Objective: To identify biomolecular markers closely related to the occurrence of kidney renal clear cell carcinoma (KIRC) and verify their expression levels in clinical samples. Methods: Stage Ⅰ KIRC mRNA sequencing data were obtained from The Cancer Genome Atlas (TCGA).Principal component analysis (PCA) was used for dimensionality reduction to screen differentially expressed genes (DEGs)，which then underwent GO and KEGG analyses.Weighted gene co-expression network analysis (WGCNA) was used to screen genes significantly related to KIRC，and a protein-protein interaction (PPI) network was constructed to screen hub genes.The diagnostic value of hub genes was evaluated with receiver operating characteristic (ROC) curve，and their prognostic value was analyzed using survival curve plots.The correlation between the mRNA expressions of hub genes and the pathological stages of KIRC was analyzed.Clinical samples of 20 patients with stage Ⅰ KIRC treated in our hospital were included，and the expressions of the hub genes in cancerous and adjacent tissues were detected with reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR)，Western blotting，and enzyme-linked immunosorbent assay (ELISA). Results: A total of 8223 DEGs were screened out，including 4092 up-regulated ones and 4131 down-regulated ones.GO analysis showed that DEGs were related to bioadhesion，plasma membrane composition，and transporter activity.KEGG analysis showed that DEGs were related to pathways such as cell adhesion molecules，cytokine-cytokine receptor interactions，and interactions between viral proteins and cytokines and cytokine receptors.WGCNA analysis obtained 171 genes that were significantly related to stage Ⅰ KIRC.The hub gene，lymphocyte cytosolic protein 2 (LCP2)，screened out by the PPI network，was significantly related to stage Ⅰ KIRC.The area under the ROC curve was 0.96.The expression level was negatively correlated with the overall survival rate of patients.The expression of LCP2 was related to the stage and lymph node metastasis.Clinical verification showed that the mRNA and protein relative expressions of LCP2 in KIRC tissues were significantly higher than those in adjacent tissues (P<0.000 1). Conclusion: LCP2 is significantly up-regulated in stage Ⅰ KIRC tissues and can be used as a potential biomarker for the early diagnosis and treatment of KIRC.

Objective To investigate the current nursing practice of nurses specializing in nutritional support in ICUs and analyze their influencing factors in order to improve the training program and promote the development of standardized and precise nursing practice.Methods Convenience sampling method was used to select nutritional support nurses in ICUs in 29 provinces(autonomous regions and municipalities)from October 2023 to March 2025,and the self-developed questionnaire on nursing practice behaviors of nutritional support nurses in ICUs was used to conduct the survey.SPSS 21.0 software was used for descriptive analysis and multiple linear regression analysis.Results A total of 774 questionnaires were distributed,and 766 valid questionnaires were collected,with a recovery rate of 98.97％,and the score of the questionnaire on nursing practice behaviors of nurses specializing in nutritional support in ICU was(90.41±1 1.82).The results of multiple linear regression analysis showed that gender,presence of a nutritional support nursing team in the hospital,a standardized process of nutritional support nursing in the department,clear positional responsibilities of the nutritional support nursing team members,and inclusion of the nutritional support status of the patients in the quality management of the department were the factors influencing the nursing practice behavior scores of the nurses specializing in nutritional support in ICUs(P＜0.05).Conclusion Nurses in the ICUs have a high level of nursing practice behavior,but there is a need for further standardization in parenteral nutrition infusion and monitoring of complications.ICU nursing managers should formulate improvement strategies to address the weaknesses of clinical practice,strengthen nutritional support training,and improve the quality management program,and further improve the practical ability of nurses specializing in nutritional support.

Objective To investigate the current nursing practice of nurses specializing in nutritional support in ICUs and analyze their influencing factors in order to improve the training program and promote the development of standardized and precise nursing practice.Methods Convenience sampling method was used to select nutritional support nurses in ICUs in 29 provinces(autonomous regions and municipalities)from October 2023 to March 2025,and the self-developed questionnaire on nursing practice behaviors of nutritional support nurses in ICUs was used to conduct the survey.SPSS 21.0 software was used for descriptive analysis and multiple linear regression analysis.Results A total of 774 questionnaires were distributed,and 766 valid questionnaires were collected,with a recovery rate of 98.97％,and the score of the questionnaire on nursing practice behaviors of nurses specializing in nutritional support in ICU was(90.41±1 1.82).The results of multiple linear regression analysis showed that gender,presence of a nutritional support nursing team in the hospital,a standardized process of nutritional support nursing in the department,clear positional responsibilities of the nutritional support nursing team members,and inclusion of the nutritional support status of the patients in the quality management of the department were the factors influencing the nursing practice behavior scores of the nurses specializing in nutritional support in ICUs(P＜0.05).Conclusion Nurses in the ICUs have a high level of nursing practice behavior,but there is a need for further standardization in parenteral nutrition infusion and monitoring of complications.ICU nursing managers should formulate improvement strategies to address the weaknesses of clinical practice,strengthen nutritional support training,and improve the quality management program,and further improve the practical ability of nurses specializing in nutritional support.

Objective:To describe the current status and research methods of external validation studies of risk prediction models conducted by nursing scholars in China.Methods:Using the search terms "predictive model, external validation, nursing, risk prediction, external validation, nursing" this study searched eight databases (China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Data, VIP, Embase, PubMed, CINAHL, and Web of Science) for studies published up to June 2023. Literature was imported into EndNote software for organization and deduplication. Two researchers independently conducted initial and secondary screenings by reading the titles, abstracts, and full texts of studies according to inclusion and exclusion criteria. Descriptive analysis was conducted on the included studies under the framework of the Joanna Briggs Institute (JBI) scoping review methodology.Results:A total of 70 studies (15 dissertations and 55 journal articles), primarily published from 2021 to 2023, were included. Among 246 risk prediction models constructed by nurses, 28.5% (70/246) underwent external validation. The models focused on issues such as infection, cognitive impairment, skin injury, thrombosis, and malnutrition. Most studies were conducted in single-center settings (71.4%, 50/70), with temporal validation being the most common type (67.1%, 47/70). The majority of models were presented as nomograms, though some studies had methodological issues in validation.Conclusions:In recent years, new prediction models for specific diseases or endpoints have continued to emerge from nursing research in China, yet few have undergone external validation for clinical application, and the quality and methods of validation require improvement. Future researchers should standardize and strengthen the external validation and optimization of risk prediction models, focusing on clinical applicability to enhance the practical value of these models.

Objective:To describe the current status and research methods of external validation studies of risk prediction models conducted by nursing scholars in China.Methods:Using the search terms "predictive model, external validation, nursing, risk prediction, external validation, nursing" this study searched eight databases (China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Data, VIP, Embase, PubMed, CINAHL, and Web of Science) for studies published up to June 2023. Literature was imported into EndNote software for organization and deduplication. Two researchers independently conducted initial and secondary screenings by reading the titles, abstracts, and full texts of studies according to inclusion and exclusion criteria. Descriptive analysis was conducted on the included studies under the framework of the Joanna Briggs Institute (JBI) scoping review methodology.Results:A total of 70 studies (15 dissertations and 55 journal articles), primarily published from 2021 to 2023, were included. Among 246 risk prediction models constructed by nurses, 28.5% (70/246) underwent external validation. The models focused on issues such as infection, cognitive impairment, skin injury, thrombosis, and malnutrition. Most studies were conducted in single-center settings (71.4%, 50/70), with temporal validation being the most common type (67.1%, 47/70). The majority of models were presented as nomograms, though some studies had methodological issues in validation.Conclusions:In recent years, new prediction models for specific diseases or endpoints have continued to emerge from nursing research in China, yet few have undergone external validation for clinical application, and the quality and methods of validation require improvement. Future researchers should standardize and strengthen the external validation and optimization of risk prediction models, focusing on clinical applicability to enhance the practical value of these models.

OBJECTIVE: To analyze the serological characteristics and molecular mechanism for an individual with p phenotype. METHODS: An individual with p phenotype upon blood group identification at Jiaxing Blood Center in May 2021 was analyzed. ABO, RhD and P1PK blood groups and irregular antibodies in her serum were identified using conventional serological methods. The encoding region of α1, 4-galactosyltransferase gene (A4GALT) encoding P1 and Pk antigens was analyzed by polymerase chain reaction-sequence-based typing (PCR-SBT). RESULTS: The individual was A group, RhD positive and had a p phenotype of the P1PK blood group system. Anti-PP1Pk was discovered in her serum. Sequencing analysis revealed that she has harbored a homozygous c.343A>T variant of the A4GALT gene. CONCLUSION The homozygous c.343A>T variant of the A4GALT gene probably underlay the p phenotype in this individual.
Female ; Animals ; Blood Group Antigens ; Homozygote ; Phenotype ; Polymerase Chain Reaction ; Sequence Analysis, DNA

By collecting 475 protocol violation reports of pediatric clinical trials accepted by the ethics committee of a grade A tertiary hospital from January 2016 to December 2022, and conducting classification statistics of the responsible body, types of violation, and natures of violation, this paper analyzed and discussed the specific reasons and response measures for protocol violation. The results showed that the most common types of protocol violation included missed medication and incorrect medication dosage for pediatric research participants, missed laboratory inspection, over-windowed follow-up, and non-compliance with inclusion/exclusion criteria. And the responsibility bodies were pediatric research participants and/or their guardians, followed by the researchers. Besides, the sponsor, clinical trial coordinator, and other factors also contributed to protocol violation. Establishing awareness of responsible body, emphasizing subject management, building sound quality control system, and strengthening ethical supervision are the main countermeasures to prevent and reduce protocol violation in pediatric clinical trials, which helps to protect the safety and rights of pediatric research participants and promote standardized research in pediatric clinical trials.

Objective:To provide data support for the improvement of aeromedical support by summarizing the disease characteristics and analyzing the change pattern of disease spectrum for the temporarily grounded military flying personnel assessed in the annual physical examination.Methods:The clinical data of military flying personnel who were assessed as temporary grounding in the annual physical examination in Air Force Healthcare Center for Special Services Hangzhou from 2012 to 2021 were retrospectively analyzed. They were divided into 2012—2016 group and 2017—2021 group with a 5-year span. The distributions of disease, age and aircraft type were statistically compared between 2 groups of temporarily grounded military flying personnel.Results:A total of 522 flying personnel, aged from 23-55 years and flew 100-20 000 h, were enrolled. There were 242 cases in 2012—2016 group and 280 cases in 2017—2021 group. Compared with 2012—2016 group, 2017—2021 group was found 9 new diseases. Among the top 10 diseases in 2017—2021 group, the proportion of pulmonary nodules, hypertension, diabetes, abnormal tumor indicators, positive fecal occult blood was increased, and the proportion of thyroid nodules, abnormal liver function, arrhythmia was decreased. There was a significant difference in the age distribution between 2 groups of temporarily grounded military flying personnel ( χ2=20.97, P<0.001). The proportion of flying personnel aged ≥40 years old was increased in 2017—2021 group. The proportion of fighter-trainer pilots and bomb-transporter flying personnel increased in 2017—2021 group, and the difference was significant ( χ2=14.66, P=0.001). Conclusions:In recent years, more diseases, mostly occult diseases, are found in the disease spectrum of the temporarily grounded military flying personnel. Since some insidious diseases require more time to observe their convalescent effect and the influence to flight but the routine phone follow-up is called within 2 months of discharge, so a long-term and effective follow-up mechanism is suggested.

Objective:To provide data support for the improvement of aeromedical support by summarizing the disease characteristics and analyzing the change pattern of disease spectrum for the temporarily grounded military flying personnel assessed in the annual physical examination.Methods:The clinical data of military flying personnel who were assessed as temporary grounding in the annual physical examination in Air Force Healthcare Center for Special Services Hangzhou from 2012 to 2021 were retrospectively analyzed. They were divided into 2012—2016 group and 2017—2021 group with a 5-year span. The distributions of disease, age and aircraft type were statistically compared between 2 groups of temporarily grounded military flying personnel.Results:A total of 522 flying personnel, aged from 23-55 years and flew 100-20 000 h, were enrolled. There were 242 cases in 2012—2016 group and 280 cases in 2017—2021 group. Compared with 2012—2016 group, 2017—2021 group was found 9 new diseases. Among the top 10 diseases in 2017—2021 group, the proportion of pulmonary nodules, hypertension, diabetes, abnormal tumor indicators, positive fecal occult blood was increased, and the proportion of thyroid nodules, abnormal liver function, arrhythmia was decreased. There was a significant difference in the age distribution between 2 groups of temporarily grounded military flying personnel ( χ2=20.97, P<0.001). The proportion of flying personnel aged ≥40 years old was increased in 2017—2021 group. The proportion of fighter-trainer pilots and bomb-transporter flying personnel increased in 2017—2021 group, and the difference was significant ( χ2=14.66, P=0.001). Conclusions:In recent years, more diseases, mostly occult diseases, are found in the disease spectrum of the temporarily grounded military flying personnel. Since some insidious diseases require more time to observe their convalescent effect and the influence to flight but the routine phone follow-up is called within 2 months of discharge, so a long-term and effective follow-up mechanism is suggested.

With the improvement of the complexity of medical image synthesis and the demand for the accuracy of clinical radiotherapy, deep learning algorithm plays an increasingly important role in pseudo CT image synthesis and analysis. This paper classifies and analyzes the pseudo CT image synthesis technology based on deep learning method in terms of the types of image modes, and describes the ongoing application in radiotherapy.