Objective To systematically evaluate the risk prediction models for acute kidney injury in patients with acute coronary syndrome (ACS) based on machine learning, providing a reference for clinical selection of appropriate risk assessment tools. Methods Clinical studies using machine learning methods for predicting the risk of acute kidney injury in ACS patients were retrieved from PubMed, Cochrane Library, Embase, Web of Science core database, CNKI, Wanfang Database, CBM, and VIP. The retrieval time was from the establishment of the database to May 24, 2025. The quality of the models were evaluated using the prediction model risk of bias assessment tool. Results Nine articles were included, and a total of 58 prediction models were constructed using 20 machine learning methods. The area under the receiver operating characteristic curve ranged from 0.733 to 0.894. The most commonly used predictors were age and creatinine. The overall bias risk of the included studies was relatively high, but the applicability was good.Conclusion Machine learning models can identify the risk of acute kidney injury in ACS patients. All models have good predictive potential, but they are still in the development stage. It is recommended that future studies adopt prospective design with external validation to improve the stability and predictive accuracy of the models.

Objective:To analyze overall survival (OS), influential factors, and causes of death in patients with newly diagnosed non-transplant multiple myeloma (NDMM) at grassroots hospitals.Methods:The clinical data of 56 patients with NDMM admitted to the Department of Hematology, Wuwei People's Hospital from January 2018 to October 2022 were retrospectively analyzed. Using the Kaplan-Meier and Cox regression survival analysis models, univariate and multivariate analyses were performed to evaluate the factors affecting the OS of patients with NDMM.Results:The median OS of patients with NDMM was 27 months. Univariate analysis indicated that whether or not to receive chemotherapy was a risk factor affecting OS. Multivariate analysis revealed that age ( HR: 2.215, 95% CI 1.056-4.648, P < 0.05), renal dysfunction ( HR: 3.482, 95% CI 1.359-8.923, P < 0.05), and whether or not to receive chemotherapy ( HR: 0.83, 95% CI 0.021-0.331, P < 0.001) were all significant risk factors affecting OS (all P < 0.05). Conclusions:The median survival time of patients with NDMM is short. Age, renal dysfunction, and not receiving chemotherapy are unfavorable factors affecting OS. Pulmonary infection, renal failure, and disease progression are the main causes of death in patients with NDMM.

Objective To develop a method for rapidly identifying Clostridioides difficile(C.difficile)and de-termining high-producing toxin strains,conduct clinical evaluation.Methods The loop-mediated isothermal amplifi-cation(LAMP)method was used to identify C.difficile based on the tcdC,tcdA,and tcdB genes.The sensitivi-ty,specificity,and overall consistency of the detection method were evaluated.Results Feces specimens from 499 hospitalized patients suspected of C.difficile-associated diarrhea were detected,with C.difficile detection rate of 12.8％(64/499),out of which the detection rate of toxin-producing C.difficile was 10.8％(54/499).The sensi-tivity,specificity,positive predictive value,and negative predictive value of the detection method for tcdA were 87.2％,98.9％,89.1％,and 98.6％,respectively,and 88.2％,99.6％,90.0％,and 98.73％for tcdB,respec-tively.The total toxin levels of different strains were different,but the average toxin production level of A+B+strains(1.79 μg/mL)was higher than those of A-B+strains(0.72 μg/mL)and A-B-strains(＜0.10 μg/mL).Conclusion The portable high-throughput LAMP detection method can rapidly and efficiently identify C.difficile and determine high-producing toxin strains.

Cancer is the main cause of death,and drug therapy has greatly improved the effectiveness of anti-tumor treatment.However,there are problems such as high adverse reactions and the risk of developing drug resistance after long-term use.There is an urgent need to seek new drug targets.Human antigen R(HuR),as an RNA binding protein,promotes the whole process of tumor occurrence,development and metastasis through post transcriptional regulation of mRNA stability,and HuR is general-ly highly expressed in tumor tissue,making it a new target for an-ti-tumor therapy and a standard for prognosis evaluation.Tradi-tional Chinese medicine formulas and their various chemical components can inhibit tumor proliferation,induce tumor cell ap-optosis,inhibit angiogenesis,suppress immune escape,and re-verse tumor drug resistance by regulating HuR activity.This re-view summarizes the importance of HuR in regulation of tumor progression,as well as analyzes the mechanisms of the antitumor effects through active ingredients of Chinese medicine with the regulation of HuR.It is expected to provide new ideas for tumor therapy and guidance for the development of HuR-targeted anti-tumor drugs.

Aim To investigate the effect of long-chain non-coding RNA(lncRNA)GS1-124K5.4 targeting regulation of PRDX6 on proliferation,migration and in-vasion of lung squamous carcinoma(LUSC)cells and the underlying mechanism.Methods The expression level of lncRNA GS1-124K5.4 in lung cancer tissues and adjacent tissues of 60 patients with LUSC were de-termined by fluorescence in situ hybridization.The ex-pression level of lncRNA GS1-124K5.4 in human nor-mal lung cells and LUSC cells were determined by qRT-PCR.Two kinds of LUSC cells(NCI-H 1703,SK-MES-1)with highest expression level of lncRNA GS1-124K5.4 were selected for subsequent experi-ments.The distribution of lncRNA GS1-124K5.4 in cells was studied by fluorescence in situ hybridization and prokaryotic separation.The effect of knockdown of lncRNA GS1-124K5.4 on proliferation of NCI-H1703 and SK-MES-1 cells was studied by CCK-8 experiment and cell clone formation experiment;the effect of knockdown of lncRNA GS1-124K5.4 on migration of NCI-H1703 and SK-MES-1 cells was studied by cell scratch experiment and Transwell cell migration experi-ment;and the effect of knockdown of lncRNA GS1-124K5.4 on invasion of NCI-H1703 and SK-MES-1 cells was studied by Transwell invasion experiment.The protein to be bound by lncRNA GS1-124K5.4 was detected by RNA pull-down combined with mass spec-trometry and immune-precipitation.The effect of knockdown of lncRNA GS1-124K5.4 targeting PRDX6 on proliferation,migration and invasion of NCI-H1703 and SK-MES-1 cells was studied.Results(1)The fluorescence intensity of lncRNA GS1-124K5.4 in lung squamous cell carcinoma increased compared with that in adjacent tissues(P＜0.05),and the expression of lncRNA GS1-124K5.4 was related with lymph node metastasis and clinical stage(P＜0.05).(2)The ex-pression level of lncRNA GS1-124K5.4 in NCI-H1703,NCI-H520 and SK-MES-1 cells significantly increased(P＜0.05).(3)The result of fluorescence in situ hybridization experiment and nucleoplasm sepa-ration experiment showed that lncRNA GS1-124K5.4 was mainly distributed in cell nucleus.(4)The prolif-eration,migration and invasion ability of NCI-H1703 and SK-MES-1 cells with knockdown of lncRNA GS1-124K5.4 significantly decreased(P＜0.05).(5)PRDX6 protein to be bound to LncRNA GS1-124K5.4 was determined by RNA pull-down combined with mass spectrometry and immunoprecipitation.(6)The prolif-eration,migration and invasion ability of NCI-H1703 and SK-MES-1 cells with overexpression of lncRNA GS1-124K5.4 significantly increased(P＜0.05);the proliferation,migration and invasion ability of NCI-H1703 and SK-MES-1 cells with knockdown of PRDX6 significantly decreased(P＜0.05);the proliferation,migration and invasion ability of NCI-H1703 and SK-MES-1 cells with overexpression of lncRNAGS1-124K5.4 and knockdown of PRDX6 showed no signifi-cant change(P＞0.05).Conclusions LncRNA GS1-124K5.4 is highly expressed in lung squamous cell carcinoma,and it may promote the proliferation,migration and invasion of lung squamous carcinoma cells by targeting the expression of PRDX6 protein.

Objective:To explore the moderating and mediating roles of psychological resilience in the relationship between job satisfaction and depressive symptoms among petrochemical workers.Methods:In April 2022, a cluster sampling method was used to conduct a questionnaire survey among 1087 in-service employees of a petrochemical enterprise in Henan Province. A total of 861 questionnaires were recovered, including 857 valid ones, with an effective rate of 99.54%. Data on job satisfaction, psychological resilience, and depressive symptoms were collected using the 10-item Connor-Davidson Resilience Scale (CD-RISC-10), Job Satisfaction Questionnaire, and Patient Health Questionnaire-9 (PHQ-9). Spearman rank correlation analysis was applied to analyze the relationships among the scores of job satisfaction, psychological resilience, and depressive symptoms. Hierarchical linear regression analysis was used to test the moderating effect of psychological resilience, and the Bootstrap method was employed to verify the mediating effect of psychological resilience.Results:The scores of job satisfaction, psychological resilience, and depressive symptoms among petrochemical workers were 36.00 (31.00, 36.00) points, 36.00 (30.00, 41.00) points, and 7.00 (3.00, 9.00) points. The detection rate of depressive symptoms was 65.7% (563/857). Results of Spearman rank correlation analysis showed that job satisfaction of petrochemical workers was positively correlated with psychological resilience ( rs=0.270, P<0.01) and negatively correlated with depressive symptoms ( rs=-0.386, P<0.01), psychological resilience was negatively correlated with depressive symptoms ( rs=-0.515, P<0.01). Results of hierarchical linear regression analysis indicated that psychological resilience had no moderating effect on the relationship between job satisfaction and depressive symptoms of petrochemical workers ( b=0.001, P>0.05). Results of the mediating effect test showed that psychological resilience played a partial mediating effect in the relationship between job satisfaction and depressive symptoms ( P<0.01), with a mediating effect value of -0.071 (95% CI: -0.125, -0.045), accounting for 20.16% of the total effect. Conclusion:Psychological resilience exerts a partial mediating effect rather than a moderating effect in the relationship between job satisfaction and depressive symptoms among petrochemical workers.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.

Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)％.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0％vs 29.5％).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7％vs 7.8％,0.8％vs 0.1％,both P＜0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)％with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9％and 1.8％,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1％).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10％.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P＜0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.

BACKGROUND: Low serum albumin levels are established predictors of adverse outcomes in various cardiovascular conditions. However, the role of serum albumin in mortality among elderly patients with chronic aortic regurgitation (AR) has not been thoroughly investigated. This study aims to assess the relationship between serum albumin levels and mortality in this specific patient population. METHODS: Our analysis included 873 elderly AR patients from the China Valvular Heart Disease study, with baseline serum albumin measured at enrollment. Mortality outcomes were monitored for two years post-enrollment, employing a Cox proportional hazards model with a two-piecewise Cox proportional hazards framework to investigate the nonlinear relationship between serum albumin levels and all-cause mortality. RESULTS: During the 2-year follow-up period, we observed 63 all-cause deaths. The association between serum albumin levels and all-cause mortality displayed an approximating L-shaped curve, indicating a mortality threshold at 35 g/L. For serum albumin levels below 35 g/L, each 1 g/L decrease was associated with a 25% higher risk of all-cause mortality (HR = 1.25, 95% CI: 1.07-1.45). In contrast, no significant change in mortality risk was observed when serum albumin levels were greater than or equal to 35 g/L. Moreover, when serum albumin is classified as hypoproteinemia (serum albumin < 35 g/L), the higher risks of all-cause death were observed in hypoproteinemic patients (HR = 2.93, 95% CI: 1.50-5.74). More importantly, the association between serum albumin and death was significantly stronger in overweight/obese patients (≥ 24 kg/m² vs. < 24 kg/m², P _interaction = 0.006). CONCLUSIONS In elderly patients with AR, serum albumin levels showed an approximating L-shaped relationship with all-cause death, with thresholds of 35 g/L. Body mass index was significant effect modifiers of the association. These results suggest that serum albumin, as an inexpensive and readily available biochemical marker, may further improve the stratified risk of mortality in older AR patients.