ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5％in all clinical isolates amd 5.7％in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7％(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)％,followed by secretions/pus(16.4±2.3)％and urine(16.0±0.9)％.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9％),and only(7.1±0.8)％of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)％compared to the inpatients in any other departement.Overall,≤ 7.9％of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6％of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7％vs 3.9％).Overall,≤8.1％of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5％of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0％over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.

Objective:To evaluate the relationship between physical activity (PA) and postoperative delirium (POD) in elderly patients undergoing knee or hip arthroplasty.Methods:The study was conducted as part of the Perioperative Neurocognitive Impairment and Biomarkers Lifestyle Cohort, which was a nested case-control study. Medical records from elderly patients undergoing elective knee or hip arthroplasty under spinal-epidural anesthesia at Qingdao Municipal Hospital from August 2022 to August 2023 were collected. The patients were divided into a POD group ( n=89) and a non-POD group ( n=221) based on the occurrence of POD. Peripheral blood samples were collected before surgery, and the cerebrospinal fluid (CSF) 2 ml was extracted after successful puncture under spinal-epidural anesthesia for determination of the concentrations of amyloid-β 42 (Aβ 42), total tau protein (t-tau), and phosphorylated tau protein (p-tau) by enzyme-linked immunosorbent assay. Logistic regression was used to analyze the influencing factors of POD, and the mediation analysis was conducted to examine the mediating role of CSF biomarker in the relationship between PA and POD. Results:Logistic regression analysis showed that the increased concentration of CSF biomarkers Aβ 42 ( OR=0.997, P=0.006), elevated ratio of Aβ 42/t-tau ( OR=0.642, P=0.003), elevated ratio of Aβ 42/p-tau ratio ( OR=0.872, P=0.001) and PA ( OR=0.374, P=0.001) were protective factors for POD, while the elevated concentrations of t-tau ( OR=1.006, P=0.001) and p-tau ( OR=1.030, P=0.011) were risk factors for POD after adjusting for multi-confounders such as hypertension, diabetes, history of drinking, years of education and Mini-Mental State Examination score. The results of the mediation analysis showed that Aβ 42 (20%), t-tau (16%), Aβ 42/t-tau (23%) and Aβ 42/p-tau (28%) played mediating roles in the relationship between PA and POD. Conclusions:PA is a protective factor for POD in elderly patients undergoing knee or hip arthroplasty and CSF biomarkers may play a mediating role in the relationship between PA and POD.

Objective:To evaluate the relationship between the preoperative sleep quality and postoperative delirium (POD) in elderly patients.Methods:Three hundred and eighty-nine patients of either sex, aged 65-90 yr, with American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, who underwent elective knee/hip arthroplasty under combined spinal-epidural anesthesia in Qingdao Municipal Hospital from May 2022 to October 2023, were selected. The Pittsburgh Sleep Quality Index scale was applied at 1 day before surgery to assess the sleep quality within 1 month before surgery. The cerebrospinal fluid (CSF) specimens 2 ml were withdrawn from the subarachnoid space before anesthesia for determination of the concentrations of biomarkers (β-amyloid), total tau protein [t-tau], and phosphorylated tau protein [p-tau]) by enzyme-linked immunosorbent assay. Patients were divided into POD group and non-POD group based on whether delirium occurred within 7 days after surgery. Logistic regression was used to identify the risk factors for POD, and the sensitivity analysis was used to test the stability of the regression models. The mediation model was used to examine whether CSF biomarkers mediated the link between sleep quality and POD. The accuracy of preoperative sleep quality and CSF biomarker concentrations in predicting the occurrence of POD was evaluated by plotting the receiver operating characteristic curve and calculating the area under the curve.Results:Two hundred and seventy-nine patients were finally included, with 33 patients in POD group and 246 patients in non-POD group. The results of logistic regression analysis showed that shorter sleep duration, use of hypnotics, daytime dysfunction within 1 month before surgery, elevated t-tau concentrations in CSF, and elevated p-tau concentrations in CSF were risk factors for POD after adjusting for multiple confounding factors such as age, sex, body mass index, years of education, Mini-Mental State Examination score, and VAS score. The results of mediating effect showed that the effect of use of hypnotics and daytime dysfunction within 1 month before surgery on POD was partially mediated by p-tau concentrations in CSF (>10%). The area under the curve of combination of daytime dysfunction, sleep duration, use of hypnotics within 1 month before surgery, and CSF biomarker concentrations in predicting POD was 0.979.Conclusions:Shortened sleep duration, use of hypnotic, and daytime dysfunction with 1 month before surgery are risk factors for POD in elderly patients, and the association between use of hypnotics and daytime dysfunction and POD is partially mediated by p-tau in CSF.

Objective To construct a simulation model for percutaneous intramuscular septal radiofrequency ablation,and to explore the effects of different excitation voltages and ablation time on ablation areas.Methods By using Mimics software the segmentation and three-dimensional surface reconstruction of the tissue in various regions of the heart were realized based on the preoperative CT data of some patients with obstructive hypertrophic cardiomyopathy,and the reconstructed tissue was transformed into three-dimensional solid models with SolidWorks software,then the models were combined with the electrode needle mechanism established in COMSOL Multiphysics simulation software to form a simulation model for percutaneous intramuscular septal radiofrequency ablation.Electromagnetic and thermal multiphysics field boundary conditions were set with the model developed,and the tissue temperature distribution and the effects of ablation time and excitation voltage on the ablation region were simulated and analyzed.Results Simulation analysis of percutaneous intramuscular septal radiofrequency ablation could be carried out with the model developed,and different excitation voltages and ablation time proved to have significant effects on the effective ablation region.Conclusion The model constructed for percutaneous intramuscular septal radiofrequency ablation lays a foundation for the following research of the effects of multiple factors on ablation outcomes,which is of significance for parameter optimization in actual clinical treatment.[Chinese Medical Equipment Journal,2024,45(4):45-50]

Objective To design a log strategy-based medical imaging equipment monitoring and management system to achieve intelligent monitoring and management based on the Internet of Things.Methods A medical imaging equipment monitoring and management system was developed with B/S architecture and Java language.The system constructed a keyword database of medical imaging equipment logs and log parsing rules by designing a strategy for collecting and analyzing medical imaging equipment log information,which consisted of three functional modules for intelligent analysis of medical imaging equipment abnormal status logs,intelligent reminder of medical imaging equipment monitoring parameter settings and risky failures and operational benefit analysis of medical imaging equipment.Results The system developed realized closed-loop management of medical imaging equipment through intelligent monitoring,shortened the average fault reporting and processing time and improved the efficiency of medical imaging equipment management.Conclusion The system developed implements intelligent mangement and benefit analysis for medical imaging equipment,and provides support for precision managment and decision making in modem hospitals.[Chinese Medical Equipment Journal,2024,45(7):40-45]

Objective:To explore the predictive value of red blood cell distribution width-to-platelet ratio (RPR) on arteriovenous fistula (AVF) dysfunction in maintenance hemodialysis patients with end-stage renal disease (ESRD).Methods:One hundred and five ESRD patients who underwent maintenance hemodialysis with autologous AVF in Jiangdu People′s Hospital from March 2021 to March 2023 were selected. The red blood cell distribution width (RDW) and platelet (PLT) levels were measured before the start of dialysis, and the RPR was calculated. All patients were followed up for 6 months, and AVF dysfunction was recorded and divided into dysfunction group and non dysfunction group. The levels of RDW, PLT, and RPR before dialysis were compared between the two groups. Univariate and multivariate Logistic regression analyses were used to examine the relationship between RDW, PLT, RPR and AVF dysfunction in ESRD maintenance hemodialysis patients. Receiver operating characteristic (ROC) curves were plotted to obtain the area under the curve (AUC) for RDW analysis the predictive value of PLT and RPR for AVF dysfunction in ESRD maintenance hemodialysis patients.Results:Among the 105 patients, 4 were excluded due to interruption of treatment and transfer to another hospital. Among the 101 patients ultimately enrolled, 19 patients experienced AVF dysfunction (dysfunction group), with an incidence rate of 18.81% (19/101); 80 patients did experience AVF dysfunction (non dysfunction group). C-reactive protein, RDW and RPR in the dysfunction group were higher than those in the non dysfunction group: (7.36 ± 1.92) mg/L vs. (5.90 ± 2.40) mg/L, (17.98 ± 2.40)% vs. (14.96 ± 2.29)%, 0.14 ± 0.03 vs. 0.11 ± 0.02, the proportion of diabetes patients was higher than that in the non dysfunction group, while albumin was lower than that in the non dysfunction group: (33.49 ± 2.78) g/L vs. (35.01 ± 3.02) g/L, with a statistical significant difference ( P<0.05). Multivariate Logistic regression analysis showed that C-reactive protein, RDW, RPR were all associated with AVF dysfunction in ESRD maintenance hemodialysis patients ( P<0.05). ROC curve was drawn, and the results showed that the AUC of RDW and RPR predicting AVF dysfunction in ESRD maintenance hemodialysis patients was greater than 0.7, and the AUC of RPR was higher, 0.840 (95% CI 0.752 to 0.928), with an optimal cutoff value of 0.125, specificity of 78.90%, and sensitivity of 73.20%. Conclusions:RDW and RPR are both associated with AVF dysfunction in ESRD maintenance hemodialysis patients, and may have certain predictive value for AVF dysfunction.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

The objective of this study was to analyze the effects on cell viability, apoptosis, and cell cycle of non-small cell lung cancer (NSCLC) A549 cells after intervention with Agrimonia pilosa (AP) and investigate Agrimonia pilosa anti-tumor activity in vitro. Meanwhile, liquid chromatography mass spectrometry (LC-MS) metabolomics technology was used to analyze the changes of cellular metabolites and metabolic pathways. The results of this study will provide a theoretical and experimental basis for investigating the mechanism of the effect of Agrimonia pilosa on non-small cell lung cancer A549 cells. The results showed that the cell nucleus of A549 cells crumpled and apoptosis occurred with the increase of drug concentration. The survival rate of the cells decreased, and the inhibition rate reached 21.5% and 91.74% under the low and high dose conditions, respectively. Lactate dehydrogenase (LDH) content increased (P < 0.05). Metabolomics results showed significant differences in metabolism between groups, thirty-three distinct metabolites including LysoPC(24:0/0:0), LysoPC(17:0/0:0) and PC(O-40:5) were deduced. The pathway enrichment showed that the Agrimonia pilosa plays an anti-tumor role mainly by regulating the metabolism of glycerophosphate and purine in A549 cells, in which the effect on glycerophosphate metabolism pathway was most significant. The results of combined pharmacodynamics suggested that Agrimonia pilosa might induce apoptosis and inhibit the growth of A549 cells by regulating LysoPC(24:0/0:0), LysoPC(17:0/0:0) and PC(O-40:5) metabolites in A549 cells.

Objective:To evaluate the association between preoperative serum β 2-microglobulin (β 2MG) concentrations and postoperative delirium (POD) in elderly patients. Methods:The study selected patients who underwent knee or hip arthroplasty under spinal-epidural anesthesia on an elective basis at Qingdao Municipal Hospital from May 2021 to November 2022. The patients were divided into a POD group and a non-POD group based on the occurrence of POD. The study was conducted as part of the Perioperative Neurocognitive Impairment and Biomarkers Lifestyle Cohort, which was a nested case-control study. The study collected baseline data from two groups of patients and analyzed the differences between them. Logistic regression was used to identify the risk factors for POD. The stability of the regression model was tested using sensitivity analysis. The mediation model was used to examine whether cerebrospinal fluid (CSF) biomarkers mediated the relationship between β 2MG and POD. The receiver operating characteristic curve was drawn and the area under the curve was calculated to evaluate the accuracy of preoperative β 2MG concentrations and CSF biomarker concentration in predicting POD. Results:There were 57 cases in POD group and 449 cases in non-POD group. The results of logistic regression analysis showed that the increased β 2MG and CSF total tau protein (t-tau) concentrations were risk factors for POD, and the increased CSF β-amyloid 42 concentration was a protective factor for POD after adjustment for multiple confounders such as age, gender, education, Mini-Mental State Examination, history of hypertension and infusion volume ( P<0.05). The results of mediation analysis showed that the serum β 2MG′s effect on POD was partly mediated by t-tau (18.1%). The results of the receiver operating characteristic curve showed that the area under the curve of the β 2MG concentration combined with the CSF biomarker concentration was 0.742. Conclusions:Elevated preoperative serum β 2MG concentration is a risk factor for POD in elderly patients, and the relationship may be partly mediated by CSF t-tau.