Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.

Objective:To investigate the prevalence status and the clinical characteristics of hepatitis D virus (HDV) among patients chronically infected with hepatitis B virus (HBV) in the Xinjiang region.Methods:A cross-sectional study was conducted. Serum samples from 1 830 patients with chronic HBV infection who visited the Traditional Chinese Medicine Hospital of Xinjiang Uygur Autonomous Region from December 2022 to October 2023 were collected. All sera were tested for anti-HDV IgG and IgM. Sera positive for anti-HDV IgG or IgM were selected for HDV RNA detection. HDV RNA-positive sera were sequenced to determine the HDV genotype. Age, gender, HBV course, and anti-HBV treatment status were used as scoring items based on the propensity score matching (PSM) method. Chronic HBV patients with negative anti-HDV were matched in a ratio of 1∶1. The clinical characteristics of anti-HDV -positive-patients were analyzed. The t-test was used for comparison between groups of normally distributed continuous data. The Wilcoxon signed-rank test was used for comparison between groups of skewness distribution. The χ2 test was used for comparison between groups of enumeration data. Results:The positive detection rates of anti-HDV IgG, anti-HDV IgM, and HDV RNA in 1 830 cases with chronic HBV infection were 2.24% (41/1 830), 1.09% (20/1 830), and 1.69% (31/1 830), respectively. All HDV RNA-positive patients had HDV genotype 1. Two anti-HDV-positive patients had negative hepatitis B surface antigen (HBsAg). Gender, age, HBV course, and anti-HBV treatment status had no significant difference. The quantification of HBsAg, liver biochemical indexes (alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, and total bile acids), the proportion of patients with liver cirrhosis, and alpha-fetoprotein were significantly higher in the anti-HDV-positive group than in those in the anti-HDV-negative group ( P<0.05). Conclusion:The prevalence rate of HDV in chronic HBV-infected patients at a single center in the Xinjiang region was 2.24%, with the primary genotype being 1. Furthermore, overlap infection should be paid attention to because it might aggravate liver damage.

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.

Oral potentially malignant disorders (OPMD) refer to a group of diseases occurring on the oral mucosa that harbor the potential to progress into oral squamous cell carcinoma, including oral leukoplakia, oral erythroplakia, discoid lupus erythematosus of the oral mucosa, oral submucous fibrosis, oral lichen planus, actinic cheilitis, etc. Diabetes mellitus (DM) is one type of diseases characterized by chronic hyperglycemia, with a high incidence and mortality rate worldwide. Hyperglycemia is the characteristic metabolic change in DM patients and those in the pre-diabetic stage, playing a determinative role in many complications related to DM. A number of clinical studies had revealed an association between hyperglycemia and OPMD, as well as its malignant transformation. This article will review the potential regulatory effects and mechanisms of high glucose states, such as diabetes, on OPMD, and assess the correlation between hyperglycemia and the malignant transformation of OPMD.

In February 2025, a local cluster outbreak caused by the D8 genotype Measles virus (MV) was first discovered in Henan Province. Epidemiological investigations and laboratory testing were conducted, including the collection of serum and throat swabs for MV IgM antibody and nucleic acid detection, virus isolation and genetic homology analysis. Measures such as close contact tracing, vaccination rate assessment and supplementary immunization activities were implemented, successfully preventing broader community transmission. A total of three cases were reported during the outbreak, including one imported-related adolescent and two secondary local adult cases. All cases presented with typical symptoms such as fever and rash. Both adult cases were complicated by pneumonia, with one case developing into severe pneumonia. MV genotyping showed that the two secondary cases were both the D8 genotype, with the viral sequences being completely homologous to the Kazakhstan strain. Among the close contacts, 98.2% were adults, and 142 individuals received emergency vaccination.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

Objective:To translate the Maastricht Clinical Teaching Questionnaire (MCTQ) into Chinese and evaluate its reliability and validity in standardized training of residents.Methods:The Chinese version of MCTQ was obtained according to the Brislin translation model, including translation, back-translation, and cross-cultural debugging. A convenient sampling survey was carried out among the trainees in the First Affiliated Hospital of Shandong First Medical University in June 2022 by using an online survey tool. A total of 562 valid questionnaires were collected. Data from valid survey questionnaires were subjected to item analysis (critical ratio method), reliability analysis (Cronbach's alpha coefficient and composite reliability), structural validity analysis (exploratory factor analysis and confirmatory factor analysis), and discriminant validity analysis using SPSS 25.0 and AMOS 24.0 software.Results:The Chinese version of MCTQ scale consisted of 24 items, which was consistent with the original scale. Four common factors were extracted with a cumulative variance contribution of 79.96%. The four-factor model demonstrated high goodness of fit. The χ2/d f, RMR, RMSEA, GFI, AGFI, NFI, and CFI were 3.491, 0.008, 0.067, 0.886, 0.861, 0.947, and 0.962, respectively. Both Cronbach's α and composite reliability exceeded 0.7, indicating high internal consistency and reliability. The correlation coefficients between the four factors ranged from 0.265 to 0.307, all of which were smaller than the corresponding square roots of average variance extracted, demonstrating high structural and discriminant validity. Conclusions:The Chinese version of MCTQ is valid and reliable in the Chinese context and can serve as a useful tool to evaluate the performance of clinical teachers during standardized residency training.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To investigate the association between cavitary pulmonary tuberculosis and im-munonutritional status in the Kangbei Plateau and construct a prediction model.Methods A total of 121 pa-tients with active pulmonary tuberculosis treated at Ganzi County People's Hospital from June 2023 to June 2024 were retrospectively enrolled and divided into cavitary group(n=53)and non-cavitary group(n=68)based on imaging findings.Clinical and laboratory data were collected.Influencing factors for pulmonary cavi-tation in tuberculosis were screened using univariate and multivariate logistic regression analysis to construct a prediction model.The model's performance was evaluated using receiver operating characteristic(ROC)curve analysis and the Hosmer-Lemeshow test.Results The cavitary group had higher proportions of smokers,spu-tum-positive cases,patients with disease duration>6 months,and patients with respiratory symptoms at ini-tial diagnosis,as well as higher neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),neutrophil count,and platelet count than the non-cavitary group(P<0.05).Conversely,the prognostic nutri-tional index(PNI),lymphocyte count,and albumin(ALB)level were lower in the cavitary group(P<0.05).Multivariate analysis identified disease duration,NLR,and ALB as influencing factors for pulmonary cavitation in tuberculosis patients(P<0.05).The prediction model yielded an area under the curve(AUC)of 0.909,and the Hosmer-Lemeshow test indicated good model fit(χ2=10.740,P=0.217).Conclusion Pulmonary cavitation in high-altitude tuberculosis patients is associated with disease duration,ALB,and NLR.The com-bined predictive value of these three indicators is high.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.