasma IgA concentration exhibited good precision. The frequency of IgA deficiency was 0/2 000. No statistically significant difference in the distribution of IgA concentration was observed between males and females (P>0.05). The distribution of IgA concentration varied significantly across age groups: younger individuals (18-39 years old) had lower plasma IgA levels (mg/dL) compared to older individuals (40-56 years old): 5-89.99 mg/dL group, 8.80% (176/2 000) vs 17.20% (344/2 000); 90-450 mg/dL group,20.65% (413/2 000) vs 51.20% (1 024/2 000); >450 mg/dL group, 0.45%, (9/2 000) vs 1.70% (34/2 000), P<0.05. No significant difference in IgA concentration was found among different ABO blood types in Zhuang blood donors (P>0.05). Spearman correlation analysis revealed a positive correlation between age and IgA concentration (R =0.114, P<0.05). Conclusion: No individuals with IgA deficiency were screened out among the Zhuang blood donors in Nanning area, and plasma IgA levels progressively increase with age.

ObjectiveTo systematically evaluate the public health governance capacity of 40 cities in Jiangsu, Zhejiang, and Anhui Provinces, providing a scientific evaluation basis for building a "Healthy Yangtze River Delta". MethodsA comprehensive collection of policy documents, public information reports, and research literature related to public health governance capacity in Jiangsu, Zhejiang, and Anhui Provinces was conducted, totaling 6 920 policy documents, 1 720 information reports, and 1 200 literature pieces. Based on the evaluation standards for an appropriate public health system established by the research team, the basic status of public health governance capacity was assessed to identify the strengths and weaknesses of the 40 cities. ResultsIn 2022, the public health governance capacity score for the 40 cities in Jiangsu, Zhejiang, and Anhui Provinces was (562.5±38.0) points. In terms of specific areas, the emergency response field received the highest score of (791.4±49.7) points, while the chronic disease prevention and control field received the lowest score of (368.2±29.6) points. The Jiangsu-Zhejiang-Anhui region has largely achieved the strategic priority of health, gradually improved public health legal regulations, and established a basic organizational framework with a solid foundation for information and data infrastructure. However, challenges still need to be addressed, such as unstable government funding for public health, unclear departmental responsibilities, and barriers to information interoperability. ConclusionThe public health governance capacity of the 40 cities in Jiangsu, Zhejiang, and Anhui Province has been at a moderate level, but disparities have still existed across regions and fields. In the future, while continuing to deepen existing advantages, it is essential to accurately identify the causes of problems, establish a long-term and stable investment mechanism, enhance information connectivity mechanisms, further clarify departmental responsibilities, and promote the achievement of the "Healthy Yangtze River Delta" goal.

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.

The construction of close-knit county medical communities is an initiative to promote primary care in counties and practice Healthy China.The internal and external environments with uncertainty,variability,and complexity threaten the survival space and integration mode of the medical establishment in the close-knit county medical communities,and the resource-based capabilities and static core capabilities can no longer fully meet the survival and development needs of the medical and health institutions in the compact county medical communities in the dynamic environment.It proposes a conceptual framework for the dynamic capabilities of medical and health institutions in compact county medical and health communities,clarifies that the dynamic capabilities of medical and health institutions are divided into four core dimensions,namely,perception capability,learning capability,coordination capability,and integration capability,and analyses the mechanism of the evolution of the dynamic capabilities of medical and health institutions in compact county medical and health communities in conjunction with the SECI model,and finally proposes to do a good job in the top-level design of the medical community policy,to form the external"push"of the dynamic capabilities,and to use the SECI model as a basis for the development of the dynamic capabilities.thrust,enhance the resource coordination and integration capacity with medical community information technology as a push,and enhance the enhancement strategy to improve the dynamic capacity of medical and health institutions with the focus on the construction of health human resources.

Objective To explore the mechanism of Prunella vulgaris and Scutellaria barbata herb pair against breast cancer based on network pharmacology and in vitro cell experiments.Methods The effective components and targets of Prunella vulgaris and Scutellaria barbata herb pair were screened.GeneCards and OMIM databases were used to find breast cancer targets,and then drug-active ingredient-key target network and protein-protein inter-action(PPI)were constructed.R language was used to perform GO function and KEGG pathway enrichment analy-sis and survival analysis.Then the screened active components and core targets were verified by molecular docking.Cell viability was detected by CCK-8 assay.EdU and flow cytometry were used to detect cell proliferation and apop-tosis.The protein expression levels of p-AKT1,AKT1,β-catenin and c-MYC were detected by Western blot.Results Through databases analysis,a total of 36 active components and 105 intersection targets were screened out,the core components were quercetin,luteolin,kaempferol,wogonin and baicalein.Through PPI and survival analysis,the key targets were AKT1,ESR1,CASP3 and MYC.GO analysis contained 4 303 enrichment results,KEGG analysis contained 232 pathways.Molecular docking showed that the core components had strong binding ability with the key targets.Cell experiments showed that the core active ingredient quercetin could inhibit the proliferation of breast cancer cells and promote their apoptosis(P＜0.05),and down-regulate the expression levels of p-AKT1,β-catenin and c-MYC proteins(P＜0.05).Conclusion The active components quercetin in Prunella vulgaris and Scutel-laria barbata herb pair may play a role through AKT1/β-catenin signaling pathway,which provides a scientific refer-ence for the study of its mechanism of action in the treatment of breast cancer.

In the context of modern medicine,it's difficult for doctors lacking narrative thinking to get into the hearts of patients and offer high-quality medical service.Precise classification terms and decontextualized abstract language have become communication barriers between doctors and patients,creating an atmosphere of unusual indifference and fear during the medical process.William Osler,the father of modern medicine,emphasized that doctors should respect the individuality of patients,and advocated that doctors should use life-oriented language to provide humanistic care to patients.This echoes the concept of the"doctor-patient narrative community"in the construction of the Chinese narrative medicine system.As a brand new clinical humanistic practice path,narrative medicine focuses on the keyword"narrative"and revolves around the theme of"inter-subjective relationship"in the medical context,advocates that doctors switch flexibly in the two references of science and life,achieve visual fusion with patients and their families,pay attention to patients'life experiences,and establish narrative connections with them.On this basis,it can achieve two-way narrative interaction,build a harmonious doctor-patient narrative community,and thus enhance the patient's medical experience.

In recent years,with the gradual maturity of achievable remote collection of digital health technology,more and more clinical research have applied this technology to improve the quality of data collection and reduce the burden on subjects.However,its technological characteristics of detachment from the diagnostic and treatment environment and real-time transmission of sensitive information also pose corresponding risks to the protection of subjects'rights and interests and data standardization management,among which personal information protection and data control permissions are more prominent issues.Based on risk analysis and regulatory review,this paper explored the responsibilities of multiple parties,including the sponsors,researchers,clinical trial institutions,and ethics committee,as well as proposed five elements of special concern for ethical review,with a view to providing a reference for promoting the standardized development of digital health technology in clinical research.