Objective To explore the effectiveness of the cumulative sum (CUSUM) and the exponentially weighted moving average (EWMA) for early warning of influenza epidemic using two datasets of reported influenza cases and influenza-like illness (ILI) cases. Methods Using the reported cases of influenza and ILI in Daxing District, Beijing, from week 23 of 2018 to week 22 of 2024 as data sets, the CUSUM and EWMA models were established, respectively. The positive rate of influenza etiology was used as the ^“gold standard^”, and the Youden index was used as the evaluation index to compare the early warning effect of the two models under different data sets and different parameters. Results In CUSUM, the optimal Youden indices of the reported influenza cases set and the ILI cases set were 0.751 and 0.635, respectively. In EWMA, the optimal Youden indices of the reported influenza cases set and the ILI cases set were 0.544 and 0.464, respectively. The optimal EWMA and CUSUM models could both issue early warning signals in advance of the ^“gold standard^”. Conclusion In the influenza epidemic early warning in Daxing District, Beijing, the CUSUM model established with the reported cases of influenza can achieve good early warning effects, but the model parameters need to be dynamically adjusted according to the local epidemic characteristics.

In recent years， traditional Chinese medicine （TCM） has achieved significant progress in the treatment of inflammatory bowel disease （IBD）. A comprehensive literature search was conducted covering the period from January 1， 2010， to December 30， 2024， across Chinese databases including China National Knowledge Infrastructure （CNKI）， Wanfang Data， VIP China Science and Technology Journal Database， and the Chinese Biomedical Literature Service System， as well as international databases such as PubMed， Web of Science， and Embase. The clinical applications and mechanistic studies of TCM in IBD were systematically reviewed. The current status of TCM research on the etiology and pathogenesis of IBD， innovative clinical practices， and multimodal therapeutic approaches， including Chinese herbal formulas， single herbs or active compounds， acupuncture， herbal retention enema， and acupoint application， were summarized， together with their synergistic effects when combined with western medical treatments. The development and application of Chinese patent medicines for IBD are undergoing a profound transition from efficacy validation to mechanistic exploration. Mechanistic studies on the effects of TCM in IBD mainly focus on regulating gut microbiota homeostasis， repairing the intestinal mucosal barrier， and modulating intestinal immune balance. Furthermore， future research directions for TCM-based IBD management are proposed， including the establishment of TCM diagnostic and treatment models， expanding integrated applications of external and internal TCM therapies， innovating personalized treatment strategies， and advancing drug development. These efforts aim to provide insights for the standardized and precision-oriented development of TCM in the diagnosis and treatment of IBD.

ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.

ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.

Plant-derived extracellular vesicles (PDEVs) are nanoscale extracellular vesicles secreted by plant cells, characterized by a lipid bilayer structure. These vesicles carry a variety of bioactive molecules, including proteins, nucleic acids, and lipids, and play essential roles in intercellular communication and physiological regulation in plants. Compared to animal-derived extracellular vesicles, PDEVs offer several advantages, such as a broad range of sources, high biocompatibility, low immunogenicity, and low production costs. Furthermore, PDEVs have demonstrated remarkable potential as natural nanocarriers for drug delivery, due to their ability to efficiently traverse biological barriers, such as the blood-brain barrier, making them promising candidates for drug delivery systems. This review systematically elaborates on the complex composition of PDEVs, which consists of lipids, proteins, and nucleic acids, the typical structural characteristics of their lipid bilayers ranging from 30 to 150 nm, and their versatile loading capabilities as drug carriers, efficiently encapsulating various types of therapeutic agents such as hydrophilic small molecules, hydrophobic drugs, nucleic acids, and proteins. We systematically summarize the recent advancements in strategies for enhancing the loading efficiency of PDEVs, which include methods such as co-incubation, ultrasound-assisted loading, electroporation, freeze-thaw cycles, and microfluidic technology. These techniques are evaluated based on their underlying principles, suitable drug types, and their respective advantages. In addition to loading strategies, we focus on the engineered approaches to achieve targeted delivery using PDEVs, such as genetic engineering modifications, chemical ligand conjugation, membrane fusion technology, and polyethylene glycol (PEG) modification. We discuss the mechanisms of these strategies in enhancing targeting efficiency, prolonging in vivo circulation time, and improving therapeutic efficacy. Further, this review highlights the application of PDEVs in various disease models, including tumor, skin inflammation, metabolic disorders, and neurodegenerative diseases, showcasing their therapeutic potential as multifunctional delivery platforms. The ability of PDEVs to encapsulate diverse therapeutic agents and target specific tissues or cells opens up new avenues for the treatment of complex diseases, offering advantages over conventional drug delivery systems. However, despite the promising applications of PDEVs, several challenges remain in their development and clinical translation. These challenges include variability in source materials, standardization of preparation processes, quality control, scalability of production, and the need for clinical validation. To overcome these obstacles, the integration of advanced technologies such as artificial intelligence-assisted design and multi-omics analysis is proposed as a way to facilitate the precise development of PDEVs. These emerging technologies hold the potential to further enhance the precision and effectiveness of plant-based drug delivery systems, ultimately advancing the field of precision medicine. In conclusion, the use of PDEVs as a platform for drug delivery represents a promising area of research with the potential to revolutionize therapeutic strategies. Their ability to encapsulate and deliver a wide variety of bioactive molecules, along with their inherent advantages in biocompatibility and versatility, makes them a valuable tool in the development of more efficient and targeted therapeutic interventions. Continued research and innovation in this field will pave the way for the clinical implementation of PDEVs in the treatment of various diseases, offering new hope for more effective and sustainable therapeutic options.

ObjectiveTo explore the effectiveness of feedforward control mode on improving occupational burnout among operating room nurses through theoretical research and clinical practice， with a view to promoting their physical and mental health and enhancing the quality of surgical nursing. MethodsA total of 440 operating room nurses from different regions， scales， and nursing experiences in Shaanxi Province from November 2023 to December 2023 were randomly divided into an experimental group and a control group， with 220 nurses in each group. While the control group received routine intervention measures， the experimental group introduced a feedforward control mode based on the control group， with “emotional exhaustion，” “depersonalization，”and“personal achievement” as observation indicators. ResultsThe incidence of occupational burnout in the experimental group was 11.4%， while that in the control group was 20.0%. The experimental group showed a significantly lower incidence than the control group （P=0.013）. ConclusionThe feedforward control mode can significantly alleviate nurses’ sense of job burnout， promote the improvement of surgical nursing quality， as well as continuously improve the scientific rigor， advancement， and humanistic nature of nursing services， which is conducive to building a harmonious and efficient nursing team. The spirit of teamwork， reflected in mutual support， mutual trust， and joint efforts for surgical success and patient health， has become an important component of nurses’ professional ethics.

Objective To analyze the characteristics of methadone-related poisoning cases and provide a reference for forensic identification.Methods A total of 71 cases of methadone-related poisoning re-ported from 1998 to 2023 in China and 26 cases of methadone-related deaths reported from 2013 to 2018 in Italy were retrieved from databases including PubMed,Wanfang and CNKI.The general infor-mation,forensic pathological and toxicological characteristics were analyzed.Results Among the 71 methadone-related poisoning cases in China,there were 54 cases(76.06%)of poisoning without death and 17 cases(23.94%)of death from poisoning.There were 54 male cases(76.06%),and 51 cases(71.83%)aged 19 to 39 years old.There were 35 cases(49.30%)of poisoning caused by methadone alone,and 32 cases(45.07%)were poisoning caused by methadone combined with other substances or drugs including heroin and benzodiazepines.Most of the poisoned showed coma,respiratory depres-sion and miosis.Signs of asphyxia were often found by autopsy.The mass concentration of methadone detected in the blood of 6 deceased ranged from 0.112 to 3.000 mg/L.Among the 26 methadone-related deaths in Italy,22 cases were male(84.62%).There were 6 cases(23.08%)caused by methadone alone,and 20 cases(76.92%)died from methadone combined with other substances or drugs.The mass concentration of methadone in blood ranged from 0.181 to 4.059 mg/L.Conclusion The propor-tions of poisoning cases caused by methadone alone and methadone combined with other substances or drugs are comparable in China.The majority of deceased caused by methadone poisoning shows typi-cal triad of coma,respiratory depression and miosis,which helps forensic experts determine the cause of death related to methadone.Additionally,it is necessary to increase the routine testing of the con-centration of methadone and its combined substances or drugs in deceased,and collect data for the in-terpretation of the results of related cases.

Objective:To analyze the relevant factors affecting treatment compliance in infertile patients with mycoplasma infection, construct a nomogram prediction model and validate it.Methods:In this case-control study, we retrospectively analyzed the clinical data of 400 infertile patients who attended the Department of Reproduction of Ganzhou Maternal and Child Health Hospital, Jiangxi Province from April 2022 to March 2024. They were divided into modeling group ( n=280) and validation group ( n=120) according to the 7∶3 principle with random number method, and further divided into complete compliance subgroup and unstable compliance subgroup based on different levels of compliance. Multiple logistic regression model was used to analyze the risk factors affecting treatment adherence in infertile patients with mycoplasma infection, variance inflation factor was used to assess the collinearity of the independent variables and to construct a columnar plot prediction model, and the validation and predictive efficacy of the columnar plot model were assessed by calibration curves and decision curves, respectively. The validation and predictive efficacy of the column chart model were evaluated by calibration curve and decision curve respectively. Results:In the modeling group, there was no significant statistical difference between the fully compliant group and the unstable compliant group in terms of body mass index, place of residence, occupation, settlement form, and attitude of medical staff (all P>0.05). Age in the unstable adherence subgroup [(33.22±3.20) years], proportion of junior high school and below in education [36.81% (67/182)], proportion of average monthly disposable amount ≤2 000 yuan [36.81% (67/182)], proportion of poor disease awareness [62.09% (113/182)], and infertility related stress scale (IRSS) scores (45.60±17.14) were higher than those in the full adherence subgroup [(31.36±3.24) years, P<0.001; 19.39% (19/98), P=0.003; 16.33% (16/98), P<0.001; 28.57% (28/98), P<0.001; 37.64±16.69, P<0.001]. The receiver operating characteristc curve analysis results showed that the optimal cutoff values for age and IRSS score were 32 years old and 42 points, respectively. The results of logistic multiple regression model showed that: age ( OR=1.453, 95% CI: 1.260-1.794, P=0.002), education level ( OR=1.386, 95% CI: 1.185-1.564, P<0.001), average monthly disposable amount ( OR=1.081, 95% CI: 1.002-1.246, P=0.023), disease awareness level ( OR=1.827, 95% CI: 1.390-2.359, P<0.001), and average monthly disposable amount ( OR=1.081, 95% CI: 1.002-1.246, P=0.023), disease awareness ( OR=1.827, 95% CI:1.390-2.359, P<0.001), and IRSS score ( OR=1.590, 95% CI: 1.255-1.902, P=0.006) were independent risk factors affecting treatment adherence in infertile patients with mycoplasma infection. The modeling group C-index was 0.872 (0.816-0.927), the intercept (-0.004) and slope (0.995) of the calibration curve were close to the desirable values of 0 and 1, the Brier score was 0.017, and thresholds between 0.37 and 0.96 provided a net clinical benefit. The C-index of the test model set was 0.816 (0.736-0.896), the intercept (-0.007) and slope (1.015) of the calibration curve were close to the ideal values of 0 and 1, the Brier score was 0.013, and the threshold value provided a net clinical benefit when the threshold value ranged from 0.21 to 0.98, and the H-L goodness-of-fit test showed that χ 2=7.36, P=0.499, and the constructed predictive model for the column line graphs had good discrimination and consistency. Conclusion:Age, educational level, monthly average disposable income, disease awareness, and IRSS score are the relevant factors affecting treatment compliance in infertile patients with mycoplasma infection. The nomogram prediction model constructed in this study based on those relevant factors has a good predictive value for treatment compliance in infertile patients with mycoplasma infection, and can provide certain reference for clinical intervention measures.

Objective:To analyze the characteristics and general patterns of adverse drug reactions associated with aripiprazole, and to identify potential risk signals, thereby providing references for the safe and rational use of medications in clinical practice.Methods:This is a descriptive study that collected and summarized reports of adverse reactions to aripiprazole submitted by medical institutions in Anhui Province to the National Center for Adverse Drug Reaction Monitoring, China from January 2019 to December 2024. The basic characteristics of patients, the treatment regimens used, the timing of adverse drug reaction occurrence, the clinical manifestations of the affected systems, and the outcomes of these adverse drug reactions were statistically analyzed to identify the clinical characteristics and risk factors of adverse drug reactions associated with aripiprazole.Results:A total of 1 106 adverse reaction case reports related to aripiprazole were collected, with a male-to-female ratio of 1:1.29 ( χ2 = 8.64, P = 0.003) and an average age of (35 ± 16) years. The primary diseases treated included schizophrenia (768 cases, 69.44%), bipolar affective disorder (96 cases, 8.68%), and depressive disorder (75 cases, 6.78%). Adverse reactions occurred within the first 2 weeks of medication in 689 cases (62.29%). All medications were oral formulations, with 978 cases (88.43%) falling within the recommended daily dose range of 10-30 mg/d, while 15 cases (1.36%) exceeding the maximum recommended dose of 30 mg/d. The most common clinical manifestations were related to the nervous system (696 cases, 62.93%), followed by cardiovascular system manifestations (146 cases, 13.20%). The majority of adverse reactions showed improvement or recovery (1 052 cases, 95.12%). Conclusions:Aripiprazole is widely used in clinical practice, and the occurrence of adverse reactions is correlated with patient characteristics and treatment regimens. It is advisable to enhance the rational clinical use and monitoring of aripiprazole. Such measures will aid in preventing or reducing the occurrence of severe adverse reactions.

Objective:To investigate the levels of brain natriuretic peptide(BNP),angiotensin Ⅱ(AngⅡ)and Apelin in hypertensive patients with heart failure and their correlation with cardiac function.Methods:A total of 110 pa-tients with hypertension and heart failure(observation group),110 hypertensive patients(hypertension control group)and 100 healthy subjects undergoing physical examination simultaneously(healthy control group)admitted to Chongming Hospital Affiliated to Shanghai University of Medicine & Health Sciences between January 2021 and Oc-tober 2022 were enrolled.BNP,AngⅡ and Apelin levels were compared among above-mentioned groups.Pearson correlation analysis was employed to analyze association of above indexes with cardiac function.Receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of BNP,AngⅡ and Apelin combination for hy-pertension combined heart failure.Results:Compared with participants in healthy control group and hypertension control group,those in observation group had significant higher BNP,AngⅡ,Apelin and left ventricular end-dias-tolic diameter(LVEDd),and significant lower left ventricular ejection fraction(LVEF)(P＜0.001 all).Pearson correlation analysis showed that BNP,AngⅡ,Apelin were negatively correlated with LVEF(r=-0.607,-0.517,-0.549,P＜0.001 all),while they were positively correlated with LVEDd(r=0.695,0.676,0.677,P＜0.001 all).Compared with patients in class Ⅱ and class Ⅲ groups,those in class Ⅳ group had significant higher BNP[(501.42±65.58)pg/ml vs.(382.59±49.69)pg/ml vs.(409.58±53.58)pg/ml],AngⅡ[(3.24±0.84)ng/ml vs.(0.85±0.24)ng/ml vs.(1.06±0.41)ng/ml],Apelin[(6.53±0.71)pg/ml vs.(3.55±0.29)pg/ml vs.(4.98±0.56)pg/ml](P＜0.001 all).ROC curve indicated that the AUC of the combined diagnosis of BNP,AngⅡ and Apelin for hypertensive patients with heart failure of class Ⅲ～Ⅳ was 0.943(95％CI 0.882～0.978),which was significantly higher than that of single index(Z=2.960,6.099,4.653,P＜0.01 all).Conclusion:BNP,AngⅡ and Apelin combination has good performance in diagnosing hypertension complicated heart failure.