BackgroundPatients with bipolar disorder exhibit persistent cognitive impairment across multiple domains， including executive function， memory， and attention. Furthermore， those with mixed features tend to have a poorer prognosis. Currently， research evidence regarding the characteristics of cognitive function and event-related potential P300， as well as their correlation， in patients with depressive episodes of bipolar disorder with mixed features remains limited. ObjectiveTo explore the correlation between cognitive function and event-related potential P300 in patients with depressive episodes of bipolar disorder with mixed features， analyze the influencing factors of cognitive function， so as to provide references for the improvement of cognitive function in this subtype of patients. MethodsA total of 73 patients who met the diagnostic criteria for depressive episodes of bipolar disorder in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were enrolled from the outpatient and inpatient departments of Tianjin Anding Hospital from November 2021 to April 2024. The Hamilton Depression Scale-17 item（HAMD-17） was used to assess the severity of depressive symptoms， and the Clinically Useful Depression Outcome Scale Supplemented with Questions for the DSM-5 Mixed Features Specifier （CUDOS-M） was used to evaluate whether patients presented with mixed features. Based on the CUDOS-M total scores， patients were divided into two groups： the mixed features group （n=34） and the non-mixed features group （n=39）. The MATRICS Consensus Cognitive Battery （MCCB） was used to assess cognitive function， and auditory event-related potential P300 testing was performed. Spearman correlation analysis was used to examine the correlations between P300 indicators and MCCB scores. Multiple linear regression analysis was conducted to investigate the influencing factors of cognitive function. ResultsPatients with depressive episodes of bipolar disorder with mixed features had a longer total illness duration than those without mixed features， and the difference was statistically significant （t=2.030， P<0.05）. Analysis of covariance showed that the MCCB scores for processing speed， attention/vigilance， and reasoning and problem solving were all lower in the mixed features group than those in the non-mixed features group （F=3.650， 3.520， 4.213， P<0.01）. However， no significant difference was found between the two groups in P300 latency or amplitude （P>0.05）. Correlation analysis revealed that the MCCB attention/vigilance score was negatively correlated with P300 latency in patients with depressive episodes of bipolar disorder with mixed features （r_s=-0.576， P<0.01）. Multiple linear regression analysis showed that， in the mixed features group， years of education positively predicted processing speed （β=0.378， P<0.05）， while P300 latency （β=-0.699， P<0.01） and age （β=-0.424， P<0.01） negatively predicted attention/vigilance function. ConclusionPatients with depressive episodes of bipolar disorder with mixed features have a longer illness duration and more severe impairment in three cognitive domains： processing speed， attention/vigilance， and reasoning and problem solving. P300 latency may be an influencing factor of attention/vigilance function in patients with depressive episodes of bipolar disorder with mixed features ［Funded by Tianjin Key Medical Discipline Construction Project （number， TJYXZDXK-3-015B）； Hospital-level Scientific Research Project of Tianjin Anding Hospital （number， ADYKHT2021010）］

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

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 the value of traditional pelvic floor ultrasound parameters combined with middle urethral sphincter elasticity parameters for diagnosing female stress urinary incontinence(SUI).Methods Fifty two female SUI patients(SUI group)and 45 healthy women(control group)were prospectively enrolled.Traditional pelvic floor ultrasound parameters and middle urethral sphincter elasticity parameters were compared between groups,and logistic regression analysis was performed,the efficacy of each parameter alone and their combination for diagnosing SUI was analyzed.Results Significant differences of bladder neck descent(BND),urethral rotation angle(URA),posterior urethrovesical angle(PUA),shear modulus of the middle urethral anterior wall sphincter at rest state(Q1),shear modulus of the middle urethral anterior wall sphincter under maximum Valsalva maneuver(Q2),and shear modulus of the middle urethral posterior wall sphincter at resting-state(H1)were found between groups(all P＜0.05).BND,PUA,Q1 and Q2 were all influencing factors of female SUI(all P＜0.05),with the area under the curve(AUC)for diagnosing SUI of 0.721,0.718,0.659 and 0.288,respectively.Then traditional ultrasound model,elasticity ultrasound model and combined model were constructed based on traditional pelvic floor ultrasound parameters(BND,PUA),middle urethral sphincter elasticity parameters(Q1,Q2)and their combination,respectively,with AUC for diagnosing SUI of 0.837,0.754 and 0.908,respectively.The AUC of combined model was higher than that of traditional ultrasound model,elasticity ultrasound model and each ultrasound parameter alone(all P＜0.05).Conclusion Traditional pelvic floor ultrasound parameters combined with middle urethral sphincter elasticity parameters had high value for diagnosing female SUI.

Objective To explore the expression of core proteoglycans(Decorin)and osteoglycine(Mimecan)in cervical cancer and their relationship with the characteristics of clinical pathological traits and the prognosis of patients.Methods A total of 148 patients with cervical cancer who underwent surgical treatment in our hospital were selected.The expression levels of Decorin and Mimecan were determined by immunohistochemistry(IHC).The positive expression rates of Decorin and Mimecan in patients with different clinicopathological features were compared,and the correlation between the two was analyzed.Cox regression model was used to assess risk factors for death in patients with cervical cancer.Kaplan-Meier survival curve was used to compare the survival rates of patients with positive and negative Decorin and Mimecan expression.Results The positive expression levels of Decorin and Mimecan were both lower in cervical cancer tissue than those in adjacent tissue of cancer(20.0%vs.75.0%,28.3%vs.63.3%,all P＜0.05).The positive expression rates of Decorin and Mimecan were lower in patients with a tumor diameter≥2 cm,FIGO stage Ⅲ-Ⅳ,lymph node metastasis and low tumor differentiation degree compared to those with a tumor diameter＜2 cm,FIGO stage Ⅰ-Ⅱ,no lymph node metastasis and moderately to well tumor differentiation degree(P＜0.05).There was a positive correlation of Decorin and Mimecan in cervical cancer tissue(r=0.686,P＜0.01).Multivariate Cox regression analysis confirmed that negative expression of Decorin(HR=2.365,95%CI:1.236-4.525)and Mimecan(HR=2.191,95%CI:1.322-3.631),FIGO stage Ⅲ-Ⅳ(HR=1.747,95%CI:1.147-2.660)and low tumor differentiation degree(HR=1.577,95%CI:1.035-2.404)were independent risk factors for mortality in cervical cancer patients(P＜0.05).The 5-year survival rate of patients with positive Decorin and Mimecan expression was higher than those with negative expression(79.3%vs.51.3%,73.8%vs.50.0%),and the median survival time was prolonged(75 months vs.60 months,74 months vs.60 months).Conclusion The positive expression rates of Decorin and Mimecan are reduced in cervical cancer tissue and may serve as potential biomarkers for prognostic evaluation of cervical cancer.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

Objective:To investigate the effect of anterior and posterior selective fusion strategy on evolution of coronal pattern in patients with Lenke 5C adolescent idiopathic scoliosis (AIS) and whether upper end vertebra (UEV)-1 strategy in anterior surgery would have an effect on postoperative coronal balance.Methods:A total of 108 Lenke 5C AIS patients with at least 2 years follow-up who underwent anterior or posterior selective thoracolumbar fusion surgery from January 2005 to December 2020 were enrolled, with 51 patients in the anterior group and 57 patients in the posterior group. The patients were categorized into three groups (type A, C 7PL-CSVL<20 mm; type B, C 7PL-CSVL ≥20 mm with C 7PL toward the concave side of the main curve; and type C, C 7PL-CSVL≥20 mm with C 7PL toward the convex side of the main curve) to investigate the evolution of coronal balance of each preoperative coronal pattern at the anterior and posterior groups. Parameters such as thoracolumbar Cobb angle, rate of coronal imbalance, and SRS-22 score were recorded at preoperative, 1 week postoperatively, and final follow-up in both groups. Results:The differences of basic date between the two groups were not statistically significant except for the fusion level (5.2±0.7 vs. 5.6±0.9, t=2.497, P=0.014). In the anterior group, a total of 27 patients with preoperative type A, 23 patients with preoperative type A maintained type A at the 1 week postoperatively, and 2 of them were converted to type C at the final follow-up. Four patients with preoperative type A converted to type C at the 1 week postoperatively, and all of them returned to type A at the final follow-up. A total of 23 patients with preoperative type C, four patients with preoperative type C maintained type C at the 1 week postoperatively, and one of them maintained type C at the final follow-up. Nineteen patients with preoperative type C converted to type A at the 1 week postoperatively, and all of them maintained type A at the final follow-up. In the posterior group, a total of 26 patients with preoperative type A, 22 patients with preoperative type A maintained type A at the 1 week postoperatively, and only 2 of these patients converted to type C at the final follow-up. Four of the preoperative type A patients converted to type C at the 1 week postoperatively, and all of them returned to type A at the final follow-up. A total of 29 patients with preoperative type C, thirteen patients with preoperative type C maintained type C at the 1 week postoperatively, and 7 of them maintained type C at the last follow-up. Sixteen patients with preoperative type C converted to type A at the 1 week postoperatively, of whom two converted to type C at the final follow-up. For patients with preoperative type C the rate of coronal imbalance was significantly lower in the anterior group than in the posterior group both in the immediate postoperative period (17% vs. 45%, P<0.05) and at the final follow-up (4% vs. 31%, P=0.038). The rate of coronal imbalance at final follow-up was significantly lower in the UEV-1 group than in the UEV group in the posterior approach (3% vs. 38%, P<0.05), and there was no difference between the two groups in the anterior approach. There were no significant differences in radiographic parameters and SRS-22 scores between the two groups, except for the thoracic Cobb angle at the final follow-up, which was greater in the anterior group than in the posterior group at the final follow-up (19.5±7.3 vs.16.4±5.6, t=2.427, P=0.017). Multivariate logistic regression analysis revealed that anterior surgery and Risser were risk factors for postoperative CIB of preoperative type C ( OR=21.138, P=0.030 and OR=0.406, P=0.048 respectively). Conclusion:For patients with preoperative type A, both anterior and posterior procedures lead to a satisfactory reconstruction of coronal balance. In patients with preoperative type C, anterior surgery acquire a better reconstruction of coronal balance. The strategy of proximal UEV-1 was similar to the strategy of UEV in terms of restoring coronary balance in anterior approach and it was unable to lower the rate of postoperative coronal imbalance. In contrast, UEV-1 strategy in posterior surgery was effective in reducing the rate of postoperative coronal imbalance.

Acute pancreatitis(AP)is a frequently encountered acute abdominal syndrome in clinical settings,and the integrated model of traditional Chinese and Western medicine(TCM-WM)has demonstrated notable advantages in the diagnosis and treatment of AP.To systematize and standardize clinical practices related to develop clinical pathway for integrated TCM-WM diagnosis and treatment of AP,which enhances the efficiency and quality of patient care.This pathway focuses on AP,a common acute and life-threatening disease within the digestive system,and outlines that the central pathological mechanism involves pancreatic injury and localized inflammation resulting from the abnormal activation of pancreatic enzymes.It has the characteristics of rapid onset,multiple causes,and complex manifestations.Severe cases can be life-threatening.At present,conventional treatments encompass a diverse range of modalities.Moreover,traditional Chinese medicine(TCM)holds distinct advantages in alleviating relevant symptoms,and TCM-WM is gaining increasing prevalence.To enhance the standardization and consistency of diagnostic and therapeutic practices,this clinical pathway clearly delineates the target patient population,which includes individuals diagnosed with abdominal pain disorder according to TCM and with AP in accordance with WM criteria,as well as the corresponding inclusion standards.The diagnostic framework integrates both TCM and WM guidelines,and further incorporates disease staging,severity grading,and syndrome differentiation to support a comprehensive and integrated diagnostic strategy.The treatment integrates approaches from both TCM and WM.Within the WM framework,interventions consist of basic supportive care,infection control,nutritional support,and the management of complications.In the context of TCM,the protocol includes syndrome differentiation and corresponding therapeutic strategies(Distinct syndrome patterns are identified and managed during the acute and convalescent phases),such as acupuncture and retention enema.This clinical pathway addresses multiple key components,including preventive strategies,post-treatment follow-up,criteria for evaluating therapeutic efficacy,admission and discharge,admission examination protocols,discharge criteria,and the rationale for deviations or withdrawal from the pathway.It is designed to provide a systematic and standardized reference framework for relevant clinical practices.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.