Alzheimer's disease(AD)is a neurodegenerative disorder primarily affecting memory,learn-ing,and cognitive functions.It poses a significant health concern for the elderly,but effective treatments are lacking.Its main pathological features are amyloid β(Aβ)deposits forming senile plaques(SPs)and neurofibrillary tangles(NFTs)formed by hyperphosphorylated tau(p-Tau).These pathological changes often induce oxidative stress,which is an important pathological mechanism in AD.Oxidative stress is closely associated with Aβ and Tau deposition and is a potential target for intervention in the treatment of AD.However,the pathological mechanisms leading to AD are multifactorial,and AD oxida-tive stress often interacts with other mechanisms to jointly influence the AD process.Therefore,this paper focuses on the regulatory relationship between mitophagy,neuroinflammation,neuronal apoptosis and nu-clear factor erythroid 2-related factor 2(Nrf2)and oxidative stress.By elucidating the relationship be-tween the pathological features,oxidative stress and its regulatory mechanism of AD,potential effective intervention targets were found.At present,numerous studies have indicated that exercise can alleviate oxidative stress in AD and improve cognitive function,but the underlying molecular mechanisms require further clarification.Therefore,we further discussed the mechanism by which exercise regulates oxidative stress and related molecular signaling pathways,and clarified that exercise may ameliorate AD oxidative stress by affecting these signaling pathways,thereby improving AD-related pathological features and cog-nitive function.It is helpful to understand the pathogenesis of AD from the perspective of molecular mechanism and provide theoretical support for scientific and effective exercise intervention to prevent and cure AD.

Objective To explore the correlation between serum hypoxia-inducible factor-1α(HIF-1α)levels and cerebral microbleeds(CMBs)and cognitive impairment and to assess the predictive value of HIF-1α for CSVD-related cognitive impairment.Methods A total of 104 patients with CSVD who attended the Department of Neurology,First Affiliated Hospital of Xinxiang Medical University from June 2022 to November 2023 were enrolled.All enrolled patients were subjected to basic statistics,cranial nuclear magnetic resonance examination,cognitive function assessment,and serum HIF-1α test,and the number and location of CMBs were counted.Based on the above data the enrolled patients were grouped.The correlation between HIF-1α and cognitive function and CMBs was studied the influencing factors of CMBs and cognitive impairment were analyzed,and the predictive value of HIF-1α on the occurrence of cognitive impairment was evaluated.Results There were statistically significant differences in HIF-1α levels and cognitive function among different CMBs groups.Serum HIF-1α levels were significantly negatively correlated with overall cognitive function,visuospatial and executive function,attention,and delayed recall,and serum HIF-1α was positively correlated with the number of CMBs.HIF-1α may be a risk factor for CMBs and cognitive impairment associated with CSVD,and serum HIF-1α has potential in predict the cognitive impairment caused by CSVD.Conclusion Serum levels of HIF-1α were associated with the number of CMB and CSVD-related cognitive impairment,and serum levels of HIF-1α may have a predictive value for CSVD-related cognitive impairment.

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 construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Due to the poor ionization efficiency and the weak mass spectrometry(MS)intensity of weakly polar substances,direct analysis using the traditional electrospray ionization mass spectrometry(ESI-MS)is a big challenge.In this study,a novel rapid on-site detection method of four prohibited sex hormones in cosmetics was proposed using online derivatization strategy coupled with a miniature mass spectrometer.The target substances in the samples were extracted by a custom-made polyaniline/multi-walled carbon nanotube solid-phase microextraction(SPME)probe.The stirring speed was 200 r/min,the extraction temperature was 40℃,and the extraction time was 2 min.A pulled dual-channel θ borosilicate glass capillary emitter was used as the nano-ESI ion source.The SPME probe was inserted into the channel containing methanol in theθborosilicate glass capillary.When the spray voltage was applied,the four sex hormones were desorbed and formed spray microdroplets,which then collided with the hydroxylamine microdroplets generated from the other channel.The microdroplets of reaction product entered into the miniature mass spectrometer for direct analysis.The limits of detection(LOD)and limits of quantification(LOQ)for the four sex hormones were 10-20 ng/mL and 20-50 ng/mL,respectively.The recoveries were from 84.6%to 107.8%with the relative standard deviations(RSD)from 4.1%to 11.6%.Compared to detection without derivatization,the MS signals of the four target substances were increased by 3 to 15 times.This method was simple,rapid,highly efficient and sensitive,and suitable for on-site rapid analysis of weakly polar sex hormones in cosmetics.

Objective:To analyze the epidemiological characteristics of drug resistance genes of carbapenemase-producing Escherichia coli (CPECO) in Henan Province Hospital of Traditional Chinese Medicine from 2021 to 2023, providing data support and theoretical basis for controlling nosocomial infections of CPECO.Methods:Using a cross-sectional study, 30 carbapenem-resistant Escherichia coli (CRECO) strains confirmed by VITEK-2 Compact identification and drug sensitivity test in the Clinical Microbiology Laboratory of Henan Province Hospital of Traditional Chinese Medicine from 2021 to 2023 were tested, using carbapenemase inhibitor enhancement test to conduct preliminary screening of carbapenemases, and colloidal gold immunochromatography and polymerase chain reaction (PCR) were used to determine the phenotypes and genotypes of common carbapenemases ( blaKPC, blaNDM, blaVIM, blaIMP, blaOXA) respectively, and the genotypes ( blaSHV, blaTEM, blaCTX) of common extended Spectrum beta-lactamases (ESBL) were confirmed using PCR. The PCR amplification products of carbapenemase and ESBL positive strains were Sanger-sequenced, and the sequencing products were compared on the Blast website to determine the exact carbapenemase and ESBL genotypes. Sequence typing (ST) was performed on CPECO using the Achtman multi-locus sequence typing scheme to determine the cloning relationship between different strains. Results:A total of 21 CPECO strains were screened. Drug sensitivity test results showed that CPECO strains showed widespread drug resistance, with the resistance rate to monocyclic (aztreonam) and trimethoprim/sulfamethoxazole being over 60%(16/21, 14/21), and the resistance rate to other antibacterial drugs being 100%. Only the sensitivity to aminoglycosides and fosfomycin remained relatively high, and no strains resistant to tigecycline and colistin were found. Colloidal gold immunochromatography detected 18 blaNDM types, 2 blaKPC types, and 1 blaIMP type. Sequencing of drug resistance gene PCR products classified 17 blaNDM-5 strains, 1 blaNDM-4 strain, 2 blaKPC-2 strain, and 1 blaIMP-4 strain, which were completely consistent with the results of screening test and colloidal gold immunochromatography. ESBL resistance gene testing showed that the detection rate of blaTEM was 42.9%(9/21), blaCTX-M was 33.3%(7/21), and blaSHV was 4.8%(1/21). The rate of blaNDM producing CPECO carrying both ESBL resistance genes was 27.8%(5/18). The MLST typing results revealed 11 sequence types (STs), including one ST155 clonal complex and nine singleton STs. Among these, there were seven strains of ST167, five strains of ST410, and one strain each of ST58, ST68, ST69, ST93, ST131, ST155, ST648, ST1114, and ST3268. Conclusion:The main resistance mechanism identified in this study for CPECO was the production of blaNDM-5 carbapenemase, with a high proportion of strains also carrying blaTEM-1D and/or blaCTX-M-15 ESBLs. MLST typing found that the epidemic strain of CPECO showed certain polymorphism, but there were clonal transmission of multiple clonal complexes between ST167 and ST410.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To establish a monitoring and evaluation index system for the building project of national children′s regional medical centre (shorted as the evaluation system), so as to provide quantitative supports for output hospitals to fulfil their primary responsibilities and offer guidance for project hospitals to implement target management.Methods:From April to June 2024, through searching literature and policy document, and combining with the actual situation of national regional medical center construction, the initial indicators of the evaluation system were screened. An evaluation system were constructed using two rounds of Delphi method, and the weights of indicators were determined by analytic hierarchy process.Results:This study invited 17 experts. The participation rates of experts in the two rounds of consultation exceeded 90.00%, with an expert authority coefficient of 0.96. The final evaluation system comprised 2 primary indicators, 8 secondary indicators, and 52 tertiary indicators. The primary indicators included project implementation status and project outcomes, with relative weights of 44.44% and 55.56% respectively. Project implementation status included 4 secondary indicators: project organisation, resource allocation, project progress, and safeguard mechanisms. Project outcomes encompassed 4 secondary indicators: healthcare service capacity, regional talent development outreach, and collaborative innovation.Conclusions:The evaluation system established in this study demonstrated a high degree of scientificity and feasibility. It could effectively supported the process management and outcome evaluation of establishing the national children′s regional medical centre. This system provided a scientific basis for enhancing the quality and efficiency of children′s healthcare services, optimising policy formulation and resource allocation.

Objective:To investigate the clinical efficacy of minimally invasive double anchoring combined with percutaneous kyphoplasty (PKP) for Kümmell disease.Methods:The clinical data of 24 patients with Kümmell disease who were treated with minimally invasive double anchoring combined with PKP in Cangzhou People's Hospital from October 2022 to March 2024 were retrospectively analyzed. Among them, there were 2 T 10 vertebrae, 5 T 11 vertebrae, 7 T 12 vertebrae, 6 L 1 vertebrae, and 4 L 2 vertebrae. There were 6 males and 18 females. The average age was 72.05±4.52 years (range, 66-80 years). The bone mineral density T value was -3.41±0.77 (range, -2.5-4.5). The stages of Li's Kümmell disease included 13 cases of stage II and 11 cases of stage III. The operation time, intraoperative blood loss, and volume of bone cement injected were recorded. The vertebral index, vertebral angle and Cobb angle of diseased segment were measured before and after operation. The visual analogue scale (VAS) was used to assess the degree of pain, the Oswestry disability index (ODI) and the Japanese Orthopaedic Association (JOA) low back pain scale were used to assess spinal function. The Medical Outcome Study short form 36 item health survey (SF-36) was used to assess the general health status of the patients. The postoperative symptom recovery was evaluated by Odom criteria. Results:The mean operative time of the 24 patients was 35.32±6.86 min, the injected volume of bone cement was 4.39±1.72 ml, and the intraoperative blood loss was 16.56±5.21 ml. All patients were followed up for 10 to 14 months, with an average of 11.7 months. Postoperative CT examination showed that the screw positions were satisfactory, and no loosening or displacement of bone cement mass occurred. On the first day after surgery, the vertebral body index, vertebral body angle and Cobb angle of diseased segment were 77.71%±2.75%, 12.40°±1.53° and 25.77°±4.49°, respectively, which represented significant improvements from the preoperative values of 43.09%±5.66%, 22.12°±2.92° and 46.98°±5.68° before surgery ( P<0.05). At the last follow-up, the values were 76.18%±2.32%, 12.41°±2.53°, 26.14°±4.87°, respectively, which were significantly improved compared with those before surgery ( P<0.05), but there was no statistical significance compared with the first day after surgery ( P>0.05). The VAS, ODI and JOA scores on the first day after surgery were 2.11±0.87 points, 22.46±5.49 points and 27.68±2.45 points, respectively, which were significantly improved compared with those before surgery 7.50±0.98 points, 76.25±8.56 points and 14.96±4.91 points ( P<0.05). At the last follow-up, the values were 2.26±0.88, 23.87±3.25 and 26.58±2.77, respectively, which were significantly improved compared with those before surgery ( P<0.05), and there was no statistical significance compared with the first day after surgery ( P>0.05). All 24 patients completed SF-36 scale assessment, and the results showed that there were statistically significant differences in physiological function, physiological role, physical pain, general health status, social function scores and mental health between the patients before surgery and the last follow-up ( P<0.05), while there were no statistically significant differences in vitality and emotional function ( P>0.05). At the last follow-up, the Odom criteria showed excellent results in 18 cases, good in 4 cases, and fair in 2 cases. Conclusions:The application of minimally invasive double anchoring (single nail fixation) combined with PKP in the treatment of Kümmell disease can effectively prevent the loosening and displacement of bone cement masses, and the fixation effect is satisfactory, which can restore the height of the injured vertebrum, reduce kyphosis and improve spinal function. The clinical symptoms of the patients were significantly improved, and the quality of life was enhanced.

Objective To improve and refine the relevant regulations and guiding principles of warnings on drug instructions and labels in China.Methods This paper sorted out the drug instructions of small molecule anti-tumor drugs listed by the U.S.Food and Drug Administration(FDA)from 2005 to 2022,included the drugs mentioned in the QT interval prolongation risk,analyzed the clinical research and QT research results,and sorted out the identification and warning rules of the instructions.Results A total of 35 drugs were included,4 drugs wrote the risk of QT interval prolongation in the black box warning,21 drugs were wrote in the warning and precautions position,6 drugs were wrote in the adverse reaction section,and 2 drugs were only described under clinical pharmacology section.According to the severity of the QT interval prolongation caused by the drug and whether there were serious clinical consequences,they were displayed in the warnings(black box warnings),precautions(warnings and precautions)and adverse reactions in the instructions.Conclusion The aim of this article is to provide a reference for the writing of QT risk warning information of the instructions of domestic drug production enterprises and regulatory departments.It is recommended to clarify the severity of drug safety and the location of the instructions in clinical research,and continue to carry out safety monitoring and update the instructions in time after listing.