Objective: To investigate the status of latent tuberculosis infection（LTBI）among freshmen in middle schools and their willingness of preventive treatment in Yunyan District of Guiyang, so as to provide a reference for the prevention and control of tuberculosis in schools. Methods: The tuberculin skin test (TST) and X-ray scans were used to screen the TB infection of 13 915 freshmen in middle schools in Yunyan District of Guiyang in 2023, and a questionnaire survey on the willingness of accepting tuberculosis preventive treatment was conducted to LTBI patients. The χ 2 test and Fisher exact probability was conducted for the comparison of the rates among the groups. Results: Among the freshmen screened, the detection rate of LTBI was 3.29%. There were statistically significant difference in LTBI rates among freshmen of different genders (boys:2.87%, girls:3.81%), age groups (12-15 years old:3.31%, 16-17 years old:3.92%, 18-20 years old:1.91%), and school stages (junior high school:3.52%, ordinary high school:5.96%, vocational high school:2.29%)（ χ 2=9.59, 13.08, 54.30, P ＜0.01). A total of 356 LTBI freshmen completed questionnaire survey,and 299(83.99%) were willing to accept tuberculosis preventive treatment, but the actual number of LIBI freshman who underwent preventive treatment was zero. Those LTBI who had received Bacille Calmette Guérin(BCG) vaccine(86.97%) was higher in the reporting rates of being willing to accept preventive treatment than that of LTBI who had not received BCG vaccine( 75.79 %),the differences were statistically significant( χ 2=6.48， P <0.05). The main reasons for refusing preventive treatment was worry about adverse drug reactions(80.70%), social acceptance and the support of social institutions were needed most(85.96%). Conclusions The LTBI rate among freshmen in Yunyan District of GuiYang is higher. Although the freshmen with LTBI have a higher willingness to accept preventive treatment, however, no one has undergone preventive treatment. Corresponding measures need to be taken for improving the preventive treatment rate of LIBI freshmen.

Objective:To investigate the risk factors of pleural effusion after spinal separation surgery for patients with spinal metastatic tumors.Methods:A total of 427 patients with spinal metastatic tumors from January 2014 to January 2022 in the Second Affiliated Hospital of Zhejiang University School of Medicine were retrospectively analyzed. There were 252 males and 175 females, with an average age of 59±12 years (range, 15-87 years). All patients underwent separation surgery. Based on the chest CT within 1 month after surgery, the volume of pleural effusion was measured individually by reconstruction software. Pleural effusion was defined as small volume (0-500 ml), moderate volume (500-1 000 ml), and large volume (above 1 000 ml). Baseline data and perioperative clinical outcomes were compared between the groups, and indicators with statistically significant differences were included in a binary logistic regression analysis to determine the independent risk factors for the development of pleural effusion after isolation of spinal metastatic cancer. Receiver operating characteristic (ROC) curves were conducted to calculate the area under the curve (AUC) for each independent risk factor.Results:All patients successfully completed the operation. Among the 427 patients, there were 35 cases of large pleural effusion, 42 cases of moderate pleural effusion, and 350 cases of small pleural effusion. There were significant differences in tumor size (χ 2=9.485, P=0.013), intraoperative blood loss ( Z=-2.503, P=0.011), blood transfusion ( Z=-2.983, P=0.003), preoperative total protein ( Z=2.681, P=0.007), preoperative albumin ( Z=1.720, P= 0.085), postoperative hemoglobin ( t=2.950, P=0.008), postoperative total protein ( Z=4.192, P<0.001), and postoperative albumin ( t=2.268, P=0.032) in the large pleural effusion group versus the small and moderate pleural effusion group. Logistic regression analysis showed that decreased preoperative albumin ( OR=0.89, P=0.045) and metastases located in the thoracic spine ( OR=4.01, P=0.039) were independent risk factors for the occurrence of large pleural effusion after separation surgery. The ROC curve showed that the AUC and 95% CI for preoperative albumin, lesion location, and the combined model were 0.637 (0.54, 0.74), 0.421 (0.36, 0.48), and 0.883 (0.81, 0.92). The combined predictive model showed good predictive value. Conclusion:The volume of pleural effusion can be measured individually and quantitatively based on chest CT. Decreased preoperative albumin and metastases located in the thoracic spine are independent risk factors for the occurrence of large pleural effusion after separation surgery. The combined prediction of the two factors has better predictive efficacy.

As the foremost among the four examinations in traditional Chinese medicine （TCM）， inspection and related equipment research face challenges in landing and transformation due to variations in evidence quality， lack of standardization， insufficient algorithm transparency， and poor reliability and stability of decision-making. Against the backdrop of rapid development of emerging technologies such as big data， the internet of things， and artificial intelligence， coupled with macro policy support from the government， digital and intelligent generalized inspection in TCM has emerged， with the aim of utilizing digital technologies to overcome the limitations of naked-eye inspection and comprehensively perceive and analyze facial and bodily expressions. The research in this field intelligently correlates Zang-fu organ functions with health conditions and disease progression and establishes a technical system for digital and intelligent inspection， multi-dimensional and multimodal perception， fusion analysis， and decision-making. This system aims to enhance the accuracy of disease risk warning and diagnosis， bridging the gap between inspection equipment and assistance in clinical decision-making. From an evidence-based perspective， this paper systematically examines the research ideas of digital and intelligent inspection and the development of related equipment， deeply explores how to propose clinical practice-oriented key scientific issues， comprehensively acquire and co-apply multi-dimensional data， establish precise inspection models driven by digital intelligence， optimize standards to enhance equipment interoperability and reliability， construct post-effect evaluation mechanisms to promote improvement， and actively address potential risks such as the black box nature and information security in the application of intelligent technology. This paper not only demonstrates the tremendous potential of digital technologies in improving the accuracy and clinical application efficiency of inspection but also provides new perspectives and ideas for the modernization of inspection in TCM， paving the way for the application of inspection in the global medical and health field.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Vascular calcification refers to the process of calcium salt deposition in the blood vessel wall,leading to vascular stiffening and loss of elasticity.It commonly occurs in middle-aged and elderly individuals,especially those with chronic conditions such as atherosclerosis,hypertension,diabetes,and chronic kidney disease.Vascular calcification is an active process,and one of the key events is the transdifferentiation of smooth muscle cells into osteoblast-like cells.These cells release calcium ions during the calcification process,leading to calcium salt deposition and the formation of cal-cified plaques.Vascular calcification is regulated by various factors,including high levels of phosphate and calcium,oxi-dative stress,and mechanical stress.Traditional Chinese medicine research has shown potential in attenuating vascular calcification,with substances such as Ganoderma lucidum spore powder and its derivatives,Panax notoginseng,baicalin,geniposide,and triptolide.These studies provide important evidence for further understanding and intervention in vascular calcification and reveal potential inhibitory factors that could be explored for future treatments.

Background::China is one of the countries with the largest burden of gastrointestinal and liver diseases (GILD) in the world. The GILD constitutes various causes of mortality and disability. The study aimed to investigate the trend of GILD in China using the Global Burden of Diseases Study 2019 (GBD 2019) data resources from 1990 to 2019.Methods::The data on the age-standardized mortality rates (ASMR) and disability-adjusted life years (DALYs) for GILD in China from 1990 to 2019 were collected from the GBD 2019 data resources. Furthermore, the ranking of the main causes of deaths and DALYs, as well as the trends of ASMR, DALYs, years of life lost (YLLs), and years of life lost due to disability (YLDs) per 1,000,000 in GILD were reported.Results::The ASMR and DALYs for stomach cancer, liver cancer, and esophageal cancer, which ranked top three among the GILDs from 1990 to 2019, were gradually decreasing. Significant decreases in the ASMR and DALYs were found in diarrheal diseases and acute hepatitis (A, E, and C). However, noteworthy increases were found in those of colon and rectum cancer (CRC) and pancreatic cancer. Trend of DALYs, mortality, and YLLs rates for most of GILD were decreasing from 1990 to 2019, except the burden of CRC and pancreatic cancer with an increasing trend. The DALYs, mortality and YLLs of most GILD diseases showed decreasing trends from 1990 to 2019, except the burden of CRC and pancreatic cancer with an increasing trends.Conclusions::The result of the GBD 2019 showed that the rates of most GILDs decreased in China; however, gastrointestinal and liver cancer, such as stomach cancer still held the top ranking. Furthermore, the shift from infectious diseases to non-communicable causes among GILD burden is occurring.

Objective:To explore and analyze the predictive value of EuroSCORE Ⅱ and SYNTAX Ⅱ scores for clinical outcomes in patients undergoing coronary artery bypass grafting (CABG) surgery.Methods:A total of 500 coronary artery disease (CAD) patients who underwent CABG in Shanxi Cardiovascular Hospital from April 2014 to July 2023 were selected as the study subjects, all patients were given EuroSCORE Ⅱand SYNTAX Ⅱ scores to evaluate the predictive value of EuroSCOREⅡfor perioperative mortality and SYNTAX Ⅱ for 4-year mortality. Univariate and multivariate Logistic analysis were employed to analyze the independent risk factors for perioperative and 4-year mortality.Results:There were 3 deaths during the perioperative period, with a mortality rate of 0.60%, the predicted mortality rate of EuroSCOREⅡwas 1.71%; there were 21 deaths at 4 years after surgery, with a mortality rate of 4.23% and the predicted mortality rate of SYNTAX Ⅱwas 9.02%. Logistic regression analysis showed that left ventricular ejection fraction (LVEF) was the only independent protective factor for perioperative mortality, and advanced age was the only independent risk factor for 4-year postoperative mortality in patients ( P<0.05). The analysis of the working characteristic curve of the subjects found that the area under the receiver operating characteristic curve ( ROC) of EuroSCORE Ⅱ for perioperative mortality was 0.782, and the area under ROC curve of SYNTAX Ⅱfor postoperative 4-year mortality was 0.743. Conclusion:Both EuroSCORE Ⅱand SYNTAX Ⅱhave certain predictive value for perioperative mortality and postoperative 4-year mortality in patients undergoing CABG, respectively, but the predicted mortality rate is relatively higher.