To investigate the therapeutic effect and related mechanisms of hordenine on ovalbumin (OVA)-induced allergic rhinitis (AR) in rats, HE and AB-PAS staining were used to detect the improvement of pathological damage to the nasal mucosa induced by hordenine. ELISA was employed to detect the effect of hordenine on OVA-sIgE in serum and IL-4 in the nasal mucosa supernatant of rats. IHC and Western blot experiments were undertaken to examine the effect of hordenine on Th1/Th2 cell balance. Bioinformatics analysis was performed to predict pathways, which were verified by in vivo and in vitro experiments. The experimental results showed that hordenine could alleviate the behavioral manifestations of OVA-induced AR rats, alleviate nasal mucosal pathological damage caused by AR, and reduce the secretion of OVA-sIgE and IL-4. In addition, hordenine could regulate the Th1/Th2 balance. Bioinformatics analysis results showed that the potential pathway of action of hordenine on AR was the phosphoinositide 3 kinase (PI3K)/protein kinase B (Akt) signaling pathway. The in vivo experimental results showed that the expression of PI3K and p-Akt proteins in the nasal mucosa of the model group rats was significantly increased (P < 0.01), and that the protein expression level was significantly decreased after the administration of hordenine, which was also confirmed by an in vitro experiment. This study suggests that hordenine may regulate Th1/Th2 cell balance through the PI3K/Akt signaling pathway, thereby exerting an alleviating effect on OVA-induced AR.

Objective To analyze the status of persistent human papillomavirus (HPV) infection and the distribution of viral subtypes in the Zhengzhou region. Methods Clinical data of 55239 patients who underwent HPV-DNA genotyping tests from 2018 to 2024 were collected. On the basis of HPV follow-up results, patients were divided into three groups: 849 cases of infection with the same HPV type, 255 cases of persistent infection with different HPV types, and 857 cases of transient HPV infection. Results Among the 9232 initially-screened patients who were positive with HPV, the high-risk HPV (HR-HPV) positive rate was 84.6% (7813/9232), and predominant subtypes were HPV-16 (20.8%), HPV-52 (17.2%), and HPV-53 (9.6%). The low-risk HPV (LR-HPV) positive rate was 15.4% (1419/9232), mainly HPV-81 (28.1%) and HPV-42 (27.0%). Among the 1961 follow-up cases, the rates of persistent and non-persistent infections with the same HPV type were 35.7% (701/1961) and 7.5% (148/1961), respectively. The rates of persistent and non-persistent infections with different HPV types were 10.9% (214/1961) and 2.1% (41/1961), respectively. Meanwhile, 43.7% (857/1961) tested negative upon follow-up. Among the 701 cases of persistent infection with the same HPV type, HR-HPV accounted for 85.7% (601/701), and LR-HPV accounted for 14.3% (100/701). Among the 214 cases of persistent infection with different HPV types, 89.7% (192/214) were high-risk transitions, and 10.3% (22/214) were low-risk transitions. Regardless of HPV types, HR-HPV was more likely to cause persistent infection than LR-HPV. In addition, over 60% of HR-HPV persistent infections resolved within 18 months, 30% developed into persistent infections, and only 15% of patients had persistent infections that last more than 24 months. Conclusion Persistent HPV infections are predominantly high-risk types. Most patients clear the infection within 18 months, approximately 30% develop persistent infections, and about 15% of patients have persistent infections that last more than 24 months. However, the HR-HPV persistent infection rates across different age groups slightly differ.

Objective To explore the relationship between systemic immune-inflammation index(SⅡ)at admission and occurrence of early neurological deterioration(END)in patients with branch atheromatous disease(BAD).Methods A retrospective analysis was performed on 326 BAD patients admitted in Department of Neurology of Handan Central Hospital from October 2021 to February 2024.Based on occurrence of END or not,they were divided into END group(97 cases)and non-END group(229 cases).Clinical data of the patients were collected,and multivari-ate logistic regression analysis was used to identify the END risk variables in BAD patients.ROC curve was plotted to evaluate the value of NIHSS score,hs-CRP and SⅡ in predicting the inci-dence of END in the patients.Results Significantly advanced age,higher NIHSS score at admis-sion,and elevated hs-CRP level,neutrophil count and SⅡ,but lower platelet and lymphocyte counts were observed in the END group than the non-END group(P＜0.05,P＜0.01).Multi vari-ate logistic regression analysis indicated that NIHSS score at admission(OR=1.134,95％CI:1.050-1.226,P=0.001),hs-CRP(OR=1.131,95％CI:1.024-1.249,P=0.015),and SⅡ(OR=1.001,95％CI:1.001-1.002,P=0.003)were independent risk factors for END in BAD patients.The AUC value of SⅡ in the prediction of END was 0.660,which was significantly higher than that of NIHSS score and hs-CRP in BAD patients(P＜0.05).Conclusion SⅡ is an independent risk factor for END in BAD patients,and SⅡ at admission has a certain predictive value for the oc-currence of END in these patients.

Objective:To explore the application value of machine learning prediction model for neural invasion in gallbladder cancer based on enhanced computed tomography (CT) and clinical characteristics.Methods:The retrospective cohort study was conducted. The clinical and imaging data of 502 patients with gallbladder cancer who were admitted to The First Affiliated Hospital of Xinxiang Medical University from January 2010 to June 2024 were collected. There were 171 males and 331 females, aged 65(range, 35?91)years. All patients underwent preoperative abdominal enhanced CT and radical resection. The 502 patients were randomly divided into a training set of 351 cases and a test set of 151 cases at a 7:3 ratio. The training set was used to construct prediction model, and the test set was used to validate prediction model. Observation indicators: (1)neural invasion in gallbladder cancer and influencing factor analysis; (2) construction and validation of machine learning prediction models for neural invasion in gallbladder cancer. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. Logistic regression model was performed for univariate and multivariate analyses. Independent influencing factors were incor-porated to construct machine learning models using the standard library modules based on Python 3.9. Receiver operating characteristic (ROC) curves were plotted, and the accuracy, sensitivity, specificity, area under the curve (AUC), precision, F1 score, positive predictive value, negative predic-tive value, and Kappa value were calculated to evaluate the predictive performance of the models. The Delong test was used to assess the differences in AUC among different models in the test set. The Hosmer-Lemeshow test and Brier score were used to evaluate the calibration of the models. Results:(1) Neural invasion in gallbladder cancer and influencing factor analysis. Of the 502 patients with gallbladder cancer, 131 cases had neural invasion, and 371 cases had no neural invasion. Results of multivariate analysis showed that total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-lymphocyte ratio, liver invasion detected by CT, vascular invasion detected by CT, hilar or retroperi-toneal lymph node metastasis detected by CT, and tumor stages T3 and T4 were independent influencing factors for neural invasion in patients with gallbladder cancer [ odds ratios=3.747, 2.395, 3.917, 3.596, 2.805, 2.377, 3.523, 2.774, 5.080, 6.809, 95% confidence interval ( CI) as 1.890?7.430, 1.154?4.971, 2.054?7.472, 1.807?7.155, 1.506?5.225, 1.241?4.553, 1.666?7.449, 1.483?5.189, 2.050?12.589, 2.552?18.168, P<0.05]. (2) Construction and validation of machine learning predic-tion models for neural invasion in gallbladder cancer. Based on the independent influencing factors, seven machine learning models were constructed, including logistic regression, K-nearest neighbors, support vector machine, random forest, decision tree, back-propagation neural network, and gradient boosting machine. The ROC curves of seven machine learning models in the test set were plotted, and the AUC were 0.900(95% CI as 0.851?0.948), 0.741(95% CI as 0.646?0.829), 0.836(95% CI as 0.762?0.895), 0.782(95% CI as 0.701?0.855), 0.839(95% CI as 0.770?0.901), 0.817(95% CI as 0.738?0.887), 0.843(95% CI as 0.770?0.909), respectively. Results of Delong test showed that the logistic regression model had the highest AUC. The sensitivity and specificity of the logistic regression model were 0.868 and 0.805 respectively, indicating the best balance. Results of Hosmer-Lemeshow test showed that the logistic regression model had a good goodness-of-fit ( χ2=5.320, P>0.05). The Brier score of the logistic regression model was relatively low, as 0.168, which verified its calibration advantage. Conclusion:Total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-to-lymphocyte ratio, liver invasion detected by enhanced CT, vascular invasion detected by enhanced CT, hilar or retroperitoneal lymph node metastasis detected by enhanced CT, and tumor stages T3 and T4 are independent influencing factors for nerve invasion in patients with gallbladder cancer. Seven machine learning models are constructed based on enhanced CT and clinical characteristics to predict neural invasion in gallbladder cancer, of which the logistic regression model demonstrates good predictive performance.

Iatrogenic bile duct injury(IBDI)is a common type of bile duct injury,most frequently occurring during cholecystectomy.With the widespread use of laparoscopic cholecystectomy,its incidence is significantly higher than that of open surgery,and the number of complex cases combined with vascular injury(VI)has been increasing,posing greater challenges for diagnosis and treatment.In severe cases,it may result in hepatic ischemia and atrophy.Hepaticojejunostomy is the standard reconstructive procedure after bile duct injury,whereas hepatectomy may be required when VI is involved.We report the case of a 53-year-old woman who was admitted with bile leakage following cholecystectomy.After two multidisciplinary team(MDT)discussions,preoperative evaluation revealed injury to the right hepatic artery and a portal vein branch,accompanied by atrophy of the right anterior lobe.Based on intraoperative findings,the patient underwent right hepatectomy combined with Roux-en-Y hepaticojejunostomy of the left hepatic duct.Postoperative recovery was uneventful,and the patient remained symptom-free during a 6-month follow-up.By reviewing the diagnosis and management of this case in conjunction with relevant literature,we summarize the clinical features,treatment strategies,and the value of MDT management in complex IBDI,aiming to provide reference for clinical practice.

We report a case of adult-onset Still's disease(AOSD)presenting with fever,myalgia,and pleural effusion.The patient exhibited significantly elevated inflammatory markers and exudative pleural effusion with markedly elevated leukocyte count showing neutrophilic predominance.After comprehensive exclusion of infectious etiologies,the diagnosis of AOSD was established.Clinical symptoms resolved following anti-inflam-matory therapy with glucocorticoids and tocilizumab.This case highlights a critical clinical insight:while infec-tion is a common cause of elevated inflammatory markers,it is not an invariable etiology.In such presentations,meticulous clinical observation,thorough diagnostic screening,and systematic inference are es-sential for accurate diagnosis.

Objective:To analyze the effects of the disease and injury spectrum on health-adjusted life expectancy (HALE) among permanent residents aged 55 and above in Shenzhen from 2016 to 2030.Methods:Based on the mortality surveillance data and the permanent resident population data in Shenzhen from 2016 to 2022, the Sullivan method was used to calculate the HALE during 2016—2022. The Bayesian age-period-cohort model and the grey system model were used to predict the HALE during 2023—2030. The HALE changes in the two periods were decomposed into the contributions of 20 categories of diseases and injuries, respectively.Results:From 2016 to 2022, the HALE increased from 31.41 years (95% CI: 30.50-32.32) to 33.57 years (95% CI: 32.47-34.67). During this period, the mortality effect of neurological disorders slowed the increase of HALE, with a reduction of 0.27 years. By 2030, it is anticipated that the HALE will reach 36.40 years (95% CI: 34.78-38.01). This is expected to be influenced by the mortality effects of nutritional deficiencies (-0.40 years) and mental disorders (-0.29 years), as well as the disability effects of musculoskeletal disorders (-0.66 years), skin and subcutaneous diseases (-0.21 years) and nutritional deficiencies (-0.13 years). Conclusion:The HALE of permanent residents aged 55 years and above in Shenzhen demonstrated an increasing trend over time. Greater attention should be paid to the adverse effects of neurological disorders, nutritional deficiencies, mental disorders, musculoskeletal disorders, and skin and subcutaneous diseases on the continuous increase of HALE in this population.

Objective:To clarify the content on exercise training in patients with connective tissue disease-associated pulmonary arterial hypertension through a scoping review.Methods:Using the scoping review methodological framework proposed by Arksey and O'Malley as a guide, Chinese and English databases such as PubMed, Embase, Wanfang Data, and China National Knowledge Infrastructure were searched to screen the literature on exercise training for patients with connective tissue disease-associated pulmonary arterial hypertension. The search period was from database establishment to April 30, 2024. Two researchers extracted basic information of the included literature, content of the pre-exercise training assessment, exercise training program, and outcome indicators.Results:A total of 13 articles were included. The content of the pre-exercise training assessment in patients with connective tissue disease-associated pulmonary arterial hypertension was not standardized. The type of exercise training was based on aerobic, resistance and respiratory training, with a focus on home exercise. The main outcome indicators included the 6-minute walk distance, cardiopulmonary function, quality of life, and muscle strength.Conclusions:There are various types of exercise training for patients with connective tissue disease-associated pulmonary arterial hypertension, which are safe and feasible. Future research should focus on conducting home-based exercise training programs and constructing core outcome indicators to assess the effectiveness of exercise training.

Objective To explore the relationship between systemic immune-inflammation index(SⅡ)at admission and occurrence of early neurological deterioration(END)in patients with branch atheromatous disease(BAD).Methods A retrospective analysis was performed on 326 BAD patients admitted in Department of Neurology of Handan Central Hospital from October 2021 to February 2024.Based on occurrence of END or not,they were divided into END group(97 cases)and non-END group(229 cases).Clinical data of the patients were collected,and multivari-ate logistic regression analysis was used to identify the END risk variables in BAD patients.ROC curve was plotted to evaluate the value of NIHSS score,hs-CRP and SⅡ in predicting the inci-dence of END in the patients.Results Significantly advanced age,higher NIHSS score at admis-sion,and elevated hs-CRP level,neutrophil count and SⅡ,but lower platelet and lymphocyte counts were observed in the END group than the non-END group(P＜0.05,P＜0.01).Multi vari-ate logistic regression analysis indicated that NIHSS score at admission(OR=1.134,95％CI:1.050-1.226,P=0.001),hs-CRP(OR=1.131,95％CI:1.024-1.249,P=0.015),and SⅡ(OR=1.001,95％CI:1.001-1.002,P=0.003)were independent risk factors for END in BAD patients.The AUC value of SⅡ in the prediction of END was 0.660,which was significantly higher than that of NIHSS score and hs-CRP in BAD patients(P＜0.05).Conclusion SⅡ is an independent risk factor for END in BAD patients,and SⅡ at admission has a certain predictive value for the oc-currence of END in these patients.

OBJECTIVE To provide technical support for improving recognition rate of adverse drug events （ADEs） related to traditional Chinese medicine （TCM） formula granules and decoction pieces among inpatient patients. METHODS By referencing the global trigger tool （GTT） whitepaper， literature on adverse reactions to TCM， and expert review opinions， ADE trigger items for TCM formula granules and decoction pieces used in the inpatients were established. GTT was applied to analyze ADEs in inpatients who had used TCM formula granules and decoction pieces in our hospital from August 2013 to August 2023， utilizing the Chinese Hospital Pharmacovigilance System. The effectiveness of GTT and the characteristics of these ADEs were analyzed. RESULTS A total of forty-eight triggers were established， including thirty-two laboratory test indexes， thirteen clinical symptoms， and three antidotes. Among the 1 682 patients included， GTT identified 652 potential ADEs， 284 true positive ADEs，with a trigger rate of 38.76% and a positive predictive value of 43.56%. After review by the auditor， 278 cases of ADEs were finally confirmed， with an incidence rate of 16.53%， significantly higher than the number of spontaneously reported ADEs during the same period （0）. The 278 cases of ADEs were mostly grade 1 （223 cases）， mainly involving hepatobiliary system， gastrointestinal system， blood- lymphatic system， etc；a total of 219 types of TCMs are involved，and the top five suspected TCMs used at a frequency higher than 1% were Poria cocos， Codonopsis pilosula， Atractylodes macrocephala， fried Glycyrrhiza uralensis， and Scutellaria baicalensis. CONCLUSIONS The established GTT can improve the recognition rate of ADEs for hospitalized patients using traditional Chinese medicine formula granules and decoction pieces.