Evaluating the Impact of Interventions and Improvements in Outpatient Intravenous Infusion Therapy at a Hospital in China: A Comprehensive Analysis of Prescription Patterns and Safety Measures.

Background: The excessive use of intravenous infusion in China was once a serious problem, but in recent years, attention has been paid to the phenomenon, and the government has implemented several policies to solve the problem, which has been gradually improved. Aim: This study focuses on evaluating the impact of ongoing interventions and improvements in outpatient intravenous infusion therapy. Methods: From January 2016 to December 2022, we conducted a study to gather annual data on intravenous infusion prescriptions. A data questionnaire, encompassing information on departments, clinical diagnosis, and infusion drugs, was developed for this purpose. We analyzed the changing trends of Top 10 clinical departments with higher intravenous infusion usage rates and Top 10 drugs used. We also evaluated the compliance of intravenous infusion prescriptions with management regulations and drug instructions, for further intervention in the future. Results: The analysis of intravenous infusion prescription rates revealed a gradual decrease from 10.89% to 5.63%. This reduction was statistically significant (P < 0.05). High levels of intravenous infusion use were consistently observed in emergency surgery and emergency medicine. Commonly administered drugs via infusion included antibacterial drugs, tumor medications, proton pump inhibitors, and injections of traditional Chinese medicine. Inappropriate prescriptions are often characterized by issues related to drug dosage, usage, indication, and selection. Trend analysis of unreasonable types revealed significant improvements in "Diagnosis incomplete/unwritten", "Solvent selection", "Dosing frequency", and "Treatment without indication" (P < 0.05). Conclusion: The findings of this study indicate a gradual improvement in the situation regarding intravenous infusion. However, there are still prevalent instances of unreasonable practices that need to be addressed.

Investigating the efficacy and mechanisms of Jinfu'an decoction in treating non-small cell lung cancer using network pharmacology and in vitro and in vivo experiments.

ETHNOPHARMACOLOGICAL RELEVANCE: Jinfu'an Decoction (JFAD) is a traditional Chinese decoction used in lung cancer treatment to improve patient quality of life and survival. Previous research has established that JFAD has a significant therapeutic effect on non-small cell lung cancer (NSCLC), although the underlying molecular mechanisms have not been largely underexplored. AIM OF THE STUDY: We used network pharmacology to identify the putative active ingredients of JFAD and conducted experimental studies to determine the potential molecular mechanism of JFAD in NSCLC treatment. MATERIALS AND METHODS: The herbal components in JFAD-containing serum were identified by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS), and targets associated with the anti-lung cancer metastasis effects of JFAD were retrieved from various databases. The Database for Annotation, Visualization and Integrated Discovery (DAVID) was used to perform Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Next, the protein-protein interactions network and the "JFAD-Chemical Component-Target-KEGG Pathway" network were constructed. The network pharmacology findings were confirmed by in vitro and in vivo experiments. In vitro experiments were conducted to assess cell viability by CCK8 assay, cell cycle analysis by propidium iodide (PI) assay, and migration and invasion ability of cells by the transwell assay. In vivo experiments were performed to assess the efficacy of JFAD on the tumor by observing the growth of transplanted tumor models in nude mice and evaluated by in vivo bioluminescence imaging. Moreover, we assessed the effect of JFAD on the PI3K/Akt signaling pathway and proteins of Lumican, p120ctn, and specific RhoGTP enzyme family members (RhoA, Rac1, and RhoC) by Western Blot and immunohistochemistry. RESULTS: 32 herbal components were identified in the JFAD-containing serum, which potentially acted on 229 targets related to lung cancer metastasis. Network pharmacology results suggested that JFAD may treat lung cancer metastasis by targeting the PI3K/Akt pathway via regulating multiple core targets. Our experiments showed that JFAD suppressed the proliferation of A549 cells in vitro, induced cell cycle arrest, and reduced the migration and invasion ability of A549 cells. Our in vivo study revealed that JFAD inhibited tumor growth in a nude mouse model. Additionally, we found that JFAD could downregulate the expression of the PI3K/Akt pathway and affect the expression of Lumican, p120ctn, and specific RhoGTPase family members. CONCLUSIONS: In conclusion, through network pharmacology, we have unveiled the underlying mechanisms that link the various components, targets, and pathways influenced by JFAD in the context of lung cancer metastasis. Our experimental results suggest that the oncostatic effects of JFAD may be achieved by upregulating the expression of Lumican/p120ctn and downregulating the levels of specific RhoGTPase family members, which in turn block the PI3K/Akt signaling pathway.

Identification and Analysis of Chemical Constituents and Rat Serum Metabolites in Gushuling Using UPLC-Q-TOF/MS Coupled with Novel Informatics UNIFI Platform.

Gushuling (GSL), a well-known hospital preparation composed of traditional Chinese medicine (TCM), has been widely used in the clinical treatment of osteoporosis (OP) for decades due to its remarkable therapeutic effect. However, the chemical constituents of GSL are still unclear so far, which limits the in-depth study of its pharmacodynamic material basis and further restricts its clinical application. In this study, we developed a strategy for qualitative analysis of the chemical constituents of GSL in vitro and in vivo. Based on the results of ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS) and the UNIFI informatics platform, the chemical constituents of GSL can be determined quickly and effectively. By comparing the retention time, accurate mass, and fragmentation spectrum of the compounds in GSL, a total of 93 compounds were identified or preliminarily identified, including flavonoids, terpenoids, phenylpropanoids, steroids, etc. Among them, nine compounds have been confirmed by standard substances, namely epimedin A, epimedin B, epimedin C, icariin, ecdysterone, calycosin, calycosin-7-glucoside, ononin, and ginsenoside Ro. Fragment patterns and characteristic ions of representative compounds with different chemical structure types were analyzed. At the same time, 20 prototype compounds and 42 metabolites were detected in rat serum. Oxidation, hydration, reduction, dehydration, glutathione S-conjugation, and acetylcysteine conjugation were the main transformation reactions of GSL in rat serum. In this research, the rapid method to characterize the in vitro and in vivo chemical constituents of GSL can not only be used for the standardization and quality control of GSL but also be helpful for further research on its pharmacodynamic material basis.

[Predictive analysis on Shenmai injection-induced adverse reactions with Logistic model and ROC curve].

To study relevant risk factors of Shenmai injection induced adverse reactions by using Logistic model and ROC curve, and made the prediction for the occurrence of relevant adverse reactions/events. Case data of patients treated with Shenmai injection were collected by using the prospective, multi-center, large-sample, nested-case control method, in order to analyze the risk factors of Shenmai injection-induced adverse reactions/events, establish the logistic model and draw the receiver operating characteristic (ROC) curve for risk factors. During the study, 7632 patients (including 3 477 males and 4 155 females) were included, and eight of them suffered adverse reactions/events. Based on a multi-factor Logistic model analysis, the age (> or = 50 years) (OR = 5.061, 95% CI: 2.197-7.924; P = 0.001), the total number of medication days (OR = -1.020, 95% CI: -l.652 - 0.388; P = 0.002) and the single dose (OR = 0.245, 95% CI: 0.127-0.364; P = 0.000) were significant independent risk factors for Shenmai injection-induced adverse reactions/events. According to the results, ROC curves were drawn with age (> or = 50 years), the total number of days of inedication and single dose; The area under ROC curves the joint predictor (0.9753, 95% CI: 0.9443-1.000, P < 0.005) was larger than that of the other three single indexes, with a higher risk prediction value. The independent risk factors for Shenmai injection-induced adverse reactions/events included the age (> or = 50 years), the total number of days of medication and single dose. In clinical practice, the age (> or = 50 years), the total number of days of medication and the medication dose can be substituted in the joint predictor calculation formula (P = 1 / [1 + e(-(-21.58 + 5.061 x Xage - 1.020 x Xd + 0.245 x X(mL)] to predict the potential adverse reactions of patients and adjust the dosage regimen.