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.

This paper summarized PENG Qinghua's clinical experience in treating dry eye by applying therapeutic method of maintaining with sweet medicinals and restoring the body fluids. It is believed that the spleen earth insufficiency and fluids damage transforming into dryness are the main pathogenesis of the disease， and the basic therapeutic principle is maintaining with the sweet and restoring the body fluids by mainly using sweet medicines. It is advocated to use mild-sweet herbs， such as Baibiandou （Lablab purpureus subsp. purpureus）， Fuling （Smilax glabra Roxb.）， and Yiyiren （Coix lacryma-jobi L.）， to transport spleen earth， so that qi is restored and body fluids are recovered； moderate-sweet herbs， such as Dangshen （Codonopsis pilosula ［Franch.］ Nannf.）， Taizishen （Pseudostellaria heterophylla ［Miq.］ Pax）， Shanyao （Dioscorea oppositifolia L.） and Zhigancao （Glycyrrhiza glabra L.） are suggested to cultivate earth and generate metal， so as to move qi and circulate fluid； sweet-cool herbs， such as Nanshashen （Adenophora triphylla ［Thunb.］ A.DC.）， Beishashen （Glehnia littoralis ［A.Gray］ F.Schmidt ex Miq.）， Yuzhu （Polygonatum odoratum ［Mill.］ Druce）， Tianhuafen （Trichosanthes kirilowii Maxim.） are suggested to nourish yin and increase body fluids， so as to promote fluid production to moisten dryness. In this way， when the source of fluid is restored and the fluid is circulated， the fluid can be produced continuously， which provides new ideas for the treatment of dry eyes with traditional Chinese medicine.

Gallbladder carcinoma,a relatively rare malignancy within the biliary tract,presents a grave prognosis primarily due to asymptomatic early stages leading to advanced stage diagnosis and the absence of efficacious treatment options.Research has identified chronic inflammation,predom-inantly caused by gallstones,as a critical etiological factor.While surgical intervention offers potential curative outcomes in early stages,the majority of cases are identified too late for optimal surgical outcomes.Chemotherapy and targeted therapy,despite offering new therapeutic avenues,have not significantly improved overall survival rates.Thus,understanding the pathogenesis of gallbladder cancer,especially its association with key genetic and molecular pathways,is imperative for devising novel therapeutic strategies.This review delineates the epidemiology,pathogenesis,current treat-ment modalities,and research advancements in gallbladder cancer,aiming to provide innovative in-sights for clinical management and guide future research endeavors.

AIM To study the chemical constituents and their anti-inflammatory activities of stems and leaves of Lonicera confusa DC.METHODS The 80%methanol extract from stems and leaves of L.confusa DC was isolated and purified by Diaion HP20SS,Sephadex LH-20,HSCCC and preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their anti-inflammatory activities were evaluated by measuring NO production of LPS-stimulated RAW264.7 cells in vitro.RESULTS Thirteen compounds were isolated and identified as benzyl alcohol-O-β-D-glucopyranosyl-(1 →6)-β-D-glucopyranoside(1),sweroside(2),epi-vogeloside(3),vogeloside(4),secologanoside(5),secoxyloganin(6),secologanin dimethyl acetal(7),methyl chlorogenate(8),apigenin-7-O-β-D-glucopyranoside(9),luteolin-7-O-β-D-glucopyranoside(10),rhoifolin(11),luteolin-7-O-α-L-arabinopyranosyl(1→6)-β-D-glucopyranoside(12),and lonicerin(13).Compounds 2-8,11-13 inhibited the NO production of LPS-induced cells.CONCLUSION Compound 1 is first isolated from family Lonicera,compounds 3,5,7,9,11,and 12 are obtained from the stems and leaves of this plant for the first time.Compounds 2-8,11-13 exhibited anti-inflammatory activities.

Objective lo investigate the protective effect of dihydromyricetin(DHM)against exercise-induced muscle damage(EIMD)in mice and its potential mechanism. Methods Adult male C57BL/6J mice were randomly divided into control group(CG),exercise group(EG),and exercise+100 mg/kg weightd DHM(DHM)group.The intervention lasted for four weeks,during which the animals in the EG and DHM groups were subjected to exercise training for 1 h per day.The day after the training,a 90-min treadmill exercise(slope:0 and speed:18 m/min)was conducted in both EG and DHM groups.Samples of blood and gastrocnemius muscles were harvested from the three groups 24 h after the exercise,followed by the measurement of serum creatine kinase(CK)and lactate dehydrogenase(LDH)activities,total superoxide dismutase(T-SOD)activity,malondialdehyde(MDA),and skeletal muscle mitochondrial enzyme complex Ⅰ and Ⅱ activities.Histological changes in the skeletal muscle were observed by transmission electron microscopy,and the protein expressions of mitochondrial function-related pathways were detected by Western blotting. Results Skeletal muscle morphological changes and mitochondrial damage were alleviated in the DHM group compared to those in the EG.The activities of EIMD markers CK and LDH and the level of lipid peroxidation were notably repressed and the serum T-SOD activity was enhanced after DHM intervention.Western blotting demonstrated that the expressions of sirtuin type 3(SIRT3),estrogen-related receptor alpha,and peroxisome proliferator-activated receptor-gamma coactivator-1 alpha in the skeletal muscle of mice increased after the DHM intervention. Conclusion DHM can relieve EIMD in mice,possibly by promoting the recovery of the mitochondrial structure and function in the skeletal muscle of mice after high-intensity exercise via the activation of the SIRT3 signaling pathway.

Objective:To investigate the predictive value of MRI balanced steady-state free precession(b SSFP)synergistic voxel incoherent motion diffusion weighted imaging(IVIM-DWI)and Gd-DTPA enhanced scanning for the status of extramural vascular invasion(EMVI)in rectal cancer before surgery.Methods:A total of 105 rectal cancer patients from the People's Hospital of Lujiang County,Anhui Province,were retrospectively selected and included.All patients were confirmed by postoperative pathology and underwent preoperative b SSFP sequences,IVIM-DWI functional imaging,and Gd-DTPA-enhanced multiparameter MRI scans.Three seven-point schemes based on individual b SSFP sequences,IVIM-DWI functional imaging,and Gd-DTPA en-hancement,two-by-two synergy,and multi-sequence combined diagnosis were utilized in con-junction with conventional MRI sequences for preoperative prediction of EMVI status.The diag-nostic efficacy of T2WI and b SSFP sequences was compared with that of postoperative patho-logic results.ROC curves were plotted to obtain the corresponding area under the ROC curve(AUC),specificity,and sensitivity.Results:The AUC for predicting the preoperative vascular status outside the rectal wall was 0.572(95％CI:0.408～0.737)for the conventional T2 lipid sup-pression sequence,with a specificity of 0.811 and a sensitivity of 0.667.The AUC for the b SSPF sequence was 0.817(95％CI:0.680～0.954),with a specificity of 0.900 and a sensitivity of 0.733.All of the statistical parameters were higher than the diagnostic efficacy of conventional T2 lipid suppression sequences.The multi-sequence MRI co-diagnosis had an AUC of 0.961(95％CI:0.886～1.000),with a specificity of 0.988 and a sensitivity of 0.875(P＜0.05).Conclusion:Mag-netic resonance b SSFP sequence synergized with IVIM-DWI and Gd-DTPA-enhanced multipa-rameter scanning has high clinical application value for the preoperative prediction of EMVI inva-sion in rectal cancer.

Objective To observe the value of dual domain(projection domain and image domain)joint learning reconstruction network(DDRNet)for reconstructing chest limited angle CT images.Methods Totally 4 300 chest enhanced CT images of 65 patients with chest tumors were retrospectively enrolled and reconstructed with DDRNet,and 3D and 2D projection information fusion were performed.The reconstruction effect of DDRNet was evaluated and compared with that of single domain reconstruction and filtered back projection(FBP),residual encoder-decoder convolutional neural network(RED-CNN),Resnet and deconvolution network(RDN),as well as of generative adversarial network(GAN).Results The peak signal to noise ratio(PSNR)of DDRNet reconstructed images tended to stabilize after approximately 60 iterations,while the projection domain and image domain learning networks tended to stabilize after approximately 90 and 80 iterations.After stable training,compared to the projection domain learning network,the fluctuation of output results of DDRNet and image domain learning networks were less.After 200 rounds of training,PSNR of DDRNet reconstructed images was significantly higher than that of projection domain and image domain learning networks.The quality of DDRNet reconstructed image was significantly better than that of FBP,RED-CNN,RDN and GAN.Conclusion DDRNet could be used to effectively reconstruct high-quality chest limited angle CT images.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To study the anti-reflux effect of conical gastric stump embedding in radical resection of esophageal cancer.Methods A total of 60 patients who planned to undergo radical resection of esophageal cancer in our hospital from June 2020 to June 2022 were selected as the study objects,and the patients were divided into the observation group and the control group by random number table method,with 30 cases in each group.Patients in both groups underwent laparoscopic radical resection of esophageal cancer and esophagogastric end-to-side mechanical anastomosis.The observation group adopted the conical gastric stump embedding technique after esophagogastric end-to-side mechanical anastomosis.The perioperative related indexes,postoperative complications and gastroesophageal reflux of patients in the two groups were compared.The postoperative anti-reflux effect was evaluated by reflux disease questionnaire(RDQ)score and 24-hour intraesophageal pH monitoring.Results The operation time and digestive tract reconstruction time of patients in the observation group were longer than those in the control group(P<0.05),while there was no statistically significant difference in the amount of intraoperative bleeding,the number of lymph node dissection,the first exhaust time,or the postoperative hospital stay of patients between the two groups(P>0.05).There was no statistically significant difference in the overall incidence of postoperative complications between the two groups(P>0.05).The severity of postoperative gastroesophageal reflux of patients in the observation group was lighter than that in the control group,and the difference was statistically significant(P<0.05).The RDQ score,24-hour reflux frequency,>5 minutes reflux frequency,pH<4 time,and longest reflux time of patients in the observation group was significantly lower/less/shorter than those in the control group(P<0.05).Conclusion The conical gastric stump embedding technique is safe and feasible in the radical resection of esophageal cancer.Although the operation time and digestive tract reconstruction time are slightly prolonged,it does not increase the perioperative risks,which can significantly reduce the occurrence and severity of postoperative gastroesophageal reflux of patients,and achieve a good anti-reflux effect.

Objective To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation(MPR),and to explore the applicability of cranial suture closure rule in age estimation of northern Chinese Han population.Methods The head CT samples of 132 northern Chinese Han adults aged 29-80 years were retrospectively collected.Volume reconstruction(VR)and MPR were performed on the skull,and 160 cranial suture tomography images were generated for each sample.Then the MPR images of cranial sutures were scored according to the closure grading criteria,and the mean closure grades of sagittal suture,coronal sutures(both left and right)and lambdoid sutures(both left and right)were calculated respectively.Finally taking the above grades as independent variables,the linear regression model and four machine learning models for age estimation(gradient boosting regression,support vector regression,decision tree regression and Bayesian ridge regression)were established for northern Chinese Han adults age estimation.The accu-racy of each model was evaluated.Results Each cranial suture closure grade was positively correlated with age and the correlation of sagittal suture was the highest.All four machine learning models had higher age estimation accuracy than linear regression model.The support vector regression model had the highest accuracy among the machine learning models with a mean absolute error of 9.542 years.Conclusion The combination of skull CT-MPR and machine learning model can be used for age esti-mation in northern Chinese Han adults,but it is still necessary to combine with other adult age estima-tion indicators in forensic practice.