Objective To develop a Knowledge-Attitude-Practice Questionnaire for Nursing Assistants on Humanistic Care and test its reliability and validity,in order to provide a valid tool for evaluating their humanistic care competence.Methods Based on the theory of knowledge,attitude and practice,the first draft of the questionnaire was developed through literature review,semi-structured interviews,2 rounds of Delphi expert consultation,and pre-surveys.All nursing assistants from 4 tertiary hospitals in Hubei Province were investigated by convenient sample,and the reliability and validity were tested from May to July,2024.Results 412 questionnaires were distributed and 399 valid questionnaires were recovered,with a valid questionnaire recovery rate of 96.84％.The final knowledge-attitude-practice questionnaire include 3 dimensions of knowledge,attitude and practice,with a total of 24 items and cumulative contribution rate was 65.338％.The CVI of each item in the questionnaire ranged from 0.800 to 1.000,with an average of 0.981.The confirmatory factor analysis showed that the scale model had a good fit.The total Cronbach's α coefficient of the questionnaire was 0.941,and the test-retest reliability coefficient of the questionnaire after 2 weeks was 0.923.Conclusion The knowledge-attitude-practice questionnaire has good reliability and validity,and it can be used as a valid tool for evaluating the competence of humanistic care of nursing assistants.

Objective:To investigate the supervisor-student relationship experience of nursing postgraduates from the perspective of humanistic care, identify the influencing factors for students' care experience, and provide a reference for building a good supervisor-student relationship pattern with humanistic care.Methods:Objective sampling was used to enroll 15 nursing postgraduates from colleges and universities in Wuhan, Hubei Province, Beijing, and Guangzhou, Guangdong Province. A semi-structured interview was then conducted in the students. Nvivo 12 software and the Colaizzi seven-step analysis method were used for sorting and analysis of the interview data.Results:Five themes and 15 sub-themes (namely, daily interpersonal interaction, academic interaction, emotional communication, internal growth, and professional literacy) were extracted. Among these themes, equal communication and mental health care were of particular concern to the students. The nursing postgraduates also expected their tutors to provide care in their daily life and help them develop three essential values.Conclusions:The supervisor-student relationship from the perspective of humanistic care is becoming more individualized and diversified. The tutors should provide multidimensional care to nursing postgraduates based on the students' personal characteristics. Meanwhile, they should focus on developing students' humanistic care abilities to cultivate high-level nursing professionals with a high humanistic care foundation.

The symptom science model identifies complex symptoms and measures their phenotypic characteristics.It provides an in-depth analysis of symptom behaviors and biological mechanisms,aiding healthcare professionals in early symptom detection and initiating appropriate diagnostic and treatment measures.The model supports personalized interventions,aiming to achieve precision care and ultimately improve patient health.This study reviews the development and scope of the symptom science model,analyzes its current applications in chronic kidney disease,and explores its implications for symptom management in this condition.The aim is to offer insights and references for the scientific management of chronic kidney disease symptoms.

Nucleotide analogues (NAs) and interferon are still the first-line drugs for the treatment of chronic hepatitis B (CHB), but they still cannot completely eliminate covalently closed circular DNA (cccDNA) within hepatocytes. The clinical cure, or the disappearance of HBsAg, is the ideal goal of antiviral therapy. Although interferon therapy has a significantly greater HBsAg clearance rate and seroconversion rate than NAs, combination or sequential treatment can improve the HBsAg clearance rate and seroconversion rate to a certain extent, and only a small proportion of CHB patients can achieve clinical cure. Therefore, finding indications that predict clinical cure before and during antiviral treatment is crucial for identifying patients who are more likely to achieve HBsAg clearance at an early stage, improving clinical cure rates, and reducing treatment costs. This article reviews the research progress on predictive indicators of clinical cure of chronic hepatitis B in the past five years, explores the value of each indicator in predicting clinical cure, and provides a reference for optimizing CHB treatment strategies.

Objective To utilize single-cell and peripheral blood transcriptomic data from 3D brain organoids,combined with machine learning,to analyze the role of mitochondrial autophagy genes in schizophrenia(SCZ).Methods By integrating two machine learning algorithms,we identified differentially expressed mitochondrial autophagy-related genes between schizophrenia patients and healthy controls using peripheral blood RNA sequencing data.The relationship between mitophagy gene,immune cells and inflammatory factors was further explored.Comprehensive single-cell analysis was used to explore the signaling pathways and specific transcription factors based on mitophagy genes.Results Using machine learning,seven key mitophagy genes expressed in schizophrenia patients were identified.Based on Mitoscore analysis,at the single-cell level,neurons with high mitochondrial autophagy activity(Mitohigh_Neuron)formed new interactions with endothelial cells via the SPP1 signaling pathway.Conclusion This study identified two subtypes of mitophagy and seven key mitophagy genes in schizophrenia,providing new insights into the pathogenesis of the disease.