OBJECTIVE To establish a closed-loop management system for the whole-process traceability of outpatient drugs based on internet of things （IoT） and blockchain technology， and evaluate its implementation effects. METHODS A closed-loop management system for the whole-process traceability of outpatient drugs covering the entire drug lifecycle was designed using drug traceability codes integrated with IoT and blockchain technology. System effectiveness was evaluated from three dimensions： work efficiency， medication management quality and data safety by comparing indicators such as the acceptance time of incoming drugs and the number of collected drug traceability codes before the system implementation （October to December 2024） and after the system implementation （January to March 2025）. RESULTS A closed-loop management system for the whole-process traceability of outpatient drugs， centered around the drug traceability code management system， was successfully established. The acceptance time for incoming drugs was shortened from （4.65±0.26） h before implementation to （0.34±0.08） h after implementation （P＜ 0.05）. The number of collected drug traceability codes increased from 419 018 to 1 236 522， and the coverage rate of traceability codes rose from 28.36% to 89.88% （P＜0.05）. The time pharmacists spent on drug expiry management per week decreased from （128.40±19.20） min to （0.56±0.13） min （P＜0.05）， and the dispensing time for a single prescription （excluding a part of injections and repackaged drugs） was reduced from （143.25±17.67） s to （15.24±10.08） s （P＜0.05）. The time for drug return was reduced from 129.90 （122.32， 137.00） s to 104.36 （89.91， 117.33） s（P＜0.05）； the number of drug dispensing errors decreased from 2 cases to 0 cases. After the system was launched， there were no data security incidents in our outpatient pharmacy. CONCLUSIONS The constructed closed-loop management system for the whole-process traceability of outpatient drugs can significantly enhance drug traceability accuracy and drug management quality， improve pharmacist work efficiency， and reduce drug management risks， thus providing a feasible solution for the digital transformation of hospital pharmaceutical services.

Objective To investigate the efficacy of utilizing Kaneka dual lumen microcatheter in combination with anchored balloon in treatment of bifurcation lesions in elderly patients with ra-dial artery 6 F catheter.Methods A retrospective analysis was performed on 168 patients(≥60 years)receiving bifurcation treatment with a 6 F catheter via the radial artery at the Heart Center of our hospital from January 2020 to January 2023.According to application of dual lumen micro-catheters and anchoring balloon technology or not,they were assigned into an anchoring group(81 cases old)and a control group(87 cases).A comparison was made between the two groups in terms of features of coronary artery disease,operation procedure,and MACE.Multivariate logistic regression analysis was employed.Results Lower incidence of dissection,shorter operation time,less X-ray exposure dose,and decreased contrast agent dosage were observed in the anchoring group when compared with the control group(P＜0.05,P＜0.01).There was no statistical differ-ence in the MACE incidence between the two groups(4.9％vs 8.0％,P＞0.05).The side branch dissection and final TIMI grade＜3 of side branch flow were independent risk factors for postop-erative MACE in elderly patients with bifurcation lesions after surgery(P＜0.05,P＜0.01).Conclusion Kaneka dual lumen microcatheter combined with anchored balloon technology via radial artery 6 F catheter has the advantages in effectively shorting operation time,minimizing X-ray exposure,reducing contrast agent usage,and diminishing the incidence of side branch dis-section in treatment of bifurcation lesions in elderly patients undergoing surgical treatment.

Objective:To construct an prediction model based on magnetic resonance imaging (MRI) machine learning algorithm and radiomics and investigate its application value in predicting lymphovascular invasion (LVI) status of rectal cancer without lymph node metastasis.Methods:The retrospective cohort study was conducted. The clinicopathological data of 204 rectal cancer patients without lymph node metastasis who were admitted to Gansu Provincial Hospital from February 2016 to January 2024 were collected. There were 123 males and 81 females, aged (61±7)years. All 204 patients were randomly divided into the training dataset of 163 cases and the testing dataset of 41 cases by a ratio of 8∶2 using the electronic computer randomization method. The training dataset was used to construct the prediction model, and the testing dataset was used to validate the prediction model. The clinical prediction model, radiomics model and joint prediction model were constructed based on the selected clinical and/or imaging features. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and the chi-square test or Fisher exact probability were used for comparison between the groups. Comparison of ordinal data was conducted using the nonparameter rank sum test. The inter-class correlation coefficient (ICC) was used to evaluate the consistency of the radiomics features of the two doctors, and ICC >0.80 was good consistency. Univariate analysis was conducted by corres-ponding statistic methods. Multivariate analysis was conducted by Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC), Delong test, decision curve and clinical impact curve were used to evaluate the diagnostic efficiency and clinical utility of the model. Result:(1) Analysis of factors affecting LVI status of patients. Of the 204 rectal cancer patients without lymph node metastasis, there were 71 cases with positive of LVI and 133 cases with negative of LVI. Results of multivariate analysis showed that gender, platelet (PLT) count and carcinoembryonic antigen (CEA) were independent factors affecting LVI status of rectal cancer without lymph node metastasis in training dataset [ odds ratio=2.405, 25.062, 2.528, 95% confidence interval ( CI) as 1.093-5.291, 2.748-228.604, 1.181-5.410, P<0.05]. (2) Construction of clinical prediction model. The clinical prediction model was conducted based on the results of multivariate analysis including gender, PLT count and CEA. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of clinical prediction model were 0.721 (95% CI as 0.637-0.805), 0.675, 0.632 and 0.698 for the training dataset, and 0.795 (95% CI as 0.644-0.946), 0.805, 1.000 and 0.429 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of clinical prediction model between the training dataset and the testing dataset ( Z=-0.836, P>0.05). (3) Construction of radiomics model. A total of 851 radiomics features were extracted from 204 patients, and seven machine learning algorithms, including logistic regression, support vector machine, Gaussian process, logistic regression-lasso algorithm, linear discriminant analysis, naive Bayes and automatic encoder, were used to construct the prediction model. Eight radiomics features were finally selected from the optimal Gaussian process learning algorithm to construct a radiomics prediction model. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.857 (95% CI as 0.800-0.914), 0.748, 0.947 and 0.642 for the training dataset, and 0.725 (95% CI as 0.571-0.878), 0.634, 1.000 and 0.444 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of radiomics prediction model between the training dataset and the testing dataset ( Z=1.578, P>0.05). (4) Construction of joint prediction model. The joint prediction model was constructed based on the results of multivariate analysis and the radiomics features. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.885 (95% CI as 0.832-0.938), 0.791, 0.912 and 0.726 for the training dataset, and 0.857 (95% CI as 0.731-0.984), 0.854, 0.714 and 0.926 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of joint prediction model between the training dataset and the testing dataset ( Z=0.395, P>0.05). (5) Performance comparison of three prediction models. Results of the Hosmer-Lemeshow goodness-of-fit test showed that all of the clinical prediction model, radiomics prodiction model and joint prediction model having good fitting degree ( χ2=1.464, 12.763, 10.828, P>0.05). Results of Delong test showed that there was no signifi-cant difference in the AUC between the clinical prediction model and the joint prediction model or the radiomics model ( Z=1.146, 0.658, P>0.05), and there was a significant difference in the AUC between the joint prediction model and the radiomics model ( Z=2.001, P<0.05). Results of calibra-tion curve showed a good performance in the joint prediction model. Results of decision curve and clinical impact curve showed that the performance of joint prediction model in predicting LVI status of rectal cancer without lymph node metastasis was superior to the clinical prediction model and the radiomics model. Conclusions:The clinical prediction model is constructed based on gender, PLT count and CEA. The radiomics predictive model is constructed based on 8 selected radiomics features. The joint prediction model is constructed based on the clinical prediction model and the radiomics predictive model. All of the three models can predict the LVI status of rectal cancer with-out lymph node metastasis, and the joint prediction model has a superior predictive performance.

ObjectiveTo investigate the role and mechanism of podoplanin （PDPN） in hepatic stellate cell （HSC） activation and liver fibrosis. MethodsLiver biopsy samples were collected from 75 patients with chronic hepatitis B who attended Department of Infectious Diseases， Putuo Hospital Affiliated to Shanghai University of Traditional Chinese Medicine， for the first time from September 2019 to June 2022， and RT-PCR and immunohistochemistry were used to measure the expression of PDPN in liver tissue of patients in different stages of liver fibrosis. A total of 12 male C57/BL6 mice were randomly divided into control group and model group. The mice in the model group were given intraperitoneal injection of 10% CCl₄， and those in the control group were injected with an equal volume of olive oil， for 6 weeks. HE staining and Sirius Red staining were used to observe liver histopathological changes； primary mouse liver cells were separated to measure the mRNA expression of PDPN in various types of cells； primary mouse HSCs were treated with PDPN protein， followed by treatment with the NF-‍κB inhibitor BAY11-708， to measure the expression of inflammatory factors in HSCs induced by PDPN. The independent-samples t test was used for comparison of normally distributed continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. The Spearman correlation analysis was used to investigate data correlation. ResultsAs for the liver biopsy samples， there was a relatively low mRNA expression level of PDPN in normal liver， and there was a significant increase in the mRNA expression level of PDPN in liver tissue of stage S3 or S4 fibrosis （all P<0.001）. Immunohistochemical staining showed that PDPN was mainly expressed in the fibrous septum and the hepatic sinusoid， and the PDPN-positive area in S4 liver tissue was significantly higher than that in S0 liver tissue （t=8.892， P=0.001）. In normal mice， PDPN was mainly expressed in the hepatic sinusoid， and there was a significant increase in the expression of PDPN in CCl₄ model mice （t=0.95， P<0.001）， mainly in the fibrous septum. RT-PCR showed a significant increase in the mRNA expression of PDPN in the CCl₄ model mice （t=11.25， P=0.002）. Compared with hepatocytes， HSCs， Kupffer cells， and bile duct endothelial cells， hepatic sinusoidal endothelial cells showed a significantly high expression level of PDPN （F=20.56， P<0.001）. Compared with the control group， the primary mouse HSCs treated by PDPN protein for 15 minutes showed significant increases in the mRNA expression levels of the inflammation-related factors TNFα， CCL3， CXCL1， and CXCR1 （all P<0.05）， and there were significant reductions in the levels of these indicators after treatment with BAY11-7082 （all P<0.05）. ConclusionThere is an increase in the expression of PDPN mainly in hepatic sinusoidal endothelial cells during liver fibrosis， and PDPN regulates HSC activation and promotes the progression of liver fibrosis via the NF-κB signaling pathway.

ObjectiveTo investigate the mechanism of action of Xiayuxue decoction in inhibiting nonalcoholic fatty liver disease （NAFLD） induced by high-fat diet in mice by regulating nucleotide binding oligomerization domain like receptor containing pyrin domain protein 6 （NLRP6）. MethodsA total of 15 male C57BL/6 mice were randomly divided into low-fat diet （LFD） group， high-fat diet （HFD） group， and Xiayuxue decoction-HFD group （XYXD group）， with 5 mice in each group. Liver function parameters （alanine aminotransferase ［ALT］ and aspartate aminotransferase ［AST］） and blood lipid metabolic indicators （triglycerides ［TG］ and total cholesterol ［TC］） were measured； HE staining and oil red O staining were performed for liver tissue to observe histomorpholoty and lipid droplet deposition； quantitative real-time PCR was used to measure the expression levels of inflammatory factors （tumor necrosis factor-α ［TNF-α］， interleukin-1β ［IL-1β］， interleukin-18 ［IL-18］， and NLRP6） in liver tissue； Western blot was used to measure the protein expression levels of NLRP6， nuclear factor-kappa B （NF-κB）， and NF-κB p65； immunohistochemistry was used to measure the expression of NLRP6 and CD68. Mouse Raw264.7 cells were treated with palmitic acid （PA）， lipopolysaccharide， and serum containing Xiayuxue decoction to observe inflammation. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the LFD group， the HFD group had significant increases in the serum levels of ALT， AST， TC， and TG （all P<0.05）. Liver histopathological examination showed that the HFD group had marked hepatic steatosis and a signficant increase in NAS score （P<0.05）， and quantitative real-time PCR showed significant increases in the inflammatory factors such as IL1β and IL-18 and a significant reduction in the expression of NLRP6 （all P<0.05）. Immunohistochemistry showed that the expression of NLRP6 showed a similar trend as that of the macrophage marker CD68. Western blot showed that after the downregulation of NLRP6 expression， there was a significant increase in phosphorylated NF-κB p65 （P<0.05）. Compared with the HFD group， Xiayuxue decoction effectively improved liver inflammation， upregulated the expression of NLRP6， and downregulated phosphorylated NF-κB p65 in HFD mice （all P<0.05）. After Raw264.7 cells were treated with PA， NLRP6 was downregulated to promote the progression of inflammation （P<0.05）， and treatment with Xiayuxue decoction could upregulate NLRP6 and inhibit inflammation NF-κB （P<0.05）. ConclusionXiayuxue decoction can effectively improve hepatic steatosis and liver inflammation in a mouse model of NAFLD， possibly by regulating NLRP6/NF-κB to alleviate macrophage activation.

Objective To investigate the expression of lncRNA SENCR in aortic dissection(AD)tissues of AD patients and its effect on and mechanism in the proliferation apoptosis of human vascular smooth muscle cells(HVSMCs).Methods HE staining was done to detect the pathological changes of AD tissues.Fluorescence in situ hybridization(FISH)and RT-qPCR were used to determine the expression of SENCR in the AD tissue and HVSMCs and the expression of SENCR and miR-206 in the tissues,respectively.HVSMCs were cultured and trans-fected with pcDNA3.1-SENCR overexpression plasmids,or pcDNA3.1 blank plasmid.Then cell proliferation and apoptosis were detected by CCK-8 method and Annexin V/PI double staining flow cytometry assay,respectively.Double luciferase report verified the targeting relationship between SENCR and miR-206.Results SENCR was mainly located in the cytoplasm and nucleus of HVSMCs.Compared with the normal tissue,the expression of SENCR in the AD tissues was down-regulated(P＜0.01),but the expression of miR-206 was up-regulated(P＜0.01).Overexpressed SENCR decreased the cell proliferation of HVSMCs(P＜0.01),but significantly increased the cell apoptosis of HVSMCs(P＜0.01).SENCR could target and negatively regulate miR-206.Conclusion The expression of SENCR is down-regulated in AD tissues,and overexpressed SENCR may inhibit the proliferation and promote the apoptosis of HVSMCs by targeting down-regulated miR-206.

Objective To explore the difference in efficacy of metoprolol versus ivabradine in the treatment of postural orthostatic tachycardia syndrome(POTS)in the elderly after COVID-19 infection.Methods A total of 110 patients diagnosed with POTS at our department from Decem-ber 1,2022 to January 31,2023 were included.According to their drug regimen,they were divided into metoprolol group(62 patients)and ivabradine group(48 patients).On the 28th day of out-patient follow-up,the resting heart rate,heart rate of 10 min of standing,symptom disappearance rate,hospitalization rate,and mortality rate were compared between the two groups.Results On the 28th day of treatment,the resting heart rate and postural heart rate for 10 min were decreased in both groups when compared with the levels at initial diagnosis(P＜0.01).And there were no significant differences in the two types of heart rate between the two groups on the 28th day(71.0±7.0 vs 72.1±7.0,P=0.401;76.5±7.2 vs 77.4±7.6,P=0.573).No obvious differences were observed between the two groups in symptom disappearance rate,hospitalization rate,or mortality rate(88.7％vs 89.6％,3.2％vs2.1％,0％vs 0％,P＞0.05).Conclusion Metoprolol and ivabradine can effectively treat POTS in the elderly patients after COVID-19 infection.

As a practical carrier for promoting the tiered diagnosis and treatment model, the medical consor-tium is of great significance for balancing medical resources and boosting medical service efficiency. The construction of medical consortiums not only improves the accessibility of high-quality medical resources for patients, but also enhances the diagnostic and treatment level of member units. Meanwhile, it provides space for the leading hospital to adjust the structure of diseases and improve the level of discipline construction. As the core of medical insurance payment reform, DRG, through indicators such as the case mix index(CMI) and the number of diagnosis related group (DRG), provides objective and quantified data support for case management and disease structure optimization, thus effectively guiding the rational allocation of medical resources and the adjustmentof diseases and surgical types within the medical consortium. Comprehensive use of DRG evaluation indicators can construct a multidimensional medical consortium construction evaluation system, provides a clear direction for medical consortium cooperation, thereby promoting the overall healthy and sustainable development of medical consortiums and achieving a win-win situation for all parties involved. This paper, based on the "1+5+1" medical consortium cooperation model centered around Peking Union Medical College Hospital, utilizes DRG indicators to analyze the benefits for patients, member hospitals, and the leading hospital during the medical consortium construction process, with the hope of providing reference for the construction of a medical consortium evaluation system.

Objective To investigate the effect of non-alcoholic fatty liver disease(NAFLD)induced by high-fat diet(HFD)on the kidneys of mice and the protective effect and mechanism of Xiayuxue Decoction.Methods A total of 25 healthy controls and 25 NAFLD patients who attended Putuo Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from September 2020 to September 2021 were enrolled,and the levels of total cholesterol(TC),triglyceride(TG),blood urea nitrogen(BUN),creatinine(Cr),and uric acid(UA)were measured.A total of 24 male C57BL/6 mice were randomly divided into low-fat diet(LFD)group,HFD group,and HFD+Xiayuxue Decoction group(XYXD group),with 8 mice in each group,and since week 13,XYXD was administered by gavage once a day for 6 weeks till the end of week 18.The level of TC,TG,BUN,and Cr were measured for each group.HE staining and oil red staining were used to observe the pathological changes of the liver and the kidneys;immunohistochemical double staining was used to measure the expression levels of CD68 and alpha-smooth muscle actin(α-SMA);quantitative real-time PCR was used to measure the expression levels of sterol regulatory element binding protein 1(SREBP1),fatty acid synthase(FASN),interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),Desmin,and α-SMA in renal tissue;Western blot was used to measure the protein expression levels of SREBP1 and TNF-α.A one-way analysis of variance was used for comparison of continuous data between multiple groups,and the least significant difference t-test was used for pairwise comparison;the independent-samples t-test was used for comparison between two groups.Results Compared with the healthy controls,NAFLD patients showed significant increases in the levels of TC,TG,BUN,Cr,and UA(all P<0.05).Compared with the LFD group,the HFD group had significant increases in body weight,TC,TG,BUN,and Cr(all P<0.001),and compared with the HFD group,the XYXD group showed significant inhibition of the expression of TC,TG,BUN,and Cr(all P<0.001).Liver pathological examination showed that compared with the LFD group,the HFD group showed significant increases in hepatic steatosis and inflammatory infiltration,while the XYXD group showed significant alleviation of lesions.Renal pathological examination showed that compared with the LFD group,the HFD group had significant inflammatory infiltration,steatosis,and collagen formation in renal tissue,and compared with the HFD group,XYXD significantly alleviated inflammatory infiltration and inhibited steatosis and collagen formation.Quantitative real-time PCR showed that compared with the LFD group,the HFD group had significant increases in the relative mRNA expression levels of SREBP1,FASN,IL-6,TNF-α,Desmin,and α-SMA in renal tissue(all P<0.001),and compared with the HFD group,the XYXD group had significant reductions in the relative expression levels of these indicators(all P<0.001).Western blot showed that compared with the LFD group,the HFD group had significant increases in the protein expression levels of SREBP1 and TNF-α(P<0.05),and compared with the HFD group,the XYXD group had significant reductions in the protein expression levels of SREBP1 and TNF-α(P<0.05).Immunohistochemical staining showed that compared with the LFD group,the HFD group had significant increases in the positive staining or the double positive staining of α-SMA and CD68(P<0.05),and compared with the HFD group,the XYXD group showed significant reductions(P<0.05).Conclusion HFD can induce renal steatosis,inflammatory infiltration,and collagen formation,and XYXD might exert a protective effect on the kidneys by inhibiting the expression of macrophages and myofibroblasts in renal tissue.

Objective:To analyze the prevalence and risk factors of musculoskeletal diseases among interventional surgeons in top three hospitals, and to provide suggestions for prevention of musculoskeletal diseases.Methods:In June 2022, a self-designed questionnaire was used to collect general information of doctors engaged in interventional surgery (121) and non-interventional surgery (124) in some top three hospitals in Tianjin. The standard version of the Nordic Musculoskeletal Questionnaire was used to investigate information related to musculoskeletal diseases. The prevalence and risk factors of musculoskeletal diseases among interventional and non-interventional surgeons were analyzed.Results:The prevalence of musculoskeletal diseases among interventional surgeons and non-interventional surgeons was 59.50% (72/121) and 62.90% (78/124) . Compared with non-interventional surgeons, interventional surgeons had a higher prevalence of musculoskeletal diseases in the shoulders and upper back, and a lower prevalence of musculoskeletal diseases in the waist. The differences were statistically significant ( P<0.05) . Multivariate logistic regression analysis showed that age, weekly time of physical exercise, time of intervention operation, and wearing protective clothing were independent risk factors for musculoskeletal diseases ( P<0.05) . Conclusion:The prevalence rate of musculoskeletal diseases among doctors engaged in interventional surgery is relatively high in some top three hospitals in Tianjin, and proper enhancement of physical exercise and shortening of interventional time are conducive to reducing musculoskeletal diseases.