OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

Objective To investigate the influencing factors associated with the comorbidity of inflammatory bowel disease (IBD) and depression. Methods A case-control study was conducted based on the ^“Healthcare Big Data Platform^” of a tertiary class-A comprehensive hospital in Shandong Province. IBD comorbid with depression was served as the case group and IBD without depression was served as the control group. Propensity score matching (PSM) was performed by matching the case group with the control group in a ratio of 1:2 according to the age and gender of the patients. Conditional logistic regression model was used to explore the influencing factors associated with the comorbidity of IBD and depression. Results A total of 405 patients with IBD were enrolled in this study, including 270 patients without depression and 135 patients comorbid with depression. The results of conditional logistic regression showed that the use of immunosuppressants (OR=2.84, 95% CI: 1.00-8.07) and glucocorticoids (OR=2.05, 95% CI: 1.17-3.58), dementia (OR=5.20, 95% CI:1.59-17.05), cardiovascular disease (OR=3.58, 95% CI: 1.84-6.98) and cancer (OR=2.63, 95% CI: 1.16-5.95) were associated with the comorbidity of depression and IBD. Conclusion Attention should be paid to the use of immunosuppressants and glucocorticoids in the population of IBD comorbid with depression, and the coexistence of physical diseases such as dementia, cardiovascular disease and cancer. Early prevention and targeted treatment measures should be taken for high-risk populations to reduce their risk of depression and improve their quality of life and health.

Objective:To investigate the efficacy of radiotherapy in patients with advanced esophageal cancer receiving first-line chemoimmunotherapy.Methods:A retrospective analysis was conducted on the data of 137 patients with Stage Ⅳ esophageal squamous cell carcinoma (ESCC) treated at our hospital from January 2018 to May 2023. These patients were divided into two groups: a group treated with first-line chemoimmunotherapy combined with radiotherapy (chemoimmunotherapy + radiotherapy group, n = 43) and a group treated with only chemoimmunotherapy ( n = 94). Inverse probability of treatment weighting (IPTW) was applied to balance baseline characteristics between the groups. With overall survival (OS) and progression-free survival (PFS) as study endpoints, the survival data were analyzed using the Kaplan-Meier method, the log-rank test, and the Cox regression method. Results:Before calibration, the chemoimmunotherapy + radiotherapy group significantly outperformed the sole chemoimmunotherapy group in median PFS (13.6 months vs. 7.0 months; HR: 0.501, 95% CI: 0.309-0.811, P = 0.005). After calibration using the COX proportional-hazards model for age, gender, Eastern Cooperative Oncology Group (ECOG) performance status, smoking history, T/N/M stage, and tumor location, the chemoimmunotherapy + radiotherapy group still had significant advantages in PFS (14.7 months vs. 7.0 months; HR: 0.441, 95% CI: 0.261-0.745, P = 0.002). IPTW analysis further confirmed this trend (13.9 months vs. 7.0 months; HR: 0.492, 95% CI: 0.304-0.795, P < 0.001). Specifically, the median OS of the chemoimmunotherapy + radiotherapy group demonstrated significant improvement in all analyses: pre-calibration (29.5 months vs. 18.0 months; HR: 0.507, 95% CI: 0.297-0.867, P = 0.013), after calibration using the Cox model (27.5 months vs. 16.7 months; HR: 0.470, 95% CI: 0.266-0.830, P = 0.009), and after calibration using IPTW (29.5 months vs. 16.9 months; HR: 0.448, 95% CI: 0.262-0.764, P < 0.001). Conclusions:The combination of radiotherapy and first-line chemoimmunotherapy can significantly improve survival outcomes of patients with advanced ESCC, suggesting its potential as a standard treatment strategy.

Objective:To construct a management model of data mining for medical imaging equipment,so as to improve the quality of managing equipment.Methods:A management model of mining data was constructed to manage medical imaging equipment.A total of twenty imaging equipment that were using at Hainan Hospital of the General Hospital of the People's Liberation Army of China from April 2022 to March 2024 were selected.According to different management methods,the conventional management was adopted to manage them during April 2022 to March 2023,and the management model of mining data(model management)was adopted to manage them during April 2023 to March 2024.A self-developed questionnaire was used to conduct a satisfaction survey for imaging physicians,staffs of operating and maintaining equipment,and technicians who using and managing equipment,and patients who received diagnosis and treatment by using equipment.The failure rate and the imaging effect of equipment,the satisfaction scores of the relative staffs who used equipment,and the growth amplitude of operational benefits of equipment between two management methods were compared.Results:A total of 20 failures occurred in imaging equipment that adopted model management.In them,the failure rates of the self-equipment,improper operation and insufficient professional level were respectively 15%,5%and 5%,all of which were lower than those of the conventional management method.The predicted failure rate of model management was 75%,which was higher than that of the conventional management method,and the differences of the above indicators between two methods were statistically significant(x2=6.547,4.392,5.124,6.701,P<0.05).The scores of image clarity,qualification rate,excellent rate,qualification rate of body position,and the total score of imaging effect of adopting model management method were respectively(22.36±2.01),(23.21±1.54),(22.65±1.87),(23.21±1.52)and(91.43±6.77)points,all of which were higher than those of the conventional management method,and the differences were statistically significant(t=10.662,12.727,15.324,16.333,13.742,P<0.05).The satisfaction scores of imaging physicians,staffs of operation and maintenance,technicians and patients who uses management for adopting the model management method were all higher than those of the conventional management method,and the differences were statistically significant(t=13.586,14.249,17.021,11.006,P<0.05).The average values of growth amplitude of cost and benefit of equipment operation of adopting model management method were higher than those of the conventional management method,and the average value of the growth amplitude of the cost of the troubleshooting of model management method was lower than that of the conventional management method,and the differences of them were statistically significant(t=15.057,19.310,18.336,P<0.05).Conclusion:The application of the management model of data mining for medical imaging equipment can provide warning of equipment failures in advance,and reduce the failure rate of equipment,and improve the quality of management and operation of equipment,and enhance the service level of equipment.

Ferroptosis of chondrocytes is a significant contributor to osteoarthritis(OA),for which there is still a lack of safe and effective therapeutic drugs targeting ferroptosis.Here,we screen for anti-ferroptotic drugs in Food and Drug Administration(FDA)-approved drug library via a high-throughput manner in chondrocytes.We identified a group of FDA-approved anti-ferroptotic drugs,among which vitamin K showed the most powerful protective effect.Further study demonstrated that vitamin K effectively inhibited ferroptosis and alleviated the extracellular matrix(ECM)degradation in chondrocytes.Intra-articular injection of vitamin K inhibited ferroptosis and alleviated OA phenotype in destabilization of the medial meniscus(DMM)mouse model.Mechanistically,transcriptome sequencing and knockdown experiments revealed that the anti-ferroptotic effects of vitamin K depended on growth arrest-specific 6(Gas6).Furthermore,exogenous expression of Gas6 was found to inhibit ferroptosis through the AXL receptor tyrosine kinase(AXL)/phosphatidylinositol 3-kinase(PI3K)/AKT serine/threonine kinase(AKT)axis.Together,we demonstrate that vitamin K inhibits ferroptosis and alleviates OA progression via enhancing Gas6 expression and its downstream pathway of AXL/PI3K/AKT axis,indicating vitamin K as well as Gas6 to serve as a potential therapeutic target for OA and other ferroptosis-related diseases.

Ferroptosis of chondrocytes is a significant contributor to osteoarthritis (OA), for which there is still a lack of safe and effective therapeutic drugs targeting ferroptosis. Here, we screen for anti-ferroptotic drugs in Food and Drug Administration (FDA)-approved drug library via a high-throughput manner in chondrocytes. We identified a group of FDA-approved anti-ferroptotic drugs, among which vitamin K showed the most powerful protective effect. Further study demonstrated that vitamin K effectively inhibited ferroptosis and alleviated the extracellular matrix (ECM) degradation in chondrocytes. Intra-articular injection of vitamin K inhibited ferroptosis and alleviated OA phenotype in destabilization of the medial meniscus (DMM) mouse model. Mechanistically, transcriptome sequencing and knockdown experiments revealed that the anti-ferroptotic effects of vitamin K depended on growth arrest-specific 6 (Gas6). Furthermore, exogenous expression of Gas6 was found to inhibit ferroptosis through the AXL receptor tyrosine kinase (AXL)/phosphatidylinositol 3-kinase (PI3K)/AKT serine/threonine kinase (AKT) axis. Together, we demonstrate that vitamin K inhibits ferroptosis and alleviates OA progression via enhancing Gas6 expression and its downstream pathway of AXL/PI3K/AKT axis, indicating vitamin K as well as Gas6 to serve as a potential therapeutic target for OA and other ferroptosis-related diseases.

Objective:To explore an evaluation method for the operational status of tertiary public hospitals, identify strengths and weaknesses in hospital operations, and provide decision-making support for hospital managers.Methods:In 2023, an evaluation index system for the operation of tertiary public hospitals was constructed based on literature analysis and the Delphi method. The combined weights of the evaluation indexes were determined using the cooperative game theory method. An evaluation model for hospital operational status based on the extensible cloud model was established, with the determination of evaluation index thresholds and standards based on the operational data of a tertiary public hospital in Liaoning Province from 2020 to 2022. The operational status of the hospital was then comprehensively evaluated using the evaluation model based on the hospital′s operational data from 2023.Results:The constructed evaluation index system for the operation of tertiary public hospitals included five dimensions and 14 indicators: financial health, service efficiency, medical quality, satisfaction, and sustainable development. The indicators with higher weight values were net cash flow (0.135), average appointment rate for outpatient patients (0.088), and budget savings from government procurement (0.087). The overall operational status evaluation score of the sample hospital was 4.48, with an evaluation grade of level V. The scores for the dimensions of financial health, medical quality, and sustainable development were 4.99, 4.74, and 5.00, respectively, all reaching level V. The scores for service efficiency and satisfaction were 4.00 and 3.70, respectively, both at level Ⅳ.Conclusions:The evaluation index system and the determined weights constructed in this study were reasonable to a certain extent. The hospital operational status evaluation model based on the extensible cloud model can objectively reflect the operational status of the hospital, and the evaluation results can provide decision-making support for managers.

Objective:To investigate the risk factors for mortality in neonates with necrotizing enterocolitis (NEC).Methods:This retrospective cohort study included patients diagnosed with NEC at stage Ⅱ-Ⅲ (Bell's criteria) and admitted to the Neonatology Department of Guangzhou Women and Children's Medical Center Affiliated to Guangzhou Medical University from January 2017 to December 2022. According to the outcomes, these patients were divided into the mortality and survival groups. Perinatal conditions, clinical manifestations, disease status during hospitalization, and blood routine parameters at different time points after birth were compared between the two groups to analyze the risk factors for mortality of NEC. Statistical analysis was performed using independent-sample t-test, Mann-Whitney U test, Chi-square test (or Fisher's exact test), and multivariate logistic regression analysis. Results:(1) A total of 118 NEC cases were included, with 100 in the survival group and 18 in the mortality group. (2) The gestational age and birth weight were significantly lower in the mortality group than in the survival group [(28.9±4.2) weeks vs. (33.7±3.9) weeks, t=4.78; 940 g (685-1 275 g) vs. 1 830 g (1 352-2 368 g), Z=4.18; both P<0.05]. The incidence of neonatal asphyxia was higher in the mortality group [9/18 vs. 18% (18/100), χ2=7.13, P<0.05]. (3) Compared with the survival group, the mortality group had higher proportions of patients who were at NEC stage Ⅲ, accepted surgery, were treated with vasoactive drugs, had undergone invasive mechanical ventilation, or had metabolic acidosis, hyperlactatemia, shock, or hematochezia [17/18 vs. 24% (24/100), χ2=33.39; 17/18 vs. 31% (31/100), χ2=22.88; 16/18 vs. 22% (22/100), χ2=31.26; 16/18 vs. 39% (39/100), χ2=15.26; 18/18 vs. 28% (28/100), χ2=30.29; 16/18 vs. 20% (20/100), χ2=34.15; 17/18 vs. 21% (21/100), χ2=37.69; 9/18 vs. 82% (82/100), χ2=7.13; all P<0.05]. (4) The proportions of patients who developed late-onset sepsis, hemodynamically- significant patent ductus arteriosus, respiratory distress syndrome, or pulmonary hemorrhage were significantly higher in the mortality group than in the survival group [15/18 vs. 33% (33/100), χ2=16.01; 9/18 vs. 21% (21/100), χ2=5.32; 15/18 vs. 39% (39/100), χ2=12.08; 7/18 vs. 7% (7/100), χ2=11.94; all P<0.05]. (5) Within 24 h of birth, the levels of red blood cells and platelets were lower in the mortality group than in the survival group [4.1×1012/L (3.8×10 12/L-4.6×10 12/L) vs. 4.6×10 12/L (4.0×10 12/L-4.9×10 12/L), Z=2.04; (199.9±68.6)×10 9/L vs. (239.8±72.6)×10 9/L, t=2.16; both P<0.05]; at 6-8 d after birth, the levels of red blood cells, hemoglobin (Hb) and hematocrit (HCT) were lower in the mortality group than in the survival group [(3.2±0.5)×10 12/L vs. (3.9±0.8)×10 12/L, t=3.30; (111.2±19.2) vs. (138.1±28.3) g/L, t=3.51; (33.0±5.4)% vs. (40.9±8.1)%, t=3.61; all P<0.05]; at the diagnosis of NEC, red blood cell count, Hb level, HCT, and platelet count were lower in the mortality group than in the survival group [(3.3±1.0)×10 12/L vs. (3.8±0.8)×10 12/L, t=2.47; (102.8±28.8) vs. (124.4±26.3) g/L, t=3.59; 31.0% (25.9%-38.4%) vs. 37.2% (31.5%-43.7%), Z=2.62; 87.0×10 9/L (50.2×10 9/L-157.0×10 9/L) vs. 228.0×10 9/L (130.0×10 9/L-414.7×10 9/L), Z=3.78; all P<0.05], while mean platelet volume (MPV), platelet distribution width, and the differences in hemoglobin (ΔHb) and hematocrit (ΔHCT) between the first 24 h after birth and 6-8 d after birth were significantly higher in the mortality group than in the survival group [13.1 fl (11.4-13.6 fl) vs. 11.6 fl (10.7-12.4 fl), Z=3.26; 19.6% (13.9%-25.2%) vs. 14.8% (12.0%-18.6%), Z=2.76; 35.5 g/L (28.3-57.3 g/L) vs. 27.0 g/L (8.0-42.5 g/L), Z=2.20;11.5% (9.4%-16.3%) vs. 6.3% (2.2%-11.2%), Z=2.85; all P<0.05]. (6) Late-onset sepsis ( OR=5.568, 95% CI: 1.201-25.816), hyperlactatemia ( OR=6.702, 95% CI: 1.193-37.651), shock ( OR=10.616, 95% CI: 1.157-97.406) and MPV elevation at the diagnosis of NEC ( OR=2.769, 95% CI: 1.468-5.223) were independent risk factors, while gestational age ( OR=0.836, 95% CI: 0.708-0.986), and HCT at 6-8 d after birth ( OR=0.848, 95% CI: 0.759-0.947) were protecting fctors for death in NEC. Conclusions:Preterm infants with smaller gestational age are more prone to mortality of NEC. Early identification and management of late-onset sepsis, shock, and hyperlactatemia may reduce the risk of mortality in NEC.

Objective:To explore the dual mediating effects of health belief and depression among health knowledge, social support, and health behaviors based on the capacity, opportunity, motivation-behavior (COM-B) model, and analyze the influencing factors of health behaviors in patients with ischemic stroke.Methods:This multi-center cluster sampling research recruited ischemic stroke patients ( n=1 696) who were hospitalized in neurology departments of five tertiary hospitals in Henan Province from October 2023 to October 2024. A cross-sectional investigation was conducted using the general information questionnaire, social support rating scale (SSRS), stroke prevention knowledge questionnaire(SPKQ), short form health belief model scale(SF-HBMS), health promoting lifestyle profile-Ⅱ (HPLP-Ⅱ), and patient health questionnaire-9(PHQ-9) to ultimately reveal the pathways and effect sizes among variables. Partial correlation analysis and multiple linear stepwise regression analysis were conducted to examine the relationships among social support, health knowledge, health belief, health behaviors, and depression in stroke patients by SPSS 26.0 software. Structural equation modeling was constructed using AMOS 28.0 software, and the mediating effect was tested using the Bootstrap method. Results:The scores of social support, health knowledge, health belief, and health behaviors among ischemic stroke patients were (37.46±9.94), (26.56±6.84), (75.62±12.62) and (130.79±26.27), respectively. The score of depression was 5.00 (2.00, 8.00). Health behaviors were positively correlated with health knowledge, social support, and health belief( r=0.333, 0.246, 0.267, all P<0.05), while negatively correlated with depression ( r=-0.146, P<0.05). Multiple linear stepwise regression analysis showed that health knowledge, social support, health belief, and depression were all influencing factors of health behaviors in ischemic stroke patients (all P<0.05). Health belief (effect value=0.068, 95% CI=0.048-0.093) and depression (effect value=0.009, 95% CI=0.003-0.018) both played partial mediating roles between health knowledge and health behaviors, accounting for 17.3%(0.077/0.446) of the total effect. Meanwhile, health belief (effect value=0.045, 95% CI=0.029-0.063) and depression (effect value=0.016, 95% CI=0.008-0.027) both played partial mediating roles between social support and health behaviors, accounting for 26.5%(0.061/0.230) of the total effect. Conclusion:Health knowledge and social support can not only directly influence health behaviors but also indirectly affect them through health belief and depression in patients with ischemic stroke.

Objective To investigate the correlation between brain iron content and cognitive function in patients with Alzheimer's disease(AD),and to assess the diagnostic value of iron deposition in AD using quantitative susceptibility mapping(QSM)technology.Methods Forty-three patients with AD who visited the Second Affiliated Hospital of Xinjiang Medical University between January 2024 and December 2024,and 42 healthy controls matched for gender and age were enrolled in the study.Comprehensive clinical data were collected from all participants.All subjects underwent brain MRI scans using a Philips Ingenia CX 3.0T magnetic resonance imaging system,including both QSM and conventional cranial MRI sequences.The acquired QSM images were post-processed and normalized using the STISuite software package,and the iron content in predefined regions of interest was quantified using ITK-SNAP.All participants also underwent neuropsychological assessments.Differences in regional brain iron content between AD patients and healthy controls were analyzed and compared.Spearman's correlation coefficient was calculated to evaluate the relationship between iron levels in the frontal cortex,basal ganglia,and hippocampus and cognitive performance.Receiver operating characteristic(ROC)curves were constructed to assess the diagnostic accuracy of iron deposition in differentiating AD patients from healthy controls.Results(1)Compared with the control group,the magnetic susceptibility values in the basal ganglia and hippocampus of the AD group showed statistically significant differences(P<0.01),with higher values observed in the AD group.No statistically significant difference was found in the susceptibility values of the frontal cortex between the AD group and the control group(P>0.05).(2)In the AD group,the susceptibility values of the left caudate nucleus and left hippocampus tail were negatively correlated with the MMSE scores(P<0.05).Additionally,the susceptibility values of the left caudate nucleus,left putamen,left hippocampus,and left hippocampus tail were negatively correlated with the MOCA scores(P<0.05).(3)The area under the curve(AUC)for diagnosing AD based on the left caudate nucleus was 0.758(95%CI:0.649-0.867),for the left putamen it was 0.719(95%CI:0.606-0.831),and for the left hippocampus tail it was 0.640(95%CI:0.518-0.763).Conclusions(1)The iron content in certain brain regions of AD patients is elevated compared to that in healthy controls,particularly in the basal ganglia and hippocampus.(2)The iron concentration in the brains of AD patients,especially in the left caudate nucleus,left putamen,left hippocampus,and hippocampal tail,is negatively correlated with cognitive function.Higher iron levels are associated with more severe cognitive impairment,suggesting that iron accumulation may serve as a potential biomarker for assessing disease severity.(3)Iron deposition in the left caudate nucleus and left putamen demonstrates certain diagnostic value for AD and holds promise as an imaging marker for the auxiliary diagnosis of the disease.