To investigate the clinical features and peripheral blood immune cell subsets ofelderly (≥60 years old) onset rheumatoid arthritis (EORA) patients.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Objective To explore the efficacy and safety of evolocumab in elderly patients with high-risk cardiovascular diseases.Methods A total of 153 patients with poor lipid control after conventional statin therapy who were hospitalized in the cardiologic departments in the First,Sec-ond,Sixth and Eighth Medical Centers of Chinese PLA General Hospital from November 2019 to November 2022 were included,and divided into non-elderly group(＜60 years old,46 cases),eld-erly group(60-74 years old,66 case)and very elderly group(≥75 years old,41 cases).They were all given evolocumab treatment according to guidelines.Another 50 over-75-year-old patients with high-risk cardiovascular diseases and poor lipid control who were hospitalized in the above cardiologic departments during the same period were treated with a statin drug combined with ezetimibe,and served as conventional treatment group(control group).The baseline clinical data and the blood indicators at 4th and 12th week after drug administration,and the occurrence of ad-verse drug reactions and major adverse cardiovascular events(MACE)within 12 weeks were com-pared among the groups.Results The levels of LDL-C and TC were significantly decreased in the three evolocumab treatment groups at 4 and 12 weeks after medication when compared with the baseline values(P＜0.05,P＜0.01),but there were no obvious differences in the 2 levels among the 3 groups at 12 weeks(P＞0.05).At the time point,no statistical difference was observed in the incidence of adverse events in the three groups(2.2％vs 3.0％vs 2.4％,P＞0.05).The levels of LDL-C and TC were decreased significantly in the very elderly group and the conventional treatment group at the 12th week when compared with the baseline levels(P＜0.05,P＜0.01),and the LDL-C level at the week was notably lower in the very elderly group than the convention-al treatment group(1.36±0.44 mmol/L vs 1.87±0.56 mmol/L,P＜0.01).But no difference was seen in the incidence of MACE between the 2 groups(12.2％vs 16.0％,P＞0.05),either in sur-vival rate between them(P=0.576).Conclusion For patients of all ages,evolocumab has good short-term efficacy in lipid control,and for those over 75 years old,the drug also shows good effi-cacy and sound safety.

Invasive fungal infections threaten the lives and health of humans, especially immunodeficient patients or hospitalized patients with serious underlying diseases, and impose a heavy economic burden on society. The emergence of drug-resistant fungi, the formation of biofilms, and the limits and side effects of existing antifungal drugs increase the difficulty of clinical treatment, and there is an urgent need for the development of novel antifungal drugs. Therefore, based on previous kinase chemical library antifungal activity screening studies, this paper further investigates the activity of anaplastic lymphoma kinase (ALK) inhibitor 3-[5-chloro-2-({2-methoxy-4-[4-(4-methylpiperazin-1-yl)hexahydropyridin-1-yl]phenyl}amino)pyrimidin-4-yl]-1H-indole (HG-14-10-04, HG) against various fungi and elucidates its mechanism of action. The in vitro antifungal activity of HG was evaluated by micro liquid-dilution method, time-killing curve, mycelium formation and biofilm formation assays. The results showed that HG exhibited inhibitory and even fungicidal effects against sensitive and resistant Candida albicans, Candida krusei, Cryptococcus neoformans, Candida tropicalis, Candida glabrata and Candida parapsilosis (MICs = 8-16 μg·mL^-1); HG significantly inhibited the mycelium and biofilm formation, and destroyed the mature biofilm; and it exhibited synergistic antifungal effects with amphotericin B. The antifungal mechanism of HG was investigated by flow cytometry and transmission electron microscopy, etc. Sequencing analysis showed a total of 1 041 differentially expressed genes, of which 666 were up-regulated and 375 were down-regulated. According to the GO functional classification results, the up-regulated genes were mainly involved in ribosome production, oxidation-reduction and other functions, while the down-regulated genes were mainly involved in the synthesis of carbohydrate, glycoproteins, glycolipids and their metabolism, GPI anchor synthesis, and cytoskeleton and other functions. In addition, HG could significantly increase the level of reactive oxygen species (ROS), induce the fungal necrosis, block the cell cycle at the G0/G1 phase, and change the ultrastructure of the fungi, especially the structure of the fungal cell wall. Therefore, the enhanced inhibitory and fungicidal activity of HG may be related to the elevation of ROS, alteration of cellular ultrastructure (especially cell wall structure) and cell cycle arrest at the G0/G1 phase. Further optimization of its structure will provide a basis for the discovery of novel antifungal drugs or lead compounds.

Background: Triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) are reliable surrogate indices of insulin resistance and used for risk stratification and outcome prediction in patients with atherosclerotic cardiovascular disease (ASCVD). Here, we inserted estimated average glucose (eAG) into the TyG (TyAG) and TyG-BMI (TyAG-BMI) as derived parameters and explored their clinical significance in cardiovascular risk prediction. Methods: This was a population-based cohort study of 9,944 Chinese patients with ASCVD. The baseline admission fasting glucose and A1C-derived eAG values were recorded. Cardiovascular events (CVEs) that occurred during an average of 38.5 months of follow-up were recorded. We stratified the patients into four groups by quartiles of the parameters. Baseline data and outcomes were analyzed. Results: Distribution of the TyAG and TyAG-BMI indices shifted slightly toward higher values (the right side) compared with TyG and TyG-BMI, respectively. The baseline levels of cardiovascular risk factors and coronary severity increased with quartile of TyG, TyAG, TyG-BMI, and TyAG-BMI (all P<0.001). The multivariate-adjusted hazard ratios for CVEs when the highest and lowest quartiles were compared from low to high were 1.02 (95% confidence interval [CI], 0.77 to 1.36; TyG), 1.29 (95% CI, 0.97 to 1.73; TyAG), 1.59 (95% CI, 1.01 to 2.58; TyG-BMI), and 1.91 (95% CI, 1.16 to 3.15; TyAG-BMI). The latter two showed statistical significance. Conclusion This study suggests that TyAG and TyAG-BMI exhibit more information than TyG and TyG-BMI in disease progression among patients with ASCVD. The TyAG-BMI index provided better predictive performance for CVEs than other parameters.

Background: Triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) are reliable surrogate indices of insulin resistance and used for risk stratification and outcome prediction in patients with atherosclerotic cardiovascular disease (ASCVD). Here, we inserted estimated average glucose (eAG) into the TyG (TyAG) and TyG-BMI (TyAG-BMI) as derived parameters and explored their clinical significance in cardiovascular risk prediction. Methods: This was a population-based cohort study of 9,944 Chinese patients with ASCVD. The baseline admission fasting glucose and A1C-derived eAG values were recorded. Cardiovascular events (CVEs) that occurred during an average of 38.5 months of follow-up were recorded. We stratified the patients into four groups by quartiles of the parameters. Baseline data and outcomes were analyzed. Results: Distribution of the TyAG and TyAG-BMI indices shifted slightly toward higher values (the right side) compared with TyG and TyG-BMI, respectively. The baseline levels of cardiovascular risk factors and coronary severity increased with quartile of TyG, TyAG, TyG-BMI, and TyAG-BMI (all P<0.001). The multivariate-adjusted hazard ratios for CVEs when the highest and lowest quartiles were compared from low to high were 1.02 (95% confidence interval [CI], 0.77 to 1.36; TyG), 1.29 (95% CI, 0.97 to 1.73; TyAG), 1.59 (95% CI, 1.01 to 2.58; TyG-BMI), and 1.91 (95% CI, 1.16 to 3.15; TyAG-BMI). The latter two showed statistical significance. Conclusion This study suggests that TyAG and TyAG-BMI exhibit more information than TyG and TyG-BMI in disease progression among patients with ASCVD. The TyAG-BMI index provided better predictive performance for CVEs than other parameters.

Background: Triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) are reliable surrogate indices of insulin resistance and used for risk stratification and outcome prediction in patients with atherosclerotic cardiovascular disease (ASCVD). Here, we inserted estimated average glucose (eAG) into the TyG (TyAG) and TyG-BMI (TyAG-BMI) as derived parameters and explored their clinical significance in cardiovascular risk prediction. Methods: This was a population-based cohort study of 9,944 Chinese patients with ASCVD. The baseline admission fasting glucose and A1C-derived eAG values were recorded. Cardiovascular events (CVEs) that occurred during an average of 38.5 months of follow-up were recorded. We stratified the patients into four groups by quartiles of the parameters. Baseline data and outcomes were analyzed. Results: Distribution of the TyAG and TyAG-BMI indices shifted slightly toward higher values (the right side) compared with TyG and TyG-BMI, respectively. The baseline levels of cardiovascular risk factors and coronary severity increased with quartile of TyG, TyAG, TyG-BMI, and TyAG-BMI (all P<0.001). The multivariate-adjusted hazard ratios for CVEs when the highest and lowest quartiles were compared from low to high were 1.02 (95% confidence interval [CI], 0.77 to 1.36; TyG), 1.29 (95% CI, 0.97 to 1.73; TyAG), 1.59 (95% CI, 1.01 to 2.58; TyG-BMI), and 1.91 (95% CI, 1.16 to 3.15; TyAG-BMI). The latter two showed statistical significance. Conclusion This study suggests that TyAG and TyAG-BMI exhibit more information than TyG and TyG-BMI in disease progression among patients with ASCVD. The TyAG-BMI index provided better predictive performance for CVEs than other parameters.

Objective:To explore the collaborative innovation development mechanism of hospitals and research institutes, fully integrate the institute personnel with hospitals, and conduct classified management and performance appraisal, promoting the integrated development of hospitals and research institutes.Methods:The idea of personnel classification, the establishment of an integrated research team, and technical team groupings and service directions were determined through key informant interviews, research ability and technical strength surveys, and other research methods; The performance appraisal scheme of research teams were established by using literature analysis and optimization and Delphi expert investigation; The platform team assessment programs were established by qualitative research methods.Results:Built a position setting framework for research institutes, formed hospital-institute integrated research teams around the hospital's clinical advantageous disciplines with researchers and clinical staff, set up platform teams based on existing equipment and technicians′ specialties, established a performance appraisal scheme for research teams based on Science and Technology Evaluation Metrics(STEM), determined a full-dimensional comprehensive performance evaluation scheme for the technology platforms based on service volume and quality.Conclusions:This study formulated a set of position setting and performance evaluation schemes that fit with the current situation of municipal research institutes, and explored a new scientific research cooperation mechanism of resource sharing, team co-construction, and technology sharing, which can provide a certain reference value for the reform of other medical research institutes.