Facing escalating public health security challenges,infectious disease hospitals have assumed a pivotal role in fortifying the public health service infrastructure.This paper adopts case-based analytical approach,based on Nantong Third Peo-ple's Hospital(Nantong Infectious Disease Center),to explore the"One Hospital,Two Campuses"development model in infec-tious disease hospitals.It analyzes practical strategies for resource integration,functional optimization,and emergency response mechanisms.In addition,this paper highlights the model's role in enhancing public health service capacity,addressing sudden infectious disease outbreaks,and fostering regional healthcare collaboration.The study aims to offer theoretical insights and prac-tical guidance for further improvements in the public health service system.

Objective To observe the value of machine learning(ML)models based on quantitative ultrasound(QUS)and clinical indexes for predicting metabolic associated fatty liver disease(MAFLD).Methods Totally 298 patients underwent abdominal MR and QUS examinations were retrospectively enrolled,including 150 cases with and 148 cases without MAFLD.The patients were divided into training set(including 107 cases of MAFLD and 101 cases of non-MAFLD)and test set(including 43 cases of MAFLD and 47 cases of non-MAFLD)at a ratio of 7∶3.Features were selected using least absolute shrinkage and selection operator(LASSO)regression and logistic regression(LR),based on which predictive models were constructed using 6 ML classifiers,including Gaussian naive Bayes(GNB),LR,random forest(RF),support vector machine(SVM),extreme gradient boosting(XGBoost)and K-nearest neighbor(KNN),respectively.Then the receiver operating characteristic curves were drawn,and the area under the curve(AUC)and the Brier score were calculated to evaluate the predictive efficacy of the models.Results The elevated age,glutamic-pyruvic transaminase(GPT),glutamic-oxaloacetic transaminase(GOT),uric acid(UA),low-density lipoprotein cholesterol(LDL-C),controlled attenuation parameter(CAP),ultrasound-derived fat fraction(UDFF)and shear wave velocity(SWV),as well as blurred liver contour were all independent indicators for higher likelihood of MAFLD(all P＜0.05).The AUC and Brier score of XGBoost model in training set was 0.991 and 0.006,in test set was 0.973 and 0.069,respectively,both higher than those of other models,and decision curve analysis(DCA)indicated that XGBoost model had high net benefit.Conclusion ML models based on QUS and clinical indexes,especially XGBoost model had high efficacy for predicting MAFLD.

ObjectiveTo investigate the diagnostic accuracy and grading capability of ultrasound-derived fat fraction （UDFF）， controlled attenuation parameter （CAP）， and hepatic/renal ratio （HRR） in assessing hepatic steatosis in metabolic associated fatty liver disease （MAFLD） with magnetic resonance imaging-proton density fat fraction （MRI-PDFF） as the gold standard. MethodsA total of 150 patients with MAFLD who attended The First Hospital of Hebei Medical University from January 2023 to December 2024 were enrolled， and 148 healthy volunteers were recruited. All subjects underwent MRI-PDFF， UDFF， CAP， and HRR examinations. Hepatic steatosis was graded based on MRI-PDFF （S0：148 cases； S1：92 cases； S2：21 cases； S3：37 cases）， and the MAFLD patients with different grades of hepatic steatosis were compared in terms of UDFF， CAP， HRR， and clinical features. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups and the Tukey HSD test was used for further comparision between two groups； the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups， and the Mann-Whitney U test was used for further comparison between two groups； the chi-square test was used for comparison of categorical data between groups. The Spearman correlation analysis was used to investigate the correlation between UDFF， CAP， HRR， and MRI-PDFF in different grades of MAFLD； the receiver operating characteristic （ROC） curve was used to investigate the efficacy of UDFF， CAP， and HRR in the diagnosis of different degrees of hepatic steatosis in MAFLD； the Bland-Altman difference plot was used to analyze the consistency between UDFF and MRI-PDFF in different degrees of hepatic steatosis in MAFLD. ResultsUDFF measurement gradually increased with the increase in the grade of fatty liver （H=201.52，P0.001）. The Spearman correlation analysis showed that there was a strong correlation between any two indicators of UDFF， CAP， HRR， and MRI-PDFF in S1， S2， and S3 MAFLD （all P0.001）， with the strongest correlation between UDFF and MRI-PDFF （r_s1=0.884，r_s2=0.962，r_s3=0.929， all P0.001）. The ROC curve analysis showed that UDFF had a larger area under the ROC curve （AUC） than CAP and HRR in the graded diagnosis of S1 and S3 （all P0.05）， while in the diagnosis of S2 MAFLD， UDFF had a significantly larger AUC than HRR （P0.05） and a similar AUC to CAP （P0.05）. The Bland-Altman difference plot showed good consistency between UDFF and MRI-PDFF in different degrees of hepatic steatosis in MAFLD. ConclusionCompared with CAP and HRR， UDFF can accurately measure liver fat content and has good efficacy in identifying varying degrees of hepatic steatosis in MAFLD.

The expert consensus on the clinical treatment of herpes zoster with fire needling was developed, and the commonly used fire needling treatment scheme verified by clinical research was selected to form a standardized diagnosis and treatment scheme for acute herpes zoster and postherpetic neuralgia (PHN), so as to answer the core problems in clinical application. The consensus focuses on patients with herpes zoster, and forms recommendations for 9 key clinical issues, covering simple fire needling and TCM comprehensive therapy based on fire needling, including fire needling combined with cupping, fire needling combined with Chinese herb, fire needling combined with cupping and Chinese herb, fire needling combined with filiform needling, fire needling combined with moxibustion, and provides specific recommendations and operational guidelines for various therapies.
Humans ; Herpes Zoster/therapy* ; Acupuncture Therapy/instrumentation* ; Consensus ; Clinical Protocols

Objective To observe the value of machine learning(ML)models based on quantitative ultrasound(QUS)and clinical indexes for predicting metabolic associated fatty liver disease(MAFLD).Methods Totally 298 patients underwent abdominal MR and QUS examinations were retrospectively enrolled,including 150 cases with and 148 cases without MAFLD.The patients were divided into training set(including 107 cases of MAFLD and 101 cases of non-MAFLD)and test set(including 43 cases of MAFLD and 47 cases of non-MAFLD)at a ratio of 7∶3.Features were selected using least absolute shrinkage and selection operator(LASSO)regression and logistic regression(LR),based on which predictive models were constructed using 6 ML classifiers,including Gaussian naive Bayes(GNB),LR,random forest(RF),support vector machine(SVM),extreme gradient boosting(XGBoost)and K-nearest neighbor(KNN),respectively.Then the receiver operating characteristic curves were drawn,and the area under the curve(AUC)and the Brier score were calculated to evaluate the predictive efficacy of the models.Results The elevated age,glutamic-pyruvic transaminase(GPT),glutamic-oxaloacetic transaminase(GOT),uric acid(UA),low-density lipoprotein cholesterol(LDL-C),controlled attenuation parameter(CAP),ultrasound-derived fat fraction(UDFF)and shear wave velocity(SWV),as well as blurred liver contour were all independent indicators for higher likelihood of MAFLD(all P＜0.05).The AUC and Brier score of XGBoost model in training set was 0.991 and 0.006,in test set was 0.973 and 0.069,respectively,both higher than those of other models,and decision curve analysis(DCA)indicated that XGBoost model had high net benefit.Conclusion ML models based on QUS and clinical indexes,especially XGBoost model had high efficacy for predicting MAFLD.

Dysregulation of immune response is currently recognized as one of the important pathological factors in ulcerative colitis (UC). Based on the confirmation that the Sini San (SNS) can significantly improve the colon inflammation induced by dextran sulfate sodium sulfate (DSS) in mice, the present work systematically studied the xenobiotics in the colon and mesenteric lymph nodes, spleen, and thymus of UC mice after administration of SNS by high-performance liquid chromatography-ion trap time-of-flight mass spectrometry (HPLC-IT-TOF-MS). The results showed that, in addition to the colon, some components and their metabolites in SNS could be distributed in immune tissues, and it was found that the quality of relatively low-abundance and weakly responsive components such as saikosaponin a, paeoniflorin, and glycyrrhizic acid had the characteristics of efficient transmission to the colon and lymphoid organs. These components were very likely to be the source of pharmacodynamic substances of SNS. The findings of this study lay a foundation for the study of the efficacy and molecular mechanism of the components against ulcerative colitis, and also provide a scientific basis for the rational clinical application of SNS, which is expected to promote the secondary development of its preparations.

Facing escalating public health security challenges,infectious disease hospitals have assumed a pivotal role in fortifying the public health service infrastructure.This paper adopts case-based analytical approach,based on Nantong Third Peo-ple's Hospital(Nantong Infectious Disease Center),to explore the"One Hospital,Two Campuses"development model in infec-tious disease hospitals.It analyzes practical strategies for resource integration,functional optimization,and emergency response mechanisms.In addition,this paper highlights the model's role in enhancing public health service capacity,addressing sudden infectious disease outbreaks,and fostering regional healthcare collaboration.The study aims to offer theoretical insights and prac-tical guidance for further improvements in the public health service system.

Objective:To construct a risk identification model based on dynamic Bayesian network(DBN),and to explore its application value in the operation management of orthopedic equipment in hospital.Methods:Risk factors in orthopedic equipment management were identified based on DBN model,and risk evaluation index set was established to provide early warning and prevention for possible risk factors.12 pieces of orthopedic medical equipment in clinical use in The Second Affiliated Hospital of Air Force Medical University from January 2020 to February 2022 were selected,the traditional orthopedic equipment quality operation management method(referred to as traditional mode)and the DBN-based risk identification mode(referred to as DBN mode)were adopted for equipment management respectively.The equipment operation effects,risk incidence rates and treatment efficiency of the two modes were compared.Results:The start-up operation efficiency and equipment quality qualification rate of the equipment in DBN mode were(93.54±4.05)%and(97.51±6.68)%,respectively,which were higher than those in the traditional mode;the troubleshooting time and the equipment component damage rate were(7.14±1.64)hours and(0.48±0.11)%,respectively,which were lower than those in the traditional mode,the difference was statistically significant(t=8.862,8.228,32.994,73.047,P<0.05).The function failure rate,parts damage rate,unqualified cleaning and disinfection rate and improper management rate of equipment in 479 equipment usage data,897 operations,300 equipment disinfection records and 500 equipment daily inspection records in the DBN mode were 0.21%(1/479),0.33%(3/897),1.33%(4/30)and 2.0%(10/500),respectively,which were lower than those in the traditional mode,the difference was statistically significant(x2=21.527,12.964,3.485,6.914,P<0.05).The effective rate of 500 cases of orthopedic medical equipment treatment of DBN mode was 97.8%(489/500),which was significantly higher than that of traditional mode,the difference was statistically significant(x2=12.617,P<0.05).Conclusion:The application of risk identification model based on DBN to the management of orthopedic medical equipment in hospital can strengthen the quality of orthopedic equipment management,improve the efficiency of equipment operation and treatment,and prevent and avoid equipment risks.

ObjectiveTo investigate the influence of triglyceride （TG）/high-density lipoprotein cholesterol （HDL-C） ratio on the onset of primary liver cancer. MethodsA prospective cohort study was conducted. Physical examination data were collected from 99 750 cases of on-the-job and retired employees of Kailuan Group who participated health examination from July 2006 to December 2007， and they were followed up till December 31， 2021 to observe the onset of primary liver cancer. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups， and the Kruskal-Wallis H test was used for comparison of continuous data with skewed distribution between multiple groups； the chi-square test was used for comparison of categorical data between groups. According to the tertiles of TG/HDL-C ratio， the subjects were divided into Q1， Q2， and Q3 groups， and the incidence density of primary liver cancer was calculated for each group. The Kaplan-Meier method was used to calculate the cumulative incidence rate of primary liver cancer in each group， and the log-rank test was used to compare the difference in cumulative incidence rate between groups. The Cox proportional hazards model was used to analyze the influence of TG/HDL-C ratio on the onset of primary liver cancer. ResultsThere were significant differences between the three groups in age， proportion of male subjects， waist circumference， body mass index， fasting blood glucose， systolic pressure， diastolic pressure， triglyceride， total cholesterol， HDL-C， low-density lipoprotein cholesterol， alanine aminotransferase， high-sensitivity C-reactive protein， chronic liver diseases， hypertension， diabetes， the family history of malignant tumor， drinking， smoking， physical exercise， and educational level （P<0.05）. During the mean follow-up time of 14.06±2.71 years， there were 484 cases of new-onset liver cancer， among whom there were 446 male subjects and 38 female subjects. The incidence density of primary liver cancer was 0.39/1 000 person-years in the Q1 group， 0.35/1 000 person-years in the Q2 group， and 0.30/1 000 person-years in the Q3 group， and the cumulative incidence rates of primary liver cancer in the three groups were 6.03‰， 5.28‰， and 4.49‰， respectively， with a significant difference between the three groups based on the long-rank test （χ²=6.06， P=0.048）. After adjustment for the confounding factors considered， the Cox proportional hazards model showed that compared with the Q3 group， the Q1 group had a hazard ratio of 2.04 （95% confidence interval ［CI］： 1.61‍ ‍—‍ ‍2.58， P_{for trend}<0.05）， and the Q2 group had a hazard ratio of 1.53 （95%CI： 1.21‍ ‍—‍ ‍1.92， P_{for trend}<0.05）. ConclusionThe reduction in TG/HDL-C ratio is associated with an increase in the rask of primary liver cancer， especially in people with chronic liver diseases.

Objective To explore the efficacy of a new anti-heart failure drug,Entresto,in the prevention of cardiotoxicity caused by doxorubicin(DOX).Methods Male adult ICR mice were randomly divided into three groups(n = 8):control group,DOX group and DOX plus Entresto group.Cardiac function of mice was measured by echocardiography.H9c2 cells were pretreated with Entresto(0-48 μmol/L)for 24 hours in the presence or absence of DOX(1 mmol/L),and then cell viability,oxidative stress,apoptosis and mitochondrial function were evaluated.Results As compared with the control group,leakage of CK,CK-MB and LDH increased significantly in the DOX group(P<0.01),and left ventricular systolic dysfunction occurred.Entresto administration reversed these changes in the DOX group.The level of ROS and the number of apoptotic cells in cardiomyocytes in the DOX plus Entresto group were lower than those in the DOX group(P<0.05).As compared with the DOX group,the level of ROS and the number of apoptotic cells in H9c2 cells decreased significantly in the Entresto plus DOX group(P<0.05),and mitochondrial membrane potential increased significantly(P<0.05).Entresto reversed the inhibitory effect of DOX on SIRT1/PGC-1α/MFN2 signaling pathway.Conclusions Entresto improves DOX-induced cardiotoxicity by inhibiting ROS-mediated oxidative stress and apoptosis,and its mechanism may be related to SIRT1/PGC-1α/MFN2 signal transduction pathway.