ObjectiveRetinal vein occlusion （RVO） is the second most common vascular disease leading to vision loss. Since its pathogenesis remains unclear， current Western medical treatments primarily target complications such as macular edema and neovascularization. The main therapeutic approaches include intravitreal injections of anti-vascular endothelial growth factor （VEGF） agents or corticosteroids， laser photocoagulation， and pars plana vitrectomy. However， these treatments cannot fully reverse disease progression or structural damage. Traditional Chinese medicine （TCM） has unique advantages in the clinical diagnosis and treatment of RVO， and integrated Chinese and Western medicine approaches may offer better clinical outcomes. This study， based on the clinical manifestations of RVO， systematically reviews the existing literature and evaluates the alignment of current RVO animal models with clinical manifestations. The aim is to identify the characteristics and limitations of existing models and provide recommendations and prospects for developing RVO animal models featuring the combination of disease and syndrome. MethodsDatabases including CNKI， Wanfang Data， PubMed， and Web of Science were searched with the keywords of "retinal vein occlusion" and "animal model". Model characteristics were assessed based on the diagnostic criteria for diseases and syndromes in both TCM and Western medicine. The alignment of each model with clinical manifestations was analyzed and evaluated. ResultsThe available RVO models were primarily established via methods such as laser photocoagulation， photodynamic therapy， diathermy， intravitreal drug injection， and mechanical modeling. These models demonstrated moderate overall alignment with clinical manifestations， mainly reflecting disease characteristics. However， they generally lack representation of TCM syndrome features. ConclusionExisting RVO models are predominantly based on Western medicine and lack TCM syndrome features. Western medical treatments for RVO have certain limitations， while syndrome differentiation and treatment in TCM offer potential advantages. Future research should focus on developing disease-syndrome integrated animal models that incorporate both pathological features and TCM syndrome characteristics. This approach will enhance the design of RVO models and facilitate both basic and clinical research， which make it a scientifically valuable and necessary endeavor.

ObjectiveRetinal vein occlusion （RVO） is the second most common vascular disease leading to vision loss. Since its pathogenesis remains unclear， current Western medical treatments primarily target complications such as macular edema and neovascularization. The main therapeutic approaches include intravitreal injections of anti-vascular endothelial growth factor （VEGF） agents or corticosteroids， laser photocoagulation， and pars plana vitrectomy. However， these treatments cannot fully reverse disease progression or structural damage. Traditional Chinese medicine （TCM） has unique advantages in the clinical diagnosis and treatment of RVO， and integrated Chinese and Western medicine approaches may offer better clinical outcomes. This study， based on the clinical manifestations of RVO， systematically reviews the existing literature and evaluates the alignment of current RVO animal models with clinical manifestations. The aim is to identify the characteristics and limitations of existing models and provide recommendations and prospects for developing RVO animal models featuring the combination of disease and syndrome. MethodsDatabases including CNKI， Wanfang Data， PubMed， and Web of Science were searched with the keywords of "retinal vein occlusion" and "animal model". Model characteristics were assessed based on the diagnostic criteria for diseases and syndromes in both TCM and Western medicine. The alignment of each model with clinical manifestations was analyzed and evaluated. ResultsThe available RVO models were primarily established via methods such as laser photocoagulation， photodynamic therapy， diathermy， intravitreal drug injection， and mechanical modeling. These models demonstrated moderate overall alignment with clinical manifestations， mainly reflecting disease characteristics. However， they generally lack representation of TCM syndrome features. ConclusionExisting RVO models are predominantly based on Western medicine and lack TCM syndrome features. Western medical treatments for RVO have certain limitations， while syndrome differentiation and treatment in TCM offer potential advantages. Future research should focus on developing disease-syndrome integrated animal models that incorporate both pathological features and TCM syndrome characteristics. This approach will enhance the design of RVO models and facilitate both basic and clinical research， which make it a scientifically valuable and necessary endeavor.

Perineural invasion (PNI) by tumor cells is a key phenotype of highly-invasive oral squamous cell carcinoma (OSCC). Since Schwann cells (SCs) and fibroblasts maintain the physiological homeostasis of the peripheral nervous system, and we have focused on cancer-associated fibroblasts (CAFs) for decades, it's imperative to elucidate the impact of CAFs on SCs in PNI⁺ OSCCs. We describe a disease progression-driven shift of PNI^- towards PNI⁺ during the progression of early-stage OSCC (31%, n = 125) to late-stage OSCC (53%, n = 97), characterized by abundant CAFs and nerve demyelination. CAFs inhibited SC proliferation/migration and reduced neurotrophic factors and myelin in vitro, and this involved up-regulated ER stress and decreased MAPK signals. Moreover, CAFs also aggravated the paralysis of the hind limb and PNI in vivo. Unexpectedly, leukemia inhibitory factor (LIF) was exclusively expressed on CAFs and up-regulated in metastatic OSCC. The LIF inhibitor EC330 restored CAF-induced SC inactivation. Thus, OSCC-derived CAFs inactivate SCs to aggravate nerve injury and PNI development.
Schwann Cells/metabolism* ; Mouth Neoplasms/metabolism* ; Humans ; Cancer-Associated Fibroblasts/metabolism* ; Animals ; Carcinoma, Squamous Cell/metabolism* ; Neoplasm Invasiveness/pathology* ; Male ; Female ; Mice ; Cell Movement/physiology* ; Cell Proliferation/physiology* ; Cell Line, Tumor ; Leukemia Inhibitory Factor/metabolism* ; Middle Aged

Objective: To utilize machine learning(ML) algorithms to develop accurate and effective prediction models for TAC dose/weight-adjusted trough concentration(C0/D). Methods: Data were collected on 264 TAC blood concentration monitoring data from 72 patients undergoing kidney transplantation. The effects of population statistical data, clinical features, combined medication, and ultrasound feature parameters on TAC C0/D were analyzed. Features with a significance level less than 0.05 in the univariate analysis of TAC C0/D were selected for inclusion in the random forest(RF) algorithm to identify significant features. These features were interpreted using partial dependency plots. Five ML algorithms, including RF, support vector regression(SVR), extreme gradient boosting(XGBoost), decision trees(DT) and artificial neural networks(ANN), were employed to establish the TAC C0/D prediction model. Hyper-parameter tuning was performed on the RF model that performed the best. Results : Ten characteristic variables with importance scores>5 were retained and included in the ML model: transglutaminase, red blood cell count, blood urea nitrogen, weight, serum creatinine, renal segmental arterial resistance index, renal aortic resistance index, hematocrit, renal pelvic Young′s modulus value, and time after transplantation. The partial dependence plots showed that all 10 important variables screened were positively correlated with TAC C0/D. The tuned RF model outperformed the other models with aR2of 0.81, aRMSEof 43.93, and aMAEof 29.97. Conclusion The ML models demonstrate good performance in predicting TAC C0/D and provide innovative interpretations using partial dependence plot. The optimized RF model shows optimal performance and offers a novel tool for individualized medication adjustment for TAC in renal transplant patients.

Objective:To comprehensively understand the disease burden of liver cirrhosis and other chronic liver diseases caused by alcohol use in China from 1990 to 2019, as well as to predict the trends in disease burden from 2020 to 2030.Methods:The analysis utilized data from the Global Burden of Disease study in 2019 (GBD2019). Key indicators such as incidence rate, mortality rate, disability-adjusted life years (DALY), years of life lost due to premature mortality, and years lived with disability were selected to describe the disease burden of alcohol-related liver cirrhosis and other chronic liver diseases in China from 1990 to 2019. The estimated annual percentage change (EAPC) was used to depict the temporal trends in disease burden. Furthermore, a Bayesian age-period-cohort (BAPC) model was constructed using R software to predict the age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) of alcohol-related liver cirrhosis and other chronic liver diseases in China from 2020 to 2030.Results:From 1990 to 2019, the incidence of alcohol-related liver cirrhosis and other chronic liver diseases in China showed an upward trend, with an EAPC of 0.31% (95% CI: 0.10%-0.52%). However, the DALY declined, with an EAPC of -2.81% (95% CI: -2.92% - -2.70%). The ASMR showed a downward trend, with an EAPC of -2.55% (95% CI: -2.66% - -2.45%). The highest incidence of cirrhosis of liver caused by alcohol and other chronic liver diseases was reported in the age group of 35-49 years, while the ASMR increased gradually with age, with a significant rise after the age of 30. The age-standardized DALY rate peaked between the ages of 55 and 64. The disease burden indicators for males were consistently higher than those for females during the same period. According to the predictions of the BAPC model, from 2020 to 2030, the ASIR for cirrhosis of liver caused by alcohol and other chronic liver diseases in the entire population of China was projected to increase from 3.45/100 000 in 2020 to 3.78/100 000 in 2030, a growth of 9.57%. Conversely, the ASMR was expected to decrease from 1.45/100 000 in 2020 to 1.24/100 000 in 2030, a reduction of 14.48%. Conclusions:The disease burden of cirrhosis of liver caused by alcohol and other chronic liver diseases remained serious in China, especially in men and the middle-aged to elderly population. There is a pressing need to prioritize attention and resources towards these groups. Despite the projected decrease in ASMR, the ASIR continued to rise and is expected to persist in its upward trend until 2030.

Objective:To examine the burden and trends of acute viral hepatitis in Guangdong Province from 1990 to 2019, and provide reference evidences for hepatitis prevention and control in the province.Methods:Data on acute viral hepatitis (hepatitis A, B, C, and E) in Guangdong from 1990 to 2019 were extracted from the Global Burden of Disease Study 2019 database. The incidence, prevalence, mortality, and disability-adjusted life years (DALY) data were analyzed by age and gender, and the estimated annual percentage change (EAPC) was calculated to describe the changing trends in disease burden.Results:From 1999 to 2019, the standardized incidence, prevalence, mortality, and DALY of acute viral hepatitis in Guangdong were higher than the national averages. In 2019, 51.43% (2 245 087/4 365 221) of acute viral hepatitis cases in Guangdong Province were mainly attributed to hepatitis B, and 77.18% (106/138) of deaths were due to acute hepatitis B. In different age groups, except for acute hepatitis B, which was more common in adults, the incidence rates of other types of viral hepatitis such as hepatitis A, B, and E showed an overall decreasing trend with age. The mortality rates of different types of acute viral hepatitis, except for the <5 age group, increased with age. The overall incidence and mortality rates of acute viral hepatitis were higher in men than in women.Conclusions:The overall burden of acute viral hepatitis in Guangdong declined in 2019, but remained higher than the national level. Further efforts are needed to strengthen hepatitis prevention and screening in different population in Guangdong Province, especially in children and the elderly.

Objective:To analyze the relationship between health belief and the stages of parental decision-making on childhood 13-valent pneumococcal conjugate vaccine (PCV13) immunization in China.Methods:Cross-sectional multistage survey sampling method was used to select study subjects. The study subjects were parents who were aged 20-45 years and had one and more children ≤5 years old in three cities in China. A self-administered questionnaire designed based on health belief model was used to collect the information. Multinomial logistic regression analysis was used to assess the relationships between perceived susceptibility, perceived severity of illness, perceived effect of PCV13 and stages of parental decision-making on childhood PCV13 immunization.Results:A total of 1 716 valid questionnaires were returned (89.33%). The average age of the study subjects was (35.33±4.95) years, and 79.60% of them were women. In the study subjects, 48.31% had in action, 21.79% were in contemplation and 29.90% were in pre-contemplation. The multinominal logistic regression analysis indicated that high perceived susceptibility ( OR=0.14, 95% CI:0.09-0.22; OR=0.54, 95% CI:0.39-0.76), high perceived severity of illness ( OR=0.55, 95% CI:0.42-0.73), and high perceived effect of PCV13 ( OR=0.27, 95% CI:0.18-0.40; OR=0.51, 95% CI:0.32-0.81) were significantly lower in those who were in contemplation or pre-compared with those who had in action. For study subjects with low perceived susceptibility, high perceived effect of PCV13 might decrease the probabilities of contemplation ( OR=0.53, 95% CI:0.32-0.87) and pre-contemplation ( OR=0.27, 95% CI:0.18-0.41). For those with high perceived susceptibility, perceived severity of illness might decrease the probability of contemplation ( OR=0.43, 95% CI:0.23-0.82). Conclusions:Childhood PCV13 vaccination willingness and level is low in China. It is important to pay greater attention to the intervention on health belief in child parents, such as perceived effect of PCV13, perceived severity of illness, and perceived susceptibility, in health policy development and health promotion.

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 compare and explore the diagnostic performance of adding value of transabdominal and transvaginal contrast-enhanced ultrasound (CEUS) to Ovarian-Adnexal Reporting and Data System (O-RADS US) risk stratification and management system in differential diagnosis of adnexal masses.Methods:A total of 180 adnexal masses with solid components in 175 women were enrolled retrospectively between September 2021 and November 2022. All patients underwent routine Doppler ultrasound examinations and CEUS examinations. Among these masses, 107 masses underwent with transabdominal CEUS, 58 masses underwent with transvaginal CEUS, and 15 masses underwent both transvaginal and transabdominal CEUS. All patients were scheduled for surgery and pathological results served as the reference standard. Routine Doppler ultrasound and CEUS images and video were reviewed by a subspecialty radiologist using Vuebox software. The O-RADS US was downgraded or upgraded according to the CEUS characteristics of the masses. The diagnostic accuracy was assessed using ROC curve analysis. The area under the ROC curve (AUC) was calculated to compare the diagnostic performance of adding value of transabdominal and transvaginal CEUS to O-RADS US.Results:The diagnostic performance of adding transabdominal and transvaginal CEUS to O-RADS US were both significantly higher than of O-RADS US alone (transabdominal CEUS: AUC 0.83 vs 0.76, P=0.018; transvaginal CEUS: AUC 0.92 vs 0.81, P=0.013). Combination of transvaginal CEUS and O-RADS US was superior to that of combination of transabdominal and O-RADS US in the differential diagnosis of adnexal masses ( P=0.047). When the maximal diameter of adnexal masses ≤40 mm, transabdominal combined with O-RADS US presented the lowest diagnostic performance, with an AUC of 0.73. Conclusions:Combination of transvaginal CEUS and O-RADS US was superior to that of combination of transabdominal and O-RADS US in assessing adnexal masses with solid components. When the maximal diameter of adnexal masses ≤40 mm, transvaginal CEUS examination was recommended.

Objective:To investigate the effects of radiation dose to the host immune system during radiotherapy on disease progression and survival in patients with peripheral early-stage non-small cell lung cancer (ES-NSCLC) receiving stereotactic body radiation therapy (SBRT).Methods:Clinical data of pathologically confirmed ES-NSCLC patients who were treated with SBRT at Tianjin Medical University Cancer Institute and Hospital between January 2007 and December 2020 were retrospectively analyzed. The prognostic significance of the estimated dose of radiation to immune cells (EDRIC) in ES-NSCLC patients undergoing SBRT was cited and validated. EDRIC was calculated using the model developed by Kong et al. and improved by Ladbury et al. Kaplan-Meier method and Cox proportional hazards regression were adopted to estimate cancer-specific survival (CSS), progression-free survival (PFS), local progression-free survival (LPFS), and distant metastasis-free survival (DMFS). Pearson's correlation was used to assess the correlation between variables. Results:The median prescription dose/fraction was 60 Gy/5 fractions (range: 48-60 Gy in 3-10 fractions). The median follow-up time was 52.17 (1.17-154.77) months. The median gross tumor volume (GTV) and EDRIC were 10.98 (0.91-120.34) cm 3 and 2.064 (0.426-6.015) Gy, respectively. Person's correlation analysis showed that GTV was positively correlated with EDRIC ( r=0.712, P<0.001). In multivariate analysis, EDRIC was an important prognostic variable of CSS and DMFS. Higher EDRIC was significantly associated with worse CSS ( HR=1.763, P=0.004) and DMFS ( HR=1.902, P=0.004). Compared to patients with EDRIC ≤ 1.56 Gy, those with EDRIC > 2.64 Gy and EDRIC between <2.06-2.64 Gy exhibited significantly lower CSS ( P<0.001, P=0.049). There were significant differences in DMFS among the groups divided by quartiles of EDRIC (compared to EDRIC ≤1.56 Gy, the P values were <0.001, 0.004, and 0.022 respectively). Conclusions:EDRIC is an important predictor of CSS and DMFS in ES-NSCLC patients treated with SBRT, suggesting that radiation dose to the immune system is a critical determinant of treatment outcomes. EDRIC can be used to quantify the effects of radiation therapy on the host immune system.