BACKGROUND: The use of potentially inappropriate medications (PIMs) is a major concern for medication safety as it may entail more harm than potential benefits for older adults. This study aimed to explore the prescribing rate, healthcare utilization, and expenditure of older adults using PIMs in China. METHODS: A cross-sectional analysis was conducted using a national representative database of all medical insurance beneficiaries across China, extracting ambulatory visit records of adults aged 65 years and above between 2015 and 2017. Descriptive analysis was conducted to measure the rate of patients exposed to PIM, prescribing rate of each PIM, average annual outpatient visits per patient, average total medication costs for each visit, average annual cost of PIMs for each patient, and average annual medication costs for each patient. Generalized linear model with logit link function and binomial distribution was used to examine the adjusted associations between PIMs and independent variables. RESULTS: In total, 845,278 (33.2%) participants were identified to be exposed to at least one PIM. Patients aged 75-84 years (38.1%, 969,809/2,545,430) and ≥85 years (37.9%, 964,718/2,545,430) were more likely to be prescribed with PIMs. Beneficiaries of the Urban Employee Basic Medical Insurance (UEBMI) and living in eastern and southern regions were more frequently prescribed with PIMs. Compared with patients without PIM exposure (7.5 visits, drug cost of RMB 1545.0 Yuan), patients with PIM exposure showed higher adjusted average annual number of outpatient visits (10.7 visits, β = 3.228, 95% confidence interval [CI] = 3.196-3.261) and higher annual drug costs (RMB 2461.8 Yuan, Coef. = 916.864, 95% CI = RMB 906.292-927.436 Yuan). CONCLUSIONS The results showed that the use of PIM among older adults was common in China. This study suggests that the use of PIM could be considered as a clear target, pending multidimensional efforts, to promote rational prescribing for older adults.
Humans ; Aged ; Cross-Sectional Studies ; Aged, 80 and over ; Male ; Female ; China ; Inappropriate Prescribing/economics* ; Patient Acceptance of Health Care/statistics & numerical data* ; Potentially Inappropriate Medication List/statistics & numerical data* ; Health Expenditures/statistics & numerical data*

Following the release of the Technical Requirements on Quality Control and Standard Establishment of Traditional Chinese Medicine Formula Granules by the National Medical Products Administration in 2021, Chinese Pharmacopoeia Commission has promulgated 296 national drug standards so far, and most provinces have started the work of establishing provincial standards as supplements. The promulgation of standards fostered high-quality development of the industry. Since the implementation of national and provincial standards for more than three years, enterprises have gained deep understanding and hands-on experiences on the characteristics, technical requirements, production process, and quality control of traditional Chinese medicine(TCM) formula granules. Meanwhile, challenges have emerged restricting the high-quality development of this industry, including how to formulate quality control strategies for medicinal materials and decoction pieces, how to reduce manufacturing costs, and how to improve the pass rate and product stability under high standards. Based on the work experiences from standard management and process research, this article analyzed the distribution of sources, processing methods, dry extract rate ranges, process requirements for volatile oil-containing decoction pieces, control measures of safety indices, characteristics and trends of setting characteristic chromatograms or fingerprints, characteristics and trends of setting content ranges, and main differences between national standards and provincial standards. On the one hand, this article aims to present main characteristics for deeply understanding different indicators in standards and provide basic ideas for establishing quality and process control systems. On the other hand, from the perspective of industrial practice, suggestions are put forward on the important aspects that need to be focused on in the quality and process control of TCM formula granules.
Drugs, Chinese Herbal/chemistry* ; Quality Control ; Medicine, Chinese Traditional/standards* ; China ; Drug Industry/standards*

PURPOSE: To investigate the incidence and influencing factors of bone loss in patients with spinal cord injury (SCI). METHODS: A retrospective case-control study was conducted. Patients with SCI in our hospital from January 2019 to March 2023 were collected. According to the correlation between bone mineral density (BMD) at different sites, the patients were divided into the lumbar spine group and the hip joint group. According to the BMD value, the patients were divided into the normal bone mass group (t > -1.0 standard deviation) and the osteopenia group (t ≤ -1.0 standard deviation). The influencing factors accumulated as follows: gender, age, height, weight, cause of injury, injury segment, injury degree, time after injury, start time of rehabilitation, motor score, sensory score, spasticity, serum value of alkaline phosphatase, calcium, and phosphorus. The trend chart was drawn and the influencing factors were analyzed. SPSS 26.0 was used for statistical analysis. Correlation analysis was used to test the correlation between the BMD values of the lumbar spine and bilateral hips. Binary logistic regression analysis was used to explore the influencing factors of osteoporosis after SCI. p < 0.05 was considered statistically significant. RESULTS: The incidence of bone loss in patients with SCI was 66.3%. There was a low concordance between bone loss in the lumbar spine and the hip, and the hip was particularly susceptible to bone loss after SCI, with an upward trend in incidence (36% - 82%). In this study, patients with SCI were divided into the lumbar spine group (n = 100) and the hip group (n = 185) according to the BMD values of different sites. Then, the lumbar spine group was divided into the normal bone mass group (n = 53) and the osteopenia group (n = 47); the hip joint group was divided into the normal bone mass group (n = 83) and the osteopenia group (n = 102). Of these, lumbar bone loss after SCI is correlated with gender and weight (p = 0.032 and < 0.001, respectively), and hip bone loss is correlated with gender, height, weight, and time since injury (p < 0.001, p = 0.015, 0.009, and 0.012, respectively). CONCLUSIONS The incidence of bone loss after SCI was high, especially in the hip. The incidence and influencing factors of bone loss in the lumbar spine and hip were different. Patients with SCI who are male, low height, lightweight, and long time after injury were more likely to have bone loss.
Humans ; Spinal Cord Injuries/complications* ; Male ; Female ; Retrospective Studies ; Incidence ; Adult ; Bone Density ; Middle Aged ; Case-Control Studies ; Osteoporosis/etiology* ; Lumbar Vertebrae ; Bone Diseases, Metabolic/etiology* ; Aged ; Risk Factors

OBJECTIVE: To investigate the effect of zedoarondiol on neovascularization of atherosclerotic (AS) plaque by exosomes experiment. METHODS: ApoE^-/- mice were fed with high-fat diet to establish AS model and treated with high- and low-dose (10, 5 mg/kg daily) of zedoarondiol, respectively. After 14 weeks, the expressions of anti-angiogenic protein thrombospondin 1 (THBS-1) and its receptor CD36 in plaques, as well as platelet activation rate and exosome-derived miR-let-7a were detected. Then, zedoarondiol was used to intervene in platelets in vitro, and miR-let-7a was detected in platelet-derived exosomes (Pexo). Finally, human umbilical vein endothelial cells (HUVECs) were transfected with miR-let-7a mimics and treated with Pexo to observe the effect of miR-let-7a in Pexo on tube formation. RESULTS: Animal experiments showed that after treating with zedoarondiol, the neovascularization density in plaques of AS mice was significantly reduced, THBS-1 and CD36 increased, the platelet activation rate was markedly reduced, and the miR-let-7a level in Pexo was reduced (P<0.01). In vitro experiments, the platelet activation rate and miR-let-7a levels in Pexo were significantly reduced after zedoarondiol's intervention. Cell experiments showed that after Pexo's intervention, the tube length increased, and the transfection of miR-let-7a minics further increased the tube length of cells, while reducing the expressions of THBS-1 and CD36. CONCLUSION Zedoarondiol has the effect of inhibiting neovascularization within plaque in AS mice, and its mechanism may be potentially related to inhibiting platelet activation and reducing the Pexo-derived miRNA-let-7a level.
Animals ; MicroRNAs/genetics* ; Exosomes/drug effects* ; Plaque, Atherosclerotic/genetics* ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; Humans ; Blood Platelets/drug effects* ; Apolipoproteins E/deficiency* ; Thrombospondin 1/metabolism* ; CD36 Antigens/metabolism* ; Platelet Activation/drug effects* ; Male ; Mice ; Mice, Inbred C57BL

Objective To investigate the differentially expressed genes(DEGs)and their molecular interactions in unstable carotid atherosclerotic plaques.Methods Gene expression datasets related to carotid atherosclerotic plaques(GSE41571,GSE118481,and E-MTAB-2055)were downloaded from Gene Expression Omnibus(GEO)and European Bioinformatics Institute(EBI)ArrayExpress databases.The co-regulated DEGs in at least two datasets of unstable carotid plaques were merged and analyzed using Gene Ontology Biological Process(GO-BP),Kyoto Encyclopedia of Genes and Genomes(KEGG),Protein-Protein Interaction(PPI)Networks and subnetwork analysis,relationships between miRNAs/transcription factors and target genes,and drug-gene interaction database.Quantitative real-time PCR(qRT-PCR)and enzyme-linked immunosorbent assay(ELISA)were used to detect the expression levels of some DEGs in carotid plaques and plasma from 58 patients with carotid atherosclerosis.Results GO enrichment analysis showed that DEGs in unstable carotid atherosclerotic plaques were mainly enriched in genes related to inflammatory response and extracellular matrix structure genes.KEGG enrichment analysis indicated that upregulated DEGs in unstable carotid plaques were enriched in extracellular matrix receptor(ECM-receptor)interaction,PI3K-Akt,Hippo and transforming growth factor-β(TGF-β)signaling pathways,while downregulated DEGs were primarily enriched in lysosomes,phagosomes,and chemokines processes.PPI network analysis suggested that COL1A2,COL4A2,insulin-like growth factor binding protein 6(IGFBP6),COL4A5,C1QA,CXCL10,CXCL2,CXCR4,and CSF1R may play important roles in PPI networks.Prediction of drug-gene interactions revealed that CSF1R had the most drug interaction,CXCL2 was most antagonized by drugs,and IGFBP6 was most activated by drugs.qRT-PCR showed that the expression level of IGFBP6 in unstable carotid plaques group was significantly lower than that in stable carotid plaques group(P<0.001).ELISA results showed that plasma concentration of IGFBP6 in unstable carotid plaques group was significantly lower than that in stable carotid plaques group(P<0.0001).Receiver operating characteristic(ROC)suggested that the area under the curve(AUC)for plasma IGFBP6 levels to identify unstable plaques was 0.894(95%CI 0.810-0.977),with a cutoff value of 142.08 ng/ml.Conclusion IGFBP6 may become an important biomarker for predicting unstable carotid atherosclerotic plaques.

Purpose::The toughest challenge in pedestrian traffic accident identification lies in ascertaining injury manners. This study aimed to systematically simulate and parameterize 3 types of craniocerebral injury including impact injury, fall injury, and run-over injury, to compare the injury response outcomes of different injury manners.Methods::Based on the total human model for safety (THUMS) and its enhanced human model THUMS-hollow structures, a total of 84 simulations with 3 injury manners, different loading directions, and loading velocities were conducted. Von Mises stress, intracranial pressure, maximum principal strain, cumulative strain damage measure, shear stress, and cranial strain were employed to analyze the injury response of all areas of the brain. To examine the association between injury conditions and injury consequences, correlation analysis, principal component analysis, linear regression, and stepwise linear regression were utilized.Results::There is a significant correlation observed between each criterion of skull and brain injury ( p < 0.01 in all Pearson correlation analysis results). A 2-phase increase of cranio-cerebral stress and strain as impact speed increases. In high-speed impact (> 40 km/h), the Von Mises stress on the skull was with a high possibility exceed the threshold for skull fracture (100 MPa). When falling and making temporal and occipital contact with the ground, the opposite side of the impacted area experiences higher frequency stress concentration than contact at other conditions. Run-over injuries tend to have a more comprehensive craniocerebral injury, with greater overall deformation due to more adequate kinetic energy conduction. The mean value of maximum principal strain of brain and Von Mises stress of cranium at run-over condition are 1.39 and 403.8 MPa, while they were 1.31, 94.11 MPa and 0.64, 120.5 MPa for the impact and fall conditions, respectively. The impact velocity also plays a significant role in craniocerebral injury in impact and fall loading conditions (the p of all F-test < 0.05). A regression equation of the craniocerebral injury manners in pedestrian accidents was established. Conclusion::The study distinguished the craniocerebral injuries caused in different manners, elucidated the biomechanical mechanisms of craniocerebral injury, and provided a biomechanical foundation for the identification of craniocerebral injury in legal contexts.

Objective To investigate the expression of CD123 in children with acute lymphoblastic leukemia(ALL)and its effect on the clinical characteristics and prognosis of children with B-lineage acute lymphoblastic leukemia(B-ALL).Methods A retrospective analysis was conducted on the clinical data of 251 children with ALL who were admitted to the Department of Hematology and Oncology,Children's Hospital of Kunming Medical University,from December 2019 to June 2022.According to the expression of CD123 at initial diagnosis,the children were divided into CD123+group and CD123-group,and the two groups were compared in terms of clinical characteristics and treatment outcome.The factors influencing the prognosis were analyzed.Results Among the 251 children with ALL,there were 146 children(58.2%)in the CD123+group.The B-ALL group had a significantly higher positive expression rate of CD123 than the acute T lymphocyte leukemia group(P<0.05).Compared with the CD123-group,the CD123+group had significantly lower peripheral blood leukocyte count and percentage of juvenile cells and a significantly higher proportion of children with high hyperdiploid karyotype or an age of 1-10 years,with a relatively low proportion of children with E2A-PBX1 fusion gene(P<0.05).The multivariate Cox proportional-hazards regression model analysis showed that compared with the>10 years group,the 1-10 years group had a significantly higher overall survival rate(P<0.05),and compared with the high risk group,the moderate risk group had a significantly higher event-free survival rate in children with B-ALL(P<0.05).Conclusions CD123 is widely expressed in children with B-ALL,and positive expression of CD123 might be an indicator for good prognosis in children with B-ALL,which is of great significance for evaluating the efficacy of remission induction therapy and survival prognosis of children with B-ALL.

ObjectiveTo introduce the basic design， development plan and objectives of a population-based birth cohort in Shanghai， and further present the main data and baseline characteristics of enrolled participants in the cohort， and to provide key information for reproductive health-related studies. MethodsThe Shanghai population-based birth cohort initiated on January 1， 2005， included newborns born in Shanghai every year and their parents， and collected information on reproductive health， reproductive treatment， birth characteristics， growth and development status， as well as the incidence， treatment and death of diseases by employing data linkage technology and investigations. This formed a birth cohort spanning the entire life cycle. ResultsAs of October 2022， a total of 2 978 538 newborns and their parents were included in the cohort. Among them， 2 905 135 （97.54%） were naturally conceived （NC）， and 73 403 （2.46%） were born through assisted reproductive technologies （ART）. The average age of parents was （32.56±4.12） years old for females and （34.62±5.34） years old for males in the ART group， which was higher than （28.02±4.71） years and （30.07±5.54） years for parents in the NC group. Among parents， females and males aged 30 and above accounted for 77.12% and 85.08%， respectively， which were higher than that of parents （35.28% for females and 49.66% for males） in the NC group. Furthermore， the percentage of parents with a college degree or above in the ART group was 73.23% for females and 73.66% for males， which were higher than those in the NC group （49.98% and 50.91%， respectively）. The multiple births rate in the ART group was 33.81%， which was higher than that in the NC group （1.88%）. The incidence of premature birth and low birth weight in the ART group were 24.47% and 19.08%， respectively， which was higher than that in the NC group （5.47% and 3.73%）. ConclusionThe comprehensive collection of reproductive health-related information in the birth cohort in Shanghai can provide essential resources to determine the influence of genetics， environment， reproductive treatment and other related factors on the health of offspring after birth.

Objective:To develop a deep learning architecture based on 3D Transformers to predict dose distribution within intensity modulated radiation therapy (IMRT) plans for lung cancer.Methods:Clinical data of 174 lung cancer patients treated with IMRT in Chongqing University Cancer Hospital between January 2020 and December 2022 were retrospectively analyzed. All patients were divided into the training ( n=116), validation ( n=29), and test ( n=29) sets. We employed the Swin Unet Transformer (Swin Unetr) model to predict the three-dimensional dose distribution. The model was trained using computed tomography (CT) images, planning target volume (PTV) images, organs at risk (OAR) images, beam configuration information images, and distance images. We used various evaluation metrics such as mean absolute errors (MAE), Dice similarity coefficients (DSC), and dose volume histogram (DVH) dosimetric parameters to assess the performance of Swin Unetr and compared it with three mainstream deep learning models: CGAN, ResSEUnet, and ResUnet. Results:The MAE of the dose distribution prediction by Swin Unetr was recorded at 0.0143±0.0055. Conversely, the values of CGAN, ResSEUnet, and ResUnet were 0.0162±0.0055, 0.0167±0.0063, and 0.0164±0.0057, respectively. Furthermore, Swin Unetr achieved the highest DSC values (>0.85) across all isodose volumes. Regarding DVH dosimetric parameters, excluding D 2% of PTV and D mean of the heart, Swin Unetr exhibited no statistically significant differences in the remaining DVH dosimetric parameters (all P>0.05), demonstrating the best evaluation results in 66.67% of the overall dosimetric parameters and 75% of the PTV dosimetric parameters. Conclusions:Swin Unetr achieves the best score in multiple dosimetric evaluation indicators, and the highest DSC across all isodose volumes. Swin Unetr has significantly improved the accuracy of three-dimensional dose prediction during IMRT for lung cancer.

Objective To investigate the expressions of 12 cytokines(IL-1β,IL-2,IL-4,IL-5,IL-6,IL-8,IL-10,IL-12p70,IL-17,IFN-α,IFN-γ,TNF-α)and procalcitonin in patients with infective endocarditis(IE).Methods Ten IE patients admitted to our hospital from December 2021 to December 2022 were included into the IE group,10 patients with non-infectious and non-rheumatic valvular diseases who were admitted to our hospital at the same period were randomly selected as the control group,and blood sampling of all patients were conducted at admission.The expressions of 12 cytokines and blood routine indexes were detected by flow cytometry,and the level of procalcitonin was detected by ELISA.The correlations among the expression levels of cytokines in IE patients were analyzed by Pearson method and the correlations of IL-8 level and white blood cell count with procalcitonin in IE patients were analyzed by Spearman method.Results Compared with the control group,the levels of cytokines of IL-1β,IL-2,IL-6,IL-10,TNF-α,IFN-α,IFN-γ and IL-12p70 in the IE group were significantly increased(P<0.05),the white blood cell count,neutrophil percentage and procalcitonin were significantly increased(P<0.05).There was no significant difference in the percentage of monocytes between the two groups(P>0.05).IFN-α of IE patients was positively correlated with IL-2,TNF-α,IL-1β and IL-12p70,IL-2 was positively correlated with TNF-α and IL-1β,IL-12p70 was positively correlated with IFN-γ,and procalcitonin was significantly positively correlated with IL-8 and white blood cell count,with statistically significant differences(P<0.05).Conclusion The levels of IL-1β,IL-2,IL-6,IL-10,TNF-α,IFN-α,IFN-γ,IL-12p70 and procalcitonin in IE patients are significantly higher than those in the normal population,and the detections of these indicators are of guiding significance for the early diagnosis of IE and the evaluation of the severity of the disease.