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.

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 paper introduces the concept of natural language processing, summarizes the status quo and advantages of the application of natural language processing based on electronic health records in symptom management of cancer patients, points out the existing shortcomings, and puts forward corresponding suggestions, aiming to provide reference for further improving the quality of nursing services for cancer patients in China and promoting the informatization and digitization of hospice care.

Electronic Health Records (EHRs) are digital health tools that support comprehensive care and digital services. This paper provides an overview of EHRs, summarizes their current applications in palliative care, and proposes solutions to address issues in the use of EHRs in this field. The aim is to offer reference points for promoting the application of EHRs in palliative care in China.

The Death Cafe has promoted globally, breaking the silence and taboo surrounding death, allowing the public to freely discuss topics related to death and end-of-life, raising public awareness of death, and promoting public thinking and understanding of death. This paper reviews the overview of Death Cafe and its application in palliative care, in order to provide reference for the research and practice of palliative care in China.

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.

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.