Objective To compare the capture performance differences between TruSeq? Exome and NimbleGen SeqCap EZ Human Exome kits in children with cerebral palsy(CP),and to provide a technical selection basis for clinical genetic research and diagnosis.Methods Peripheral blood samples from 48 sporadic CP patients were included.Exome libraries were constructed using TruSeq(DNA probes)and NimbleGen(RNA probes),followed by sequencing on the Illumina HiSeq 2000 platform.Bioinformatics analysis was applied to evaluate mapping rate,target region coverage,variant concordance,and clinical relevance based on a CP-related gene set(2 293 genes).The statistical analysis was performed using a paired t-test with a significance threshold of α=0.05.Results The results showed no significant differences between NimbleGen and TruSeq exome capture kits in basic data quality(alignment rate,insert size)and GC content.However,they exhibited complementary characteristics in key performance metrics:NimbleGen demonstrated superior performance in specific depth coverage(1×coverage rate,P=1.84×10-5;20×coverage rate,P=1.49×10-20).TruSeq,on the other hand,showed higher sensitivity in Indel detection(TruSeq vs.NimbleGen:11 371±1 689 vs.11 274±1 670,P=3.24×10-7)and rare variant capture(TruSeq vs.NimbleGen:3 164±766 vs.3 072±774,P=1.20×10-4),successfully identifying all 11 pathogenic variants(including 2 missed by NimbleGen).Conclusion TruSeq,with its superior variant detection rate,is more suitable for clinical diagnostic applications,while NimbleGen's coverage stability may be advantageous for research-oriented projects.

Objective:The purpose of this study was to analyze the influencing factors of readmission after percutaneous coronary intervention(PCI)in patients with coronary heart disease and type 2 diabetes(T2DM),and to build a nomogram model.Methods:A retrospective study was conducted on 260 patients with coronary heart disease and T2DM who received PCI treatment in Yancheng Third People's Hospital from May 2019 to May 2023,clinical data were collected and followed up for 1 year.They were divided into on readmission group and unreadmission group based on their readmission after 1 year.Multivariate logistic regression analysis was conducted to determine risk factors,and a nomogram model was constructed using R software to evaluate its predictive efficiency.Results:Among the 260 patients,65 were readmitted after surgery,with a readmission rate of 25.00％(65/260).Univariate analysis showed that,left ventricular ejection fraction(LVEF),age,left main artery disease,hypertension history,number of coronary artery lesions,dyslipidemia,glycosylated hemoglobin(HbA1c),course of diabetes,fasting blood glucose(FBG),number of stents,and regular postoperative medication were related to readmission 1 year after PCI(P＜0.05).Age ≥ 70 years,hypertension history,coronary artery multi vessel disease,course of diabetes ≥ 10 years,HbA1c ≥7％,left main artery disease,dyslipidemia,LVEF＜50％,number of stents ≥3 were risk factor for readmission 1 year after PCI(P＜0.05).The nomogram model constructed based on the above risk factors has a C-index of 0.835 and an area under the receiver operating characteristic(ROC)the area under the curve(AUC)of 0.826.Conclusion:This study identified multiple risk factors for readmission in patients with coronary heart disease and T2DM 1 year after PCI.The constructed nomogram model can provide an effective tool for predicting the risk of readmission in clinical practice,and help medical staff develop personalized intervention measures to improve patient prognosis.

Objective To calculate and analyze the research and development(R&D)efficiency,as well as the technological achievements transformation efficiency,of ten"Double First-Class"medical universities and ten medical universities in the accumulative science and technology evaluation metrics over the last five years,in order to make recommendations for improving technological achievements transformation management at these universities.Methods The study used both classic data envelopment analysis and super-effectiveness data envelopment analysis models to assess the effectiveness of the R&D stage and technological achievements transformation stage at the selected medical universities.Furthermore,the Malmquist model was used to measure the changes in the efficiency of the transformation of scientific and technological achievements of the medical universities as a whole.Results Among the 20 medical universities chosen,the output efficiency in the R&D stage was greater than that in the technological achievements transformation stage.Five medical universities were output-effective at the R&D stage,and two medical universities were in the technological achievements transformation stage.The overall efficiency of scientific and technological achievements transformation in medical universities was steadily improving.Conclusion Based on the current situation,medical universities in China should strengthen effective collaboration between industry,academia,and research,establish professional teams for technological achievements transformation,improve the technological achievements transformation management system,improve talent team construction,and increase technological achievements transformation efficiency.

Culicoides Latreille is among the most diverse and numerous genera of blood-sucking midges,and is widely dis-tributed throughout the world.In addition to stinging and harassing humans and animals,it can also transmit a variety of infec-tious diseases in humans and animals,including African horse fever virus(AHSV),blue tongue virus(BTV),and Japanese encephalitis virus(JEV).Therefore,this insect is an important arbovirus vector of medical concern.Scientific monitoring and timely understanding of the population composition,density,and seasonal fluctuation are the basic premise for effective control of blood-sucking midges.In recent years,studies have increasingly assessed the ecological habits and monitoring methods of blood-sucking midges worldwide.This article reviews the frequently used monitoring methods for blood sucking midges world-wide,to provide a reference for monitoring midge density in China.The main methods include CDC light traps,CO2-baited CDC traps,CO2-baited CDC traps without light bulbs,Onderstepoort Veterinary Institute traps,BG-sentinel traps,human landing catch,human net trapping,animal enclosure traps,animal-baited trapping,sweep netting for adult monitoring,the saturated saline flotation method,the Berlese funnel method,and emergence traps for larval monitoring.The methods'operat-ing procedures,applicable monitoring scope,and advantages and limitations are described to provide ideas for promoting the development and improvement of monitoring technology and instruments.In addition,the monitoring methods described here-in,such as the CDC light trap method,sweep netting,and human landing catch,are applicable to monitoring and collecting other midge insects.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:The purpose of this study was to analyze the influencing factors of readmission after percutaneous coronary intervention(PCI)in patients with coronary heart disease and type 2 diabetes(T2DM),and to build a nomogram model.Methods:A retrospective study was conducted on 260 patients with coronary heart disease and T2DM who received PCI treatment in Yancheng Third People's Hospital from May 2019 to May 2023,clinical data were collected and followed up for 1 year.They were divided into on readmission group and unreadmission group based on their readmission after 1 year.Multivariate logistic regression analysis was conducted to determine risk factors,and a nomogram model was constructed using R software to evaluate its predictive efficiency.Results:Among the 260 patients,65 were readmitted after surgery,with a readmission rate of 25.00％(65/260).Univariate analysis showed that,left ventricular ejection fraction(LVEF),age,left main artery disease,hypertension history,number of coronary artery lesions,dyslipidemia,glycosylated hemoglobin(HbA1c),course of diabetes,fasting blood glucose(FBG),number of stents,and regular postoperative medication were related to readmission 1 year after PCI(P＜0.05).Age ≥ 70 years,hypertension history,coronary artery multi vessel disease,course of diabetes ≥ 10 years,HbA1c ≥7％,left main artery disease,dyslipidemia,LVEF＜50％,number of stents ≥3 were risk factor for readmission 1 year after PCI(P＜0.05).The nomogram model constructed based on the above risk factors has a C-index of 0.835 and an area under the receiver operating characteristic(ROC)the area under the curve(AUC)of 0.826.Conclusion:This study identified multiple risk factors for readmission in patients with coronary heart disease and T2DM 1 year after PCI.The constructed nomogram model can provide an effective tool for predicting the risk of readmission in clinical practice,and help medical staff develop personalized intervention measures to improve patient prognosis.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective To investigate the practical effects of pediatric rapid sequence intubation(RSI)nursing coordination training based on the LSPPDM(learn,see,practice,prove,do,maintain)framework in order to provide evidence for optimizing pediatric RSI nursing training programs.Methods Nurses from the intensive care unit(ICU)of Children's Hospital,Fudan University during Feb 2023 and Jan 2024 were divided into the experimental group(n=35)and the control group(n=35)by block randomization.The experimental group received LSPPDM framework-based training,while the control group underwent conventional training with theoretical lectures and procedural demonstrations.Outcomes included training satisfaction,theoretical knowledge and procedural skill assessment scores,team collaboration compliance and RSI procedure time were compared between the two groups.Results The experimental group demonstrated significantly higher training satisfaction(123.80±2.04 vs.117.26±9.82,P<0.05),superior post-training theoretical knowledge and procedural skills(P<0.05),enhanced team collaboration compliance(P<0.05),and shorter RSI completion time(P<0.05)compared with the control group.Conclusion Pediatric RSI nursing coordination training based on the LSPPDM framework can effectively increase training satisfaction,promote theoretical and procedural skills and reduce completion time in nurses.

Objective To compare the capture performance differences between TruSeq? Exome and NimbleGen SeqCap EZ Human Exome kits in children with cerebral palsy(CP),and to provide a technical selection basis for clinical genetic research and diagnosis.Methods Peripheral blood samples from 48 sporadic CP patients were included.Exome libraries were constructed using TruSeq(DNA probes)and NimbleGen(RNA probes),followed by sequencing on the Illumina HiSeq 2000 platform.Bioinformatics analysis was applied to evaluate mapping rate,target region coverage,variant concordance,and clinical relevance based on a CP-related gene set(2 293 genes).The statistical analysis was performed using a paired t-test with a significance threshold of α=0.05.Results The results showed no significant differences between NimbleGen and TruSeq exome capture kits in basic data quality(alignment rate,insert size)and GC content.However,they exhibited complementary characteristics in key performance metrics:NimbleGen demonstrated superior performance in specific depth coverage(1×coverage rate,P=1.84×10-5;20×coverage rate,P=1.49×10-20).TruSeq,on the other hand,showed higher sensitivity in Indel detection(TruSeq vs.NimbleGen:11 371±1 689 vs.11 274±1 670,P=3.24×10-7)and rare variant capture(TruSeq vs.NimbleGen:3 164±766 vs.3 072±774,P=1.20×10-4),successfully identifying all 11 pathogenic variants(including 2 missed by NimbleGen).Conclusion TruSeq,with its superior variant detection rate,is more suitable for clinical diagnostic applications,while NimbleGen's coverage stability may be advantageous for research-oriented projects.

To investigate the molecular mechanisms underlying the mechanosensitive ion channel PI-EZO2 in osteoarthritis(OA),we developed a lentiviral vector for endogenous PIEZO2 overexpression and established a stable PIEZO2-high-expressing immortalized human primary chondrocyte line.By map-ping the open reading frame of the PIEZO2 locus and designing sequence-specific sgRNA,we employed the CRISPR/Cas9 synergistic activation mediator(SAM)system to precisely integrate transcriptional ac-tivation elements into the PIEZO2 promoter region.Lentiviral-mediated targeted genomic integration en-sured endogenous PIEZO2 overexpression,confirmed by mCherry fluorescence tracing coupled with flow cytometric sorting,which revealed membrane-specific localization of PIEZO2 protein(localization effi-ciency:78.49％).Quantitative PCR demonstrated a 17-fold upregulation of PIEZO2 mRNA,while Western blotting validated enhanced membrane-localized protein expression.Strikingly,PIEZO2-overex-pressing chondrocytes exhibited hallmark OA metabolic phenotypes compared to wild-type controls:typeⅡ collagen mRNA expression decreased to 50％of baseline levels,whereas matrix metalloproteinase 13(MMP13)mRNA surged by 20-fold.These alterations recapitulated the pathological matrix metabolic phenotype observed in biomechanical OA models induced by cyclic mechanical stress(10％strain,0.5 Hz,8 h/day for 2 consecutive days).Collectively,we successfully generated a human chondrocyte model with stable PIEZO2 overexpression,which faithfully mirrors mechanotransduction-driven OA progression.This engineered cellular system provides a robust platform for dissecting PIEZO2-mediated mechanosig-naling networks and advancing targeted therapeutic discovery.