ObjectiveTo investigate the degree of acceptance of Emergency Medicine and the abilities of first aid in senior medical students, and study the methods of how to improve their abilities and skills.MethodsA random sample survey methodology.ResultsA total of 146 medical students of clinical medicine were surveyed.99.32％ of student believed that emergency medicine was essential and necessary in their learning process.The knowledge of first aid would play important role for their future work.55.48％ of students considered that there were partial overlaps in teaching content in emergency medicine and internal medical and surgery.Senior medical students accessed to knowledge mainly through books,followed by the Internet,television and newspapers and their first aid knowledge and skills were poor.ConclusionEmergency medical teaching should be focused on highlighting its characteristics.The visualization of the operation and standardized assessment will help to strengthen students' mastery of first-aid knowledge and skills.

Objective To investigate the regulatory networks of DNA methylation profiles in STEMI by methylation microarrays.Methods A total often male patients with STEMI and ten male healthy controls were recruited.Methyl-DNA immunoprecipitation and Nimblegen HG18 Meth 385K promoter plus CpG island microarrays were used to identify differentially methylated regions.And several bioinformatics analysis tools which included chromosomal assignment, gene ontology analysis and pathway analysis with SignalMap and The Database for Annotation, Visualization and Integrated Discovery were used to high-throughput analysis.Results Compared with healthy controls, DMRs of STEMI is 1 634, There are 1 480 (90.57％), 131 (8.02％) and23 (1.41％) methylated sites were separately located on High CpG-containing promoter, Intermediate CpG-containing promoter and Low CpG-containing promoter;Gene Ontology and Pathway analysis expressed DNA methylated genes of signaling pathway in MI identified glycerophespholipid metabolism, cysteine and methionine metabolism, Dilated cardiomyopathy, Arrhythmogenic right ventricular cardiomyopathy, regulation of actin cyteskeleton, calcium signaling pathway.However, the signal pathway about lipid metabolism is shown no significant difference.Conclusions Bioinformatics tools could provide the quick and high-throughput analysis of data from methylation microarray and enable the function classification of differentially expressed genes of STEMI.

Objectives To investigate clinical features and the risk factors for 30-day death in elderly chest pain patients.Methods In the prospective study,514 patients with acute chest pain leading to emergency department visit were selected from March 2012-August 2010 and grouped into elderly group (aged≥65 years,n=309) and non-elderly group (aged< 65 years,n=205).The patient's clinical data during 30-day follow-up period were recorded for analysis and comparison.Multivariate regression analysis was used to investigate the risk factors of death.Results Among 514 cases with acute chest pain,30(5.8%)patients with all-cause death included 24 cases in group of 309 (7.8%) elderly patients and 6 (2.9%) cases in group of 205 non-elderly patients during 30 day follow-up period.Univariate regression analysis showed that female,low SBP,Killips' classification ≥ Ⅱ,high level of serum troponin T and creatinine,coronary artery ischemia were more likely to died during 30 day follow-up period.And female and Killips' classification ≥ Ⅱwere the independent factor for 30-day death in the elderly[OR:3.55 (95%CI:1.00-12.59) and 5.90 (95%CI:1.31-26.63)]respectively.Conclusions Elderly patients with acute chest pain for first emergency department visit are at high risk for 30-day death.Female and cardiac function Killips' classification ≥ Ⅱ,high levels of serum troponin T and creatinine and coronary artery ischemia are associated with 30-day death in patients with acute chest pain for first emergency visit.Female and Killips' classification ≥ Ⅱare the independent risk factor for 30-day death.

Objective:To investigate the effect of lipopolysaccharide (LPS) on primary neonatal rat cardiomyocytes (CMs) and human induced pluripotent stem cell-derived cardiomyocytes (hiPS-CMs).Methods:The hiPS-CMs and primary neonatal rat CMs were treated with different concentrations of LPS for 24 to 48 h. Then the cellular viability was analyzed by the xCELLigence RTCA Cardio system. The measurement of NPPB gene was studied by qRT-PCR and the gene expression analysis was performed by the qPCR array, in order to evaluate the cardiac inflammation effect induced by LPS.Results:The LPS exposure led to dysfunction in the primary neonatal rat CMs, which shown as an increase in beating rate and a decrease in contraction amplitude ( P<0.01), accompanied by an increased NPPB mRNA level ( P<0.01). There was no significant alteration in beating rate and the contraction amplitude in the corresponding concentration of the primary neonatal rat CMs ( P>0.05), as well as the NPPB mRNA level ( P>0.05). However, the expression of NPPB mRNA in hiPS-CMs was significantly different at a higher concentration of LPS (5 μg/mL~40 μg/mL) ( P<0.01), but the beating rate and the contraction amplitude showed no significant change, even the concentration of LPS up to 40 μg/mL ( P>0.05). Finally, the genes of C3, Gpnmb, Atf3, Il6r and Ly96 upregulated to 1.5 folds in the primary neonatal rat CMs. In comparison with primary neonatal rat CMs, the AK4, TOLLIP, SPP1, FABP1, IL6R, LY96 and C3 were over expression to 1.5 folds in the hiPS-CMs. Conclusions:In comparison with primary neonatal rat CMs, hiPS-CMs are markedly less injured by LPS and show a different pattern of inflammation gene expression.

Objective:To analyze the sepsis related long non-coding RNA (lncRNA) and mRNA expression profiles based on Gene Expression Omnibus (GEO) datasets and bioinformatic analysis, and to analyze the sepsis-associated competing endogenous RNA (ceRNA) network based on microRNA (miRNA) database.Methods:The sepsis-related lncRNA dataset was downloaded from the GEO database, and the differential expression analysis was conducted by Bioconductor on the sepsis dataset to obtain differentially expressed lncRNA (DElncRNA) and differentially expressed mRNA (DEmRNA), and cluster heat map was drawn. miRNA combined with DElncRNA were predicted by miRcode. mRNA targeted by miRNA was simultaneously met by three databases: TargetScan, miRDB, and mirTarBase. The interaction relationship of lncRNA-miRNA-mRNA was obtained. The regulatory network visualization software CytoScape was used to draw ceRNA networks. DEmRNA in the ceRNA networks were imported into the Search Tool for the Retrieval of Interacting Genes Database (STRING) online database to draw the protein-protein interaction (PPI) map. The gene ontology (GO) function annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of DEmRNA were performed.Results:Dataset GSE89376 and GSE145227 were found from GEO database. Difference analysis showed there were 14 DElncRNA and 359 DEmRNA in the elderly group of GSE89376; 8 DElncRNA and 153 DEmRNA in the adult group of GSE89376; 1 232 DElncRNA and 1 224 DEmRNA in the children group of GSE145227. Clustering heatmap showed that there were significant differences in the expression of lncRNA and mRNA between the sepsis group and the control group. The ceRNA networks were constructed with miRNA. Several DElncRNA and multiple DEmRNA participated in the ceRNA network of sepsis. The PPI diagram demonstrated that several genes encoding proteins interacted with each other and form a multi-node interaction network with multiple genes encoding proteins. Functional annotation and enrichment analysis demonstrated that there might be a crosstalk mechanism on functionally related genes such as nuclear receptor activity, ligand-activated transcription factor activity, and steroid hormone receptor activity, and played a role in the occurrence and development of diseases through forkhead box transcription factor O (FoxO) signaling pathway, Janus kinase/signal transducers and activators of transcription (JAK/STAT) signaling pathway, p53 signaling pathway, and phosphateidylinositol 3-kinase (PI3K)/Akt signaling pathway.Conclusion:Through sepsis-related lncRNA-miRNA-mRNA ceRNA network and combining with KEGG pathway analysis, there were several lncRNA and mRNA participating in the ceRNA network related sepsis, which played an important role in several signal pathways.

Objective:To explore the role of bedside cardiopulmonary ultrasound in the evaluation of non-invasive positive pressure ventilation (NPPV) in patients with cardiaogenic pulmonary edema in emergency department.Methods:The clinical data and characteristics of bedside rapid cardiopulmonary ultrasound in patients withcardiaogenic pulmonary edema treated with NPPV in the emergency department were retrospectively analyzed. The following ultrasound parameters, including lung ultrasound score, the ratio of lung consolidation, diameter of inferior vena cava, left ventricular ejection fraction (LVEF), the mitral annular systolic displacement (MAPSE) and tricuspid annular systolic displacement (TAPSE), the peak Doppler velocities of the early diastolic mitral (E), the tissue velocity imaging of left ventricular and right ventricular (Sm), the tissue Doppler of the early diastolic velocity of the mitral annulus (e’), the average E/e’ ratio of left ventricular, systolic pulmonary artery pressure (SPAP) and the ratio of atrial fibrillation,, were determined. All of the parameters combined with clinical parameters were compared between the non-invasive ventilation success group and non-invasive ventilation failure group. Univariate and multivariate logistic regression analysis were used to screen out the risk factors by taking the failure of NPPV treatment as the dependent variable. The area under the receiver operating characteristic (ROC) curve was used to analyze the predictive value of the indicators above.Results:A total of 66 patients, included 44 (66.%) of NPPV success and 22 (33.3%) of NPPV failure revealed by bedside cardiopulmonary ultrasound. In comparison with the NPPV success group, the lung ultrasound score, ratio of lung consolidation, E/e’ of LV , SPAP, the ratio of right ventricular dysfunction, the ratio of atrial fibrillation and the level of Ccr were significantly evaluated, but the Sm of right ventricular and PaO2/FiO2 were significantly lower in the NPPV failure group (all P< 0.05). There were no differences in LVEF, MAPSE, TPASE, diameter of inferior vena cava and the Sm of left ventricular between groups (all P> 0.05). Multivariate logistic regression analysis showed that lung ultrasound score, E/e’ and SPAP were independent predictors of NPPV failure in patients with cardiaogenic pulmonary edema. The AUCs of lung ultrasound score, E/e’ of LV and SPAP for predicting NPPV failure was 0.802, 0.783 and 0.852, respectively. . Conclusions:The lung ultrasound score, right ventricular diastolic function and SPAP evaluated by bedside cardiopulmonary ultrasound could provide predictive values for the non-invasive positive ventilation failure in patients with cardiaogenic pulmonary edema.

Objective:To evaluate the predictive value of mechanical power (MP) on the risk of in-hospital mortality in critical ill patients in emergency department.Methods:A total of 105 critical ill patients with invasive mechanical ventilation in the Department of Emergency of Second Affiliated Hospital of Guangzhou Medical University between December 1, 2017 and October 31, 2020 were retrospectively analyzed. Based on the clinical prognosis, the patients were divided into the in-hospital survival group (80 patients) and the in-hospital death group (25 patients). The clinical data and ventilator parameters were recorded, and the MP of the two groups was calculated in order to assess the predictive efficacy of MP on in-hospital death.Results:Compared to the in-hospital death group, the oxygenation index PaO 2/FiO 2 was significantly higher (271 mmHg vs. 217 mmHg, P=0.020) and blood lactate (1.59 mmol/L vs. 2.56 mmol/L, P<0.001) and procalcitonin (0.31 ng/mL vs. 3.55 ng/mL, P=0.028), minute ventilation (7.03 L/min vs.8.32 mmol/L, P=0.013), MP (14.37 J/min vs. 16.12 J/min, P=0.041), SOFA score (5 vs. 8, P=0.001) and APACHE II score (16 vs. 22, P=0.041) were significantly lower in the in-hospital survival group. Multivariate Logistic regression analysis showed that PaO 2/FiO 2( OR=1.015, P=0.044), MP ( OR=1.813, P=0.039) and SOFA score( OR=2.651, P=0.010) were independent risk factors for predicting hospital mortality in patients with mechanical ventilation. The areas under the ROC curves (AUC) were 0.62, 0.63 and 0.75, respectively. Moreover, the MP combined with SOFA score for predicting in-hospital death was significantly higher than that of MP alone (0.77 vs. 0.63, P<0.05). Conclusions:MP is associated with in-hospital death in patients with invasive mechanical ventilation in emergency department. MP combined with SOFA score can enhance its predictive efficacy