From June 2002 to December 2023, there were 5 patients with criss-cross hearts admitted to the General Hospital of Northern Theater Command, including 3 males and 2 females, aged 1.5 to 25 years, and weighing 13-49 kg. There were 5 patients of atrioventricular position, 3 patients of right ventricular loop, 2 patients of left ventricular loop, 3 patients of normal atrioventricular connection, and 2 patients of inconsistent connection. Combined intracardiac malformations: 1 patient of simple ventricular septal defect combined with pulmonary hypertension, 1 patient of corrected transposition of the great arteries combined with ventricular septal defect, atrial septal defect, and pulmonary artery stenosis, 1 patient of corrected transposition of the great arteries combined with ventricular septal defect, atrial septal defect, and left atrioventricular valve insufficiency, and 2 patients of right ventricular double outlet combined with ventricular septal defect and pulmonary artery stenosis. The surgical methods included 2 patients of intracardiac anatomical correction, 1 patient of bidirectional vena cava pulmonary artery anastomosis, and 2 patients of total extracardiac ductal cava pulmonary artery anastomosis. All 5 patients were discharged smoothly.

As the brain's resident immune cells, microglia perform crucial functions such as phagocytosis, neuronal network maintenance, and injury restoration by adopting various phenotypes. Dynamic imaging of these phenotypes is essential for accessing brain diseases and therapeutic responses. Although numerous probes are available for imaging pro-inflammatory microglia, no PET tracers have been developed specifically to visualize anti-inflammatory microglia. In this study, we present an ¹⁸F-labeled PET tracer (QTFT) that targets the P2Y₁₂, a receptor highly expressed on anti-inflammatory microglia. [¹⁸F]QTFT exhibited high binding affinity to the P2Y₁₂ (14.43 nmol/L) and superior blood-brain barrier permeability compared to other candidates. Micro-PET imaging in IL-4-induced neuroinflammation models showed higher [¹⁸F]QTFT uptake in lesions compared to the contralateral normal brain tissues. Importantly, this specific uptake could be blocked by QTFT or a P2Y₁₂ antagonist. Furthermore, [¹⁸F]QTFT visualized brain lesions in mouse models of epilepsy, glioma, and aging by targeting the aberrantly expressed P2Y₁₂ in anti-inflammatory microglia. In a pilot clinical study, [¹⁸F]QTFT successfully located epileptic foci, showing enhanced radioactive signals in a patient with epilepsy. Collectively, these studies suggest that [¹⁸F]QTFT could serve as a valuable diagnostic tool for imaging various brain disorders by targeting P2Y₁₂ overexpressed in anti-inflammatory microglia.

Objective To explore the effectiveness of an integrated laparoscopic simulation training course (best essential surgical technique training, BEST) in enhancing laparoscopic peritoneal suturing techniques in surgical residents.Methods As an integrated two-stage program, the BEST course applied basic laparoscopic training system with simple molds in phase Ⅰ training, and then adopted advanced laparoscopic training system, 3D Laparoscope and ex-vivo animal models in phase Ⅱ training. The laparoscopic suturing techniques were practiced in phase Ⅱ training. From August 2021 to July 2024, surgical residents in the second year of the national standardized training program were divided into pilot and control groups based on whether they had undergone the BEST course. Two cases of laparoscopic peritoneal suture were performed by the surgical residents under supervision in the department of gastrointestinal surgery. The operative time, quality of suture, and independent completion rate were compared between the two groups.Results A total of 33 surgical residents (19 in pilot group and 14 in control group) were included in this study, and a total of 66 cases of laparoscopic peritoneal suture were performed (38 in pilot group and 28 in control group). The operative time was significantly shorter in pilot group than that in control group (15.7 min vs. 17.5 min, P=0.025). The quality of suture was significantly better in pilot group compared to control group (P=0.023). In pilot group, all peritoneal sutures were performed by residents independently, whereas in control group, 3 cases (10.7%) were assisted by the supervisor, and the independent completion rate was different significantly (P=0.039).Conclusions The BEST course can help improve surgical residents′ laparoscopic peritoneal suturing techniques and could be promoted in the national standardized training program for surgical residents.

BACKGROUND:Traditional Chinese medicine compound prescription has a long history in the treatment of primary osteoporosis,and the curative effect is definite,but the medication rule and mechanism are not clear. OBJECTIVE:Using the methodology of data mining and network pharmacology,to explore and verify the law of drug use and molecular mechanism of modern traditional Chinese medicine in the treatment of primary osteoporosis. METHODS:The relevant documents included in CNKI,WanFang,VIP and PubMed were used as data sources,and the relevant data were statistically counted and extracted by Microsoft EXCEL2019,IBMSPSS25.0 and other software.The high-frequency drugs obtained from the data statistics were analyzed by association rules analysis and cluster analysis,and the core drug combination of traditional Chinese medicine compound prescription in the treatment of primary osteoporosis was obtained by combining the two results.The therapeutic mechanism of this combination was explained by network pharmacology and verified by molecular docking. RESULTS AND CONCLUSION:Finally,151 articles were included and 207 prescriptions were selected,involving 285 flavors of Chinese herbs.(1)Ten groups of important drug combinations were obtained through the above two analyses,among which the core drug combination with the highest confidence and improvement was"Drynaria-Eucommia-Angelica."The key components of the combination in the treatment of primary osteoporosis were quercetin,kaempferol,naringenin and so on.The core targets were SRC proto-oncogene,phosphoinositide-3-Kinase regulatory subunit 1 and RELA proto-oncogene.The main pathways were cancer signaling pathway,JAK-STAT signaling pathway,VEGF signaling pathway,and NF-κB signaling pathway.(2)The key active components were docked with the core targets,and the two showed a good combination.To conclude,Chinese herbal compound therapy in the treatment of primary osteoporosis can use a variety of active components to exert its efficacy through multiple signal pathways and acting on multiple targets,which can provide a theoretical basis for the research and development of new drugs for the follow-up treatment of primary osteoporosis.

As the comprehensive reform of public hospitals enters a more challenging phase,the conventional extensive operation management no longer fulfills the requirements of high-quality development.This article investigates the current challen-ges in hospital operation management under the DIP payment system,proposes an optimized pathway as well as an outline for practical implementation.The proposed pathway suggests implementing a closed-loop resource allocation strategy integrating budg-et and performance based on disease groups and scores,establishing a cost management mechanism for enhancing resource effi-ciency,and development of a performance distribution system for stimulating self-management motivation among personnel.Addi-tionally,the article suggests the establishment of a Management Information System,aiming to provide practical references for en-hancing operational management capabilities in public hospitals under the DIP payment mode.

Objective Summarize domestic and international community health management models and characteristics for elderly hypertensive patients,providing references for the development of community health management in China.Methods Employ literature research to retrieve relevant documents on community health management models for elderly hypertensive pa-tients,and analyze the characteristics and applicability of different models through summarization and comparative analysis.Results In China,community health management models for elderly hypertensive patients include family doctor contracting serv-ices,Hospital-Community-Home health management model,traditional Chinese medicine health management model,"Internet+"health management model,PDCA cycle model,PRECEDE-PROCEED model,and comprehensive community management model.Foreign studies can be categorized into self-management model,Health Rise model,Community Health2(CH2)model,and community pharmacy management model.Conclusion Conducting hypertension health management for elderly patients at the community level is effective,serving as a widely applicable strategy for chronic disease prevention and control.Continued ex-ploration of the scientific and effective aspects of different management models,improving the efficiency and effectiveness of com-munity health management,can contribute more evidence for the formulation of scientific and effective strategies for chronic dis-ease prevention and control.

Objective To study the clinical and electrophysiological characteristics about ictal facial dystonia of medial temporal lobe epilepsy.Method Data was collected from patients with mesial temporal lobe epilepsy originating from unilateral temporal lobe structures through preoperative evaluation at the Functional Neurology Department of the Second People's Hospital of Shenzhen between July 1,2019 and September 1,2023.All patients did not have seizures for at least 1 year after operation.The ictal symptoms of each patient were analyzed and the patients with ictal facial dystonia were selected and the clinical and electrophysiological characteristics of ictal facial dystonia were summarized.Results Nineteen of 47 patients diagnosed as mesial temporal lobe epilepsy had ictal facial dystonia,of which the electroencephalogram starting at the right side in 11 cases and at the left side in 8 cases.Fifteen patients had the symptom in the first 1/3 period of seizure.Fifteen patients had bilateral symmetrical muscle contraction.Thirteen patients showed with negative expression,5 with neutral expression,and 1 with negative or positive expression in different seizures.None of the patient had the drop of the corners of the mouth.Five patients underwent stereotactic-electroencephalogram(SEEG),including 3 patients with bilateral implantation and 2 patients with unilateral implantation.SEEG showed that the medial temporal structure,insula and orbital lobes were all involved in the onset of ictal facial dystonia.Conclusion The medial temporal lobe epilepsy often present ictal facial dystonia in the first 1/3 period of seizure,with bilaterally symmetrically facial contraction,often accompanied by negative expression,but without drop of the corners of the mouth.The lateralization value of ictal facial dystonia is limited and this symptom involves a wide brain network structure.

Objective To investigate how substrate stiffness regulates the morphology of primary cilia in chondrocytes and to illustrate how Piezo1 mediates the morphology regulation of primary cilia by substrate stiffness.Methods Polydimethylsiloxane(PDMS)curing agent and the main agent(Dow Corning,Beijing,China)were mixed at the ratio of 1∶10(stiff),1∶50(medium stiffness),and 1∶70(soft),respectively,to prepare substrate films with the thickness of 1 mm at different levels of stiffness,including stiff substrate of(2.21±0.12)MPa,medium-stiffness substrate of(54.47±6.06)kPa,and soft substrate of(2.13±0.10)kPa.Chondrocytes were cultured with the substrates of three different levels of stiffness.Then,the cells were treated with Tubastatin A(Tub A)to inhibit histone deacetylase 6(HDAC6),Piezo1 activator Yoda1,and inhibitor GsMTx4,respectively.The effects of HDAC6,Yoda1,and GsMTx4 on chondrocyte morphology and the length of primary cilia were analyzed through immunofluorescence staining.Results The stiff substrate increased the spread area of the chondrocytes.Immunofluorescence assays showed that the cytoskeleton and the nuclear area of the cells on the stiff substrate were significantly increased(P<0.05)and the primary cilia were significantly extended(P<0.05)compared with those on the medium-stiffness and soft substrates.However,the presence rate of primary cilia was not affected.The HDAC6 activity of chondrocytes increased with the decrease in substrate stiffness.When the activity of HDAC6 was inhibited,the cytoskeletal area,the nuclei area,and the primary cilium length were increased more significantly on the stiff substrate(P<0.05).Further testing showed that Piezo1 activator and inhibitor could regulate the activity of HDAC6 in chondrocytes,and that the length of primary cilia was significantly increased after treatment with the activator Yoda1(P<0.05).On the other hand,the length of primary cilia was significantly shortened on the stiff substrate after treatment with the inhibitor GsMTx4(P<0.05).Conclusion Both substrate stiffness and Piezo1 may affect the morphology of chondrocyte primary cilia by regulating HDAC6 activity.

Objective:To investigate the effect of failure mode and effect analysis (FMEA) based catheter information platform in preventing catheter-related bloodstream infection (CRBSI) in intensive care unit to improve the current status of CRBSI.Methods:In this study, a retrospective cohort study was conducted using the purposive sampling method, and 140 patients with indwelling central venous catheters admitted to the ICU of Peking University Shenzhen Hospital from August to December 2021 were set as the control group; the 140 patients with indwelling central venous catheters admitted to the ICU from January to May 2022 were set as the observation group. The control group used electronic forms to record and manage at the bedside after CRBSI cluster nursing measures were given, and the observation group used the catheter information platform based on FMEA to conduct information management on catheter evaluation and maintenance process after CRBSI cluster nursing measures were given. Compared the implementation rate (6 items), implementation time, qualification rate, and incidence of CRBSI in ICU patients between two groups of ICU nurses.Results:The implementation rate of CRBSI cluster nursing measures among ICU nurses in the observation group: strict hand hygiene by nurses was 87%(122/140), maximum aseptic barrier during puncture was 97%(136/140), aseptic operation during catheter maintenance was 91%(128/140), 75% alcohol disinfection of connectors was 84%(118/140), 24-hour change of infusion lines was 95%(133/140), and timely change of patches/dressings was 89%(125/140), they were greater than those in the control group 70%(98/140), 87%(122/140), 71%(100/140), 61%(86/140), 71%(99/140), 69%(96/140), the differences were statistically significant ( χ2 values were 9.67 to 29.07, all P<0.05); the execution time and qualification rate among ICU nurses in the observation group were (9.11 ± 2.83) minutes and 91.4% (128/140), the control group were (10.00 ± 2.84) minutes and 60.7% (85/140), with statistically significant differences ( t value was -2.64, χ2 values was 36.28, all P<0.05). Conclusions:The FMEA-based catheterization information platform can help enhance the efficiency of the implementation of CRBSI clustering nursing measures by ICU nurses, improve the quality of care, and thus reduce the occurrence of CRBSI, and the feasibility of clinical promotion is high.

Objective:To investigate the clinical value of magnetic resonance imaging (MRI) based integrated deep learning model for predicting the times of linear staplers used in double stapling technique for middle-low rectal cancer resection.Methods:The retrospective cohort study was conducted. The clinicopathological data of 263 patients who underwent low anterior resection (LAR) for middle-low rectal cancer in Ruijin Hospital of Shanghai Jiaotong University School of Medicine from January 2018 to December 2022 were collected as training dataset. There were 183 males and 80 females, aged 63(55,68)years. The clinicopathological data of 128 patients with middle-low rectal cancer were collected as validation dataset, including 83 males and 45 females, with age as 65(57,70)years. The training dataset was used to construct the prediction model, and the validation dataset was used to validate the prediction model. Observation indicators: (1) clinicopathological features of patients in the training dataset; (2) influencing factors for ≥3 times using of linear staplers in the operation; (3) prediction model construction; (4) efficiency evaluation of prediction model; (5) validation of prediction model. Measurement data with skewed distribution were represented as M( Q1, Q3), and Mann-Whitney U test was used for comparison between groups. Count data were expressed as absolute numbers, and comparison between groups was conducted using the chi-square test. Wilcoxon rank sum test was used for non-parametric data analysis. Univariate analysis was conducted using the Logistic regression model, and multivariate analysis was conducted using the Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was draw and the area under the curve (AUC) was calculated. The AUC of the ROC curve >0.75 indicated the prediction model as acceptable. Comparison of AUC was conducted using the Delong test. Results:(1) Clinicopathological features of patients in the training dataset. Of the 263 patients, there were 48 cases with linear staplers used in the operation ≥3 times and 215 cases with linear staplers used in the operation ≤2 times. Cases with preoperative serum carcinoembryonic antigen (CEA) >5 μg/L, cases with anastomotic leakage, cases with tumor diameter ≥5 cm were 20, 12, 13 in the 48 cases with linear staplers used ≥3 times in the operation, versus 56, 26, 21 in the 215 cases with linear staplers used ≤2 times in the operation, showing significant differences in the above indicators between them ( χ2=4.66, 5.29, 10.45, P<0.05). (2) Influencing factors for ≥3 times using of linear staplers in the operation. Results of multivariate analysis showed that preoperative serum CEA >5 μg/L and tumor diameter ≥5 cm were independent risk factors for ≥3 times using of linear staplers in the operation ( odds ratio=2.26, 3.39, 95% confidence interval as 1.15-4.43, 1.50-7.65, P<0.05). (3) Prediction model construction. According to the results of multivariate analysis, the clinical prediction model was established as Logit(P)=-2.018+0.814×preoperative serum CEA (>5 μg/L as 1, ≤5 μg/L as 0)+ 1.222×tumor diameter (≥5 cm as 1, <5 cm as 0). The image data segmented by the Mask region convolutional neural network (MASK R-CNN) was input into the three-dimensional convolutional neural network (C3D), and the image prediction model was constructed by training. The image data segmented by the MASK R-CNN and the clinical independent risk factors were input into the C3D, and the integrated prediction model was constructed by training. (4) Efficiency evaluation of prediction model. The sensitivity, specificity and accuracy of the clinical prediction model was 70.0%, 81.0% and 79.4%, respectively, with the Yoden index as 0.51. The sensitivity, specificity and accuracy of the image prediction model was 50.0%, 98.3% and 91.2%, respectively, with the Yoden index as 0.48. The sensitivity, specificity and accuracy of the integrated prediction model was 70.0%, 98.3% and 94.1%, respectively, with the Yoden index as 0.68. The AUC of clinical prediction model, image prediction model and integrated prediction model was 0.72(95% confidence interval as 0.61-0.83), 0.81(95% confidence interval as 0.71-0.91) and 0.88(95% confidence interval as 0.81-0.95), respectively. There were significant differences in the efficacy between the integrated prediction model and the image prediction model or the clinical prediction model ( Z=2.98, 2.48, P<0.05). (5) Validation of prediction model. The three prediction models were externally validated by validation dataset. The sensitivity, specificity and accuracy of the clinical prediction model was 62.5%, 66.1% and 65.6%, respectively, with the Yoden index as 0.29. The sensitivity, specificity and accuracy of the image prediction model was 58.8%, 95.5% and 92.1%, respectively, with the Yoden index as 0.64. The sensitivity, specificity and accuracy of the integrated prediction model was 68.8%, 97.3% and 93.8%, respectively, with the Yoden index as 0.66. The AUC of clinical prediction model, image prediction model and integrated prediction model was 0.65(95% confidence interval as 0.55-0.75), 0.75(95% confidence interval as 0.66-0.84) and 0.84(95% confidence interval as 0.74-0.93), respec-tively. There was significant differences in the efficacy between the clinical prediction model and the integrated prediction model ( Z=3.24, P<0.05). Conclusion:The MRI-based deep-learning model can help predicting the high-risk population with ≥3 times using of linear staplers in resection of middle-low rectal cancer with double stapling technique.