ObjectiveTo analyze the research status and development trends of non-pharmacological therapies for post-stroke spasticity (PSS) over the past two decades. MethodsRelevant literatures on non-pharmacological rehabilitation of PSS published from January, 2004 to June, 2024 were retrieved from Web of Science Core Collection. CiteSpace 6.3.R6 and VOSviewer 1.6.18 were used for visualization analysis. ResultsA total of 780 publications were included. The annual number of publications showed an overall upward trend. China, the USA, and Italy contributed the highest number of publications. The Hong Kong Polytechnic University and researcher Noureddin Nakhostin Ansari were identified as the most influential institution and author, respectively. High-frequency keywords and cluster labels included electric stimulation, transcranial magnetic stimulation, robot and acupuncture. ConclusionOver the past 20 years, researches on non-pharmacological therapies for PSS have remained active, with hotspots focusing on diverse interventions such as electrical stimulation, magnetic stimulation and robot-assisted therapy.

Both porto-sinusoidal vascular disorder and hepatic sinusoidal obstruction syndrome belong to hepatic vascular diseases， and they have differences in etiology， clinical manifestations， treatment， and prognosis. However， recent research evidence has gradually shown that the association between porto-sinusoidal vascular disorder and hepatic sinusoidal obstruction syndrome has not been fully understood， suggesting that they may be two different manifestations of the same disease. This article reviews the association between these two diseases and related research evidence.

Cavernous transformation of the portal vein （CTPV） is a significant challenge in clinical practice. In recent years， transjugular intrahepatic portosystemic shunt has gradually been applied in the treatment of CTPV patients， but it had a technical success rate and a relatively high surgical risk. The scholars have adopted various modified techniques of portosystemic shunt to improve success rate and safety. However， for CTPV patients with extensive occlusion of the main portal vein， this surgery remains difficult， and individualized strategies for portosystemic shunt should be formulated. This article reports a case of CTPV treated by transjugular extrahepatic portosystemic shunt assisted by endoscopic ultrasound-guided portal vein localization， in order to explore a new pathway for the clinical management of patients with CTPV.

OBJECTIVE Healthcare-associated infection(HAI)surveillance is a crucial tool for healthcare manage-ment and public health prevention,the World Health Organization(WHO)released simplified technical guidelines of HAI surveillance to enhance the HAI surveillance in areas with limited medical resources.This study explores the applicability and implementation pathways of the WHO's simplified standards for HAI surveillance in China.METHODS This study used text analysis and qualitative interviews to compare the differences of HAI sur-veillance criteria between China and WHO.Interviews were conducted with professionals of infection prevention and control(IPC)to explore the opportunities and challenges of implementing WHO simplified standards in China.RESULTS Twenty-two IPC professionals with long-term experiences participated in the interviews.Main themes derived from the interview were:WHO simplified standards could enhance the sensitivity of HAI surveil-lance,this approach provided insights for a risk early warning surveillance and improved surveillance in primary healthcare institutions.It also increased the international comparability of Chinese HAI surveillance results.How-ever,the implementation of the WHO simplified standards required further pilot validation,higher levels of infor-matic surveillance and clinical diagnostic capabilities.CONCLUSION This study explores the feasibility and accept-ability of the WHO's simplified HAI surveillance in China,provides references for the transformation of China's HAI surveillance models and systems.

Objective:To analyze the clinical efficacy and learning curve for robot-assisted cortical bone trajectory (CBT) screw fixation performed by surgeons with different seniority in the treatment of lumbar degenerative disease.Methods:The clinical data of 91 lumbar degenerative disease patients underwent robot-assisted CBT screw fixation from August 2020 to December 2022 in Beijing Shijitan Hospital, Capital Medical University were retrospectively analyzed. Among them, 48 patients underwent surgery performed by the same senior surgeon (senior group), with a total of 234 CBT screws were placed; while 43 patients underwent surgery performed by the same junior surgeon (junior group), with a total of 206 CBT screws were placed. The surgical related indexes, functional improvement score, lower back pain and lower limb radiation pain scores, acceptable nail insertion rate, non invasion rate of facet joints and incidence of postoperative complications were compared between two groups. The functional improvement score was evaluated using the Japanese Orthopaedic Association (JOA) score, the pain score was evaluated using visual analog score (VAS). The cumulative sum (CUSUM) method was used to depict the learning curve with "single screw placement time" as the observation index.Results:There were no statistical difference in incision length, operation time, intraoperative blood loss and postoperative hospital stay between two groups ( P>0.05). The least squares means of JOA scores 1, 3 and 6 months after surgery in both groups increased significantly compared to baseline, while the least squares means of lower back pain VAS and lower limb radiation pain VAS decreased significantly compared to baseline; there were no statistical differences between two groups ( P>0.05). There were no statistical difference in acceptable nail insertion rate, non invasion rate of facet joints and incidence of postoperative complications between two group ( P>0.05). The CUSUM learning curves were fitting well and the inflection point for senior surgeon corresponded to 18 cases, while it was reached after performing surgery on 21 cases for junior surgeon. Conclusions:Robot-assisted CBT screw fixation performed by surgeons with different seniority could achieve similar clinical outcomes for treating lumbar degenerative disease. The senior surgeons are able to complete the initial learning stage faster than the junior surgeons, but there is not much difference in the number of surgeries performed the learning curve.

OBJECTIVE Healthcare-associated infection(HAI)surveillance is a crucial tool for healthcare manage-ment and public health prevention,the World Health Organization(WHO)released simplified technical guidelines of HAI surveillance to enhance the HAI surveillance in areas with limited medical resources.This study explores the applicability and implementation pathways of the WHO's simplified standards for HAI surveillance in China.METHODS This study used text analysis and qualitative interviews to compare the differences of HAI sur-veillance criteria between China and WHO.Interviews were conducted with professionals of infection prevention and control(IPC)to explore the opportunities and challenges of implementing WHO simplified standards in China.RESULTS Twenty-two IPC professionals with long-term experiences participated in the interviews.Main themes derived from the interview were:WHO simplified standards could enhance the sensitivity of HAI surveil-lance,this approach provided insights for a risk early warning surveillance and improved surveillance in primary healthcare institutions.It also increased the international comparability of Chinese HAI surveillance results.How-ever,the implementation of the WHO simplified standards required further pilot validation,higher levels of infor-matic surveillance and clinical diagnostic capabilities.CONCLUSION This study explores the feasibility and accept-ability of the WHO's simplified HAI surveillance in China,provides references for the transformation of China's HAI surveillance models and systems.

BACKGROUND:The development of calcium phosphate bone cement is limited due to its poor mechanical properties and weak osteogenic ability.Silicate bioactive glass is highly favored due to its excellent biological activity and osteogenic ability.Simultaneously,fiber structures can enhance the mechanical strength of materials.OBJECTIVE:To investigate the mechanical properties,biocompatibility,and osteogenic effect of silicate bioactive glass fiber composite calcium phosphate bone cement.METHODS:Different mass percentages(0％,10％,and 20％)of silicate bioactive glass fiber were added to the solid phase of calcium phosphate bone cement,mixed with the liquid phase and cured for 48 hours to obtain silicate bioactive glass fiber composite calcium phosphate bone cement.The mechanical properties,setting time,and ion precipitation of the cement were characterized.The three groups of bone cement extracts were co-cultured with MC3T3-E1 cells.The cell compatibility of the materials was evaluated by CCK-8 assay,live/dead staining,and phalloidin staining.After osteogenic induction,the osteogenic induction ability of the materials was evaluated by alkaline phosphatase staining,alizarin red staining,RUNX2 immunofluorescence staining,and RT-PCR.RESULTS AND CONCLUSION:(1)With the increase of silicate bioactive glass fiber content,the compressive strength and flexural strength of bone cement increased,and the setting time was prolonged.When bone cement was immersed in simulated body fluid,the precipitation of silicon ions,calcium ions,and phosphorus ions could be detected.Moreover,with the increase of silicate bioactive glass fiber content,the mass concentration of silicon ions and phosphorus ions released by bone cement increased,and the mass concentration of calcium ions decreased.(2)Live/dead staining and phalloidin staining results exhibited that silicate bioactive glass fiber composite calcium phosphate bone cement had no toxic effect on MC3T3-E1 cells.CCK-8 assay results showed that silicate bioactive glass fiber composite calcium phosphate bone cement could promote the proliferation of MC3T3-E1 cells.(3)With the increase of silicate bioactive glass fiber content in bone cement,the alkaline phosphatase activity and extracellular calcium deposition of MC3T3-E1 cells increased,the expression of RUNX2 protein increased,and the expression of alkaline phosphatase,osteocalcin,osteopontin,and RUNX2 mRNA expression increased.(4)The results indicate that silicate bioactive glass fibers can enhance the mechanical properties and osteogenic induction ability of calcium phosphate bone cement,among which 20％silicate bioactive glass fibers have a more obvious effect.

Objective:To analyze the current situation of medical consumables management policy in China,and to provide a reference for the refined management of medical consumables.Methods:Through the policy triangle model and policy tool theory,it comprehensively analyzes the reimbursement medical consumables catalogue and payment management policy of medical insurance in China,covering the policy background,content,process,and participant dimensions.Results:The use frequency of medical consumables policy tools is not balanced,the payment management rules need to be refined,and the participation of multi-stakeholders such as patients is lacking.Conclusion:It is necessary to further strengthen the foundational management of reimbursement medical consumables catalogue,improve the access mechanism of medical consumables for medical insurance,and explore the formulation of categorized payment standards and innovative payment mechanisms.

Objective:To establish and validate a multimodal model based on radiomics and deep learning for predicting acute pancreatitis (AP) complicated with acute respiratory distress syndrome (ARDS).Methods:Patients diagnosed with AP from The First Affiliated Hospital of Soochow University, Donghai County People's Hospital and Jintan Affiliated Hospital of Jiangsu University between January 2017 and December 2023 were enrolled. Based on the diagnosis of ARDS within 1 week after admission, the patients were classified into the ARDS group and the non-ARDS group. Patients in the First Affiliated Hospital of Soochow University ( n=406) was used as the training set (non-ARDS group n=212 vs ARDS group n=194), while Donghai and Jintan hospitals served as the test set ( n=175; non-ARDS group n=104 vs ARDS group n=71). Clinical data, laboratory tests and the occurrence of systemic inflammatory response syndrome (SIRS) within 24 hours after admission were collected. Scoring systems such as bedside index for severity in acute pancreatitis (BISAP), Ranson score and modified CT severity index (MCTSI) were calculated. Radiomics features were extracted from three-dimensional CT images to develop a radiomics model based on XGBoost algorithm. At the same time, a deep learning model was constructed using deep convolutional networks to extract deep features. Finally, clinical features and the predictions from the aforementioned models were integrated to establish a multimodal model based on XGBoost algorithm. To enhance model visualization, variable importance ranking and local interpretable visualization were used. The receiver operating characteristic (ROC) curves of the three models and the three scores including BISAP, Ranson and MCTSI were plotted and the area under the curves (AUCs) were calculated to evaluate the prediction performance for ARDS in AP patients, as well as sensitivity and specificity. Results:In the multimodal model for predicting ARDS in AP patients, predictions of the deep learning model and the radiomics model were the most important variables, followed by SIRS, C-reactive protein, procalcitonin, albumin, glucose, creatinine, neutrophil, and Ca 2+. In the training set, the multimodal model achieved an AUC of 0.933 for predicting ARDS in AP patients, higher than the radiomics model (0.727), the deep learning model (0.877), MCTSI (0.870), Ranson (0.620) and BISAP (0.898). In the test set, the model's AUC was 0.916 for predicting ARDS in AP patients, higher than the radiomics model (0.660), the deep learning model (0.864), MCTSI (0.851), Ranson (0.609), and BISAP (0.860). Conclusions:Based on clinical structured data, radiomics and deep learning features, the multimodal model could predict the risk of ARDS in AP patients at an early stage, whose performance is better than the single-modal models and the traditional scoring systems.

ObjectiveTo investigate the risk factors for survival after transjugular intrahepatic portosystemic shunt （TIPS） in patients with liver cirrhosis and esophagogastric variceal bleeding （EGVB）， and to establish a predictive model for survival after TIPS. MethodsClinical data were collected from 352 patients with liver cirrhosis and EGVB who underwent TIPS in Department of Gastroenterology， Affiliated Drum Tower Hospital of Nanjing University Medical School， from January 2015 to December 2018， and the patients were randomly divided into training group （n=248） and validation group （n=104） at a ratio of 7∶3. The Cox regression analysis was used to identify the independent risk factors for survival after TIPS， and a nomogram predictive model was established. The index of concordance （C-index） and the receiver operating characteristic （ROC） curve were used to assess the discriminatory ability of the model， and the calibration curve was used to assess the predictive value of the model. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. The Kaplan-Meier analysis was used to calculate cumulative survival rate. ResultsFor the patients in the training group， the 1-，3-， and 5-year cumulative survival rates were 91.1%，79.5%， and 77.0%， respectively. The multivariate Cox regression analysis showed that age （hazard ratio ［HR］=1.047， 95% confidence interval ［CI］：1.032‍ ‍—‍ ‍1.092，P<0.001）， MELD score （HR=1.127，95%CI：1.003‍ ‍—‍ ‍1.268，P=0.045）， and serum sodium （Na） （HR=0.928，95%CI：0.878‍ ‍—‍ ‍0.981，P=0.008） were independent influencing factors for survival， and a predictive model and a nomogram were established based on these factors. The predictive model had a C-index of 0.760 in the training group and 0.757 in the validation group. In the training group， the nomogram had an area under the ROC curve of 0.807，0.788， and 0.787， respectively， in predicting 1-，3-， and 5-year cumulative survival rates. The calibration curve showed relatively high consistency between the results predicted by the nomogram and the actual results. ConclusionA nomogram model is established based on age， MELD score， and Na for predicting survival after TIPS in patients with liver cirrhosis and EGVB， and this model has good discriminatory ability and accuracy.