Objective: To statistically analyze the association between blood donation intervals and the incidence of adverse reactions to blood donation based on blood donor data from Shenzhen. Methods: Basic data and records of adverse reactions to blood donation among voluntary whole blood donors in Shenzhen from January 2017 to June 2025 were extracted. A total of 795 404 whole blood donations were recorded, including 502 743 from males and 292 661 from females, with 1 088 and 751 cases of adverse reactions, respectively. Analyses were performed using R software, including restricted cubic spline (RCS), binary logistic regression, and generalized estimating equations (GEE) to evaluate the correlation between donation intervals and adverse reactions. Results: A total of 1 839 cases of adverse reactions were recorded, accounting for 0.23% of the total donations. Both binary logistic regression analysis and the generalized estimating equations (GEE) model showed that there was no significant difference in the incidence of adverse reactions between male and female donors with an interval of ≥6 months compared to those with an interval of ≥3 months but<6 months. Furthermore, using the 3-5 month interval group as the reference, the analysis indicated that the incidence of adverse reactions significantly increased in males with a 9-12 month interval, while no statistically significant differences were observed across any of the female subgroups. Conclusion: There was no significant correlation between adverse reactions to blood donation and the donation interval. Compared with a donation interval of ≥6 months, an interval of<6 months does not lead to an increase in the incidence of adverse reactions among male or female donors. The findings of this study may help enhance the willingness of blood donors to participate.

Objective: To statistically analyze the association between blood donor age and the incidence of adverse reactions based on whole blood donor data from Shenzhen. Methods: Data on basic characteristics and records of adverse donation reactions among voluntary whole blood donors in Shenzhen from January 2017 to June 2025 were extracted. A total of 795 404 whole blood donations were recorded, including 502 743 from males and 292 661 from females, with 1 088 and 751 cases of adverse reactions, respectively. Analyses were performed using R software, including restricted cubic spline (RCS) analysis, binary logistic regression, and generalized estimating equations (GEE) to evaluate the correlation between donor age and adverse reactions. Results: A total of 1 839 cases of adverse reactions were recorded, accounting for 0.23% of the total donations. Both binary logistic regression and GEE model revealed that, compared with the≤55 years age group, the incidence of adverse reactions was reduced in both male and female donors in the >55 years age group, with the difference being statistically significant in males. Using the <23 years age group as a reference, the incidence of adverse reactions significantly decreased in both male and female donors across the 23-30, 31-40, 41-50, and 51-60 age groups, with the differences being statistically significant. Conclusion: There is a negative correlation between the rate of adverse donation reactions and age, with the incidence of such reactions among whole blood donors over 55 years old being no higher than that among donors aged 55 years or younger. These findings carry positive significance for safeguarding the donation rights of older donors and meeting clinical blood demand.

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.

Objective To investigate the impact of lower inspiratory peak flow rates on airway peak pressure when using a ventilator to maintain respiratory function during the advanced life support phase of in-hospital cardiopulmonary resuscitation(CPR).Methods A prospective study was conducted,30 patients who underwent CPR for more than 20 minutes admitted to Lishui Municipal Central Hospital between September 2021 and December 2023 were enrolled as the study subjects.Volume controlled ventilation(VCV)with a descending flow waveform was used,while other preset parameters remained unchanged.Airway peak pressure was measured at different peak flow rates(55,50,45,and 40 L/min).The influence of varying flow rates on peak pressure was analyzed.Results During CPR,patients were in a continuous state of chest compressions.When the ventilator parameters were set conventionally,alarms for high airway pressure,low tidal volume(VT),and high respiratory rate often occurred,which affected the effectiveness of ventilatory support.There was a significant variation in airway peak pressure among different patients.As the peak flow rate increased from 40 L/min to 55 L/min,the airway peak pressure gradually increased.During the process of reducing the peak flow rate,the pulse oxygen saturation(SpO2)of all patients remained stable without significant changes.The 40 L/min group had significantly lower peak pressures than the 50 and 55 L/min groups,whereas the 55 L/min group had significantly higher pressures than all others[cmH2O(1 cmH2O≈0.098 kPa):41.20±9.06 vs.47.90±9.04 and 53.70±7.96,all P<0.05].When comparing patients with peak flow rates of 40 L/min and 50 L/min,as well as 45 L/min and 55 L/min,the average airway peak pressure increased significantly with each 10 L/min increment in inspiratory peak flow rate.However,the SpO2 remained essentially unchanged or slightly increased as the peak flow rate decreased.There were no statistically significant differences in SpO2 among patients at different peak flow rate levels.When the peak flow rate was set at 55,50,45,and 40 L/min,the proportions of patients with airway peak pressure>40 cmH2O were 100.0%,83.3%,63.3%,and 53.3%,respectively.Among them,the proportions of patients with airway peak pressure>50 cmH2O were 66.7%,40.0%,16.6%,and 16.6%,respectively.As the peak flow rate decreased,the proportion of patients with airway peak pressure>40 cmH2O gradually decreased.If the peak flow rate was set at 45 L/min or lower,the number of patients with airway peak pressure>50 cmH2O during CPR was less than 50.0%of the total number of cases.Conclusions During mechanical ventilation in CPR,using volume-controlled ventilation(VCV)mode with a decelerating waveform,improper peak flow rate settings can easily trigger high airway pressure alarms and result in low tidal volume(VT),leading to poor synchrony between the ventilator and the patient.Compared to peak flow rates of 55 L/min and above,selecting an inspiratory peak flow rate of 40 L/min and setting the high-pressure alarm at 50 cmH2O is suitable for the mechanical ventilation needs of most patients and does not affect oxygenation levels.This is a more appropriate choice.

OBJECTIVE T o explore the values of body temperature,white blood cells(WBC),neutrophils(NEUT),platelets(PLT),red blood cell distribution width(RDW),procalcitonin(PCT)and C-reactive procal-citonin(PCT)in early diagnosis of postoperative nosocomial infections in the intensive care unit(ICU)patients undergoing surgical procedures.METHODS The clinical data that were collected from the surgery patients who were hospitalized in ICU of Affiliated Hospital of Nantong University from Mar.2021 to May 2022 were retro-spectively analyzed,and the enrolled patients were divided into the infection group with 45 cases and the non-infection group with 130 case according to the status of nosocomial infections.The highest body temperature and the levels of WBC,NEUT,PLT,RDW,PCT and CRP were observed and compared between the infection group within 48 hours before diagnosis with nosocomial infections and the non-infection group after ICU stay for 48 hours.The values of the single and joint detection of the indexes in prediction of postoperative nosocomial infec-tions in the ICU patients were analyzed.RESULTS The body temperature,WBC,NEUT,RDW,PCT and CRP of the infection group were 38.30(37.80,38.80)℃,14.10(10.90,17.30)× 109/L,12.22(9.32,15.12)×109/L,14.10(12.70,15.50)％,1.20(0.10,2.30)ng/ml and 55.00(40.00,70.00)mg/L,respectively,high er than those of the non-infection group(P＜0.05).CRP,body temperature,PCT,NEUT and WBC showed remarkable diag-nostic effects;the area under the curves(AUCs)of the above indexes were 0.968,0.952,0.939,0.896 and 0.886,respectively.The sensitivity of the joint detection of PCT and CRP was 0.978,with the specificity 0.985 and AUC 0.980;the sensitivity of the joint detection of body temperature,PCT and CRP was 0.978,with the specificity 0.992,AUC 0.991.CONCLUSIONS The ICU patients with postoperative nosocomial infections show high levels of body temperature,WBC,NEUT,PCT and CRP.The body temperature,PCT and CRP have high sensitivity and specificity,showing certain values in prediction of postoperative nosocomial infection in the ICU pa-tients;the joint detection of the indexes has higher diagnostic efficiency.

Objective To compare the effect of immediately wearing different running shoes and foot-strike patterns on the in vivo Achilles tendon(AT)length and loading of habitual rearfoot striking(RFS)runners.Methods Eleven male running enthusiasts were recruited(age:33.7±8.7 years old,running experience:5.3±2.3 years).They were randomly assigned to wear cushioned running shoes or minimalist shoes,and run at 10 km/h on a Bertec 3-D force platform with forefoot striking(FFS)and RFS,respectively.The ultrasound imaging probe was fixed at the junction of the AT and the me-dial head of the gastrocnemius muscle with an elastic bandage,synchronized with the Vicon high-speed infrared motion capture system,which collected and calculated real-time length changes and loading characteristics of the AT in vivo.A 2×2 two-way ANOVA was used to determine the effect of different running shoes(cushioned running shoes vs.minimalist shoes)and foot strike patterns(FFS vs.RFS)on the in vivo AT loading characteristics during running,and the significance level α was set at 0.05.Results There was a significant interaction between footwear type and footstrike patterns on the foot strike angle.Within the same shoe condition(cushioned or minimalist),foot strike angle(FSA)was significantly greater during RFS than during FFS(P<0.05).Moreover,during RFS,FSA was significantly greater in cushioned shoes than in minimalist shoes(P<0.05).In addition,under acute manipulations of footwear and strike pattern,the instantaneous AT loading rate also exhibited a signifi-cant footwear and foot strike patterns interaction(P<0.05).The instantaneous AT loading rate was sig-nificantly greater when immediately wearing minimalist shoes with RFS than when wearing cushioned running shoes with RFS,as well as significantly greater when immediately wearing cushioned running shoes with FFS than when running with RFS(P<0.05).In addition,there was no interaction effect for the other parameters,except the significant group or time main effects(P<0.05).The peak AT force,average AT loading rate,AT impulse,peak AT stress,peak AT length change,and AT work during FFS were significantly greater than those during RFS(P<0.05).What's more,the peak AT force when immediately wearing minimalist shoes was significantly greater than that when wearing cushioned run-ning shoes(P<0.05).Conclusion It is suggested that immediately wearing minimalist shoes and/or transi-tioning to FFS could provide higher tendon loading intensity,which might improve the morphology and mechanical properties of the AT.However,the increased AT loading rate also indicated that if RFS was maintained while running in minimalist shoes,the reduced cushioning could have led to a greater risk of injury without an appropriate adaptation process.

Metastasis is the leading cause of death from cutaneous melanoma. Identifying metastasis-related targets and developing corresponding therapeutic strategies are major areas of focus. While functional genomics strategies provide powerful tools for target discovery, investigations at the protein level can directly decode the bioactive epitopes on functional proteins. Aptamers present a promising avenue as they can explore membrane proteomes and have the potential to interfere with cell function. Herein, we developed a target and epitope discovery platform, termed functional aptamer evolution-enabled target identification (FAETI), by integrating affinity aptamer acquisition with phenotype screening and target protein identification. Utilizing the aptamer XH3C, which was screened for its migration-inhibitory function, we identified the Chondroitin Sulfate Proteoglycan 4 (CSPG4), as a potential target involved in melanoma migration. Further evidence demonstrated that XH3C induces cytoskeletal rearrangement by blocking the interaction between the bioactive epitope of CSPG4 and integrin α4. Taken together, our study demonstrates the robustness of aptamer-based molecular tools for target and epitope discovery. Additionally, XH3C is an affinity and functional molecule that selectively binds to a unique epitope on CSPG4, enabling the development of innovative therapeutic strategies.

Objective To investigate the effectiveness of continuous improvement projects based on FOCUS-PDCA on the pathogen sample submission rate before antimicrobial therapy for inpatients.Methods FOCUS-PDCA was used to improve the pathogen sample submission rate in Affiliated Hospital of Nantong University from Jun.to Jul.2023.The inpatients from Jan.to May 2023(before improvement)were enrolled as control group,and the inpatients from Aug.to Dec.2023(after improvement)were enrolled as improvement group.The utilization rate of antibiotics,the submission rate of pathogen samples,the submission rate of clinical microbial samples and the detection rate of multidrug-resistant organisms were compared between the 2 groups.Results The utilization rate of therapeutic antimicrobial agents(32.18％vs 32.93％,P=0.003)and antimicrobial consumption intensity(39.99 defined daily dose[DDD]/100 patient-days vs 44.19 DDD/100 patient-days)in the improvement group were significantly lower than those in the control group.The pathogen sample submission rates before antimicrobial therapy and key antimicrobial combination therapy in the improvement group were significantly higher than those in the control group(52.01％vs 23.64％,87.74％vs 77.71％;both P＜0.001).The qualified rate of microbial specimens in the improvement group was significantly higher than that in the control group(88.77％vs 80.11％,P＜0.001).The detection rates of multidrug-resistant organisms and carbapenem-resistant Klebella pneumoniae in the improvement group were significantly lower than those in the control group(40.45％vs 48.42％,29.65％vs 43.17％;both P＜0.001).Conclusion The continuous improvement projects based on FOCUS-PDCA can improve the pathogen sample submission rate,reduce the detection rate of multidrug-resistant organisms,and promote standardized hospital infection quality management.

Vascular damage plays a significant role in the onset and progression of Alzheimer's disease (AD). However, the precise molecular mechanisms underlying the induction of neuronal injury by vascular damage remain unclear. The present study aimed to examine the impact of fibrinogen (Fg) on tau pathology. The results showed that Fg deposits in the brains of tau P301S transgenic mice interact with tau, enhancing the cytotoxicity of pathological tau aggregates and promoting tau phosphorylation and aggregation. Notably, Fg-modified tau fibrils caused enhanced neuronal apoptosis and synaptic damage compared to unmodified fibrils. Furthermore, intrahippocampal injection of Fg-modified tau fibrils worsened the tau pathology, neuroinflammation, synaptic damage, neuronal apoptosis, and cognitive dysfunction in tau P301S mice compared to controls. The present study provides compelling evidence linking Fg and tau, thereby connecting cerebrovascular damage to tau pathology in AD. Consequently, inhibiting Fg-mediated tau pathology could potentially impede the progression of AD.
Animals ; tau Proteins/metabolism* ; Alzheimer Disease/metabolism* ; Fibrinogen/metabolism* ; Mice, Transgenic ; Mice ; Disease Models, Animal ; Memory Disorders/metabolism* ; Male ; Mice, Inbred C57BL ; Brain/metabolism* ; Hippocampus/metabolism* ; Protein Aggregation, Pathological/metabolism* ; Apoptosis ; Phosphorylation