OBJECTIVE: Myocardial inflammation during myocardial infarction (MI) could be inhibited by regulating arachidonic acid (AA) metabolism. Recent studies demonstrated that Sini Decoction (SND) was identified to be an effective prescription for treating heart failure (HF) caused by MI. But the anti-inflammatory mechanism of SND remained unclear. The work was designed to investigate the anti-inflammatory mechanism of SND through the AA metabolism pathway in vitro and in vivo experiments. METHODS: An inflammatory injury model of H9c2 cells was established by lipopolysaccharide (LPS)-stimulated macrophage-conditioned medium (CM). The MI model was built by the ligation of left anterior descending (LAD) branch of coronary artery in rat. Meanwhile, the rats were divided into five groups: sham group, MI group, MI + Celecoxib group, MI + low-dose SND group (SND-L) and MI + high-dose SND group (SND-H). Cardiac function, histopathological changes and serum cytokines were examined four weeks later. Western blot analysis was conducted to verify the key enzymes levels in the AA metabolic pathway, including phospholipase A2 (PLA2), cyclooxygenases (COXs) and lipoxygenases (LOXs). RESULTS: These in vivo results demonstrated that SND could improve the cardiac function and pathological changes of rats with MI, and regulate the key inflammatory molecules in the AA metabolism pathway, including sPLA2, COX-1, COX-2, 5-LOX and 15-LOX. In vitro, SND could decrease the release of pro-inflammatory cytokines including TNF-α and IL-6 and inhibit cell apoptosis in CM-induced H9c2 cells. Moreover, SND could protect H9c2 cells from the damage of CM by regulating nuclear factor kappa-B (NF-κB) signal pathway and the expression of COX-2. CONCLUSION SND may be a drug candidate for anti-inflammatory treatment during MI by regulating the multiple targets in the AA metabolism pathway.

Objective:To systematically integrate the qualitative research on effective pain management disorders of cancer patients and caregivers, and to provide reference for patients and caregivers to safely and effectively implement cancer pain management.Methods:The qualitative studies on the experiences and obstacles of cancer patients and caregivers in cancer pain management were retrieved from electronic databases of PubMed, Web of Science, Cochrane Library, Embase, CINAHL, China National Knowledge Infrastructure, China Biology Medicine, VIP and Wanfang data from inception to September 2023. The quality of the literature was evaluated according to Joanna Briggs Institute Evidence Based Healthcare Center Critical Appraisal Tool for qualitative studies in Australia. Meta-synthesis was used to conduct the synthesis.Results:A total of 9 articles were included, and 46 research results were extracted, forming 14 categories, which were further summarized into 4 integrated results: patient-related pain management disorders, caregiver-related pain management disorders, medical staff-related pain management disorders, and health care system-related pain management disorders.Conclusions:Multiple factors cause obstacles for cancer patients and caregivers to participate in pain management. Medical staff should have a deep understanding of patients′pain problems and explore pain management plans and interventions suitable for cancer patients, so as to reduce the degree of cancer pain management obstacles.

Objective:To develop the Economic Toxicity Scale for Kidney Transplantation Patients, and to test the reliability and validity of the scale.Methods:Drawing upon Coleman′s social capital theory and the six subfields associated with economic toxicity put forward by European scholars, the initial version of the scale was developed via expert correspondence consultation and a preliminary survey. This was accomplished by building upon existing literature and conducting semi-structured interviews. A total of 261 cases of kidney transplantation patients from March to October 2022 admitted to the First Affiliated Hospital of Shandong First Medical University were investigated for reliability and validity test.Results:The Economic Toxicity Scale for Kidney Transplantation Patients included 6 dimensions, 31 entries. The total scale had a Cronbach alpha coefficient of 0.910 and the subscale had Cronbach alpha coefficient ranging from 0.798 to 0.943. The retest reliability coefficient for the total scale was 0.948, while the six dimensions ranged from 0.732 to 0.942.Conclusions:The scale demonstrates strong reliability and validity, making it a reliable tool for objectively evaluating the economic toxicity of kidney transplantation patients.

Objective:To evaluate the influence of different teaching modes in the creativity of nursing students in China.Methods:A systematic search of PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, Chinese Biomedical Literature Database and VIP Database were carried out. Randomized control trials (RCTs) examining the influence of different teaching modes in the creativity of nursing students were included from inception to March 5, 2023. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies according to the Cochrane Handbook for Systematic Reviews of Interventions and combined with the Grading of Recommendation, Assessment, Development, and Evaluation (GRADE), then network Meta-analysis with random effects was performed by using WinBugs 1.4.3 and Stata 17.0 software.Results:A total of 63 studies involving 22 teaching modes were included. The network Meta-analysis showed that Case-based Learning Mode, Evidence-based Nursing Teaching Mode, 3D Printing Model Teaching Mode, Hands-on Inquiry Based Learning, Quality Control Circle Teaching Mode, Six Thinking Hats Teaching Mode, Theory, Drill, Practice, Combine (TDPC, T:theory; D:drill; P:practice; C:combine) Teaching Mode were more effective than Lecture-based Learning Mode ( SMD values were 4.61-22.51, all P<0.05). Sensitivity analysis showed the effectiveness of TDPC Teaching Mode was the greatest in nursing theoretical teaching[surface under the cumulative ranking (SUCRA)=98.08%], the Quality Control Circle Teching Mode was the second most effective (SUCRA=83.13%). The effectiveness of Six Thinking Hats Teaching Mode was the greatest in nursing practical teaching (SUCRA=95.73%), followed by the 3D Printing Model Teching Mode (SUCRA=86.97%). Conclusions:TDPC Teaching Mode, Six Thinking Hats Teaching Mode, 3D Printing Model, Quality Control Circle Teaching Mode were superior to other teaching modes in improving creativity of nursing students.

Objective:To systematically evaluate qualitative studies on the perceptions and feelings of nursing staffs implementing neonatal palliative care, aiming to provide insights for advancing clinical practice in China.Methods:The databases including China National Knowledge Infrastructure, Wanfang, VIP, Chinese Biomedical Literature Database, PubMed, CINAHL, Embase, Cochrane Library, Web of Science, and PsycINFO were included to retrieve the literature on the perceptions and feelings of nursing staffs from inception until March 28, 2024. The literature quality was assessed utilizing the Joanna Briggs Institute Australian Centre for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research (2016), and the findings were synthesized through Meta-integration techniques.Results:A total of 12 studies were included, yielding 46 themes were extracted; 8 categories were summarized and 3 synthesis results were obtained: nursing staffs experience both negative and positive aspects, the real-life challenges faced by nursing staffs in implementing neonatal palliative care, and the practical experiences and needs of nursing staffs regarding neonatal palliative care.Conclusions:It is crucial to continually address nursing staffs′ negative emotions and tackle challenges related to staffing, training, communication, and ethical dilemmas to ensure appropriate end-of-life symptom management in neonatal palliative care.

Objective:To systematically evaluate and integrate the qualitative research of nursing students participating in hospice care practice experience, to provide a basis for the better development of hospice care education.Methods:A computer search was conducted on the China national knowledge infrastructure, Chinese Biomedical Literature Database, VIP database, Wanfang Medical Database, Cochrane Library, Embase, Web of Science, and PubMed for qualitative research on nursing students' participation in hospice care practices. The search period was from the establishment of the database to February 2023. The quality of the included literature was evaluated using the qualitative research quality evaluation criteria of the Australian JBI Evidence Based Health Care Center. A aggregative integration method was used for result integration.Results:A total of 16 articles were included, and 46 major research results were extracted and summarized into 9 new categories, forming 4 integrated results: providing hospice care services for patients and their families; emotional experience of nursing dying patients; coping with negative experience and harvesting personal growth; needs and difficulties.Conclusions:Nursing students experience multiple emotional experiences in hospice care practice, and are eager to help and support in various aspects. It is suggested for managers to pay attention to the inner experience and needs of nursing students, improve hospice care education in China, and improve the end-of-life care ability of nursing students.

Objective To observe the value of 18F-FDG PET/CT semi-quantitative parameters for predicting spread through air spaces(STAS)of clinical stage Ⅰa—Ⅲa lung adenocarcinoma.Methods Data of 85 patients with clinical stage Ⅰa—Ⅲ a lung adenocarcinoma who underwent preoperative 18F-FDG PET/CT were retrospectively analyzed.The patients were divided into positive group(n=23)or negative group(n=62)according to whether pathology showed STAS or not.Clinical and PET/CT data were compared between groups,and logistic analysis was performed to explore the efficacy of each parameter for predicting STAS.Results Significant differences of gender,carcinoma embryonic antigen,clinical stage,pathological grade,micropapillary growth and proportion were found between groups(all P＜0.05).The maximum,the mean,the peak standard uptake value(SUVmax,SUVmean,SUVpeak),as well as the maximum,the mean and the peak standard uptake value normalized by lean body mass(SULmax,SULmean,SULpeak),also the total lesion glycolysis(TLG)in positive group were all significantly higher than those in negative group(all P＜0.05).Patients'gender,proportion of micropapillary growth,SUVmax and SULmax were all independent risk factors of STAS of clinical stage Ⅰa—Ⅲa lung adenocarcinoma.The area under the curve(AUC)of the above parameters for predicting STAS was 0.666,0.912,0.839 and 0.842,respectively,and of the combination was 0.957.Conclusion 18 F-FDG PET/CT semi-quantitative parameters SUVmax and SULmax were helpful for predicting STAS of clinical stage Ⅰa—Ⅲ a lung adenocarcinoma,and further combination of gender and proportion of micropapillary growth could improve diagnostic efficacy.

Objective:To investigate the value of nomogram based on radiomics features of CT enterography (CTE) combined with clinical characteristics to predict secondary loss of response (SLOR) after infliximab (IFX) treatment in patients with Crohn′s disease (CD).Methods:This study was a case-control study. Clinical and imaging data of 155 patients with CD diagnosed at the First Affiliated Hospital of Anhui Medical University from March 2015 to July 2022 were retrospectively collected. The patients were divided into a training set ( n=108) and a testing set ( n=47) in the ratio of 7∶3 by stratified sampling method. All patients were treated according to the standardized protocol and were classified as SLOR (43 in the training set and 18 in the testing set) and non-SLOR (65 in the training set and 29 in the testing set) according to treatment outcome. Based on the data from the training group, independent clinical predictors of SLOR after IFX treatment were screened in the clinical data using univariate and multivariate logistic regression analysis to establish a clinical model. Intestinal phase images were selected to be outlined layer by layer along the margin of the lesion to obtain the volume of the region of interest to extract the radiomics features. The radiomics features were screened using univariate analysis and the minimum absolute shrinkage and selection operator to establish the radiomics model. Multivariate logistic regression analysis was used to build a combined clinical-radiomics model based on the screened clinical independent predictors and radiomics characters, then a nomogram was drawn. The predictive efficacy of the 3 models for SLOR after IFX treatment was assessed by receiver operating characteristic curves, and the area under the curve (AUC) was calculated. The decision curve analysis was applied to evaluate the clinical utility of the models. Results:Disease duration ( OR=1.983, 95% CI 1.966-2.000, P=0.046) and intestinal stenosis ( OR=1.246, 95% CI 1.079-1.764, P=0.015) were identified as the independent predictors of SLOR in the clinical data, and a clinical model was established. Totally 9 radiomics features were included in the radiomics model. The AUCs of clinical, radiomics, and combined models for predicting SLOR after IFX treatment in CD patients were 0.691 (95% CI 0.591-0.792), 0.896 (95% CI 0.836-0.955), and 0.910 (95% CI 0.855-0.965) in the training set, and 0.722 (95% CI 0.574-0.871), 0.866 (95% CI 0.764-0.968), and 0.889 (95% CI 0.796-0.982) in the testing set. Decision curve analysis in the testing set showed higher net clinical benefits for both the radiomics model and combined model than the clinical model, and combined model had higher net clinical benefits than the radiomics model over most threshold probability intervals. Conclusions:CTE-based radiomics model can effectively predict SLOR after IFX treatment in patients with CD, and a combined model by incorporating clinical characteristics of disease duration and intestinal stenosis can further improve the predictive efficacy.

Diabetic foot has become one of the heavy burdens of global public health problems. As a revolutionary emerging technology, artificial intelligence has the advantages of accuracy, intelligence and efficiency, which can make up for the shortcomings of traditional risk assessment, monitoring and management of diabetic foot. This paper reviews the application of artificial intelligence in risk prediction model of diabetic foot, wound image analysis, and intelligent wearable devices, analyzes the challenges and suggestions faced in technical barriers, data quality, and talent shortage, so as to provide a reference for the clinical practice of artificial intelligence in the field of diabetic foot.

This article provides an overview of metaverse medicine and summarizes the challenges faced by cancer patients, the applications and effects of metaverse medicine in this population, and the limitations and difficulties in clinical practice. These challenges include legal and ethical restrictions, as well as the need for further validation of clinical acceptability and feasibility. Researchers are encouraged to conduct extensive studies to refine the legal and regulatory frameworks, enhance the safety and adoption of metaverse medicine, and facilitate its localized development in cancer care.