Objective To explore the application effects of an innovative teaching model(blended 5MP)that organically combines blended teaching and the five-minute teaching method in clinical teaching for operating room nursing students.Methods Using convenience sampling,94 nursing students who interned in operating room of Kunming Children's Hospital from July 2023 to March 2024 were randomly assigned to observation and control groups,with 47 students in each group.For the control group,a traditional blended learning approach was utilized,whereas the observation group implemented a blended 5MP teaching model.Results The observation group's post-class assignment scores,theoretical exam scores,and practical skills assessment scores were all significantly higher than those in the control group,with a statistically significant difference(P<0.05).The observation group also had higher scores in the Self-Assessment of Clinical Reasoning and Reflection Scale,with a statistically significant difference(P<0.05).Furthermore,the observation group reported higher satisfaction rates regarding teaching methods,teaching formats,theoretical instruction,practical instruction,and overall satisfaction compared to the control group,with statistically significant differences(P<0.05).Conclusion The blended approach combines online and offline instructional modalities,allowing for a more strategic allocation of educational resources.This methodology enables students to thoroughly acquire essential knowledge and skills while simultaneously fostering advanced clinical reasoning and reflective competencies.By adopting this innovative educational model,institutions can significantly enhance the academic experience and professional development of nursing students.

Objective To investigate the differences in the gene expression profiles between SW480 and SW620 cell lines.Methods A dataset of GDS756 containing the gene expression profiles of SW480 and SW620 was downloaded from the GEO database in NCBI.The differential expression genes between SW480 and SW620 were analyzed with gene set enrichment analysis (GSEA) and leading edge subset analysis.The genes in leading edge subset were re-annotated by FunRich software.The core genes of leading edge subset closely relating to SW480 or SW620 were analyzed with the STRING on-line analytical system.The functional core genes closely relating to SW480 or SW620 were obtained by the combined analysis of the core genes and high frequency genes from leading edge subset.Results GSEA identified 12 significantly enriched gene sets,491 leading edge genes and 7 highly overlapping genes from SW480 and 80 significantly enriched gene sets,870 leading edge genes and 6 highly overlapping genes from SW620.The STRING system identified 5 core genes from SW480 and 8 from SW620.The combined analysis of GSEA and bionetwork obtained 2 functional core genes,TOP2A and CDK1,from SW620.Conclusion The SW480 and SW620 cells with identical genetic background have different functional gene expression profiles,and the functional core genes TOP2A and CDK1 in SW620 cells may be related to the signal pathways of colon cancer metastasis.

Objective To evaluate the significance of contrast medium (CM) volume and estimated glomerular filtration rate (CM/eGFR) in predicting contrast-induced nephropathy (CIN) after PCI. Methods A total of 307 patients after PCI were enrolled from Nanfang Hospital from May 2014 to October 2015. The patients were divided into the CIN group(n = 29) and the non-CIN group(n = 278) according to whether CIN within 72 hours after PCI. The baseline renal function was assessed by the sCr and CyC, respectively. Results Twenty-nine patients (9.4%, 29/307) developed CIN. There were significant differences in Age, CM、NTpro-BNP、IABP、 Periprocedural Hypotension、Preprocedural sCr/CyC between two groups (P < 0.05, respectively). The result of multivariate logistic regression analysis showed that Age, Cardiac function ≥Ⅲ level, IABP, use CCB, CM/eGFRMDRD, CM/eGFRCyC were independent risk predictors for CIN, respectively. Receiver Operating Characteristic (ROC) curve analysis showed that the area under the curve of CM/eGFRMDRD(AUC = 0.838) was superior to CM/eGFRCyC (AUC = 0.805) without significant difference. The sensitivity and specificity were 79.3%and 76.3%(Cut-off Point = 2.094), respectively. Conclusion Both the CM/eGFRMDRD and CM/eGFRCyC may be good methods to determine maximum CM before PCI and to predict CIN after PCI currently, without significant differences between these two predictors.