epsis is a systemic inflammatory response syndrome triggered by infection， and its high mortality rate is closely associated with immune imbalance， particularly the imbalance in the differentiation of helper T cell （Th） cell subsets [Th1， Th2， Th17， regulatory T cell （Treg） ] . In recent years， traditional Chinese medicine （TCM）， with its characteristics of multi-component and multi-target actions， has demonstrated unique advantages in regulating Th cell differentiation and function， as well as correcting immune imbalances in sepsis， offering new perspectives for immunotherapy of sepsis. This review summarizes relevant studies on the regulation of Th cell differentiation for sepsis treatment by TCM monomers and active ingredients （such as Astragalus membranaceus ， Scutellaria baicalensis ， Coptis chinensis ， Rheum palmatum ， Ganoderma lucidum ， Ginkgo biloba ， and Cistanche deserticola ）， the alcohol extract of Dai Baijie， and TCM formulas and preparations categorized as blood-activating and stasis-removing， purgative and laxative， warming and tonifying yang， and tonifying qi and nourishing yin. The results indicate that these TCM monomers， active ingredients， extracts， formulas， and preparations can regulate the Th1/Th2 and Th17/Treg balance， target the differentiation balance of Th cell subsets， alleviate inflammatory responses， or improve immune suppression， thereby exerting therapeutic effects on sepsis.

Sepsis is a systemic inflammatory response syndrome triggered by infection. It progresses rapidly and tends to develop into multiple organ dysfunction. Tanshinone ⅡA， one of the core active ingredients of Salvia miltiorrhiza， exerts remarkable targeted protective effects against sepsis-induced multiple organ dysfunction. This paper reviews the mechanisms by which tanshinone ⅡA alleviates sepsis-induced multiple organ dysfunction. Tanshinone ⅡA can relieve sepsis-induced lung injury by inhibiting the activity of Toll-like receptor 4/myeloid differentiation primary response protein 88/nuclear factor- κB， phosphatidylinositol 3-kinase/protein kinase B signaling pathways and maintaining mitochondrial homeostasis. It ameliorates sepsis- induced myocardial injury via suppressing the activation of NOD-like receptor family pyrin domain-containing 3/caspase-1 signaling pathway， downregulating the expression of inflammatory factors and regulating autophagy. It mitigates sepsis-induced renal injury by regulating oxidative stress imbalance and reducing the expression of apoptosis-related proteins. It alleviates sepsis-caused liver injury through inhibiting the release of inflammatory factors and hepatocyte apoptosis. It improves sepsis-induced intestinal barrier dysfunction by upregulating the expression of tight junction proteins and restraining inflammatory responses. Furthermore， it relieves sepsis-associated encephalopathy by activating peroxisome proliferator-activated receptor gamma coactivator-1α/nuclear respiratory factor 1/mitochondrial transcription factor A signaling pathway. Tanshinone ⅡA is expected to be a vital candidate drug for comprehensive prevention and treatment of sepsis. However， interdisciplinary research is required to break through current bottlenecks and realize the transformation from basic experiments to clinical application.

The translocator protein (TSPO) positron emission tomography (PET) can noninvasively detect neuroinflammation associated with epileptogenesis and epilepsy. This study explored the role of the TSPO-targeting radioligand [¹⁸F]F-TFQC, an m-trifluoromethyl ER176 analog, in the PET neuroimaging of epileptic rats. Initially, [¹⁸F]F-TFQC was synthesized with a radiochemical yield of 8%-10% (EOS), a radiochemical purity of over 99%, and a specific activity of 38.21 ± 1.73 MBq/nmol (EOS). After determining that [¹⁸F]F-TFQC exhibited good biochemical properties, [¹⁸F]F-TFQC PET neuroimaging was performed in epileptic rats at multiple time points in various stages of disease progression. PET imaging showed specific [¹⁸F]F-TFQC uptake in the right hippocampus (KA-injected site, i.e., epileptogenic zone), which was most pronounced at 1 week (T/NT 1.63 ± 0.21) and 1 month (T/NT 1.66 ± 0.20). The PET results were further validated using autoradiography and pathological analysis. Thus, [¹⁸F]F-TFQC can reflect the TSPO levels and localize the epileptogenic zone, thereby offering the potential for monitoring neuroinflammation and guiding anti-inflammatory treatment in patients with epilepsy.

Intrinsic gallium-68 labeling of nanoclays was developed with high labeling yield and radiostability that did good for their in vivo tracking.Image 1.

Objective: To explore the association between peer victimization and psychotic like experiences (PLEs) among junior high school students, so as to provide a scientific basis for preventing adolescent PLEs. Methods: In January 2024, a method of combining convenient sampling with cluster sampling was used to survey 2 760 students from two ordinary junior high schools in southern Anhui Province (Susong Country,Anqing City). The Community Assessment of Psychic Experiences (CAPE) and the Adolescent Peer Bullying Scale were employed to assess PLEs with different symptoms and peer victimization (verbal, physical, relational, and cyberbullying). Multivariate Logistic regression models analyzed the associations of different types peer victimization and PLEs with different symptoms. Results: The prevalence of PLEs was 17.5%, with delusional (15.4%) and hallucinatory (7.4%) symptoms being most common. Peer victimization was reported by 51.3% of students (49.6% victims, 19.5% perpetrators), with verbal victimization being most frequent (42.4% victims, 15.5% perpetrators) and cyberbullying least frequent (6.0% victims, 1.9 % perpetrators). Compared to students without bullying,students exposed to bullying showed significantly higher rates of delusional ( χ 2=29.09-127.22), hallucinatory ( χ 2=27.23-72.29), and overall PLEs ( χ 2=34.32-127.25) (all P <0.01). After adjusting for relevant confounding factors,the multiple Logistic regression model revealed verbal victimization increased risks of delusions ( OR=1.59, 95%CI =1.22-2.09), hallucinations ( OR=1.94, 95%CI =1.33-2.84), and overall PLEs ( OR=1.62, 95%CI = 1.26- 2.09); relational victimization was associated with delusions ( OR=1.83, 95%CI =1.40-2.39) and PLEs ( OR=1.65, 95% CI = 1.28-2.13); physical victimization correlated with hallucinations ( OR=1.64, 95%CI =1.12-2.40) and PLEs ( OR=1.41, 95%CI =1.06-1.87) (all P <0.05). Conclusion Specific types of peer victimization are differentially associated with PLEs, with relational victimization demonstrating the strongest association.

Medical equipment, as an important indicator of smart hospital evaluation, plays a vital role in hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable performance evaluation system is indispensable. This study introduces a platform based on Internet of Things (IoT) technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition devices are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision-making support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and significantly impact decision-making for the development of public hospitals.
Internet of Things ; Delphi Technique

Objective:To compare the anticoagulant efficacy and safety between argatroban and heparin in patients with liver failure complicated with hepatic encephalopathy undergoing artificial liver treatment.Methods:A total of 207 patients with liver failure complicated with hepatic encephalopathy who received artificial liver treatment in the intensive care unit (ICU) of Wuxi No.5 People′s Hospital from January 2021 to October 2024 were enrolled, including 105 cases in the argatroban group and 102 cases in the heparin group. Changes in coagulation function, hemoglobin (Hb), platelet (PLT) count, and model for end-stage liver disease (MELD) score before and after artificial liver treatment were compared between the two groups. The formation of deep vein thrombosis in the lower extremities, coagulation in the extracorporeal circulation circuit and plasma separator, bleeding at the deep venous catheter site were compared between the two groups. The 28-day survival outcome of the patient were recorded. Two independent sample t-test, rank sum test, and chi-square test were used for statistical comparisons, and the Kaplan-Meier method and log-rank test were used to analyze the survival rate of patients. Results:There were no statistically significant differences in activated partial thromboplastin (APTT), international normalized ratio (INR), Hb and PLT count before and after artificial liver treatment in the argatroban group ( Z=-1.74, -1.80, -1.26 and -0.52, respectively, all P>0.05), while the MELD score after treatment was lower than that before treatment and the difference was statistically significant ( t=6.49, P<0.001). After artificial liver treatment, the APTT in the argatroban group was 47.10(42.65, 51.90) s, which was shorter than that in the heparin group (56.05(50.02, 63.00) s). The INR, Hb, and PLT count in the argatroban group were 2.00(1.65, 2.54), 98.00(88.00, 112.00) g/L, and 92.00(75.50, 106.00)×10 9/L, respectively, which were all higher than those in the heparin group, which were 1.56(1.22, 1.93) g/L, 90.50(80.00, 104.75) g/L, and 74.00(64.75, 99.50)×10 9/L, respectively. The differences were all statistically significant ( Z=-7.16, -5.28, -3.05 and -3.32, respectively, all P<0.05). There was no statistically significant difference in MELD scores between the two groups ( P=0.250). The incidence of coagulation in the extracorporeal circulation circuit and plasma separator and bleeding at the deep venous catheter site in the argatroban group was 5.71%(6/105) and 1.90%(2/105), respectively, which were both lower than those in the heparin group (14.71%(15/102) and 9.80%(10/102), respectively). The differences were both statistically significant ( χ2=4.59 and 5.91, respectively, both P<0.05). At the end of the 28-day follow-up, the mortality rates in the argatroban group and the heparin group were 22.9%(24/105) and 34.3%(35/102), respectively, and the difference was not statistically significant ( χ2=3.33, P=0.068). There was no statistically significant difference in the 28-day survival rate between the argatroban group and the heparin group ( χ2=2.09, P>0.05). Conclusions:Argatroban has a relatively minor impact on PLT count and Hb when it is used in artificial liver treatment for patients with liver failure complicated with hepatic encephalopathy. The incidence of coagulation in extracorporeal circulation circuits and plasma separators is low, and the risk of bleeding at the deep venous catheters is low. Argatroban is highly safe, which provides a new anticoagulation option for patients with a high risk of bleeding.

Objective:To explore the correlation and predictive value of the blood urea nitrogen to serum albumin ratio (BAR) in the development of sepsis among patients with acute-on-chronic liver failure (ACLF).Methods:A total of 410 patients diagnosed with ACLF who were admitted to Wuxi Fifth People′s Hospital between January 1st, 2020 and December 31st, 2024 were enrolled in this study. Demographic information, laboratory test indicators, and other clinical data were retrospectively analyzed. Participants were stratified into two groups using a 6∶4 allocation ratio, comprising a training set of 246 patients and a validation set of 164 patients, the clinical data of two groups were compared. Logistic regression was employed to evalute the influencing factors of sepsis during hospitalization in ACLF patients. Additionally, the predictive value of different factors for sepsis occurrence was evaluated using receiver-operating characteristic curve analysis. DeLong test was used to compare the area under the curve.Results:The comparison of baseline data between the training set and the validation set revealed no statistically significant differences (all P>0.05). A total of 197 sepsis cases were observed during the study period. Multivariate logistic regression analysis revealed that both BAR and the sequential organ failure assessment (SOFA) score were independent influencing factors for sepsis development in ACLF patients (odds ratio ( OR)=1.274, 95% confidence interval (95% CI) 1.075 to 1.510, P=0.005; OR=1.142, 95% CI 1.038 to 1.256, P=0.006). In the training set, the area under the curve (AUC) of BAR for predicting sepsis in ACLF patients was 0.802, which was superior to that of the SOFA score (AUC=0.706) ( Z=2.16, P=0.031). The validation set showed the predictive ability of BAR with an AUC of 0.726, which was superior to the SOFA score′s performance (AUC=0.606) ( Z=2.28, P=0.023). Conclusions:BAR could independently predict sepsis development in ACLF patients with significant prognostic value. BAR could be used as a clinically useful biomarker for sepsis risk stratification.

Objective To investigate the relationship between the levels of macrophage migration inhibito-ry factor(MIF),lipoprotein-associated phospholipase A2(Lp-PLA2)and chemokine CC motif ligand 3(CCL3)in peripheral blood and severity of disease and complication of acute kidney injury in neonatal sepsis.Methods A total of 112 children with NS admitted to this hospital from May 2021 to May 2024 were selected as the research objects.According to the neonatal acute physiology score Ⅱ(SNAP-Ⅱ score),they were di-vided into mild group(71 cases)and severe group(41 cases),and according to whether the children were complicated with AKI,they were divided into AKI group(47 cases)and non-AKI group(65 cases).In addi-tion,112 healthy neonates who underwent physical examination in the hospital during the same period were selected as the control group.The levels of MIF,Lp-PLA2 and CCL3 in peripheral blood were detected in each group.Pearson correlation analysis was used to analyze the correlation between the levels of MIF,Lp-PLA2 and CCL3 in peripheral blood and the severity of NS.Multivariate Logistic regression was used to analyze the influencing factors of AKI in children with NS.The receiver operating characteristic(ROC)curve was drawn to evaluate the predictive value of peripheral blood MIF,Lp-PLA2 and CCL3 for the severity of NS and the complication of AKI in NS.Results The levels of MIF,Lp-PLA2 and CCL3 in the severe group were higher than those in the mild group and the control group(P<0.05),and those in the mild group were higher than those in the control group(P<0.05).The severe group had a significantly higher SNAP-Ⅱ score than the mild group(P<0.05).The levels of MIF,Lp-PLA2 and CCL3 in peripheral blood of NS children were posi-tively correlated with SNAP-Ⅱ score(r=0.512,0.463,0.547,P<0.05).The area under the curve(AUC)of peripheral blood MIF,Lp-PLA2 and CCL3 in the diagnosis of severe NS was 0.782,0.772 and 0.753,respec-tively.The AUC of combined diagnosis was 0.888,which was higher than that of individual indicators(P<0.05).The levels of MIF,Lp-PLA2 and CCL3 in AKI group were higher than those in non-AKI group(P<0.05).Neonatal asphyxia,high levels of MIF,Lp-PLA2,and CCL3 were risk factors for AKI in children with NS(P<0.05).The AUC of MIF,Lp-PLA2 and CCL3 in predicting AKI in children with NS were 0.770,0.759 and 0.757,respectively.The AUC of the combined prediction of MIF,Lp-PLA2 and CCL3 was 0.910,which was higher than that of each index alone(P<0.05).Conclusion The levels of MIF,Lp-PLA2 and CCL3 in peripheral blood of children with NS are increased,which are closely related to the aggravation of NS and the development of AKI.The combined detection of MIF,Lp-PLA2 and CCL3 has a high value in the as-sessment of the severity of NS and the risk of AKI.

Objective:To investigate the application of time series models in forecasting pre-hospital emergency ambulance trips in Handan City and develop the LPro ensemble model for improved prediction accuracy to support emergency resource allocation.Methods:Pre-hospital emergency data from Handan Emergency Medical Command Center (2019-2023) were retrospectively analyzed. From 324 799 original records, 289 949 valid records were included after cleaning. The training set (2019-2022: 215 918 records) included 35 527 records in 2019, 52 015 in 2020, 61 836 in 2021, and 66 540 in 2022. The validation set (2023) contained 74 031 records. ARIMA, linear trend seasonal, exponential smoothing, and Prophet models were fitted to the training set. The LPro ensemble model was constructed using MAPE-based weighting (linear trend seasonal model: 0.38, Prophet: 0.62). Performance metrics included MAPE, RMSE, MAE, and R 2. Results:Data showed annual growth (compound annual growth rate 23.27%) and seasonal patterns (October peaks, February troughs). Ambulance dispatches increased annually with monthly cyclical patterns. For 2023 validation predictions: ARIMA (MAPE 8.76%, RMSE 619, MAE 491, R 2 0.4563), linear trend seasonal (MAPE 9.83%, RMSE 671, MAE 545, R 2 0.3608), Prophet (MAPE 8.43%, RMSE 562, MAE 503, R 2 0.5513), exponential smoothing (MAPE 8.08%, RMSE 643, MAE 410, R 2 0.4124). LPro model showed superior performance (MAPE 7.05%, RMSE 491, MAE 393, R 2 0.6570), with 16.37% lower MAPE, 12.63% lower RMSE, 21.87% lower MAE, and 19.17% higher R 2 versus Prophet. Conclusion:The LPro ensemble model substantially enhances prediction accuracy and reliability, offering scientific support for emergency resource optimization and dispatch scheduling in Handan City.