With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.

ObjectiveTo explore the microbiological characteristics of Staphylococcus epidermidis with hemolytic phenotype （SEHP）. MethodsHemolytic phenotype was detected using the three-point inoculation method， involving a total of 5 strains of SEHP and 5 strains of Staphylococcus epidermidis with non-hemolytic phenotype （SENHP） . Bacterial species were identified using the Microflex LT MALDI-TOF mass spectrometer， and a phylogenetic tree was constructed through 16S rRNA sequence alignment. Growth curves were monitored through the microcultivation assay. Biofilm formation ability was assessed by microplate crystal violet staining. Red blood cell toxicity was detected using the microplate method. Antimicrobial susceptibility testing of SEHP and SENHP against commonly used antibiotics was performed using a VITEK 2 GP639 test kit. Antagonistic effects of SEHP and SENHP against Staphylococcus aureus and Corynebacterium striatum were evaluated by the Oxford cup inhibition assay. ResultsCompared with SENHP， SEHP exhibited a marked decrease in growth rate during the late logarithmic phase， accompanied by significant hemolytic toxicity. Additionally， it showed lower resistance rates to levofloxacin and moxifloxacin， and could antagonize Staphylococcus aureus and Corynebacterium striatum. ConclusionThe microbiological characteristics of SEHP differ from those of SENHP in that SEHP demonstrates antagonistic effects against S. aureus and C. striatum.

ObjectiveTo investigate somatization symptoms in adolescents during frequent earthquakes in Hefei， and to explore their correlation with earthquake experiences. MethodsA cross-sectional survey was used to select 324 adolescents in Hefei as the survey objects. The self-rating scale of somatization symptoms （SSS） and the fatigue intensity scale （FIS） were used to evaluate the somatization symptoms and fatigue degree of middle school students， and multivariate Logistic regression analysis was used to explore the related factors of somatization symptoms and fatigue among middle school students. ResultsA total of 324 adolescents were included， and the overall detection rate of somatization symptoms was 6.5%， and the detection rate of moderate or above fatigue was 20.1%. The results of regression analysis showed that adolescents who were concerned about the earthquake for a longer time （≥1 h） had a higher risk of somatization symptoms （OR=5.430， 95%CI： 1.547-19.058）， and adolescents who received pre-earthquake training had a lower degree of fatigue （OR=0.535， 95%CI： 0.292-0.981） （P<0.05）. ConclusionDuring the frequent earthquakes， adolescents have more somatization symptoms and fatigue. Therefore， it is crucial to enhance health education， reduce the emphasis on event-related reports， and implement earthquake prevention and disaster reduction training to improve the physical and mental health of adolescents.

ObjectiveTo investigate the differences in clinical features and outcomes between patients with hepatic Wilson's disease （WD） presenting with the syndrome of combined phlegm and stasis and the syndrome of dampness-heat internal accumulation. MethodsA retrospective cohort study was conducted by consecutively recruiting patients with hepatic WD from the Encephalopathy Center of the First Affiliated Hospital of Anhui University of Chinese Medicine between January 2022 and August 2025. According to traditional Chinese medicine （TCM） syndrome differentiation， the patients were assigned into a combined phlegm and stasis group and a dampness-heat internal accumulation group. All the patients received standard treatment. Baseline data， laboratory indicators， complications， Model for End-Stage Liver Disease （MELD） score， Child-Turcotte-Pugh （CTP） score， and Chronic Liver Failure-Sequential Organ Failure Assessment （CLIF-SOFA） score were recorded. The clinical features and outcomes of the two groups of patients were compared by t-test， U-test and multivariate logistic regression. ResultsA total of 141 patients with hepatic WD were included. The combined phlegm and stasis group comprised 68 patients with an average age of （28.22±10.47） years， including 43 males and 25 females. The dampness-heat internal accumulation group comprised 73 patients with an average age of （30.22±8.79） years， including 44 males and 29 females. Univariate analysis showed no statistically significant differences in age or gender between the two groups. The combined phlegm and stasis group had lower platelet （PLT）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， creatine （CRE）， total cholesterol （TC）， and triglycerides （TG） levels （P<0.05 or P<0.01） and higher total bilirubin （TBIL） and prothrombin time （PT） （P<0.05） than the dampness-heat internal accumulation group. There were no statistically significant differences in the incidence of hepatic encephalopathy， infection， spontaneous bacterial peritonitis， ascites， or gastrointestinal bleeding between the two groups. The incidence of splenomegaly and the MELD score were higher in the combined phlegm and stasis group （P<0.05）. The CTP and CLIF-SOFA scores were also higher in the combined phlegm and stasis group， while these differences were not statistically significant. Eleven patients in the combined phlegm and stasis group and 9 patients in the dampness-heat internal accumulation group developed liver failure. Multivariate logistic regression analysis showed that PT （OR=1.794， 95%CI 1.249-2.576）， TBIL （OR=1.111， 95%CI 1.026-1.203）， ALT （OR=1.053， 95%CI 1.004-1.105）， and TCM syndrome （OR=5.420， 95%CI 1.384-21.227） were independent risk factors for the development of liver failure in hepatic WD. ConclusionCompared with the hepatic WD patients with the syndrome of dampness-heat internal accumulation， those with the syndrome of combined phlegm and stasis exhibit severe liver function impairment and disease conditions. Furthermore， TCM syndrome serves as an independent predictive factor for the occurrence of liver failure in patients with hepatic WD.

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 investigate the incidence and risk factors of open gingival embrasures (OGEs) in the incisor region after treatment with clear aligners in adult non-extraction patients and provide a reference for preventing the occurrence of an open gingival wedge gap in the incisal area after orthodontic treatment. Methods: This study has been reviewed and approved by the institutional medical ethics committee, and informed consent was obtained from the patients. A total of 125 adult patients with malocclusion who completed clear aligner treatment at Hefei Stomatological Hospital from September 2022 to December 2024 were selected as the study subjects. Based on the presence or absence of OGEs in the incisor region observed in frontal intraoral photographs taken immediately after treatment completion, the patients were divided into a normal group and an OGE group. Clinical data, including intraoral photographs, digital models, and cone-beam computed tomography before and after treatment, were analyzed. Measurements such as incisor overlap and rotation, crown morphology, number of attachments, and interproximal enamel reduction (IPR) were recorded and analyzed. Results: The incidence of OGEs between the maxillary and mandibular central incisors after clear aligner treatment in adult patients was 28.8% and 39.2%, respectively. No statistically significant differences were observed between the normal and OGE groups in terms of sex, Angle's classification, gingival biotype, overbite, overjet, IPR amount, age, treatment duration, tooth axis angulation, or horizontal movement distance of mandibular central incisors before and after treatment (P 0.05). However, significant differences were found in the number of attachments, anteroposterior distance between mesial incisal angles, distance from the interproximal contact point (ICP) to the alveolar bone crest (ABC) (ICP-ABC), horizontal distance between mesial cementoenamel junction (CEJ) of two adjacent central incisors (CEJ-CEJ) and labial alveolar bone thickness (P 0.05). IPR amount and mandibular incisor intrusion were significantly associated with the severity of OGEs (P 0.05). Regression analysis revealed that the number of attachments, anteroposterior distance between mesial incisal angles, ICP-ABC distance, and CEJ-CEJ horizontal distance were significantly correlated with the occurrence of OGEs. Conclusion The incidence of open gingival embrasures in the mandibular central incisor region is relatively high among adult patients treated with clear aligners. The number of attachments (n = 2), the anteroposterior distance between the mesio-incisal angles, the distance from the tooth contact point to the alveolar bone crest, and the horizontal distance between adjacent cementoenamel junctions have been identified as risk factors for the development of open gingival embrasures upon completion of orthodontic treatment.

ObjectiveTo investigate morphological and functional neural network alterations in the primary visual cortex （V1） during early-stage diabetes. Methods32 SPF male C57BL/6J mice were randomly divided into control and diabetic groups（n=16）. Type 1 diabetes was induced by intraperitoneal injection of streptozotocin （STZ）， with model validation via oral glucose tolerance test （OGTT） at week 4. Nissl staining was used to assess morphological changes in brain slices of the two groups. Immunohistochemistry was performed to detect the expression of calcium/calmodulin-dependent protein kinase Ⅱ （CaMKⅡ） and somatostatin （SST） in the V1 area. The co-localization density of SST-positive signals on CaMKⅡ+ neurons was then quantified by ImageJ software. In vivo electrophysiology was used for studying neuronal firing and functional connectivity. ResultsCompared with the control mice， nissl staining showed diabetic mice exhibited significant V1 thinning （P=0.02）， reduced neuronal density （P=0.01）. Immunohistochemistry found decreased SST integral optical density （P=0.02） and elevated mean fluorescence intensity （P=0.01）， and lower SST density on CaMKⅡ+ neurons in the diabetic group than in the control group. Compared with the control mice， in vivo electrophysiology studies indicated that diabetic mice showed reduced action potential peak-to-trough ratio and the absolute values of slope （P<0.01）， as well as impaired functional connectivity， including conditional firing， mutual information， and Granger causality （P<0.000 1）. ConclusionEarly diabetes induces V1 structural atrophy accompanied by SSTergic system disruption and multi-level functional degradation from single neurons to neural networks.

ObjectiveTo investigate the association between endothelin receptor type A gene （EDNRA） and congenital bilateral absence of the vas deferens （CBAVD）. MethodsThis case-control study consisted of 124 subjects with CBAVD and 100 fertile controls.Two single nucleotide polymorphisms （SNPs： rs5335 and rs1801708） in the EDNRA gene were genotyped via PCR， PCR-RFLP analysis， and direct sequencing. ResultsNo significant differences existed between EDNRA polymorphisms and CBAVD phenotype （rs1801708： P=0.220 2， 0.163 2； rs5335： P=0.805 8， 0.818 6）. However， the rs1801708-rs5335 haplotype AG was notably associated with an increased risk of CBAVD （P=0.008 6， OR=2.178， 95% CI： 1.207-3.929）. A significantly protective effect of rs1801708-rs5335 haplotype GG on CBAVD （P=0.038 5， OR= 0.671， 95% CI： 0.460-0.980） was observed. After Bonferroni correction， the result for haplotype A-G remained significant （P =0.008 6<0.012 5）， while haplotype G-G was not significant. ConclusionThe rs1801708-rs5335 AG haplotype of EDNRA is a potential risk factor for CBAVD development in Han Chinese.

Objective: To explore the correlation between adverse childhood experiences (ACEs) and digital self harm behavior among college students, so as to provide scientific evidence for preventing and intervening digital self harm behavior. Methods: A total of 5 917 college students from five provinces (Anhui, Guangdong, Hebei, Jilin, and Sichuan) were selected by using a method combining stratified cluster random sampling with convenient sampling to complete an electronic questionnaire survey, from May to June 2024. The survey was conducted to assesse digital self harm behavior and ten dimensions of ACEs, including peer bullying, emotional abuse, physical abuse, sexual abuse, emotional neglect, physical neglect, adverse family events, adverse school or social events, adverse life experiences, and personal adverse problems. A multivariable Logistic regression model was used to analyze the association between ACEs and digital selfharm among college students. Results: The reporting rate of digital self harm behavior among college students was 11.5%. There were statistically significant differences in the reporting rates of digital self harm behaviors among college students with different household registration location and the numbers of close friends ( χ 2=3.91, 8.09 , both P <0.05). Univariate analyses showed that the prevalence of digital self harm behavior was significantly higher among students who reported any type of ACEs compared with those without such experiences ( χ 2=7.99-27.63, all P <0.01). After controlling for demographic variables, each type of ACE was separately included in multivariable Logistic regression models as an independent variable, and all types of ACEs were significantly associated with digital self harm behavior among college students ( OR =1.27-1.91, all P <0.01). Notably, the OR values for sexual abuse and personal adverse problems were relatively high, being 1.91 and 1.83 respectively. Moreover, the risk of reporting digital self harm increased with the number of types of ACEs ( OR= 1.17 , P <0.01). Conclusions ACEs are related factors for digital self harm behavior among college students. Early psychological intervention should be strengthened, particularly for college students who have experienced sexual abuse and personal adverse problems during childhood.

OBJECTIVE To construct a prediction model for tacrolimus trough concentration based on population pharmacokinetics （PPK） information and machine learning， evaluate its predictive performance in clinical therapeutic drug monitoring （TDM） data， and provide evidence-based support for individualized dose adjustment of tacrolimus after renal transplantation. METHODS A retrospective cohort study design was adopted， and consecutive TDM records of kidney transplant recipients treated in the First Affiliated Hospital of University of Science and Technology of China （Anhui Provincial Hospital） from January to June 2025 were included to construct the final analysis set. Based on 29 input variables including previous TDM concentration， previous concentration/dose （ C / D ） ratio， and individual predicted exposure （IPRE）， 13 commonly used regression algorithm models and 1 weighted ensemble model were systematically compared. The dataset was split into training set and test set in an 80∶20 ratio by patient. Five-fold cross-validation based on patient grouping was performed on the training set， and the model performance was evaluated on the obtained evaluation points using the coefficient of determination （ R 2 ）， mean absolute error （MAE）， root mean square error （RMSE）， Pearson correlation coefficient （Corr） and ±20%/±30% accuracy. The SHapley Additive exPlanations （SHAP） method was used for model interpretability analysis to identify core predictive features. RESULTS A total of 809 consecutive TDM records from 83 kidney transplant recipients were included， with 66 cases in the training set and 17 cases in the test set. The SVR model showed the best performance， with R 2 of 0.649 8， MAE of 1.126 0 ng/mL， RMSE of 1.478 6 ng/mL， Corr of 0.819 1， ±20% accuracy of 59.68%， and ±30% accuracy of 79.03%. The Weighted Ensemble model and Extra Trees model ranked second and third， respectively. SHAP interpretability analysis showed that the top 6 features contributing to the prediction were IPRE， previous TDM concentration， previous C/D ratio， dose-normalized concentration， hematocrit （HCT）， and concentration-dose coefficient （ θ cd ）， among which IPRE was the core predictive feature （SHAP mean value 0.915 4）. CONCLUSIONS The machine learning model incorporating PPK information demonstrates good predictive ability for tacrolimus concentration in the current TDM cohort. SVR is the optimal model， IPRE is the core predictive feature of the model， and a few core PK-derived features （IPRE， dose-normalized concentration， θ cd ） together with clinical features （previous TDM concentration， HCT， etc.） constitute the main information sources for model prediction.