[Objective] To analyze the influencing factors of repeat blood donor lapsing using a zero-inflated poisson regression model (ZIP). [Methods] The blood donation behavior of 12 498 whole blood donors from 2020 was tracked until December 31, 2023. The factors influencing the frequency of blood donations in a given year was analyzed using ZIP, and donors with 0 blood donation in that year were considered to have lapsed. The changes in relevant influencing factors associated with each blood donation were measured and modeled for analysis. [Results] The zero-inflated part of ZIP showed that the risk of lapsing of male blood donors was 2.24 times that of female blood donors (OR 95% CI:1.864-2.696, P<0.001); the risk of lapsing of the 35-44 age group and over 45 age group was respectively 40% (OR 95% CI:0.455-0.790, P<0.001) and 61%(OR 95% CI:0.268-0.578, P<0.001) lower than that of the under 25 age group; the risk of lapsing for those who have donated blood twice and ≥3 times was respectively 50% (OR 95% CI:0.405-0.609, P<0.001) and 81% (OR 95% CI:0.154-0.225, P<0.001) lower than that of first-time donors; the risk of lapsing of those with junior high or high school education was 1.2 times that of those with a college degree or higher (OR 95% CI:1.033-1.384, P<0.05); the risk of lapsing for the divorced group was 2.02 times that of the married group (OR 95% CI:1.445-2.820, P<0.001); the risk of lapsing for those with an income (Yuan) of 10 000 to 50 000, 50 000 to 100 000 and more than 100 000 was respectively 0.67 (OR 95% CI:0.552-0.818, P<0.001), 0.72 (OR 95% CI:0.591-0.884, P=0.002) and 0.67 (OR 95% CI:0.535-0.834, P<0.001) times that of those with an income (Yuan) of less than 10 000. The results of the Poisson part are consistent with the results of the zero-inflated part in terms of age and education level. [Conclusion] Blood donor lapsing is overall related to factors such as gender, age, donation frequency, education, marital status and family income. It's essential to care for those blood donors prone to lapse to retain more regular blood donors.

ObjectiveBased on analytic hierarchy process（AHP）-criteria importance through intercriteria correlation（CRITIC） hybrid weighting method， grey relational analysis and backpropagation artificial neural network（BP-ANN）， to optimize the water extraction process of Qizhi prescription， so as to provide an experimental basis for optimization of the preparation process of this prescription and the establishment of quality standards. MethodsL₉（3⁴） orthogonal test was employed， and the AHP-CRITIC hybrid weighting method was utilized to determine the weight coefficients of the quality fractions of various components， including astragaloside Ⅳ， polygalaxanthone Ⅲ， calycosin-7-O-β-D-glucoside， tenuifolin， and 3，6′-disinapoylsucrose， as well as the dry extract yield. The comprehensive score of each factor level combination in the orthogonal test were calculated as evaluation indicator to select the optimal extraction process parameters. The effects of extraction times， extraction time， and solvent dosage on the aqueous extraction process of the formula were investigated through intuitive analysis， variance analysis， and grey relational analysis. Meanwhile， a BP-ANN model was established to reverse-predict the optimal extraction process parameters of Qizhi prescription， and the optimized process parameters were validated. ResultsThe weight coefficients of the five index components（astragaloside Ⅳ， tenuifolin， calycosin-7-O-β-D-glucoside， polygalaxanthone Ⅲ， and 3，6′-disinapoylsucrose） and dry extract yield were 25.7%， 20.82%， 16.41%， 12.45%， 15.96% and 8.67%， respectively. The optimized extraction process parameters were extracted 3 times with 8， 6， 6 times the amount of water， each time for 1 h. The network prediction results of BP-ANN test samples were consistent with the orthogonal test results， and the mean square error（MSE） of the predicted and measured values of the network was <1%. The water extraction process of Qizhi prescription analyzed and predicted by relevant mathematical models was stable and feasible， which could effectively improve the extraction efficiency of the active ingredients of Astragali Radix and Polygalae Radix， and the average comprehensive score of the validation test was 90.85 with the relative standard deviation（RSD） of 1.55%. ConclusionThis study establishes a water extraction process for compound Qizhi granules， and the optimized extraction process can effectively improve the extraction efficiency of active ingredients， which provides useful references for the optimization of preparation process and the establishment of quality standards for other clinical experience formulas.

BACKGROUND:Traumatic brain injury is a condition in which the normal function of the brain is disrupted by a bump or impact to the head.It is necessary to find effective treatments and objective targets that can help doctors diagnose the injury status and restore the brain function of patients. OBJECTIVE:To explore the effect of electroacupuncture combined with low-frequency transcranial ultrasound stimulation on the electroencephalographic signals of rats with traumatic brain injury. METHODS:Forty 6-week-old SPF male Sprague-Dawley rats were randomly divided into five groups:sham group,model group,electroacupuncture group,low-frequency transcranial ultrasound stimulation group and combined group(electroacupuncture+low-frequency transcranial ultrasound stimulation),with eight rats in each group.Feeney weight-drop method was used to establish the animal model of traumatic brain injury.In the sham group,the bone window was only opened without impact.Interventions were started at 1 day after modeling.Electroacupuncture in the electroacupuncture group,low-frequency transcranial ultrasound stimulation in the low-frequency transcranial ultrasound stimulation group,and electroacupuncture+low-frequency transcranial ultrasound stimulation in the combined group were performed for days in total.The modified neurological severity scale score for assessing rats'neurological deficits was performed at 8 hours after modeling.The percentage of spontaneous alternation behavior in the Y-maze was measured at 7 days after modeling.Then,the electroencephalographic signals were collected and electroencephalographic data of α,β,θ,and δ waves were extracted by fast Fourier transform,and the value of oscillation amplitude and energy ratio were calculated in α,β,θ,and δ waves,as well as the Lempel-Ziv complexity and sample entropy. RESULTS AND CONCLUSION:Compared with the sham group,the modified neurological severity scale scores in the model group,electroacupuncture group,low-frequency transcranial ultrasound stimulation group and combined group were significantly increased at 8 hours after modeling(P<0.05).Compared with the sham group,the value of oscillation amplitude in δ wave and the value of δ energy ratio were significantly increased in the model group at 7 days after modeling,meanwhile the percentage of spontaneous alternation behavior in Y-maze,and the value of α/β energy ratio,Lempel-Ziv complexity,and sample entropy were significantly decreased(P<0.05).Compared with the model group,the value of oscillation amplitude in α and δ waves was significantly decreased in the combined group(P<0.05),while the value of α/β energy ratio was significantly increased(P<0.05)and the value of δ energy ratio was significantly decreased(P<0.05)in the electroacupuncture group,low-frequency transcranial ultrasound stimulation group and combined group.Compared with the electroacupuncture group and low-frequency transcranial ultrasound stimulation group,the value of δ energy ratio was significantly decreased in the combined group(P<0.05),while the percentage of spontaneous alternation behavior,the value of α/β energy ratio,the Lempel-Ziv complexity,and the sample entropy were significantly increased(P<0.05).To conclude,abnormal electroencephalographic signals can appear in rats with traumatic brain injury,while the electroacupuncture combined with low-frequency transcranial ultrasound stimulation can alleviate the abnormal electroencephalographic signals in rats,which suggests the electroencephalographic frequency domain value and nonlinear features can be used to assess the severity of traumatic brain injury.

Polygonatum sibiricum， as a traditional Chinese medicine with both medicinal and edible properties， has attracted considerable attention due to its functions of nourishing Yin and moistening the lungs， tonifying the spleen and benefiting Qi， and nourishing the kidneys and filling essence. Recent studies have demonstrated that Polygonatum sibiricum plays a significant role in regulating the immune system， effectively enhancing and improving the morphology and function of immune organs， stimulating the proliferation and activation of immune cells， and regulating the secretion and release of immune factors， thereby enhancing the immune function of the body and improving various immune-related diseases. Although a large number of studies have explored the pharmacological effects and mechanisms of P. sibiricum， there has been no systematic review and summary of its immune regulatory activity and mechanisms. Therefore， this article comprehensively reviews the research achievements of P. sibiricum polysaccharides and saponins in the field of immune regulation in recent years， and further sorts out the immune regulatory mechanisms of P. sibiricum in multiple aspects： including increasing the organ index of the spleen and thymus， increasing the number and activity of tumor-suppressive bone marrow hematopoietic stem cells， improving intestinal flora imbalance， regulating the quantity and proportion of T lymphocyte subsets， increasing the level of immunoglobulin， promoting the proliferation of macrophages， enhancing the activity of natural killer cells， increasing the number of white blood cells， and promoting the maturation of dendritic cells， providing a solid theoretical basis and scientific evidence for the research and application of P. sibiricum， and promoting its development and application in traditional Chinese medicine immune enhancers and various functional products.

OBJECTIVE To explore the effects of Lycium barbarum polysaccharides on the proliferation， migration， and immune escape of oral cancer cells by regulating the T cell immunoglobulin and mucin domain-containing protein 3 （TIM3）/ galectin-9 （Gal-9） signaling pathway. METHODS Human oral cancer cells KB and CAL27 were assigned to control group， L. barbarum polysaccharides low-concentration group （200 μg/mL）， L. barbarum polysaccharides high-concentration group （400 μg/mL）， pcDNA-NC group （transfection of pcDNA-NC plasmid）， pcDNA-TIM3 group （transfection of pcDNA-TIM3 plasmid）， high concentration of L. barbarum polysaccharides+pcDNA-NC group （400 μg/mL L. barbarum polysaccharides + transfection of pcDNA-NC plasmid）， and high concentration of L. barbarum polysaccharides+pcDNA-TIM3 group （400 μg/mL L. barbarum polysaccharides + transfection of pcDNA-TIM3 plasmid）. The proliferation， migration and invasion abilities of the cells， T cell killing rate as well as the levels of interferon-γ （IFN-γ） and interleukin-2 （IL-2） in the cell supernatant were measured. mRNA expressions of TIM3 and Gal-9 and protein expressions of indoleamine 2，3-dioxygenase 1 （IDO1）， programmed death-ligand 1 （PD-L1）， TIM3 and Gal-9 in the cells were also determined. RESULTS Compared with control group， the clone formation rate， scratch healing rate， the number of invasive cells， protein expressions of IDO1 and PD-L1， mRNA and protein expressions of TIM3 and Gal-9 in both cell types of L. barbarum polysaccharide low- and high-concentration groups were decreased significantly （P＜0.05）， while the proliferation inhibition rate， T cell killing rate， and the levels of IFN-γ and IL-2 were significantly increased （P＜0.05）. Compared with control group and pcDNA-NC group， the clone formation rate， scratch healing rate， the number of invasive cells， and protein expressions of IDO1 and PD-L1， mRNA and protein expressions of TIM3 and Gal-9 in both cell types of the pcDNA-TIM3 group were all significantly increased （P＜0.05）， while the proliferation inhibition rate， T cell killing rate， IFN-γ and IL-2 levels were significantly decreased （P＜0.05）. Compared with L. barbarum polysaccharides high-concentration group and high concentration of L. barbarum polysaccharides+pcDNA-NC group， the clone formation rate， scratch healing rate， the number of invasive cells， and protein expressions of IDO1 and PD-L1， mRNA and protein expressions of TIM3 and Gal-9 in both cell types of high concentration of L. barbarum polysaccharides+pcDNA-TIM3 group were significantly increased （P＜0.05）， while the proliferation inhibition rate， T cell killing rate， and the levels of IFN-γ and IL-2 were significantly decreased （P＜0.05）. CONCLUSIONS L. barbarum polysaccharides may inhibit the proliferation， migration， and immune escape of oral cancer cells by suppressing TIM3/Gal-9 signaling pathway.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To develop employer's satisfaction evaluation index system towards post competency of residents.Methods:Using Delphi method, the employer's satisfaction evaluation index system towards post competency of residents was formulated through a two-round expert consultation among 19 experts. SPSS 20.0 was used for statistical analysis to calculate the positive coefficient, authority coefficient and coordination degree of experts.Results:For the two rounds of the expert consultation, the questionnaire recovery rate was 95.0% and 100% respectively. The experts' authority coefficient was 0.92, and the system was ultimately determined, including 5 first-level indicators, and 32 secondary indicators. The coefficient of variation (CV) of first-level indicators was 0.00, and the Kendall's W of secondary indicators was 0.663. Conclusions:Employer's satisfaction evaluation index system towards post competency of residents is scientific and reliable, which could provide employer with systematic and objective tool to evaluate residents' post competency.

Objective To investigate the effect of propofol on pyroptosis and A549 cells via the NLRP3/ASC/caspase-1 pathway.Methods Establish a three-dimensional culture model of A549 tumor cells using ultra-low attachment plates,A549 cells were cultured using ultra-low adsorption culture plates to establish a three-dimensional culture model.The CCK-8 method was used to detect the effect of propofol on A549 cell proliferation;the inflammatory factors interleukin(IL)-18,IL-1β,and IL-6 were detected in the A549 lung cancer cell supernatants using enzyme-linked immunosorbent assays;western blotting was used to detect the expression levels of pyrolysis-asso-ciated proteins NLRP3,ASC,caspase-1,GSDMD-N,and IL-1β in A549 lung cancer cells in each group.Results Compared to the blank control group,the survival rate of A549 cells in low,medium,and high concentrations of propofol in each group decreased in turn(P＜0.05);the levels of inflammatory factors IL-18,IL-1β,and IL-6 in the A549 cell supernatant,and scorch related protein NLRP3,ASC,caspase-1,GSDMD-N,and IL-1β increased with the increased propofol concentrations(P＜0.05).Conclusion The three-dimensional culture model of lung cancer A549 cells was successfully established using the ultra-low adsorption culture method.Propofol can promote cell apoptosis and inhibit the pyroptosis of A549 lung cancer cells via activating the NLRP3/ASC/caspase-1 pathway.

Objective:To investigate the value of radiomics signatures based on 18F-FDG PET/CT for predicting molecular classification and Ki-67 expression of breast cancer. Methods:A total of 134 female patients ((55.4±13.3) years) who underwent 18F-FDG PET/CT examination and were diagnosed with breast cancer by pathology in the First Affiliated Hospital of Soochow University from April 2016 to May 2023 were retrospectively enrolled. LIFEx software was used to extract radiomics features and the least absolute shrinkage and selection operator (LASSO) algorithm and independent-sample t test were used to screen potentially meaningful features and calculate the radiomics score, which were considered as radiomics models. Clinical characteristics were selected by supervised logistic regression and clinical models were established. Radiomics features and clinical characteristics were incorporated to logistic regression analysis to establish combined models. ROC curves were drawn and the differences among AUCs were analyzed by Delong test. Results:Among 134 patients, 22 were with triple negative breast cancer (TNBC), 47 were human epidermal growth factor receptor 2 (HER2) over-expression type, 37 were Luminal A type and the rest 28 were Luminal B type. The expression of Ki-67 was high in 85 patients, and was low in the rest 49 patients. The AUCs (95% CI) of the combined models for predicting TNBC, HER2 overexpression type, Luminal A type and Ki-67 expression were 0.843(0.770-0.900), 0.808(0.723-0.876), 0.825(0.711-0.908) and 0.836(0.762-0.894), respectively, which were higher than those of clinical models ( z values: 1.97-3.06, all P<0.05). Conclusion:The predictive model combining radiomics signatures based on 18F-FDG PET/CT and clinical characteristics can well predict the molecular classification and Ki-67 expression level of breast cancer.

Objective:To conduct a scoping review of mobile app-based weight management studies in patients with breast cancer.Methods:The studies related to weight management in patients with breast cancer based on mobile apps in nine Chinese and English databases, including PubMed, Embase, Cochrane, EBSCOhost, Scopus, Sinomed, VIP database, Wanfang Database and China National Knowledge Infrastructure (CNKI), were systematically searched with the terms of “breast cancer” “weight management” “mobile health” and “weight”. The search period was from the establishment of the databases to July 29, 2022. The literature was screened, and data were extracted and summarized based on the Omaha system.Results:A total of 7 literatures were included, all were in English. The mobile apps included in the studies varied with sample sizes, ranging from 10 to 356 cases. Six of the studies involved breast cancer patients who had completed surgery or chemoradiotherapy, and none of the studies involved breast cancer patients undergoing chemotherapy. Forms of intervention included exercise or diet alone and a combination of both exercise and diet, and most studies had shown good intervention effects. According to the Omaha intervention system, the most commonly extracted intervention component was self-management advice, which was offered to patients in six studies, and none of the intervention studies included intervention components related to case management.Conclusions:An intervention for weight management based on mobile apps in breast cancer patients has a good effect and is feasible. However, there is a limited number of related studies, and there is a lack of interventional research specifically targeting patients during chemotherapy, which still needs to be actively carried out.