Metabolic associated fatty liver disease （MAFLD） is the main type of chronic liver disease in the world， with an increasingly higher incidence rate and a younger age of onset. At present， the treatment of MAFLD mainly depends on lifestyle intervention and comorbidity management， and there is still a lack of effective drugs for MAFLD itself. As a classic nonsteroidal anti-inflammatory drug of the salicylic acid family， aspirin can intervene in the pathological process of MAFLD by regulating lipid metabolism， relieving insulin resistance， reducing liver inflammation and oxidative stress response， exerting an anti-liver fibrosis effect， and inhibiting hepatocellular carcinoma， and therefore， it has the value of preventing disease onset， delaying disease progression， and reversing disease condition. This article systematically reviews the mechanism of action and safety of aspirin in the treatment of MAFLD， in order to provide more drug treatment options for MAFLD patients.

Objective To construct and validate a prediction model for urosepsis in patients after upper urinary tract stone surgery using various machine learning algorithms.Methods A total of 7 464 upper urinary tract stone patients who underwent surgery at the Sixth Affiliated Hospital of Guangxi Medical University from Jun.2018 to Jun.2023 were enrolled and randomly assigned to training(5 224 cases)or validation sets(2 240 cases)at a ratio of 7∶3.Among them,622(8.33%)cases developed urosepsis postoperatively.Six machine learning algorithms,including extreme gradient boosting(XGBoost),logistic regression,light gradient boosting machine(LightGBM),random forest(RF),adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT),were used to construct prediction models for postoperative urosepsis.The model's predictive ability and clinical benefits were evaluated using receiver operating characteristic(ROC)curves,Shapley additive explanation(SHAP)analysis,calibration curves,and decision curve analysis(DCA).Results The clinical features included body mass index(BMI),number of surgeries,heart rate,Barthel index,venous thrombo embolism(VTE)risk assessment,gender,American Society of Anesthesiologists(ASA)grade,urinary nitrite,and urinary leukocyte in the models.In the training set,the XGBoost,LightGBM,and RF models performed excellently,with area under curve(AUC)values of ROC curves reaching 1.00.In the validation set,the logistic regression model performed the best,with an AUC value of ROC curve of 0.76,showing good predictive stability and calibration.The AdaBoost and GBDT models followed with AUC values of 0.74 and 0.75,respectively,while the AUC values of the LightGBM,XGBoost,and RF models were 0.71,0.70,and 0.68.In terms of model interpretability,SHAP analysis showed the contribution of variables in a descending order as:heart rate,urinary leukocytes,gender,BMI,Barthel index,VTE risk assessment,urinary nitrite,number of surgeries,and ASA grade.Conclusion A logistic regression model for early risk prediction of postoperative urosepsis in upper urinary tract stone patients has been successfully constructed.This model has good predictive performance and calibration,and can effectively assist clinical diagnosis.

Objective To explore the potential characteristics of self-management behavior in maintenance hemodialysis patients with hypertension and determine the influencing factors of different characteristics,so as to provide reference for improving self-management behavior.Methods A total of 192 maintenance hemodialysis patients with hypertension who received dialysis in The First Hospital Affiliated to Naval Medical University from May to September 2022 were enrolled by convenience sampling.A general information questionnaire,hypertension self-management behavior scale,Morisky medication adherence scale-8 items,and medication adherence self-efficacy scale-revision(MASES-R)were used to investigate the potential categories of self-management behavior in maintenance hemodialysis patients with hypertension,and the predictive indicators of each category were analyzed by latent profile analysis.Results Three latent categories of self-management behavior in maintenance hemodialysis patients with hypertension were identified:low self-management behavior,moderate self-management behavior,and high self-management behavior.Medication adherence and medication adherence self-efficacy were predictors of high self-management behavior.Monitoring blood pressure once daily was a predictor of moderate self-management behavior.Conclusion There is significant self-management characteristics among maintenance hemodialysis patients with hypertension.These characteristics and risk factors should be identified early to help patients improving their self-management.

Objective:To explore the association between sublingual microcirculatory perfusion vessel proportion (PPV), high mobility group protein B1 (HMGB1), and sepsis-induced coagulopathy (SIC), and to identify early predictive markers for clinical intervention.Methods:A total of 66 septic patients admitted to the Respiratory Intensive Care Unit (RICU) between November 2021 and May 2024 were enrolled. Based on SIC diagnosis within 24 hours of admission, patients were categorized into SIC ( n=36) and non-SIC ( n=30) groups. Clinical parameters, including prothrombin time (PT), activated partial thromboplastin time (APTT), sublingual PPV, and serum HMGB1 levels (measured at 0 h and 6 h), were analyzed. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to identify independent predictors. Results:Compared with the non-SIC group, the SIC group demonstrated significantly prolonged PT ( P<0.05) and APTT ( P<0.05), elevated 0 h lactate levels, and increased 6 h HMGB1. Spearman analysis revealed a positive correlation between 6 h PPV and platelet count ( P<0.05), while an inverse correlation was observed with 6 h PT ( P<0.05). Multivariate regression identified APTT, 6 h PPV, and 6 h HMGB1 as independent predictors of SIC. ROC analysis yielded AUC values of 0.732 for APTT, 0.802 for 6 h PPV, and 0.765 for 6 h HMGB1. The combination of 6 h PPV and HMGB1 further improved predictive accuracy (AUC=0.873). Conclusions:Prolonged APTT, decreased 6 h PPV, and elevated 6h HMGB1 are key indicators of SIC. Integrated assessment of these markers enhances early risk stratification in septic patients, facilitating timely clinical intervention.

Objective To observe the analgesic effects of mild moxibustion on primary dysmenorrhea(PD)rats with cold and dampness stagnation syndrome and its effect on BDNF/TrkB signaling pathway in hypothalamus;To explore its mechanism for the treatment of PD.Methods A total of 32 Wistar non-pregnant female rats were randomly divided into blank group,model group,Western medicine group and mild moxibustion group,with 8 rats in each group.Except for the blank group,the other groups received estradiol benzoate intraperitoneal injection combined with ice bath treatment + oxytocin intraperitoneal injection to establish PD with cold and dampness stagnation syndrome model.The mild moxibustion group received treatment at"Shenque"and"Guanyuan"from the eighth day of modeling for 10 min,and the Western medicine group was given ibuprofen solution intragastically for 4 days.The latency period of rats twisting was observed and the twisting score was calculated,Western blot and PCR were used to detect the expressions of c-fos,BDNF,TrkB protein and mRNA in hypothalamic tissue.Results Compared with the blank group,the model group showed a shortened latency period and an increased twisting score(P<0.01),the expressions of c-fos,BDNF,TrkB protein and mRNA in hypothalamic tissue increased(P<0.01,P<0.05).Compared with the model group,the mild moxibustion group had a longer latency period and lower twisting score(P<0.01),while the expressions of c-fos,BDNF,TrkB protein and mRNA in hypothalamic tissue increased(P<0.01,P<0.05).Conclusion Mild moxibustion may effectively improve the pain state of PD rats with cold and dampness stagnation syndrome.This mechanism may be related to downregulating c-fos expression,inhibiting BDNF/TrkB signaling pathway activation,thereby inhibiting pain signal transmission,regulating pain occurrence and maintenance.

Objective:To observe the effects of preventative moxibustion on analgesia,substance P(SP),prostaglandin(PG)F2α and PGE2 in rats with dysmenorrhea due to cold-dampness stagnation,and to explore the analgesic mechanism. Methods:Sixty-four female Wistar non-pregnant rats were randomly divided into a blank group,a model group,a Western medicine group,and a preventative moxibustion group,with 16 rats in each group.Eight qualified diestrus rats were selected from each group.Except for the blank group,the other three groups established models of dysmenorrhea due to cold-dampness stagnation using an ice water bath combined with estradiol benzoate and oxytocin.On the 8th day after modeling,the preventative moxibustion group was treated with gentle moxibustion at Shenque(CV8)and Guanyuan(CV4),and the Western medicine group was given ibuprofen solution for 4 consecutive days.On the 11th day,the intervention groups(i.e.the Western medicine group and the preventative moxibustion group)were treated once again after being injected with oxytocin.The writhing score and the pain threshold of rats were determined;the serum levels of brain-derived neurotrophic factor(BDNF),SP,PGF2α,and PGE2 were measured;the mRNA and protein expression levels of BDNF and its receptor tropomyosin receptor kinase B(TrkB)in the spinal dorsal horn and hypothalamus were detected. Results:Compared with the blank group,the writhing score increased(P<0.01),the pain threshold decreased(P<0.01),the serum levels of BDNF,SP,and PGF2α increased(P<0.01),while the PGE2 decreased(P<0.01);the protein and mRNA expression levels of BDNF and TrkB in the spinal dorsal horn and hypothalamus increased(P<0.01)in the model group.Compared with the model group,the writhing score decreased,the pain threshold increased,the serum BDNF,SP,and PGF2α levels decreased significantly,the serum PGE2 level increased,and the protein and mRNA expression levels of BDNF and TrkB in the spinal dorsal horn and hypothalamus decreased significantly in the preventative moxibustion group and the Western medicine group,while the inter-group differences were significant(P<0.01).Compared with the Western medicine group,the writhing score decreased,the pain threshold increased,the serum BDNF,SP,and PGF2α,levels decreased,the serum PGE2 level increased,and the protein and mRNA expression levels of BDNF and TrkB in the spinal dorsal horn and hypothalamus in the preventative moxibustion group decreased significantly,while the inter-group differences were significant(P<0.05 or P<0.01). Conclusion:Preventative moxibustion at Shenque(CV8)and Guanyuan(CV4)can improve the pain sensitization state of rats with dysmenorrhea due to cold-dampness stagnation,down-regulate the mRNA and protein expression levels of BDNF and TrkB in the spinal dorsal horn and hypothalamus;regulation of the serum SP,PGF2α,and PGE2 levels may be part of the mechanism.

Objective:To retrospectively analyze the treatment status of tyrosine kinase inhibitors (TKI) in newly diagnosed patients with chronic myeloid leukemia (CML) in China.Methods:Data of chronic phase (CP) and accelerated phase (AP) CML patients diagnosed from January 2006 to December 2022 from 77 centers, ≥18 years old, and receiving initial imatinib, nilotinib, dasatinib or flumatinib-therapy within 6 months after diagnosis in China with complete data were retrospectively interrogated. The choice of initial TKI, current TKI medications, treatment switch and reasons, treatment responses and outcomes as well as the variables associated with them were analyzed.Results:6 893 patients in CP ( n=6 453, 93.6%) or AP ( n=440, 6.4%) receiving initial imatinib ( n=4 906, 71.2%), nilotinib ( n=1 157, 16.8%), dasatinib ( n=298, 4.3%) or flumatinib ( n=532, 7.2%) -therapy. With the median follow-up of 43 ( IQR 22-75) months, 1 581 (22.9%) patients switched TKI due to resistance ( n=1 055, 15.3%), intolerance ( n=248, 3.6%), pursuit of better efficacy ( n=168, 2.4%), economic or other reasons ( n=110, 1.6%). The frequency of switching TKI in AP patients was significantly-higher than that in CP patients (44.1% vs 21.5%, P<0.001), and more AP patients switched TKI due to resistance than CP patients (75.3% vs 66.1%, P=0.011). Multi-variable analyses showed that male, lower HGB concentration and ELTS intermediate/high-risk cohort were associated with lower cytogenetic and molecular responses rate and poor outcomes in CP patients; higher WBC count and initial the second-generation TKI treatment, the higher response rates; Ph + ACA at diagnosis, poor PFS. However, Sokal intermediate/high-risk cohort was only significantly-associated with lower CCyR and MMR rates and the poor PFS. Lower HGB concentration and larger spleen size were significantly-associated with the lower cytogenetic and molecular response rates in AP patients; initial the second-generation TKI treatment, the higher treatment response rates; lower PLT count, higher blasts and Ph + ACA, poorer TFS; Ph + ACA, poorer OS. Conclusion:At present, the vast majority of newly-diagnosed CML-CP or AP patients could benefit from TKI treatment in the long term with the good treatment responses and survival outcomes.

Objective To characterize the temporal dynamics of endophytic community and key metabolites during the growth developmental stages of Artemisia indica and to explore the effects of endophytes on the medicinal material quality of A.indica from the perspective of microorganism combined with the correlation analysis.Methods In this study,high-throughput sequencing was performed to obtain the temporal dynamics of diversity and composition of endophytic community during the growth stages of A.indica.Key metabolites quantitative analysis were performed using high-performance liquid chromatography and ultraviolet spectrophotometry.Spearman's correlation analysis was further conducted to identify the endophytic communities that were significantly correlated with metabolites.Results There were significant differences in the diversity and composition of endophytic communities during the growth stages of A.indica.Linear discriminant analysis efect size(LEfSe)analyses identified some potential microbial biomarkers,such as Firmicutes,Massilia,Pantoea,Alternaria,Didymella,and Trichomerium.The abundances of some genera were significantly and positively correlated with the content of total polyphenols and total flavonoids(P<0.05),such as Curtobacterium,Pantoea,Tilletiopsis,and Dissoconium.The abundances of Pseudozyma,Ralstonia,and Pleospora were significantly and positively correlated with Chlorogenic acid,Isochlorogenic acid B,Isochlorogenic acid A,and Isochlorogenic acid C(P<0.05).Conclusion This work described the distribution of endophytes and key metabolites during the development stages of A.indica.Some endophytic communities with significant correlation of key metabolites were identified,which provided valuable information to guide the isolation of endophytic strains related to key metabolites and improve the quality of A.indica.

Objective:To evaluate the effect of different interventions in post-percutaneous coronary intervention (PCI) patients with kinesiophobia using network Meta-analysis.Methods:Computerized search of randomized controlled trials and quasi-experiment related to kinesiophobia interventions for post-PCI patients in WanFang database, China National Knowledge Infrastructure, China Biology Medicine, VIP database, Web of Science, PubMed, Cochrane Library and Embase was conducted with a time frame of searching from the establishment of the library to August 3, 2023. Literature screening, data extraction and literature quality evaluation were carried out independently by two researchers. Network Meta-analysis was performed using Stata 17.0 software.Results:A total of 13 literatures were included, including 9 randomized controlled trials and 4 quasi-experiments.Network Meta-analysis showed that cognitive behavioral therapy ( SMD = -4.08, 95% CI -6.49 --1.67), cognitive behavioral therapy combined with cardiac rehabilitation ( SMD = - 3.02, 95% CI -5.43 -- 0.61), dual heart medical intervention ( SMD = - 2.48, 95% , - 4.87 - - 0.09) can reduce the level of exercise fear in patients after PCI, and the difference were statistically significant compared with routine nursing (all P< 0.05). Ranked probability plots showed that the effects of the nine interventions in reducing kinesiophobia in post-PCI patients were cognitive behavioral therapy, cognitive behavioral therapy combined with cardiac rehabilitation, adaptive leadership theory-based intervention, dual heart medical intervention, COX health behavior interaction model, health education based on the behavioral change wheel, graded exposure therapy, mindfulness intervention, and high-intensity interval training in descending order of effectiveness. Conclusions:Cognitive behavioral therapy was the most effective intervention for kinesiophobia in post-PCI patients, but more high-quality randomized controlled trials are needed to further verify this conclusion.

Objective To propose strategies for developing clinical predictive models,aiming to assist researchers in conducting standardized clinical prediction model studies.Methods Literature review was conducted to summarize the operational steps and content for developing clinical predictive models.Then,a methodological framework was summarized and refined through expert consultation.Results The 11-step methodological framework for developing clinical predictive models was obtained by synthesizing the experience of 456 clinical predictive modeling studies and expert consultation,and the details were analyzed and elaborated.Conclusions This study presents methodological strategies and recommendations for the development of clinical predictive models,intended to serve as a guide for researchers.