OBJECTIVE To develop a pharmaceutical service model for discharge medication order review and medication education （hereinafter referred to as the “proactive pharmaceutical service model”）， and evaluate its effects. METHODS The data of discharged patients were collected retrospectively from Rheumatology and Immunology Department of our hospital during January to June 2023 and January to June 2024. Patients discharged from January to June 2024 were classified as the intervention group （489 cases）， while patients discharged from January to June 2023 were classified as the control group （535 cases） based on the different pharmaceutical service models they received. The control group received traditional service model， and the intervention group additionally got proactive pharmaceutical service model based on the control group. The primary outcome measures [the number of discharge medications， the number of medication errors， and the occurrence of adverse drug-drug interaction （DDI）] and follow-up outcome measures （the adjustment of medication regimen due to intolerance， unplanned hospital admissions， and proactive seeking of pharmaceutical services after discharge） were compared between the two groups. The discharge medication order review status， the occurrence of adverse DDI in patients with polypharmacy， and bedside medication education status for patients receiving the proactive pharmaceutical service model were all recorded. RESULTS From January to June 2024， a total of 1 052 discharge medication order review for inpatients were reviewed， and 174 instances of medication errors were identified. Polypharmacy was observed in 579 patients， with an incidence rate of 55.04%. The incidence of adverse DDI was significantly higher in patients with polypharmacy compared to those without polypharmacy （P＜0.001）. Pharmacists completed medication guidance for 394 instances of high-risk patients prone to the incidence rate of medication errors at home. The number of discharge medications， the incidence rate of medication errors， instances of medication not matching the diagnosis， dosage and administration errors， adverse DDI， and the incidence rate of patients who required adjustment of medication regimen due to intolerance were all significantly lower in the intervention group compared to the control group （P＜0.05）. Additionally， the incidence rate of patients who proactive seeking of pharmaceutical services after discharge was significantly higher in the intervention group compared to the control group （P＜0.05）. However， there was no significant difference in the incidence rate of unplanned hospital admissions between the two groups （P＞0.05）. CONCLUSIONS The established proactive pharmaceutical service model can reduce medication errors， enhance patient recognition of pharmaceutical services， and ensure medication safety for discharged patients at home.

Thyroid cancer is caused by multiple factors, including genetics, environment, metabolism, and the immune microenvironment, among which ionizing radiation exposure is an important risk factor for thyroid cancer. As one of the most sensitive target organs of ionizing radiation, the thyroid gland may have different risks of thyroid cancer caused by different types of ionizing radiation exposures, such as medical exposure, occupational exposure, and emergency exposure. The sensitivity of children and adolescents are higher than that of adults. The dose-response relationship still needs to be further explored. The molecular mechanism between ionizing radiation and the increased risk of thyroid cancer is complex, which may involve DNA damage and repair abnormalities, gene mutations, non-coding RNA regulation, DNA methylation, cell cycle regulation imbalance, and immune microenvironment changes. This article reviews the risk and molecular mechanisms associated with different types of ionizing radiation exposure in thyroid cancer, based on literature retrieved from CNKI and PubMed databases. It aims to provide a theoretical basis for the early monitoring, prevention, and intervention of thyroid cancer related to ionizing radiation exposure.

This paper applied gas chromatography-mass spectrometry (GC-MS), network pharmacology and nuclear magnetic resonance hydrogen spectroscopy (¹H NMR) metabolomics techniques to study the material basis and mechanism of action of Ning Shen Essential Oil in anti-insomnia. The main volatile components of Ning Shen Essential Oil were analyzed by gas chromatography-mass spectrometry (GC-MS), and the insomnia-related targets were predicted using the Traditional Chinese Medicine Systematic Pharmacology Database and Analytical Platform (TCMSP) and the databases of GeneCards, OMIM and Drugbank. The insomnia model of rats was replicated by intraperitoneal injection of 4-chloro-DL-phenylalanine (PCPA). Animal experiments were approved by the Animal Ethics Committee of Shandong University of Traditional Chinese Medicine (Ethics No.: SDUTCM20221025010). The modulating effect of Compound Ning Shen Essential Oil on anxiety behavior of rats was evaluated by behavioral related indexes. The serum levels of corticotropin-releasing hormone (CRH), adrenotropic corticotropic hormone (ACTH) and melatonin (MT) were measured by enzyme-linked immunoassay (ELISA). Rat serum and hippocampus were taken for nuclear magnetic resonance (¹H NMR) metabolomics to detect the changes of endogenous metabolites in rat serum hippocampus, to designate the differential metabolites and to construct metabolic pathways. The results showed that the exercise distance in the open field experiment and the number of times and time to enter the open arm in the elevated cross maze experiment of the rats in the model group were significantly reduced (P < 0.05, P < 0.01). The behavioral indexes of rats improved to different degrees after the administration of Ning Shen Essential Oil. The serum CRH and ACTH levels of rats in the model group increased significantly (P < 0.05, P < 0.01), and the MT level decreased significantly (P < 0.01); After the intervention, serum CRH and ACTH levels were reduced to different degrees, and MT levels could be regressed. ¹H NMR metabolomics screened 10 potential biomarkers related to insomnia, which involved in 6 potential metabolic pathways. A total of 35 components of Ning Shen Essential Oil were detected by GC-MS, the main component targets of Ning Shen Essential Oil and insomnia disease targets were intersected, a total of 172 intersecting genes were screened, and 26 core targets were identified. The study demonstrated that Ning Shen Essential Oil had protective effects against PCPA-induced insomnia in rats, which was probably correlated with regulation of the hypothalamic-pituitary-adrenal axis (HPA) related hormones and metabolism of amino acids, lipids and choline.

Objective To investigate the clinical value of extracellular volume(ECV)based on CT delayed phase in combination with pathologic indicators in predicting early recurrence of gastric mesenchymal tumors after surgery.Methods A retrospective case-control trial was conducted on the imaging,clinical and pathological data of 110 patients with gastric mesenchymal tumors who were surgically resected at the First Affiliated Hospital of Army Medical University from January 2011 to August 2022.They were 60 males and 50 females,at a mean age of 58±10 years.All of them received preoperative multiphase dynamic CT enhancement examination of the abdomen,and ECV value was calculated with the formula:ECV=(1-hematocrit)×(△HU tumor/△HU aorta).According to the postoperative recurrence within 24 months after surgery,they were divided into early recurrence group and non early recurrence group.Statistical indexes:① Consistency analysis.② The factors affecting early recurrence after resection of gastric mesenchymal stromal tumors were analyzed and a prediction model was conducted.Delong test was used to assess the predictive value of the model.Then a nomogram was plotted based on the combines model,and calibration curves were drawn to assess the efficacy of the column charts,and decision curve analysis(DCA)was adopted to assess the value of the model for clinical application.Results ① Consistency analysis.After 2 radiologists outlined the region of interest and obtained ECV value according to the above formula,The intraclass correlation coefficient(ICC)was 0.806.② For the 110 subjected patients,21 cases of them had early recurrence,and 89 one did not.Multivariate analysis showed that ECV value,risk degree,and tumor length were independent influencing factors for predicting early recurrence.Receiver operating characteristic(ROC)curve analysis indicated that the area under the curve(AUC)value of ECV,hazard degree,and tumor length diameter in predicting early recurrence was 0.838(95％CI 0.758～0.918),0.774(95％CI 0.656～0.892),and 0.700(95％CI 0.589～0.810),respectively,and the value of their combined model was 0.899(95％CI 0.811～0.987),which was higher than that of each independent model.The sensitivity and specificity of the combined model was 85.71％and 86.52％,respectively,and the optimal cutoff value was 0.19.Delong test revealed that there was statistical difference between the combined model and the clinical model established by the hazard level(Z=6.548,P＜0.001,95％CI 0.140～0.259).Calibration curve analysis suggested that the combined model had a better fit,and DCA displayed that the combined model had a better net benefit.Conclusion The model established by ECV combined with pathological indicators has good predictive performance and can be used as a more effective predictor of early recurrence of gastric mesenchymal tumors after surgery.

The increasing operating pressure of large public hospitals has forced hospitals to focus on opening up income sources and reducing expenditure.The purchase and maintenance of medical equipment is one of the important economic activities of hospi-tals.However,there are problems in large public hospitals,such as the argumentation for equipment acquisition ignoring evaluation of operational efficiency,the costing model that leads to a lack of willingness of departments to purchase equipment,and the lack of standard processes and systems for renting medical equipment among departments.Based on this,it explores the establishment of a medical equipment sharing operation mechanism in large public hospitals,promotes the improvement of the efficiency of medical equipment use in large public hospitals by establishing a medical equipment sharing center,standardizing the purchase of shared equipment,entering shared equipment information,setting up shared equipment leasing specifications,and clarifying the equipment return process and maintenance,so as to effectively control hospital operating costs,and help the high-quality development of public hospitals.

The increasing operating pressure of large public hospitals has forced hospitals to focus on opening up income sources and reducing expenditure.The purchase and maintenance of medical equipment is one of the important economic activities of hospi-tals.However,there are problems in large public hospitals,such as the argumentation for equipment acquisition ignoring evaluation of operational efficiency,the costing model that leads to a lack of willingness of departments to purchase equipment,and the lack of standard processes and systems for renting medical equipment among departments.Based on this,it explores the establishment of a medical equipment sharing operation mechanism in large public hospitals,promotes the improvement of the efficiency of medical equipment use in large public hospitals by establishing a medical equipment sharing center,standardizing the purchase of shared equipment,entering shared equipment information,setting up shared equipment leasing specifications,and clarifying the equipment return process and maintenance,so as to effectively control hospital operating costs,and help the high-quality development of public hospitals.

Objective This study aims at establishing a teaching catalog and content for breast rare dis-eases and developing the syllabus for the breast rare disease using integrated multimodality of case-/problem-/resource-based learning(CBL+PBL+RBL).Methods By conducting bibliometrics co-occurrence analysis,we collected 6291 articles on breast rare disease published from January,1975 to June,2024.Additionally,we re-trieved the Textbook on Rare Diseases,the Catalog of Chinese Rare Disease,and Second Batch of Rare Dis-ease Catalog and then decided the teaching content.Results From 16,387 keywords,1000(6.1％)keywords were identified through co-occurrence analysis,including 50(0.3％)candidate diseases.These were classified into three categories:rare primary breast diseases,rare genetic mutation-related diseases associated with breast cancer,and rare systemic multi-system diseases involving the breast.From the candidate list,20(0.1％)rare primary breast diseases were further selected for their notable clinical teaching significance,and significant multi-systemic diseases affecting the breast,whether related to gene mutations or not.Teaching plans were draf-ted using a diversified parallel teaching approaches,taking into account the characteristics of different diseases and the focus of different teaching methods.Conclusions This study initiated the development of the teaching content for breast rare diseases and developed the teaching syllabus using the CBL+PBL+RBL integrated multi teaching model and targeting each rare breast disease for the critical point for teaching.

Objective:To describe the current status and trends in the outcomes and care practices of extremely preterm infants at 22-25 weeks′ gestation age from the Chinese Neonatal Network (CHNN) from 2019 to 2021.Methods:This cross-sectional study used data from the CHNN cohort of very preterm infants. All 963 extremely preterm infants with gestational age between 22-25 weeks who were admitted to neonatal intensive care units (NICU) of the CHNN from 2019 to 2021 were included. Infants admitted after 24 hours of life or transferred to non-CHNN hospitals were excluded. Perinatal care practices, survival rates, incidences of major morbidities, and NICU treatments were described according to different gestational age groups and admission years. Comparison among gestational age groups was conducted using χ2 and Kruskal-Wallis tests. Trends by year were evaluated by Cochran-Armitage and Jonckheere-Terpstra tests for trend. Results:Of the 963 extremely preterm infants enrolled, 588 extremely preterm infants (61.1%) were male. The gestational age was 25.0 (24.4, 25.6) weeks, with 29 extremely preterm infants (3.0%), 88 extremely preterm infants (9.1%), 264 extremely preterm infants (27.4%), and 582 extremely preterm infants (60.4%) at 22, 23, 24, and 25 weeks of gestation age, respectively. The birth weight was 770 (680, 840) g. From 2019 to 2021, the number of extremely preterm infants increased each year (285, 312, and 366 extremely preterm infants, respectively). Antenatal steroids and magnesium sulfate were administered to 67.7% (615/908) and 51.1% (453/886) mothers of extremely preterm infants. In the delivery room, 20.8% (200/963) and 69.5% (669/963) extremely preterm infants received noninvasive positive end-expiratory pressure support and endotracheal intubation. Delayed cord clamping and cord milking were performed in 19.0% (149/784) and 30.4% (241/794) extremely preterm infants. From 2019 to 2021, there were significant increases in the usage of antenatal steroids, antenatal magnesium sulfate, and delivery room noninvasive positive-end expiratory pressure support (all P<0.05). Overall, 349 extremely preterm infants (36.2%) did not receive complete care, 392 extremely preterm infants (40.7%) received complete care and survived to discharge, and 222 extremely preterm infants (23.1%) received complete care but died in hospital. The survival rates for extremely preterm infants at 22, 23, 24 and 25 weeks of gestation age were 10.3% (3/29), 23.9% (21/88), 33.0% (87/264) and 48.3% (281/582), respectively. From 2019 to 2021, there were no statistically significant trends in complete care, survival, and mortality rates (all P>0.05). Only 11.5% (45/392) extremely preterm infants survived without major morbidities. Moderate to severe bronchopulmonary dysplasia (67.3% (264/392)) and severe retinopathy of prematurity (61.5% (241/392)) were the most common morbidities among survivors. The incidences of severe intraventricular hemorrhage or periventricular leukomalacia, necrotizing enterocolitis, and sepsis were 15.3% (60/392), 5.9% (23/392) and 19.1% (75/392), respectively. Overall, 83.7% (328/392) survivors received invasive ventilation during hospitalization, with a duration of 22 (10, 42) days. The hospital stay for survivors was 97 (86, 116) days. Conclusions:With the increasing number of extremely preterm infants at 22-25 weeks′ gestation admitted to CHNN NICU, the survival rate remained low, especially the rate of survival without major morbidities. Further quality improvement initiatives are needed to facilitate the implementation of evidence-based care practices.

The increasing operating pressure of large public hospitals has forced hospitals to focus on opening up income sources and reducing expenditure.The purchase and maintenance of medical equipment is one of the important economic activities of hospi-tals.However,there are problems in large public hospitals,such as the argumentation for equipment acquisition ignoring evaluation of operational efficiency,the costing model that leads to a lack of willingness of departments to purchase equipment,and the lack of standard processes and systems for renting medical equipment among departments.Based on this,it explores the establishment of a medical equipment sharing operation mechanism in large public hospitals,promotes the improvement of the efficiency of medical equipment use in large public hospitals by establishing a medical equipment sharing center,standardizing the purchase of shared equipment,entering shared equipment information,setting up shared equipment leasing specifications,and clarifying the equipment return process and maintenance,so as to effectively control hospital operating costs,and help the high-quality development of public hospitals.

The increasing operating pressure of large public hospitals has forced hospitals to focus on opening up income sources and reducing expenditure.The purchase and maintenance of medical equipment is one of the important economic activities of hospi-tals.However,there are problems in large public hospitals,such as the argumentation for equipment acquisition ignoring evaluation of operational efficiency,the costing model that leads to a lack of willingness of departments to purchase equipment,and the lack of standard processes and systems for renting medical equipment among departments.Based on this,it explores the establishment of a medical equipment sharing operation mechanism in large public hospitals,promotes the improvement of the efficiency of medical equipment use in large public hospitals by establishing a medical equipment sharing center,standardizing the purchase of shared equipment,entering shared equipment information,setting up shared equipment leasing specifications,and clarifying the equipment return process and maintenance,so as to effectively control hospital operating costs,and help the high-quality development of public hospitals.