Voice biomarkers， as an emerging smart medical technology， are now being used in applications such as assisting in the diagnosis and treatment of diseases， facilitating accurate and personalized medical services for patients. However， it also raises many ethical issues， including informed consent， privacy protection， accuracy and reliability， data security， legal risks， and other issues. This paper systematically sorted out the ethical issues in the applications of voice biomarkers in the medical field， summarized these issues， such as informed consent， privacy protection， accuracy and reliability， data security， and legal risks， as well as explored the corresponding coping strategies. These countermeasures encompassed utilizing new media platforms to raise public awareness of voice biomarkers， strengthening supervision and management to promote the privacy protection of voice biomarkers， reducing algorithm biases to promote the general benefits of voice biomarkers to the public， establishing multidisciplinary teams to protect the data security of voice biomarkers， and encouraging medical professionals and researchers to participate in policy research， with a view to providing references for promoting and regulating the applications of voice biomarkers in the medical field.

Objective:To conduct a symptom network analysis in patients with systemic lupus erythematosus (SLE) and identify core symptoms, in order to provide a foundation for the development of precision-based symptom management interventions.Methods:A convenience sampling method was used to recruit 420 SLE patients who received treatment at Shengjing Hospital of China Medical University between November 2022 and July 2023. The SLE Specific Symptom Checklist was administered to these patients. A contemporaneous symptom network was constructed using a Gaussian graphical model, and centrality measures including closeness centrality, betweenness centrality, and expected influence coefficient were calculated to determine the core symptoms within the network.Results:The most commonly reported symptoms among the 420 patients were fatigue (65.7%, 276/420), hair loss (59.8%, 251/420), photosensitivity (56.9%, 239/420), memory impairment (54.5%, 229/420), and facial swelling (52.1%, 219/420). In the symptom network analysis, the most central symptom was photosensitivity (closeness centrality=1.58; betweenness centrality=2.56; expected influence coefficient=1.06), followed by skin fragility (closeness centrality=1.00; betweenness centrality=0.43; expected influence coefficient=1.78), gastrointestinal discomfort (closeness centrality=1.30; betweenness centrality=1.14; expected influence coefficient=0.77), fatigue (closeness centrality=0.50; betweenness centrality=0.70; expected influence coefficient=1.61), and mood changes (closeness centrality=0.65; betweenness centrality=1.14; expected influence coefficient=0.89) .Conclusions:Among the various symptoms experienced by SLE patients, photosensitivity, skin fragility, gastrointestinal discomfort, fatigue, and mood changes emerged as core symptoms that influence and activate other symptoms in the network. Healthcare professionals should tailor symptom management strategies based on patients' self-reported symptom profiles, prioritize intervention targets, and work to reduce the overall symptom burden in individuals with SLE.

Objective:To conduct a symptom network analysis in patients with systemic lupus erythematosus (SLE) and identify core symptoms, in order to provide a foundation for the development of precision-based symptom management interventions.Methods:A convenience sampling method was used to recruit 420 SLE patients who received treatment at Shengjing Hospital of China Medical University between November 2022 and July 2023. The SLE Specific Symptom Checklist was administered to these patients. A contemporaneous symptom network was constructed using a Gaussian graphical model, and centrality measures including closeness centrality, betweenness centrality, and expected influence coefficient were calculated to determine the core symptoms within the network.Results:The most commonly reported symptoms among the 420 patients were fatigue (65.7%, 276/420), hair loss (59.8%, 251/420), photosensitivity (56.9%, 239/420), memory impairment (54.5%, 229/420), and facial swelling (52.1%, 219/420). In the symptom network analysis, the most central symptom was photosensitivity (closeness centrality=1.58; betweenness centrality=2.56; expected influence coefficient=1.06), followed by skin fragility (closeness centrality=1.00; betweenness centrality=0.43; expected influence coefficient=1.78), gastrointestinal discomfort (closeness centrality=1.30; betweenness centrality=1.14; expected influence coefficient=0.77), fatigue (closeness centrality=0.50; betweenness centrality=0.70; expected influence coefficient=1.61), and mood changes (closeness centrality=0.65; betweenness centrality=1.14; expected influence coefficient=0.89) .Conclusions:Among the various symptoms experienced by SLE patients, photosensitivity, skin fragility, gastrointestinal discomfort, fatigue, and mood changes emerged as core symptoms that influence and activate other symptoms in the network. Healthcare professionals should tailor symptom management strategies based on patients' self-reported symptom profiles, prioritize intervention targets, and work to reduce the overall symptom burden in individuals with SLE.

OBJECTIVE To explore the self precipitation source of Erhuang powder, determine the content of related components and its efficacy on HeLa cells. METHODS Bifurcation study to identify the main compatibility of precipitating. The self precipitation, supernatant and extract of Erhuang powder were analyzed by UHPLC-Q-Exactive MS. The main compounds in Coptidis Rhizoma and Catechu, catechin, epicatechin, epicberberine, coptisine, berberine and palmatine were selected as controls. A analysis method of UHPLC for self precipitation, supernatant and extract of Erhuang powder was established and the related components were quantitatively determined. The effects of self precipitation, supernatant and extract on HeLa cells were evaluated by MTT method and flow cytometry. RESULTS A slight flocculation precipitate appeared when the decoction of Erhuang powder was mixed in pairs, while a large amount of flocculation appeared when the decoction of Coptidis Rhizoma and Catechu water was mixed. The self precipitation, supernatant and extract samples contained 39 compounds, which were mainly alkaloids and phenolic acids. The contents of catechin and berberine in the 6 index components were mostly, which accounted for 73.56% of the total content of the index components in self precipitation and 61.89% of the total content of the index components in extract. Inhibition effect on HeLa cells: extract ≈ self precipitation > supernatant, and inducing apoptosis: self precipitate ≈ extract, supernatant had no apoptosis-inducing effect. CONCLUSION Coptidis Rhizoma-Catechu is the main compatible formula for precipitation formation. The self precipitation and extracts of Erhuang powder are mainly alkaloids and phenolic acids, among which berberine and catechin are high in content and can be used as representative components. The effect of self-precipitation and extract on HeLa cells was better than that of supernatant. This basically indicates that the self precipitation components and pharmacological effects of Erhuang powder are similar to those of the extract.

Objective To systematically evaluate and integrate the experiences of people living with HIV in peer support,and to provide references and suggestions for improving peer support for HIV patients in clinical practice.Methods The computer retrieval was performed in PubMed,CINAHL(EBSCO),Web of Science,ProQuest,CNKI and Wanfang Data from January 1,1996 to September 30,2022,to collect qualitative studies in the experience of people living with HIV participating in peer support.This qualitative systematic review was conducted under the Joanna Briggs Institute guideline.This paper was written according to the enhancing transparency in reporting the synthesis of qualitative research(ENTREQ).Results A total of 7 qualitative studies were included,and 26 findings were extracted,which were summarized into 12 categories and integrated into 4 synthesized findings.Findings included that peer support provides patients with information and help them establish and maintain a healthy lifestyle;patients receive emotional support in peer support;patients receive instrumental support in peer support;the objective requirements and scenarios of peer support.Conclusion AIDS peer support has a positive effect on AIDS prevention and treatment,and it is important to address the practical needs of people living with HIV/AIDS.The practice of HIV peer support needs further theoretical support and scientific guidance.Building an HIV peer support model,providing systematic training and professional guidance to HIV peers is conducive to improving the accuracy of HIV peer support behaviors,the development of HIV peer support activities,and optimizing the effectiveness and sustainability of peer support for people living with HIV/AIDS.

The number of expert consensus publications has been increasing year by year as an industry guidance document.However,due to the lack of unified reporting guidelines and methodological standards,the current published expert consensuses in nursing exhibit inconsistent writing formats and varying quality.This article combines the quality evaluation points for expert opinions from the Jonna Briggs Institute in Australia,focusing on 6 aspects,covering the authority of the expert team,clarity of viewpoint expression,adequacy of evidence-based foundation,standardization of the consensus-reaching process,taking into account of interests of relevant research populations,and the potential for application in specific clinical settings.These points are introduced as review criteria for expert consensus papers,aiming to provide references for improving the quality and standardization of expert consensus papers in the future.

Objective:To explore the classification and influencing factors of family resilience and post-traumatic growth in patients with spinal tumor.Methods:A cross-sectional investigation was conducted among 219 inpatients with spinal tumor admitted from July 2021 to July 2022. The General Demographic Information questionnaire, Chinese-Family Resilience Assessment Scale, Posttraumatic Growth Inventory, Family Crisis-Oriented Personal Evaluation Scales (F-COPES), and Social Support Rating Scale (SSRS) were used in the study. The ordinal and multivariate logistic regression analyses was applied to identify the factors associated with the classification of family resilience and post-traumatic growth.Results:Of the 219 patients, there were 62 cases of primary spinal tumors (28.3%). According to the results of latent profile analysis, the respondents were classified into three categories by family resilience and post-traumatic growth, namely family difficulty-resistant type ( n=38, 17.4%), general resilience-struggle type ( n=99, 45.2%) and family adaptation-growth type ( n=82, 37.4%). There were significant differences in occupational status, commitment to housework, family atmosphere( χ2=10.75, P=0.025; χ2=6.95, P=0.031; χ2=11.37, P=0.017), and total score of F-COPES and SSRS ( F=25.95, P<0.001; F=19.06, P<0.001)among three groups. Ordinal and multivariate logisitc regression analyses showed that retirement ( OR=2.928, 95% CI:1.098-7.808, P<0.05), family coping ( OR=1.113, 95% CI:1.063-1.165, P<0.05), and social support ( OR=1.226, 95% CI:1.103-1.362, P<0.05) were independently associated with family resilience and post-traumatic growth in patients with spinal tumor. Conclusion:Patients with spinal tumor have significant differences in characteristics by family resilience and post-traumatic growth. As a result, more targeted interventions should be provided for different categories of spinal tumor patients in the future.

Purpose/Significance To sort out and analyze the application status of artificial intelligence(AI)large models in medi-cine,so as to provide new perspectives for research in this domain.Method/Process Based on a review of relevant literatures,the paper outlines the application scenarios and examples of AI large models in the fields of smart medical care,medical metaverse,medical re-search and development,etc.It also summarizes the risks and challenges in the application of AI large models in medicine.Result/Con-clusion AI large models have great development potential in medicine,and it is necessary to promote the core technologies of AI large models and improve relevant regulations and laws.

Objective:To construct a structured education course for patients with neurogenic bladder during the rehabilitation period.Methods:This study consisted three stages of current situation survey, literature search, and expert consultation. From February 2022 to February 2023, a current survey was conducted on the self-management needs of 62 patients with neurogenic bladder. In April 2023, a literature search was conducted to summarize the best evidence on nursing and management of neurogenic bladder, and form the initial version of course indicators and content. From April to May 2023, 14 experts were selected for consultation, and the Delphi method was used to demonstrate the course indicators and content, and to construct the final draft of the course.Results:A total of 62 patients with neurogenic bladder were included, they have requirements for water management, bladder function training, and dietary requirements, etc. A total of 2 053 articles were retrieved, and 14 articles were ultimately included, including eight guidelines, four evidence summaries, one expert consensus, and one systematic review. The expert authority coefficients for the two rounds of expert consultation were 0.93 and 0.92, respectively. The Kendall coordination coefficient of various indicators in the second round of expert consultation was 0.227 to 0.288 ( P<0.01). After two rounds of expert consultation, a structured education course for patients with neurogenic bladder during the rehabilitation period was finally developed, including six primary indicators, 21 secondary indicators, and 30 tertiary indicators. Conclusions:The structured education course for patients with neurogenic bladder during the rehabilitation period, based on current situation survey, high-quality evidence, and expert consultation, is comprehensive in content and reasonably designed, which can provide supportive assistance for future nursing health education and management for patients with neurogenic bladder.

Objective To explore the effect of Traditional Chinese Medicine's five-element music therapy com-bined with individualized emotional counseling intervention in patients with autoimmune liver disease of liver de-pression and spleen deficiency type.Methods 74 patients with autoimmune liver disease of liver depression and spleen deficiency type who were admitted to the hepatology department of a tertiary hospital from January 2021 to February 2022 were selected as research subjects,and they were divided into an experimental group and a control group by a random number table with 37 cases in each group.The control group was given routine treatment and nursing care,as well as Traditional Chinese Medicine's emotional nursing.The experimental group received Tradi-tional Chinese Medicine's five-element music therapy combined with individualized emotional counseling intervention on the basis of routine treatment and nursing care,with an intervention period of 4 weeks.The Generalized Anxiety Disorder Scale(GAD-7),Patient Health Questionnaire Depression Scale(PHQ-9)and Pittsburgh Sleep Quality Index(PSQI)were used to evaluate patients within 24 hours after admission and after 4 weeks of intervention.Results A total of 72 patients completed the study,with 36 in the experimental group and 36 in the control group.Before and after intervention,the scores of GAD-7,PHQ-9,and PSQI in the experimental group were compared,and the dif-ferences were statistically significant(P＜0.001).After the intervention,the GAD-7 score in the experimental group was(7.89±3.15),which was lower than(10.14±4.41)in the control group.The PHQ-9 score was(12.33±4.08)in the ex-perimental group,which was lower than(14.64±5.34)in the control group.The PSQI score was(12.39±3.06)points,which was lower than(14.22±3.37)in the control group,and the differences were statistically significant(P＜0.05).Conclusion The application of Traditional Chinese Medicine's five-element music therapy combined with individual-ized emotional guidance intervention can effectively improve the sleep quality and help alleviate negative emotions in patients with liver depression and spleen deficiency type of autoimmune liver disease.