OBJECTIVE To investigate the current status of informatization tools applied to antimicrobial stewardship in county hospitals in China， and to provide a reference for promoting the informatization development of antimicrobial stewardship in county hospitals.METHODS From August to September 2025， an online questionnaire survey was conducted among 1 007 county hospitals across 31 provinces（autonomous regions， and municipalities） in China. The survey focused on the application of four types of informatization tools：the real-time monitoring system for antimicrobial use， the pre-prescription review system， the irrational use warning system， and the electronic prescription evaluation system（hereinafter referred to as the “monitoring system”“review system”“warning system”“evaluation system”，respectively）. Correlation analysis and binary Logistic regression analysis were employed to explore the influencing factors.RESULTS Of the county hospitals， 80.83% were equipped with at least one type of informatization tool for antimicrobial stewardship， while 19.17% had no relevant tool. Only 18.87% of the hospitals were equipped with all four types of tools. The monitoring system exhibited the highest equipped rate （70.80%）， whereas the warning system was equipped in only 33.96% of the hospitals. Four types of tools are evenly and adequately deployed in the eastern region， the central and western regions have far lower deployment rates of intervention tools including review system and warning system， accompanied by prominent intra-provincial gaps. The total number of the health technicians， hospital grade， and prescription review rate of outpatient antibacterial drug were significantly and positively correlated with the deployment rates of the four informatization tools （ P ＜0.05）. The results of the Logistic regression model fitting indicated that the model of the review system was rated “excellent” [area under the receiver operating characteristic curve （AUC）＝0.81]， and the model of the warning system was rated “further improvement” （AUC＝0.67）. The total number of health technicians was significantly positively correlated with the deployment rates of all four types of informatization tools （all P ＜0.05）.CONCLUSIONS The informatization of antimicrobial stewardship in county hospitals in China remains in the initial stage of transitioning from “passive statistics” to “active prevention and control”， with challenges such as structural imbalance and regional disparities. In the future， differentiated support strategies should be implemented， the allocation of resources should be optimized， to enhance the level of refined antimicrobial stewardship.

AIM:To analyze the association between mobile phone addiction and high myopia among college students.METHODS:We conducted a cross-sectional questionnaire survey in December 2022 on all students of a university in Shaanxi Province, and the questionnaire included socio-demographic characteristics, mobile phone addiction, high myopia, and lifestyle. Binary Logistic regression model was used to analyze the association between mobile phone addiction and high myopia among college students.RESULTS:A total of 19 952 college students were included. The prevalence of high myopia was 7.31%. The rate of mobile phone addiction was 25.68%, and the mobile phone addiction score was 37.59±13.38. The incidence of high myopia among college students with mobile phone addiction was higher than non-mobile phone addiction(P<0.001). After adjusting for socio-demographic characteristics and lifestyle, the risk of high myopia among college students with mobile phone addiction was 1.274 times(95%CI:1.131-1.434)higher than non-mobile phone addiction. For each point increase of total mobile phone addiction score, withdrawal symptoms score, salience score, social comfort score, and mood changes score, the risk of high myopia among college students increased by 0.9%(95%CI:1.005-1.013), 2.0%(95%CI:1.010-1.030), 2.6%(95%CI:1.010-1.043), 4.8%(95%CI:1.030-1.066), and 3.3%(95%CI:1.014-1.052), respectively.CONCLUSION:Mobile phone addiction is significantly associated with the increased risk of high myopia among college students, and early intervention of mobile phone use may reduce the risk of high myopia among college students.

Objective To observe the value of machine learning model based on MR T2WI and diffusion weighted imaging(DWI)radiomics for predicting perineural invasion(PNI)of rectal cancer.Methods Totally 343 patients with rectal cancer were retrospectively collected and divided into training set(n=275,92 PNI[+]and 183 PNI[-])and test set(n=68,23 PNI[+]and 45 PNI[-])at the ratio of 8∶2.Univariate and multivariate logistic regression(LR)were used to analyze clinical data and screen the independent predictors of PNI in rectal cancer,so as to construct a clinical model.The best radiomics features were extracted and screened based on preoperative T2WI and DWI.Then extremely randomized trees,multilayer perceptron,light gradient boosting machine,extreme gradient boosting,support vector machine(SVM),LR,K-nearest neighbor and random forest algorithms were used to construct ML models,respectively,and the optimal ML model was selected to establish a clinical-radiomics ML model combined with clinical relevant independent predictors.The predictive efficacy and clinical value of each model were evaluated.Results Patients' age was the independent predictor of PNI of rectal cancer(OR=0.988,P＜0.001),and the area under the curve(AUC)of the clinical model constructed based on it was 0.435 and 0.458 in training and test sets,respectively.SVM model was the best one among 8 ML models,with AUC in training and test set of 0.887 and 0.854,respectively.The AUC of clinical-radiomics ML model in training and test sets was 0.887 and 0.860,respectively,not different with AUC of SVM model(both P＞0.05).Decision curve analysis showed that when the threshold value was 0.20-0.45,clinical net benefit of SVM model was higher than that of other models.Conclusion SVM model based on T2WI and DWI radiomics could effectively predict PNI of rectal cancer.

Multimorbidity has emerged as a critical global public health challenge, necessitating effective management strategies. In Heilongjiang Province, a cold north region in China with a high prevalence of multimorbidity, healthcare disparities, uneven resource distribution, and inadequate chronic disease control remain pressing issues. Driven by national policies on family physician contracting and regional demands for chronic disease management, this study established a "hospital-community general practitioner co-management" model utilizing a mobile-based digital platform. This model integrates hospital-based general practitioners into primary care teams to optimize resource allocation and enhance multimorbidity management. The initiative aims to explore pathways for improving healthcare system reform and strengthening the chronic disease prevention framework in the region.

Objective:To explore the distribution of HIV-1 genetic subtypes and drug resistance profiles among HIV-1 infected patients with antiretroviral treatment (ART) failure in Henan Province and to provide evidence for optimizing ART regimens.Methods:HIV-1 infected patients who had received ART for at least 6 months with viral loads (VL) ≥200 copies/ml in 18 cities of Henan from January to December 2023. The plasma samples were collected, and partial pol gene sequences and full-length integrase ( int) gene sequences of HIV-1 were amplified using nested RT-PCR. HIV-1 subtypes were determined using the REGA HIV-1 subtyping tool, and drug resistance mutations were analyzed using the Stanford University HIV Drug Resistance Database ( http://hivdb.stanford.edu/). Chi-square tests and multivariate logistic regression were used to identify risk factors associated with drug resistance of HIV-1 infected patients. Results:Among 697 HIV-1 infected patients with ART failure, 14 HIV-1 genetic subtypes were identified. Subtype B was predominant (58.68%, 409/697), followed by CRF01_AE (21.95%, 153/697) and CRF07_BC (12.91%, 90/697). The overall drug resistance rate was 72.31% (504/697), with CRF55_01B exhibiting a resistance rate of 91.30% (21/23). Non-nucleoside reverse transcriptase inhibitors (NNRTIs) had the highest resistance mutation rate (67.29%, 469/697), followed by nucleoside reverse transcriptase inhibitors (NRTIs)(56.81%, 396/697), protease inhibitors (PIs)(5.74%, 40/697), and integrase strand transfer inhibitors (INSTIs)(2.75%, 19/691). The results of multivariate analysis showed that the positive correlation factor for drug resistance in HIV-1 infected individuals with failed ART was baseline CD4 +T lymphocyte counts <200 cells/μl (a OR=3.84, 95% CI: 1.69-8.72), and the negative correlation factor was ART duration of 3-5 years (a OR=0.32, 95% CI: 0.13-0.77), the initial treatment ART protocol used two types of NRTIs plus one type of PIs (a OR=0.14, 95% CI: 0.05-0.43) and two types of NRTIs plus one type of INSTIs protocol (a OR=0.12, 95% CI: 0.03-0.57). Conclusions:The drug resistance rate of HIV-1 infected patients with ART failure was relatively higher in Henan Province in 2023. Strengthening the monitoring of HIV-1 drug resistance is of great significance to improve the ART effect of HIV-1 infected patients.

Adriamycin is a widely used anti-tumor drug.Targeting mitochondrial fusion proteins/mitofusion 1/2(MFN1/2)and nuclear factor-erythroid 2-related factor 2(NRF2)can up-regulate the expression of mitochondrial fusion protein through PKCε/Stat3/MFN2,SIRT1/MFN2,AMPK/NRF2 and other signaling pathways,promote mitochondrial fusion,maintain kinetic balance and protect mitochondrial function,reduce myocardial cell apoptosis and reduce cardiac toxicity.Understanding the regulatory role and mechanism of mitochondrial fusion in doxorubicin-induced cardio toxicity will provide new strategies for the prevention and treatment of diseases.

Objective:To explore the factors influencing the success rate of culturing patient-derived gastric and colorectal cancer organoids.Methods:From Feb 2022 to Oct 2023, 398 tumor tissue specimens from patients who underwent gastric cancer and colorectal cancer resection at the Department of Gastrointestinal Surgery, the Affiliated Hospital of Qingdao University, were used for organoid culture. The clinicopathological factors affecting the success rate of organoid culture were analyzed.Results:The overall success rate of organoid culture in this group was 75.1% (299/398), with the success rate of gastric cancer organoid culture being 79.8%(154/193) and that of colorectal cancer being 70.7% (145/205). Different clinicopathological T stage ( χ2=4.765, P<0.05),histological type ( χ2=11.248, P<0.05), and tumor regression grade (TRG) grade after neoadjuvant chemotherapy ( χ2=7.797, P<0.05) were related to the success rate of organoid culture . Multivariate analysis showed that the TRG grade was an independent influencing factor( P=0.040). For colorectal cancer, different pathological T stage ( χ2=5.108, P<0.05), histological type ( χ2=11.270, P<0.05), and TRG grade after neoadjuvant chemotherapy ( χ2=6.797, P<0.05) were related to the success rate of organoidculture . Different from gastric cancer, the results of multivariate analysis of colorectal cancer showed that the histological type was an independent influencing factor ( P=0.018). Conclusions:The pathologic T stage, histological type of tumors, and TRG of cancer patients all have a significant impact on the success rate of establishing tumor organoids. Among them, the TRG grade is an independent influencing factor for the culture of gastric cancer organoids, and the histological type is an independent influencing factor for colorectal cancer organoids.

Objective To understand the current situation of the management of patients'self-provided infusion drugs in secondary and above general hospitals in China,and to provide a theoretical and practical basis for improving the management system.Methods The annual pharmacy professional quality control work survey conducted by the National Pharmaceutical Management Professional Quality Control Center was used to obtain information on the management of patients'self-provided infusion drugs in secondary and above general hospitals in 31 provinces(autonomous regions and municipalities directly under the central government)and the Xinjiang Production and Construction Corps of Chinese mainland from 2020 to 2022,and was summarized and calculated using data-processing software.Results The total number of secondary and above general hospitals included in the analysis from 2020 to 2022 is 4 786,5 063 and 6 041,respectively.In 2022,compared with 2020,the percentage of hospitals allowing patients to use self-provided infused drugs decreased from 55.08％to 48.54％,the percentage of hospitals that have established a system for managing patients' self-provided drugs increased from 81.54％to 98.09％,and the percentage of hospitalized patients' use of self-provided drugs that are all documented in their medical orders increased from 79.76％to 90.72％.The types of drugs that hospitals allow patients to use for self-provided infusion are mainly antitumor drugs,the places where self-provided infusion drugs are dispensed are mainly clinical departments(wards),and the main source of self-provided infusion drugs is self-pickup by patients.Conclusion Hospitals should establish a management system for patients'self-provided drugs,strengthen the information management of self-provided infusion drugs,and ensure drug supply and medication safety for patients.

Objective To compare five time series models and predict the monthly incidence of bacillary dysentery in Qinghai Province in 2024,and provide reference for the prevention and control.Methods The epidemic charac-teristics of bacterial dysentery in Qinghai Province from 2014 to 2023 were analyzed.R4.3.1 software was used for establishing seasonal autoregressive integrated moving average(SARIMA)model,Holt-Winters triple exponential smoothing(Holt Winters)model,exponential smoothing(ETS)model,neural network autoregression(NNAR)model,and trigonometric seasonality,Box-Cox transformation,ARMA errors,trend and seasonal components(TBATS)model.Fitting effect of the models was analyzed and accuracy was compared.Results From 2014 to 2023,a total of 5 833 cases of bacterial dysentery were reported in Qinghai Province,without deaths,male to fe-male ratio being 1.23∶1.The highest incidence was reported in 2016(15.45 per 100 000 people),and the lowest in-cidence was reported in 2023(3.68 per 100 000 people).Incidence increased from 2014 to 2016,then decreased,showing an obvious overall downward trend.Case number in＜5 years age group was the highest,accounting for 29.76％of the total cases(n=1 736).Regarding population distribution,the top three were children in childcare institutions and scattered children(35.56％),farmers(24.65％),and students(12.62％).Except the additive Holt-Winters model,the predicted trends of the other four models were consistent with actuality.The ETS model had the best fitting effect,with a relatively balanced overall performance(training set:MAE=0.13,RMSE=0.21,MAPE=19.55％;testing set:MAE=0.11,RMSE=0.16,MAPE=28.66％).It is recommended to pre-dict the incidence of bacillary dysentery in Qinghai Province based on ETS model.Conclusion From 2014 to 2023,bacterial dysentery in Qinghai Province showed a downward trend,with the peak of the epidemic from June to Au-gust.Preschool and scattered children were high-risk groups.Among the five prediction models,ETS model has the best fitting effect,and can be used to predict the incidence of bacillary dysentery.

Ornithine transcarbamylase(OTC)is a member of the transcarbamylase protein family,commonly found in the mitochondrial matrix of living organisms.It generally functions in a trimeric form and can catalyze the production of L-ornithine to L-citrulline.OTC is mainly expressed in the liver and intestines of mammals,playing an important role in the urea cycle and amino acid homeostasis.This article introduces the research progress of OTC genes,proteins,physiological functions,the impact of OTC deficiency on body health,and the diagnosis and treatment of OTC deficiency.