OBJECTIVE To investigate the protective effect of 2-dodecyl-6-methoxy-2，5-diene-1，4-cyclohexanedione （DMDD）， an active component from Averrhoa carambola root， on myocardial injury in diabetic mice based on the nuclear receptor coactivator 4/ferritin heavy chain 1/autophagy-related protein 8 （NCOA4/FTH1/ATG8） axis. METHODS The successfully modeled diabetic mice were randomly divided into model group and DMDD low-， medium-， and high-dose （12.5， 25， 50 mg/kg） groups， while an additional non-modeled control group was established， with 6 mice in each group. Each group received the corresponding drug solution or an equal volume of normal saline intragastically once daily for 21 consecutive days. After the administration， the levels of fasting blood glucose （FBG）， serum lactate dehydrogenase （LDH）， and creatine kinase isoenzyme MB （CK-MB） were measured. Myocardial pathological changes， degree of fibrosis， and myocardial cell ultrastructure were observed. Myocardial cell death index and NCOA4 protein positive index were detected. The protein expression levels of NCOA4， FTH1， ATG8， solute carrier family 7 member 11 （SLC7A11）， and glutathione peroxidase 4 （GPX4） in cardiac tissue were measured. RESULTS Compared with model group， each DMDD group showed significant alleviation of cardiac pathological injury and varying degrees of improvement in the myocardial cell ultrastructure. The FBG and serum LDH and CK-MB levels， the myocardial cell death index and NCOA4 protein positive index，the protein expression levels of NCOA4， FTH1， and ATG8 in cardiac tissue were significantly decreased （ P ＜0.001）， while the protein expression levels of SLC7A11 and GPX4 were significantly increased （ P ＜0.001）. CONCLUSIONS DMDD can reduce blood glucose levels， alleviate myocardial histopathological injury， and inhibit cell death in diabetic mice. The mechanism is associated with inhibiting excessive activation of the NCOA4/FTH1/ATG8 axis and reducing ferritinophagy.

Objective To explore the application effect of a standardized management method based on failure mode and effect analysis （FMEA） in optimizing the whole-process quality control system of the intravenous admixture service （PIVAS）. Methods The quality control management system of the PIVAS was optimized by establishing six quality control groups led by the head nurse, with full participation of pharmacy, nursing, and logistical staff, ensuring comprehensive coverage and traceability of all quality control links. Each group conducted risk priority number （RPN） scoring for potential failure modes in their respective quality control processes, and targeted improvement measures were formulated based on the scoring results. The RPN values of failure modes and quality control-related evaluation indicators before and after implementation were compared to achieve closed-loop management. Results After one year of management, the RPN values of the six major failure modes significantly decreased compared to those before implementation （P<0.05）. The compounding error rate dropped to 0.13%, the dispensing error rate decreased to 0.95%, the compounding efficiency increased to 98%, the delivery time was shortened by 0.45 h per batch, the intervention rate for irrational prescriptions rose to 94.87%, satisfaction improved to 96.78%, and the participation rate of quality control personnel reached 95.36% （P<0.05）. Conclusion FMEA-based identification of potential failure modes in the whole-process quality control system of the IVAS, combined with risk quantification and targeted interventions, significantly reduced high-risk failure modes, improved compounding accuracy and efficiency, and ensured the safety of clinical intravenous medication and the effectiveness of healthcare quality management.

Objective To explore the application effect of a standardized management method based on failure mode and effect analysis （FMEA） in optimizing the whole-process quality control system of the intravenous admixture service （PIVAS）. Methods The quality control management system of the PIVAS was optimized by establishing six quality control groups led by the head nurse, with full participation of pharmacy, nursing, and logistical staff, ensuring comprehensive coverage and traceability of all quality control links. Each group conducted risk priority number （RPN） scoring for potential failure modes in their respective quality control processes, and targeted improvement measures were formulated based on the scoring results. The RPN values of failure modes and quality control-related evaluation indicators before and after implementation were compared to achieve closed-loop management. Results After one year of management, the RPN values of the six major failure modes significantly decreased compared to those before implementation （P<0.05）. The compounding error rate dropped to 0.13%, the dispensing error rate decreased to 0.95%, the compounding efficiency increased to 98%, the delivery time was shortened by 0.45 h per batch, the intervention rate for irrational prescriptions rose to 94.87%, satisfaction improved to 96.78%, and the participation rate of quality control personnel reached 95.36% （P<0.05）. Conclusion FMEA-based identification of potential failure modes in the whole-process quality control system of the IVAS, combined with risk quantification and targeted interventions, significantly reduced high-risk failure modes, improved compounding accuracy and efficiency, and ensured the safety of clinical intravenous medication and the effectiveness of healthcare quality management.

Objective To investigate the potential mechanism of miR-21-5p in alleviating cerebral ischemia-reperfusion injury by targeting STAT3.Methods The HT22 cells were induced by OGD/R to construct a cell model of cerebral ischemia reperfusion injury.The expression of miR-21-5p was detected by RT-qPCR.The CCK-8 assay,TUNEL staining and flow cytometry were respectively used to detect the cell viability and apoptosis.ELISA assay was used to determine the contents of inflammatory factors IL-6,IL-10 and TNF-α in the cell supernatant.Western blot was used to detect the expression levels of p-STAT3/STAT3,Cleaved-Caspase-3,Bax and Bcl-2 proteins.The TargetScan database was used to predict the binding sites of miR-21-5p and STAT3.The dual-luciferase reporter gene assay was used to verify the targeting relationship between miR-21-5p and STAT3.Results The relative expression level of miR-21-5p was down-regulated in HT22 cells which induced by OGD/R(P<0.001).The cell viability(P<0.0001)was decreased and the apoptosis rate(P<0.001)was increased in OGD/R induced-HT22 cells.The contents of pro-inflammatory factors IL-6(P<0.001)and TNF-α(P<0.001)was increased,while the content of anti-inflammatory factor IL-10(P<0.001)decreased.After transfection with miR-21-5p mimic,cell viability was enhanced,apoptosis rate was reduced and neuroinflammation was inhibited.MiR-21-5p could target and bind to STAT3.After miR-21-5p inhibitor transfection,cell viability decreased,apoptosis was promoted,and neuroinflammation occurred;STAT3 inhibitor Stattic could reverse the effect of miR-21-5p inhibitor.Conclusion MiR-21-5p could specifically bind to STAT3 and reduce the neuroinflammation and apoptosis of OGD/R induced-HT22 cells.

Objective To compare the clinical effects of single-puncture and double-puncture subcutaneous tunneling techniques for PICC placement in cancer patients,and to provide references for nurses in selecting appropriate catheterization methods.Methods A continuous sampling method was adopted to select cancer patients who underwent PICC placement in the Department of Oncology at a tertiary general hospital in Nanning from June 2022 to December 2023.According to the actual catheterization technique received by patients,they were assigned to either the single-puncture or double-puncture subcutaneous tunneling group.After 1:1 propensity score matching(PSM),the 2 groups were compared in terms of catheter-related complication rates,pain scores and total catheterization time.Results After propensity score matching,79 patients were included in each group.The results showed that the incidence of catheter-related thrombosis,pain scores,and total catheterization time in the one-needle subcutaneous tunneling group were significantly lower than those in the two-needle subcutaneous tunneling group,with statistically significant differences(P＜0.05).Conclusion The one-needle subcutaneous tunneling method can effectively reduce the incidence of catheter-related thrombosis and pain during catheterization in cancer patients,while also shortening the total catheterization time.

Objective To investigate the value of chest contrast-enhanced CT(C-CECT)combined with artificial intelligence iterative reconstruction(AIIR)for bronchial artery(BA)imaging.Methods Seventy patients who underwent C-CECT were prospectively enrolled.The images were reconstructed with AIIR(AIIR group)and hybrid iterative reconstruction(HIR,HIR group),respectively.The overall image quality,the traceability of BA,the sharpness of BA and the diagnostic confidence of abnormalities of BA were subjectively graded using a 5-point scale by two radiologists,respectively.The subjective scores and inter-observer agreement were compared between groups.The noise(SD)in reconstructed images of thoracic aorta,pulmonary trunk,BA and spinal erectors,the contrast-to-noise ratio(CNR)of the above 3 arteries relative to spinal erectors,and the diameters of BA at the origin,bifurcation and pulmonary hilum were compared between groups.Results The scores of the overall image quality,the traceability of BA,the sharpness of BA and the diagnostic confidence of abnormalities of BA were all significantly higher in AIIR group than those in HIR group(all P＜0.001),all with good inter-observer agreement(Kappa=0.46-0.73).SD of the aorta,pulmonary artery trunk,BA and erector spinal muscle in AIIR group were lower than those in HIR group,while CNR of above 3 arteries were higher than those in HIR group(all P＜0.05).No significant difference of the diameter of BA at each position was found between groups(all P＞0.05),while the consistency of measurement of AIIR group was higher than that of HIR group(intra-class correlation coefficient:0.89-0.94 vs.0.63-0.78).Conclusion C-CECT combined with AIIR could significantly improve imaging quality and diagnostic confidence of BA.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective:To observe any effect of supplementing treatment according to the Early Start Denver model (ESDM) with repeated transcranial magnetic stimulation (rTMS) in the treatment of children with autism spectrum disorder (ASD).Methods:Sixty-seven children on the autism spectrum aged 2 or 3 years were randomly divided into a control group of 33 and an observation group of 34. Both groups were treated as specified by the ESDM for 24 weeks, but the observation group additionally received rTMS. At 12 and 24 weeks, both groups were evaluated using the Autism Behavior Checklist, the Childhood Autism Rating Scale (CARS), the revised version of the Repetitive Behavior Scale (RBS-R), Gesell Development Schedules, and the Autism Treatment Evaluation Checklist (ATEC).Results:The CARS, Gesell, RBS-R and ATEC results of both groups had improved significantly after 12 weeks, with further improvements observed another 12 weeks later, when the average Autism Behavior Checklist scores had also improved significantly. At that point the results of the observation group were significantly better than those of the control group, on average.Conclusions:Combining ESDM and rTMS can significantly relieve the main symptoms of autism and improve the comprehensive development of children on the autism spectrum 2 or 3 years old. Therefore, such combination is worthy of application in clinical practice.

Objective:To investigate the effects of polypharmacy on accelerated biological aging in older adults and to examine the mediating role of depressive symptoms in this relationship.Methods:This study utilized data from the National Health and Nutrition Examination Survey(NHANES), including participants aged 65 years and older who reported taking at least one prescription medication across seven survey cycles from 2005 to 2018.Polypharmacy was defined as the use of five or more medications.Depressive symptoms were assessed using the Patient Health Questionnaire-9(PHQ-9). Accelerated biological aging(AgeDelta)was quantified as the difference between chronological age and biological age, calculated using three distinct algorithms: phenotypic age(PhenoAge), Klemera-Doubal biological age(KD-BioAge), and anthropometric age(AnthroAge). Correlation matrices were employed to evaluate associations between the number of medications, depressive symptoms, and biological aging.Weighted multiple linear regression models were used to assess the impact of polypharmacy on biological aging, while mediation analyses were conducted to determine the mediating effect of depressive symptoms on the relationship between polypharmacy and accelerated biological aging.Results:The study included 8 597 older adults, among whom 3 973(weighted percentage: 45.1%)were identified as polypharmacy users.After adjusting for multiple covariates, weighted linear regression analyses revealed that polypharmacy remained significantly associated with PhenoDelta( β=2.114, 95% CI: 1.618-2.612, P<0.001), KD-Delta( β=1.181, 95% CI: 0.909-1.452, P<0.001), and AnthroDelta( β=0.275, 95% CI: 0.158-0.393, P<0.001). Mediation analyses indicated that depressive symptoms accounted for 8.7%, 3.6%, and 11.5% of the mediating effects between polypharmacy and the three biological aging phenotypes, respectively. Conclusions:Polypharmacy in older adults may contribute to accelerated biological aging, with depressive symptoms partially mediating this relationship.