As the use of nursing information systems (NIS) in clinical nursing practice has proliferated, NIS education has received increased attention. This paper introduces the background and research form of NIS in nursing education at home and abroad, and summarizes the deficiencies in the application and puts forward suggestions, in order to provide references for the subsequent development of a high-quality system and the development of courses that fit the actual situation of nursing students in China.

Objective To construct a swallowing dynamic model for simulating dysphagia caused by reduced tongue movement am-plitude.Methods A swallowing dynamic model was established based on medical imaging data from CT and videofluoroscopic swallowing study(VFSS).The finite element method was used to simulate soft tissues,while the smoothed parti-cle hydrodynamics method(SPH)was used to simulate bolus.The model's posture at each time point was com-pared with the imaging data of VFSS from twelve patients with dysphagia,and a normalization method was used for quantitative evaluation of the model's validity.By adjusting the tongue movement amplitude under different viscosity conditions,the role of tongue movement in the swallowing process was investigated,and the swallow-ing safety and efficiency were assessed.Results The tongue posture and bolus trajectory presented by the swallowing dynamic model were consistent with the VFSS imaging.The brightness in the epiglottis area in VFSS images correlated with the equivalent brightness of SPH particles in the simulation results(r=0.97).As the tongue movement amplitude reducing by 20%,the num-ber of aspirated particles,swallowing efficiency and the average velocity of bolus particles in the oropharyngeal cavity all performed well.Pudding-like fluids exhibited favorable swallowing characteristics even when tongue movement amplitude reducing significantly.Conclusion The swallowing dynamic model can simulate the human swallowing process,providing good support for re-habilitation training of patients with dysphagia and the development of specialized medical foods,demonstrating significant potential for clinical applications.

Objective To construct a swallowing dynamic model for simulating dysphagia caused by reduced tongue movement am-plitude.Methods A swallowing dynamic model was established based on medical imaging data from CT and videofluoroscopic swallowing study(VFSS).The finite element method was used to simulate soft tissues,while the smoothed parti-cle hydrodynamics method(SPH)was used to simulate bolus.The model's posture at each time point was com-pared with the imaging data of VFSS from twelve patients with dysphagia,and a normalization method was used for quantitative evaluation of the model's validity.By adjusting the tongue movement amplitude under different viscosity conditions,the role of tongue movement in the swallowing process was investigated,and the swallow-ing safety and efficiency were assessed.Results The tongue posture and bolus trajectory presented by the swallowing dynamic model were consistent with the VFSS imaging.The brightness in the epiglottis area in VFSS images correlated with the equivalent brightness of SPH particles in the simulation results(r=0.97).As the tongue movement amplitude reducing by 20%,the num-ber of aspirated particles,swallowing efficiency and the average velocity of bolus particles in the oropharyngeal cavity all performed well.Pudding-like fluids exhibited favorable swallowing characteristics even when tongue movement amplitude reducing significantly.Conclusion The swallowing dynamic model can simulate the human swallowing process,providing good support for re-habilitation training of patients with dysphagia and the development of specialized medical foods,demonstrating significant potential for clinical applications.

Hepatocellular carcinoma (HCC) is characterized by its malignancy and rapid development. It is usually diagnosed in the middle and late stages in clinical practice. Conversion therapy offers surgical opportunities for previously unresectable HCC patients through multidisciplinary comprehensive treatment and improves the long-term survival rate of patients. This article reviews the current research progress of conversion therapy for HCC, and provides ideas for clinical practice and further research of conversion therapy strategies for HCC.

Innate lymphoid cells are an important part of innate mucosal immunity and participate in immune response by secreting effector cytokines and regulating the functions of other immune cells.They are similar to T helper cells in transcription factors and secretory cytokines,but they also have some unique functions.Different innate lymphocyte subsets play different roles in chronic obstructive pulmonary disease(COPD)according to their respective characteristics.Compared with adaptive lymphocyte,innate lymphocyte is relatively less in lymphoid tissue,accounting for only a small part of lung immune cells,but these lymphocyte cells play a crucial role in the development and progression of COPD.In this paper,the role of innate lymphoid cells in COPD and the related research progress were reviewed.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Cancer stem cells (CSCs) are widely acknowledged as primary mediators to the initiation and progression of tumors. The association between microbial infection and cancer stemness has garnered considerable scholarly interest in recent years. Porphyromonas gingivalis (P. gingivalis) is increasingly considered to be closely related to the development of oral squamous cell carcinoma (OSCC). Nevertheless, the role of P. gingivalis in the stemness of OSCC cells remains uncertain. Herein, we showed that P. gingivalis was positively correlated with CSC markers expression in human OSCC specimens, promoted the stemness and tumorigenicity of OSCC cells, and enhanced tumor formation in nude mice. Mechanistically, P. gingivalis increased lipid synthesis in OSCC cells by upregulating the expression of stearoyl-CoA desaturase 1 (SCD1) expression, a key enzyme involved in lipid metabolism, which ultimately resulted in enhanced acquisition of stemness. Moreover, SCD1 suppression attenuated P. gingivalis-induced stemness of OSCC cells, including CSCs markers expression, sphere formation ability, chemoresistance, and tumor growth, in OSCC cells both in vitro and in vivo. Additionally, upregulation of SCD1 in P. gingivalis-infected OSCC cells was associated with the expression of KLF5, and that was modulated by P. gingivalis-activated NOD1 signaling. Taken together, these findings highlight the importance of SCD1-dependent lipid synthesis in P. gingivalis-induced stemness acquisition in OSCC cells, suggest that the NOD1/KLF5 axis may play a key role in regulating SCD1 expression and provide a molecular basis for targeting SCD1 as a new option for attenuating OSCC cells stemness.
Porphyromonas gingivalis/pathogenicity* ; Stearoyl-CoA Desaturase/metabolism* ; Humans ; Carcinoma, Squamous Cell/pathology* ; Mouth Neoplasms/metabolism* ; Animals ; Neoplastic Stem Cells/microbiology* ; Mice, Nude ; Mice ; Nod1 Signaling Adaptor Protein/metabolism* ; Kruppel-Like Transcription Factors/metabolism* ; Cell Line, Tumor

Objective To investigate the correlation of plasma homocysteine(Hcy)level and the polymorphisms of its key metabolic enzymes methylenetetrahy-drofolate reductase(MTHFR)gene with ischemic stroke(IS).Methods A total of 310 patients with IS were enrolled as the case group and 330 healthy subjects during the same period were selected as the control group.Plasma Hcy concentration was detected by enzyme cycling method,and the real-time fluorescent quantitative PCR(RT-qPCR)was used to detecte the genotypes of MTHFR C677T.Results The frequencies of TT genotype(36.13%),CT genotype(10.00%)and T allele(28.06%)of MTHFR gene C677T locus in stroke patients were significantly higher than that in control group(P＜0.05).The frequency of the TT genotype was significantly higher in IS group compared to control group,indicating a recessive mode of inheritance(P＜0.05);In the dominant mode of inheritance,the frequency of CT+TT genotype in IS group was also significantly higher than that in control group(P＜0.05);The plasma Hay concentration of MTHFR C677T genotype TT,CT and CC patients was statistically different(P＜0.05),which were(20.91±6.78)μmol/L(17.20±5.39)μmol/L,(14.35±4.32)μmol/L,respectively;The area under the ROC curve(AUC)of plas-ma total Hcy level was 0.610(95%CI:0.566～0.653,P＜0.001).It indicated that it might play an impor-tant role in predicting the risk of suffering from IS.Multivariate Logistic regression analysis showed that plasma Hcy level and MTHFR C677T gene polymorphism were important risk factors of IS.Conclusions Elevated plasma Hcy level is associated with IS,and the synergistic effect of elevated Hcy level and MTHFR C677T gene mutation may increase the risk of IS.

Objective To investigate the relationship between methylenetetra-hydrofolatereductase(MTHFR)gene polymorphism and serum homocysteine(Hcy)level and subtypes of ischemic stroke(IS).Methods The study was conducted according to the matched principle of case-control design,310 patients with IS and 330 healthy people during the same period were selected as the case group and the control group.Recycling enzyme method and the real-time fluorescent quantitative PCR(RT-qPCR)method were used to detect the level of serum Hcy and the genotypes of MTHFR C677T,respectively.Results There was a significantly difference in MTHFR C677T genotype and allele frequency between the case and control groups(P＜0.05).The correlation analysis with different subtypes indicated that the frequencies of CT genotype(38.02%),TT genotype(10.74%),and T allele(29.75%)were significantly different in the LAA group(OR=1.662,95%CI:1.058-2.608,P＜0.05;OR=2.373,95%CI:1.110-5.073,P＜0.05;OR=1.663,95%CI:1.190-2.323,P＜0.05);The frequencies of TT genotype(10.53%)and T allele(27.30%)in SAO group were also significantly different(OR=2.130,95%CI:1.046-4.336,P＜0.05;OR=1.474,95%CI:1.075-2.021,P＜0.05).Further analysis of serum Hcy level showed that LAA group(19.55±5.61)μmol/L and SAO group(16.37±5.20)μmol/L were significantly higher than the control group(14.46±4.61)μmol/L(P＜0.001);Among the patients of both subtypes the serum Hcy levels in those with CT genotypes and TT genotypes were significantly higher than those in patients of CC genotypes(P＜0.001).Conclusions The gene polymorphism of MTHFR C677T has a significant effect on Hcy level in pa-tients with LAA and SAO stroke.