ObjectiveTo investigate the association of alpha-fetoprotein （AFP） and prealbumin （PAB） with the 90-day prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure （HBV-ACLF）， as well as the difference in 90-day prognosis between the patients with different levels of AFP and PAB. MethodsA total of 371 HBV-ACLF patients who were hospitalized in The General Hospital of Western Theater Command from January 2018 to January 2023 were enrolled， and according to the follow-up results on day 90 after discharge， they were divided into survival group with 216 patients and death group with 155 patients. The medical record system was used to collect general data， AFP， PAB， and other related laboratory markers. The t-test was used for comparison of normally distributed continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for comparison between two groups. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the Kruskal-Wallis H test was used for comparison between multiple groups and further comparison between two groups. The chi-square test was used for comparison of categorical data between groups. The multivariate logistic regression analysis was used to identify the influencing factors for the prognosis of HBV-ACLF patients. The receiver operating characteristic （ROC） curve was plotted for AFP and PAB to determine their cut-off values. The Kaplan-Meier method was used to plot survival curves， and the Log-rank test was used for comparison. ResultsCompared with the death group， the survival group had significantly higher levels of hemoglobin （Hb）， PAB， AFP， and platelet count （PLT） （all P<0.05） and significantly lower age， total bilirubin （TBil）， white blood cell count （WBC）， cystatin， creatinine， urea， international normalized ratio （INR）， Model for End-Stage Liver Disease （MELD） score， proportion of patients with Child-Pugh class C， and incidence rates of ascites and hepatic encephalopathy （all P<0.05）. The multivariate logistic regression analysis showed that PAB （odds ratio ［OR］=0.985， 95% confidence interval ［CI］： 0.972‍ ‍—‍ ‍0.998， P=0.024）， AFP （OR=0.998， 95%CI： 0.996‍ ‍—‍ ‍1.000， P=0.028）， PLT （OR=0.989， 95%CI： 0.982‍ ‍—‍ ‍0.996， P=0.003）， age （OR=1.046， 95%CI： 1.018‍ ‍—‍ ‍1.075， P=0.001）， TBil （OR=1.004， 95%CI： 1.002‍ ‍—‍ ‍1.006， P<0.001）， and WBC （OR=1.237， 95%CI： 1.110‍ ‍—‍ ‍1.379， P<0.001） were independent influencing factors for 90-day prognosis in HBV-ACLF patients. According to the cut-off values of AFP and PAB on ROC curves， the patients were divided into group A with 102 patients （AFP≥73.19 ng/mL and PAB≥22.55 mg/L）， group B with 170 patients （AFP≥73.19 ng/mL and PAB<22.55 mg/L； AFP<73.19 ng/mL and PAB≥22.55 mg/L）， and group C with 99 patients （AFP<73.19 ng/mL and PAB<22.55 mg/L）. There were significant differences between these three groups in age， Hb， INR， MELD score， and Child-Pugh class （all P<0.05）. The Kaplan-Meier survival analysis showed that group A had a significantly higher 90-day cumulative survival rate than groups B and C （χ²=19.825， P<0.001）. ConclusionAFP combined with PAB can better predict the 90-day prognosis of HBV-ACLF patients， and patients with high levels of AFP and PAB tend to have a lower mortality rate on day 90.

Objective:To construct a nursing quality evaluation indicator system for pulse indicator continuous cardiac output (PiCCO) monitoring and provide a basis for evaluating the nursing quality of PiCCO monitoring.Methods:Using Donabedian′s "structure-process-result" three-dimensional quality evaluation model as the theoretical framework, the nursing quality evaluation indicator system for PiCCO was established through literature search, Delphi expert correspondence, and hierarchical analysis during the period May to August 2023.Results:Of the 22 experts, 6 were male and 16 were female, aged (46.59 ± 4.34) years. The return rates of the questionnaires of the 2 rounds of expert correspondence were both 100%, the coefficients of expert authority were both 0.945, and the Kendall coordination coefficients were 0.045-0.186 ( χ2 values were 2.00-221.46, all P<0.05) and 0.045-0.132 ( χ2 values were 2.00-82.16, all P<0.05), respectively. The finalized nursing quality evaluation indicator system for PiCCO included 3 primary indicators, 7 secondary indicators, and 36 tertiary indicators. Conclusions:The nursing quality evaluation indicator system for PiCCO is practical and scientific, which can provide reference for PiCCO monitoring nursing quality evaluation.

Objective:To explore the clinical phenotype, pregnancy outcome and follow-up of fetuses with 15q11.2BP1-BP2 microdeletions in order to provide a basis for prenatal and reproductive consultation.Methods:From March 2019 to December 2023, 20 fetuses who were diagnosed with 15q11.2BP1-BP2 microdeletion syndrome at the Prenatal Diagnosis Center of General Hospital of Ningxia Medical University were selected as the study subjects. Results of genetic testing and ultrasound examination, outcome of pregnancy, and postnatal follow-up were retrospectively analyzed. This study has been approved by the Ethics Committee of General Hospital of Ningxia Medical University (No. [2020]0520B).Results:None of the 20 fetuses was found to have chromosomal abnormality, whilst all were found to harbor a 15q11.2 BP1-BP2 microdeletion by low-depth whole genome sequencing (CNV-seq). The range of deletions was determined as 0.26 ~ 0.87 Mb, and all were rated as pathogenic CNVs. Three fetuses had abnormal ultrasound findings, including 1 with widened renal pelvis, 1 with agenesis of corpus callosum, and 1 with nuchal fold thickening. Parental verification in 10 couples verified that two fetal deletions were de novo, whilst the remaining eight were inherited from a phenotypically normal parent. Following genetic counseling, three couples had opted to terminate the pregnancy, whilst the remaining 17 had continued with the pregnancy until delivery. The 17 liveborns were followed up for 2 months to 5 years, with no obvious abnormality in growth and development noted. Conclusion:CNV-seq plays an important role in the prenatal diagnosis of 15q11.2 BP1-BP2 microdeletions. Such deletions may not always lead to disease phenotypes. Individualized consultation and long-term follow-up, in combination with intrauterine ultrasound and parental verification are necessary.

OBJECTIVE To investigate the characteristics of multidrug-resistant organisms(MDROs)infections in the patients of intensive care units(ICUs)so as to provide supportive data for precise prevention and control of in-fections.METHODS From Jan.2016 to Dec.2023,the case-time incidence of hospital-associated MDROs infec-tions,constituent ratios,infection sites and characteristics of drug resistance were observed and compared among the patients from 5 different ICUs of the First Affiliated Hospital of Suzhou University by means of real-time sur-veillance system of hospital-associated infection.RESULTS Among the ICU patients,there were 1322 case-times of hospital-associated infections with MDROs,and the case-time incidence rate was 4.67％,which varied in the ICUs.The patients with lower respiratory tract infections accounted for 66.51％,the patients with bloodstream infections 14.53％,the patients with urinary tract infections 10.78％.The distribution of infection sites,distribu-tion of pathogens and etiological spectrum of infection sites varied according to the ICUs.In general,the percenta-ges of carbapenem-resistant Klebsiella pneumoniae(CRKP)and carbapenem-resistant Acinetobacter baumannii(CRAB)infections were highest,which were 35.63％(471/1322)and 38.28％(506/1322),respectively.The drug resistance rates of the CRKP strains to polymyxin B and ceftazidime-avibactam were low,and the drug re-sistance rate to tigecycline was 38.44％.The drug resistance rates of the CRAB strains to polymyxin B and tigecy-cline were 10.00％and 21.64％,respectively.The carbapenem-resistant Pseudomonas aeruginosa(CRPA)strains showed high sensitivity to most of the antibiotics.The drug resistance rates of the methicillin-resistant Staphylococcus aureus(MRSA)strains to tetracycline,levofloxacin,gentamicin,moxifloxacin and ciprofloxacin were high.CONCLUSION It is necessary for the hospital to reasonably use antibiotics based on the result of sur-veillance of MDROs in the ICUs and take targeted prevention measures for the infections.

Objective Focusing on the problems of unbalanced nursing education resources and insufficient training,it discusses the path of nursing echelon training and nursing education resources optimization in secondary hospitals.Methods Based on nursing questionnaire,interview data and platform logs from 4 secondary hospitals in Hainan Province,Latent Dirichlet Allocation topic modeling,sentiment analysis and Social Network Analysis were used.Identify the core problems of educational resources and training system and propose optimization schemes.Results Topic modeling revealed that insufficient educational resources and information silos were major obstacles to shared platform development.Similarity analysis result showed high consistency in feedback regarding disconnected training content and single training models.Sentiment analysis result indicated that 50％of negative feedback focused on inadequate evaluation and incentive mechanisms.Social Network Analysis validated the significant role of multi-node collaboration in optimizing resource flows.Conclusion Building shared platforms,implementing differentiated training systems,and developing localized nursing faculty are critical pathways to achieving homogenized nursing education,providing valuable references for optimizing regional nursing education.

To enhance the emergency response capabilities of medical institutions and community public health,and strengthen the efficiency in handling major sudden infectious disease events.METHODS Relying on community grid management and under the integration of medical treatment and disease prevention,a multi-level medical service system was established,funding guarantees were implemented,and software and hardware supports were strengthened by emphasizing infection control training and introducing modern technological means like artifi-cial intelligence.In addition,stratified screening for infectious diseases among different populations was carried out in an orderly manner.RESULTS The grid management model for infectious diseases based on the integration of medical treatment and disease prevention in Suzhou was preliminarily formed and applied to the screening and treatment of COVID-19 and hepatitis C.The epidemic prevention teams,jointly established by medical institutions and community-based medical and preventive organizations,were critical for emergency response to major sud-den infectious diseases and became a key component of epidemic prevention and control.CONCLUSION The grid management strategy for infectious diseases based on the integration of medical treatment and disease preven-tion in Suzhou demonstrates certain reference value in enhancing emergency response capabilities and efficiency for major sudden infectious diseases,as well as in the field of disease prevention and control.

OBJECTIVE To investigate the current status and risk factors of carbapenem-resistant gram-negative or-ganisms(CRO)infections in neurosurgical ICU patients,and to construct and validate their prediction models.METHODS Clinical data and active screening microbiological results of 113 patients admitted to the Neurosurgical Intensive Care Unit(ICU)of The First Affiliated Hospital of Soochow University between Jul.2023 and Jan.2024 were retrospectively collected,and the patients were divided into a CRO-infected group(n=28)and a non-CRO-infected group(n=85).Predictive variables were screened using LASSO regression and logistic regression.Risk prediction models were constructed using random forest(RF)and logistic regression,the performance of the mod-el was evaluated by analyzing the area under the receiver operating characteristic(ROC)curve(AUC),calibration curves,and decision curves,and internal validation was performed using the bootstrap resampling method.RESULTS Among 113 neurosurgical ICU patients,28 cases developed CRO infections,with an infection rate of 24.78％.The highest infection rate was observed in lower respiratory tract infection,with 17 cases(15.04％).The predominant CRO pathogens were carbapenem-resistant Klebsiella pneumoniae(CRKP)and carbapenem-re-sistant Acinetobacter baumannii(CRAB),accounting for 50.00％and 42.86％of cases respectively.The AUC values for the RF prediction model and nomogram prediction modeling groups were 0.881 and 0.787 respectively,with Brier scores of 0.114 and 0.146,and threshold probabilities of net benefit ranging from 10％to 97％and 12％to 62％respectively.The RF prediction model exhibited superior discrimination,calibration,and clinical u-tility.The RF prediction model demonstrated that days of combined use of meropenem and vancomycin,GCS score,intestinal colonization,and hospitalization history were important predictors for CRO infections.CONCLUSION The prediction model for CRO infections in neurosurgical ICU patients established based on random forest algorithm has good predictive performance,and can be intervened with preventive and control measures for important predictive factors.

The efficacy of preoperative neoadjuvant chemoradiotherapy(nCRT)in locally advanced rectal cancer(LARC)is predicted using radiomic features of the target areas in radiotherapy for rectal cancer and an interpretable machine learning model.The clinical data are collected from 290 LARC patients who are divided into effective and ineffective groups based on tumor regression grade.The extracted radiomic features and clinicopathological data are used to develop prediction models.The optimal model is determined based on AUC performance evaluation,and the explanatory analysis is conducted using nomogram and decision curve.A total of 223 patients are included in the study,with 48 in the effective group.There are 156 patients in the training set(34 in the effective group)and 67 patients in the validation set(14 in the effective group).The nomogram model shows the best performance,with AUC of 0.858 in the training set and 0.844 in internal test set,and decision curve analysis demonstrated its superior net clinical benefit across most threshold ranges than other models.Combining radiomics and clinical variables,the nomogram can effectively predict nCRT outcomes and support clinical decision-making.

Objective:To evaluate the effectiveness of entrustable professional activities (EPAs) in the general practice internship of undergraduate clinical medicine students, identify issues that need improvement in the internship, and enhance medical students' competence.Methods:A total of 75 students in the five-year (English class) clinical medicine program enrolled in 2018 and 2019 who participated in general practice internship in Renji Hospital affiliated to Shanghai Jiao Tong University School of Medicine from October 2021 to October 2023 were selected as study subjects. The design of core EPAs was adopted to assess the correlation among different EPA dimensions and to analyze the qualified rates.Results:The evaluation of EPAs showed that EPA2 (practicing respect, understanding and teamwork) had the highest mean score of 9.33, and EPA10 (chronic disease management and management of key populations) had the lowest mean score of 8.08. A supervision level of 3a and above was used as the criterion for qualification. The supervision levels of the students' EPAs were mostly concentrated at levels 3a and 3b. The highest qualified rate was for EPA2 (practicing respect, understanding and teamwork) at 85.33%, followed by EPA1 (complying with the rules of the profession and demonstrating professionalism) at 80.00% and EPA8 (reviewing information and solving clinical problems) at 72.00%. The lowest qualified rate was for EPA10 (chronic disease management and management of key populations) at 33.33%, followed by EPA4 (analyzing and interpreting test results) at 57.33%.Conclusions:EPAs concretize competency evaluation, which can effectively reflect the "competency-oriented" training objectives encompassing multiple elements such as knowledge, skills, values, and attitudes, while maintaining professional specificity. Undergraduates demonstrated strengths in professionalism and academics, but showed deficiencies in community chronic disease management and management of key populations. These findings suggest the need to strengthen the training in health and social care to better align with the competencies required during standardized residency training.

Objective To design melatonin(Mel)-based nanomedicines(Mel-NMs)and evaluate their therapeutic effects on myocardial ischemia-reperfusion injury in mice.Methods Melatonin self-assembled peptides(Mel-NMs)were synthesized and their structure was characterized by transmission electron microscopy.Mice were divided randomly into five groups:Sham,Model,Mel,NMs,and Mel-NMs,and a myocardial ischemia-reperfusion injury model was established.Mel(5 mg/kg),NMs,or Mel-NMs(containing Mel 5 mg/kg)were administered intraperitoneally 10 minutes prior to reperfusion,and the sham group was treated with an equal volume of solvent.Cardiac function,apoptosis,and oxidative stress markers were assessed 24 hours after reperfusion.Results Transmission electron microscopy revealed that Mel-NMs formed worm-like structures.Treatment with Mel and Mel-NMs significantly improved cardiac function,reduced lactate dehydrogenase and malondialdehyde levels,and enhanced glutathione peroxidase and superoxide dismutase activities(P＜0.05),while also decreasing cardiomyocyte apoptosis(P＜0.05),with greater effects in the Mel-NMs group(P＜0.05).Conclusions Mel-NMs can effectively mitigate myocardial oxidative stress and apoptosis,offering a more potent cardioprotective effect than Mel alone.