Objective: To investigate the current status of latent tuberculosis infection (LTBI) among freshmen in junior and senior high schools in Lanzhou, so as to provide scientific basis for improving the tuberculosis prevention and control strategy in schools. Methods: The screening results of 74 516 freshmen in senior and boarding junior high schools in Lanzhou during 2023 and 2024 were collected. The Chi square test and multivariate Logistic regression model were applied to analyze LTBI level, strongly positive risk for tuberculin skin test (TST) and related factors of the freshmen. Results: During 2023 and 2024, the screening rate of tuberculosis among freshmen in senior and boarding junior high schools in Lanzhou was 93.45%, of which the positive rate for TST was 5.71%, the infection rate for LTBI was 3.80%, and the strongly positive rate for TST was 1.24%. There were statistically significant differences in the screening rate of tuberculosis among freshmen in different years, grades, regions, school types and districts ( χ 2=5.34, 2 463.88, 3 516.13, 132.34, 4 436.56, all P <0.05). Multivariate Logistic regression analysis showed that senior high schools ( OR =1.62, 2.18) and urban areas ( OR =2.08, 3.07 ) were all related factors for LTBI and strong positivity for TST among freshmen; schools located in Xigu District, Honggu District, Yongdeng County, Yuzhong County, and Lanzhou New Area ( OR =3.57, 5.67, 9.12, 3.70, 3.64) were related factors of strong positivity for TST among freshmen (all P <0.05). Conclusions The LTBI level among freshmen in senior and boarding junior high schools in Lanzhou is relatively low. Grades and regions are related factors for LTBI and strong positivity for TST.

Placenta，fetal heart and brain affect each other in the process of fetal growth. They are influenced by genetic，environmental，epigenetic and hemodynamic factors，and share several key developmental pathways. Fetal heart defect in ongenital heart disease（CHD）is associated with abnormal development of placenta and brain. One-stop-shop ‘heart-brain-placenta’ imaging is of great value in prenatal diagnosis of CHD fetuses. This review discusses the current research on the one-stop-shop ‘heart-brain-placenta’ imaging of CHD fetuses.

In July 2024,the Diagnosis Related Groups(DRG)2.0 is released based on the Notice from the National Healthcare Security Administration on Issuing the DRG 2.0 and Deepening the Relevant Work.Compared with DRG 1.1,version 2.0 was established based on a wider range of suggestions regarding the Adjacent Diagnosis Related Groups(ADRG),Major Comorbidity or Complication(MCC),and Comorbidity or Complication(CC)from various institutions.A list of disease diagnoses and surgical operations that are not used as grouping rules was compiled,and grouping efficacy was further improved by upgrading the algorithms for MCC and CC with the help of AI.Meanwhile,it is necessary to pay more attention to the number of cases of ADRG,the better methods to list the MCC/CC,the suggestions of various doctors and continuously standardize the data and update the grouping scheme of DRG.

Objective:To compare the dosimetric parameters under different incremental modes between intensity-modulated radiation therapy(IMRT)and volume rotation intensity-modulated therapy(VMAT)for the target area of large volume brain metastases(BMs),and to explore the better way of treating BMs based on hypofractionated stereotactic radiotherapy(HSRT)of linear accelerator.Methods:A total of 30 BMs patients who underwent IMRT at The 971th Hospital of Navy of the CPLA from 2020 to 2023 were selected.In the treatment planning system(TPS),three types of IMRT plans and VMAT plans were designed,which included uniformity plan(Planuniformity)of target area dose,uniform increased plan(Planuniform increased-dose)and incremental plan(Planincremental)within target area.In the inside of the target area,the target area of high dose(GTVh)was set,and Planuniform increased-dose and Planincremental were designed to aim at GTVh.The differences of the doses of three types of treatment plans included Planuniformity,Planuniform increased-dose and Planincremental,which were respectively designed by using IMRT and VMAT,were analyzed.The mean dose(Dmean)of the target area,the 50%and 2%exposed doses(D50%and D2%)of the target area were observed and compared.The conformity index(CI),homogeneity index(HI),gradient index(GI),and the volume percentage(V10 Gy-V40 Gy)that normal brain tissue received 10 Gy-40 Gy also were observed and compared.Results:Compared with Planuniformity of IMRT,the Dmean of GTV of Planuniform increased-dose and Planincremental of IMRT increased by 10.13%and 17.9%,with statistically significant differences(t=13.680,12.771,P＜0.05).D50%increased by 8.9%and 10.8%,with statistically significant differences(t=15.190,9.929,P＜0.05).D2%increased by 15.2%and 46.4%,with statistically significant differences(t=52.320,8.746,P＜0.05).There were no statistically significant differences in normal brain tissue V10 Gy-V40 Gy among Planuniformity,Planuniform increased-dose and Planincremental of IMRT(P＞0.05).Compared with Planuniformity of VMAT,the Dmean of GTV of Planuniform increased-dose and Planincremental of VMAT increased by 10.53%and 21.23%,with statistically significant differences(t=18.641,15.461,P＜0.05),and D50%increased by 9.1%and 13.4%,with statistically significant differences(t=11.382,10.952,P＜0.05),and D2%increased by 16.4%and 48.8%,with statistically significant differences(t=56.471,8.685,P＜0.05),respectively.There were no statistically significant differences in normal brain tissue V10 Gy-V40 Gy among Planuniformity,Planuniform increased-dose and Planincremental of VMAT(P＞0.05).The normal brain tissue V20 Gy,V30 Gy and V40 Gy of Planuniform increased-dose and Planincremental of IMRT were respectively less than those of VMAT,and the differences of them between IMRT and VMAT were significant(tPlan uniform increased-dose=2.112,2.215,2.444,tPlan incremental=2.323,2.939,3.145,P＜0.05).There were no statistically significant difference in D2%,Dmean,and D50%between IMRT and VMAT(P＞0.05).Conclusion:On the premise of ensuring the safety of normal brain tissue at the edge of the target area,the synchronously increasing of the central dose of the target area will not significantly increase the dose for normal brain tissue.Both IMRT and VMAT can meet the requirements of increment in the inside of the target area,and VMAT has slightly better increment and higher efficiency within target area.The incremental of VMAT target area is slightly better,which also has better efficiency,while the enhancement effect of the dose of target area of Planincremental is better than that of the Planuniform increased-dose.The Plan incremental of VMAT is more suitable for HSRT treatment for BMs.

Liver transplantation is a crucial treatment for end-stage liver disease,yet its complexity continues to limit clinical application.With the development of the internet and big data,artificial intelligence(AI)technologies have gradually expanded their use in liver transplantation surgery,covering donor liver evaluation,organ allocation,robot-assisted surgery,and postoperative management,demonstrating significant advantages.However,the application of AI also raises a series of ethical issues,notably fairness in resource allocation,conflicts between technical limitations and the principle of non-maleficence,ambiguous responsibility attribution,patient privacy security,and informed consent.This article systematically reviews the current applications of AI in liver transplantation surgery and the related ethical challenges,aiming to provide a reference for its rational use and sustainable development.

Objective:To identify and summarize the best evidence for pelvic floor muscle exercises (PFME) in preventing pelvic floor dysfunction (PFD) during pregnancy.Methods:A systematic search was conducted in databases including UpToData, Cochrane Library, PubMed, Web of Science, Embase, China National Knowledge Infrastructure, VIP, Wanfang Data, SinoMed, Yiigle, and Joanna Briggs Institute Evidence Based Healthcare Center Database and so on. The search spanned from January 1, 2018, to March 16, 2023. Two researchers independently evaluated the quality of clinical decision-making articles, expert consensus, and systematic reviews, while four researchers appraised the quality of guidelines. Evidence extraction and grading were performed independently by two researchers.Results:A total of nine documents were included: three guidelines, two clinical decision-making articles, one expert consensus, and three systematic reviews. A total of 20 evidence-based recommendations were summarized in six categories: indications and contraindications, assessment, implementation plans, supervision and follow-up, management, and outcome evaluation.Conclusions:PFME during pregnancy is effective in preventing PFD. Healthcare providers should integrate best evidence into clinical practice to develop tailored PFME plans for pregnant women, aiming to prevent PFD.

In July 2024,the Diagnosis Related Groups(DRG)2.0 is released based on the Notice from the National Healthcare Security Administration on Issuing the DRG 2.0 and Deepening the Relevant Work.Compared with DRG 1.1,version 2.0 was established based on a wider range of suggestions regarding the Adjacent Diagnosis Related Groups(ADRG),Major Comorbidity or Complication(MCC),and Comorbidity or Complication(CC)from various institutions.A list of disease diagnoses and surgical operations that are not used as grouping rules was compiled,and grouping efficacy was further improved by upgrading the algorithms for MCC and CC with the help of AI.Meanwhile,it is necessary to pay more attention to the number of cases of ADRG,the better methods to list the MCC/CC,the suggestions of various doctors and continuously standardize the data and update the grouping scheme of DRG.

Objective:To construct a data integration platform for oxygen inhalation equipment of suction type,so as to explore its application effect in risk management for the operation of oxygen inhalation equipment of suction type.Methods:The data integration platform for oxygen inhalation equipment of suction type adopted a browser-server(B/S)architecture,with four modules:equipment list,quarterly data confirmation,system settings,and entry for key equipment,which can achieve full-process management for operational risks of oxygen inhalation equipment of suction type.A total of 40 oxygen inhalation equipment of suction type in clinical use of Huashan Hospital of Fudan University from January 2022 to December 2023 were selected.Equipment management from January to December 2022 was set as the pre-application management of the data integration platform of oxygen inhalation equipment of suction type,and the equipment management from January to December 2023 was set as the post-application management of that.The incidence of risk events of equipment,consumed time of emergency management for risk events,standardization scores of equipment management,and control rates for risks of equipment alarm were compared between before and after platform was applied.Results:After the data integration platform was applied,the incidence rates of equipment damage,record loss,and associated infections were respectively 3.85%,4.62%and 6.15%,which were lower than those before it was applied,with statistically significant differences(x2=9.957,11.217,7.386,P<0.05).The consumed times of emergency management for risk events related to safety of equipment power,safety of diagnosis and treatment,biological safety,and radiation safety were respectively(1.02±0.14)h,(1.06±0.15)h,(1.03±0.12)h and(1.15±0.14)h after the data integration platform was applied,all of which were shorter than those before it was applied,with statistically significant differences(t=10.913,9.954,8.917,13.572,P<0.05).The standardization scores of the management for use and operation,disinfection and sterilization,maintenance and upkeep,and fault repair of oxygen inhalation equipment of suction type after the data integration platform was applied were significantly higher than those before it was applied,with statistically significant differences(t=11.787,10.779,10.233,12.561,P<0.05).The average qualification rate of alarm threshold value,and qualification rate of equipment maintenance after the platform was applied were higher than those before it was applied,while the average mute rate of alarm after it was applied was lower than that before it was applied,with statistically significant differences(t=7.064,5.998,15.629,P<0.05).Conclusion:The application of the data integration platform in oxygen inhalation equipment of suction type can improve management capabilities for equipment,and strengthen monitoring and early warning functions for equipment,and reduce operational risks of the equipment after it is applied in the management for oxygen inhalation equipment of suction type.

Objective:To construct a data integration platform for oxygen inhalation equipment of suction type,so as to explore its application effect in risk management for the operation of oxygen inhalation equipment of suction type.Methods:The data integration platform for oxygen inhalation equipment of suction type adopted a browser-server(B/S)architecture,with four modules:equipment list,quarterly data confirmation,system settings,and entry for key equipment,which can achieve full-process management for operational risks of oxygen inhalation equipment of suction type.A total of 40 oxygen inhalation equipment of suction type in clinical use of Huashan Hospital of Fudan University from January 2022 to December 2023 were selected.Equipment management from January to December 2022 was set as the pre-application management of the data integration platform of oxygen inhalation equipment of suction type,and the equipment management from January to December 2023 was set as the post-application management of that.The incidence of risk events of equipment,consumed time of emergency management for risk events,standardization scores of equipment management,and control rates for risks of equipment alarm were compared between before and after platform was applied.Results:After the data integration platform was applied,the incidence rates of equipment damage,record loss,and associated infections were respectively 3.85%,4.62%and 6.15%,which were lower than those before it was applied,with statistically significant differences(x2=9.957,11.217,7.386,P<0.05).The consumed times of emergency management for risk events related to safety of equipment power,safety of diagnosis and treatment,biological safety,and radiation safety were respectively(1.02±0.14)h,(1.06±0.15)h,(1.03±0.12)h and(1.15±0.14)h after the data integration platform was applied,all of which were shorter than those before it was applied,with statistically significant differences(t=10.913,9.954,8.917,13.572,P<0.05).The standardization scores of the management for use and operation,disinfection and sterilization,maintenance and upkeep,and fault repair of oxygen inhalation equipment of suction type after the data integration platform was applied were significantly higher than those before it was applied,with statistically significant differences(t=11.787,10.779,10.233,12.561,P<0.05).The average qualification rate of alarm threshold value,and qualification rate of equipment maintenance after the platform was applied were higher than those before it was applied,while the average mute rate of alarm after it was applied was lower than that before it was applied,with statistically significant differences(t=7.064,5.998,15.629,P<0.05).Conclusion:The application of the data integration platform in oxygen inhalation equipment of suction type can improve management capabilities for equipment,and strengthen monitoring and early warning functions for equipment,and reduce operational risks of the equipment after it is applied in the management for oxygen inhalation equipment of suction type.

Liver transplantation is a crucial treatment for end-stage liver disease,yet its complexity continues to limit clinical application.With the development of the internet and big data,artificial intelligence(AI)technologies have gradually expanded their use in liver transplantation surgery,covering donor liver evaluation,organ allocation,robot-assisted surgery,and postoperative management,demonstrating significant advantages.However,the application of AI also raises a series of ethical issues,notably fairness in resource allocation,conflicts between technical limitations and the principle of non-maleficence,ambiguous responsibility attribution,patient privacy security,and informed consent.This article systematically reviews the current applications of AI in liver transplantation surgery and the related ethical challenges,aiming to provide a reference for its rational use and sustainable development.