Objective:To address the inefficiency, safety hazards, and resource wastage in traditional medical laboratory management, this study proposes a digital laboratory information management system (LIMS) based on Total Quality Management (TQM) principles. The LIMS has been implemented at the National Center for Geriatric Medicine (Huashan) affiliated with Fudan University.Methods:Centered on the principles of " all-staff participation, whole-process control, and comprehensive management", a multidimensional management framework was developed to integrate personnel, equipment, reagents, and safety protocols. The system incorporated IoT, digital twin, and artificial intelligence (AI) technologies to achieve end-to-end digital control. A layered architecture (physical layer, data layer, model layer, etc.) was designed to integrate functional modules such as full lifecycle equipment management, dual-authentication for hazardous chemicals, and intelligent resource scheduling. A 3D digital twin model was deployed to visualize real-time laboratory operations.Results:Post-implementation, equipment reservation frequency and usage duration at the National Center increased by 114% and 124%, respectively, with no safety incidents reported. Equipment sharing utilization reached 85%, and reagent expiration waste decreased by 30%.Conclusions:The system transforms laboratory management from experience-driven to data-driven by breaking data silos and optimizing collaboration mechanisms. It provides a replicable technical pathway and practical insights for the healthcare industry′s digital transformation. However, further improvements are needed in mobile support and system scalability.

Objective:To address the inefficiency, safety hazards, and resource wastage in traditional medical laboratory management, this study proposes a digital laboratory information management system (LIMS) based on Total Quality Management (TQM) principles. The LIMS has been implemented at the National Center for Geriatric Medicine (Huashan) affiliated with Fudan University.Methods:Centered on the principles of " all-staff participation, whole-process control, and comprehensive management", a multidimensional management framework was developed to integrate personnel, equipment, reagents, and safety protocols. The system incorporated IoT, digital twin, and artificial intelligence (AI) technologies to achieve end-to-end digital control. A layered architecture (physical layer, data layer, model layer, etc.) was designed to integrate functional modules such as full lifecycle equipment management, dual-authentication for hazardous chemicals, and intelligent resource scheduling. A 3D digital twin model was deployed to visualize real-time laboratory operations.Results:Post-implementation, equipment reservation frequency and usage duration at the National Center increased by 114% and 124%, respectively, with no safety incidents reported. Equipment sharing utilization reached 85%, and reagent expiration waste decreased by 30%.Conclusions:The system transforms laboratory management from experience-driven to data-driven by breaking data silos and optimizing collaboration mechanisms. It provides a replicable technical pathway and practical insights for the healthcare industry′s digital transformation. However, further improvements are needed in mobile support and system scalability.

Objective To systematically evaluate the prognostic prediction model for chronic heart failure patients in China, and provide reference for the construction, application, and promotion of related prognostic prediction models. Methods A comprehensive search was conducted on the studies related to prognostic prediction model for Chinese patients with chronic heart failure published in The Cochrane Library, PubMed, EMbase, Web of Science, CNKI, VIP, Wanfang, and the China Biological Medicine databases from inception to March 31, 2023. Two researchers strictly followed the inclusion and exclusion criteria to independently screen literature and extract data, and used the prediction model risk of bias assessment tool (PROBAST) to evaluate the quality of the models. Results A total of 25 studies were enrolled, including 123 prognostic prediction models for chronic heart failure patients. The area under the receiver operating characteristic curve (AUC) of the models ranged from 0.690 to 0.959. Twenty-two studies mostly used random splitting and Bootstrap for internal model validation, with an AUC range of 0.620-0.932. Seven studies conducted external validation of the model, with an AUC range of 0.720-0.874. The overall bias risk of all models was high, and the overall applicability was low. The main predictive factors included in the models were the N-terminal pro-brain natriuretic peptide, age, left ventricular ejection fraction, New York Heart Association heart function grading, and body mass index. Conclusion The quality of modeling methodology for predicting the prognosis of chronic heart failure patients in China is poor, and the predictive performance of different models varies greatly. For developed models, external validation and clinical application research should be vigorously carried out. For model development research, it is necessary to comprehensively consider various predictive factors related to disease prognosis before modeling. During modeling, large sample and prospective studies should be conducted strictly in accordance with the PROBAST standard, and the research results should be comprehensively reported using multivariate prediction model reporting guidelines to develop high-quality predictive models with strong scalability.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.

Objective:To know the current situation of kinesiophobia in patients after cardiac surgery under cardiopulmonary bypass, and to clarify its influencing factors, so as to provide reference for developing intervention strategies to improve kinesiophobia level.Methods:This was a cross-sectional study. From February 2022 to September 2022, the patients after cardiac valve surgery under cardiopulmonary bypass in the Second Affiliated Hospital Zhejiang University School of Medicine were investigated by convenience sampling methods. The survey was conducted using the General Information Questionnaire, The Tampa Scale for Kinesiophobia Heart, Exercise Self-Efficacy Scale, Pain Catastrophizing Scale, and Adaptation, Partnership, Growth, Affection and Resolve(APGAR) as research tools, and the influencing factors were analyzed using univariate and binary Logistic regression analysis.Results:A total of 219 patients were included, of which 97 patients (44.3%) had kinesiophobia. The results of binary Logistic regression analysis showed that monthly family income level, first time out of bed after operation, fear of falling, the family APGAR, and pain catastrophizing were significant influencing factors of kinesiophobia in patients after heart valve surgery under cardiopulmonary bypass (all P<0.05). Conclusions:The prevalence of kinesiophobia is high among patients after heart valve surgery under cardiopulmonary bypass. Clinicians should pay attention to patients with low monthly family income level, late first time out of bed after surgery, and fear of falling, as well as strengthen communication with patients and families, focus on the management of acute postoperative pain. In order to reduce or avoid the occurrence of kinesiophobia and enable patients to benefit from early ambulation.

Objective:To evaluate the clinical status, and analyz obstacles and facilitators for perioperative deep vein thrombosis prevention of brain neoplasms based on the Ottawa model of research use (OMRU).Methods:A total of 93 patients with brain tumors who were admitted to the Department of Neurosurgery, the First Affiliated Hospital of Nanjing Medical University from April to May 2021 and 33 nurses in the neurosurgery ward and operating room neurosurgery special group were selected as the baseline review subjects by convenience sampling. Based on the framework of evidence-based continued quality improvement of Fudan University, we searched BMJ Best Practice, UpToDate, The Joanna Briggs Institute Library, International Guideline Library, American Guideline Network, Scottish Intercollegiate Guideline Network, National Institutes for Health and Clinical Technology Optimization, Medline, Medlive, China National Knowledge Infrastructure, VIP, Wanfang and SinoMed according to the '6S' evidence pyramid from inception to January 1, 2021 for all clinical decisions, recommended practices, best practice information, evidence summary, guidelines and expert consensus on venous thrombosis assessment, prevention, screening, nursing and health education. The best evidence was summarized, and the final review indicators were formulated through two rounds of expert correspondence. According to the results of baseline review, barriers and facilitators were analyzed, and countermeasures were developed guided by OMRU.Results:A total of 19 best evidences were included, and 34 review indicators were developed in this study. Among them, only 4 indicators had a compliance rate of 100%, 18 ones had a compliance rate of 0, and the other 12 ones had a compliance rate of 6.5%-97.8%. A multi-factor analysis of the review results showed that the main obstacles of evidence implementation were the feasibility and comprehensibility at evidence level, the lack of knowledge and heavy workloads at the potential practitioner level, insufficient education materials, trainings and preventive equipment at system level. Furthermore, the reliable sources of evidence at evidence level, supports from practitioners at the potential practitioner level and system resources (such as training, national and hospital policies, etc.) at system level may contribute to the clinical application of evidence.Conclusions:There was still a huge gap between the best evidence and clinical practice. The obstacles and facilitating factors in evidence transformation should be evaluated scientifically and comprehensively, and corresponding countermeasures should be given to promote the application of evidence in clinical practice.

Objective:To conduct a scoping review on the influencing factors of kinesiophobia in cardiovascular disease patients, with the aim of providing reference for medical and nursing staff to formulate nursing interventions.Methods:Guided by the scoping review guideline, computer searches were carried out on PubMed, Embase, Web of Science, Cochrane Library, CINAHL, China National Knowledge Infrastructure, WanFang Data, and VIP. The search period was from the establishment of the database to February 21, 2023. The included article was summarized and analyzed.Results:A total of 26 articles were included. The incidence of kinesiophobia in cardiovascular disease patients was relatively high, and its influencing factors included sociodemographic factors, disease factors, psychological factors, and other factors.Conclusions:The influencing factors of kinesiophobia in cardiovascular disease patients are complex and diverse, and some factors are still controversial. Multicenter and large sample studies are needed to further validate and clarify.

Objective:To analyze the results of plague surveillance in Qinghai Province from 2011 to 2020, master the epidemic situation in recent years, and provide scientific basis for prevention and control of the plague in the future.Methods:The human plague epidemic data (from the human case database of Qinghai Institute for Endemic Disease Prevention and Control) and animal plague epidemic data (from plague monitoring data and plague focus survey data of Qinghai Province) from 2011 to 2020 were collected and analyzed with descriptive epidemiological methods, including human plague epidemic, animal plague epidemic regional distribution, host animal monitoring results, pathogenic monitoring results and serological monitoring results.Results:From 2011 to 2020, there was a human plague epidemic in Qinghai Province, which was infected due to the infection of a middle finger of the right hand that was accidentally scratched when peeling marmots, and Yersinia pestis was isolated from heart, liver, lung, lymph node puncture fluid, tracheal secretion and throat swab samples of the deceased. There were 16 animal plague epidemics and endemic areas were distributed in Haixi Prefecture, Yushu Prefecture and Haibei Prefecture, among which the animal plague epidemic was the most prevalent in Haixi Prefecture, with 13 outbreaks in recent 10 years. According to the monitoring of host animals, the main host animal was the Himalayan marmot, with an average density of 0.07/hm 2. Pathgenic monitoring showed that 31 strains of Yersinia pestis were isolated, of which 27 strains were isolated from Haixi Prefecture. The host animals of Yersinia pestis were mainly Himalayan marmot, accounting for 77.42% (24/31) of the total. Serological monitoring showed that 66 plague F1 antibody positive sera were detected, of which 43 were dog positive sera; the Himalayan marmot took the second place, 20. Conclusion:From 2011 to 2020, the animal plague in Qinghai Province has continued for many years, with some areas showing an active trend, and the overall situation of plague prevention and control is severe.

Pancreatic duct stones are closely related to chronic pancreatitis. Although the incidence is low, they can cause intractable abdominal pain and may lead to pancreatic cancer. Changes in the composition of pancreatic juice are the essential causes for the formation of pancreatic duct stones, while local inflammation and pancreatic ductal stenosis are the direct causes of the progression of stones and the recurrence of the symptoms, and they are also the main targets of treatment. Endoscopic treatment combined with extracorporeal shock-wave lithotripsy has a good therapeutic effect on most pancreatic duct stones. More complex stones require surgical intervention. The choice of specific surgical methods is related to the size and distribution of the stones. Treatment schemes should aim at reducing long-term stones or pain recurrence, and preserving more endocrine and exocrine functions of the pancreas, in order to bring greater benefits to patients.