Objective:To explore the association between macrosomia delivery history and adverse pregnancy outcomes in subsequent pregnancies under different stratification of gestational weight gain(GWG).Methods:A retrospective study was conducted on 500 multiparous women with a history of macrosomia delivery who gave birth at The Second Hospital of Jilin University from January 2020 to November 2023.Meanwhile,1500 multiparous women without a history of delivering macrosomic infants were selected as the control group through 1∶3 matc-hing based on age(±1 year).The differences in general characteristics,GWG,and pregnancy outcomes be-tween the two groups were compared.According to the appropriate GWG values recommended by Chinese health industry standards,pregnant women in both groups were classified into insufficient GWG,appropriate GWG,and excessive GWG.Multivariate Logistic regression analysis was used to compare the relationship be-tween a history of macrosomia delivery and adverse pregnancy outcomes under different GWG stratifications.Re-sults:The History of macrosomia group had significantly higher rates of excessive GWG(50.60%vs.48.13%),incidence of gestational diabetes mellitus(GDM)(23.40%vs.17.07%),rate of cesarean section(60.20%vs.45.33%),and rate of macrosomia(26.60%vs.7.87%)compared to the control group(P<0.05).Multivariate Logistic regression analysis showed that a history of macrosomia delivery was an independent risk factor for GDM,cesarean section,and macrosomia in subsequent pregnancies(aOR>1,P<0.05).Stratified analysis based on GWG revealed that,compared with the control group,regardless of the GWG status,the risk of cesare-an section and macrosomia was higher in women with a history of macrosomia delivery(aOR>1,P<0.05).Mo-reover,for those with a history of macrosomia delivery and excessive weight gain during pregnancy,the risk of preeclampsia(aOR 3.167,P<0.05)and GDM(aOR 1.661,P<0.05)was significantly increased.When the GWG was appropriate for pregnant women with a history of macrosomia delivery,there was no significant correla-tion between a history of macrosomia delivery and preeclampsia or GDM(P>0.05).Conclusions:A history of macrosomia delivery increased the risk of multiple adverse pregnancy outcomes,such as GDM,cesarean section,and macrosomia.For multiparous women at different GWG levels,the risk of cesarean section and macrosomia was significantly increased in those with a history of macrosomia delivery.When GWG was appropriate,a history of macrosomia delivery was not found to be an independent risk factor for preeclampsia and GDM.

This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

OBJECTIVE To construct an evaluation index system for the core competencies of ethics committee members of drug clinical trial institution,providing a basis for optimizing the training system for committee members,improving the quality of ethical review,and fully safeguarding the safety and rights of subjects.METHODS Using methods such as literature research and expert consultation,a preliminary core competency evaluation index system was constructed.The Delphi method was employed to revise and validate it,ultimately forming an evaluation index system for the core competencies of ethics committee members.Based on this system,a questionnaire survey was conducted among 90 ethics committee members from 29 drug clinical trial institutions nationwide,comparing their importance rating and self-assessment scores of the core competency indexes.RESULTS The evaluation system constructed included 4 primary indicators(ethics and professional knowledge,ethics review ability,communication and expression ability,moral integrity and work style)and 39 secondary indicators(familiarity with the content of clinical trial-related laws and regulations,ability to complete project ethics review and identify ethical defects in research protocols within a short period of time,ability to judge the scientific value of clinical research,etc.).The results of questionnaire survey showed that the interviewed ethics committee members had significant capability gaps in dimensions such as regulatory knowledge,ethical norms,review efficiency,risk judgment,and problem analysis.The differences between the importance rating scores of corresponding secondary indicators and the self-assessment scores were all no less than 0.38.CONCLUSIONS This study has developed a quantifiable and stratified core competency assessment tool for ethics committee members.It can provide a scientific framework for committee member training,qualification certification,and standardized management of ethics committees.

Objective:To explore the association between macrosomia delivery history and adverse pregnancy outcomes in subsequent pregnancies under different stratification of gestational weight gain(GWG).Methods:A retrospective study was conducted on 500 multiparous women with a history of macrosomia delivery who gave birth at The Second Hospital of Jilin University from January 2020 to November 2023.Meanwhile,1500 multiparous women without a history of delivering macrosomic infants were selected as the control group through 1∶3 matc-hing based on age(±1 year).The differences in general characteristics,GWG,and pregnancy outcomes be-tween the two groups were compared.According to the appropriate GWG values recommended by Chinese health industry standards,pregnant women in both groups were classified into insufficient GWG,appropriate GWG,and excessive GWG.Multivariate Logistic regression analysis was used to compare the relationship be-tween a history of macrosomia delivery and adverse pregnancy outcomes under different GWG stratifications.Re-sults:The History of macrosomia group had significantly higher rates of excessive GWG(50.60%vs.48.13%),incidence of gestational diabetes mellitus(GDM)(23.40%vs.17.07%),rate of cesarean section(60.20%vs.45.33%),and rate of macrosomia(26.60%vs.7.87%)compared to the control group(P<0.05).Multivariate Logistic regression analysis showed that a history of macrosomia delivery was an independent risk factor for GDM,cesarean section,and macrosomia in subsequent pregnancies(aOR>1,P<0.05).Stratified analysis based on GWG revealed that,compared with the control group,regardless of the GWG status,the risk of cesare-an section and macrosomia was higher in women with a history of macrosomia delivery(aOR>1,P<0.05).Mo-reover,for those with a history of macrosomia delivery and excessive weight gain during pregnancy,the risk of preeclampsia(aOR 3.167,P<0.05)and GDM(aOR 1.661,P<0.05)was significantly increased.When the GWG was appropriate for pregnant women with a history of macrosomia delivery,there was no significant correla-tion between a history of macrosomia delivery and preeclampsia or GDM(P>0.05).Conclusions:A history of macrosomia delivery increased the risk of multiple adverse pregnancy outcomes,such as GDM,cesarean section,and macrosomia.For multiparous women at different GWG levels,the risk of cesarean section and macrosomia was significantly increased in those with a history of macrosomia delivery.When GWG was appropriate,a history of macrosomia delivery was not found to be an independent risk factor for preeclampsia and GDM.

Cardiovascular disease has become a significant cause of death in cancer patients,partly due to the cardiovascular toxicity of cancer treatments.The referral of cardio-oncology can improve the cardiovascular health of cancer patients,and develop strategies for prevention,management,and treatment of cardiovascular toxicity induced by cancer treatment.This article summarizes the strategies and status in the referral of cardio-oncology,and proposes development suggestions for the referral model of cardio-oncology,in order to improve the awareness of medical staffin implementing referral of cardio-oncology and provide a basis for promoting the development of the referral model of cardio-oncology.

Cardiovascular disease has become a significant cause of death in cancer patients,partly due to the cardiovascular toxicity of cancer treatments.The referral of cardio-oncology can improve the cardiovascular health of cancer patients,and develop strategies for prevention,management,and treatment of cardiovascular toxicity induced by cancer treatment.This article summarizes the strategies and status in the referral of cardio-oncology,and proposes development suggestions for the referral model of cardio-oncology,in order to improve the awareness of medical staffin implementing referral of cardio-oncology and provide a basis for promoting the development of the referral model of cardio-oncology.

Objective To investigate the knee disorders and risk factors in electromechanical soldiers of a warship,so as to provide a basis for prevention and treatment measures.Methods The knee disorders and treatment data of 200 electromechanical soldiers(study group)and 200 soldiers from other departments(control group)were colected by questionnaire survey and medical records.Results The incidence of knee diseases was 37.5%(75 cases)in the study group,which was significantly higher than that in the control group(16.0%,32 cases,P＜0.05).Traumatic and degenerative diseases were the main types of knee disorders.Age and body mass index were the influencing factors of knee disorders in electromechanical soldiers.Conclusion There is a high incidence of knee disorders in electromechanical soldiers,which is related to a variety of factors.Appropriate prevention and treatment measures are of great significance to reduce the incidence of knee disorders,promote rapid recovery,and reduce non-combat casualty.

This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

Objective To explore early postoperative gait characteristics and clinical outcomes after total knee arthroplasty(TKA).Methods From February 2023 to July 2023,26 patients with unilateral knee osteoarthritis(KOA)were treated with TKA,including 4 males and 22 females,aged from 57 to 85 years old with an average of(67.58±6.49)years old;body mass in-dex(BMI)ranged from 18.83 to 38.28 kg·m-2 with an average of(26.43±4.15)kg·m-2;14 patients on the left side,12 pa-tients on the right side;according to Kellgren-Lawrence(K-L)classification,6 patients with grade Ⅲ and 20 patients with grade Ⅳ;the courses of disease ranged from 1 to 14 years with an average of(5.54±3.29)years.Images and videos of standing up and walking,walking side shot,squatting and supine kneeling were taken with smart phones before operation and 6 weeks after operation.The human posture estimation framework OpenPose were used to analyze stride frequency,step length,step length,step speed,active knee knee bending angle,stride length,double support phase time,as well as maximum hip flexion angle and maximum knee bending angle on squatting position.Western Ontario and McMaster Universities(WOMAC)arthritis index and Knee Society Score(KSS)were used to evaluate clinical efficacy of knee joint.Results All patients were followed up for 5 to 7 weeks with an average of(6.00±0.57)weeks.The total score of WOMAC decreased from(64.85±11.54)before op-eration to(45.81±7.91)at 6 weeks after operation(P＜0.001).The total KSS was increased from(101.19±9.58)before opera-tion to(125.50±10.32)at 6 weeks after operation(P＜0.001).The gait speed,stride frequency and stride length of the affected side before operation were(0.32±0.10)m·s-1,(96.35±24.18)steps·min-1,(0.72±0.14)m,respectively;and increased to(0.48±0.11)m·s 1,(104.20±22.53)steps·min-1,(0.79±0.10)m at 6 weeks after operation(P＜0.05).The lower limb support time and active knee bending angle decreased from(0.31±0.38)sand(125.21±11.64)° before operation to(0.11±0.04)s and(120.01±13.35)° at 6 weeks after operation(P＜0.05).Eleven patients could able to complete squat before operation,13 patients could able to complete at 6 weeks after operation,and 9 patients could able to complete both before operation and 6 weeks after operation.In 9 patients,the maximum bending angle of crouching position was increased from 76.29° to 124.11° before operation to 91.35° to 134.12° at 6 weeks after operation,and the maximum bending angle of hip was increased from 103.70° to 147.25° before operation to 118.61° to 149.48° at 6 weeks after operation.Conclusion Gait analysis technology based on artificial intelligence image recognition is a safe and effective method to quantitatively identify the changes of pa-tients'gait.Knee pain of KOA was relieved and the function was improved,the supporting ability of the affected limb was im-proved after TKA,and the patient's stride frequency,stride length and stride speed were improved,and the overall movement rhythm of both lower limbs are more coordinated.

Objective To observe the correlation between apparent diffusion coefficient(ADC)of sacroiliac joint and spondyloarthritis research consortium of Canada(SPARCC)score in ankylosing spondylitis(AS)patients with different grade sacroiliac joint inflammation.Methods MR examinations of sacroiliac joint were prospectively performed in 35 AS patients(AS group)and 30 healthy controls(HC group).The grade of sacroiliac joint inflammation and SPARCC score in AS group were evaluated according to MRI findings,and the patients were then further divided into bone marrow oedema(BMO)subgroup(n=19)and non-BMO subgroup(n=16)according to whether BMO presented under articular surface or not,and ADC of sacroiliac joint(ADCsacroiliac)were measured.Receiver operating characteristic curve was drawn,the area under the curve(AUC)was calculated to evaluate the efficacy of ADCsacroiliac for assessing AS sacroiliac joint inflammation grade.Pearson correlation analysis was performed to analyze the correlation between ADCsacroiliac and SPARCC score in AS patients with different grade sacroiliac joint inflammation.Results ADCsacroiliac in BMO subgroup and non-BMO subgroup was(4.85±1.44)×10-4 and(4.30±0.64)×10-4 mm2/s,respectively,being not significantly different(P＞0.05)but both higher than that in HC group([3.32±1.36]×10-4 mm2/s,both P＜0.05).The sensitivity of ADCsacroiliac for assessing grade of sacroiliac joint inflammation in AS patients was 49.44％,51.94％,73.06％and 60.50％,with specificity of 75.00％,78.92％,83.33％and 66.67％,respectively,and AUC of 0.613,0.712,0.837 and 0.645,respectively.ADCsacroiliac was moderately-highly positively correlated with SPARCC score of AS patients with Ⅱ and Ⅲgrade sacroiliac joint inflammation(r=0.580,0.933,both P＜0.05),but no obvious correlation was detected between ADCsacroiliac and SPARCC score of AS patients with Ⅰ or Ⅳ grade sacroiliac joint inflammation(both P＞0.05).Conclusion ADCsacroiliac was positively correlated with SPARCC scores of AS patients with Ⅱ and Ⅲ grade sacroiliac joint inflammation,which could be regarded as a reliable quantitative parameter for monitoring sacroiliac joint BMO.