OBJECTIVE To explore the correlation between drug consumption index and diagnosis related groups （DRG） overspending cases， and provide a basis for hospitals to optimize the cost structure and strengthen the refined management. METHODS Based on the data of DRG patients enrolled in a third-grade class A hospital from September to November 2023， the multivariate Logistic regression model and restricted cubic spline （RCS） model were used to analyze the correlation of drug consumption index with DRG overspending cases and its threshold effect， respectively. At the same time， rational drug use evaluation was conducted based on the drug consumption index， precise cost control and management were carried out， and the changes in the main pharmaceutical indicators of the whole hospital were analyzed before control （January-June 2023） and after control （January-June 2024）. RESULTS The results of multivariate Logistic regression analysis showed that long hospitalization days， high drug consumption index， transfer to other departments and combined diabetes mellitus were the risk factors for DRG overspending （P＜0.05）. The results of the RCS model showed that the drug consumption index had a non-linear relationship with DRG overspending. When the drug consumption index was ≥0.64， the drug consumption index was positively correlated with the risk of DRG overspending（P＜0.05）. Compared with the same period before the control， medical cost per time， drug cost per time and drug consumption index decreased significantly after the control （P＜0.01）. CONCLUSIONS The drug consumption index is a risk factor for DRG overruns， there is a non-linear relationship and threshold effect between it and DRG overruns. Each hospital can set a reasonable threshold and implement dynamic monitoring and intervention by comprehensively considering the actual drug usage， disease spectrum characteristics， and cost control targets， as well as factors such as medical quality， patient needs， and the payment capacity of medical insurance， which can effectively achieve precise control over drug usage.

A 71-year-old male presented with esophageal cancer and severe aortic valve regurgitation. Treatment strategies for such patients are controversial. Considering the risks of cardiopulmonary bypass and potential esophageal cancer metastasis, we successfully performed transcatheter aortic valve implantation and minimally invasive three-incision thoracolaparoscopy combined with radical resection of esophageal cancer (McKeown) simultaneously in the elderly patient who did not require neoadjuvant treatment. This dual minimally invasive procedure took 6 hours and the patient recovered smoothly without any surgical complications.

ObjectiveTo explore the mechanism and pathway of Gandou Fumu decoction （GDFMD） in the development of liver fibrosis in Wilson's disease （WD）. MethodFirst， 30 TX-j mice were randomly divided into the model group， high-dose， medium-dose， and low-dose GDFMD groups， and penicillamine group， with six mice in each group， and another six wild-type mice were used as the normal group. The high-dose， medium-dose， and low-dose GDFMD groups were intragastrically administered drugs of 13.92， 6.96， 3.48 g·kg^-1. In the penicillamine group， 0.1 g·kg^-1 of penicillamine was given by intragastric administration. The model group and the normal group were given equal volume of normal saline， once a day， for four consecutive weeks. Samples were collected four weeks after gavage， and enzyme-linked immunosorbent assay （ELISA） was used to detect type Ⅲ procollagen peptide （PCⅢ）， collagen type Ⅳ （Col Ⅳ）， hyaluronic acid （HA）， and laminin （LN）. Hematoxylin-eosin （HE）， Masson， and picric acid-Sirus red collagen （Sirus Red） staining were used to observe the histopathological changes of liver fibrosis. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）， immunohistochemistry， and Western blot were used to observe the expressions of α-smooth muscle actin （α-SMA） and collagen type Ⅰ （Col Ⅰ）， which were related to the activation of hepatic stellate cells （HSCs）. The expression of miR-29b-3p was observed by Real-time PCR. The expression of Unc-51-like kinase 1 （ULK1） and its downstream-related factors were observed by Western blot. The downstream genes of miR-29b-3p were verified by the dual luciferase reporter gene detection method. ResultCompared with the normal group， the four items of liver fibrosis （PCⅢ， Col Ⅳ， HA， and LN） in the model group were significantly abnormal （P<0.01）， and the pathology was significantly abnormal. The expression of HSC activation-related indicators including α-SMA and Col Ⅰ， as well as α-SMA mRNA and Col Ⅰ mRNA was up-regulated （P<0.05， P<0.01）， and miR-29b-3p expression was down-regulated （P<0.01）. ULK1， p-ULK1， autophagy-related gene 13 （Atg13）， p-Atg13， Beclin-1， FAK family kinase-interacting protein of 200 kDa （FIP200）， activating molecule in BECN1-regulated autophagy protein 1 （AMBKA1）， and microtubule-associated protein 1 light chain 3Ⅱ/Ⅰ（LC3Ⅱ/Ⅰ） were up-regulated （P<0.05， P<0.01）. p62 protein expression was down-regulated （P<0.01）. Compared with the model group， the four items of liver fibrosis in the high-dose， medium-dose， and low-dose GDFMD groups and the penicillamine group were significantly improve （P<0.01）， and the pathological conditions were improved. The expression of HSC activation-related indicators including α-SMA and Col Ⅰ， as well as α-SMA mRNA and Col Ⅰ mRNA was down-regulated （P<0.05， P<0.01）， and the expression of miR-29b-3p was up-regulated （P<0.01）. ULK1， p-ULK1， Atg13， p-Atg13， Beclin-1， FIP200， AMBKA1， and LC3Ⅱ/Ⅰ were down-regulated （P<0.05， P<0.01）， and p62 protein expression was up-regulated （P<0.01）. The prediction software predicted that there was a binding site between miR-29b-3p and ULK1. The dual-luciferase reporter gene detection method indicated that the luciferase activity of the ULK1-WT plasmid-transfected cell group was reduced when miR-29b-3p mimics were co-cultured （P<0.01）. ConclusionGDFMD can regulate ULK1-mediated autophagy by up-regulating miR-29b-3p and further exert its anti-hepatic fibrosis effect in Wilson's disease.

OBJECTIVE To investigate the current allocation status of automated equipment in pharmacy intravenous admixture services （PIVAS） of medical institutions in China， and to provide reference for understanding the current status and future direction of PIVAS automation construction. METHODS In the form of a questionnaire survey， a questionnaire was distributed to medical institutions in 30 provinces across the country through the “Wenjuanxing” platform to investigate the four aspects of PIVAS， such as the allocation of automated equipment， intelligent intravenous medication dispensing robots， design and development of workflow software and information integration methods for automated equipment， and conduct statistical analysis. RESULTS A total of 761 PIVAS participated in the survey， 373 PIVAS were equipped with automated equipment. Among 373 PIVAS with automated equipment， automatic finished infusion sorting machines and automatic labeling machines were the main equipment， and 93.56% of PIVAS were not equipped with intelligent intravenous medication dispensing robots； 511 PIVAS used workflow software designed and developed by third-party software companies. In the project of information integration for automated equipment， there was not much difference in the proportion of cases where there was no automated equipment， automated equipment directly interfaced with hospital information systems， and automated equipment interfaced with PIVAS software platform. CONCLUSIONS The automated equipment allocation rate of PIVAS in China is relatively low， and there is still a lot of room for development. We should improve the relevant guidelines for automated equipment as soon as possible， promote standardized and reasonable equipment research and development， and enable PIVAS to more efficiently complete intravenous drug dispensing， in order to provide more dengrm3@mail.sysu.edu.cn comprehensive pharmaceutical services.

Objective:To test the validity and reliability of the Chinese version of the Pre-sleep Arousal Scale(PSAS)in patients with brief insomnia disorder(BID).Methods:Totally 170 patients with BID and 150 normal sleepers(NS)were recruited.All participants were assessed with the PSAS,Hospital Anxiety and Depression Scale(HADS)and Insomnia Severity Index(ISI).After 3 months,72 patients with BID were retested with the PSAS,HADS and ISI.Results:The PSAS scores of BID group were characteristic of a normal distribution.The PSAS total scores were positively correlated with the scores of HADS and ISI(r=0.55,0.40,Ps＜0.01).Two factors of so-matic and cognitive arousal were extracted in PSAS by the exploratory factor analysis and parallel analysis,interval variance value was 55.84％,and the load scores of items were 0.46-0.89.The scores of PSAS and its subscales were higher in the BID group than in the NS group(Ps＜0.001).The best cut-off score for the overall PSAS was found at 32/33 and had high sensitivity(0.72)and specificity(0.81).The Cronbach's α coefficient and the Spearman Brown split reliability were 0.91 and 0.76,respectively,the correlation coefficients between the items and total score ranged from 0.46 to 0.89(Ps＜0.01),and the test-retest reliability was 0.37(P＜0.01).Addi-tionally,rate of change of PSAS scores was positively correlated with the rate of change of HADS scores and ISI scores(Ps＜0.05).Conclusion:The Chinese version of PSAS is a reliable and valid instrument to assess pre-sleep arousal in patients with brief insomnia disorder.

Nasal drug delivery efficiency is highly dependent on the position in which the drug is deposited in the nasal cavity. However, no reliable method is currently available to assess its impact on delivery performance. In this study, a biomimetic nasal model based on three-dimensional (3D) reconstruction and three-dimensional printing (3DP) technology was developed for visualizing the deposition of drug powders in the nasal cavity. The results showed significant differences in cavity area and volume and powder distribution in the anterior part of the biomimetic nasal model of Chinese males and females. The nasal cavity model was modified with dimethicone and validated to be suitable for the deposition test. The experimental device produced the most satisfactory results with five spray times. Furthermore, particle sizes and spray angles were found to significantly affect the experimental device's performance and alter drug distribution, respectively. Additionally, mometasone furoate (MF) nasal spray (NS) distribution patterns were investigated in a goat nasal cavity model and three male goat noses, confirming the in vitro and in vivo correlation. In conclusion, the developed human nasal structure biomimetic device has the potential to be a valuable tool for assessing nasal drug delivery system deposition and distribution.

A major challenge facing photodynamic therapy (PDT) is that the activity of the immune-induced infiltrating CD8⁺ T cells is subject to the regulatory T lymphocytes (Tregs), leaving the tumor at risk of recurrence and metastasis after the initial ablation. To augment the antitumor response and reprogram the immunosuppressive tumor microenvironment (TME), a supramolecular photodynamic nanoparticle (DACss) is constructed by the host-guest interaction between demethylcantharidin-conjugated β-cyclodextrin (DMC-CD) and amantadine-terminated disulfide-conjugated FFVLGGGC peptide with chlorin e6 decoration (Ad-ss-pep-Ce6) to achieve intelligent delivery of photosensitizer and immunomodulator for breast cancer treatment. The acid-labile β-carboxamide bond of DMC-CD is hydrolyzed in response to the acidic TME, resulting in the localized release of DMC and subsequent inhibition of Tregs. The guest molecule Ad-ss-pep-Ce6 can be cleaved by a high level of intracellular GSH, reducing photosensitizer toxicity and increasing photosensitizer retention in the tumor. With a significant increase in the CTL/Treg ratio, the combination of Ce6-based PDT and DMC-mediated immunomodulation adequately achieved spatiotemporal regulation and remodeling of the TME, as well as improved primary tumor and in situ lung metastasis suppression with the aid of PD-1 antibody.

Objective:To analyze the risk factors for asparaginase-associated pancreatitis (AAP) in children with acute lymphoblastic leukemia (ALL) after treatment with pegaspargase and evaluate the predictive value of pediatric sequential organ failure assessment (SOFA) score, pediatric acute pancreatitis severity (PAPS) score, Ranson′s score and pediatric Ministry of Health, Labour and Welfare of Japan (JPN) score for severe AAP.Methods:Cross-sectional study.The clinical data of 328 children with ALL who received pegaspargase treatment in the Department of Pediatric Hematology, Zhujiang Hospital, Southern Medical University from January 2014 to August 2021, as well as their clinical manifestations, laboratory examinations, and imaging examinations were collected.The SOFA score at the time of AAP diagnosis, PAPS score and Ranson′s score at 48 hours after AAP diagnosis, and JPN score at 72 hours after AAP diagnosis were calculated, and their predictive value for severe AAP was evaluated by the receiver operating characteristic (ROC) curve.Results:A total of 6.7%(22/328) of children had AAP, with the median age of 6.62 years.AAP most commonly occurred in the induced remission phase (16/22, 72.7%). Three AAP children were re-exposed to asparaginase, and 2 of them developed a second AAP.Among the 22 AAP children, 16 presented with mild symptoms, and 6 with severe symptoms.The 6 children with severe AAP were all transferred to the Pediatric Intensive Care Unit (PICU). There were no significant differences in gender, white blood cell count at first diagnosis, immunophenotype, risk stratification, and single dose of pegaspargase between the AAP and non-AAP groups.The age at diagnosis of ALL in the AAP group was significantly higher than that in the non-AAP group ( t=2.385, P=0.018). The number of overweight or obese children in the AAP group was also higher than that in the non-AAP group ( χ2=4.507, P=0.034). The areas under the ROC curve of children′s JPN score, SOFA score, Ranson′s score, and PAPS score in predicting severe AAP were 0.919, 0.844, 0.731, and 0.606, respectively.The JPN score ( t=4.174, P=0.001) and the SOFA score ( t=3.181, P=0.005) showed statistically significant differences between mild and severe AAP. Conclusions:AAP is a serious complication in the treatment of ALL with combined pegaspargase and chemotherapy.Older age and overweight or obesity may be the risk factors for AAP.Pediatric JPN and SOFA scores have predictive value for severe AAP.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

BACKGROUND:The traditional view is that proximal fibular fractures do not require fixation.Others and our research suggest that the proximal fibular structure plays an important role in the stability of the posterolateral structure of the knee joint,and its mechanism of action is worth studying. OBJECTIVE:To investigate the biomechanical effects of proximal fibular fractures on various structures of the knee joint in an extended state. METHODS:Finite element method was used to conduct simulated biomechanical experiments.A healthy young male volunteer was selected to establish a finite element model of the knee joint in an extended state using MRI and CT image data,and four proximal fibular shapes were simulated(Model A:intact,Model B:1 cm fracture below the fibular head,Model C:1 cm tip defect fracture from the proximal end of the fibula to the distal end,and Model D:2 cm bone defect from the proximal end of the fibula).A longitudinal concentrated load of 1 500 N was applied to the femoral shaft to compare and analyze the distribution and changing trend of the maximum equivalent stress and maximum first principal stress of each structure of the knee joint in an extended state under four working conditions. RESULTS AND CONCLUSION:(1)In Model A,the maximum equivalent stress in the tibial cartilage and lateral compartment of the meniscus was greater than that in the medial compartment,while the maximum first principal stress in the tibial plateau and medial compartment of the meniscus was greater than that in the lateral compartment.The maximum equivalent stress of the medial condyle of the femoral cartilage was greater than that of the lateral condyle,and the maximum first principal stress of the medial condyle of the femoral cartilage was greater than that of the medial condyle.(2)Compared to Model A,there was no significant difference in the magnitude and distribution of the maximum equivalent stress and maximum first principal stress in the cartilage and meniscus of Model C.(3)Compared to Model A,the maximum equivalent stress increase amplitude of Model B was in the order of medial tibial cartilage(14.9％),medial condyle of femoral cartilage(13.6％),and medial meniscus(6.6％).The maximum first principal stress increase amplitude was the medial meniscus(11.06％),the medial tibial cartilage(8.65％),and the medial condyle of the femoral cartilage(7.46％).The maximum equivalent stress increase amplitude of the ligament was as follows:popliteal arch ligament(33.2％)>anterior cruciate ligament(21.3％)>fibular collateral ligament(17％)>posterior cruciate ligament(14.3％)>anterior lateral collateral ligament(13.2％)>medial collateral ligament(10.1％).(4)Compared to Model A,the maximum equivalent stress increasing trend of Model D followed the medial tibial cartilage(19.5％),femoral cartilage medial condyle(17.9％),and medial meniscus(9.9％).The maximum first principal stress in sequence was the medial meniscus(14.04％),the medial tibial cartilage(13.03％),and the medial condyle of the femoral cartilage(11.37％).The increasing trend of maximum equivalent stress in ligaments was as follows:anterior cruciate ligament(25.2％)>posterior cruciate ligament(18.9％)>medial collateral ligament(18.5％)>anterior lateral collateral ligament(12.7％).(5)It is suggested that when the knee joint is extended,a 1 cm fracture below the fibular head and a 2 cm fibular tip bone defect have a significant impact on the structure of the medial ventricular cartilage,anterior cruciate ligament,and posterior lateral ligament complex.