Objective: To explore the application effectiveness of healthcare failure mode and effect analysis (HFMEA) in optimizing intelligent blood logistics transport pathways for safety assurance. Methods: Data from 1 851 cases of intelligent blood logistics transport were collected between September 2023 and March 2025. Based on the implementation phases of HFMEA measures, the cases were divided into a control group (n=120), observation group 1 (n=219), and observation group 2 (n=1 512). Through systematic analysis of the transport processes, hazard scoring and decision tree analysis were conducted for each process, and phased optimization measures were implemented for high-risk failure modes. Results: The transport duration of intelligent blood logistics was 35.5 (20.8, 71.1) min in the control group, 25.1 (10.9, 40.7) min in observation group 1, and 9.9 (4.2, 44.5) min in observation group 2. Observation group 2 exhibited significantly shorter transport time compared to both observation group 1 and the control group, with statistically significant differences between groups (P<0.000 1). Conclusion: The implementation of HFMEA-driven measures significantly reduced intelligent blood logistics transport duration, thereby fostering the evolution of smart hospital ecosystems while enhancing healthcare service quality and operational efficiency.

Objective To analyze the characteristics of postoperative hospital-acquired infections and drug sensitivity in lung transplant recipients over the past 5 years in a single center. Methods A total of 724 lung transplant recipients at Wuxi People's Hospital from January 2019 to December 2023 were selected. Based on the principles of hospital-acquired infection diagnosis, a retrospective analysis was conducted on the hospital infection situation and infection sites of lung transplant recipients, and an analysis of the distribution of hospital-acquired infection pathogens and their antimicrobial susceptibility test status was performed. Results Among the 724 lung transplant recipients, 275 cases of hospital-acquired infection occurred, with an infection rate of 38.0%. The case-time infection rate decreased from 54.2% in 2019 to 22.8% in 2023, showing a downward trend year by year (Z=30.98, P<0.001). The main infection site was the lower respiratory tract, accounting for 73.6%. The pathogens were mainly Gram-negative bacteria, with the top four being Acinetobacter baumannii (37.1%), Pseudomonas aeruginosa (17.3%), Klebsiella pneumoniae (13.7%), and Stenotrophomonas maltophilia (13.4%), with imipenem resistance rates of 89%, 53%, 58% and 100%, respectively. Gram-positive bacteria were mainly Staphylococcus aureus (3.6%), with a methicillin resistance rate of 67%. Conclusions Over the past 5 years, the hospital-acquired infections in lung transplant recipients have shown a downward trend, mainly involving lower respiratory tract infections, with the main pathogens being Acinetobacter baumannii, Pseudomonas aeruginosa and Klebsiella pneumoniae, all of which have high resistance rates to imipenem.

OBJECTIVE To explore the application of digital twin technology in modeling and simulating the hospi-tal-associated transmission pathways of multidrug-resistant organisms(MDROs)and propose MDRO transmis-sion prevention and control strategies based on digital twins.METHODS Real-time hospital data and person-nel mobility information from Jun.2023 to Jun.2024 were collected and analyzed.A dynamic model of the hospi-tal's internal environment and MDROs transmission was established by digital modeling and 3D simulation tech-nology of the hospital environment.A simulation platform was utilized to analyze the impact of different preven-tion and control measures on MDROs transmission risks.Digital twin technology was employed for predicting and real-time monitoring of organism transmission pathways.RESULTS Simulation data showed that under initial pre-vention and control conditions,Ward A had 8 infected individuals and a transmission duration of 12 days.Af-ter implementing comprehensive measures of"increased cleaning frequency+enhanced personnel protection",the number of infected individuals reduced to 4,the transmission duration shortened to 6 days and the transmis-sion risk reduction rate reached 45.00％.The digital twin model can effectively reflect the transmission patterns of MDROs within the hospital and provide quantitative risk assessments under different prevention and control strat-egies.CONCLUSIONS Digital twin technology can predict and simulate organism transmission pathways in real-time,providing scientific decision-making support for hospitals.It has the potential to become a new paradigm for MDROs prevention and control.

Objective:To compare the clinical efficacy and adverse events of different postoperative radiotherapy strategies (adjuvant radiotherapy versus salvage radiotherapy) and different irradiation fields (prostate bed versus prostate bed + pelvic radiation) in patients after radical prostatectomy for prostate cancer.Methods:This retrospective analysis included clinical data from 115 patients with localized or locally advanced prostate cancer who received intensity-modulated radiotherapy (IMRT) after radical prostatectomy at Beijing Hospital between March 2014 and September 2023. Among them, 40 patients received adjuvant radiotherapy, and 75 received salvage radiotherapy. And 74 patients received irradiation to both the prostate bed and pelvic (prostate bed + pelvic radiation group), while 41 patients received irradiation to the prostate bed alone (prostate bed irradiation group). Comparison was made between the adjuvant radiotherapy group and salvage radiotherapy group, as well as between prostate bed + pelvic radiation group and prostate bed irradiation group, in terms of overall survival (OS), progression-free survival (PFS), locoregional recurrence-free survival (LRRFS), and the incidence of adverse events. Clinical characteristics were compared using the chi-square test. Survival rates were calculated using the Kaplan-Meier method and compared using the log-rank test. Prognostic factors affecting survival were analyzed using Cox multivariate regression.Results:The median follow-up duration was 73.1 months. The 5-year OS, PFS and LRRFS rates for the entire cohort were 96.4%, 86.4%, and 93.2%, respectively. A total of 59 patients (51.3%) experienced grade 1-2 acute radiotherapy-related adverse events, while 43 patients (37.4%) experienced grade 1-2 late radiotherapy-related adverse events. No grade ≥ 3 late adverse events were observed. There were no statistically significant differences in OS, PFS, or LRRFS between the adjuvant and salvage radiotherapy groups ( P = 0.807, 0.996, and 0.976, respectively), or in the incidence of grade 1-2 acute or late adverse events ( P > 0.05). The OS rate in the prostate bed + pelvic radiation group was significantly lower than that in the prostate bed irradiation group ( P = 0.036), while no significant differences were found in PFS or LRRFS ( P = 0.109 and 0.190, respectively), or in the incidence of grade 1-2 acute or late adverse events ( P > 0.05). Multivariable analysis showed no statistically significant differences in OS, PFS, or LRRFS between the adjuvant and salvage radiotherapy groups, or between the prostate bed and prostate bed + pelvic irradiation groups ( P = 0.756, 0.341, 0.605; 0.938, 0.987, 0.605, respectively). Conclusions:In the era of modern IMRT, both adjuvant and salvage radiotherapy, as well as prostate bed and prostate bed + pelvic irradiation, demonstrate similar efficacy and safety profiles after radical prostatectomy for prostate cancer. Treatment outcomes were favorable, and adverse events were minimal.

Objective:To compare the treatment time stability, inter- and intra-fraction errors, and clinical target volume (CTV) to planning target volume (PTV) margin expansions under different gated window settings in deep inspiration breath hold (DIBH) radiotherapy for breast cancer, and to analyze the correlation between organ at risk (OAR) dose optimization and changes in lung volume.Methods:A retrospective analysis was conducted on 65 patients with left-sided breast cancer who received DIBH radiotherapy after modified radical mastectomy. CT simulation positioning was performed using 2 mm or 3 mm gated window for DIBH, followed by target delineation, treatment planning, and dose verification. During treatment, setup errors guided by cone beam CT (CBCT), intra-fraction monitoring errors, and treatment times were recorded. The coefficient of variation (CV) of treatment time was calculated for both gated window settings. Based on inter- and intra-fraction error distributions, the expansion distance of the CTV were determined using the van Herk formula. Dosimetric differences between DIBH and free-breathing (FB) plans for the left lung, heart, and left anterior descending coronary artery (LAD) were compared. Spearman correlation analysis was performed between the relative increase in left lung volume and the relative reduction in OAR dose. Paired t-tests were used for inter-group comparisons. Results:The mean CV of the 3 mm gated window group was 0.08±0.03, which was lower than that of the 2 mm group (0.10±0.04; t=-3.91, P<0.001). The setup errors of the 2 mm group in the X, Y, and Z directions were (1.27±1.03), (1.68±0.94), (1.90±1.25) mm, respectively-significantly smaller than those of the 3 mm group [(1.81±1.41), (2.07±1.69), (2.93±1.90) mm; t=-5.80, -2.33, -5.33; P<0.001,=0.014,<0.001). Setup errors for both groups were within the 25%-75% range and all below 5 mm. The intra-fraction deviations of the 2 mm group in the X, Y, and Z directions were (0.54±0.33), (0.79±0.44), (0.70±0.53) mm, respectively, significantly smaller than those of the 3 mm group [(0.62±0.43), (0.93±0.66), (0.87±0.67) mm; t=-3.87, -3.46, -2.71,all P<0.001). The mean intra-fraction errors of both groups were within 1 mm, with greater deviations in the Y and Z directions than those in the X direction. The CTV expansion margins for the 2 mm group in the X, Y, and Z directions were 4.21, 5.35, 5.99 mm, respectively, while those for the 3 mm group were 5.81, 6.89, 9.06 mm. Compared with FB, DIBH significantly reduced the doses to the left lung, heart, and LAD (all P<0.01). The increase in left lung volume was moderately negatively correlated with the reduction in left lung D mean ( r=-0.43, P=0.028), and highly negatively correlated with the dose reductions to the heart and LAD (both P<0.001). Conclusions:The variability in respiratory gated window settings can lead to differences in treatment time stability as well as inter- and intra-fraction errors, consequently affecting CTV-to-PTV margins. The DIBH technique demonstrates significant dosimetric benefits in reducing radiation exposure to the left lung, heart, and LAD. Volumetric expansion of the left lung is strongly and inversely correlated with the reduction in radiation dose to both the heart and LAD.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

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 explore the risk factors for healthcare-associated infection(HAI)in lung transplant re-cipients(LTRs),and construct a predictive nomogram model.Methods Clinical data of patients who underwent lung transplant in Wuxi People's Hospital from January 2019 to December 2023 were analyzed retrospectively.The patients were divided into a training set(n=506)and a validation set(n=218).Independent risk factors were screened through LASSO regression,and multivariate logistic regression was included to construct a nomogram pre-diction model.The discrimination,calibration,and clinical applicability of the model were evaluated using receiver operating characteristic(ROC)curves,Hosmer-Lemeshow goodness-of-fit,and decision curves.Results Among the 506 LTRs,201 developed HAIs,with an incidence of 39.72％.The major infection site was lower respiratory tract,and the major pathogen were Gram-negative bacilli(Acinetobacter baumannii).Older age,use of extracorpo-real membrane oxygenation(ECMO),double-lung transplant,surgery duration＞3 hours,long duration of contin-uous fever,frequent abnormal blood routine examination,and long duration of combined use of antimicrobial agents were identified as independent risk factors for HAI after lung transplant.The ROC curve analysis results showed that the areas under the curve(AUCs)of the training set and the validation set were 0.74(95％CI:0.70-0.78)and 0.71(95％CI:0.64-0.78),respectively.The Hosmer-Lemeshow test results showed that there was no sta-tistically significant difference between the predictive and actual probability of HAI(P＞0.05).The clinical decision curve results indicated that the model had clinical benefits at a threshold probability value of 7％-71％.Conclusion The nomogram prediction model constructed in this study can effectively evaluate the risk of postoperative infection in LTRs.The model is stable and has high clinical application value,providing scientific reference for postoperative infection prevention and control.

Objective To evaluate the effect of multi-disciplinary team(MDT)management mode on the preven-tion and control of carbapenem-resistant Enterobacterales(CRE)infection after lung transplant surgery,and explore the influencing factors for CRE infection after lung transplant.Methods A total of 654 lung transplant recipients from Lung Transplant Center of Wuxi People's Hospital from January 2014 to July 2023 were selected as the re-search subjects.According to the time nodes of the implementation of MDT management mode,lung transplant re-cipients from January 2014 to December 2019 were assigned to the control group without implementation of MDT management mode.Lung transplant recipients from January 2020 to July 2023 were in the intervention group with MDT management mode implementation.Kaplan-Meier method was used to calculate the risk of CRE infection in lung transplant recipients 90 days after surgery.Cox regression model was used to adjust variables such as length of hospital stay,surgical duration,and catheterization days of three catheters,and the effect of implementing MDT management mode on the risk of CRE infection was analyzed.Results Among 654 lung transplant recipients,215 had healthcare-associated infection(HAI),including 158 cases from the control group and 57 from the intervention group,with HAI rates of 38.54％and 23.36％,respectively.The incidence of HAI in lung transplant recipients in the intervention group was lower than that in the control group(x2=15.965,P＜0.001).A total of 74 cases of CRE infection were confirmed,and CRE infection rate in the intervention group was lower than that in the control group(7.79％[19/244]vs 13.41％[55/410];x2=4.828,P=0.028).By the end of the 90-day follow-up period,the cumulative infection risks of the control group and intervention group were 14.67％and 8.26％,respectively,with a statistically significant difference between the two groups(P＜0.05).The implementation of MDT manage-ment mode was a protective factor for post-operative CRE infection in lung transplant recipients,while duration of surgery,duration of ventilator use,and duration of urinary catheterization were risk factors for CRE infection(all P＜0.05).Conclusion Implementing MDT management mode in lung transplant recipients can effectively reduce the risk of post-operative CRE infection.Continuously standardizing and implementing MDT management of multidrug-resistant organisms in hospitals is an important mean of preventing CRE infection and controlling transmission.

Objective To explore the risk factors for healthcare-associated infection(HAI)in lung transplant re-cipients(LTRs),and construct a predictive nomogram model.Methods Clinical data of patients who underwent lung transplant in Wuxi People's Hospital from January 2019 to December 2023 were analyzed retrospectively.The patients were divided into a training set(n=506)and a validation set(n=218).Independent risk factors were screened through LASSO regression,and multivariate logistic regression was included to construct a nomogram pre-diction model.The discrimination,calibration,and clinical applicability of the model were evaluated using receiver operating characteristic(ROC)curves,Hosmer-Lemeshow goodness-of-fit,and decision curves.Results Among the 506 LTRs,201 developed HAIs,with an incidence of 39.72％.The major infection site was lower respiratory tract,and the major pathogen were Gram-negative bacilli(Acinetobacter baumannii).Older age,use of extracorpo-real membrane oxygenation(ECMO),double-lung transplant,surgery duration＞3 hours,long duration of contin-uous fever,frequent abnormal blood routine examination,and long duration of combined use of antimicrobial agents were identified as independent risk factors for HAI after lung transplant.The ROC curve analysis results showed that the areas under the curve(AUCs)of the training set and the validation set were 0.74(95％CI:0.70-0.78)and 0.71(95％CI:0.64-0.78),respectively.The Hosmer-Lemeshow test results showed that there was no sta-tistically significant difference between the predictive and actual probability of HAI(P＞0.05).The clinical decision curve results indicated that the model had clinical benefits at a threshold probability value of 7％-71％.Conclusion The nomogram prediction model constructed in this study can effectively evaluate the risk of postoperative infection in LTRs.The model is stable and has high clinical application value,providing scientific reference for postoperative infection prevention and control.