Objective: This study systematically reviews and meta-analyzes existing risk prediction models for diabetic kidney disease (DKD) among patients with type 2 diabetes, aiming to provide references for scholars in China to develop higher-quality risk prediction models.Methods: We searched databases including China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP Chinese Science and Technology Journal Database, Chinese Biomedical Literature Database (CBM), PubMed, Web of Science, Embase, and the Cochrane Library for studies on the construction of DKD risk prediction models among type 2 diabetes patients, up until 28 December 2023. Two researchers independently screened the literature and extracted and evaluated information according to a data extraction form and bias risk assessment tool for prediction model studies. The area under the curve (AUC) values of the models were meta-analyzed using STATA 14.0 software.Results: A total of 32 studies were included, with 31 performing internal validation and 22 reporting calibration. The incidence rate of DKD among patients with type 2 diabetes ranged from 6.0% to 62.3%. The AUC ranged from 0.713 to 0.949, indicating the prediction models have fair to excellent prediction accuracy. The overall applicability of the included studies was good; however, there was a high overall risk of bias, mainly due to the retrospective nature of most studies, unreasonable sample sizes, and studies conducted in a single center. Meta-analysis of the models yielded a combined AUC of 0.810 (95% CI: 0.780–0.840), indicating good predictive performance.Conclusion: Research on DKD risk prediction models for patients with type 2 diabetes in China is still in its initial stages, with a high overall risk of bias and a lack of clinical application. Future efforts could focus on constructing high-performance, easy-to-use prediction models based on interpretable machine learning methods and applying them in clinical settings.Registration: This systematic review and meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, a recognized guideline for such research.Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42024498015.

Acne vulgaris is a chronic inflammatory skin disease in which the influence of gut microbiota has been implicated but without clarification of mechanisms. Gut microbiota may exert such an influence via metabolites, particularly those of tryptophan. End metabolites of tryptophan activate receptors, including aryl hydrocarbon, G protein-coupled, and pregnane X receptors to stabilize the immune microenvironment and intestinal mucosal homeostasis. Any impact on the pathogenesis of acne vulgaris remains unclear. The current review collates recent advances concerning potential roles of tryptophan metabolism in mediating skin inflammation, follicular sebaceous gland function and intestinal permeability, all of which influence the pathogenesis of acne vulgaris. The aim was to improve understanding of the pathogenesis of acne vulgaris and to expose therapeutic opportunities.

Purpose. This study aimed to investigate nurses’ perceptions of spirituality and spiritual care and perceived professional benefits in China and reveal the relationship between them. Design and Methods. In this study, 372 nurses (response rate: 93.47%) from a number of hospitals across China were surveyed using convenience sampling. The data were collected through online questionnaires, including a sociodemographic characteristics form, the Chinese version of the Spiritual Care‐Giving Scale (C‐SCGS), and the Nurses’ Perceived Professional Benefits Questionnaire (NPPBQ). Findings. The total score of the NPPBQ was 136.88 ± 20.13. A statistically significant relationship was found between the total score and subscale score of the C‐SCGS and the total score and subscale score of the NPPBQ (R = 0.217–0.475, P < 0.01). Practice Implications. Nursing managers and educators should pay attention to improving nurses’ perceptions of spirituality and spiritual care in order to help nurses gain more perceived professional benefits.

Objective: This study aims to examine nursing professional pride levels in blood purification center nurses, explore its relationship with adversity quotient and grit, and identify influencing factors.Methods: Using convenience sampling, this study selected 231 nurses from blood purification centers at 11 tertiary hospitals in China during July to August 2023 as research subjects. A general data survey questionnaire, nurse professional pride scale, nurse adversity quotient self-assessment scale, and the Oviedo resilience scale were employed for the investigation. The results were statistically analyzed using descriptive analysis, t-tests, one-way ANOVA, Pearson correlation analysis, and multiple stepwise linear regression analysis.Results: In the blood purification center, the average scores were as follows: nursing professional pride (69.53 ± 15.21), adversity quotient (132.90 ± 41.10), and grit (30.95 ± 10.54). There was a significant positive correlation between nursing professional pride, adversity quotient, and grit (P < 0.001). Multiple linear regression analysis (n = 231) revealed that education background, professional title, average monthly income, adversity quotient, and grit significantly influenced nursing professional pride (P < 0.001). The R² value indicates that this study accounted for 76.2% of the total variance in nursing professional pride.Conclusion: The findings of this study indicate that blood purification center nurses have a moderate level of nursing professional pride. The level of nursing professional pride can be enhanced by focusing on factors such as adversity quotient and grit.Registration: This study was approved by the Ethics Committee of Pidu District People's Hospital, Chengdu, China (2021 No. 231). All participants were informed of the relevant information and research purposes before their participation. Participants were also required to independently and anonymously complete the questionnaires.

Introduction: Learning engagement refers to the sustained and positive psychological state that students exhibit during the learning process. It significantly influences nursing students’ academic performance, knowledge acquisition, higher-order thinking skills development, and the assessment of their career potential. However, due to the influence of traditional teaching models, the current level of learning engagement among nursing students in Chinese vocational colleges is generally low, and the differences between various student groups have not yet been fully explored. Methods: Using convenience sampling, a multicenter cross-sectional survey was conducted from January to March 2025 among nursing students from five vocational colleges in Sichuan Province. The study employed the Learning Engagement Scale, Academic Self-Efficacy Scale, and Academic Emotions Scale for College Students. Results: A total of 2,624 nursing students were included. Learning engagement profiles were categorized into: active-deep type (19.4%), moderate-participatory type (64.1%), and passive-compliant type (16.5%). Gender, place of origin, student leadership experience, academic performance, academic emotions, and self-efficacy for learning behaviors were significant influencing factors ( p < 0.05). Discussion: The learning engagement of vocational nursing students is at a moderate level and exhibits group heterogeneity, which can be categorized into three potential profile types. Factors such as gender, place of origin, student leadership experience, academic performance, academic emotions, and self-efficacy in learning behaviors are influential in determining different categories of learning engagement.

To explore the trajectory of cognitive function changes and influencing factors in maintenance hemodialysis (MHD) patients. A convenience sampling method was used to select MHD patients from a tertiary hospital in Chengdu from August 2023 to April 2024. The general information questionnaire, Chinese version of the Montreal Cognitive Assessment (MoCA), Pittsburgh Sleep Quality Index (PSQI), Appetite Visual Analogue Scale (VAS), and Family Care Index (APGAR) were used for the investigation. Patients' cognitive function levels were assessed at baseline and at 3, 6, and 9 months after the initial survey. A latent growth model was used to identify potential categories of cognitive function trajectory, and univariate and binary logistic regression analyses were performed to analyze the influencing factors. A total of 154 MHD patients completed the entire study. The trajectory of cognitive function changes was divided into two potential categories: low cognitive function-fast decline group and high cognitive function-slow decline group. Binary logistic regression results showed that educational level, hypertension, sleep quality, appetite, and family care were influencing factors for the trajectory of cognitive function changes in MHD patients. Cognitive function in MHD patients showed an overall declining trend over time. The cognitive function change trajectory could be divided into two potential categories: fast decline group and high cognitive function-slow decline group. Healthcare professionals can develop targeted nursing intervention programs based on the characteristics of different patient types and their influencing factors to improve cognitive function and enhance quality of life.