Objective To analyze the rates of drug resistance of carbapenem-resistant Klebsiella pneumoniae (CRKP) and extended-spectrum β-lactamase-producing Escherichia coli (ESBL-E.coli) in bronchoalveolar lavage fluid (BALF) of critically ill patients with severe pneumonia and artificial airway and risk factors of CRKP. Methods Patients with severe pneumonia and artificial airway treated in the Center of Emergency and Intensive Care Unit, Jinshan Hospital, Fudan University from May 2022 to May 2025 were selected. Klebsiella pneumoniae (K. pneumoniae) and Escherichia coli (E.coli) isolated and cultured from BALF of these patients were analyzed. The drug resistance rates of the two bacteria were compared. The multivariate logistic regression was used to analyze related risk factors for CRKP infection. Results A total of 384 patients were included, and 384 strains were cultured, including 330 strains (85.9%) of K. pneumoniae and 54 strains (14.1%) of E.coli. The infection rate of K. pneumoniae was higher. Compared with E.coli, the drug-resistant gene expression rate of K. pneumoniae was lower (37.3% vs 57.4%, P＜0.01). The resistance rates of CRKP to cefotaxime, cefepime, aztreonam, and imipenem were higher than those of ESBL-E.coli (P＜0.003). Both CRKP and ESBL-E.coli had high sensitivity to polymyxin and tigecycline. Multivariate logistic regression showed duration of mechanical ventilation ≥ 7 days, and combination of ≥ 2 antibiotics for over 7 days were independent risk factors for CRKP infection (P＜0.01). Conclusions For patients with severe pneumonia and artificial airway in ICU, K. pneumoniae is the main bacterial infection. CRKP and ESBL-E.coli in BALF exhibit different degrees of drug resistance to various antibacterial agents, both have the characteristic of multidrug resistance, and are sensitive to polymyxin and tigecycline. Prevention and control of risk factors related to CRKP should be formulated particularly.

Objective To explore the echocardiographic features of critically ill patients with infection, and to evaluate the predictive value of echocardiographic parameters for 28-day mortality and myocardial injury. Methods Using a single-center prospective cohort design, 120 critically ill patients with infection admitted to the Intensive Care Unit, Jinshan Hospital of Fudan University from January 2024 to January 2025 were enrolled consecutively. According to the severity of infection, patients were divided into the sepsis group (n＝75) and the non-sepsis group (n＝45). Cox proportional hazards models and modified Poisson regression were used to analyze risk factors of 28-day all-cause mortality and myocardial injury. Kaplan-Meier survival curve and log-rank test were used to assess prognosis differences among patients with different ultrasound parameters. ROC curve and area under the curve (AUC) were applied to evaluate the predictive performance of ultrasound parameters, and restricted cubic spline (RCS) model was used to explore nonlinear relationships. Results The E/e′ ratio was significantly higher in the sepsis group than in the non-sepsis group (P＜0.001), while left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS) were lower in the sepsis group (P＜0.05). The Cox proportional hazards model found no association between ultrasound parameters and 28-day all-cause mortality. Modified Poisson regression showed that, after adjusting for confounding factors, elevated E/e′ was an independent risk factor of myocardial injury (RR＝1.12, 95% CI 1.07–1.17, P＜0.001). Survival analysis demonstrated that patients with E/e′ ＞10.9 had lower 28-day survival rates (P＝0.02), and the AUC for E/e′ predicting myocardial injury was 0.835. RCS analysis suggested a nonlinear relationship between E/e′ and myocardial injury risk (P＜0.001). Conclusions E/e′, LVEF, and LVFS have no significant predictive value for 28-day mortality risk in critically ill patients with infections. Elevated E/e′ is an independent risk factor of myocardial injury in such patients, with a nonlinear relationship.

In order to study the effects of prostaglandin D2(PGD2)on cow bone marrow-derived macrophages induced by E.coli,cultured cow bone marrow-derived macrophages were taken as the research object.The effects of endogenous and exogenous PGD2 on the secretion and phagocytosis of E.coli induced proinflammatory cytokines(IL-1β,IL-6 and TNF-α)in macrophages were ana-lyzed.The results showed that the synthesis of PGD2 in macrophages induced by E.coli is depend-ent on the natural pattern recognition receptors TLR2,TLR4 and NLRP3.Inhibition of endogenous PGD2can down-regulate the secretion of pro-inflammatory cytokines(IL-1β,IL-6 and TNF-α)in E.coli induced macrophages(P＜0.001),and inhibition of endogenous PGD2 can enhance the kill-ing function of macrophages to a certain extent(P＜0.01).In addition,exogenous PGD2 could up-regulate the secretion of pro-inflammatory cytokines(IL-1β,IL-6 and TNF-α)in macrophages af-ter E.coli stimulation(P＜0.01),and exogenous PGD2 could weaken the killing function of mac-rophages within a certain concentration range(P＜0.01).Results indicated that PGD2 had certain effects on the secretion of cytokines and phagocytosis and killing function of macrophages induced by E.coli.

Objective:To screen the risk factors for non-complete procedural success of transvenous lead extraction(TLE),and to establish a prediction model based on the results and evaluate its predictive efficacy.Methods:A total of 1 029 patients who underwent TLE in Peking University People's Hospital from January 2014 to December 2020 were enrolled and divided into training set(n=720)and validation set(n=309)using the random number method.There were no statistically significant differences among the variables in the training set and the validation set.The training set was divided into the complete procedural success(CPS)group(n=664)and the non-CPS group(n=56).Univariate analysis was employed to screen the relevant indicators of non-CPS,followed by binary logistic regression analysis to identify the independent risk factors of non-CPS.Subsequently,a predictive model and nomogram were constructed.The receiver operating characteristic(ROC)curve analysis was applied to evaluate the ability of the model to distinguish non-CPS from TLE patients in the training set and validation set.The Hosmer-Lemeshow goodness-of-fit test was used to assess the consistency between the predicted risk and the actual risk of the model.Results:Univariate analysis showed that the relevant variables with P<0.1 including the age at the first implantation of the lead,the number of leads extracted,the oldest dwell time of lead extracted,the presence of abandoned leads,non-manual traction for lead extracted,the number of extracted leads>3,bilateral lead implantation,and the indications for TLE.The binary logistic regression analysis revealed that the presence of abandoned leads(OR=2.252,95%CI:1.111-4.564,P=0.024),the oldest dwell time of the extracted leads(OR=1.009,95%CI:1.005-1.012,P<0.001),and the number of extracted leads>3(OR=3.177,95%CI:1.306-7.733,P=0.011)were independent risk factors for non-CPS of TLE.ROC curve analysis revealed that the area under the ROC curve(AUC)of the training set was 0.80(95%CI:0.75-0.85,P<0.001).The AUC of the validation set was 0.81(95%CI:0.72-0.90,P<0.001).The Hosmer-Lemeshow goodness-of-fit test indicated that the P values of both the training set(P=0.089)and the validation set(P=0.136)were greater than 0.05.Conclusions:The presence of abandoned leads,the oldest dwell time of lead extracted,and the number of extracted leads>3 are independent risk factors for non-CPS in patients undergoing TLE.The nomogram model based on the above factors has satisfactory predictive ability.

Objective:To screen the risk factors for non-complete procedural success of transvenous lead extraction(TLE),and to establish a prediction model based on the results and evaluate its predictive efficacy.Methods:A total of 1 029 patients who underwent TLE in Peking University People's Hospital from January 2014 to December 2020 were enrolled and divided into training set(n=720)and validation set(n=309)using the random number method.There were no statistically significant differences among the variables in the training set and the validation set.The training set was divided into the complete procedural success(CPS)group(n=664)and the non-CPS group(n=56).Univariate analysis was employed to screen the relevant indicators of non-CPS,followed by binary logistic regression analysis to identify the independent risk factors of non-CPS.Subsequently,a predictive model and nomogram were constructed.The receiver operating characteristic(ROC)curve analysis was applied to evaluate the ability of the model to distinguish non-CPS from TLE patients in the training set and validation set.The Hosmer-Lemeshow goodness-of-fit test was used to assess the consistency between the predicted risk and the actual risk of the model.Results:Univariate analysis showed that the relevant variables with P<0.1 including the age at the first implantation of the lead,the number of leads extracted,the oldest dwell time of lead extracted,the presence of abandoned leads,non-manual traction for lead extracted,the number of extracted leads>3,bilateral lead implantation,and the indications for TLE.The binary logistic regression analysis revealed that the presence of abandoned leads(OR=2.252,95%CI:1.111-4.564,P=0.024),the oldest dwell time of the extracted leads(OR=1.009,95%CI:1.005-1.012,P<0.001),and the number of extracted leads>3(OR=3.177,95%CI:1.306-7.733,P=0.011)were independent risk factors for non-CPS of TLE.ROC curve analysis revealed that the area under the ROC curve(AUC)of the training set was 0.80(95%CI:0.75-0.85,P<0.001).The AUC of the validation set was 0.81(95%CI:0.72-0.90,P<0.001).The Hosmer-Lemeshow goodness-of-fit test indicated that the P values of both the training set(P=0.089)and the validation set(P=0.136)were greater than 0.05.Conclusions:The presence of abandoned leads,the oldest dwell time of lead extracted,and the number of extracted leads>3 are independent risk factors for non-CPS in patients undergoing TLE.The nomogram model based on the above factors has satisfactory predictive ability.

ObjectiveTo improve the quality and service performance of community visual health services in Shanghai, and to establish a set of reasonable and effective evaluation index system for community visual health services. MethodsCentered on the national and Shanghai-based visual health policies and based on the current status and development trends of community visual health service program in Shanghai, the candidate indicators were formed through literature review and expert interviews, firstly. The framework of an evaluation index system was formulated through qualitative research successively, which was further revised and perfected using the Delphi method. Coefficient weights were calculated using the analytic hierarchy process (AHP), culminating in the establishment of the community visual health evaluation index system, lastly. ResultsA total of 22 visual health experts from district-level center for disease control, hospital ophthalmology and leaders in charging of visual health service in community health centers participated in the Delphi questionnaire survey, with a questionnaire recovery rate of 100% and an expert authority coefficient of 0.86, indicating high credibility. After a round of correspondence to experts’ importance ratings and discussions, a comprehensive evaluation index system comprising 3 primary indicators, 12 secondary indicators, and 47 tertiary indicators, along with 5 additional indicators, was finalized. ConclusionAn index system tailored to effective evaluation for community visual health initiatives was drawn up in this study, which can promote the capacity building in community eye health services, facilitating the high-quality development of visual health courses, and enhancing residents’ eye health.

Objective: To explore the safety and feasibility of the disconnection of the left renal artery preferentially during robot-assisted inferior vena cava (IVC) thrombectomy for patients with left renal cell carcinoma and tumor emboli. Methods: Clinical data of 7 patients who underwent robot-assisted IVC thrombectomy and radical nephrectomy in the First Affiliated Hospital of Zhengzhou University during Dec.2021 and Oct.2024 were retrospectively analyzed.Thrombectomy was performed first，followed by nephrectomy. The “IVC-first, kidney-last”robotic technique was developed to minimize chances of IVC thrombus. When patients in left lateral decubitus position, the left renal artery was severed from the right side through the inferior vena cava and abdominal aorta. After removal of thrombus from IVC was completed, patients changed to the right lateral position to complete radical left nephrectomy. Results: Imaging examinations revealed that the median diameter of the renal cell carcinomas was 83(46-99) mm; the median length of the inferior vena cava cancerous emboli was 49(2-91) mm.According to the Mayo classification，the cancerous emboli were gradeⅠ in 2 cases，gradeⅡ in 4 cases，and grade Ⅲ in 1 case.All surgeries were successful.The median operation time was 248(201-331) minutes，blood loss 500(200-1000) mL，and 6 cases required intraoperative blood transfusion.The median time for transition into the intensive care unit was 1(1-4) days，and drainage tube removal 6(5-12) days.Serum creatinine increased significantly in 5 cases，4 of which returned to normal after 1 week，but 1 had renal insufficiency (creatinine 166 μmol/L).Chylous fistula occurred in 1 patient，and lower extremity venous thrombosis developed in 3 patients.Pathological examinations indicated 6 cases of renal cell carcinoma and 1 case of MiT family translocation renal cell carcinoma.During the median follow-up of 17(1-35) months，5 cases were tumor-free，while 2 had lung and retroperitoneal metastases.They received targeted therapy of axitinib combined immunotheraphy and lived with tumors. Conclusion: In the left lateral position for left renal cell carcinoma with cancerous emboli，robot-assisted laparoscopic thrombectomy by crossing the inferior vena cava and abdominal aorta and disconnecting the left renal artery first is safe and feasible.

In order to study the effects of prostaglandin D2(PGD2)on cow bone marrow-derived macrophages induced by E.coli,cultured cow bone marrow-derived macrophages were taken as the research object.The effects of endogenous and exogenous PGD2 on the secretion and phagocytosis of E.coli induced proinflammatory cytokines(IL-1β,IL-6 and TNF-α)in macrophages were ana-lyzed.The results showed that the synthesis of PGD2 in macrophages induced by E.coli is depend-ent on the natural pattern recognition receptors TLR2,TLR4 and NLRP3.Inhibition of endogenous PGD2can down-regulate the secretion of pro-inflammatory cytokines(IL-1β,IL-6 and TNF-α)in E.coli induced macrophages(P＜0.001),and inhibition of endogenous PGD2 can enhance the kill-ing function of macrophages to a certain extent(P＜0.01).In addition,exogenous PGD2 could up-regulate the secretion of pro-inflammatory cytokines(IL-1β,IL-6 and TNF-α)in macrophages af-ter E.coli stimulation(P＜0.01),and exogenous PGD2 could weaken the killing function of mac-rophages within a certain concentration range(P＜0.01).Results indicated that PGD2 had certain effects on the secretion of cytokines and phagocytosis and killing function of macrophages induced by E.coli.

With the widespread use of antimicrobial agents, bacterial drug resistance has become an increasingly severe issue, posing significant challenges to global healthcare. Traditional Chinese medicine (TCM) has emerged as a research focus in the field of bacterial resistance due to its broad sources, high safety profile, low toxicity, and antimicrobial mechanisms distinct from those of chemical drugs. Studies have shown that various TCM herbs, such as Scutellaria baicalensis, exert antibacterial effects through multiple pathways, including disrupting the integrity of bacterial cell walls and membranes, inhibiting nucleic acid and protein synthesis, and impairing energy production and metabolism. Additionally, certain TCM herbs, including Scutellaria baicalensis, Coptis chinensis, and Fritillaria thunbergii, can reverse antimicrobial resistance by eliminating resistant plasmids, inhibiting bacterial efflux pump function, and suppressing β-lactamase activity. TCM holds promising potential for antibacterial applications and synergistically reversing antimicrobial resistance, though systematic analyses remain limited. This review summarizes the mechanisms of antibacterial action of TCM and current research on its synergistic use with antimicrobial agents to reverse drug resistance, aiming to provide insights for developing novel TCM-based antimicrobials and addressing bacterial resistance.