OBJECTIVE To systematically evaluate the quality of the Heat-clearing and symptom-relieving formula and screen potential marker components that influence the quality of the formula. METHODS The contents of 11 components （calycosin-7- O - β -D-glucoside， ononin， hyperoside， isoquercitrin， baicalin， baicalein， cryptotanshinone， tanshinone Ⅱ A ， tanshinone Ⅰ， senkyunolide A， ferulic acid） in the Heat-clearing and symptom-relieving formula were determined by high-performance liquid chromatography-tandem mass spectrometry （HPLC-MS/MS）. Using the contents of the aforementioned components as variables， cluster analysis （CA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） were conducted using OriginPro 2024 software and SIMCA 14.1 software； marker components affecting the quality of the Heat-clearing and symptom-relieving formula were then screened based on the criteria of variable importance in the projection （VIP） value＞1 and P ＜0.05. The comprehensive evaluation of 20 batches of samples was carried out using the entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） and grey correlation analysis （GCA） methods. RESULTS The contents of the above 11 components were 7.993-72.866， 4.542-31.228， 727.666-1 901.884， 496.846-1 293.279， 1 995.501-6 779.150， 54.500-241.280， 150.302-304.339， 79.698-189.206， 257.118-682.418， 5.498-21.687， 7.524-26.935 μg/g. CA， PCA and OPLS-DA results showed that 20 batches of samples were grouped into 2 categories. Q1， Q3， Q4， Q7-Q9， Q12， Q15， Q16 were grouped into one category， and the rest were grouped into another category； VIP values of ferulic acid， tanshinone Ⅱ A ， baicalin， cryptotanshinone， calycosin-7- O - β -D-glucoside and ononin were all greater than 1 （ P ＜0.05）. Both the entropy weight-TOPSIS and GCA methods showed that the samples ranked in the top 11 according to the euclidean distance and relative correlation degree were Q2， Q5， Q6， Q10， Q11， Q13， Q14， Q17-Q20. CONCLUSIONS The established HPLC-MS/MS method is rapid， accurate and highly sens itive. Combined with chemical pattern recognition analysis， entropy weight-TOPSIS and GCA methods， this method can be used to evaluate the quality of the Heat-clearing and symptom-relieving formula. Ferulic acid， tanshinone Ⅱ A ， baicalin， cryptotanshinone， calycosin-7- O - β -D-glucoside and ononin may be the marker components that affect the quality of this formula. The overall quality of 11 batches of the Heat-clearing and symptom-relieving formula， including Q17， is relatively superior.

IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide and a major cause of chronic kidney disease and kidney failure. IgAN exhibits marked heterogeneity in clinical presentation, histopathology, and pathogenic mechanisms, contributing to variable treatment responses and prognosisamong patients. Precise risk assessment and individualized intervention are therefore of critical importance. This review systematically traces the evolution of IgAN management from traditional risk stratification toward biomarker-driven precision medicine. We first review the clinical utility and limitations of established risk stratification tools, including the KDIGO guidelines, the Oxford MEST-C classification, and the International IgAN Prediction Tool. We then discuss emerging biomarkers closely linked to disease pathogenesis, including galactose-deficient IgA1 (Gd-IgA1), anti-Gd-IgA1 autoantibodies, B cell activating factor (BAFF), a proliferation-inducing ligand (APRIL), and complement components, as well as the targeted therapies they have informed. In addition, urinary biomarkers and multi-omics approaches show promise for dynamic disease monitoring and individualized risk stratification.

Objective To identify the pathogenic gene and variant for a family with branchio-otic syndrome.Methods The clinical data of this family were collected,and the peripheral blood was extracted for deafness gene NGS panel analysis.Pathogenic variation detected was verified by Sanger sequencing.Results The family contained 17 members in three-generations,3 of whom exhibited autosomal dominant,hearing loss,preauricular fistula and branchial cleft fistula,which were in accordance with the clinical diagnosis criteria of branchio-otic syndrome.A no-vel heterozygous variant c.963dupT(p.E322X)in EYA1 gene was identified,which co-segregated with the branchi-o-otic syndrome phenotype in the family.The variant was a nonsense variant resulting in the premature appearance of the stop codon.According to the American College of Medical Genetics and Genomics(ACMG)guidelines and the criteria,the variant was classified as pathogenic.Conclusion We identified a novel pathogenic variant EYA1:c.963dupT(p.E322X)in a family with branchio-otic syndrome.

The aging trend is intensifying currently,but there is still a lack of standardized diagnosis and treat-ment schemes for severe infections in elderly people.This paper focuses on the recommendations for immune-related clinical diagnosis and treatment routes as well as the idea of risk stratified diagnosis and treatment for elderly peo-ple,aiming to effectively prevent infectious diseases in elderly people and perform stratified management through systematic and scientific means of immune function monitoring and regulation,so as to enhance the standardized level of diagnosis and treatment as well as clinical treatment effect of infection in elderly people.

[Purpose]To analyze the lifetime risk of developing and dying from lung cancer at global and regional levels.[Methods]Data of lung cancer incidence and mortality were obtained from GLOBOCAN 2022 and the population and all-cause mortality data were obtained from the United Nations.The lifetime risk of developing and dying from lung cancer globally and across different regions was estimated by multiple primary adjustment method.[Results]The global lifetime risk of developing lung cancer was 3.59％[95％confidence interval(CI):3.58％～3.59％],ranking third among all cancer types.There were significant gender and regional differences in lifetime risk values.The risk for male was 4.43％(95％CI:4.42％～4.44％),which was higher than that for female(2.71％,95％CI:2.70％～2.72％),with a male-to-female ratio of 1.63.Among regions with varying human development index(HDI)levels,the risk increased with HDI levels,in very high HDI re-gions risk was 5.36％(95％CI:5.34％～5.37％),while in low HDI regions the risk was 0.34％(95％CI:0.33％～0.34％).Among the 20 global regions,East Asia had the highest lifetime risk of 7.53％(95％CI:7.52％～7.55％),while West Africa had the lowest risk of 0.16％(95％CI:0.16％～0.17％).The global lifetime risk of dying from lung cancer was 2.78％(95％CI:2.78％～2.78％),ranking the first among all cancer types.There were significant sex and regional differ-ences in lifetime death risk values.The risk for male was 3.64％(95％CI:3.63％～3.64％),which was higher than that for female(1.89％,95％CI:1.89％～1.90％),with a male-to-female ratio of 1.93.Among regions with varying HDI levels,the risk increased with HDI levels,in very high HDI re-gions the risk was 3.98％(95％CI:3.97％～3.99％),while in low HDI regions the risk was 0.31％(95％CI:0.31％～0.31％).Among the 20 global regions,the Federated States of Micronesia/Poly-nesia had the highest death risk of 5.80％(95％CI:4.98％～6.62％),while West Africa had the lowest risk of 0.15％(95％CI:0.15％～0.16％).The lifetime risk of developing and dying from lung cancer in China was 7.54％(95％CI:7.52％～7.56％)and 5.88％(95％CI:5.87％～5.90％),respec-tively,both ranking the first among all cancer types.[Conclusion]The lifetime risk of developing and dying from lung cancer remains high globally and across different regions,with a particularly heavy burden in high-HDI areas.In China,both the lifetime risk of developing and dying from lung cancer are higher than the global average.This highlights the need for continued enhance-ment of comprehensive prevention and control measures,including addressing lung cancer-related risk factors,as well as improving screening,early diagnosis,and treatment efforts to reduce the lung cancer burden.

The aging trend is intensifying currently,but there is still a lack of standardized diagnosis and treat-ment schemes for severe infections in elderly people.This paper focuses on the recommendations for immune-related clinical diagnosis and treatment routes as well as the idea of risk stratified diagnosis and treatment for elderly peo-ple,aiming to effectively prevent infectious diseases in elderly people and perform stratified management through systematic and scientific means of immune function monitoring and regulation,so as to enhance the standardized level of diagnosis and treatment as well as clinical treatment effect of infection in elderly people.

[Purpose]To analyze the lifetime risk of developing and dying from lung cancer at global and regional levels.[Methods]Data of lung cancer incidence and mortality were obtained from GLOBOCAN 2022 and the population and all-cause mortality data were obtained from the United Nations.The lifetime risk of developing and dying from lung cancer globally and across different regions was estimated by multiple primary adjustment method.[Results]The global lifetime risk of developing lung cancer was 3.59％[95％confidence interval(CI):3.58％～3.59％],ranking third among all cancer types.There were significant gender and regional differences in lifetime risk values.The risk for male was 4.43％(95％CI:4.42％～4.44％),which was higher than that for female(2.71％,95％CI:2.70％～2.72％),with a male-to-female ratio of 1.63.Among regions with varying human development index(HDI)levels,the risk increased with HDI levels,in very high HDI re-gions risk was 5.36％(95％CI:5.34％～5.37％),while in low HDI regions the risk was 0.34％(95％CI:0.33％～0.34％).Among the 20 global regions,East Asia had the highest lifetime risk of 7.53％(95％CI:7.52％～7.55％),while West Africa had the lowest risk of 0.16％(95％CI:0.16％～0.17％).The global lifetime risk of dying from lung cancer was 2.78％(95％CI:2.78％～2.78％),ranking the first among all cancer types.There were significant sex and regional differ-ences in lifetime death risk values.The risk for male was 3.64％(95％CI:3.63％～3.64％),which was higher than that for female(1.89％,95％CI:1.89％～1.90％),with a male-to-female ratio of 1.93.Among regions with varying HDI levels,the risk increased with HDI levels,in very high HDI re-gions the risk was 3.98％(95％CI:3.97％～3.99％),while in low HDI regions the risk was 0.31％(95％CI:0.31％～0.31％).Among the 20 global regions,the Federated States of Micronesia/Poly-nesia had the highest death risk of 5.80％(95％CI:4.98％～6.62％),while West Africa had the lowest risk of 0.15％(95％CI:0.15％～0.16％).The lifetime risk of developing and dying from lung cancer in China was 7.54％(95％CI:7.52％～7.56％)and 5.88％(95％CI:5.87％～5.90％),respec-tively,both ranking the first among all cancer types.[Conclusion]The lifetime risk of developing and dying from lung cancer remains high globally and across different regions,with a particularly heavy burden in high-HDI areas.In China,both the lifetime risk of developing and dying from lung cancer are higher than the global average.This highlights the need for continued enhance-ment of comprehensive prevention and control measures,including addressing lung cancer-related risk factors,as well as improving screening,early diagnosis,and treatment efforts to reduce the lung cancer burden.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Objective To investigate the diagnostic value of 4 novel inflammatory markers related to routine blood tests,namely neutrophil-to-lymphocyte ratio(NLR),red blood cell distribution width(RDW),hemoglobin-to-RDW ratio(HRR)and systemic immune-inflammation index(SII),in elderly patients with chronic cardiovascular disease(CVD)complicated with frailty.Methods Retrospectively analyze 110 patients with chronic stable CVD who were hospitalized in the cadre ward of cardiovascular medicine at the Air Force Characteristic Medical Center from January 2022 to June 2023.According to the assessment results of the Fried scale,they were divided into three groups:non-frailty group(Fried score=0,n=30),the pre-frailty group(Fried score 1 or 2,n=40)and frailty group(Fried score≥3,n=40).The differences in general information,the impairment rate of daily living activities,miniature nutritional assessment-short form(MNA-SF)scores,mini-mental state examination(MMSE)scores,and the indicators such as NLR,RDW,HRR,and SII among the three groups were compared.Spearman rank correlation was used to analyze the correlation between NLR,RDW,HRR,SII and frailty scores as well as each frailty indicator.Multivariate logistic regression analysis was performed to identify the independent risk factors for frailty in elderly patients with chronic CVD,and the receiver operating characteristic(ROC)curve was used to assess the clinical diagnostic value of NLR and HRR in elderly patients with chronic CVD complicated with frailty.Results Compared with non-frailty group and pre-frailty group,patients in frailty group were older,with higher impaired rates of daily living activities,NLR,RDW,and SII,and lower MNA-SF scores,MMSE scores,and HRR,and differences were statistically significant(P<0.05).Spearman rank correlation analysis showed that the frailty score was positively correlated with NLR(rs=0.354,P<0.001),and RDW(rs=0.448,P<0.001),negatively correlated with HRR(rs=-0.232,P=0.024),and had no significant correlation with SII(rs=0.144,P=0.167).Further analysis of the correlation between the above novel inflammatory markers and the 5 components of frailty showed that NLR was positively correlated with fatigue(rs=0.228,P=0.017),slowed walking speed(rs=0.299,P<0.001),and low physical function(rs=0.319,P<0.001);RDW was positively correlated with decreased grip strength(rs=0.321,P<0.001),slowed walking speed(rs=0.422,P<0.001),and low physical function(rs=0.246,P=0.001);and HRR was negatively correlated with slowed walking speed(rs=-0.230,P=0.025),and low physical function(rs=-0.299,P=0.003).Multivariate logistic regression analysis showed that MNA-SF score(OR=0.577,95%CI 0.342-0.973)was an independent protective factor for pre-frailty in elderly patients with chronic CVD(P<0.05);NLR(OR=7.866,95%CI 1.101-56.185)was an independent risk factor for frailty,while HRR(OR=0.344,95%CI 0.120-0.983)and MNA-SF score(OR=0.292,95%CI 0.146-0.580)were independent protective factors for frailty in elderly CVD patients(P<0.05).The area under the ROC curve of NLR and HRR for diagnosing frailty in elderly patients with chronic CVD were 0.778 and 0.749,respectively.Conclusion NLR and HRR have high clinical diagnostic value for frailty in elderly patients with chronic CVD,and are expected to become effective inflammatory markers for screening elderly patients with chronic CVD complicated with frailty.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.