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 investigate the influencing factors of secondary type 2 diabetes in young obesity patients, and construct and validate a risk prediction model.Methods:The retrospective cohort study was conducted. The clinical data of 847 young obesity patients who were admitted to The First Affiliated Hospital of Nanjing Medical University from January 2022 to July 2024 were collected. There were 382 males and 465 females, aged (29.4±3.8)years. Patients were randomly divided into a training set of 593 cases and a validation set of 254 cases based on a random number table method of 7∶3 ratio. The training set was used to construct the prediction model, and the validation set was used to validate prediction model. Observation indicators: (1) analysis of influencing factors of secondary type 2 diabetes in young obesity patients; (2) construc-tion and validation of a prediction model for secondary type 2 diabetes in young obesity patients. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate analysis was performed using the corresponding statistical methods based on data types. Multivariate analysis was performed using the Logistic regression model, and the area under the curve (AUC) of receiver operating characteristic (ROC) curve, the Hosmer-Lemeshow test, the calibration curve and decision curve were used to evaluate the predictive performance of the model. Results:(1) Analysis of influencing factors of secondary type 2 diabetes in young obesity patients. Of the 847 young obesity patients, there were 238 patients with secondary type 2 diabetes, including 161 cases in the training set and 77 cases in the validation set, 609 patients of simple obesity, including 432 cases in the training set and 177 cases in the validation set. Results of multivariate analysis showed that family history of diabetes, hypertension, high-sugar diet, exercise habits, triglyceride (TG), homeostasis model assessment of insulin resistance (HOMA-IR) and neutrophil-to-lymphocyte ratio (NLR) were independent factors influencing secondary type 2 diabetes in young obesity patients [ odds ratio=9.476, 2.420, 3.219, 0.272, 2.137, 26.759, 41.535, 95% confidence interval ( CI) as 3.242-27.696, 1.159-5.052, 1.525-6.796, 0.117-0.632, 1.019-4.481, 12.907-55.476, 16.085-107.251, P<0.05]. (2) Construction and validation of a prediction model for secondary type 2 diabetes in young obesity patients. A nomogram prediction model for secondary type 2 diabetes in young obesity patients was constructed based on the results of multivariate analysis. Results of ROC curve analysis showed that the AUC of prediction model for the training set was 0.963(95% CI as 0.946-0.980), with sensitivity of 89.6% and specificity of 93.2%, respectively, and the AUC of prediction model for the validation set was 0.966(95% CI as 0.944-0.988), with sensitivity of 92.7% and specificity of 88.3%, respectively. Results of Hosmer-Lemeshow test showed that the P-values for both the training set and validation set were >0.05, indicating good model fit. The calibration curves for both the training set and validation set closely matched the actual curve, demonstrating the prediction model with a good fit. The decision curve analysis showed high practical value of the model. Conclusions:Family history of diabetes, hypertension, high-sugar diet, exercise habits, TG, HOMA-IR and NLR are independent factors influencing secondary type 2 diabetes in young obesity patients. The prediction model constructed based on these factors demons-trates good predictive performance.

Objectives:This study aims to establish a calcified aortic valve disease(CAVD)-related gene regulatory network,and clarify the impact of interactions between CAVD-related genes on CAVD.Methods:Differential expression gene method was used to screen candidate genes,and STRING software was used to construct protein-protein interaction networks for screened genes.The networks and genes with the highest scores were obtained.Monte Carlo method was used to rank the importance of genes in CAVD,and the top 1%genes were identified.Genes identified by these two methods are intersected to obtain the key genes.The correlation between the key genes and CAVD were confirmed by biological verification method.Then,key genes were used as query genes to establish CAVD gene regulatory module with a co-expression patterns-based gene regulatory network identifying method.Specifically,we first detected the underlying co-expression patterns of the seemingly uncorrelated genes,and then pieced the isolated gene pairs up into gene regulatory network with the help of the bridging genes.Finally,we verified the function of the established gene regulatory network through enrichment analysis and literature analysis.Results:We identified the CAVD gene regulatory network containing 211 genes from 18 084 candidate genes.Functional enrichment analysis indicate that the established gene regulatory network included genes with both known interactions and potential novel pathway interactions related to CAVD,serving as candidates for further experimental CAVD studies.Conclusions:Methodologically,the proposed method avoids the problem of complex computation,and relies only on available biological priors.It is also able to detect underlying co-expression patterns.The results will advance the understanding of the interactions of the CAVD-related genes and this method provides a novel way to identify underlying gene co-expression patterns in the setting of CAVD.

Objective:To analyze the correlation between sex hormone levels and micropenis after mild hypospadias surgery in children.Methods:A case control study was carried out.The clinical data of 71 children aged 1 to 13 years who underwent mild hypospadias surgery at the First Affiliated Hospital of Xinxiang Medical University from April 2022 to April 2024 were analyzed.Preoperatively, the children were divided into a mild hypospadias group (Group A) and a mild hypospadias with micropenis group (Group B) based on the stretched penile length (SPL).Prolactin, follicle-stimulating hormone (FSH), luteinizing hormone (LH), progesterone, and testosterone (TES) levels of the 2 groups were measured.Multivariate Logistic regression analysis was used to construct a risk prediction model.The discrimination capability of the model was evaluated using the receiver operating characteristic (ROC) curve.SPL and sex hormone levels were measured again 6 months after surgery.The children were divided into a normal penile group (Group AA) and a micropenis group (Group BB) after mild hypospadias according to SPL.Multivariate Logistic regression analysis was used to construct a risk prediction model, which was evaluated using the ROC curve.Results:The levels of FSH, LH and TES in group A before the operation were 3.28(2.02, 4.46) IU/L, 0.53(0.25, 0.79) IU/L and 25.24(17.94, 36.67) ng/dL, respectively, and those in group B were 1.42(1.10, 1.84) IU/L, 0.14(0.09, 0.23) IU/L and 15.73 (12.92, 17.00) ng/dL, respectively.The difference was all statistically significant (all P<0.05).Multivariate Logistic regression analysis showed statistical significance ( OR=0.515, 95% CI: 0.271-0.977; OR=0.035, 95% CI: 0.002-0.542; OR=0.883, 95% CI: 0.796-0.980).The area under the ROC curve (AUC) of the prediction model was 0.906, with a sensitivity of 75.00% and a specificity of 95.74%.The levels of FSH, LH and TES in the postoperative AA group were 2.97 (1.88, 4.28) IU/L, 0.46 (0.23, 0.78) IU/L and 20.92 (17.34, 33.27) ng/dL, respectively.The median levels of FSH, LH and TES in the BB group were 1.52 (1.27, 1.82) IU/L, 0.17 (0.12, 0.26) IU/L and 15.08(11.68, 16.68) ng/dL, respectively.The difference was all statistically significant (all P<0.05).Multivariate Logistic regression analysis showed statistical significance ( OR=0.484, 95% CI: 0.236-0.992; OR=0.061, 95% CI: 0.004-0.939; OR=0.891, 95% CI: 0.795-0.999).The AUC of the prediction model constructed was 0.877, with a sensitivity of 94.12% and a specificity of 68.52%. Conclusions:Lower FSH, LH and TES levels are risk factors for the micropenis after mild hypospadias surgery, and preoperative hormone levels have higher predictive value.

With the rapid increase in the ownership of MRI equipment in China,quality control,particularly in clinical usage aspects,has become critically important.For clinical quality control of MRI systems,it is essential to establish comprehensive workflow principles encompassing multiple elements such as personnel,equipment,standards,tools and methodologies.To advance the standardization and widespread adoption of clinical quality control for MRI equipment,efforts must focus on strengthening regulatory frameworks,advancing phantom research,development and enhancing professional expertise.Concurrently,continuous improvements in training programs and supervision mechanisms are necessary to ensure the effective implementation of MRI clinical quality control practices.Furthermore,in the era of digital healthcare,clinical quality assurance for MRI equipment is evolving toward automation and intelligent solutions,providing higher-quality and more efficient assurance for clinical applications.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Purpose To explore an automatic detection method for quality control performance indicators of radio frequency coils based on American College of Radiology(ACR)phantom,and verify its accuracy stability and computational efficiency.Materials and Methods A retrospective study was conducted on 50 quality control images collected based on ACR phantom in Beijing Friendship Hospital,Capital Medical University from May 2017 to July 2019.The measurement and calculation methods of signal noise ratio(SNR),percent image uniformity(PIU)and percent signal ghosting(PSG)were used to automatically calculate the above indicators using a self-designed program in Python.A simple linear regression analysis on the automatically calculated SNR,PSG and PIU values compared to the manually measured results was performed,and Bland-Altman analysis was used to calculate the percentage difference to evaluate the consistency and bias between the performance indicators calculated by the two methods.The time consumption of two detection methods was compared to verify their computational complexity and efficiency.Results There was a strong correlation between the performance indicators SNR,PSG and PIU of radio frequency coils measured and calculated automatically and manually(r=0.991 4,0.992 8 and 0.909 8,all P<0.0001).The Bland-Altman results showed that most of the data fall within the 95%confidence interval and were evenly distributed.In terms of computational complexity and efficiency,compared to the complex manual delineation and calculation of 2-3 minutes per case,automatic detection could simultaneously obtain SNR,PSG and PIU values in less than 1 second.Conclusion The automatic and manual measurement methods have good consistency,and the automatic detection method is easy to operate,which is helpful for the daily quality control work and performance monitoring of radio frequency coils.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP

Objective:To report the results of bacterial resistant investigation collaborative system（BRICS）on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023，and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period，11 492 strains of Gram-negative bacteria were collected from 60 hospitals，of which 10 098（87.9%）were Enterobacterales and 1 394（12.1%）were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli（50.0%）， Klebsiella pneumoniae（26.1%）， Pseudomonas aeruginosa（5.1%）， Acinetobacter baumannii complex（5.0%）and Enterobacter cloacae complex（4.1%）. The ESBL-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus mirablilis were 46.8%（2 685/5 741），18.3%（549/2 999）and 44.0%（77/175），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（76/5 741）and 15.0%（450/2 999）；32.9%（25/76）and 78.0%（351/450）of CREC and CRKP were sensitive to ceftazidime/avibactam combination，respectively. 94.7%（72/76）and 90.2%（406/450）of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore，57.9%（44/76）and 79.1%（356/450）were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 64.6%（370/573），while more than 80.0% of CRAB complex was sensitive to tigecycline，eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 17.0%（99/581）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China，with statistically significant differences in the prevalence of CREC，CRKP，CRPA and CRAB complex（ χ2=10.6，28.6，10.8 and 19.3， P<0.05）. The prevalence of ESBL-producing Escherichia coli， CREC，CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals（ χ2=12.5，9.8，12.7 and 57.8，all P<0.01）. Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China，and Escherichia coli is ranked in the top，while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend，CREC infecton maintains a low prevalence level，and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.

Tuberculosis is still the second leading cause of death from a single source of infection in the world.There is a two-way relationship between tuberculosis and the nutritional status of the body,which affects and causes each other.Vitamin D is an essential micronutrient,most research results show that vitamin D deficiency is common in tuberculosis patients,which is related to lack of sunlight,decreased dietary intake of vitamin D and anti-tuberculosis drug treatment.Low level vitamin D can increase tuberculosis susceptibility to some extent,but the research results are not completely consistent.This paper reviews the nutritional status of vitamin D in tuberculosis patients in recent years,the causes of vitamin D deficiency in tuberculosis patients and the relationship between vitamin D deficiency and susceptibility of tuberculosis,so as to provide references for further study on the role of vitamin D in tuberculosis prevention and treatment.