Liver transplantation (LT) has become a standard treatment for end-stage liver diseases, and graft injury is intricately associated with poor prognosis. Granzyme B (GZMB) plays a vital role in natural killer (NK) cell biology, but whether NK-derived GZMB affects graft injury remains elusive. Through the analysis of single-cell RNA-sequencing data obtained from human LT grafts and the isolation of lymphocytes from mouse livers following ischemia-reperfusion injury (IRI), we demonstrated that 2NK cells with high expression of GZMB are enriched in patients and mice. Both systemically and liver-targeted depletion of NK cells led to a notable reduction in GZMB⁺ cell infiltration, subsequently resulting in diminished graft injury. Notably, the reconstitution of Il2rg ^-/- Rag2 ^-/- mice with purified Gzmb-KO NK cells demonstrated superior outcomes compared to those with wild-type NK cells. Crucially, global knockout of GZMB and pharmacological inhibition exhibited remarkable improvements in liver function in both mouse IRI and rat LT models. Moreover, a phosphorylated derivative of FDA-approved vidarabine was identified as an effective inhibitor of mouse GZMB activity by molecular dynamics, which could provide a potential avenue for therapeutic intervention. Therefore, targeting NK cell-derived GZMB during the LT process suggests potential therapeutic strategies to improve post-transplant outcomes.

Objective: To investigate the intentions of mothers of ageappropriate girls in Qingdao to vaccinate their daughters against human papillomavirus (HPV), so as to provide theoretical guidance for targeted health education in the future. Methods: A multistage random sampling method was adopted to conduct a crosssectional study among 2 244 mothers of girls aged 12-14 years in Qingdao from March to December 2023. The Mann-Whitney U test was used for group comparisons, and Logistic regression was performed to analyze the factors that influenced maternal intention to vaccinate their ageappropriate daughters against HPV. Results: Among the surveyed mothers, 89.22% (n=2 002) intended to vaccinate their daughters against HPV, and 68.58% (n=1 539) had fully vaccinated or had plans to complete it for themselves. The knowledge score of mothers intended to vaccinate their daughters was 10 (8, 11). The multivariate Logistic regression analysis showed that mothers aged >45 years (OR=0.19), those with an annual family income of 60 000-<150 000 yuan (OR=0.65), 150 000-<300 000 yuan (OR=0.58), 300 000-500 000 yuan (OR=0.22), and those with higher knowledge scores (OR=0.90) were more likely to vaccinate their daughters (P<0.05). Mothers with a junior college or undergraduate degree (OR=1.66), those who never or occasionally screened for HPV (OR=1.58), those who were intended to be vaccinated, not planning to complete the fullcourse vaccination, or overaged and unvaccinated (OR=7.13), those who were not concerned about their daughters HPV infection (OR=2.54), and those whose daughters were not in adolescence (OR=1.93) were less intended to vaccinate their daughters (P<0.05). The primary reasons for vaccine hesitancy were vaccine safety concerns (65.06%), followed by the belief of mothers that "the children is to young, and can be vaccinated when they are older" (13.25%). Conclusions Mothers of eligible girls in Qingdao have relatively higher intentions to vaccinate their daughters against HPV, and willingness is influenced by factors such as the mothers vaccination status, knowledge level, and daughters development stage. It is recommended to strengthen targeted health education, improve the cognitive level and acceptance of mother, and increase the vaccination rate of HPV vaccines.

Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.

Objective To evaluate an ultrasound-based deep learning radiomics nomogram(DLR_Nomo-gram)for non-invasively differentiating between type Ⅰ and type Ⅱ epithelial ovarian cancer(EOC)before surgery.Methods In this study,a cohort of 195 patients diagnosed with EOC was analyzed.Participants were randomly divided into a training set and a testing set at an 8∶2 ratio.Following data preprocessing,region of interest(ROI)delineation,feature extraction and selection,as well as the clipping and extraction of the maximum section sonogram for each sample,three initial models were developed:the radiomics signature(Rad_Sig),the deep transfer learning signature(DTL_Sig),and the clinical signature(Clinic_Sig).Subsequently,an integrated model—referred to as the DLR_Nomogram—was constructed by combining Rad_Sig,DTL_Sig,and Clinic_Sig,and was presented in the form of a nomogram.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve and the corresponding area under the curve(AUC).Results In the testing set,the DLR_Nomogram demonstrated superior predictive performance(AUC:0.951,95%CI:0.876～1.000)compared to Rad_Sig(AUC:0.709,95%CI:0.539～0.880),DTL_Sig(AUC:0.842,95%CI:0.712～0.972),and Clinic_Sig(AUC:0.916,95%CI:0.827～1.000).The Hosmer-Lemeshow goodness-of-fit test for the DLR_Nomogram resulted in a p-value exceeding 0.05,indicating adequate model calibration.Moreover,decision curve analysis revealed that the DLR_No-mogram offers a higher net clinical benefit across a defined range of threshold probabilities.Conclusions The ultrasound-based DLR_Nomogram exhibits a robust ability to differentiate between Type Ⅰ and Type Ⅱ EOC,and may serve as a valuable clinical tool for guiding individualized preoperative diagnostic and therapeutic decision-making.

Objective To evaluate an ultrasound-based deep learning radiomics nomogram(DLR_Nomo-gram)for non-invasively differentiating between type Ⅰ and type Ⅱ epithelial ovarian cancer(EOC)before surgery.Methods In this study,a cohort of 195 patients diagnosed with EOC was analyzed.Participants were randomly divided into a training set and a testing set at an 8∶2 ratio.Following data preprocessing,region of interest(ROI)delineation,feature extraction and selection,as well as the clipping and extraction of the maximum section sonogram for each sample,three initial models were developed:the radiomics signature(Rad_Sig),the deep transfer learning signature(DTL_Sig),and the clinical signature(Clinic_Sig).Subsequently,an integrated model—referred to as the DLR_Nomogram—was constructed by combining Rad_Sig,DTL_Sig,and Clinic_Sig,and was presented in the form of a nomogram.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve and the corresponding area under the curve(AUC).Results In the testing set,the DLR_Nomogram demonstrated superior predictive performance(AUC:0.951,95%CI:0.876～1.000)compared to Rad_Sig(AUC:0.709,95%CI:0.539～0.880),DTL_Sig(AUC:0.842,95%CI:0.712～0.972),and Clinic_Sig(AUC:0.916,95%CI:0.827～1.000).The Hosmer-Lemeshow goodness-of-fit test for the DLR_Nomogram resulted in a p-value exceeding 0.05,indicating adequate model calibration.Moreover,decision curve analysis revealed that the DLR_No-mogram offers a higher net clinical benefit across a defined range of threshold probabilities.Conclusions The ultrasound-based DLR_Nomogram exhibits a robust ability to differentiate between Type Ⅰ and Type Ⅱ EOC,and may serve as a valuable clinical tool for guiding individualized preoperative diagnostic and therapeutic decision-making.

Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.

Objective:To systematically review the predictive model for de novo stress urinary incontinence (de novo SUI) after pelvic organ prolapse (POP) surgery, with the aim of providing reference for preventing the occurrence of de novo SUI.Methods:Literature on the prediction model of de novo SUI after POP surgery was electronically retrieved in PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, WanFang, and VIP. The search period was from the establishment of the database to December 31, 2023, and the language was limited to Chinese and English. Two researchers independently screened literature, extracted data, and used the prediction model risk of bias assessment tool (PROBAST) to evaluate the quality of the models.Results:A total of 13 articles were included, including 13 de novo SUI risk prediction models. One literature was a prospective study, one literature was a secondary analysis of data, and the rest were retrospective studies. The area under the receiver operating characteristic curve in nine models ranged from 0.595 to 0.842, and the C-index of three models ranged from 0.710 to 0.738. Five models were not validated or only internally validated after construction. Six models were validated in one external population. The predictive performance of one model was validated in six external populations. The overall applicability of the 13 prediction models was good, but there was a certain risk of bias in all of them. Conclusions:There is a significant difference in the predictive performance of the de novo SUI risk prediction model after POP surgery, and the number is relatively small, indicating that it is still in the development stage. Future research should continuously optimize existing models and conduct external validation, and construct predictive models suitable for postoperative de novo SUI in POP patients in China.

Objective To analyze the prevalence, annual trends, and co-morbidity trends of common chronic diseases among workers in a large automotive industry from 2019 to 2021, and to provide a scientific basis for the health management of workers in the automotive industry. Methods The health examination data of workers in a large automotive industry from 2019-2021 were analyzed. Trends in the prevalence of chronic diseases and co-morbidities were analyzed using Join Point software and trend χ² test. Results The prevalence of metabolic syndrome, hyperuricemia, and fatty liver in the 2019 – 2021 health checkups of workers in this enterprise increased at an average rate of 9.27%, 11.35%, and 3.99% per year, respectively. The prevalence of metabolic syndrome, hyperuricemia, and fatty liver in male workers showed an increasing trend at an average rate of 7.05%, 9.25%, and 2.91% per year, respectively. The prevalence of metabolic syndrome in female workers showed an increasing trend at an average rate of 20.76% per year. The prevalence of metabolic syndrome, hyperuricemia and fatty liver was on the rise in the age groups ≤ 29 years old and 40 – 49 years old. The proportion of metabolic syndrome and its co-morbidity with one or two common chronic diseases showed an increasing trend. Conclusion The prevalence and co-morbidity of common chronic diseases in this enterprise are generally on the rise. The enterprise should focus on health education and preventive care for chronic diseases among workers aged ≤ 29 and 40 – 49 years old and male workers and control the annual increasing trend of metabolic syndrome among female workers and workers in the age group ≤ 29 years.

Objective:To construct a core competency indicator system for prehospital emergency nursing staff in stroke.Methods:A preliminary draft of the core competency indicator system for prehospital emergency nursing staff in stroke was formulated through literature research and group discussions. From January to March 2023, 15 experts were selected, and after two rounds of Delphi expert consultations, the indicators at all levels were modified and improved to form the final version of the indicator system. The degree of expert enthusiasm was expressed as the effective response rate of the questionnaire, the degree of expert authority was expressed as the expert authority coefficient ( Cr), and the degree of expert opinion coordination was expressed as the Kendall harmony coefficient and coefficient of variation. Results:In two rounds of Delphi expert consultation, the effective response rates of the questionnaire were 100.00% and 93.33%, respectively, and the expert authority coefficients were 0.853 and 0.861. After the second round of expert consultation, the coefficient of variation for each item was from 0 to 0.23, and the Kendall's harmony coefficient was 0.185 ( P<0.01). The final constructed indicator system included four primary indicators, 14 secondary items, and 31 tertiary items. Conclusions:The constructed core competency indicator system for prehospital emergency nursing staff in stroke is scientific and reliable, and can provide reference for the training and assessment of prehospital emergency nursing staff.

Objective To evaluate the value of high-energetic virtual monoenergetic imaging(MonoE),bone metal artifact reduction(O-MAR),and their combination based on dual-layer detector spectral computed tomography(DLCT)in removing the artifacts caused by lumbar metal implants.Methods Patients who undergone lumbar implant surgery and performed lumbar examination on DLCT after surgery were prospectively selected.MonoE from 100 to 200 keV with an interval of 20 keV were reconstructed.O-MAR and O-MAR combined with MonoE(O-MAR+MonoE)images were also reconstructed.The differences of objective and subjective image quality among the images were compared.Results There were 45 patients included in the study.With the increasing of keV of MonoE,the attenuation of the tissue with low-and high-density artifact on MonoE and O-MAR+MonoE was increased and decreased,respectively.140 keV MonoE was the best sequence for the artifact reduction and the display of soft tissue.200 keV MonoE and its combination with O-MAR showed the best performance in the display of the interface of metal and bone.However,O-MAR+200 keV MonoE had the lowest noise.Conclusion Compared to O-MAR and O-MAR combined with MonoE,high-energetic MonoE shows a good value in the reduction of metal artifacts caused by the lumbar metal implants.