OBJECTIVE To improve the efficiency and quality of dispensed oral drug management in the inpatient pharmacy， and ensure the safety of drug use in patients. METHODS SWOT （strength， weakness， opportunity， threat） analysis method was used to analyze the internal strengths and weaknesses， as well as the external opportunities and threats in the construction of a closed-loop management system for dispensed oral drugs in the inpatient pharmacy of our hospital， and propose improvement strategies. RESULTS & CONCLUSIONS A refined， full-process， closed-loop traceability management system for dispensed oral drugs in the inpatient pharmacies was successfully established， which is traceable in origin， trackable in destination， and accountable in responsibility. After the application of this system， the registration rate of dispensed drug information and the correctness rate of registration content both reached 100%. The proportion of overdue drug varieties in the same period of 2024 decreased by 77.78% compared to March 2020， the inventory volume decreased by 29.50% compared to the first quarter of 2020， the per-bed medication volume decreased by 32.14% compared to the first quarter of 2020； the average workload per post in the same period of 2023 increased by 49.09% compared to 2019， the dispensing accuracy rate reached 100%， and the improvement rate of quality control problem increased by 25.25% compared to 2021. This system effectively improves the safety and accuracy of dispensed oral drug management in the inpatient pharmacy.

Objective To investigate the value of monocyte to lymphocyte ratio(MLR)and neutrophil percentage to albumin ratio(NPAR)in predicting diabetic macular edema(DME).Methods One hundred and one diabetic retinopathy patients admitted to the Third Affiliated Hospital of Xinxiang Medical University from January 2018 to February 2023 were selected as the research subjects,and they were divided into DME group(n=56)and non-DME group(n=45)based on fun-dus examination results.The general data such as gender,age,course of diabetes and laboratory indicators were collected by consulting medical records.Fasting elbow venous blood was collected early in the morning of the next day after the diagnosis of DME in both groups,the monocytes(MONO)count,lymphocyte(LYM)count,white blood cell(WBC)count,percentage of neutrophils(NEUT),plasma albumin(ALB),glycosylated haemoglobin(HbA1c)were measured by full automatic blood routine analyzer,and MLR,NPAR were calculated.General information and laboratory indexes of patients in the two groups were compared,and risk factors for DME were analyzed by multivariate logistic regression,and receiver operator characteristic(ROC)curve was applied to evaluate the predictive value of MLR and NPAR for DME.Results The course of diabetes,MONO count,NEUT,MLR,NPAR,WBC count,and HbA1c level of patients between the DME group were significantly higher than those in the non-DME group(P＜0.05);there was no statistically significant difference in gender,age,LYM count,and ALB level of patients between the two groups(P＞0.05).Multivariate logistic regression analysis showed that increased levels of WBC,MLR,and NPAR were independent risk factors for the occurrence of DME(P＜0.05).The ROC curve showed that the best cut-off value of MLR was 0.192,and the area under the curve(AUC)for the prediction of DME was 0.729(95％confidence interval:0.631-0.826),with a sensitivity of 58.9％and a specificity of 82.2％;while the best cut-off value of NPAR was 1.404,and the AUC for predicting DME occurrence was 0.884(95％confidence interval:0.820-0.949),with a sensitivity of 75.0％and a specificity of 91.1％;the AUC of MLR and NPAP for predicting the occurrence of DME was 0.906(95％confidence interval:0.851-0.906),with a sensitivity of 69.6％and a specificity of 93.3％.With MLR＞0.192 as positive and NPAR＞1.404 as positive,the parallel test of MLR and NPAR predicted the occurrence of DME with a sensitivity of 87.5％,a specificity of 71.1％,and an accuracy of 80.2％;while the tandem test of MLR and NPAR predicted the occurrence of DME with a sensitivity of 46.4％,a specificity of 97.8％,and an accuracy of 69.3％.Conclusion Increased levels of MLR and NPAR are independent risk factors for the occurrence of DME and have certain predictive value for DME.The predictive value of combined MLR and NPAR test for DME is higher than that of separate test,and parallel experiment is more helpful for the early prediction of DME.

Objective To construct myeloid-specific Spi1 gene knockout mice and analyze their genotypes,so as to provide animal model basis for the study of pathological mechanism of diseases and drug targets.Methods Ac-cording to the principle of CRISPR/Cas9 technology and Cre/LoxP system,sgRNA and Donor vectors were de-signed and constructed.The transcript of Exon 2(Exon 2)was used as the knockout region,and Loxp elements were placed on both sides of Exon 2.Cas9 protein,sgRNA and Donor vector were mixed and microinjected into the fertilized eggs of C57BL/6J mice,the fertilized eggs were transplanted into the uterus of C57BL/6J pregnant female mice,and F0 generation was obtained after 19～20 days.Positive F0 mice were mated with C57BL/6J mice to ob-tain stable F1 Spi1flox/+mice.Spi1flox/+mice of F1 generation were selfed to obtain Spi1flox/flox mice.Spi1flox/flox mated with Lyz2-Cre+mice to obtain Spi1flox/+/Lyz2-Cre+mice,and then mated with Spi1flox/flox,the Spi1flox/flox/Lyz2-Cre+mice were myeloid-specific Spi1 gene knockout(KO)mice.Spi1flox/flox/Lyz2-cre-mice were used as wild-type(WT)mice.DNA of WT and KO mice was extracted,and the genotypes were identified by agarose gel electro-phoresis after PCR amplification.Western blot was used to detect the expression of spleen focus forming virus provi-ral integration oncogene,Spi-1/purine rich box-1(PU.1)in immune cells of WT and KO mice.Results The results of PCR identification showed that the genotype of mice with only 220 bp amplified by flox primer was Spi1flox/flox homozygote,and the genotype of mice with 700 bp amplified by Lyz2-Cre primer was Lyz2-Cre+.Western blot showed that compared with WT group,the protein PU.1 was not expressed in bone marrow-derived macropha-ges(BMDMs)and peritoneal macrophages(PM)in KO group(P<0.01).There was no significant difference of statistics in the expression level of PU.1 in T cells between KO mice and WT mice.The results of PCR and West-ern blot showed that myeloid-specific Spi1 KO mice were successfully constructed.Conclusion The myeloid-spe-cific Spi1 gene KO mice are successfully constructed and identified,which provides animal model basis for further revealing the potential mechanism of PU.1 inimmune regulation.

Objective To breed and identify the T lymphocyte-conditional Spi1 knockout mice for the further in-vestgation of the specific role of Spi1-encoded protein PU.1.Methods The Lck-Cre mice were mated with Spi1flox/flox mice to obtain Lck-Cre×Spi1flox/flox mice(T lymphocyte-specific Spi1 knockout mice),and the genotype was determined by polymerase chain reaction(PCR)and agarose gel electrophoresis.Magnetic beads were used to sort out the splenic T lymphocytes,and the knockdown efficiency of PU.1 in T cells was detected by Western blot,quantitative real-time PCR(qPCR)and flow cytometry.Results The Lck-Cre×Spi1flox/flox mouse genotype was stably inherited.Compared with Spi1flox/flox mice,the expression level of PU.1 was significantly reduced in splenic T cells of Lck-Cre×Spi1flox/flox mice.Conclusion In this study,the T lymphocyte-specific Spi1 knockout mice was successfully constructed by applying Cre/LoxP system and CRISPR/Cas9 technology,which provided a reliable an-imal model for the subsequent experiments of the specific role of PU.1 in T cell-related diseases.

Objective To construct Csf1r-CreERT2 R26REYFP reporter gene mice and assess the efficacy of Csf1r-CreERT2-mediated enhancement of CSF1R in CD45+cells labeled with yellow fluorescein protein EYFP.Methods Csf1r-CreERT2 mice were crossbred with R26REYFP homozygous mice,and Csf1r-CreERT2R26REYFP mice were identified through PCR and Western Blot analyses.Flow cytometry was employed to evaluate CSF1R tag-efficiency in CD45+cells across different mouse tissues following tamoxifen induction.Results Csf1r-CreERT2 R26REYFP reporter gene mice were acquired.In addition,it was found that Csf1r-CreERT2-mediated EYFP could effectively mark CSF1R in various tissues of mice and CD45+cells in different locations.Compared to the R26REYF P group,the highest labeling efficiency was observed in the brain tissue(P＜0.001),the lowest in the thymus tissue(P＜0.05),and no sig-nificant difference was observed in the spleen tissue.Conclusion Adult Csf1r-CreERT2 mice and R26REYFP mice are effective ways to obtain Csf1r-CreERT2 R26REYFP induced conditional fluorescence mice.Csf1r-CreERT2 can mediate EYFP to effectively trace CSF1R in CD45+cells in different parts of mice.

Purpose: The risk stratification of pediatric anaplastic large cell lymphoma (ALCL) has not been standardized. In this study, new risk factors were included to establish a new risk stratification system for ALCL, and its feasibility in clinical practice was explored. Materials and Methods: On the basis of the non-Hodgkin’s lymphoma Berlin–Frankfurt–Munster 95 (NHL-BFM-95) protocol, patients with minimal disseminated disease (MDD), high-risk tumor site (multiple bone, skin, liver, and lung involvement), and small cell/lymphohistiocytic (SC/LH) pathological subtype were enrolled in risk stratification. Patients were treated with a modified NHL-BFM-95 protocol combined with an anaplastic lymphoma kinase inhibitor or vinblastine (VBL). Results: A total of 136 patients were enrolled in this study. The median age was 8.8 years. The 3-year event-free survival (EFS) and overall survival of the entire cohort were 77.7% (95% confidence interval [CI], 69.0% to 83.9%) and 92.3% (95% CI, 86.1% to 95.8%), respectively. The 3-year EFS rates of low-risk group (R1), intermediate-risk group (R2), and high-risk group (R3) patients were 100%, 89.5% (95% CI, 76.5% to 95.5%), and 67.9% (95% CI, 55.4% to 77.6%), respectively. The prognosis of patients with MDD (+), stage IV cancer, SC/LH lymphoma, and high-risk sites was poor, and the 3-year EFS rates were 45.3% (95% CI, 68.6% to 19.0%), 65.7% (95% CI, 47.6% to 78.9%), 55.7% (95% CI, 26.2% to 77.5%), and 70.7% (95% CI, 48.6% to 84.6%), respectively. At the end of follow-up, one of the five patients who received maintenance therapy with VBL relapsed, and seven patients receiving anaplastic lymphoma kinase inhibitor maintenance therapy did not experience relapse. Conclusion This study has confirmed the poor prognostic of MDD (+), high-risk site and SC/LH, but patients with SC/LH lymphoma and MDD (+) at diagnosis still need to receive better treatment (ClinicalTrials.gov number, NCT03971305).

Objective: To obtain chimeric antigen receptor macrophages ( CAR-M) targeting HER2 stably transfected． Methods : CAR lentivirus vector targeting HER2 was constructed and infected with human monocytic leukemia cell line (THP-1) ．CAR THP-1 cells with green fluorescent labeling were selected by sorting flow cytometry and continued to be cultured in vitro．The CAR THP-1 cells targeting HER2 were co-cultured with the endometrial cancer cell line Ishikawa with negative and positive HER2 expression，and their targeted phagocytosis of CAR-M to HER2 positive tumor cells was detected by imaging flow cytometry ，and the targeted phagocytosis efficiency of CAR-M to HER2 positive tumor cells was detected by flow cytometry. Results : CAR lentivirus infection with THP- 1 cells was less efficient ; After co-culture with cancer cells，flow cytometry and imaging flow cytometry showed that CAR THP-1 cells had enhanced phagocytosis of HER2 positive Ishikawa cells compared with the empty body group (P＜0. 01) ． Conclusion In this experiment，CAR THP-1 cell line targeting HER2 was established by constructing CAR lentivirus vector and transfecting THP-1 cells ，and it was proved that CAR THP-1 could phagocytize HER2 positive Ishikawa cells through specific targeting.

Strengthening the supervision of medical insurance funds is an important measure to promote the healthy and sustainable development of the medical security system. In January 2022, a tertiary general hospital in Beijing carried out risk identification and prevention and control practices for the use of medical insurance funds. By using such methods as fault tree analysis and risk matrix, the probability and impact of events were quantitatively evaluated, high-risk events during the use of medical insurance funds were identified, and corresponding risk prevention and control measures were developed, relying on intelligent regulatory systems. From January to November 2022, the hospital outpatient medical insurance refusal amount(20 080 yuan) caused by such high-risk events as exceeding drug instructions, exceeding medical insurance indications, and exceeding age limits decreased by 42.30% compared to the same period in 2021(11 585 yuan). The discharge and settlement time of medical insurance patients decreased from 3 working days to 1 working day. This practice had effectively improved the quality and efficiency of hospital medical insurance fund supervision, improved patients′ medical experience, and provided reference for strengthening the safe and standardized use of medical insurance funds by medical institutions.

Objective To explore the CT dominant phase and optimal classification model in differenting clear cell renal cell carcinoma (ccRCC) from fat‐poor angiomyolipoma (fpAML) through quantitative multiple‐phase CT radiomic features analysis. Methods Clinical and imaging data of 195 cases pathologically confirmed ccRCC (n=131) and fpAML (n=64) were retrospectively studied. All the patients underwent non‐contrast enhanced CT scans and dynamic multi‐phase (corticomedullary phase, medullary phase and excretion phase) contrast‐enhanced CT scans. Regions of interest (ROIs) were manually delineated based on the selected image slices with the maximal diameter of the lesion using ITK‐SNAP software, followed by the acquisition of candidate CT radiomic feature sets from each phase with statistically significant differences by using Mann‐Whitney U test. Then, using the synthetic minority oversampling technique (SMOTE), 232 classification models which are composed of 29 different feature selection algorithms (top 10 features were chosen by the backward elimination method) and 8 different classifiers were constructed. Employing the 5‐fold cross‐validation method, the performance of each classification models for each phase was evaluated using accuracy (ACC), sensitivity (SEN), specificity (SPE) and area under receiver operating characteristic curve (AUC), to acquire dominant CT phases and the optimal classification models for distingushing ccRCC and fpAML, along with the key imaging radiomic features. Results In this study, the mean maximal diameter of ccRCC and fpAML lesions were (3.9±1.4) cm, and (3.5±1.7) cm, respectively, and there was no statistically significant difference in the size of the tumor between two groups (P>0.05). From 102 initial imaging feature sets, the total number of candidate imaging feature sets (P<0.05) were:non‐enhanced phase (n=26), corticomedullary phase (n=71), medullary phase (n=68), excretion phase (n=62). Among the 232 classification models through different combination of classifiers and feature selectors, the amount of classification models which achieved the maximum of AUC value (AUCmax) from different CT phases were: non‐enhanced phase (n=106, 45.7%), corticomedullary phase (n=94, 40.5%), medullary phase (n=23, 9.9%), excretion phase (n=9, 3.9%). Imaging features from non‐enhanced phase and corticomedullary phase yielded higher performance compared with medullary phase and excretion phase, with the corresponding optimal prediction models were SVM‐fisher_score (AUC: 0.897, ACC: 83%, SEN: 84%, SPE:80%) and Logistic Regression‐RFS (AUC: 0.891, ACC: 83%, SEN: 81%, SPE: 89%), respectively. Conclusions The quantitative imaging features from non‐enhanced and corticomedullary phase have better performance among proposed classification models than that from medullary phase and excretion phase. Furthermore, it is feasible to acquire proper combination of feature selection and classifiers to achieve high performance in identifying ccRCC and fpAML.

Objective To compare the early fluid resuscitation effect of transpulmonary thermodilution (PICCO) monitoring combined with the passive leg raising (PLR) test and central venous pressure(CVP) mo-nitoring in severe sepsis .Methods Sixty patients with severe sepsis admitted in this hospital from January to December 2016 were selected and divided into the treatment group (n=28) and control group(n=32) accord-ing to the random number table method .The treatment group adopted PICCO monitoring combined with PLR ,while the control group adopted CVP monitoring .The changes of plasma natriuretic peptide (BNP) and blood lactic acid(LAC) levels at 6 ,24 ,48 ,72 h in two groups ,time of vasoactive drugs withdrawn ,mechanical ventilation time ,ICU stay length ,and occurrence situation of multiple organ dysfunction syndrome (MODS) and death were compared between the two groups .Results The plasma BNP levels at 24 ,48 ,72 h in the treat-ment group were lower than those in the control group at the same period ,the difference was statistically sig-nificant(P<0 .05);The plasma LAC levels at 24 ,48 ,72 h in the treatment group were lower than those in the control group at the same periods ,the difference was statistically significant (P<0 .05);The vasoactive drug withdrawal time in the treatment group was faster than that in the control group ,the mechanical ventilation time was shorter than that in the control group ,and the ICU stay time was shorter than that in the control group ,the difference was statistically significant (P<0 .05);The occurrence rates of MODS and death had no statistical difference between the two groups (P>0 .05) .Conclusion The PICCO monitoring combined with PLR in severe sepsis has better early fluid resuscitation curative effect than the CVP monitoring and has im-portant study significance .