OBJECTIVE To build a new workflow of pharmacy intravenous admixture services （PIVAS）， effectively connect intelligent equipment， and promote the intelligent development of PIVAS. METHODS Based on intelligent auxiliary equipment， PIVAS workflow was optimized， and a process-oriented model was established. This model integrated intelligent prescription review （automatic prescription review+manual intervention mode）， intelligent labeling， intelligent allocation， intelligent sorting， and finished infusion quality inspection system. Furthermore， an assessment was conducted to examine unreasonable medical order rate of intelligent prescription review， the working efficiency and error rate of intelligent labeling machine and intelligent sorting machine， and the dispensing efficiency and accuracy of intelligent dispensing robot. RESULTS Under the intelligent prescription review mode， the rate of unreasonable medical orders decreased from 0.157% to 0.050% （P＜0.05）； automatic labeling efficiency reached 21.7 sheets/min， surpassing the manual labeling efficiency of 13.8 sheets/min （P＜0.05）， and the daily labeling error rate decreased from 6.1‰ to 2.5‰ （P＜0.05）. Simultaneously operating two dispensing robots significantly improved the efficiency of batch dispensing and reduced the residual amount of liquid medicine （P＜0.05）； additionally， a quality testing system for finished infusion was established， involving appearance， Tyndall effect， insoluble particles， turbidity， absorbance， pH and osmotic pressure， to ensure the quality of finished infusion and reduce the risk of infusion. CONCLUSIONS The new process of PIVAS connected with intelligent devices in our hospital can improve work efficiency， reduce dispensing errors， ensure the quality of finished infusion， and improve the level of pharmaceutical care.

Objective:To compare the effects of 5 prone ventilation positions in patients with acute respiratory distress syndrome (ARDS) with network Meta-analysis.Methods:The randomized controlled trials on various prone ventilation positions in patients with ARDS were retrieved from Cochrane Library, EMbase, CINAHL, PubMed, Web of Science, SinoMed, CNKI, Chinese Medical Association Guideline Database, Wanfang Data, China Biology Medicine disc, VIP Information and Chinese Clinical Trial Registry from their inception to December 31, 2023. Literature screening, quality assessment and data extraction were done following the inclusion and exclusion criteria. Network Meta-analysis of outcome indicators was done using Stata 18.0.Results:A total of 19 articles, covering 1 284 patients and 5 prone ventilation positions (0°, 10°, 30°, 25° and 45°) were included. Cochrane risk assessment results showed that 15 articles were grade B and 4 articles were grade C. In direct comparisons, heterogeneity was acceptable ( I2≤50% and P≥0.1). In network analysis, the global and local consistency test result showed good consistency ( P>0.05). Network Meta-analysis result showed that the incidences of pressure injury in patients with 10°, 25°, 30° and 45° prone ventilation were significantly lower than that in patients with 0° prone ventilation, the incidence of pressure injury in patients with 25° prone ventilation was significantly lower than that in patients with 10° prone ventilation, and there were statistical differences ( P<0.05); the oxygenation index in patients with 25° prone ventilation was significantly better than that in patients with 0°, 30° and 45° prone ventilation, and there was statistical difference ( P<0.05). Conclusions:The 25° prone ventilation can both effectively improve oxygenation and maximally reduce the incidence of pressure injury in patients with ARDS.

Objective To investigate the effectiveness of continuous improvement projects based on FOCUS-PDCA on the pathogen sample submission rate before antimicrobial therapy for inpatients.Methods FOCUS-PDCA was used to improve the pathogen sample submission rate in Affiliated Hospital of Nantong University from Jun.to Jul.2023.The inpatients from Jan.to May 2023(before improvement)were enrolled as control group,and the inpatients from Aug.to Dec.2023(after improvement)were enrolled as improvement group.The utilization rate of antibiotics,the submission rate of pathogen samples,the submission rate of clinical microbial samples and the detection rate of multidrug-resistant organisms were compared between the 2 groups.Results The utilization rate of therapeutic antimicrobial agents(32.18％vs 32.93％,P=0.003)and antimicrobial consumption intensity(39.99 defined daily dose[DDD]/100 patient-days vs 44.19 DDD/100 patient-days)in the improvement group were significantly lower than those in the control group.The pathogen sample submission rates before antimicrobial therapy and key antimicrobial combination therapy in the improvement group were significantly higher than those in the control group(52.01％vs 23.64％,87.74％vs 77.71％;both P＜0.001).The qualified rate of microbial specimens in the improvement group was significantly higher than that in the control group(88.77％vs 80.11％,P＜0.001).The detection rates of multidrug-resistant organisms and carbapenem-resistant Klebella pneumoniae in the improvement group were significantly lower than those in the control group(40.45％vs 48.42％,29.65％vs 43.17％;both P＜0.001).Conclusion The continuous improvement projects based on FOCUS-PDCA can improve the pathogen sample submission rate,reduce the detection rate of multidrug-resistant organisms,and promote standardized hospital infection quality management.

OBJECTIVE T o explore the values of body temperature,white blood cells(WBC),neutrophils(NEUT),platelets(PLT),red blood cell distribution width(RDW),procalcitonin(PCT)and C-reactive procal-citonin(PCT)in early diagnosis of postoperative nosocomial infections in the intensive care unit(ICU)patients undergoing surgical procedures.METHODS The clinical data that were collected from the surgery patients who were hospitalized in ICU of Affiliated Hospital of Nantong University from Mar.2021 to May 2022 were retro-spectively analyzed,and the enrolled patients were divided into the infection group with 45 cases and the non-infection group with 130 case according to the status of nosocomial infections.The highest body temperature and the levels of WBC,NEUT,PLT,RDW,PCT and CRP were observed and compared between the infection group within 48 hours before diagnosis with nosocomial infections and the non-infection group after ICU stay for 48 hours.The values of the single and joint detection of the indexes in prediction of postoperative nosocomial infec-tions in the ICU patients were analyzed.RESULTS The body temperature,WBC,NEUT,RDW,PCT and CRP of the infection group were 38.30(37.80,38.80)℃,14.10(10.90,17.30)× 109/L,12.22(9.32,15.12)×109/L,14.10(12.70,15.50)％,1.20(0.10,2.30)ng/ml and 55.00(40.00,70.00)mg/L,respectively,high er than those of the non-infection group(P＜0.05).CRP,body temperature,PCT,NEUT and WBC showed remarkable diag-nostic effects;the area under the curves(AUCs)of the above indexes were 0.968,0.952,0.939,0.896 and 0.886,respectively.The sensitivity of the joint detection of PCT and CRP was 0.978,with the specificity 0.985 and AUC 0.980;the sensitivity of the joint detection of body temperature,PCT and CRP was 0.978,with the specificity 0.992,AUC 0.991.CONCLUSIONS The ICU patients with postoperative nosocomial infections show high levels of body temperature,WBC,NEUT,PCT and CRP.The body temperature,PCT and CRP have high sensitivity and specificity,showing certain values in prediction of postoperative nosocomial infection in the ICU pa-tients;the joint detection of the indexes has higher diagnostic efficiency.

Objective To investigate the impact of lower inspiratory peak flow rates on airway peak pressure when using a ventilator to maintain respiratory function during the advanced life support phase of in-hospital cardiopulmonary resuscitation(CPR).Methods A prospective study was conducted,30 patients who underwent CPR for more than 20 minutes admitted to Lishui Municipal Central Hospital between September 2021 and December 2023 were enrolled as the study subjects.Volume controlled ventilation(VCV)with a descending flow waveform was used,while other preset parameters remained unchanged.Airway peak pressure was measured at different peak flow rates(55,50,45,and 40 L/min).The influence of varying flow rates on peak pressure was analyzed.Results During CPR,patients were in a continuous state of chest compressions.When the ventilator parameters were set conventionally,alarms for high airway pressure,low tidal volume(VT),and high respiratory rate often occurred,which affected the effectiveness of ventilatory support.There was a significant variation in airway peak pressure among different patients.As the peak flow rate increased from 40 L/min to 55 L/min,the airway peak pressure gradually increased.During the process of reducing the peak flow rate,the pulse oxygen saturation(SpO2)of all patients remained stable without significant changes.The 40 L/min group had significantly lower peak pressures than the 50 and 55 L/min groups,whereas the 55 L/min group had significantly higher pressures than all others[cmH2O(1 cmH2O≈0.098 kPa):41.20±9.06 vs.47.90±9.04 and 53.70±7.96,all P<0.05].When comparing patients with peak flow rates of 40 L/min and 50 L/min,as well as 45 L/min and 55 L/min,the average airway peak pressure increased significantly with each 10 L/min increment in inspiratory peak flow rate.However,the SpO2 remained essentially unchanged or slightly increased as the peak flow rate decreased.There were no statistically significant differences in SpO2 among patients at different peak flow rate levels.When the peak flow rate was set at 55,50,45,and 40 L/min,the proportions of patients with airway peak pressure>40 cmH2O were 100.0%,83.3%,63.3%,and 53.3%,respectively.Among them,the proportions of patients with airway peak pressure>50 cmH2O were 66.7%,40.0%,16.6%,and 16.6%,respectively.As the peak flow rate decreased,the proportion of patients with airway peak pressure>40 cmH2O gradually decreased.If the peak flow rate was set at 45 L/min or lower,the number of patients with airway peak pressure>50 cmH2O during CPR was less than 50.0%of the total number of cases.Conclusions During mechanical ventilation in CPR,using volume-controlled ventilation(VCV)mode with a decelerating waveform,improper peak flow rate settings can easily trigger high airway pressure alarms and result in low tidal volume(VT),leading to poor synchrony between the ventilator and the patient.Compared to peak flow rates of 55 L/min and above,selecting an inspiratory peak flow rate of 40 L/min and setting the high-pressure alarm at 50 cmH2O is suitable for the mechanical ventilation needs of most patients and does not affect oxygenation levels.This is a more appropriate choice.

Objective To develop a gas chromatography-tandem mass spectrometry(GC-MS/MS)method for the simultaneous determination of ephedrine and pseudoephedrine in urine.Methods Urine samples containing ephedrine and pseudoephedrine components were extracted with ethyl acetate,centrifuged to collect the supernatant and evaporated to dryness under a nitrogen stream and then derivatized with heptafluorobutyric anhydride 60 μL at 70 ℃ for 30 min,and re-evaporated under nitrogen,and then solubilized with 50 μL of methanol,and then analyzed by GC-MS/MS.Results The method demonstraed excellent linearity for ephedrine(0.05～10 μg/mL,r=0.999 8)and pseudoephedrine(0.02～5 μg/mL,r=0.999 5).Extraction recoveries ranged from 89.4％～95.8％(ephedrine)and 90.3％～93.8％(pseudoephedrine).Limits of detection and quantification of ephedrine and pseudoephedrine were 0.005 μg/mL and 0.01 μg/mL,the intra-day precision and accuracy were less than 5.87％and 9.56％,respectively,and the inter-day precision and accuracy were less than 7.54％and 9.27％,respectively.The stability of ephedrine and pseudoephedrine in urine in 15 d was good under the conditions of room temperature and-20 ℃.Conclusion The GC-MS/MS analytical method for the analysis of ephedrine and pseudoephedrine components in urine established in this study is accurate,stable and sensitive,which can provide data technical support for the forensic toxicological analysis of amphetamine-type drugs or new psychoactive substances in the cathinone group.

Metastasis is the leading cause of death from cutaneous melanoma. Identifying metastasis-related targets and developing corresponding therapeutic strategies are major areas of focus. While functional genomics strategies provide powerful tools for target discovery, investigations at the protein level can directly decode the bioactive epitopes on functional proteins. Aptamers present a promising avenue as they can explore membrane proteomes and have the potential to interfere with cell function. Herein, we developed a target and epitope discovery platform, termed functional aptamer evolution-enabled target identification (FAETI), by integrating affinity aptamer acquisition with phenotype screening and target protein identification. Utilizing the aptamer XH3C, which was screened for its migration-inhibitory function, we identified the Chondroitin Sulfate Proteoglycan 4 (CSPG4), as a potential target involved in melanoma migration. Further evidence demonstrated that XH3C induces cytoskeletal rearrangement by blocking the interaction between the bioactive epitope of CSPG4 and integrin α4. Taken together, our study demonstrates the robustness of aptamer-based molecular tools for target and epitope discovery. Additionally, XH3C is an affinity and functional molecule that selectively binds to a unique epitope on CSPG4, enabling the development of innovative therapeutic strategies.

Objective:To investigate the diagnostic and prognostic value of systemic immune inflammatory index (SII) for severe traumatic brain injury secondary to acute lung injury (sTBI-ALI).Methods:A retrospective study was conducted on patients with severe traumatic brain injury admitted to the trauma center of the First Affiliated Hospital of Soochow University from January 2021 to November 2023. Patients received standard treatments including hemostasis and intracranial pressure management. Vital signs and blood routine data were collected upon admission. Patients were categorized into sTBI group and sTBI-ALI group based on established clinical diagnostic criteria for ALI to evaluate the diagnostic utility of SII. Subsequently, within the sTBI-ALI group, patients were stratified into survival and non-survival groups based on their 30-day outcomes to assess the prognostic value of SII.Results:A total of 260 sTBI patients were enrolled, of whom 113 developed ALI. Among the sTBI-ALI patients, 73 survived at 30 days. Compared to the sTBI group, the sTBI-ALI group exhibited significantly higher respiratory rates, heart rates, white blood cell counts, neutrophil counts, platelet counts, and SII levels (all P<0.05). Multivariate logistic regression analysis showed that SII index ( OR=1.003, 95% CI: 1.002-1.004, P<0.001) was an independent risk factor for ALI development in sTBI patients. The combined predictive model incorporating SII and heart rate yielded an AUC of 0.801 (95% CI: 0.740-0.862). The non-survival group had significantly higher neutrophil counts and SII levels, and significantly lower Glasgow Coma Scale scores than the survival group (all P<0.05). Multifactorial regression analysis indicated that SII index ( OR=1.002, P=0.004, 95% CI: 1.000-1.003) served as an independent risk factor for 30-day mortality in sTBI-ALI patients. The combined predictive model of SII and GCS achieved an AUC of 0.904 (95% CI: 0.848-0.960). Conclusions:SII demonstrates potential as a biomarker for predicting the development of ALI following sTBI. Furthermore, incorporating SII into predictive models significantly enhances the ability to forecast mortality risk in sTBI-ALI patients.

ObjectiveTo analyze the genomic characteristics of Streptococcus pyogenes (GAS) isolated from children with respiratory tract infections in a tertiary hospital in Jinshan District of Shanghai during 2013‒2024, to compare the changes in trend for genomic characteristics before and after 2000, and to provide scientific data for the prevention and control of GAS infections. MethodsGAS strains isolated from children with respiratory tract infections in this hospital were collected from 2013 to 2024. Antimicrobial susceptibility of the isolated strains to 12 antibiotics, including penicillin, cefotaxime, cefepime, linezolid, vancomycin, meropenem, chloramphenicol, ofloxacin, levofloxacin, erythromycin, clindamycin, and tetracycline, was determined using broth microdilution plate method. Besides, whole genome sequencing (WGS) was used to analyze multilocus sequence type (MLST), emm typing, carriage of superantigen genes, mobile genetic element (MGE), carriage of virulence gene, and genomic phylogenetic tree of the isolated strains. ResultsA total of 50 GAS strains were collected and identified from children with respiratory tract infections aged 4‒14 years old, and the resistance rates of those isolates to erythromycin, clindamycin, and tetracycline were 100.00%, 100.00%, and 86.00%, respectively. There were two emm types in the GAS isolates; the emm12 type accounted for 76.00% (38/50), corresponding to ST36 type, and the emm1 type accounted for 24.00% (12/50), corresponding to ST28, ST1274, and new-1 types. There was a statistically significant difference in the constitution of the MLST before and after 2020 (P=0.015). All the isolates carried the superantigen genes speC, speG, ssa, and smeZ. The predominant emm12 isolates belonged to the Clade Ⅱ, carrying the mobile elements ICE-emm12 (harboring erythromycin-resistance gene ermB and tetracycline-resistance gene tetM) and ΦHKU.vir (carrying virulence genes speC and ssa). The emm1 isolates carried the mobile elements ICE-HKU488 (harboring erythromycin-resistance gene ermB and tetracycline-resistance gene tetM) and ΦHKU488.vir (carrying virulence genes speC and ssa), and had close phylogenetical relationships with isolates from Hong Kong, China. No M1_UK new clone strains were found. The ST1274 isolates of emm1 were newly discovered in 2020‒2024, and belonged to a separate phylogenetic clade. ConclusionGAS strains isolated from children with respiratory tract infections in a tertiary hospital in Jinshan District of Shanghai exhibit a high resistance to erythromycin, clindamycin, and tetracycline. It is recommended that the clinical treatments change to use other antimicrobial drugs, such as penicillin, third-generation cephalosporins, and fluoroquinolones. During 2020‒2024, a new ST1274 clone strain is discovered in emm1 GAS isolates, without M1_UK new clone strains being found. It is essential to continuously concern locally prevalent GAS strains and perform early identification of MLST types to promptly monitor the internal changes of the bacterial population and potential prevalence of new clones.