Objective:To explore the influencing factors of self-management of first-treatment pulmonary tuberculosis patients based on the random forest model, and to provide a theoretical basis for clinical staff to improve the self-management of pulmonary tuberculosis patients by providing efficient, high-quality, and individualized interventions.Methods:A cross-sectional study was used to select pulmonary tuberculosis patients who were hospitalized in the Department of Respiratory Medicine of the Fourth People′s Hospital of the Ningxia Hui Autonomous Region and who met the inclusion and exclusion criteria from December 2023 to February 2024 by using the convenience sampling method as the study subjects. General information questionnaire, Chronic Disease Patients′ Self-health Management Ability Assessment Scale, Perceived Social Support Scale, Hospital Anxiety and Depression Scale, and a tuberculosis prevention and treatment knowledge questionnaire were used to conduct the survey, and Spearman′s correlation was used to analyze the correlation between variables, and multivariate linear regression and a random forest model were used to analyze the influencing factors of self-management.Results:A total of 204 first-treatment pulmonary tuberculosis patients, 111 males and 93 females, 64 patients aged 18-44 years, 59 patients aged 45-59 years, and 81 patients ≥60 years were finally investigated. The total self-management score of tuberculosis patients was 162.00 (148.00, 176.75), and the total self-management score was positively correlated with the total perceived social support score, family support, friend support, and other support, respectively ( r values were 0.307-0.400, all P<0.01), negatively correlated with the anxiety and depression scores, respectively ( r=-0.195, -0.313, both P<0.01), and positively correlated with the total score of knowledge of tuberculosis control ( r=0.257, P<0.01); the results of multiple linear stepwise regression analysis showed that literacy, family support, other support, anxiety, and knowledge of tuberculosis control were the influencing factors of self-management ability ( t values were -2.89-2.98, all P<0.05), which explained a total of 23.1% of the total variance; and the random forest model ranked the importance of the influencing factors in the order of high to low were other support, family support, knowledge of tuberculosis control, literacy, and anxiety. Conclusions:The self-management of first-treatment pulmonary tuberculosis patients is at an intermediate level, In order to improve the self-management ability of first-treatment pulmonary tuberculosis patients, clinical personnel should establish a "patient-centered" self-management education concept, pay attention to the construction of their social support system, provide adequate, continuous, individualized knowledge education and information support, promote their psychological health, and reduce their negative emotions.

Resistance to poly adenosine diphosphate(ADP)-ribose polymerase inhibitor(PARPi)presents a considerable obstacle in the treatment of ovarian cancer.F-box and tryptophan-aspartic(WD)repeat domain containing 11(FBXW11)modulates the ubiquitination of growth-and invasion-related factors in lung cancer,colorectal cancer,and osteosarcoma.The function of FBXW11 in PARPi therapy is still ambiguous.In this study,RNA sequencing(RNA-seq)showed that FBXW11 expression was raised in ovarian cancer cells that had been treated with PARPi.FBXW11 was abnormally expressed at low levels in high-grade serous ovarian cancer(HGSOC)tissues,and low levels of FBXW11 were associated with shorter overall survival(OS)and progression-free survival(PFS)in HGSOC patients.Overexpressing FBXW11 made ovarian cancer more sensitive to PARPi,while knocking down FBXW11 made it less sensitive.The four-dimensional(4D)label-free quantitative proteomic analysis revealed that FBXW11 targeted S100 calcium binding protein A11(S100A11)and promoted its degradation through ubiquiti-nation.The increased degradation of S100A11 led to less efficient DNA damage repair,which in turn contributed to increased PARPi-induced DNA damage.The role of FBXW11 in promoting PARPi sensitivity was also confirmed in xenograft mouse models.In summary,our study confirms that FBXW11 promotes the susceptibility of ovarian cancer cells to PARPi via affecting S10OA11-mediated DNA damage repair.

Objective To investigate the clinical characteristics and prognostic risk factors in elderly patients with acute myeloid leukemia(AML).Methods A retrospective analysis was conducted on the clinical data of 101 elderly AML patients admitted to Affiliated Hospital of Jiaxing University from January 2022 to December 2024.All patients were treated with azacitidine+venetoclax regimen.The clinical characteristics of patients and the risk factors related to prognosis were explored.Results The median follow-up was 14 months.Among the 101 patients,74 achieved complete remission or complete remission with incomplete hematological recovery.The median overall survival(OS)of patients with aged ≥70 years,white blood cell count＞50 × 109/L,TP53 mutation,complex chromosomes,and high-risk European leukemia net(ELN)risk stratification was significantly shortened(P＜0.05).Multivariate analysis showed that age(HR=0.125,95％CI:0.023-0.662,P=0.015),white blood cell count(HR=0.145,95％CI:0.032-0.662,P=0.013),and ELN risk stratification(HR=100.397,95％CI:14.395-700.207,P＜0.001)were all independent influencing factors for OS in elderly AML patients.Conclusion Age,white blood cell count and ELN risk stratification are all independent influencing factors affecting OS in elderly AML patients.

Objective:To explore the influencing factors of self-management of first-treatment pulmonary tuberculosis patients based on the random forest model, and to provide a theoretical basis for clinical staff to improve the self-management of pulmonary tuberculosis patients by providing efficient, high-quality, and individualized interventions.Methods:A cross-sectional study was used to select pulmonary tuberculosis patients who were hospitalized in the Department of Respiratory Medicine of the Fourth People′s Hospital of the Ningxia Hui Autonomous Region and who met the inclusion and exclusion criteria from December 2023 to February 2024 by using the convenience sampling method as the study subjects. General information questionnaire, Chronic Disease Patients′ Self-health Management Ability Assessment Scale, Perceived Social Support Scale, Hospital Anxiety and Depression Scale, and a tuberculosis prevention and treatment knowledge questionnaire were used to conduct the survey, and Spearman′s correlation was used to analyze the correlation between variables, and multivariate linear regression and a random forest model were used to analyze the influencing factors of self-management.Results:A total of 204 first-treatment pulmonary tuberculosis patients, 111 males and 93 females, 64 patients aged 18-44 years, 59 patients aged 45-59 years, and 81 patients ≥60 years were finally investigated. The total self-management score of tuberculosis patients was 162.00 (148.00, 176.75), and the total self-management score was positively correlated with the total perceived social support score, family support, friend support, and other support, respectively ( r values were 0.307-0.400, all P<0.01), negatively correlated with the anxiety and depression scores, respectively ( r=-0.195, -0.313, both P<0.01), and positively correlated with the total score of knowledge of tuberculosis control ( r=0.257, P<0.01); the results of multiple linear stepwise regression analysis showed that literacy, family support, other support, anxiety, and knowledge of tuberculosis control were the influencing factors of self-management ability ( t values were -2.89-2.98, all P<0.05), which explained a total of 23.1% of the total variance; and the random forest model ranked the importance of the influencing factors in the order of high to low were other support, family support, knowledge of tuberculosis control, literacy, and anxiety. Conclusions:The self-management of first-treatment pulmonary tuberculosis patients is at an intermediate level, In order to improve the self-management ability of first-treatment pulmonary tuberculosis patients, clinical personnel should establish a "patient-centered" self-management education concept, pay attention to the construction of their social support system, provide adequate, continuous, individualized knowledge education and information support, promote their psychological health, and reduce their negative emotions.

N-acetyl-p-aminophenol （APAP） is an antipyretic analgesic commonly used in clinical practice， and APAP overdose can cause severe liver injury and even death. In recent years， the incidence rate of APAP-induced liver injury （AILI） tends to increase， and it has become the second most common cause of liver transplantation worldwide. Autophagy is a highly conserved catabolic process that removes unwanted cytosolic proteins and organelles through lysosomal degradation to achieve the metabolic needs of cells themselves and the renewal of organelles. A large number of studies have shown that autophagy plays a key role in the pathophysiology of AILI， involving the mechanisms such as APAP protein conjugates， oxidative stress， JNK activation， mitochondrial dysfunction， inflammatory response and apoptosis. This article elaborates on the biological mechanism of autophagy in AILI， in order to provide a theoretical basis for the treatment of AILI and the development of autophagy regulators.

Objective To investigate the mediating role of anxiety and depression in social sup-port and burnout among primary caregivers of stroke patients.Methods A convenience sampling method was employed to select 506 primary caregivers of stroke patients as research subjects.The Gen-eral Information Questionnaire,Caregiver Burnout Inventory for Stroke Patients,Multidimensional Scale of Perceived Social Support,and Hospital Anxiety and Depression Scale were used for data col-lection.Results The total scores for caregiver burnout,social support,anxiety,and depression a-mong primarycaregivers of stroke patients were(72.83±14.32),(47.79±7.74),(10.49±3.00),and(10.45±3.06),respectively.Correlation analysis revealed a negative correlation between caregiver burnout and social support(r=-0.245,P＜0.001),and positive correlations with anxiety and depression(r=0.178,0.216,P＜0.001).Anxiety and depression partially media-ted the relationship between social support and caregiver burnout,accounting for 7.9％and 10.7％of the total effect,respectively.Conclusion Social support,anxiety,depression,and burnout are closely interrelated.Social support can directly or indirectly influence the occurrence of burnoutthrough anxiety and depression.Medical staff should pay attention to the anxiety and depression status of primary caregivers of stroke patients and enhance social support levels to reduce the incidence of burnout by alleviating anxiety and depression.

Objective To evaluate the modeling characteristics and predictive performance of models for predicting post-stroke neurological deterioration(ND)published in existing literatures.Methods Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)guidance for scoping reviews,a comprehensive search was conducted in PubMed,CINAHL,Cochrane Library,Embase,Web of Science,Scopus,CNKI,Wanfang Data,and VIP databases from inception to December 15,2024.The search strategy combined Medical Subject Headings(MeSH)and free-text terms,with key words including"Stroke""Ischemic Stroke""Neurological Deterioration""Nomograms""Risk Prediction""Predictive Models""卒中""脑梗死""脑出血""神经功能恶化"and"预测模型".Base on the data extraction checklist and critical appraisal,data extraction covered three domains:(1)basic characteristics,including author,publication year,country,study design(retrospective,prospective,registry-based),sample source(single-center,multicenter),stroke subtypes(acute ischemic stroke[AIS]-conservative therapy,AIS-intravenous thrombolysis[IVT],AIS-endovascular therapy[EVT],intracerebral hemorrhage[ICH]),ND time windows(acute[≤72 h],subacute[≤ 7 d],long-term[≤90 d]),and outcome types(single/composite endpoints);(2)model evaluation metrics,including missing data handling(complete-case analysis,multiple imputation),model development methodologies(multivariate Logistic regression,least absolute shrinkage and selection operator regression,machine learning),presentation formats(nomograms,web calculators,risk prediction tool),discrimination(area under the curve,C-index),calibration(Hosmer-Lemeshow test,calibration curve and slope),clinical utility(decision curve analysis[DCA],global metrics Brier score,R2,AIC),sample size(training set,internal validation set,external validation set),sample size requirements(events per variable[EPV]≥10 to mitigate overfitting),and validation(internal/external);(3)predictor features,including selection strategies(prior knowledge-driven,univariate analysis),quantity,and attributes(demographics,medical history,physical examination,treatment intervention information,imaging/laboratory indicators).Predictive models that meet exclusion criteria from prior literature were analyzed by their discrimination,calibration,clinical utility and global metrics.Forest plots were utilized to visualize discrimination(evaluated via difference in area under the curve)of the extracted models.The prediction model risk of bias assessment tool(PROBAST)was applied to assess bias risk and clinical applicability.Occurrence frequencies of the post-stroke neurological deterioration predictors were ranked and the top 6 high-frequency predictors were extracted.Results(1)Among 3 728 screened studies,25 were included based on the inclusion and exclusion criteria.(2)Basic characteristics:retrospective(72％[18/25])and single-center(64％[16/25])designs dominated.With most models targeted on AIS(92％[23/25]),and the rest(8％[2/25])on ICH.ND was primarily defined by neurological scale changes(60％[15/25];e.g.,National Institutes of Health stroke scale[NIHSS]score increase or Glasgow coma scale[GCS]score decrease),with time windows categorized as acute(36％[9/25]),subacute(48％[12/25]),or long-term(16％[4/25]).(3)Model evaluation:multivariate Logistic regression(96％[24/25])and nomograms(88％[22/25])were predominant.Only 24％(6/25)explicitly addressed missing data handling methods,and 52％(13/25)with EPV≥10.The median area under the curve was 0.865(range:0.650-0.981).44％(11/25)of the studies reported calibration curves,and 4％(1/25)reported calibration slopes.All studies utilized DCA to validate their clinical applicability,84％(21/25)of the studies conducted internal validation,while only 32％(8/25)conducted external validation.PROBAST evaluation revealed low overall bias risk in 8％(2/25;no error across participant,predictor,outcome,or analysis domains)and low clinical applicability risk in 44％(11/25;alignment with target populations,accessible predictors,and clinically relevant outcomes)of the studies.(4)Predictors:64％(16/25)of the predictor were screened predominantly through the prior knowledge-driven based strategy.The top 6 high-frequency predictors are NIHSS score(64％[16/25]),age(36％[9/25]),blood glucose/diabetes(36％[9/25]),blood pressure/hypertension(32％[8/25]),the Alberta stroke program early CT score(20％[5/25]),and neutrophil-to-lymphocyte ratio(20％[5/25]).AIS-ND predictors emphasized readily available metrics,such as NIHSS(65％[15/23]),age(35％[8/23]),while ICH-ND primarily relied on imaging markers(e.g.,baseline hematoma volume[2/2],location[1/2]).Conclusion Current post-stroke ND predictive models demonstrate satisfactory performance on discrimination and multimodal integration,but their practical application are hindered by insufficient calibration quantification,high bias risk,and limited clinical translatability.

To characterize the genomes of different emm-type group A Streptococcus (GAS), their virulence genes and drug resistance profiles in Tianjin City from 2011 to 2024. After PCR, a total of 42 strains with different years and emm types were selected for whole genome sequencing and multi-locus sequence typing (MLST), and the core genomes were used to generate a phylogenetic tree, after which the virulence genes and resistance genes were identified and analyzed, followed by the drug susceptibility test. In this study, the GAS strains were dominated by emm1 (50.0%) and emm12 (40.4%), and the MLST phenotypes were categorized into six types: ST36 (40.4%), ST1274 (26.1%), ST28 (23.8%), ST921 (4.7%), ST46 (2.3%), and ST403 (2.3%). There was a high consistency between their emm-types and ST types. A total of 68 virulence genes were detected in the genomes of 42 GAS strains, involving functional genes encoding exotoxin, bacterial adhesion, extracellular enzymes, etc. The virulence genes they carried were significantly different between emm1-type and emm12-type strains, such as speA. At the same time, the carrying rates of some virulence genes in the same emm-type strains changed with time, such as hyl. The resistance genes were basically the same among different emm-type strains except for the vanSE gene detected in all emm12 strains. The results of drug sensitivity showed that the GAS strains isolated in Tianjin City from 2011 to 2024 were sensitive to penicillin, cefazolin, chloramphenicol, vancomycin, and levofloxacin, while the resistance rates to erythromycin, azithromycin, clarithromycin, and clindamycin ranged from 88.5% to 100.0%, and there was a certain degree of consistency between the resistance phenotypes and the detected resistance genes. Overall, the main emm types and evolutionary features of GAS in Tianjin City from 2011 to 2024 were consistent with the dominant types in China, and the carrying rate of virulence genes and drug resistance genes differed significantly among different emm-type strains, and there were continuous evolution and variation in the prevalence of virulence genes in GAS.

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

Objective To investigate the characteristics of cognitive inhibition in children with hearing impairment and the impact of different types of materials on their cognitive inhibition.Methods From June,2024 to January,2025,21 children with hearing impairment from Liaocheng Special Education School and 20 typically developing children from Guotun Town Central Primary School in Yanggu County,Liao-cheng were randomly selected.A directed forgetting task was used in a mixed experimental design.The experi-mental procedure was presented using Eprime 3.0,and recall performance was recorded through paper-and-pen-cil tests.Results Three children with hearing impairment and two typically developing children were dropped down.The children with hearing impairment scored significantly lower on recall tasks than the typically developing children(F=13.545,P<0.001).In the typically developing children,recall performance under the memory condition was sig-nificantly lower than under the forgetting condition(P<0.001).In the children with hearing impairment,there was no significant difference in recall performance between the memory condition and the forgetting condition(P>0.05).Regardless of whether the materials were letters or figures,all the children showed significantly high-er recall scores under the forgetting condition compared to the memory condition(P<0.01).Conclusion Children with hearing impairment exhibit weaker cognitive inhibition compared to typically developing chil-dren.The type of materials doesn't impact individuals'cognitive inhibition performance.