OBJECTIVE To investigate a dynamic monitoring of drug consumption （DMDC） model based on the seasonal Mann-Kendall trend test， aiming to provide scientific evidence for the efficient and macroscopic monitoring of drug use. METHODS A monitoring list of key outpatient drugs was established based on the top 20% of drugs ranked by sales volume in the outpatient pharmacy in October 2024. A DMDC model based on the Mann-Kendall trend test was constructed using the monthly usage data of key outpatient drugs from November 2021 to October 2024， aiming to eliminate the impact of seasonal fluctuations and analyze the temporal trends in drug consumption. Taking mucolytic expectorants， triazole derivatives for dermatophytosis， and single-agent hydroxymethylglutaryl coenzyme A （HMG-CoA） reductase inhibitors as examples， the monitoring effectiveness of the DMDC model was demonstrated， and its performance was compared with that achieved by the traditional sequential growth rate ranking method. RESULTS A total of 215 drug varieties were included in the monitoring list， and DMDC models were successfully established for all of them. Among these， 119 showed a significant increasing trend （P＜0.05， S′＞0）. The model successfully monitored the monthly consumption of mucolytic expectorants， triazole derivatives for dermatophytosis， and single- agent HMG-CoA reductase inhibitors. The precision and recall rates of the DMDC model for identifying abnormal drug use were 60.7% and 85.0%， respectively， both significantly higher than those of the sequential growth rate ranking method （8.3% and 15.0%， respectively） （χ2＝20.114， P＜0.001； χ2＝19.600， P＜0.001）. CONCLUSIONS DMDC model based on the seasonal Mann-Kendall trend test can effectively identify long-term trends in drug consumption， eliminate seasonal interference， enhance monitoring accuracy and management efficiency， and is suitable for the dynamic monitoring of drug consumption.

OBJECTIVE To explore the correlation between drug consumption index and diagnosis related groups （DRG） overspending cases， and provide a basis for hospitals to optimize the cost structure and strengthen the refined management. METHODS Based on the data of DRG patients enrolled in a third-grade class A hospital from September to November 2023， the multivariate Logistic regression model and restricted cubic spline （RCS） model were used to analyze the correlation of drug consumption index with DRG overspending cases and its threshold effect， respectively. At the same time， rational drug use evaluation was conducted based on the drug consumption index， precise cost control and management were carried out， and the changes in the main pharmaceutical indicators of the whole hospital were analyzed before control （January-June 2023） and after control （January-June 2024）. RESULTS The results of multivariate Logistic regression analysis showed that long hospitalization days， high drug consumption index， transfer to other departments and combined diabetes mellitus were the risk factors for DRG overspending （P＜0.05）. The results of the RCS model showed that the drug consumption index had a non-linear relationship with DRG overspending. When the drug consumption index was ≥0.64， the drug consumption index was positively correlated with the risk of DRG overspending（P＜0.05）. Compared with the same period before the control， medical cost per time， drug cost per time and drug consumption index decreased significantly after the control （P＜0.01）. CONCLUSIONS The drug consumption index is a risk factor for DRG overruns， there is a non-linear relationship and threshold effect between it and DRG overruns. Each hospital can set a reasonable threshold and implement dynamic monitoring and intervention by comprehensively considering the actual drug usage， disease spectrum characteristics， and cost control targets， as well as factors such as medical quality， patient needs， and the payment capacity of medical insurance， which can effectively achieve precise control over drug usage.

Precancerous lesions of gastric cancer （PLGC） are a group of pathological changes caused by abnormalities in the structure， morphology， and differentiation of gastric mucosal epithelial cells. Since the early symptoms are hidden and non-specific， PLGC is not easy to be diagnosed and it has often developed into intermediate or advanced gastric cancer once being diagnosed and missed the best time for treatment. Accordingly， the incidence of this disease is increasing year by year， which lifts a heavy burden on the patients. The pathogenesis of PLGC is complex， involving inflammatory microenvironment， bile reflux， glycolysis， autophagy， and apoptosis. Currently， PLGC is mainly treated with anti-inflammatory and endoscopic therapies， which are difficult to curb the development of PLGC. Therefore， seeking a safe and effective therapy is an important topic of modern research. Traditional Chinese medicine （TCM）， characterized by treatment based on syndrome differentiation and a holistic view， exerts effects via multiple pathways， mechanisms， and targets. Recent studies have confirmed that TCM can regulate the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR）， Wnt/β-catenin， Sonic Hedgehog， nuclear factor-κB （NF-κB）， Janus kinase/signal transducer and activator of transcription （JAK/STAT）， hypoxia-inducible factor-1α （HIF-1α）， neurogenic locus notch homolog protein （Notch）， nuclear factor E₂-related factor 2 （Nrf2） and other signaling pathways. By targeting these pathways， TCM can inhibit aerobic glycolysis， reduce oxidative stress， repair the inflammatory microenvironment， regulate cellular autophagy， and promote vascular normalization， thereby delaying or reversing PLGC. However， few researchers have systematically summarized the TCM regulation of PLGC-associated pathways. By reviewing the relevant articles at home and abroad， this paper summarized the roles of the above signaling pathways in the development of PLGC and the research progress in the regulation of signaling pathways by TCM in the treatment of PLGC， with a view to providing a new theoretical basis for the clinical research on PLGC and the drug development for this disease.

Objective To explore the expression characteristics of BAIAP2L1 in cervical cancer (CC) and its regulatory role in tumor cell metastasis. Methods The correlation between BAIAP2L1 expression and clinical prognosis was analyzed by using a public database. GO pathway enrichment and clinicopathological correlation analyses were conducted by employing R language. The effect of BAIAP2L1 knockdown on CC cell proliferation, invasion, migration, and epithelial-mesenchymal transition (EMT) were further investigated through gene silencing approaches. Results BAIAP2L1 expression was significantly upregulated in CC tissues (P_adj <0.001) and it was identified as an independent risk factor for patient mortality (HR=2.808, P=0.03). Elevated BAIAP2L1 levels showed significant correlations with poor overall survival, advanced T/N stage, recurrence, and metastasis (all P<0.05). Functional enrichment analysis revealed its involvement in tumor metastasis-related pathways. The knockdown of BAIAP2L1 significantly attenuated CC cell proliferation, invasion, and migration and suppressed key EMT processes (all P<0.05). Conclusion BAIAP2L1 is overexpressed in CC tissues and associated with patient prognosis and metastasis. The targeted inhibition of BAIAP2L1 can effectively curb tumor progression.

Objective To evaluate the anticoagulation efficacy of non-vitamin K antagonist oral anticoagulants (NOACs) and vitamin K antagonists (VKAs) in patients with high-risk atrial fibrillation (AF) undergoing transcatheter aortic valve implantation (TAVI). Methods A computer-based search was conducted on PubMed, EMbase, The Cochrane Library, CNKI, SinoMed, and VIP databases to identify studies on the application of NOACs and VKAs in high-risk AF patients after TAVI. The search period was from database inception to January 2023. The quality of the included studies was assessed using the Cochrane risk assessment tool and the Newcastle-Ottawa Scale (NOS). Meta-analysis was performed using RevMan 5.4 software. Results A total of 7 studies involving 24 592 patients were included. The meta-analysis results showed that compared to patients using VKAs, those treated with NOACs had a significantly lower risk of all-cause mortality [RR=0.74, 95%CI (0.58, 0.94), P=0.01]. Subgroup analysis indicated that when the follow-up period was less than 1 year, there was no significant difference in all-cause mortality between the NOAC and VKA groups [RR=0.57, 95%CI (0.17, 1.88), P=0.35]; however, when the follow-up period was ≥1 year, the VKA group had a higher all-cause mortality rate than the NOAC group, with a statistically significant difference [RR=0.73, 95%CI (0.57, 0.95), P=0.02]. No significant differences were found between the two groups regarding early stroke [RR=0.50, 95%CI (0.19, 1.28), P=0.15], stroke during follow-up [RR=1.04, 95%CI (0.88, 1.22), P=0.64], bleeding [RR=0.94, 95%CI (0.73, 1.21), P=0.61], major or life-threatening bleeding [RR=0.80, 95%CI (0.49, 1.31), P=0.38], or acute kidney injury [RR=0.51, 95%CI (0.16, 1.59), P=0.24]. Conclusion Compared to VKAs, the use of NOACs in patients with high-risk AF undergoing TAVI may reduce the risk of all-cause mortality, especially during long-term anticoagulation therapy, potentially offering greater benefits. However, further evidence from randomized controlled trials is needed to confirm these findings.

ObjectiveThis study aims to investigate the molecular mechanism by which Guizhi Fulingwan （GFW） inhibits ferroptosis in endometriosis （EMT） through the regulation of the hypoxia inducible factor-1α/heme oxygenase 1 （HIF-1α/HO-1） signaling pathway. MethodsMachine learning was employed to identify ferroptosis-related biomarkers associated with EMT. Network pharmacology was utilized to identify the active components of GFW and its potential therapeutic targets against EMT， including core targets. Functional enrichment analysis was conducted to explore the biological processes， molecular functions， cellular components， and signaling pathways associated with the potential targets. An EMT rat model was established via autologous transplantation. Thirty female Sprague-Dawley （SD） rats were randomly divided into five groups： sham-operated， model， positive control （dienogest at 0.2 mg·kg^-1）， low-dose GFW （2.5 g·kg^-1）， and high-dose GFW （5 g·kg^-1）. After modeling， the rats received their respective treatment by oral gavage for 28 consecutive days， while the sham and model groups received equal volumes of distilled water. Serum and ectopic endometrial tissues were collected. Hematoxylin and eosin （HE） staining was employed to evaluate morphological alterations in ectopic lesions. Quantitative real-time polymerase chain reaction （Real-time PCR） and Western blot were conducted to assess mRNA and protein expression of HIF-1α， HO-1， glutathione peroxidase 4 （GPX4）， spermidine/spermine N1-acetyltransferase （SAT1）， and prostaglandin-endoperoxide synthase 2 （PTGS2）. Tissue levels of malondialdehyde （MDA）， glutathione （GSH）， and ferrous iron （Fe²⁺） were quantified using commercial assay kits. Serum levels of interleukin-6 （IL-6） and transforming growth factor-β₁ （TGF-β₁） were measured via enzyme-linked immunosorbent assay （ELISA）. ResultsFive ferroptosis-related biomarkers in EMT were identified： ALOX12， CHAC1， SAT1， AST1， and HO-1. Network pharmacology analysis revealed 42 active components of GFW and 192 potential therapeutic target genes related to EMT treatment， with FOS， JUN， HO-1 identified as core targets. Functional enrichment analysis indicated that the potential targets were primarily involved in oxidative stress response and reactive oxygen species metabolism and were enriched in the HIF-1 signaling pathway. Compared to the sham-operated group， the model group exhibited significant increases in both mRNA and protein expression of HIF-1α， HO-1， and PTGS2， as well as elevated tissue levels of Fe²⁺ and MDA. Conversely， GSH levels and the expression of GPX4 and SAT1 were markedly reduced， and serum levels of IL-6 and TGF-β₁ levels were significantly higher （P<0.01）. Compared with the model group， all GFW-treated groups showed significant downregulation of HIF-1α and HO-1， reduced Fe²⁺ levels， and downregulated expression of MDA， PTGS2， IL-6， and TGF-β₁. Meanwhile， GSH， GPX4， and SAT1 expression levels were significantly increased （P<0.05， P<0.01）， effectively ameliorating iron overload and oxidative stress， thereby demonstrating therapeutic efficacy in EMT， with the high-dose GFW demonstrating the most pronounced therapeutic effects. ConclusionGFW exerts therapeutic effects on endometriosis by regulating the HIF-1α/HO-1 signaling pathway to rectify iron metabolism disorders and attenuate free iron-induced oxidative damage. It upregulates the antioxidative defense system to inhibit lipid peroxidation cascades and modulates inflammatory cytokine networks. These effects collectively disrupt the pathological interaction between ferroptosis and chronic inflammation， providing a novel theoretical foundation for the clinical application of GFW in EMT treatment.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

BACKGROUND: Stroke is the leading cause of death and long-term disability worldwide, including China. This study aimed to provide timely updates on stroke burden and stroke-related risk factors to help improve population-based prevention and control strategies. METHODS: Based on the Global Burden of Disease study 2021, incidence rate, prevalence rate, mortality rate, and disability-adjusted life-year (DALY) rate were used to estimate stroke burden trend from 1990 to 2021. RESULTS: In 2021, China had 4.1 million incident stroke cases, 26.3 million prevalent stroke cases, 2.6 million stroke related deaths, and 53.2 million stroke related DALYs, compared to 11.9 million incident stroke cases, 93.8 million prevalent stroke cases, 7.3 million stroke related deaths, and 160.5 million stroke-related DALYs worldwide. In 2021, the top six risk factors contributing to stroke burden were high blood pressure, air pollution, tobacco consumption, dietary risk factors, high low-density lipoprotein cholesterol, and high fasting plasma glucose, both in China and worldwide. From 1990 to 2021, China had significant increases of incidence rate, prevalence rate, mortality rate, and DALY rate for stroke, with estimates of 100.6 (95% uncertainty intervals [UI]: 87.2, 114.1)%, 102.9 (95% UI: 95.5, 110.9)%, 40.0 (95% UI: 14.9, 72.3)% and 15.7 (95% UI: -4.6, 41.2)%, respectively, while global incidence rate, prevalence rate, mortality rate and DALY rate for total stroke showed relatively moderate increases or even decreases, with estimates of 15.0 (95% UI: 12.1,18.0)%, 25.8 (95% UI: 23.7, 28.0)%, -2.6 (95% UI: -10.6, 5.5)%, and -10.7 (95% UI: -17.7, -3.6)%, respectively. CONCLUSION Stroke remains a huge disease burden worldwide and in China, and compared to the worldwide China has a significantly higher burden of stroke.
Humans ; Stroke/etiology* ; China/epidemiology* ; Risk Factors ; Global Burden of Disease ; Disability-Adjusted Life Years ; Prevalence ; Incidence ; Female ; Quality-Adjusted Life Years ; Male

OBJECTIVE To explore the effects of prescription pre-review system on rational drug use and off-label drug use management in outpatient and emergency department. METHODS A retrospective analysis was conducted on outpatient and emergency department prescription data from three phases in our hospital： January to May 2023 （silent review phase， control group）， June to October 2023 （systematic automatic review phase， intervention group 1）， and November 2023 to March 2024 （phase combining systematic automatic review with centralized feedback from pharmacists to physicians regarding irrational prescriptions， intervention group 2）. These phases followed the implementation of our hospital’s pre-prescription review software. Statistical analysis of the prompt rate of alert， rate of irrational prescriptions， registered the off-label drug use rate and false positive irrationality prescription rate were conducted. Meanwhile， the composition of irrational prescriptions was analyzed， and evidence- based evaluation of the off-label drug use proposed by clinicians was also conducted. RESULTS Compared with control group， the prompt rate of alert and the rate of irrational prescriptions in intervention group 1 were all decreased significantly after receiving pop-up notification， with statistically significant differences （P＜0.05）. With the help of system warning and the pharmacists feedback， the prompt rate of alert and the rate of irrational prescriptions declined further in the intervention group 2， but there was no statistically significant difference when compared with intervention group 1 （P＞0.05）. The main type of irrational drug use was improper administration routes. When comparing intervention group 1 with the control group， as well as intervention group 2 with intervention group 1， a significant decrease in the rate of improper administration routes was observed， with statistically significant differences （P＜0.05）. Compared with control group， there was no significant difference in the registered off-label drug use rate of intervention group 1 and intervention group 2 （P＞0.05）. The doctor’s awareness of off-label drug use registration increased due to the real-time alerts from the pre-prescription review software， along with the pharmacists’ regular summarization and feedback. Total 13 items registrations of off-label drug use were proposed by clinicians from June 2023 to March 2024， all of which were supported by evidence of varying levels； among them， 3 items received FDA approval， 4 items were included in the Micromedex database， and the remaining 6 items were supported by evidence from system reviews or randomized controlled trials. CONCLUSIONS Prescription pre-review system can improve the level of rational drug use and assist in the standardized management of off-label drug use.

Oral squamous cell carcinoma (OSCC) is a malignant tumor that seriously threatens human health. Its typical biological characteristics include strong local invasiveness, high lymph node metastasis rate, and high recurrence rate after treatment. Hepatocyte growth factor (HGF), cellular-mesenchymal to epithelial transition factor (c-Met), and the HGF/c-Met signaling pathway are involved in the regulation of the occurrence and development of OSCC. HGF and c-Met proteins are overexpressed in OSCC, and multiple studies have suggested that they are significantly associated with the malignant characteristics of tumors and poor prognosis. Furthermore, the abnormal activation of the HGF/c-Met signaling pathway (driven by HGF-dependent autocrine/paracrine or non-dependent mechanisms such as MET gene mutations, amplification, fusion, and protein overexpression) can synergistically promote tumor cell invasion, metastasis, and angiogenesis by activating downstream signaling pathways. However, HGF/c-Met can also mediate immune escape by promoting lactate secretion increase, inducing programmed death ligand 1 (PD-L1) expression upregulation, activating and expanding myeloid-derived suppressor cells, and promoting the proliferation of regulatory T cells (Tregs). In addition, the crosstalk between the HGF/c-Met signaling pathway and key pathways such as phosphatidylinositide 3-kinases (PI3K)/protein kinase B (AKT), epidermal growth factor receptor (EGFR), Janus kinase (JAK)/signal transducer and activator of transcription (STAT3), and non-coding RNAs can also promote tumor progression. Currently, three types of targeted drugs have been developed targeting the HGF/c-Met pathway: HGF monoclonal antibody, c-Met monoclonal antibody, and tyrosine kinase inhibitors. Some of these drugs have entered clinical trials. However, the emergence of drug resistance during treatment, especially the bidirectional compensatory activation of alternative signaling pathways such as EGFR, has become a major challenge in clinical practice. This article aims to provide an in-depth analysis of the mechanism of action of the HGF/c-Met pathway in OSCC and its interaction with other pathways, and to review the current research status of existing therapeutic drugs. The aim is to provide an important theoretical basis for developing more effective combined treatment strategies and achieving individualized precise treatment, ultimately improving the clinical prognosis and quality of life of patients.