ObjectiveHepatocellular carcinoma (HCC) represents 90% of all primary liver cancers. The main risk factors associated with HCC include viral hepatitis (B and/or C), alcohol abuse, and metabolic dysfunction-associated steatotic liver disease (MASLD), which progressively advance to liver fibrosis, cirrhosis, and ultimately evolve into HCC. Surgical resection represents the most effective treatment for HCC, while recent advances in immunotherapy, including immune checkpoint inhibitors and adoptive cell therapies, have provided improved treatment prospects for patients with unresectable HCC. However, the complex metabolic heterogeneity of HCC limits the therapeutic efficacy. Metabolic intermediates acyl-CoA not only provide energy and substrates for numerous biochemical reactions but also serve as donors for protein lysine acylation, a major class of post-translational modification (PTM). Therefore, a deeper understanding of the molecular mechanisms underlying protein lysine acylation and hepatocarcinogenesis is urgently needed. MethodsThe levels of protein lysine acylation and silence information regulator 5 (SIRT5) expression levels in clinical HCC samples were analyzed by Western blot. Quantitative malonylome and succinylome of HCC samples were analyzed by antibody-based affinity enrichment coupled with tandem mass spectrometry. The proliferation of HCC cells was analyzed with Cell Counting Kit-8 (CCK-8) assays, the apoptosis was quantified by Annexin V-FITC/propidium iodide (PI) staining coupled with flow cytometry, and the ability of cells to migrate was assayed by Transwell assays. The enzymatic activity of glutathione S-transferase Mu 1 (GSTM1) was quantified. Transgenic mice with hepatic overexpression of SIRT5 were constructed using CRISPR-Cas9, and primary hepatocarcinogenesis was induced by administration of diethylnitrosamine. ResultsWestern blot analysis indicated that the expression level of SIRT5 was elevated in clinical samples from HCC patients, and the levels of lysine malonylation, glutarylation, and succinylation were significantly reduced in HCC tissues. Knockout of SIRT5 in MHCC-97H and MHCC-97L hepatoma cells suppressed cell proliferation, and increased the percentage of apoptotic cells significantly. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the differentially malonylome and succinylome of HCC samples revealed significant enrichment in two major classes of biological processes: core energy metabolism (e.g., glycolysis/gluconeogenesis, tricarboxylic acid metabolic process, fatty acid beta oxidation) and detoxification and oxidative stress response (e.g., response to toxic substance, chemical carcinogenesis, reactive oxygen species (ROS)). SIRT5 removes malonylation from lysine residues in GSTM1 and restores its detoxification activity, which is crucial for the survival of hepatocytes under stressed conditions. More importantly, in vivo experiment indicated that hepatic-specific overexpression of SIRT5 in mice accelerated diethylnitrosamine-induced liver fibrosis and hepatocarcinogenesis, indicating the critical role of SIRT5 in HCC progression. ConclusionThis study highlights the previously unrecognized SIRT5-GSTM1 axis as a key regulator in hepatocarcinogenesis, and suggests a potential target for the treatment of patients with HCC.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To compare the effect of small optical zone orthokeratology lenses(OK lenses)and repeated low-level red-light(RLRL)therapy in controlling myopia progression for adolescents,and the therapeutic effectiveness of RLRL is evaluated.Methods A retrospective analysis was conducted on the clinical data of 80 adolescent myopic patients in the First Affiliated Hospital of Army Medical University.The patients were divided into the RLRL group and the OK lenses group according to different intervention methods,with 40 cases in each group.Patients in the RLRL group received RLRL therapy combined with single-vision spectacles,and patients in the OK lenses group were treated with OK lenses.The changes of spherical equivalent(SE),axial length and subfoveal choroidal thickness(SFCT)1,3,6,and 12 months after treatment compared with the baseline,and color vision of patients were assessed.Based on the mean baseline axial length of the RLRL group,the patients in this group were subdivided into the short axial group and the long axial group,and the changes of the axial length and SFCT were further analyzed.Results The diopter 1,3,6,and 12 months after treatment in the RLRL group were not significantly different from the baseline(P>0.05).Axial lengths of patients in the RLRL group progressively shortened after treatment and returned close to the baseline 12 months after treatment.In contrast,axial lengths of patients in the OK lens continued to grow within 12 months after treatment;the axial lengths at each time point after treatment of patients in the two groups were significantly different from the baseline(P<0.05).The changes of axial length of patients in the RLRL group at each time point after treatment were significantly smaller than those in the OK lenses group(P<0.05).The SFCT changes of patients in the RLRL group at each time point after treatment were all greater than those in the OK lenses group(P<0.05).The SFCT at each time point after treatment in the RLRL group were significantly different from the baseline(P<0.05),whereas the SFCT at each time point after treatment in the OK lenses group were not significantly different from the baseline(P>0.05).The changes of axial length at each time point after treatment of patients in the long axial group were all greater than those in the short axial group(P<0.05);the SFCT changes 6 months after treatment of patients in the long axial group was greater than that in the short axial group(P<0.05);the SFCT at each time point after treatment of patients in the two groups were signifi-cantly different from the baseline(P<0.05).Color vision tests revealed no abnormities after treatment in the RLRL group and the OK lenses group.Conclusion RLRL therapy is effective in controlling myopia progression and demonstrates superior axial length control compared to orthokeratology lenses.

Objective To compare the effect of small optical zone orthokeratology lenses(OK lenses)and repeated low-level red-light(RLRL)therapy in controlling myopia progression for adolescents,and the therapeutic effectiveness of RLRL is evaluated.Methods A retrospective analysis was conducted on the clinical data of 80 adolescent myopic patients in the First Affiliated Hospital of Army Medical University.The patients were divided into the RLRL group and the OK lenses group according to different intervention methods,with 40 cases in each group.Patients in the RLRL group received RLRL therapy combined with single-vision spectacles,and patients in the OK lenses group were treated with OK lenses.The changes of spherical equivalent(SE),axial length and subfoveal choroidal thickness(SFCT)1,3,6,and 12 months after treatment compared with the baseline,and color vision of patients were assessed.Based on the mean baseline axial length of the RLRL group,the patients in this group were subdivided into the short axial group and the long axial group,and the changes of the axial length and SFCT were further analyzed.Results The diopter 1,3,6,and 12 months after treatment in the RLRL group were not significantly different from the baseline(P>0.05).Axial lengths of patients in the RLRL group progressively shortened after treatment and returned close to the baseline 12 months after treatment.In contrast,axial lengths of patients in the OK lens continued to grow within 12 months after treatment;the axial lengths at each time point after treatment of patients in the two groups were significantly different from the baseline(P<0.05).The changes of axial length of patients in the RLRL group at each time point after treatment were significantly smaller than those in the OK lenses group(P<0.05).The SFCT changes of patients in the RLRL group at each time point after treatment were all greater than those in the OK lenses group(P<0.05).The SFCT at each time point after treatment in the RLRL group were significantly different from the baseline(P<0.05),whereas the SFCT at each time point after treatment in the OK lenses group were not significantly different from the baseline(P>0.05).The changes of axial length at each time point after treatment of patients in the long axial group were all greater than those in the short axial group(P<0.05);the SFCT changes 6 months after treatment of patients in the long axial group was greater than that in the short axial group(P<0.05);the SFCT at each time point after treatment of patients in the two groups were signifi-cantly different from the baseline(P<0.05).Color vision tests revealed no abnormities after treatment in the RLRL group and the OK lenses group.Conclusion RLRL therapy is effective in controlling myopia progression and demonstrates superior axial length control compared to orthokeratology lenses.

Objective:To identify the risk factors influencing the prognosis of patients with advanced breast cancer through LASSO-Logistic regression analysis and construct a nomogram model to evaluate their prognostic risk.Methods:A total of 178 patients with advanced breast cancer who visited the Department of Thyroid and Breast Surgery of Chengyang District People’s Hospital of Qingdao City from Jan. 2015 to Jan. 2023 were selected as the research subjects. According to the follow-up results, the patients were divided into a good-prognosis group and a poor-prognosis group. Clinical data of the patients were collected. LASSO-Logistic regression analysis was used to identify the risk factors affecting the prognosis of patients with advanced breast cancer. A nomogram model was constructed based on the analysis results. The predictive efficacy of the model for the prognostic risk of patients with advanced breast cancer was evaluated using the receiver operating characteristic (ROC) curve and Hosmer-Lemeshow (H-L) test.Results:During the follow-up, 5 patients were lost to follow-up. Among the final 173 patients included, 60 had poor prognoses (accounting for 34.68%), and 113 had good prognoses (accounting for 65.32%). There were significant differences between the poor prognosis group and the good prognosis group in terms of the number of lymph node metastases ( χ 2=18.12), the number of organ metastases ( χ 2=14.28), the difference in ADC before and after treatment ( t=17.35), the difference in SER before and after treatment ( t=9.57), the enhancement of the echo behind the breast after treatment ( χ 2=13.00), and the proportion of increased calcification ( χ 2=8.06) (both P < 0.05). The clinical data with significant differences in the univariate analysis were included in the LASSO regression analysis. Six factors were finally selected: number of lymph node metastases > 5, number of organ metastases > 1, difference in ADC values before and after treatment, difference in SER values before and after treatment, enhanced echo behind the breast, and increased calcification. These six factors selected by LASSO regression were included in the Logistic regression analysis. The results showed that number of organ metastases > 1 ( OR=2.208, 95% CI: 1.153-3.263), small difference in ADC values before and after treatment ( OR=0.448, 95% CI: 0.287-0.608), enhanced echo behind the breast ( OR=2.474, 95% CI: 1.063-3.886), and increased calcification ( OR=3.762, 95% CI: 1.831-5.693) were independent risk factors for poor prognosis in patients with advanced breast cancer (both P<0.05). A nomogram model was constructed based on the analysis results. The ROC curve showed that the area under the curve (AUC) of the model was 0.778. The H-L test results showed that the calibration curve fit well with the ideal curve, with χ 2 = 0.69 and P = 0.273. Conclusion:The nomogram model constructed based on LASSO-Logistic regression analysis has good predictive efficacy for the prognosis of patients with advanced breast cancer.

This research aims to construct a stable epithelial cell senescence model for screening and e-valuation of senolytics.We explored the optimal conditions for doxorubicin-induced senescence of non-transformed epithelial cells MCF 10A,including the optimal induction concentration,the optimal inter-vention time,and the optimal senescence duration,and confirmed the feasibility of MCF 10A as an epi-thelial senescence model by multiple ways.The optimal condition for Doxorubicin-induced senescence of MCF 10A cells was treatment with 0.6 μmol/L Doxorubicin for 16 h to achieve the best senescence state on the 8th day.Under the optimal induction conditions,the positive rate of senescence-associated β-gal-actosidase(SA-β-gal)staining in the treated group reached 97％.At the same time,biochemical results of detecting the expression of mRNA,proteins,and immunofluorescence demonstrated that the expression levels of senescence-associated secretory phenotype(SASP),p16,p21 and p53 in the treated group were significantly higher than those in the control cells,and Lamin B1 was significantly decreased(P＜0.001),which were consistent with the specific characteristics of senescence.In summary,an epithelial senescence model was successfully induced in MCF 10A cells by Doxorubicin in this study,which will promote the screening of senolytics for senescent epithelial cells.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:To identify the risk factors influencing the prognosis of patients with advanced breast cancer through LASSO-Logistic regression analysis and construct a nomogram model to evaluate their prognostic risk.Methods:A total of 178 patients with advanced breast cancer who visited the Department of Thyroid and Breast Surgery of Chengyang District People’s Hospital of Qingdao City from Jan. 2015 to Jan. 2023 were selected as the research subjects. According to the follow-up results, the patients were divided into a good-prognosis group and a poor-prognosis group. Clinical data of the patients were collected. LASSO-Logistic regression analysis was used to identify the risk factors affecting the prognosis of patients with advanced breast cancer. A nomogram model was constructed based on the analysis results. The predictive efficacy of the model for the prognostic risk of patients with advanced breast cancer was evaluated using the receiver operating characteristic (ROC) curve and Hosmer-Lemeshow (H-L) test.Results:During the follow-up, 5 patients were lost to follow-up. Among the final 173 patients included, 60 had poor prognoses (accounting for 34.68%), and 113 had good prognoses (accounting for 65.32%). There were significant differences between the poor prognosis group and the good prognosis group in terms of the number of lymph node metastases ( χ 2=18.12), the number of organ metastases ( χ 2=14.28), the difference in ADC before and after treatment ( t=17.35), the difference in SER before and after treatment ( t=9.57), the enhancement of the echo behind the breast after treatment ( χ 2=13.00), and the proportion of increased calcification ( χ 2=8.06) (both P < 0.05). The clinical data with significant differences in the univariate analysis were included in the LASSO regression analysis. Six factors were finally selected: number of lymph node metastases > 5, number of organ metastases > 1, difference in ADC values before and after treatment, difference in SER values before and after treatment, enhanced echo behind the breast, and increased calcification. These six factors selected by LASSO regression were included in the Logistic regression analysis. The results showed that number of organ metastases > 1 ( OR=2.208, 95% CI: 1.153-3.263), small difference in ADC values before and after treatment ( OR=0.448, 95% CI: 0.287-0.608), enhanced echo behind the breast ( OR=2.474, 95% CI: 1.063-3.886), and increased calcification ( OR=3.762, 95% CI: 1.831-5.693) were independent risk factors for poor prognosis in patients with advanced breast cancer (both P<0.05). A nomogram model was constructed based on the analysis results. The ROC curve showed that the area under the curve (AUC) of the model was 0.778. The H-L test results showed that the calibration curve fit well with the ideal curve, with χ 2 = 0.69 and P = 0.273. Conclusion:The nomogram model constructed based on LASSO-Logistic regression analysis has good predictive efficacy for the prognosis of patients with advanced breast cancer.

Objective The purpose of writing the"expert consensus on humanistic care for patients in hospice care"(hereinafter referred to as the"consensus")aims to standardize the practice of humanistic care in the field of hospice care,ensuring that humanistic care is integrated throughout the entire service process for hospice care patients and their families.Methods A systematic search was conducted in domestic and foreign databases for literature related to hospice care and humanistic care,including guidelines,expert consensuses,systematic reviews or Meta-analyses,and evidence summaries.High-quality evidence was evaluated,extracted,and summarized to form the initial draft of the"consensus".From June to October 2024,20 experts from the fields of hospice care,nursing humanities,and evidence-based nursing were invited to participate in 1 round of expert consultation.Among them,13 experts were selected for 2 rounds of expert demonstration meetings.After collating and analyzing the experts' opinions,the initial draft was revised and refined,ultimately resulting in the final version of the"consensus".Results The effective response rate of the consultation questionnaire was 100％,with expert authority coefficient of 0.880,judgment coefficient of 0.935,and familiarity level of 0.825.The Kendall harmony coefficient of the expert consultation was 0.134(P＜0.05).The"consensus"consisted of 13 aspects,including the targets and objectives,principles,institutional guarantees,environmental requirements,etc.Conclusion This"consensus"possesses strong scientific rigor and practicality,which can provide guidance and references for the practice of humanistic care in the field of hospice care,promoting the standardization and humanization of hospice care services.