Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:To observe the clinical efficacy of laparoscopic non mesh vaginal sacral fixation(LSC)in the treatment of pelvic organ prolapse(POP)patients with mainly middle pelvic defects.Methods:55 cases of laparoscopic non mesh LSC patients with POP with mainly middle pelvic defects were selected from August 2019 to February 2023 at Liuzhou Hospital of Guangzhou Women and Children's Medical Center.The surgical condition of POP patients were observed.Patients were followed up after surgery,the position and recurrence of the anterior vaginal wall(Ba)point,posterior vaginal wall(Bp)point,and vaginal apex(C)point in POP patients before and after surgery were observed.The preoperative and postoperative pelvic floor dysfunction questionnaire scores of POP patients treated by laparoscopic non mesh LSC were compared.And the occurrence of short-term and long-term complications in POP patients after surgery were observed.Results:Among the 55 POP patients with laparoscopic non mesh LSC,11 underwent bilateral adnexectomy,3 underwent bilateral salpingectomy,55 underwent anterior vaginal wall repair,28 underwent posterior vaginal wall repair,2 underwent paravaginal repair,and 28 underwent perineal laceration repair.Additionally,2 underwent tension free mid urethral suspension via the pubic posterior vaginal wall,and 3 underwent mid urethral folding.The average duration of the surgery was(197.8±48.7)minutes,and the intraoperative blood loss was 50(30,50)mL.The postoperative indwelling time of the urinary catheter was 2.0(1,3)days,the postoperative residual urine volume was 6(0,11)mL,and the hospital stay was 10(8,12)days.Among the 55 POP patients,all surgeries were successful,with a success rate of 100％.The follow-up period ended in September 2024,with an average follow-up time of(42.14±11.37)months.2 cases were lost to follow-up,and 53 patients were successfully followed up,including 48 outpatient follow-up patients and 5 telephone follow-up patients.Among the 48 outpatient follow-up patients,1 case had a recurrence of the anterior vaginal wall,with a recurrence rate of 2.08％(1/48).The patient did not undergo anterior vaginal wall repair during surgery,and after surgery,the patient felt that there was a mass protruding from the vagina.However,the symptoms improved on their own after rest,and no further surgery was performed.The comparison of Ba points,C points,and Bp points before and after surgery in 48 outpatient follow-up patients showed statistically significant differences(P＜0.05).The comparison of preoperative and postoperative pelvic organ prolapse distress inventory(POPDI),Urogenital distress inventory(UDI),and Pelvic Floor Distress Inventory-short From-20(PFDI-20)scores among 53 POP patients showed statistically significant differences(P＜0.05),there was no statistically significant difference in preoperative and postoperative colorectal-anal distress inventory(CRADI)scores among the 53 POP patients(P＞0.05).There were a total of 11 cases of postoperative complications in 55 POP patients,including 1 case of enteritis,2 cases of urinary tract infections,1 case of bladder injury,1 case of lower back pain,pelvic pain,and difficulty defecation,and 5 cases of newly developed urinary incontinence.The incidence of complications was 20.00％(11/55).The long-term follow-up results of POP patients showed that 4 patients had no sexual activity after surgery,and 49 patients resumed sexual activity after surgery,among them,47 patients reported an improvement in their sexual experience compared to before surgery,accounting for 95.92％(47/49).Two patients were unable to have normal sexual activity due to painful intercourse,accounting for 4.08％(2/49).Conclusion:Laparoscopic non mesh LSC treatment for POP patients with mainly middle pelvic defects has a high success rate,few complications,good short-term and long-term follow-up effects,and can significantly improve pelvic floor dysfunction symptoms.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To observe the clinical efficacy of laparoscopic non mesh vaginal sacral fixation(LSC)in the treatment of pelvic organ prolapse(POP)patients with mainly middle pelvic defects.Methods:55 cases of laparoscopic non mesh LSC patients with POP with mainly middle pelvic defects were selected from August 2019 to February 2023 at Liuzhou Hospital of Guangzhou Women and Children's Medical Center.The surgical condition of POP patients were observed.Patients were followed up after surgery,the position and recurrence of the anterior vaginal wall(Ba)point,posterior vaginal wall(Bp)point,and vaginal apex(C)point in POP patients before and after surgery were observed.The preoperative and postoperative pelvic floor dysfunction questionnaire scores of POP patients treated by laparoscopic non mesh LSC were compared.And the occurrence of short-term and long-term complications in POP patients after surgery were observed.Results:Among the 55 POP patients with laparoscopic non mesh LSC,11 underwent bilateral adnexectomy,3 underwent bilateral salpingectomy,55 underwent anterior vaginal wall repair,28 underwent posterior vaginal wall repair,2 underwent paravaginal repair,and 28 underwent perineal laceration repair.Additionally,2 underwent tension free mid urethral suspension via the pubic posterior vaginal wall,and 3 underwent mid urethral folding.The average duration of the surgery was(197.8±48.7)minutes,and the intraoperative blood loss was 50(30,50)mL.The postoperative indwelling time of the urinary catheter was 2.0(1,3)days,the postoperative residual urine volume was 6(0,11)mL,and the hospital stay was 10(8,12)days.Among the 55 POP patients,all surgeries were successful,with a success rate of 100％.The follow-up period ended in September 2024,with an average follow-up time of(42.14±11.37)months.2 cases were lost to follow-up,and 53 patients were successfully followed up,including 48 outpatient follow-up patients and 5 telephone follow-up patients.Among the 48 outpatient follow-up patients,1 case had a recurrence of the anterior vaginal wall,with a recurrence rate of 2.08％(1/48).The patient did not undergo anterior vaginal wall repair during surgery,and after surgery,the patient felt that there was a mass protruding from the vagina.However,the symptoms improved on their own after rest,and no further surgery was performed.The comparison of Ba points,C points,and Bp points before and after surgery in 48 outpatient follow-up patients showed statistically significant differences(P＜0.05).The comparison of preoperative and postoperative pelvic organ prolapse distress inventory(POPDI),Urogenital distress inventory(UDI),and Pelvic Floor Distress Inventory-short From-20(PFDI-20)scores among 53 POP patients showed statistically significant differences(P＜0.05),there was no statistically significant difference in preoperative and postoperative colorectal-anal distress inventory(CRADI)scores among the 53 POP patients(P＞0.05).There were a total of 11 cases of postoperative complications in 55 POP patients,including 1 case of enteritis,2 cases of urinary tract infections,1 case of bladder injury,1 case of lower back pain,pelvic pain,and difficulty defecation,and 5 cases of newly developed urinary incontinence.The incidence of complications was 20.00％(11/55).The long-term follow-up results of POP patients showed that 4 patients had no sexual activity after surgery,and 49 patients resumed sexual activity after surgery,among them,47 patients reported an improvement in their sexual experience compared to before surgery,accounting for 95.92％(47/49).Two patients were unable to have normal sexual activity due to painful intercourse,accounting for 4.08％(2/49).Conclusion:Laparoscopic non mesh LSC treatment for POP patients with mainly middle pelvic defects has a high success rate,few complications,good short-term and long-term follow-up effects,and can significantly improve pelvic floor dysfunction symptoms.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To develop and implement a drug treatment pathway for the initial treatment of diffuse large B-cell lymphoma(DLBCL)and to provide a foundation for refined medication use and cost control management under the Diagnosis Related Groups(DRG)payment system.Methods Clinical pharmacists collaborated to develop a drug treatment pathway for the initial treatment of DLBCL,utilizing evidence-based medicine and evidence-based pharmacy principles.The PDCA(Plan-Do-Check-Act)cycle method was employed for administrative intervention.The hematology department served as a pilot unit to assess the impact on economic indicators,including inpatient costs,drug expenses,and DRG payment balance,as well as treatment efficacy and the incidence of adverse reactions.Results Compared to the control group,the RG13 intervention group exhibited a significant reduction in average total hospitalization costs and drug expenses,along with a decreased DRG payment balance deficits.All differences were statistically significant(P＜0.05).Conclusion The development and implementation of a drug treatment pathway for the initial treatment of DLBCL can effectively reduce treatment costs,prevent DRG overspending,and alleviate the economic burden on patients,while ensuring the safety and effectiveness of the treatment.

Objective To develop and implement a drug treatment pathway for the initial treatment of diffuse large B-cell lymphoma(DLBCL)and to provide a foundation for refined medication use and cost control management under the Diagnosis Related Groups(DRG)payment system.Methods Clinical pharmacists collaborated to develop a drug treatment pathway for the initial treatment of DLBCL,utilizing evidence-based medicine and evidence-based pharmacy principles.The PDCA(Plan-Do-Check-Act)cycle method was employed for administrative intervention.The hematology department served as a pilot unit to assess the impact on economic indicators,including inpatient costs,drug expenses,and DRG payment balance,as well as treatment efficacy and the incidence of adverse reactions.Results Compared to the control group,the RG13 intervention group exhibited a significant reduction in average total hospitalization costs and drug expenses,along with a decreased DRG payment balance deficits.All differences were statistically significant(P＜0.05).Conclusion The development and implementation of a drug treatment pathway for the initial treatment of DLBCL can effectively reduce treatment costs,prevent DRG overspending,and alleviate the economic burden on patients,while ensuring the safety and effectiveness of the treatment.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.