BACKGROUND:A pathophysiological feature of septic organ failure is endothelial dysfunction in sepsis(EDS).The physiological and pathological mechanism of sepsis is considered to be vascular leakage caused by endothelial dysfunction.These pathological changes lead to systemic organ injury.However,an analysis using bibliometric methods has not yet been conducted in the field of EDS.This study was conducted to provide an overview of knowledge structure and research trends in the field of EDS. METHODS:Based on previous research,a literature search was performed in the Web of Science Core Collection(WoSCC)for publications associated with EDS published between the year 2003 and 2023.Various types of data from the publications,such as citation frequency,authorship,keywords and highly cited articles,were extracted.The"Create Citation Report"feature in the WoSCC was employed to calculate the Hirsch index(h-index)and average citations per item(ACI)of authors,institutions,and countries.To conduct bibliometric and visualization analyses,three bibliometric tools were used,including R-bibliometrix,CiteSpace(co-citation analysis of references),and VOSviewer(co-authorship analysis of institutions,co-authorship analysis of authors,co-occurrence analysis of keywords). RESULTS:After excluding invalid records,the study finaly included 4,536 publications with 135,386 citations.Most of these publications originated in the USA,China,Germany,Canada,and Japan.Harvard University emerged as the most prolific institution,while professor Jong-Sup Bae and his research team at Kyungpook National University emerged as authors with the greatest influence.The"protein C","tissue factor","thrombin","glycocalyx","acute kidney injury","syndecan-1"and"biomarker"were identified as prominent areas of research.Future research may focus on molecular mechanisms(such as as vascular endothelial[VE]-cadherin regulation)and therapeutic interventions to enhance endothelial repair and function. CONCLUSION:Our findings show a growing interest in EDS research.Key areas for future research include signaling pathways,molecular mechanisms,endothelial repair,and interactions between endothelial cells and other cell types in sepsis.

Epigenomic imbalance drives abnormal transcriptional processes,promoting the onset and progression of cancer.Although defective gene regulation generally affects carcinogenesis and tumor suppression networks,tumor immunogenicity and immune cells involved in antitumor responses may also be affected by epigenomic changes,which may have significant implications for the development and application of epigenetic therapy,cancer immunotherapy,and their combinations.Herein,we focus on the impact of epigenetic regulation on tumor immune cell function and the role of key abnormal epigenetic processes,DNA methylation,histone post-translational modification,and chromatin structure in tumor immunogenicity,and introduce these epigenetic research methods.We emphasize the value of small-molecule inhibitors of epigenetic modulators in enhancing antitumor immune responses and discuss the challenges of developing treatment plans that combine epigenetic therapy and immuno-therapy through the complex interaction between cancer epigenetics and cancer immunology.

OBJECTIVE: To explore clinical rules based on the big data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University, and to establish an integrated platform for clinical research in emergency, which was finally applied to clinical practice. METHODS: Based on the hospital information system (HIS), laboratory information system (LIS), emergency specialty system, picture archiving and communication systems (PACS) and electronic medical record system of the Second Affiliated Hospital of Guangzhou Medical University, the structural and unstructured information of patients in the emergency department from March 2019 to April 2022 was extracted. By means of extraction and fusion, normalization and desensitization quality control, the database was established. In addition, data were extracted from the database for adult patients with pre screening triage level III and below who underwent emergency visits from March 2019 to April 2022, such as demographic characteristics, vital signs during pre screening triage, diagnosis and treatment characteristics, diagnosis and grading, time indicators, and outcome indicators, independent risk factors for poor prognosis in patients were analyzed. RESULTS: (1) The data of 338 681 patients in the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from March 2019 to April 2022 were extracted, including 15 modules, such as demographic information, triage information, visit information, green pass and rescue information, diagnosis information, medical record information, laboratory examination overview, laboratory information, examination information, microbiological information, medication information, treatment information, hospitalization information, chest pain management and stroke management. The database ensured data visualization and operability. (2) Total 140 868 patients with pre-examination and triage level III and below were recruited from the emergency department database. The gender, age, type of admission to the hospital, pulse, blood pressure, Glasgow coma scale (GCS) and other indicators of the patients were included. Taking emergency admission to operating room, emergency admission to intervention room, emergency admission to intensive care unit (ICU) or emergency death as poor prognosis, the poor prognosis prediction model for patients with pre-examination and triage level III and below was constructed. The receiver operator characteristic curve and forest map results showed that the model had good predictive efficiency and could be used in clinical practice to reduce the risk of insufficient emergency pre-examination and triage. CONCLUSIONS The establishment of high-quality clinical database based on big data in emergency department is conducive to mining the clinical value of big data, assisting clinical decision-making, and improving the quality of clinical diagnosis and treatment.
Adult ; Humans ; Big Data ; Emergency Service, Hospital ; Triage/methods* ; Intensive Care Units ; Hospitalization ; Retrospective Studies

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

Objective:To study the value of autoregressive integrated moving average (ARIMA) and autoregressive (AR) models in predicting the daily number of ambulances in prehospital emergency medical services demand in Guangzhou.Methods:Matlab simulation software was used to analyze the emergency dispatching departure records in Guangzhou from January 1, 2021 to December 31, 2021. A time series for the number of ambulances per day was calculated. After identifying the time series prediction model, ARIMA(1,1,1), AR(4) and AR(7) models were obtained. These models were used to predict the number of ambulances per day. ARIMA(1,1,1) model divided the time series into the training set and test set. Prony method was used for parameter calculation, and the demands of number of ambulances of the next few months were forecasted. AR(4) and AR(7) models used uniformity coefficient to forecast the demands of number of ambulances on that very day.Results:ARIMA(1,1,1), AR(4) and AR(7) can effectively predict the number of ambulances per day. The prediction fitting error of ARIMA (1,1,1) decreased with the extension of prediction time. The mean absolute percentage error (MAPE) of forecast results of daily vehicle output of emergency dispatching within two months was less than 6% and the predicted results were almost within the 95% confidence interval. The residual analysis of the model verified that the model was significantly effective.Conclusions:ARIMA model can make a long-term within two months and effective prediction fitting of the daily vehicle output of emergency dispatching, and AR model can make a short-term and effective prediction of the daily vehicle output of emergency dispatching.

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 analyze the using of pre-hospital emergency resources and treatment characteristics of acute alcoholism patients in Guangzhou. Methods: The pre-hospital emergency data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from January 1st in 2009 to December 31st in 2018 were obtained from the database of the Guangzhou Emergency Medical Command Center. The related data of patients with acute alcoholism were collected, including gender, age, poisoning severity, treatment results, caller type, number of empty vehicles (empty vehicle was defined as the empty vehicle return caused by the ambulance who did not receive or refused to come to the hospital after the ambulance leaved), departure time (from the ambulance to the completion time), on-site time (from the ambulance to the patient boarding time) and the distribution of pre-hospital emergency time in 24 hours on weekdays and weekends. The relationship between acute alcoholism patients and the peak of in-hospital emergency treatment was analyzed. Results: A total of 2 408 acute alcoholism patients were recorded, among whom 2 109 patients (87.58%) with acute alcoholism, 126 (5.23%) with drug poisoning, 67 (2.78%) with chemical poisoning, 3 (0.13%) with pesticide poisoning, and 103 (4.28%) with other poisoning. Acute alcoholism patients were mainly male, with a total of 1 862 cases (88.29%), and the ratio between males and females was 7.54∶1. In 2 109 patients with acute alcoholism, 93.41% were in the age range of 18-59 years old. The number of mild patients was 1 717 (81.41%), 1 178 (55.86%) needed further treatment, and no patient died. For the occupation of pre-hospital emergency resources, 43.24% (912/2 109) of acute alcoholism called 120 through 110 with empty vehicles of 36.79% (776/2 109), which were significantly higher than the acute cerebrovascular disease [3.83% (362/9 461), 5.80% (549/9 461), both P < 0.01], acute trauma [24.29% (1 708/7 033), 7.96% (560/7 033), both P < 0.01], acute circulation system disease [2.44% (90/3 694), 2.87% (106/3 694), both P < 0.01], and acute respiratory system disease [0.86% (31/3 606), 1.58% (57/3 606), both P < 0.01]. Furthermore, empty vehicles were more likely to happen through 110 with empty vehicles rate of 51.75% (472/912), which was significantly higher than that through the witness [40.82% (60/147), P < 0.01] and relatives and friends [23.24% (244/1 050), P < 0.01]. The driving time and on-site time of acute alcoholism were significantly shorter than those of acute cerebrovascular disease, acute circulation system disease, and acute respiratory system disease [driving time (minutes): 26 (20, 34) vs. 34 (26, 45), 38 (29, 49), 38 (29, 50); on-site time (minutes): 6 (4, 10) vs. 10 (7, 14), 10 (7, 15), 10 (8, 15), all P < 0.01], but there was no statistical difference as compared with acute trauma [driving time (minutes): 26 (20, 34) vs. 29 (20, 42), on-site time (minutes): 6 (4, 10) vs. 7 (4, 11), both P > 0.05]. The regularity of variation in number of critically acute alcoholism patients was distinctive, which peaked in the period of 21:00-00:00 and bottomed out in the period of 09:00-13:00, which overlapped with the peak flow in the hospital emergency department (17:00-22:00). Conclusions Acute alcoholism patients occupy excessive pre-hospital emergency resources, and overlap with the hospital emergency treatment peak. It is necessary to strengthen the public propaganda and education on the rational usage of 120 emergency resources and reduce waste.

OBJECTIVE: To analyze the using of pre-hospital emergency resources and treatment characteristics of acute alcoholism patients in Guangzhou. METHODS: The pre-hospital emergency data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from January 1st in 2009 to December 31st in 2018 were obtained from the database of the Guangzhou Emergency Medical Command Center. The related data of patients with acute alcoholism were collected, including gender, age, poisoning severity, treatment results, caller type, number of empty vehicles (empty vehicle was defined as the empty vehicle return caused by the ambulance who did not receive or refused to come to the hospital after the ambulance leaved), departure time (from the ambulance to the completion time), on-site time (from the ambulance to the patient boarding time) and the distribution of pre-hospital emergency time in 24 hours on weekdays and weekends. The relationship between acute alcoholism patients and the peak of in-hospital emergency treatment was analyzed. RESULTS: A total of 2 408 acute alcoholism patients were recorded, among whom 2 109 patients (87.58%) with acute alcoholism,126 (5.23%) with drug poisoning, 67 (2.78%) with chemical poisoning, 3 (0.13%) with pesticide poisoning, and 103 (4.28%) with other poisoning. Acute alcoholism patients were mainly male, with a total of 1 862 cases (88.29%), and the ratio between males and females was 7.54:1. In 2 109 patients with acute alcoholism, 93.41% were in the age range of 18-59 years old. The number of mild patients was 1 717 (81.41%), 1 178 (55.86%) needed further treatment, and no patient died. For the occupation of pre-hospital emergency resources, 43.24% (912/2 109) of acute alcoholism called 120 through 110 with empty vehicles of 36.79% (776/2 109), which were significantly higher than the acute cerebrovascular disease [3.83% (362/9 461), 5.80% (549/9 461), both P < 0.01], acute trauma [24.29% (1 708/7 033), 7.96% (560/7 033), both P < 0.01], acute circulation system disease [2.44% (90/3 694), 2.87% (106/3 694), both P < 0.01], and acute respiratory system disease [0.86% (31/3 606), 1.58% (57/3 606), both P < 0.01]. Furthermore, empty vehicles were more likely to happen through 110 with empty vehicles rate of 51.75% (472/912), which was significantly higher than that through the witness [40.82% (60/147), P < 0.01] and relatives and friends [23.24% (244/1 050), P < 0.01]. The driving time and on-site time of acute alcoholism were significantly shorter than those of acute cerebrovascular disease, acute circulation system disease, and acute respiratory system disease [driving time (minutes): 26 (20, 34) vs. 34 (26, 45), 38 (29, 49), 38 (29, 50); on-site time (minutes): 6 (4, 10) vs. 10 (7, 14), 10 (7, 15), 10 (8, 15), all P < 0.01], but there was no statistical difference as compared with acute trauma [driving time (minutes): 26 (20, 34) vs. 29 (20, 42), on-site time (minutes): 6 (4, 10) vs. 7 (4, 11), both P > 0.05]. The regularity of variation in number of critically acute alcoholism patients was distinctive, which peaked in the period of 21:00-00:00 and bottomed out in the period of 09:00-13:00, which overlapped with the peak flow in the hospital emergency department (17:00-22:00). CONCLUSIONS Acute alcoholism patients occupy excessive pre-hospital emergency resources, and overlap with the hospital emergency treatment peak. It is necessary to strengthen the public propaganda and education on the rational usage of 120 emergency resources and reduce waste.
Acute Disease ; Adolescent ; Adult ; Alcoholism/epidemiology* ; China/epidemiology* ; Emergency Service, Hospital ; Female ; Humans ; Male ; Middle Aged ; Surveys and Questionnaires ; Young Adult