Objective: To elucidate the biological basis of traditional Chinese medicine (TCM) syndromes from the perspective of “same syndrome, different diseases” in patients with chronic hepatitis B (CHB), liver cirrhosis (LC), and hepatocellular carcinoma (HCC), thereby providing a complementary approach for the diagnosis and treatment of chronic liver diseases (CLD). Methods: To investigate the dynamic characteristics of TCM syndromes in CLD, transcriptomic profiling of peripheral blood mononuclear cells (PBMCs) was performed from patients with CHB, LC, or HCC presenting with three TCM syndromes: liver gallbladder dampness heat syndrome (LGDHS), liver depression spleen deficiency syndrome (LDSDS), and liver kidney Yin deficiency syndrome (LKYDS). These participants were recruited at Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine between August 1, 2018 and December 31, 2021. Differentially expressed genes (DEGs) were identified using the random variance model (RVM) F test with false discovery rate (FDR) correction. Principal component analysis (PCA) and unsupervised hierarchical clustering were applied to visualize sample grouping. Dynamic network biomarkers (DNB) analysis was employed to detect critical transition stages during syndrome evolution, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses to characterize the functional roles and pathway involvement of the DNB members. Random forest (RF) analysis and the area under the receiver operating characteristic (ROC) curves (AUC) were used to rank the importance of candidate genes. External validation was performed using microarray data from an independent CLD cohort (GSE89377) and RNA-seq data from The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) dataset. Additionally, reverse transcription quantitative polymerase chain reaction (RT-qPCR) was performed on an independent cohort of LC patients to validate the expression levels of the candidate genes. Results: The study included a total of 132 participants. DNB analysis identified LDSDS stage as a critical tipping point during TCM syndrome evolution across CHB, LC, and HCC. The phosphoinositide 3-kinase/protein kinase B (PI3K-AKT) signaling pathway was consistently enriched in the DNB analysis across all three types of CLD, suggesting its potential involvement in the critical transition of TCM syndromes. Among the 24 core DNB members of the PI3K-AKT pathway, four genes—integrin subunit beta 1 (ITGB1), collagen type IV alpha 1 chain (COL4A1), collagen type IV alpha 2 chain (COL4A2), and DNA damage inducible transcript 3 (DDIT3)—were identified by RF analysis (Gini score > 1) and ROC analysis. ROC analysis demonstrated high discriminative ability for distinguishing LGDHS from LKYDS in CHB patients, with AUC of 0.7891 for ITGB1, 0.7070 for COL4A1, 0.7148 for COL4A2, and 0.8945 for DDIT3. In the independent CLD cohort (GSE89377), all four genes showed significant stepwise upregulation from normal to CHB, LC, and HCC (all P < 0.05). In the TCGA-LIHC dataset, their expression progressively increased with tumor stage. RT-qPCR validation in an independent LC cohort (30 LGDHS vs. 30 LKYDS) confirmed that ITGB1, COL4A2, and DDIT3 were significantly upregulated in LKYDS compared with LGDHS (P = 0.0152, 0.0186, and 0.0247, respectively), whereas COL4A1 showed a non-significant upward trend (P = 0.1201). Conclusion This study introduces a novel approach to understanding the molecular features underlying TCM syndrome evolution in CLD. The PI3K-AKT pathway and four identified genes (ITGB1, COL4A1, COL4A2, and DDIT3) play crucial roles in the transition from excess (LGDHS) to deficiency (LKYDS) via the critical LDSDS stage. These findings offer potential quantitative biomarkers and therapeutic targets for TCM syndrome differentiation and may help arrest syndrome progression in CLD.

Reconstruction of low-dose CT image faced problems such as low resolution,blurred artifacts and strong noise.Deep learning reconstruction met the needs of reducing radiation dose and improving imaging quality,promoted reconstruction of CT image towards high efficiency,intelligence and integration of clinical diagnosis and treatment.The research progresses in deep learning low-dose CT imaging reconstruction were reviewed in this article.

Druggability evaluation is one of the core processes in new drug development, yet the inaccuracy and high cost of existing in vitro liver models have been a major technical bottleneck, leading to an increasing demand from the pharmaceutical industry for reliable in vitro liver models to enhance the efficiency of new drug research and development. Traditional animal models and in vitro 2D culture models have their limitations in simulating in vivo physiological and pathological conditions, making it challenging to accurately predict drug efficacy and safety. With the advancement of microfluidic technology, in vitro cell culture, and biosensor technology, liver-on-a-chip (LOC) has garnered increasing attention in the field of new drug development in recent years, and is expected to become a powerful tool for addressing the challenges in druggability evaluation. While introducing the construction technology of LOC, this article mainly summarizes the research and application of existing LOC from the perspectives of disease model construction, drug metabolism research, and drug safety evaluation. Furthermore, it analyzes the role of LOC in druggability evaluation and discusses the current challenges and prospects in this field.

Objective To independently design a protective restraint band used for the interventional catheter bed and to evaluate its application effect.Methods The self-designed restraint belt consisted of a restraint belt body,first movable band and second movable band.A total of 200 patients,who received interventional operation at the Affiliated Run Run Shaw Hospital,School of Medicine of Zhejiang University of China from October 2022 to March 2023,were collected for this study.The patients were divided into the study group(n=100,using the self-designed restraint belt)and the control group(n=100,not using the self-designed restraint belt).The duration of surgical interruption due to patient's factors and the incidence of restraint belt-related adverse events were compared between the two groups.Results The duration of surgical interruption of the study group was(0.26±0.12)min,which was significantly shorter than(1.46±0.50)min in the control group,the difference was statistically significant(t=-23.570,P＜0.01).The incidence of restraint belt-related adverse events in the study group and the control group was 0％and 7％respectively,the difference was statistically significant(x2=6.380,P=0.012).Conclusion The protective restraint band used for the interventional catheter bed can reduce the incidence of restraint belt-related adverse events and improve surgical efficiency.

Objective:To explore the psychological experience of ICU nurses caring for young patients with suicide attempts in a general hospital, and to lay a foundation for the study of psychological adjustment and intervention for ICU nurses.Methods:Twelve ICU nurses who had experience of caring for suicide attempted- young patients from Sir Run Run Shaw Hospital Affiliated to Medical College of Zhejiang University were selected by using descriptive qualitative research method and the maximum difference method of the purposive sampling during October to December in 2023, and semi-structured in-depth personal interviews were conducted. Traditional content analysis method was used to sort out and analyze the data and extract the themes.Results:A total of 12 nurses completed the interview, 5 males, 7 females, aged 23-38(29.33 ± 4.14) years, three themes and seven sub-themes were extracted: psychological characteristics of care (avoidance of active communication, fear of care, empathy); the support required for nursing care (support from colleagues; support from nursing managers); self-growth after caregiving (self-growth in terms of life and death, and self-growth in terms of children′s education).Conclusions:ICU nurses have a certain degree of psychological pressure when taking care of young patients with suicide attempts, which will produce empathy for patients and affect their self-values. At the same time, they need support from colleagues and nursing managers. Therefore, general hospitals should pay attention to the psychological state of ICU nurses, carry out the targeted communication training and mental health support for ICU nurses, and help them gain positive nursing career growth and values.

Objective:To explore the psychological experience of ICU nurses caring for young patients with suicide attempts in a general hospital, and to lay a foundation for the study of psychological adjustment and intervention for ICU nurses.Methods:Twelve ICU nurses who had experience of caring for suicide attempted- young patients from Sir Run Run Shaw Hospital Affiliated to Medical College of Zhejiang University were selected by using descriptive qualitative research method and the maximum difference method of the purposive sampling during October to December in 2023, and semi-structured in-depth personal interviews were conducted. Traditional content analysis method was used to sort out and analyze the data and extract the themes.Results:A total of 12 nurses completed the interview, 5 males, 7 females, aged 23-38(29.33 ± 4.14) years, three themes and seven sub-themes were extracted: psychological characteristics of care (avoidance of active communication, fear of care, empathy); the support required for nursing care (support from colleagues; support from nursing managers); self-growth after caregiving (self-growth in terms of life and death, and self-growth in terms of children′s education).Conclusions:ICU nurses have a certain degree of psychological pressure when taking care of young patients with suicide attempts, which will produce empathy for patients and affect their self-values. At the same time, they need support from colleagues and nursing managers. Therefore, general hospitals should pay attention to the psychological state of ICU nurses, carry out the targeted communication training and mental health support for ICU nurses, and help them gain positive nursing career growth and values.

Reconstruction of low-dose CT image faced problems such as low resolution,blurred artifacts and strong noise.Deep learning reconstruction met the needs of reducing radiation dose and improving imaging quality,promoted reconstruction of CT image towards high efficiency,intelligence and integration of clinical diagnosis and treatment.The research progresses in deep learning low-dose CT imaging reconstruction were reviewed in this article.

Objective:To translate the Nurse Delirium Care Competency Scale (NDCCS) into Chinese and test the validity and reliability of Chinese version of NDCCS among ICU nurses.Methods:According to Brislin translation model, the Chinese version of NDCCS was developed by forward translation, back translation, cross-cultural adaptation and pre-survey. From October to December of 2023, 338 ICU nurses from Sir Run Run Shaw Hospital, Zhejiang University School of Medicine were selected by cross-sectional survey to test the reliability and validity of Chinese version of NDCCS.Results:A total of 329 valid questionnaires were collected. There were 50 males and 279 females, aged 20-53 years old. The Chinese version of NDCCS included 6 dimensions and 27 items. The scale-level content validity value was 0.985, and the item-level content validity value was 0.800-1.000. Exploratory factor analysis showed a six-factor structure, the cumulative variance contribution rate was 75.700%, the Cronbach′s α coefficients of the scale amount table were 0.952, and the Cronbach′s α coefficients of the dimensions were 0.811- 0.936,and the retest reliability was 0.932.Conclusions:The Chinese version of the NDCCS has good reliability and validity, and it is suitable for assessing the delirium care competence of ICU nurses in China.

Nursing information security is an essential component of providing high-quality nursing services and is an important guarantee for the construction of large-scale health care data application systems. This article reviewed the concept, assessment tools, and influencing factors of nursing information security, aiming to provide references for hospital nursing managers to effectively assess information security and improve nurses′ information literacy.

Objective:To optimize the accuracy of the intelligent hand hygiene system to monitor the hand hygiene timing warning, and provide a reference basis for healthcare workers to apply the intelligent hand hygiene system.Methods:Using a single-sample diagnostic pilot study method, 62 clinical nurses wearing smart badges working in the intensive care unit of Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine in Hangzhou, from December 1, 2020 to December 31, 2021 were selected by convenience sampling methods. Direct observation was used as the gold standard. The accuracy of the warning timing of the intelligent hand hygiene monitoring system was optimized through adjusting the bed sensing rang,adjusting the time setting, adjusting the time settings according to the physical space of the ward and adding posture recognition.Results:The sensitivity of adjusting the bed sensing range was 0.935 (95% CI 0.918-0.949); the specificity was 0.008 (95% CI 0.001-0.074). The sensitivity of the temporal setting based on the physical space of the ward was 0.932(95% CI 0.915-0.946); the specificity was 0.205 (95% CI 0.087-0.410). The false positive rate with gesture recognition turned on was 86.1% higher than the false positive rate without gesture recognition which was 79.5%. The diagnostic OR based on the temporal setting of the physical space of the ward was the largest at 3.517(95% CI 1.213-10.193). Conclusions:The intelligent hand hygiene system exhibits high accuracy in monitoring hand hygiene timing. Adjusting the bed sensing range and individualizing the timing settings according to the physical space of the ward can improve the accuracy. Further optimization is needed for posture recognition to improve the accuracy.