Objective:To construct a classification management model on the basis of Kraljic matrix for electrocardiogram(ECG)monitoring equipment in emergency intensive care unit(ICU),so as to explore its application value in the management for ECG monitoring equipment in emergency ICU.Methods:The classification management model on the basis of index for ECG monitoring equipment in emergency ICU was constructed.According to two classification dimensions included the market supply risk and the self-value,an indicator system of classification management,which aimed at strategic materials with high value and high risk,leverage materials with high value and low risk,bottleneck materials with low value and high risk,and conventional materials with low value and low risk,was constructed.A total of fifty-one ECG monitoring equipment in the emergency ICU of The People's Hospital of Longhua of Shenzhen from January to December 2023 were selected,and they were managed respectively by conventional management mode(25 sets)and classification management mode(26 sets)according to different management modes.The standardization level of operation management for equipment,the occurrence of safety risk and the level of management for equipment of the two management modes were compared,and the satisfaction of 30 relative personnel,who used and managed these equipment,for classification management of equipment also were compared.Results:The average values of the percentage of standardization level of normality of equipment operation,disinfection and sterilization,maintenance and fault repair of using classification management mode were respectively(91.58±4.33)%,(92.1±3.28)%,(91.49±3.54)%and(92.58±3.32)%,all of which were higher than those of conventional management mode,and the differences were statistically significant(t=12.537,15.706,14.196,18.946,P<0.05),repsectively.The average incidences of the risk of pressure injury,electrical injury and body fluid extravasation of adopting classification management mode were respectively(2.54±0.87)%,(3.02±0.82)%and(1.29±0.65)%,all of which were lower than those of adopting conventional management mode,and the differences were statistically significant(t=22.825,17.453,24.424,P<0.05),respectively.The satisfaction scores of 30 relative management personnel,who used equipment on the process rationality,system standardization and quality effectiveness,of adopting classification management mode were respectively(94.26±3.54),(92.57±4.36)and(91.87±3.69),all of which were higher than those of conventional management mode,and the differences were statistically significant(t=14.052,13.991,13.551,P<0.05),respectively.The reasonable placement rate,recording rate of standardization,and intact rate of equipment in the 26 equipment by adopting classification management mode were respectively 92.31%,92.31%and 88.46%,all of which were significantly higher than those by adopting conventional management mode,and the differences were statistical significant(x2=12.052,10.398,11.338,P<0.05).Conclusion:The classification management model of ECG monitoring equipment in emergency ICU can increase the management efficiency for the equipment in operating room of hospital,and improve the operation quality of equipment,and enhance the safety of equipment in clinical use,and the standardization of operation management for equipment.

OBJECTIVE To establish a preparation system for megakaryocytes(MKs)derived from human embryonic stem cells(hESCs)and MK microparticles(MKMPs),and to assess the pro-angio-genic efficiency of these microparticles.METHODS ①hESCs were induced to mesodermal progenitor cells via monolayer culture with the first-stage induction medium for 2 days before the cells were induced to hemogenic endothelial/hematopoietic progenitor cells by culturing with the second-stage induction medium for another 3 days.Then,the cells were dissociated into single cells,seeded into the third-stage induction medium,and cultured using the suspension method for 8 days to obtain MKs.The specific characters of differentiated cells were identified through morphological observation and flow cytometry before stage-specific marker proteins in different periods were analyzed[hESCs:TRA-1-60,sialyl glycolipid stage-specific embryonic antigen4(SSEA4)];mesodermal progenitor cells:brachyury;hemogenic endothelial/hematopoietic progenitor cells:CD34,CD43;MKs:CD41a,CD42b),and immu-nofluorescence staining[β1-tubulin,von Willebrand factor(VWF)],[friend leukemia integration 1(FLI1),CD42].② MKMP collection and verification:MKMPs were collected via differential centrifugation.The concentration and size of these MKMPs were determined by nanoparticle tracking analysis(NTA),and both the morphology and ultrastructure were examined by transmission electron microscopy(TEM).Besides,the MKMPs-specific proteins[CD41,tumor susceptibility gene 101(TSG101)and CD9]were detected by Western blotting analysis.③ Biological function of MKMPs:MKMPs were stained with CD41a-PE antibodies and co-cultured with human umbilical veinvascular endothelial cells(HUVECs)labeled by CD34-APC for 3 h.Live-cell immunofluorescence was employed to find out whether HUVECs could absorb MKMPs.To find out whether MKMPs could affect the role of HUVECs in angio-genesis and cell migration,platelet microvesicles(PMPs)were used as positive controls.The experi-mental groups were added with different concentrations of microparticles(1,5,10 and 20 mg·L-1)while the control group was given no microparticles(0 mg·L-1).The number of nodes that formed the lumen after 5 h of incubation in Matrigel was counted,and the size of healing of the scratch area was analyzed after 6 h.To elucidate the mechanism through which MKMPs impacted angiogenesis,ELISA was used out to quantitatively detect the concentration of proteins in microparticles.RESULTS ① A three-stage differentiation cultural system was established to develop hESCs into MKs.Flow cytometry revealed progressive loss of pluripotency markers SSEA4 and TRA-1-60,while the mesodermal progenitor marker brachyury peaked at d 2.Subsequently,hemogenic endothelial/hematopoietic progenitor markers CD34 and CD43 emerged at d 5,followed by megakaryocytic markers CD41a and CD42b at d 13.Immunofluorescent images further demonstrated that MKs expressed specific proteins CD42,β1-tubulin,von VWF and FLI1 at d 13.②Microparticles were collected via differential centrifuga-tion.Transmission electron microscopy revealed that their substructure exhibited a typical double-layered membrane.Nanoparticle tracking analysis indicated that the size was(164.3±14.0)nm.The result of WB demonstrated that the microparticles expressed specific markers,including TSG101,CD9 and CD41.③ MKMPs were absorbed after being co-cultured with HUVECs for 3 h and enhanced the ability of HUVECs to form tubes and migrate.Notably,the treatment of 5 mg·L-1 MKMPs was more effective than 5 mg·L-1 PMPs treatment.The results of ELISA showed that the content of VEGF from MKMPs was higher than from PMPs,which may be the key factor in regulating endothelial biological function.CONCLUSION MKs derived from hESCs can generate functional microparticles which can promote angiogenesis.

Objective:To explore the mechanisms of oxaliplatin resistance mediated by TET2 methylation in the treatment of acute lymphoblastic leukemia (ALL) using bioinformatics methods.Methods:The data on drug-resistant and sensitive cell lines related to oxaliplatin treatment for ALL were download using the Genomics of Drug Sensitivity in Cancer (GDSC) database (updated in December 2023); the drug-resistant cell lines were screened based on half maximal inhibitory concentration ( IC50) > 10 μmol/L, and the difference in IC50 between drug-resistant and sensitive cell lines were analyzed using Mann-Whitney U test. The cancer driver mutation genes in drug-resistant cell lines were retrieved using the Cancer Cell Line Encyclopedia (CCLE) database (updated in December 2023). Using the protein-protein interaction (PPI) network functional enrichment analysis (STRING) database (updated in June 2024), PPI network analysis was performed on cancer driver mutation genes with biological functions. A confidence threshold of ≥ 0.7 (high confidence) and an average network node degree above 4 (high average) were selected to screen for cancer driver mutation genes with significant biological functions. Using the microRNA Data Integration Portal (mirDIP) database (updated in June 2024), the coexpression data of microRNA (miRNA) and mutant target genes were queried, miRNA-target gene pairs were screened according to the highest score threshold of 1% miRNA and interaction score > 0.9, and the regulatory effect of miRNA on mutant genes was analyzed. DNA methylation data were download from the Methylation in Human Cancer (MethHC) database (updated in June 2024) and the methylSig R software package was used to analyze the differentially methylated regions (DMR) of DNA methylation between drug-resistant and sensitive cell lines; genes with P < 0.05 and absolute difference > 0.2 were selected, and they were divided into high methylation gene group and low methylation gene group. Spearman correlation analysis and Spearman rank test were performed for the degree of methylation and gene expression, and the key genes with P < 0.01 were screened to reveal the relationship between methylation degree and gene expression. Results:As a result of searching the GDSC database, there were a total of 9 drug-resistant cell lines and 17 sensitive cell lines related to oxaliplatin treatment for ALL; after Z-score normalization of IC50 data between drug-resistant and sensitive cell lines, the average rank of drug-resistant cell lines was 21, and the average rank of sensitive cell lines was 8.5, with a statistically significant difference ( Z = -4.08, P < 0.01). Eight cancer driver mutation genes with significant biological functions that lead to drug resistance of the cell lines were screened using the CCLE database and STRING database. According to the mirDIP database, there were a total of 12 pairs of miRNA-target gene pairs with miRNA-target gene interaction scores >0.9. miRNA had strong regulatory effects on the expressions of NRAS and MAP2K1 target genes. In the MethHC database, the β values (numerical value of increased methylation level) of DMR for genes such as TP53, RXRG and SGIP in drug-resistant cell lines were 0.151, 0.165 and 0.149, respectively, compared to those in sensitive cell lines, the differences were statistically significant (all P < 0.01). The degree of methylation of SGIP gene was negatively correlated with the relative expression level of SGIP mRNA ( r = -0.71, P < 0.01), and SGIP gene underwent high methylation at promoter site 143886940. The cg08321569 locus in the TET2 gene domain of drug-resistant cell lines exhibited persistent high methylation, with a methylation level of β = 0.89. This locus was located 1.2 kb downstream of the transcription start point of exon 4, and the degree of TET2 methylation was negatively correlated with the relative expression level of TET2b mRNA ( r = -0.81, P < 0.01). Conclusions:TET2 methylation may be an important factor for oxaliplatin resistance in the treatment of ALL.

OBJECTIVE To investigate the clinical characteristics of drug-induced liver injury （DILI） induced by glucagon- like peptide-1 receptor agonists （GLP-1RAs）， and to provide a reference for safe clinical medication. METHODS Using search terms such as “GLP-1”“GLP-1RAs”“semaglutide” “drug-induced liver injury”， relevant studies from PubMed， Embase， the Cochrane Library， CNKI， Wanfang Data and VIP were retrieved. Descriptive analysis was performed on cases of DILI induced by GLP-1RAs. RESULTS A total of 11 studies， comprising 11 patients， were included. Among them， 4 were male （36.4%） and 7 were female （63.6%）. Patient ages ranged from 17 to 64 years； 5 patients （45.5%） were between 50 and 65 years old. Six patients were treated for diabetes， and five for weight loss. Ten patients had underlying diseases. The shortest time to the onset of DILI was 5 days after medication， while the longest was approximately 180 days. The DILIs induced by GLP-1RAs were mainly hepatocellular injury type （6 cases）； severity levels included severe （3 cases）， moderate （6 cases）， and mild （2 cases）. Gastrointestinal symptoms and jaundice were the most common clinical manifestations. The association between DILI and GLP- 1RAs was assessed as “probable” in 10 cases and “possible” in 1 case. All 11 patients improved after drug discontinuation and （or） corresponding treatment. CONCLUSIONS DILI induced by GLP-1RAs is relatively concentrated in patients aged 50-65， with a higher incidence in females. The risk may be further increased in patients with underlying diseases. Clinical use of these agents should enhance pharmaceutical care， including identification of high-risk populations and patient education （especially symptom recognition）. When relevant symptoms appear， the drug should be discontinued immediately， with liver-protective therapy initiated when necessary， to ensure patient safety of drug use.

Objective To develop an instrument for predicting postoperative constipation risks in patients with osteoporotic thoracolumbar fracture(OTLF)who have undergone percutaneous kyphoplasty(PKP).Methods A total of 858 OTLF patients who underwent PKP surgery between January 2020 and December 2024 were enrolled.The patients were randomly assigned to a training set(n=600)and a validation set(n=258)in a 7∶3 ratio.According to whether the patients had postoperative constipation,the training set was divided into a constipation group(n=205)and a non-constipation group(n=395),and the validation set was divided into a constipation group(n=90)and a non-constipation group(n=168).Logistic regression analysis was conducted to analyze the factors influencing postoperative constipation in OTLF patients after PKP,and a nomogram model was constructed accordingly.The receiver operating characteristic(ROC)curve and the calibration curve of the model were plotted,and the Hosmer-Lemeshow test for goodness of fit was performed.Results A total of 205 OTLF patients(34.17%)in the training set and 90 OTLF patients(34.88%)in the validation set experienced constipation after PKP.Univariate analysis revealed significant differences between the constipation and non-constipation groups in terms of operative time,postoperative water intake,time to first postoperative meal,postoperative bed rest time,the levels of Bifidobacterium,Lactobacillus,Enterococcus,and Enterobacter,the Nutrition Risk Screening 2002(NRS-2002)score,and the levels of sodium,potassium,and HbA1c(P<0.05).Least absolute shrinkage and selection operator(LASSO)regression was performed and operative time,time to first postoperative meal,the levels of Bifidobacterium,Lactobacillus,Enterococcus,and Enterobacter,the NRS-2002 score,and the levels of sodium,potassium,and HbA1c were identified as candidate predictors.Multivariate logistic analysis showed that the time to first postoperative meal,the levels of Bifidobacterium and Lactobacillus,the NRS-2002 score,and the levels of sodium and HbA1c were influencing factors of postoperative constipation in OTLF patients(P<0.05).The ROC curves showed that the area under the curve(AUC)of the training set was 0.842(95%CI:0.793-0.892),while that of the validation set was 0.860(95%CI:0.830-0.889).The calibration curves demonstrated good agreement between the prediction curve and the standard curve in both the training set and the validation set.Conclusion The time to the first postoperative meal,the NRS2002 score,and the levels of Bifidobacterium,Lactobacillus,sodium,and HbA1c are influencing factors of post-PKP constipation in OTLF patients.The nomogram model built based on these factors exhibited good predictive performance.

Objective To explore the effects and underlying molecular mechanisms of high fat diet(HFD)on in-testinal barrier damage and inflammatory reaction in mice with irritable bowel syndrome(IBS)induced by sodium dextran sulfate(DSS).Methods C57BL/6 mice were randomly divided into four groups(n=6):Normal group,DSS group(1.5％DSS solution for one week),HFD+DSS group,and HFD+DSS+WY14643 group(intraperitone-ally injected daily with PPARα agonist WY14643 6 mg/kg).The body weight and liver weight of mice were measured.Colon pathology was observed by HE staining.The protein expression of zonula occludens-1(ZO-1)and occludin was detected by immunohistochemistry.The mRNA expression of tumor necrosis factor-α(TNF-α),interleukin-β(IL-1β),and interleukin-17(IL-17)were determined by qRT-PCR.PPARα protein expression was determined by Western blot.Results The body weight and liver weight of mice in the HFD+DSS group were significantly higher than those in the DSS group(P＜0.001).HE staining showed normal colonic tissue structure in Normal group,while other three groups exhibited varying degrees of mucosal damage with a small amount of in-flammatory cell infiltration and epithelial cell shedding.Among these,the HFD+DSS group displayed the most se-vere intestinal mucosal damage and inflammatory infiltration.Compared with the DSS group,the HFD+DSS group showed decreased ZO-1 and Occludin protein expression(P＜0.001),elevated TNF-α,IL-1 β,and IL-17 mRNA levels(all P＜0.001),and downregulated PPARα protein expression(P＜0.01).Compared with the HFD+DSS group,mice in HFD+DSS+WY14643 group showed improvement in intestinal mucosal damage and reduced infiltration of inflammatory cells.The protein expression of ZO-1 and occludin in colon of mice in the HFD+DSS+WY14643 was increased(all P＜0.05),while the expression of TNF-α,IL-1 β,and IL-17 mRNA was downregulated(P＜0.01 or P＜0.05),and the protein expression of PPAR α was upregulated(P＜0.05).Conclusions HFD-induced obesity aggravates intestinal mucosal damage,intestinal barrier destruction and in-flammatory response in IBS mice,and its molecular mechanism is potentially related to downregulation of PPARαexpression in intestinal tissues.

Objective:To clarify the changes in incidence and mortality of various cancers based on analysis on registration data of malignant tumor incidence and mortality from Dehui City and Yanji City in Jilin Province.Methods:The incidence and mortality data of malignant tumors from 2009 to 2016 in Dehui City and Yanji City in Jilin Province,were collected from the Chinese Cancer Registry Annual Report published by the National Cancer Center.The number of cases,deaths,crude incidence rate,crude mortality rate,age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and annual percentage change(APC)of the malignant tumors were analyzed by cancer sites and genders.Results:From 2009 to 2016,the CIR of malignant tumors in Dehui City(APC=1.2%,P=0.019)and Yanji City(APC=3.6%,P=0.058)showed an increasing trend.After standard population age adjustment,the ASIR in males in Dehui City showed a significant decline(APC=-5.7%,P=0.021),while the ASIR in females exhibited an overall downward trend,but the difference was not significant(APC=-2.2%,P=0.111).In Yanji City,the ASIR in males(APC=-1.4%,P=0.535)and females(APC=0.0%,P=0.988)showed no significant changes.The CMR of malignant tumors in Dehui City(APC=1.9%,P=0.001)and Yanji City(APC=5.9%,P=0.001)showed a continuous upward trend.After age-standardization,the ASMR in males(APC=-3.1%,P=0.100)and females(APC=-4.2%,P=0.053)in Dehui City,as well as in males(APC=-1.3%,P=0.438)in Yanji City,showed a slight downward trend.Although the ASMR in females in Yanji City showed a slight increase,the difference was not statistically significant(APC=0.5%,P=0.838).In 2016,the most common malignant tumor in terms of both incidence and mortality in Dehui City was lung cancer,with a CIR of 60.76/100 000 and a CMR of 46.96/100 000.In Yanji City,the most common malignant tumor was liver cancer,with a CIR of 49.04/100 000 and a CMR of 51.09/100 000.Conclusion:Lung cancer,liver cancer,and gastric cancer are the major malignant tumors threatening residents in Dehui City,Yanji City,and even the entire Jilin Province,and should be prioritized in cancer prevention and control efforts.Early diagnosis and treatment should be strengthened.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.