ObjectiveTo investigate the value of predictive models established based on machine learning methods in predicting the risk of metabolic associated fatty liver disease （MAFLD）， and to analyze its key risk factors. MethodsA retrospective analysis was performed for the 50 variables of 2 168 healthy individuals who underwent physical examination in Department of Health Assessment， Xiyuan Hospital， China Academy of Chinese Medical Sciences， from January 2021 to December 2024， including body composition， past history， and laboratory tests， and according to whether they were diagnosed with MAFLD or not， they were divided into MAFLD group with 265 individuals and non-MAFLD group with 1 903 individuals. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. Randomly split the research data into a training set and a validation set in a 70% to 30% ratio. Predictive factors were screened from the training set data using univariate analysis， LASSO regression， and multivariate Logistic regression analysis. Predictive models were then constructed using seven machine learning methods： Logistic regression， decision tree， random forest （RF）， eXtreme gradient boosting， light gradient boosting machine， support vector machine， and artificial neural network. Model performance was evaluated by plotting receiver operating characteristic curve for the validation set and calculating the area under the curve （AUC）， sensitivity， specificity， and Youden index for each model. Furthermore， the SHapley Additive exPlanation （SHAP） method was used to analyze the contribution of variables in the optimal model. ResultsThe prevalence rate of MAFLD among the 2 168 subjects was 12.22% （265/2 168）. Smoking， diastolic blood pressure， phase angle， visceral fat area， muscle fat ratio， waist-to-hip ratio， aspartate aminotransferase， non-HDL-C/HDL-C ratio， triglyceride-glucose index， and gallstones were independent risk factors for MAFLD （all P<0.05）. The seven predictive models of support vector machine， eXtreme gradient boosting， decision tree， light gradient boosting machine， artificial neural network， RF， and Logistic regression had an AUC of 0.738， 0.754， 0.757， 0.786， 0.795， 0.796， and 0.815， respectively， in the validation set， among which the RF model had the best discriminatory ability （AUC=0.796， 95% confidence interval： 0.754 — 0.839）， with a sensitivity of 81.01%， a specificity of 63.16%， and a Youden index of 44.17%. The SHAP analysis showed that visceral fat area， waist-to-hip ratio， and diastolic blood pressure were the top three predictive factors in terms of importance. ConclusionThe RF model， constructed based on body composition and clinical indicators， has a good performance in predicting the risk of MAFLD， and its interpretability can help to identify high-risk individuals in the early stage in clinical practice.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective This study conducted molecular biological identification of the viruses carried by Culex pipiens pallens specimens collected in Shunyi District, Beijing in 2023, and observed the changes in the infection rate of the viruses carried by Cx. pipiens pallens at different collection times. Methods Cx. pipiens pallens were collected using carbon dioxide mosquito traps. The mosquito samples were ground in batches and analyzed by molecular biology technologies. The virus infection rate at different collection times was analyzed statistically. Results 17 strains of Culex pipiens pallens densovirus(CppDNV)were identified from Cx. pipiens pallens samples collected in Shunyi District, Beijing, in 2023. The nucleotide sequence analysis of the virus genome coding region showed that CppDNV was a single-stranded DNA virus with a total length of 3 335 nt, encoding 2 non-structural proteins(NS1, NS2)and 1 capsid protein(VP). The nucleotide(amino acid)sequence lengths of the three proteins were 2 376 nt(791 aa),1 092 nt(363 aa)and 1 071 nt(356 aa), respectively. Phylogenetic analysis showed that CppDNV was located in genus Brevihamaparvovirus. Statistical analysis showed no significant difference in infection rates across collection times(χ2=4.429, P=0.194). Conclusions CppDNV was identified in Cx. pipiens pallens in Beijing, and it was stably maintained in this natural population.

Objective: To investigate the impact of milk and egg supplementation on body composition and bone mineral density of rural primary school students in Yunnan Province, so as to provide a reference for developing targeted nutritional intervention strategies. Methods: In December 2023, a cluster sampling method was adopted to select students from grades one to three in four primary schools each from Jinggu and Shidian countys of Yunnan Province, as the intervention group (662 students). Additionally, two boarding primary schools were selected from each county based on the principle of matching scale and student numbers as the control group (455 students). Starting from April 2023, the intervention group received 200 mL milk and 50 g eggs during the break on school days for 8 months, while the control group maintained their usual diet behavior. Body composition was measured by using bioelectrical impedance analysis, and distal radial bone mineral density was assessed via dual energy X-ray absorptiometry in April and December 2023. The intervention effects were analyzed by using a difference in-differences approach. Results: The final measurements of body fat percentage, skeletal muscle mass and fat free mass of the intervention group and the control group of primary school students were significantly higher than the baseline values, and the net effect of milk and egg intervention on these body composition indicators was not statistically significant ( P >0.05, both before and after adjustment). In contrast, bone mineral density increased significantly by 0.02 g/cm 2 in the intervention group. The net intervention effect on bone mineral density was statistically significant ( β=0.02, 95%CI =0.00-0.04), and remained significant after model adjustment ( β=0.02, 95%CI =0.00-0.04) (both P < 0.05). Subgroup analysis showed statistically significant effects of the intervention among girls ( β=0.02, 95%CI =0.00-0.04), day students ( β=0.04, 95%CI =0.01-0.07), and students with normal nutritional status ( β=0.02, 95%CI =0.00-0.04) (all P <0.05). No significant effect of milk and egg supplementation was observed on body composition indicators (all P <0.05). Conclusions Milk and egg supplementation can improve bone mineral density among rural primary school students in Yunnan Province. It is recommended that rural school aged children should increase intake of milk and eggs to support growth and development.

As the population is aging rapidly,the incidence of Alzheimer's disease(AD)is increasing year by year.The World Health Organization stresses that early prevention plays a key role in reducing the incidence of AD.Subjective cognitive decline(SCD)is an early window of AD development,and timely intervention can effectively slow down the progression of the disease or prevent it from developing into dementia,thus reducing the burden on the society.White matter hyperintensity(WMH)can effectively reflect white matter changes and provide strong evidence to identify SCD.In this paper,we review the recent research progress in WMH and SCD,reveal the problems in the current research on WMH,explain the correlation between WMH and SCD in terms of physiopathology and cognitive function,and put forward several suggestions for the future research.
Humans ; White Matter/pathology* ; Cognitive Dysfunction/pathology* ; Alzheimer Disease/pathology* ; Magnetic Resonance Imaging

Objective·To investigate the efficacy and safety of a dose-reduced,all-oral lenalidomide/melphalan/prednisone acetate(RMP)regimen in elderly and frail patients with newly diagnosed multiple myeloma(NDMM).Methods·Elderly and frail NDMM patients who visited the Department of Hematology of Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,and the Third People's Hospital of Kunshan from April 2018 to March 2024 were retrospectively included.Clinical data and laboratory indicators were collected,and all patients were treated with the RMP regimen.SPSS 27.0 and R software were used for statistical analysis.Independent t-test was applied to normally distributed quantitative data,Mann-Whitney U test to non-normally distributed quantitative data,and x2 test and Fisher's exact probability method to qualitative data.Kaplan-Meier survival curves and Log-rank test were used for survival analysis.Results·Among the 22 elderly and frail NDMM patients treated with RMP,the median age was 76.3(68.4,95.0)years,and the median follow-up time was 25.5 months.The overall response rate(ORR)was 68.2%,and the rate of≥very good partial response(VGPR)was 36.4%.The median progression-free survival(PFS)was 20.53 months.The median PFS in the≤75-year-old group was 25.23(95%CI 12.95?37.52)months,while in the>75-year-old group it was 18.23(95%CI 14.86?21.61)months.There was no significant difference between the two groups.The median PFS in the≥partial response(PR)group was 20.67(95%CI 13.57?27.76)months,and in the

Objective:To construct a recommended list of high-alert medication (HAM) based on big data from medication error (ME) reports in China, providing reference for preventing and reducing HAM-related risks.Methods:The drugs involved in the serious ME reports of the National Monitoring Network for Clinical Safe Medication (Monitoring Network) were collected (as of December 31, 2023), and the candidate drugs were preliminarily determined referring to the HAM list of China 2023 (Chinese list) and the latest three lists of American Institute for Safe Medication Practices (ISMP). Candidate drugs that were included in both the Chinese list and ISMP lists, as well as those existed in the Chinese list but had never been included in the ISMP lists were included in the current list, and their risk levels followed the original risks in the Chinese list. Candidate drugs that existed in the Chinese list but had been excluded from the ISMP lists, and those existed in the ISMP lists but had not been included in the Chinese list were listed as suspected drugs. For the other candidate drugs, those did not meet the definition of HAM were excluded firstly, and those related to ME that had caused serious harm were listed as suspected drugs, according to the judicial cases on ME of China Judgements Online and PKULAW database. Two methods, including Delphi expert consultation and questionnaire survey, were used to determine whether the above suspected drugs were included in the HAM list and their risk levels.Results:A total of 138 drugs were obtained through the initial screening, 106 of which were directly included in the current list, and 32 of which were listed as drugs requiring further assessment. After 2 rounds of Delphi expert consultation by 18 experts and surveys with 136 valid questionnaires, 32 suspected drugs did not meet the inclusion criteria. Finally, a total of 106 drugs were included in the current list, including 51 A-class drugs in 9 categories, 33 B-class drugs in 9 categories, and 22 C-class drugs in 5 categories.Conclusion:Based on the big data of the ME reports in China, a HAM list is constructed, which is accurate and concise and better fits the actual clinical drug risks in China, helping to improve the drug safety management.

Objective To explore the short-term and long-term efficacy of partial splenic artery embolization(PSE)in the treat-ment of cirrhosis with hypersplenism.Methods A retrospective analysis was conducted on 35 patients with cirrhosis and hyper-splenism who underwent PSE treatment.Data on white blood cell(WBC),red blood cell(RBC),platelet count(PLT),hemoglobin(HGB),total bilirubin(TBiL),albumin(ALB),prothrombin time(PT),and D-dimer were collected at the three time points:before surgery,1 week after surgery,and 1 year after surgery.The changes in these parameters across the three time points were observed and compared.One-way ANOVA was used for repeated measurements,and time pairwise comparisons were made between the three time points.According to the formation of portal thrombosis,patients were divided into thrombus group and no-thrombus group.The D-dimer values were compared before surgery and 1 week after surgery.Results WBC and PLT were significantly higher 1 week and 1 year after surgery than those before surgery,with the most significant increase 1 week after surgery,and there was also statistically sig-nificant difference between 1 week after surgery and 1 year after surgery(P1,P2,P3<0.05).There were no significant differences in RBC and HGB between 1 week after surgery and before surgery(RBC P1=0.835,HGB P1=0.446).However,RBC and HGB 1 year after surgery were significantly higher than those before surgery and 1 week after surgery(RBC P2=0.039,P3=0.015;HGB P2=0.001,P3=0.010).There were significant differences in TBiL,ALB,PT,and D-dimer 1 week after surgery compared with those before surgery(TBiL P1=0.006,ALB P1<0.001,PT P1=0.001,D-dimer P1<0.001),but there was no significant differ-ence between 1 year after surgery and before surgery(all P2>0.05).The D-dimer of the thrombus group was significantly higher than that of the no-thrombus group 1 week after surgery,with a statistical significance(P=0.024),however,there was no signifi-cant difference in D-dimer between the two groups before surgery.Conclusion PSE in the treatment of cirrhosis with hypersplenism shows positive short-term and long-term efficacy for WBC and PLT.The short-term increase of RBC and HGB is not obvious,however the long-term efficacy is significant.In the short-term after surgery,TBiL increase,ALB decrease,PT prolonge,and liver reserve function decrease,but there was no long-term effect.The increase of D-dimer after surgery can easily induce portal thrombosis,and anticoagulation therapy can be given in the short-term after surgery.

In modern society, sugary foods have become an integral part of many people′s lives. However, excessive sugar consumption has adverse effects on both overall health and oral health, serving as a contributing factor to the global increasing incidence in oral diseases, cardiovascular diseases, cancers, obesity, and diabetes. In response to the health risks related to high-sugar diets, the World Health Organization (WHO) and World Dental Federation (FDI) have proposed initiatives and recommendations, with various governments implementing different policies and strategies to reduce sugar intake. Chinese government has also taken proactive measures. The "Healthy China Action (2019-2030)" initiative introduced by the State Council in 2019 established a crucial benchmark in limiting the average daily intake of added sugar to 25 g per person forward to 2030. Experts from Chinese Center for Disease Control and Prevention and the field of oral health have meticulously examined the impacts of sugar reduction on oral health, as well as strategies, methods, and practical considerations related to reducing sugar intake through several meeting and wrote the "Expert consensus: reducing free-sugar for caries prevention", which was subsequently reviewed and revised based on the feedback from multiple stakeholders. They have conducted thorough analyses of global trends in sugar reduction and best practices to provide valuable insights to China for crafting effective policies and strategies on sugar reduction. This consensus mainly includes the classification of free sugars, the latest scientific evidence on dental caries, recommendations from WHO on sugar-sweetened beverage taxes, nutrition labeling, advertising, food reform, adjusting supply systems, education, and promotion strategies, as well as sugar reduction actions taken by various governments around the world. Combining the actual situation in China, policy recommendations and authoritative popular science knowledge on sugar reduction for caries prevention to public are proposed to advocate for experts in multiple fields to focus on sugar reduction for caries prevention, promote the work process, and provide the scientific basis for oral health educators.

OBJECTIVE: To explore the molecular mechanism of Shenmai Injection (SMI) against doxorubicin (DOX) induced cardiomyocyte apoptosis. METHODS: A total of 40 specific pathogen-free (SPF) male Sprague Dawley (SD) male rats were divided into 5 groups based on the random number table, including the control group, the model group, miR-30a agomir group, SMI low-dose (SMI-L) group, and SMI high-dose (SMI-H) group, with 8 rats in each group. Except for the control group, the rats were injected weekly with DOX (2 mg/kg) in the tail vein for 4 weeks to induce myocardial injury, and were given different regimens of continuous intervention for 2 weeks. Cardiac function was detected by echocardiography and myocardial pathological changes were observed by Van Gieson (VG) staining. Myocardial injury serum markers, including creatine kinase (CK), lactate dehydrogenase (LDH), troponin T (cTnT), N-terminal pro-brain natriuretic peptide (NT-proBNP), soluble ST2 (sST2), and growth differentiation factor-15 (GDF-15) were detected by enzyme linked immunosorbent assay (ELISA). Cardiomyocyte apoptosis was observed by terminal deoxynucleotidyl transferase-mediated biotinylated dUTP triphosphate nick end labeling (TUNEL) and transmission electron microscopy, and the expressions of target proteins and mRNA were detected by Western blot and quantitative real time polymerase chain reaction (qRT-RCR), respectively. RESULTS: The treatment with different doses of SMI reduced rat heart mass index and left ventricular mass index (P<0.05), significantly improved the left ventricular ejection fraction (P<0.05), decreased the levels of serum CK, LDH, cTnT, and NT-proBNP (P<0.05 or P<0.01), reduced the levels of serum sST2 and GDF-15 (P<0.05 or P<0.01), decreased the collagen volume fraction, reduced the expressions of rat myocardial type I and type III collagen (P<0.05 or P<0.01), and effectively alleviated myocardial fibrosis. And the study found that SMI promoted the expression levels of miR-30a and Bcl-2 in myocardium, and down-regulated the expression of Bax, which inhibited the activation of Caspase-3 and Caspase-9 (P<0.05 or P<0.01), and improved myocardial cell apoptosis. CONCLUSIONS SMI can alleviate myocardial injury and apoptosis caused by DOX, and its mechanism possibly by promoting the targeted expression of myocardial Bcl-2 protein through miR-30a.
Animals ; Myocytes, Cardiac/metabolism* ; Apoptosis/drug effects* ; MicroRNAs/genetics* ; Rats, Sprague-Dawley ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Doxorubicin/pharmacology* ; Proto-Oncogene Proteins c-bcl-2/genetics* ; Drug Combinations ; Injections ; Rats