This study aims to isolate and identify the Pasteurella multocida(Pm)that caused re-spiratory infections in cattle at a farm in Beijing,and to clarify the biological characteristics of the pathogen,including its serotype,drug resistance,pathogenicity,and genomic features.For this pur-pose,nasopharyngeal swabs and tissue samples were collected from an infected cow for bacterial i-solation and purification,16S rRNA gene amplification,capsular serotyping,virulence gene detec-tion,and whole-genome sequencing of the isolated strain.The results showed that after bacterial i-solation and purification,biochemical tests,and PCR identification,a type A P.multocida strain named"Pm WZ01"was identified.The virulence gene amplification revealed that the Pm WZ01 ge-nome contained the tadD,nanH,ompA,exbB,exbD,and fur genes.Whole-genome sequencing determined that the Pm WZ01 strain had a genome size of 2 383 021 bp with a GC content of 40.28％,containing 56 tRNAs,19 rRNAs,155 pseudogenes,three genomic islands,five prophages,and 55 carbohydrate-active enzyme genes.CARD annotation analysis found one PBP3 resistance gene and two EF-Tu resistance genes.VFDB and PHI-base annotation analysis identified 582 viru-lence factor-related genes and 888 phenotypic mutation genes,etc.Phylogenetic tree analysis revealed that the Pm WZ01 strain is most closely related to the Pm-3 strain(CP014618.1)from Changchun,China,the P1933 strain(CP132898.1)from the UK,and the HB01 strain(CP006976.1)from Hubei,China,belonging to the same clade.This study completed the isolation and identifica-tion of a type A P.multocida strain as well as the analysis of its biological characteristics and whole-genome sequencing,providing a theoretical basis for the prevention and control research of bovine type A P.multocida disease.

Objective:To investigate the interaction of risk factors for diabetic retinopathy (DR) occurrence.Methods:A cross-sectional study was performed.A total of 6 783 diabetic patients with complete survey data from 2005 to 2018 in the National Health and Nutrition Survey database were enrolled, among which 4 426 patients were included according to inclusion criteria and were divided into non-DR diabetes group of 3 491 cases and DR group of 935 cases.The related risk factors were collected, including age, gender, race, residential status, education, annual household income, body mass index (BMI), fasting glucose, glycosylated hemoglobin, duration of diabetes, family history of diabetes, comorbidities, smoke, alcohol use, sleep, physical activity.Patient Health Questionnaire (PHQ-9) was used to assess the psychological status.After the categorization of all variables, risk factors of DR were analyzed by logistic regression, and the interaction between factors was further analyzed.Results:Multivariate analysis showed that female[odds ratio ( OR)=1.33, 95% confidence interval ( CI): 1.02-1.72], duration of diabetes ≥10 years ( OR=1.03, 95% CI: 1.02-1.04), insulin therapy ( OR=2.38, 95% CI: 1.87-3.05), urinary albumin creatinine ratio (UACR) ≥30 mg/g ( OR=1.55, 95% CI: 1.22-1.96) and depression ( OR=1.44, 95% CI: 1.13-1.83) were risk factors for DR, and BMI≤28 kg/m 2 ( OR=0.70, 95% CI: 0.55-0.89) was a protective factor for DR.Furthermore, interaction analysis revealed additive interaction between UACR ≥30 mg/g and insulin therapy [relative excess risk due to interaction ( RERI)=2.46, 95% CI: 0.84-4.09, attributable proportion due to interaction ( AP)=0.44, 95% CI: 0.26-0.63, synergy index ( S)=2.16, 95% CI: 1.37-3.41).The UACR ≥30 mg/g and longer diabetic duration ≥10 years had both multiplicative ( OR=1.67, 95% CI: 1.00-2.76) and additive interactions ( RERI=2.02, 95% CI: 0.79-3.25, AP=0.47, 95% CI: 0.27-0.66, S=2.53, 95% CI: 1.37-4.68). Conclusions:Patients with diabetes treated with insulin, with a duration of diabetes ≥10 years and accompanied by UACR ≥30 mg/g are at higher risk of developing DR than those with a single risk factor.

Objective:To investigate the interaction of risk factors for diabetic retinopathy (DR) occurrence.Methods:A cross-sectional study was performed.A total of 6 783 diabetic patients with complete survey data from 2005 to 2018 in the National Health and Nutrition Survey database were enrolled, among which 4 426 patients were included according to inclusion criteria and were divided into non-DR diabetes group of 3 491 cases and DR group of 935 cases.The related risk factors were collected, including age, gender, race, residential status, education, annual household income, body mass index (BMI), fasting glucose, glycosylated hemoglobin, duration of diabetes, family history of diabetes, comorbidities, smoke, alcohol use, sleep, physical activity.Patient Health Questionnaire (PHQ-9) was used to assess the psychological status.After the categorization of all variables, risk factors of DR were analyzed by logistic regression, and the interaction between factors was further analyzed.Results:Multivariate analysis showed that female[odds ratio ( OR)=1.33, 95% confidence interval ( CI): 1.02-1.72], duration of diabetes ≥10 years ( OR=1.03, 95% CI: 1.02-1.04), insulin therapy ( OR=2.38, 95% CI: 1.87-3.05), urinary albumin creatinine ratio (UACR) ≥30 mg/g ( OR=1.55, 95% CI: 1.22-1.96) and depression ( OR=1.44, 95% CI: 1.13-1.83) were risk factors for DR, and BMI≤28 kg/m 2 ( OR=0.70, 95% CI: 0.55-0.89) was a protective factor for DR.Furthermore, interaction analysis revealed additive interaction between UACR ≥30 mg/g and insulin therapy [relative excess risk due to interaction ( RERI)=2.46, 95% CI: 0.84-4.09, attributable proportion due to interaction ( AP)=0.44, 95% CI: 0.26-0.63, synergy index ( S)=2.16, 95% CI: 1.37-3.41).The UACR ≥30 mg/g and longer diabetic duration ≥10 years had both multiplicative ( OR=1.67, 95% CI: 1.00-2.76) and additive interactions ( RERI=2.02, 95% CI: 0.79-3.25, AP=0.47, 95% CI: 0.27-0.66, S=2.53, 95% CI: 1.37-4.68). Conclusions:Patients with diabetes treated with insulin, with a duration of diabetes ≥10 years and accompanied by UACR ≥30 mg/g are at higher risk of developing DR than those with a single risk factor.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

The 2024 American Society of Clinical Oncology(ASCO)Annual Meeting was held in Chicago,the United States,from May 31 to June 4 in 2024.In recent years,antibody-drug conjugates(ADCs)have become one of the most popular targeted therapies because of their high specificity,efficacy,and low toxicity,making them a focal point in this ASCO meeting.Currently,over 100 ADCs are under investigation,demonstrating the considerable development potential of ADCs in the field of targeted cancer therapy.The aforementioned conference reported several recent research advancements regarding ADCs for the treatment of breast cancer(BC).This review summarizes the latest progress of ADCs in BC treatment discussed at the confer-ence.

Background:To compare the efficacy and safety of monthly administrations of gonadotropin releasing hormone (GnRH) agonists LY01005 and Zoladex ? in Chinese patients with premenopausal breast cancer. Methods:From October 2020 to November 2021, 188 premenopausal breast cancer patients were enrolled in 34 hospitals and randomized 1:1 to receive either LY01005 or Zoladex ? every 28 days for a total of three injections. All patients concomitantly received oral tamoxifen (TAM). The primary efficacy endpoint was cumulative probability of maintaining menopausal level [oestradiol (E2) ≤30 pg/ml] from day 29 to day 85. The second efficacy endpoint included changes in E2, luteinizing hormone (LH), and follicle-stimulating hormone (FSH) compared with the baseline. Pharmacokinetics (PK), pharmacodynamics (PD), and safety were analyzed. The study also evaluated the pharmacokinetic and pharmacodynamic characteristics of LY01005. Results:A total of 188 patients were randomised and 187 patients received either LY01005 or Zoladex ?. Cumulative probabilities of maintaining menopausal level (E2≤30 pg/ml) from day 29 to day 85 were 93.1% for LY01005 and 86.3% for Zoladex ?. The between-group difference was 6.8% (95% CI: -2.3%, 15.9%) and primary efficacy in the LY01005 group was not inferior to that in the Zoladex ? group. Changes in E2, LH, and FSH levels compared with the baseline were equivalent between the two groups (E2: 89.34% to 90.23% vs. 82.11% to 85.02%; LH: 88.89% to 95.52% vs. 89.70% to 97.02%; FSH: 75.36% to 80.85% vs.73.07% to 80.24%, respectively). After three consecutive doses of LY01005, the LH and FSH levels of the subjects showed a transient increase after the first dose, reached a peak on the second day and then started to decrease. The LH and FSH reached a lower level and remained at or below that level until the 85th day. Both treatments were well-tolerated. Conclusion:LY01005 is as effective as Zoladex ? in suppressing E2 to menopausal levels in Chinese patients with premenopausal breast cancer, with a similar safety profile.

Objective To explore the related factors of postoperative nutritional risk in elderly patients with proximal femoral nail anti rotation(PFNA)internal fixation and establish a prediction model of malnutrition.Methods A total of 574 elderly patients who underwent PFNA internal fixation in the First Medical Center of Chinese PLA General Hospital from January 2021 to June 2024 were included and divided into malnutrition group(n=389)and good nutrition group(n=185).The differences in 39 indicators in aspects of physiological,psychological,social,economic,environmental and medical fields were compared between the 2 groups.Logistic analysis was used to screen the nutritional risk factors,and then a nomogram model was constructed based on these factors.Results Advanced age,lower BMI,higher postoperative Self-Rating Anxiety Scale(SAS)score,less exercise before fracture,being farmers,higher economic pressure,lower preoperative albumin,preprotein and hemoglobin,and lower Barthel index before fracture were independent risk factors for nutritional risk in patients undergoing PFNA internal fixation(P＜0.05).The nomogram prediction model based on the above factors had an AUC value of 0.995(95％CI:0.987～1.000)in predicting the risk of malnutrition in these patients.When the threshold probability＞0.02,this model could be clinically beneficial in predicting the risk of postoperative malnutrition in patients after PFNA internal fixation.Conclusion Our nutritional risk prediction model based on age,BMI,economic pressure,pre-fracture exercise and preoperative albumin and other indicators is constructed for the elderly patients after PFNA internal fixation,and the model has high accuracy and clinical application value.

Objective To investigate the value of artificial intelligence iterative reconstruction(AIIR)in preoperative low-dose CT of ovarian tumor.Methods Seventy patients with ovarian tumor were prospectively enrolled.Routine-dose(120 kVp,200 mAs)and low-dose(120 kVp,40 mAs)contrast-enhanced abdominopelvic CT scanning at portal venous phase were sequentially performed.The routine-dose images were reconstructed with hybrid iterative reconstruction(HIR)(group A),while low-dose images were reconstructed with HIR(group B)and AIIR(group C),respectively.Subjective and objective evaluation of image quality were compared among groups,and the diagnostic accuracy of peripheral organ invasion and peritoneal metastasis based on group A,B and C,as well as radiation dose of routine-and low-dose scanning were recorded.Results In group B,A and C,the subjective scoring of definition of tumor margin and septation,boundary between tumor and surrounding organ,as well as the signal-to-noise ratio and contrast-to-noise ratio of ovarian tumor and psoas muscles,increased successively(all P＜0.017).No significant difference of subjective scoring of tumor feeding vessel clarity was found between group A and C(P=0.435),which were both higher than that in group B(P＜0.017).The accuracy for diagnosing peripheral organ invasion based on group A,B and C was 83.87％ (52/62),72.58％ (45/62)and 83.87％ (52/62),for diagnosing peritoneal metastasis was 85.71％ (60/70),78.57％ (55/70)and 84.29％ (59/70),respectively.Compared to routine-dose CT,the effective dose of low-dose CT was reduced by 79.70％ (2.60 mSv vs.12.81 mSv,P＜0.001).Conclusion AIIR could improve image quality and metastasis diagnostic efficacy in low-dose CT of ovarian tumors.

The 2024 American Society of Clinical Oncology(ASCO)Annual Meeting was held in Chicago,the United States,from May 31 to June 4 in 2024.In recent years,antibody-drug conjugates(ADCs)have become one of the most popular targeted therapies because of their high specificity,efficacy,and low toxicity,making them a focal point in this ASCO meeting.Currently,over 100 ADCs are under investigation,demonstrating the considerable development potential of ADCs in the field of targeted cancer therapy.The aforementioned conference reported several recent research advancements regarding ADCs for the treatment of breast cancer(BC).This review summarizes the latest progress of ADCs in BC treatment discussed at the confer-ence.

Objective To analyze the influencing factors of tumor-specific mortality in patients with advanced endometrial carcinoma and construct a risk prediction model.Methods A total of 150 patients with advanced endometrial carcinoma admitted to the Fourth Clinical College of Zhejiang Chinese Medical University,Hangzhou First People's Hospital from January 2020 to January 2023 were selected as subjects.Cox regression was employed to analyze factors influencing mortality in advanced endometrial carcinoma.A Logistic regression model was constructed,with receiver operating characteristic(ROC)curve used to evaluate model discrimination,calibration curve for precision assessment,and decision curve for net benefit evaluation.Results Overall 2-year survival rate of 150 patients was 58.67％.The univariate analysis demonstrated that histological grade,lymph node metastasis,tumor maximum diameter,and preoperative carcinoembryonic antigen 125(CA125)levels were all significant risk factors for mortality in advanced endometrial carcinoma(P＜0.05).Multivariate analysis confirmed these parameters as independent prognostic indicators(P＜0.05).A Logistic regression model established using multivariate Cox regression yielded a C index of 0.873(95％CI:0.792-0.951).ROC curve analysis revealed the model's area under the curve for predicting mortality risk factors in advanced endometrial carcinoma was 0.916(95％CI:0.872-0.960).Conclusion The linear chart prediction model constructed based on histological grading,lymph node metastasis,maximum tumor diameter and preoperative CA125 level in this study can effectively predict the death of advanced endometrial carcinoma.