[Efficiency of different large language models in China in response to consultations about PCa-related perioperative nursing and health education].

OBJECTIVE: To evaluate the efficiency of the four domestic language models, ERNIE Bot, ChatGLM2, Spark Desk and Qwen-14B-Chat, all with a massive user base and significant social attention, in response to consultations about PCa-related perioperative nursing and health education. METHODS: We designed a questionnaire that includes 15 questions commonly concerned by patients undergoing radical prostatectomy and 2 common nursing cases, and inputted the questions into each of the four language models for simulation consultation. Three nursing experts assessed the model responses based on a pre-designed Likert 5-point scale in terms of accuracy, comprehensiveness, understandability, humanistic care, and case analysis. We evaluated and compared the performance of the four models using visualization tools and statistical analyses. RESULTS: All the models generated high-quality texts with no misleading information and exhibited satisfactory performance. Qwen-14B-Chat scored the highest in all aspects and showed relatively stable outputs in multiple tests compared with ChatGLM2. Spark Desk performed well in terms of understandability but lacked comprehensiveness and humanistic care. Both Qwen-14B-Chat and ChatGLM2 demonstrated excellent performance in case analysis. The overall performance of ERNIE Bot was slightly inferior. All things considered, Qwen-14B-Chat was superior to the other three models in consultations about PCa-related perioperative nursing and health education. CONCLUSION: In PCa-related perioperative nursing, large language models represented by Qwen-14B-Chat are expected to become powerful auxiliary tools to provide patients with more medical expertise and information support, so as to improve the patient compliance and the quality of clinical treatment and nursing.

Metabolite Comparison between Spleen-Deficiency and Healthy Children.

Objective: From the perspective of metabolomics, this study compares the metabolomics characteristics of feces and urine between children with spleen-deficiency and healthy children to explain the scientific connotation of children with spleen-deficiency susceptibility to digestive system diseases from the metabolic level and provide a scientific basis for further research. Methods: This study included 20 children with spleen-deficiencies and 17 healthy children. Children's symptom scores, height, and weight were recorded in groups, and feces and urine samples were collected. The samples were detected using ultrahigh-performance liquid chromatography-mass spectrometry. The data were analyzed using multivariate statistical analysis such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). Related differential metabolites were identified through database comparisons between two groups based on the MS and KEGG. Results: Compared to healthy children, the metabolites glucuronic acid, xanthine, and indole-3-acetaldehyde tend to be reduced in children with spleen-deficiency. Moreover, these children showed an increase in metabolites such as quinic acid, adenine, 4-methyl-5-thiazole-ethanol, 3-formyl indole, and 5-hydroxy indole-3-acetic acid. The condition affected many of the critical metabolic pathways, including the metabolism of tryptophan, cysteine, methionine, and pentose phosphate. Conclusion: The children with spleen-deficiency had disorders at the metabolic level, which might be due to factors such as diet, personal preferences, and genes, leading to various symptoms, making spleen-deficiency children more prone to suffer from digestive diseases than healthy children. The results set a basis for the research on children's TCM constitution, which can be a reference to further studies to deal with the spleen-deficiency.

[Nursing research progress of stigma for patients with benign prostatic hyperplasia].

Benign prostatic hyperplasia (BPH) commonly occurs in middle-aged and elderly men, affecting their physical health while also triggering varying degrees of stigma. This leads to reduced treatment compliance and a lower quality of life for patients. This article elaborates on the conceptual development of stigma, the current state of stigma in BPH patients, sources and impacts of stigma, tools for investigating stigma, and intervention measures. The aim is to enhance medical professionals' understanding of stigma and provide a basis for effective nursing interventions.

Sex differences in immune responses to SARS-CoV-2 in patients with COVID-19.

Millions of people infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been diagnosed with coronavirus infectious disease 2019 (COVID-19). The prevalence and severity of COVID-19 differ between sexes. To explain these differences, we analyzed clinical features and laboratory values in male and female COVID-19 patients. The present study included a cohort of 111 people, i.e. 36 COVID-19 patients, 54 sex- and age-matched common viral community-acquired pneumonia (CAP) patients, and 21 healthy controls. Monocyte counts, lymphocyte subset counts, and alanine aminotransferase (ALT), aspartate aminotransferase (AST), and C-reactive protein (CRP) levels in the peripheral blood were analyzed. Higher Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, monocyte counts, and CRP and ALT levels were found in male COVID-19 patients. Decreased lymphocyte subset counts and proportions were observed in COVID-19 patients, except for the CD3+ and CD8+ T cell proportions. The lower CD4+ T cell proportions and higher CD8+ T cell proportions were observed in male and severe COVID-19 patients and the differences were independent of estrogen level. The CD4+ T cell proportion was negatively associated with the CD8+ T cell proportion in male COVID-19 patients; this correlation was non-significant in females. Our work demonstrates differences between sexes in circulating monocyte counts and CD4+ T cell and CD8+ T cell proportions in COVID-19 patients, independent of estrogen levels, are associated with the clinical manifestations in COVID-19 patients with high specificity.