Objective To investigate the diagnostic efficacy of targeted biopsy(TB)combined with ipsilateral hemiglandular systematic biopsy(SB)of the dominant lesion,so as to explore a novel reduced-core biopsy strategy.Methods A retrospective analysis was conducted on the clinical data of 299 patients treated in our hospital during Sep.1,2022,and Feb.28,2023,who had a Prostate Imaging Reporting and Data System(PI-RADS)score ≥3 and underwent combined TB and SB.The dominant lesion was defined as the lesion with the highest PI-RADS score on multi-parametric magnetic resonance imaging(mpMRI);in cases of identical scores,the largest was designated as the dominant.SB was categorized as ipsilateral(ipsi-SB)or contralateral(contra-SB)to the dominant lesion.The consistency in detecting clinically significant prostate cancer(csPCa)was compared between TB with ipsi-SB(TB+ipsi-SB),TB with contra-SB(TB+contra-SB),and TB with SB(TB+SB).Subgroup analyses were performed based on PI-RADS score,prostate-specific antigen(PSA)level,prostate volume(PV),and mpMRI lesion distribution to evaluate csPCa detection rates across different variables.Results TB+ipsi-SB demonstrated comparable detection rate to TB+SB(46.2％vs.46.8％).The K values for TB+ipsi-SB and TB+contra-SB relative to TB+SB were 0.987(95％CI:0.969-1.000,P＜0.01)and 0.933(95％CI:0.892-0.974,P＜0.01),respectively.Across all subgroups,TB+ipsi-SB showed the highest agreement with TB+SB.Notably,in subgroups with PI-RADS 3 and 5,PSA＞0-20 ng/mL,PV＜25 mL,bilateral or multiple mpMRI lesions,TB+ipsi-SB achieved complete concordance with TB+SB in csPCa detection[K=1.000(95％CI:1.000-1.000),P＜0.01].Conclusion For patients with PI-RADS score ≥3,TB+ipsi-SB exhibits near-perfect consistency with TB+SB in csPCa detection while requiring fewer biopsy cores.TB+ipsi-SB represents a promising refinement of the TB+SB approach.

With the growing complexity and higher risk of modern warfare,artificial intelligence(AI)technologies have been increasingly used in the field of military medicine.This study investigates the innovative applications of AI in military medicine,focusing on practices in such countries as the United States,Israel and the United Kingdom.The research reveals that AI technologies have been extensively applied in battlefield medical training,casualty status monitoring,medical decision support and unmanned rescue operations.Through virtual reality simulation,intelligent decision support and vital sign monitoring technologies,AI has significantly improved the efficiency and precision of battlefield medical care.Despite challenges related to technological implementation,environmental adaptability and ethical controversies,future battlefield medical care will increasingly rely on unmanned systems and intelligent equipment to deliver efficient medical treatment through human-machine collaboration.

Transcatheter aortic valve replacement (TAVR) has emerged as the first-line treatment for aortic valve stenosis. Coronary obstruction is a severe complication of TAVR, with mortality rates exceeding 30%. Coronary obstruction can be classified as acute or delayed based on the timing of the onset, and as direct or indirect obstruction according to the underlying mechanism. Risk factors for predicting coronary obstruction include a small sinus of Valsalva diameter, excessively long native leaflets, low coronary height, and small sinotubular junction height and diameter. Accurate preoperative assessment of these anatomical parameters using CT is crucial for selecting the appropriate valve type, size, and implantation depth. Preventive technical strategies for coronary obstruction include intraoperative interventional treatments (such as the "Chimney" stenting technique), leaflet modification (such as the BASILICA technique), and alignment of the annulus and coronaries. These techniques have demonstrated significant efficacy in reducing the incidence of coronary obstruction and associated mortality. This paper reviews the epidemiology, classification, and mechanisms of coronary obstruction, with a particular focus on the identification, prevention, and treatment of high-risk patients. The aim is to highlight the importance of recognizing and managing coronary risks during TAVR and to provide actionable recommendations for the prevention and treatment of coronary obstruction in clinical practice.
Humans ; Transcatheter Aortic Valve Replacement/methods* ; Risk Factors ; Aortic Valve Stenosis/surgery* ; Postoperative Complications/prevention & control* ; Coronary Occlusion/etiology*

Objective To address the personalized differences in motion gait between stroke patients and healthy older adults,as well as the issue of abnormal gait recognition,a deep learning fusion-based approach is proposed to effectively improve the accuracy of abnormal gait recognition.Methods A model fusing convolutional neural networks(CNN)and bidirectional long short-term memory networks(BiLSTM)was adopted,with the introduction of a residual network(ResNet).Unilateral ankle joint movement data at different walking speeds within a comfortable range were collected from healthy older adults and stroke patients.Signals from inertial sensors and electromyography sensors were used as inputs,while gait features were analyzed and gait differences between the two groups were compared.The effectiveness of the model was validated by comparing the classification performance of traditional deep learning models and CNN-ResNet-BiLSTM models with different layer combinations in terms of abnormal gait recognition accuracy.Results The CNN-ResNet-BiLSTM model,which introduced residual connectivity,performed excellently in abnormal gait recognition.Compared with traditional deep learning models such as the gated recurrent unit(GRU)and long short-term memory network(LSTM),its prediction accuracy was improved by 13.6％and 8.36％,respectively.Additionally,compared with other model combinations,this model achieved an overall accuracy of 97.78％.Conclusions The algorithm proposed in this study can be applied to stroke-related abnormal gait detection,providing technique support for the early diagnosis and precise monitoring of such diseases.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP

Objective:To report the results of bacterial resistant investigation collaborative system（BRICS）on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023，and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period，11 492 strains of Gram-negative bacteria were collected from 60 hospitals，of which 10 098（87.9%）were Enterobacterales and 1 394（12.1%）were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli（50.0%）， Klebsiella pneumoniae（26.1%）， Pseudomonas aeruginosa（5.1%）， Acinetobacter baumannii complex（5.0%）and Enterobacter cloacae complex（4.1%）. The ESBL-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus mirablilis were 46.8%（2 685/5 741），18.3%（549/2 999）and 44.0%（77/175），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（76/5 741）and 15.0%（450/2 999）；32.9%（25/76）and 78.0%（351/450）of CREC and CRKP were sensitive to ceftazidime/avibactam combination，respectively. 94.7%（72/76）and 90.2%（406/450）of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore，57.9%（44/76）and 79.1%（356/450）were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 64.6%（370/573），while more than 80.0% of CRAB complex was sensitive to tigecycline，eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 17.0%（99/581）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China，with statistically significant differences in the prevalence of CREC，CRKP，CRPA and CRAB complex（ χ2=10.6，28.6，10.8 and 19.3， P<0.05）. The prevalence of ESBL-producing Escherichia coli， CREC，CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals（ χ2=12.5，9.8，12.7 and 57.8，all P<0.01）. Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China，and Escherichia coli is ranked in the top，while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend，CREC infecton maintains a low prevalence level，and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.

Objective:To explore the impact of the two-way referral model on compliance and prognosis in patients with heart failure.Methods:This bidirectional cohort study enrolled chronic heart failure (CHF) patients treated at Qilu Hospital of Shandong University or designated primary hospitals between March 2018 and March 2022. Patients were categorized into two groups based on referral status: two-way referral group (participating in the referral model with≥1 follow-up visit at primary hospitals) and the core hospital group (receiving treatment and follow-up exclusively at Qilu Hospital). Baseline clinical characteristics were collected and compared between groups. Patients underwent followed-up, with primary endpoints including follow-up rate, drug (β-blockers, angiotension converting enzyme inhibitor (ACEI)/angiotensin Ⅱ receptor blockers (ARB)/angiotensin receptor-neprilysin inhibitor (ARNI), sodium-glucose cotransporter 2 inhibitors and mineralocorticoid receptor antagonists) utilization rate and target dose achievement rate. Secondary endpoints encompassed changes from baseline in left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDd), and N-terminal pro-brain natriuretic peptide (NT-proBNP), plus cardiovascular mortality and heart failure rehospitalization. Generalized linear mixed models analyzed longitudinal trends in LVEF, LVEDd, and NT-proBNP levels. Kaplan-Meier curves and Cox regression evaluated LVEF recovery rates, supplemented by subgroup analyses. Multivariate logistic regression was used to identify factors influencing target dose achievement rate for β-blockers and ACEI/ARB/ARNI therapies in CHF patients.Results:A total of 357 patients were enrolled, aged 53 (41, 63) years, including 256 males (71.7%). 157 patients were in the two-way referral group and 200 patients in the core hospital-treated group. Compared with the core hospital-treated group, the two-way referral group had lower baseline LVEF (28 (22, 34)% vs. 31 (23, 36)%, P=0.021) and systolic blood pressure (116 (104, 125) mmHg vs. 121 (109, 134) mmHg (1 mmHg=0.133 kPa), P=0.010). The 12-month follow-up rate of the two-way referral group was higher than the core hospital-treated group (73.8% vs. 56.0%, P=0.004). No significant between-group differences were observed in drug utilization rate of β-blockers, ACEI/ARB/ARNI, or sodium-glucose cotransporter 2 inhibitors during follow-up (all P>0.05), while mineralocorticoid receptor antagonists use showed a declining trend in both groups. Although the core hospital-treated group had higher target dose achievement rates for β-blockers (65.4% vs. 49.3%, P=0.042) and ACEI/ARB/ARNI (79.8% vs. 65.8%, P=0.046) than the two-way referral group, multivariate logistic regression indicated that the two-way referral model was not a negative predictor for these outcomes (all P>0.05). Both groups showed improved NT-proBNP, LVEDd, and LVEF from baseline (all P<0.001) with no significant difference in trends between groups (all P>0.05). There was no significant difference in the composite incidence (7.6% vs. 6.5%, P=0.674) and cumulative incidence (log-rank P=0.684) of cardiovascular death and heart failure rehospitalization at 12 months between two groups. Conclusion:The two-way referral model demonstrates advantages in improving medication adherence, drug utilization rates, and targetdoseachievement rates among CHF patients. This model not only promotes cardiac functional recovery but also reduces risks of cardiovascular mortality and heart failure rehospitalization, achieving comparable therapeutic and management outcomes to those observed in core hospital-treated patients.

Objective To investigate the diagnostic efficacy of targeted biopsy(TB)combined with ipsilateral hemiglandular systematic biopsy(SB)of the dominant lesion,so as to explore a novel reduced-core biopsy strategy.Methods A retrospective analysis was conducted on the clinical data of 299 patients treated in our hospital during Sep.1,2022,and Feb.28,2023,who had a Prostate Imaging Reporting and Data System(PI-RADS)score ≥3 and underwent combined TB and SB.The dominant lesion was defined as the lesion with the highest PI-RADS score on multi-parametric magnetic resonance imaging(mpMRI);in cases of identical scores,the largest was designated as the dominant.SB was categorized as ipsilateral(ipsi-SB)or contralateral(contra-SB)to the dominant lesion.The consistency in detecting clinically significant prostate cancer(csPCa)was compared between TB with ipsi-SB(TB+ipsi-SB),TB with contra-SB(TB+contra-SB),and TB with SB(TB+SB).Subgroup analyses were performed based on PI-RADS score,prostate-specific antigen(PSA)level,prostate volume(PV),and mpMRI lesion distribution to evaluate csPCa detection rates across different variables.Results TB+ipsi-SB demonstrated comparable detection rate to TB+SB(46.2％vs.46.8％).The K values for TB+ipsi-SB and TB+contra-SB relative to TB+SB were 0.987(95％CI:0.969-1.000,P＜0.01)and 0.933(95％CI:0.892-0.974,P＜0.01),respectively.Across all subgroups,TB+ipsi-SB showed the highest agreement with TB+SB.Notably,in subgroups with PI-RADS 3 and 5,PSA＞0-20 ng/mL,PV＜25 mL,bilateral or multiple mpMRI lesions,TB+ipsi-SB achieved complete concordance with TB+SB in csPCa detection[K=1.000(95％CI:1.000-1.000),P＜0.01].Conclusion For patients with PI-RADS score ≥3,TB+ipsi-SB exhibits near-perfect consistency with TB+SB in csPCa detection while requiring fewer biopsy cores.TB+ipsi-SB represents a promising refinement of the TB+SB approach.

Objective To address the personalized differences in motion gait between stroke patients and healthy older adults,as well as the issue of abnormal gait recognition,a deep learning fusion-based approach is proposed to effectively improve the accuracy of abnormal gait recognition.Methods A model fusing convolutional neural networks(CNN)and bidirectional long short-term memory networks(BiLSTM)was adopted,with the introduction of a residual network(ResNet).Unilateral ankle joint movement data at different walking speeds within a comfortable range were collected from healthy older adults and stroke patients.Signals from inertial sensors and electromyography sensors were used as inputs,while gait features were analyzed and gait differences between the two groups were compared.The effectiveness of the model was validated by comparing the classification performance of traditional deep learning models and CNN-ResNet-BiLSTM models with different layer combinations in terms of abnormal gait recognition accuracy.Results The CNN-ResNet-BiLSTM model,which introduced residual connectivity,performed excellently in abnormal gait recognition.Compared with traditional deep learning models such as the gated recurrent unit(GRU)and long short-term memory network(LSTM),its prediction accuracy was improved by 13.6％and 8.36％,respectively.Additionally,compared with other model combinations,this model achieved an overall accuracy of 97.78％.Conclusions The algorithm proposed in this study can be applied to stroke-related abnormal gait detection,providing technique support for the early diagnosis and precise monitoring of such diseases.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP