Objective To compare the cost and utility of aflibercept and ranibizumab in the treatment of diabetic macular edema(DME),in order to provide a reference for the selection of treatment regimens from the perspective of pharmacoeconomics.Methods The Markov model was established by extracting the clinical medication patterns,the survival status of the two treatment regimens within 10 years were simulated,the cost and health utilities were calculated respectively,and the incremental cost-utility ratio(ICUR)was obtained.Compared with the 2022 per capita gross domestic product(GDP)of China,which was 1 time,as the willingness to pay(WTP),the cost-utility advantage scheme was selected.Results During the simulation period,the ICUR of aflibercept compared with ranibizumab was 61 024.22 yuan/quality-adjusted life year(QALY),which was lower than that of WTP,which had obvious economic benefits.Univariate sensitivity analysis showed that the metastasis probability of visual acuity improvement with aflibercept and the number of ranibizumab injections per year were important influencing factors for ICUR.Probabilistic sensitivity analysis showed that when WTP was 1 time of the GDP,aflibercept had a significant cost-utility advantage,the economic probability was 63.7%,and the results were relatively stable.Conclusion For the treatment of DME,aflibercept has a cost-utility advantage over ranibizumab.

Abstract Allergic diseases can occur in all systems of the body, covering the whole life cycle, from children to adults and to old age, can be lifelong onset and even fatal in severe cases. Children account for the largest proportion of the victims of allergic disease, Children s allergies start from scratch, ranging from mild to severe, from less to more, from single to multiple systems and systemic performance, so the prevention and treatment of allergic diseases in children is of great importance, which can not only prevent high risk allergic conditions from developing into allergic diseases, but also further block the process of allergy. At present, there is no consensus on the management system of allergic children in kindergartens and primary schools. The "Consensus on Allergy Management and Prevention in Kindergartens and Primary Schools", which includes the organizational structure, system construction and management of allergic children, provides evidence informed recommendations for the long term comprehensive management of allergic children in kindergartens and primary schools, and provides a basis for the establishment of the prevention system for allergic children.

In recent years, modeling and simulation technology based on pharmacometrics has received increasing attention in the development of innovation drugs. In August of 2021, FDA issued a guidance named Pharmacokinetic-Based Criteria for Supporting Alternative Dosing Regimens of Programmed Cell Death Receptor-1 (PD-1) or Programmed Cell Death-Ligand 1 (PD-L1) Blocking Antibodies for Treatment of Patients with Cancer Guidance for Industry, claiming the necessity of using population PK-based simulation method for the optimization of dosing regimens, and the corresponding implementation standards. This article first summarized the existing therapeutic regimens of PD-1/PD-L1 blocking antibodies in clinic as well as the main content of the guidance, and then cited some actual examples where population PK-based simulation method did contribute to the approval of the alternative dosing regimens. Besides, some critical considerations for the dosing regimen optimization of PD-1/PD-L1 blocking antibodies were also analyzed. In our view, this guidance would have positive impacts on the development of PD-1/PD-L1 blocking antibodies in the future. We hope that this article may provide some references for the colleagues in China.

Objective:To investigate the correlation between serum insulin-like growth factor 1 (IGF-1), thyroid stimulating hormone (TSH), degree of insulin resistance and thyroid nodule imaging reporting and data system (TI-RADS) grading in patients with type 2 diabetes mellitus (T2DM).Methods:The clinical data of 120 patients with T2DM from February 2020 to November 2021 in Kunshan Hospital of Integrated Traditional Chinese and Western Medicine were retrospectively analyzed. Among them, 56 patients had no thyroid nodules (non-thyroid nodule group), all patients were TI-RADS grade 1; 64 patients had thyroid nodules (thyroid nodule group), including 7 cases of TI-RADS grade 2, 12 cases of TI-RADS grade 3, 20 cases of TI-RADS grade 4, and 25 cases of TI-RADS grade 5. The levels of IGF-1 and TSH were measured by automated biochemical analyzer, the homeostatic model assessment insulin resistance index (HOMA-IR) was calculated. Spearman method was used for correlation analysis; multivariate Logistic regression was used to analyze the independent risk factors of TI-RADS grading in patients with T2DM combined with thyroid nodules; the receiver operating characteristic (ROC) curve was drawn to analyze the efficacy of IGF-1, TSH and HOMA-IR in predicting TI-RADS grading in patients with T2DM combined with thyroid nodules.Results:The IGF-1, TSH and HOMA-IR in thyroid nodule group were significantly higher than those in non-thyroid nodule group: (185.35 ± 45.08) ng/L vs. (168.36 ± 30.25) ng/L, (2.98 ± 0.85) mU/L vs. (2.69 ± 0.35) mU/L and 3.25 ± 0.75 vs. 2.95 ± 0.44, and there were statistical differences ( P<0.05 or <0.01). In patients with T2DM combined with thyroid nodules, with the increase of TI-RADS classification, the IGF-1, TSH and HOMA-IR gradually increased, and there were statistical differences ( P<0.05). Spearman correlation analysis result showed that the levels of IGF-1, TSH and HOMA-IR were positive correlation with TI-RADS grading ( r = 0.918, 0.906 and 0.920; P<0.05). Multivariate Logistic regression analysis result showed that the IGF-1, TSH and HOMA-IR were independent risk factors for TI-RADS grading in patients with T2DM combined with thyroid nodule ( OR = 1.684, 1.044 and 1.851; 95% CI 0.674 to 6.665, 0.032 to 0.055 and 1.212 to 2.298; P<0.01 or <0.05). ROC curve analysis result show that the area under the curve of IGF-1, TSH and HOMA-IR for predicting the TI-RADS grading patients with T2DM combined with thyroid nodule were 0.946, 0.983 and 0.975, with all sensitivity of 100.00%, and specificity of 82.14%, 91.07% and 89.29%. Conclusions:There is a correlation between IGF-1, TSH, HOMA-IR and TI-RADS grading in patients with T2DM combined with thyroid nodule, which has some guiding value for clinical monitoring of thyroid nodule changes.

【Objective】 To investigate the environmental pollution of blood collection and supply institutions by using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) and evaluate its application value. 【Methods】 Colonies of air from blood donation sites, skin puncture sites of blood donors, platelet storage boxes, platelet collection equipment, object surfaces of related experimental consumables and cuff surfaces of staff after disinfection were collected, and typical colonies after cultivation were selected for microbial identification by microbial mass spectrometry and then compared with bacteria results detected in blood components from May 2017 to May 2021. 【Results】 Aseptic growth, the number of colonies ≤4.0 CFU/ dish, and the number of colonies > 4.0 CFU/dish accounted for 21.20%, 62.20% and 16.60%, respectively. The qualified rate from high to low was platelet storage box, bacteria settling in the air of blood donation room after disinfection, platelet collection equipment, skin puncture site of blood donors after disinfection, the surface of platelet consumables and the surface of medical staff's overalls. After disinfection, the blood donors' skin puncture sites were compared with other collection sites, and the t values were 2.0371, 1.508, 2.109, 1.961 and 1.778, respectively, with no significant difference (P>0.05). Thirty cases of bacterial contamination of blood components were detected from May 2017 to May 2021, among which the detection rate of apheresis platelets was the highest, and the t values were 1.731 and 2.272, relative to the contamination frequency of erythrocytes and plasma bacteria (P>0.05), while the t value was 2.875, relative to concentrated platelets, with significant difference (P<0.05). 【Conclusion】 Bacterial contamination of blood components mostly come from air bacteria settling, blood donors' arms and skin after disinfection, and surfaces of related equipment and materials. Therefore, it is of clinical significance to conduct strict disinfection of working sites, establish disinfection monitoring methods and formulate disinfection hygiene standards in blood stations.

Model informed precision dosing (MIPD) is a new concept to guide precision dosing for individual patient by modeling and simulation based on the available information about the individual patient, medications and the disease. Compared to the empirical dosing, MIPD could improve the efficacy, safety, economics and adherence of the pharmacotherapy according to the individual's pathophysiology, genotyping and disease progression. This consensus report provides a brief account of the concept, methodology and implementation of MIPD as well as clinical decision supporting systems for MIPD. The status and future advancing of MIPD was also discussed to facilitate the appropriate application and development of MIPD in China.

【Objective】 To observe the effect of hydrogen peroxide atomization sterilizer using low concentration hydrogen peroxide disinfectant on the environment and object surface of physical examination area (hereinafter referred to as " physical examination area" ) in blood centers, so as to provide a simple method which is safe, efficient, easy to operate, harmless to human body and has no corrosive effect on equipment. 【Methods】 The physical examination area was disinfected with atomized hydrogen peroxide sterilizer, and the difference of colony number between air and surface before and after disinfection was compared to evaluate the disinfection effect. 【Results】 After disinfection, the hydrogen peroxide residue was detected for 25 times at 5 points, and the results were (0.7~1)ppm, with no statistical difference (P>0.05). 25 tests were carried out at 5 points, and the quartile of the test results was (0~2)CFU/ dish, and the qualified rate was 100%. The test results of bacteria before and after disinfection were statistically significant (P<0.05), which met the requirements of Class Ⅱ environment in Hygienic Standard for Hospital Disinfection(GB15982-2012). After disinfection, the quartile of surface colony detection results of workbench, blood donor seat, screen and door handle were (0~24.1)CFU/cm^2, (1.6~55.4)CFU/cm^2, (0~7.2)CFU/cm² and (0~4.8)CFU/cm^2, with the qualified rate at 80%, 48%, 100% and 100%, respectively, which were in accordance with the requirements of Class Ⅲenvironment in GB15982-2012. The number of colonies after disinfection at the above detection sites decreased significantly compared with that before disinfection (P<0.05). The surface contact plate pressing method and cotton swab smearing method were used to detect the number of colonies on the surface of sterilized work tables and blood donor seats, and the detection rate of the former was higher than that of the latter, with statistical significance (P<0.05). 【Conclusion】 After disinfection by hydrogen peroxide atomization sterilizer, the hydrogen peroxide residue met the requirements specified in the manual. The terminal disinfection effect of air in the physical examination area environment can meet the Class Ⅱ environmental requirements of GB15982-2012. However, the number of microorganisms on object surface after terminal disinfection was significantly lower than that before disinfection.

With the increasing cost of drug development and clinical trials, it is of great value to make full use of all kinds of data to improve the efficiency of drug development and to provide valid information for medication guidelines. Model-based meta-analysis (MBMA) combines mathematical models with meta-analysis to integrate information from multiple sources (preclinical and clinical data, etc.) and multiple dimensions (targets/mechanisms, pharmacokinetics/pharmacodynamics, diseases/indications, populations, regimens, biomarkers/efficacy/safety, etc.), which not only provides decision-making for all key points of drug development, but also provides effective information for rational drug use and cost-effectiveness analysis. The classical meta-analysis requires high homogeneity of the data, while MBMA can combine and analyze the heterogeneous data of different doses, different time courses, and different populations through modeling, so as to quantify the dose-effect relationship, time-effect relationship, and the relevant impact factors, and thus the efficacy or safety features at the level of dose, time and covariable that have not been involved in previous studies. Although the modeling and simulation methods of MBMA are similar to population pharmacokinetics/pharmacodynamics (Pop PK/PD), compared with Pop PK/PD, the advantage of MBMA is that it can make full use of literature data, which not only improves the strength of evidence, but also can answer the questions that have not been proved or can not be answered by a single study. At present, MBMA has become one of the important methods in the strategy of model-informed drug development (MIDD). This paper will focus on the application value, data analysis plan, data acquisition and processing, data analysis and reporting of MBMA, in order to provide reference for the application of MBMA in drug development and clinical practice.

Dexamethasone is a synthetic glucocorticoid that is widely used in clinical due to its multiple pharmacological effects. Recently, dexamethasone is increasingly utilized in anti-cancer therapy. It is frequently used to prevent side effects of chemotherapy such as nausea, vomiting and pain, as well as to increase the anti-tumor activity of the cancer chemotherapeutic agents as a chemosensitizer and to inhibit tumor growth as an anti-cancer agent in some certain cancers. Dexamethasone produces the effects in anti-inflammation, anti-angiogenesis, control of estrogen activity and so on, by binding to glucocorticoid receptor to regulate gene expression of some important bio-signal molecules. Those signal pathways could interfere with the transcription of various factors which can regulate proliferation, invasion and metastasis of tumors.

Population pharmacokinetics of vancomycin (VAN) in the Chinese patients was described by using nonlinear mixed-effects modeling (NONMEM). 619 VAN serum concentrations data from 260 patients including 177 males and 83 females were collected separately from two centers. A one-compartment model was used to describe this sparse data. No significant difference was observed between two center datasets by introducing SID covariate. The final model was as CL= (θ (base0+ θ(max) x(1 -e(-θ(Age)(Age/72) and V = θ x θ (Age)(Age/72). The creatinine clearance (CL(Cr)) and Age were identified as the most significant covariate in the final model. Typical values of clearance (CL) and volume of distribution (V) in the final model were 2.91 L x h(-1) and 54.76 L, respectively. Internal model validation by Bootstrap and NPDE were performed to evaluate the robustness and prediction of the final model. The median and 95% confidence intervals for the final model parameters were based on 1000 Bootstraps. External model evaluation was conducted using an independent dataset that consisted of 34 patients to predict model performance. Pharmacodynamic assessment for VAN by AUC (0-24 h) to MIC ratios of over 400 was considered to be the best to predict treatment outcomes for patients. AUC (0-24 h) was calculated by clearance based on the above population model. The results indicate that the conventional dosing regimen probably being suboptimal concentrations in aged patients. The approach via population pharmacokinetic of VAN combined with the relationship of MIC, Age, CL(Cr) and AUC(0-24 h)/MIC can predict the rational dose for attaining efficacy.