The welfare and ethics of laboratory animals are the ethical principles and behavioral norms that need to be followed in conducting animal-based scientific research, breeding and managing laboratory animals, and supervising and regulating such activities. The level of protection of laboratory animal welfare and ethics is closely related to the development of science and technology, which has become a widely recognized international consensus. At present, Guangdong Province is accelerating the construction of a high-level science and technology innovation province and the Guangdong-Hong Kong-Macao Greater Bay Area International Science and Technology Innovation Center. Guangdong Province should rely on its advanced governance capacity in the field of laboratory animal science and technology ethics to promote the high-quality development of its laboratory animal science and technology sector. Based on the management laws, regulations, and institutional mechanisms of laboratory animals in China, this paper explores the optimization of the laboratory animal science and technology ethics governance system, which includes the institutional guarantees, responsibility systems, ethical review and supervision mechanisms, and education and outreach. Through methods such as literature research, questionnaire surveys, and interview investigations, an empirical study of the laboratory animal science and technology ethics governance system in Guangdong Province has been conducted. Analysis of literature and research results shows that Guangdong Province has basically established a laboratory animal management system, collaboration mechanism, supervision mechanism, and education and training system that meet the current requirements of the laboratory animal science and technology ethics governance system in China. However, there are still problems such as an incomplete laboratory animal science and technology ethics supervision mechanism, an underdeveloped operation mechanism of review institutions, insufficient attention paid by laboratory animal units to the ethical review of animal experiments, inconsistent ethical review standards, and a lack of professional ethical education and training for ethics review personnel. Therefore, optimization measures such as improving the laboratory animal science and technology ethics review system, strengthening supervision and inspection, further strengthening the accountability of responsible entities, formulating review norms, and enhancing hierarchical and classified education and training are proposed, to provide a theoretical basis for promoting the normalized and long-term governance of laboratory animal science and technology ethics in Guangdong Province.

The clinical diagnosis and treatment of kidney transplantation involve a large amount of high-dimensional, nonlinear and multimodal complex data. Traditional statistical methods make it difficult to fully identify the underlying patterns. However, artificial intelligence (AI) technology has stronger capabilities in data integration and analysis, and is particularly adept at handling complex data. This article reviews the application of AI in the field of kidney transplantation, covering the role of deep learning models in the quantitative assessment of donor kidney quality in the pre-transplantation stage, the value of virtual biopsy systems and the optimization strategies for donor-recipient matching, as well as the dynamic prediction of graft survival rate by the iBox system in the post-transplantation stage, the advantages of AI models in non-invasive monitoring of rejection and the application results of individualized dose prediction of immunosuppressive drugs. Although the clinical application of medical AI is still limited by insufficient model interpretability, questionable generalization ability, and ethical and legal risks, technologies such as federated learning and digital twins are expected to solve the problems of data privacy and simulation prediction, and further promote the precise development of kidney transplantation.

ObjectiveTo investigate the risk factors for postpancreatectomy acute pancreatitis （PPAP） after minimally invasive pancreaticoduodenectomy （MIPD） and their association with major complications， to improve the understanding of PPAP and postoperative pancreatic fistula （POPF）， and to reduce the incidence rates of PPAP and POPF. MethodsA retrospective analysis was performed for the clinical data of 114 patients who underwent MIPD in Department of Hepatobiliary and Pancreatic Surgery， The First Affiliated Hospital of University of South China， from March 2015 to December 2023， and the definition of PPAP and its diagnostic criteria provided by the International Study Group of Pancreatic Surgery were used to determine the presence or absence of PPAP. The independent samples t-test or the Mann-Whitney U rank sum test was used for comparison of continuous data between groups， and the Kruskal-Wallis H test was used for comparison between multiple groups， and the Dunn-test was used for further comparison between two groups.； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups.， and the Bonferroni-test was used for further comparison between two groups. The multivariate logistic regression analysis was used to identify the risk factors for PPAP after MIPD. ResultsOf all 114 patients undergoing MIPD， 27 （23.7%） experienced PPAP. The multivariate analysis showed that main pancreatic duct diameter ≤3 mm （odds ratio ［OR］=5.083， 95% confidence interval ［CI］： 1.703 — 15.172， P=0.004）， soft pancreatic texture （OR=5.925， 95%CI： 1.986 — 17.677， P=0.001）， and C-reactive protein ≥180 mg/L on day 1 after surgery （OR=5.419， 95%CI： 1.586 — 18.513， P=0.007） were independent risk factors for the onset of PPAP after MIPD. Clinical analyses showed that the patients with PPAP tended to have significantly higher incidence rates of POPF， peritoneal infection， Clavien-Dindo grade 3/4 complications， discharge with tube， and 90-day postoperative death （χ²=5.676， 5.460， 9.863， 5.439， and 4.207， all P<0.05）. ConclusionMain pancreatic duct diameter， pancreatic texture， and C-reactive protein on day 1 after surgery are closely associated with the onset of PPAP after MIPD， and PPAP can lead to other postoperative complications and even death.

Objective To investigate the expansion margins of the planning target volume (PTV) and the planning organ at risk volume (PRV) in nasopharyngeal carcinoma patients immobilized with Styrofoam and head-neck-shoulder mask. Methods A convenient sample of 33 nasopharyngeal carcinoma patients who received radiotherapy at Huanggang Central Hospital from January to October 2024 were selected as the research subjects. All patients underwent cone beam CT scans during the first three treatments and weekly thereafter. After registration and calibration, the setup errors in the X (LAT), Y (LNG), and Z (VRT) directions were recorded. Statistical analysis was performed on the setup errors in each direction to determine differences, and the expansion margins for PTV and PRV were calculated using empirical formulas. Results A total of 229 cone beam CT images were collected. Statistical analysis found that the setup errors (systematic error ± random error) of the patients in the X, Y, and Z directions were 1.05 ± 0.72, 1.30 ± 0.80, and 1.29 ± 0.82 mm, respectively. The expansion margins for PTV in the left-right, superior-inferior, and anterior-posterior directions were 1.40, 1.76, and 1.8 mm, respectively. The expansion margins for PRV in these directions were 0.83, 1.02, and 1.05 mm, respectively. Conclusion For patients immobilized using Styrofoam and head-neck-shoulder mask, it is recommended that the expansion margins for PTV and PRV be set at 2 mm and 1 mm, respectively, in the left-right, superior-inferior, and anterior-posterior directions, and the PRV margin for the spinal cord be set at 3 mm in all directions.

OBJECTIVE: To analyze the disease burden of pelvic fractures at the global, regional, and national levels from 1990 to 2023 using data from the 2023 Global Burden of Disease Study (GBD), and to predict the disease burden through 2050. METHODS: Leveraging data from the GBD 2023, this study investigated the disease burden of pelvic fractures across 204 countries and regions. Assessment indicators included incidence rate, prevalence rate, and years lived with disability (YLDs). The Joinpoint regression model was employed to analyze trends in pelvic fracture burden from 1990 to 2023, while the average annual percentage change (AAPC) was used to quantify this temporal trend. The relationship between the socio-demographic index and pelvic fracture burden was evaluated. Furthermore, the long short-term memory (LSTM) model was applied to predict trends in pelvic fracture burden through 2050. RESULTS: In 2023, the estimated number of new pelvic fracture cases globally was 7 479 884 [95% uncertainty interval ( UI): 5 293 401-10 611 876], representing a 42.74% increase from 1990. In the same year, the number of prevalent pelvic fracture cases and YLDs were 23 007 508 (95% UI: 21 021 518-25 327 165) and 3 909 228 person-years (95% UI: 2 725 498-5 194 385), respectively. Additionally, age-standardized rates exhibited an opposing downward trend. Significant disparities in the disease burden of pelvic fractures were identified across different age groups, genders, and social contexts. According to predictions from the LSTM model, the global age-standardized incidence rate (ASIR) of pelvic fractures will be approximately 88.44 per 100 000 persons by 2050, while the total number of incident cases will rise to 8 547 095. CONCLUSION Although the overall incidence rate, prevalence rate, and YLDs of pelvic fractures have exhibited an upward trend over the past three decades, the ASIR, age-standardized prevalence rate (ASPR), and age-standardized years of life lost rate (ASYR) have shown a downward trend. It is predicted that over the upcoming 26-year period, the age-standardized rate of disease burden due to pelvic fractures will further decrease, while the number of incident cases and prevalent cases will continue to exhibit an upward trend. Formulating more targeted disease prevention strategies is critical to addressing disparities across genders, regions, and other dimensions, and to mitigating the burden of pelvic fractures.
Humans ; Fractures, Bone/epidemiology* ; Pelvic Bones/injuries* ; Male ; Female ; Middle Aged ; Adult ; Incidence ; Prevalence ; Aged ; Global Burden of Disease/trends* ; Global Health ; Adolescent ; Cost of Illness ; Young Adult ; Forecasting ; Disability-Adjusted Life Years ; Memory, Short-Term

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Objective To establish a classification tree model for non-alcoholic fatty liver disease(NAFLD)among aircrews,screen for influencing factors of NAFLD,so as to provide scientific basis for prevention and intervention decisions for NAFLD.Methods Aircrews who underwent recuperation at a sanatorium from January 2019 to December 2023 were selected as the research objects.Their annual physical examination data were collected and the NAFLD detection rate was calculated.Age,body mass index(BMI),blood pressure,waist circumference,blood routine,biochemistry indexes,and thyroid function were incorporated,and a NAFLD risk model was constructed using classification regression tree method.The predictive performance of the NAFLD classification tree model was evaluated through model misclassification matrix,risk statistics,and receiver operating characteristic curve.Results A total of 4088 aircrews were included in the study,and NAFLD was detected in 380 persons(380/4088,9.30%).The NAFLD model consisted of three layers,and five explanatory variables affecting the onset of NAFLD were extracted,including BMI,triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),alanine aminotransferase(ALT),and total bilirubin(TBIL).BMI was located at the top of the classification tree and was the most important risk factor for NAFLD in aircrews.The area under the curve(AUC)of the model was 0.853.The predictive accuracy of NAFLD was 90.9%,indicating that the model has good accuracy and fitting effect.Conclusion In this study,the detection rate of NAFLD in aircrews was 9.30%.BMI,TG,HDL-C,ALT,and TBIL are risk factors for the onset of NAFLD.NAFLD is mainly related to weight gain and lipid metabolism disorders caused by unhealthy lifestyles.

Objective:To investigate the pathogenetic characteristics and risk factors of nosocomial infection with multidrug-resistant organisms (MDRO) in trauma patients.Methods:A retrospective case-control study was conducted to analyze the clinical data of 103 trauma patients with nosocomial infection admitted to the 926th Hospital of the Joint Logistics Support Force of the PLA from January 2021 to December 2023, including 84 males and 19 females aged 12-80 years [50(39, 59)years]. The patients were divided into MDRO infection group ( n=36) and non-MDRO infection group ( n=67) according to whether nosocomial MDRO infection occurred. The pathogenetic characteristics of MDRO infection were observed. Univariate analysis was used to compare the two groups in terms of their demographic characteristics (gender, age), comorbidities (hypertension, diabetes mellitus), injuries [multiple injuries, open injuries, injury severity score (ISS)], laboratory indicators (hemoglobin, leukocytes) on admission, and other treatment data (emergency admission to the healthcare facility, transferal, length of hospital stay before diagnosis of infection, number of surgeries before diagnosis of infection, blood transfusion before diagnosis of infection, tracheotomy/tracheal intubation before diagnosis of infection). Logistic regression analysis was used to screen the independent risk factors for nosocomial MDRO infection in trauma patients. Results:A total of 52 MDRO strains were detected, including 17 Gram-positive (33%) and 35 Gram-negative (67%) ones, with the top 5 strains being Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii, Klebsiella pneumoniae, and Staphylococcus epidermidis, respectively. The specimen source with the most detected MDRO strains was wound/incision secretion, followed by sputum. The results of the univariate analysis showed statistically significant differences in ISS and hemoglobin on admission between two groups ( P<0.05); however, no statistically significant differences were observed in gender, age, hypertension, diabetes mellitus, multiple injuries, open injuries, leukocytes on admission, emergency admission to the healthcare facility, transferal, length of hospital stay before diagnosis of infection, number of surgeries before diagnosis of infection, blood transfusion before diagnosis of infection, or tracheotomy/tracheal intubation before diagnosis of infection ( P>0.05). The results of the multivariate Logistic regression analysis showed that male gender ( OR=5.01, 95% CI 1.09, 23.08, P<0.05), age ( OR=1.03, 95% CI 1.00, 1.07, P<0.05), multiple injuries ( OR=5.28, 95% CI 1.04, 26.87, P<0.05), hemoglobin on admission ( OR=0.97, 95% CI 0.95, 0.99, P<0.05), and length of hospital stay before diagnosis of infection ( OR=1.06, 95% CI 1.01, 1.11, P<0.05) were significantly associated with the occurrence of nosocomial MDRO infection in trauma patients. Conclusions:In trauma patients, nosocomial MDRO infection pathogens were predominantly Gram-negative and the top five strains are Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii, Klebsiella pneumoniae and Staphylococcus epidermidis, respectively. Male gender, age, multiple injuries, hemoglobin on admission and length of hospital stay before diagnosis of infection are independent risk factors for the occurrence of nosocomial MDRO infection in trauma patients.

Objective To investigate the characteristics and correlation between peak oxygen uptake(VO?peak)and heart rate recov-ery(HRR)during cardiopulmonary exercise test(CPET)in patients with coronary borderline lesions.Methods From January,2022 to January,2024,183 patients with coronary borderline lesions in Beijing Bo'ai Hospital were divided into low cardiorespiratory fitness(LCF)group(n=61),moderate cardiorespiratory fitness(MCF)group(n=62)and high cardiorespiratory fitness(HCF)group(n=60)based on VO?peak.Their characteristics and CPET parameters including VO?peak,exercise-phase heart rate(HR1,HR2,HR3),and post-exercise heart rate recovery(HRR1,HRR2,HRR3)were analyzed.Results After adjusting for age and body mass index,analysis of covariance showed that the peak heart rate,HR1,HR2 and HR3 were the lowest in LCF group(F>5.388,P<0.01).Repeated-measures analysis of variance showed that the inter-and intra-group effects were significant in HRR(F>14.561,P<0.001).Partial correlation analy-sis showed that VO?peak positively correlated with HRR1(r=0.404,P<0.001),HRR2(r=0.379,P<0.001)and HRR3(r=0.425,P<0.001).Conclusion In patients with coronary artery borderline lesions,VO?peak demonstrated a significant inverse correlation with HRR,the lower the VO?peak,the more delays of HRR.