The importance of gait assessment in the rehabilitation of cancer patients is gradually being recognized. However, quantitative analysis of balance ability in cancer patients is still limited. A total of 102 cancer patients meeting the inclusion criteria were recruited from Hefei Cancer Hospital, Chinese Academy of Sciences. Their balance ability was evaluated using the Berg Balance Scale (BBS). Gait data were collected by an electronic walkway and an IMU sensor system, including spatial-temporal and kinematic gait features such as step length, cadence, support time, and range of motion. Recursive feature elimination was used for feature selection. Ridge, Elastic Net, SVR, RF, and AdaBoost models were used to predict balance ability scores. Five-fold cross-validation was used to evaluate the performance of these models. Results show that the SVR model achieves the best performance with fifteen features (RMSE=3.22, R ²=0.91), followed by Ridge (RMSE=3.63, R ²=0.89). A method for evaluating balance ability based on gait features is proposed, providing a quantitative tool for personalized rehabilitation interventions in cancer patients.
Humans ; Postural Balance ; Neoplasms/rehabilitation* ; Gait ; Gait Analysis ; Biomechanical Phenomena ; Female

With the continuous development of digital technology, three-dimensional (3D) facial scanning technology is becoming more and more widely used in dentistry, where it enhances the precision of various processes of clinical diagnosis and treatment, and provides new perspectives and tools for dental research and application. Nowadays, 3D facial scanning technology meets clinical needs in terms of accuracy, and most facial scanners have an accuracy of 140-1 330 μm, and the 3D facial scanning related applications of smartphones can also meet the clinical application needs to a certain extent. In the clinical field, the 3D scanner can be combined with a variety of technologies to achieve multi-modal data fusion and create virtual patients, and its prediction rate in obstructive sleep apnea hypopnea syndrome is as high as 91%, which has great clinical application value. This article aims to explore the research status, clinical applications, and accuracy analysis of 3D facial scanning techniques in the field of dentistry.

Objective To explore the diagnostic value of the phenomenon of protein-cell separation in cerebrospinal fluid(CSF),as well as the single and combined detections of CSF immunoglobulin G(CSF-IgG),CSF albumin(CSF-ALB)and serum immunoglobu-lin G(S-IgG)for Guillain-Barre syndrome(GBS).Methods A retrospective analysis was conducted on the clinical data of 65 GBS patients(GBS group)and 65 patients with other neurological diseases(non-GBS group).CSF and serum samples were collected from both the groups to analyze the diagnostic efficacy of protein-cell separation phenomenon in CSF,as well as the single and combined de-tections of CSF-IgG,CSF-ALB,and serum-IgG(S-IgG)in GBS.Results CSF protein-cell separation phenomenon was observed in 60.00％(39/65)of GBS patients.Prodromal events were presented in 67.69％(44/65)of GBS patients,which mainly were upper re-spiratory tract infection(43.08％,28/65),digestive tract infection(9.23％,6/65),and herpetic virus infection(7.69％,5/65).The levels of CSF-IgG,CSF-ALB,and S-IgG in the GBS group were significantly higher than those in non-GBS group(P＜0.05).The areas under the ROC curves(AUCROC)for single CSF-IgG,CSF-ALB,S-IgG,protein-cell separation phenomenon IN CSF,and the combination of all the four parameters in diagnosis of GBS were 0.754,0.705,0.682,0.708,and 0.840,respectively.The diagnostic specificities were 87.7％,75.4％,87.7％,81.5％,and 96.9％,respectively.Conclusion Most of the GBS patients were found to have CSF protein-cell separation phenomenon and history of prodromal infection.CSF-IgG,CSF-ALB,S-IgG,and CSF protein-cell separation phenomenon exhibited independent diagnostic value for GBS.The combined detection of the four indicators could improve the diagnostic efficacy for GBS.

Objective To explore the clinical infection distribution and antifungal resistance characteristics of the Stephanoascusciferrii(S.ciferrii)complex.Methods Clinical fungal culture and isolation data from Nanjing Drum Tower Hospital from 2012 to 2023 were retrospectively analyzed.The annual isolation quantity,proportion,and distribution of infection sites of S.ciferrii were statistically analyzed.The minimum inhibitory concentrations(MICs)of isolated strains against common antifungal agents were detected by ATB Fungus 3 fungal susceptibility test kit,and their resistance was analyzed.Results From 2012 to 2023,a total of 26 602 fungal strains were isola-ted in this hospital,including 79 strains of the S.ciferrii complex.Compared with 2012-2017,the isolation rate of S.ciferrii complex increased from 2018 to 2023(0.06％vs 0.43％,P＜0.001).There were 69 cases of super-ficial infection,including infection of ear canal(n=67)and skin(n=2).92.75％(n=64)of the patients were im-munocompetent individuals.There were 10 cases of invasive infection,including infection of urinary tract(n=5),respiratory tract(n=2),biliary tract(n=1),pacemaker pouch(n=1),and vagina(n=1).70.00％of the pa-tients had other underlying diseases,including 3 cases of immunosuppressed patients who died due to combined in-fection with the S.ciferrii complex.The MICs detection results showed that the MIC50 and MIC90 of fluconazole were 32 μg/mL and 128 μg/mL,respectively;the MIC50 and MIC90 of amphotericin B were 0.5 μg/mL and 2 μg/mL,respectively.Conclusion S.ciferrii complex mainly causes ear canal infection and has the dual pathogenic ability to cause superficial and invasive infection.The isolated strains showed higher MIC values for fluconazole and lower MIC values for amphotericin B.The mortality is high in immunosuppressed patients combined with invasive infec-tion caused by S.ciferrii.

Objective:To present an evaluation indicator system for access to cancer screening services.Methods:The evaluation indicator pool was constructed through a scoping review. The theoretical framework was constructed based on the multi-source indicators, and the qualitative expert consultation method was employed to form the initial version of the three-level evaluation indicator system. Delphi expert consultation method was conducted in two rounds to evaluate the relevance, importance, and availability of the proposed evaluation indicator system. The expert positive coefficient, authority coefficient, coordination degree of expert opinions, and concentration of expert opinions were subjected to analysis. Subsequently, the three-level evaluation indicator system for access to cancer screening services was adjusted and determined based on the boundary value method and the open opinions of experts. Finally, the combination weight method was employed to determine the weight.Results:The initial version of the indicator system comprised 3 primary (first-level) indicators, 11 secondary (second-level) indicators, and 46 tertiary (third-level) indicators. Delphi expert consultation was conducted for the initial version, and 17 experts ultimately completed it, exhibiting a positive coefficient of 100% and an authority coefficient of 0.87. In comparison to the initial round of consultation, Kendall's W coefficient ranges (0.15-0.43, all P<0.05) of relevance, importance, and availability scores for each tertiary indicator in the second round exhibited an improvement. The analysis of the importance dimension indicates that expert opinions are also more concentrated, as evidenced by an increase of 8.5% and 7.0% in the proportion of the tertiary indicators with an arithmetic mean above 8 and a full mark ratio above 0.5, respectively. The final evaluation indicator system comprises three primary indicators, with the weights of structure evaluation, process evaluation, and outcome evaluation being 0.338, 0.378, and 0.285, respectively. It also comprises 11 secondary indicators and 45 tertiary indicators. Conclusions:The evaluation indicator system developed in this article can be an effective evaluation tool for quantitative comparison of access to cancer screening services across different populations, cancer types, and before and after intervention. Furthermore, it is recommended that the system undergo continuous optimization concerning its application.

Reporting guidelines are structured checklists for researchers to follow when reporting spe-cific types of studies.As researches conducted in real-world settings to address practical issues,implementa-tion research has stringent requirements for the replicability of result and the transparency of reporting,making its reporting guidelines particularly important.This paper systematically introduces the reporting guidelines in the field of implementation science,outlines their classification systems and scopes of applica-tion,and focuses on explaining the core characteristics and functions of five key reporting guidelines,inclu-ding the Standards for Reporting Implementation Studies(StaRI),Reporting guidelines for implementation and operational research,the Template for Intervention Description and Replication(TIDieR),the Frame-work for Reporting Adaptations and Modifications-Enhanced(FRAME),and recommendations for specifying and reporting implementation strategies.Furthermore,combined with the PEDALs research paradigm in im-plementation science,this paper further clarifies the specific application pathways for reporting guidelines and discusses directions for refinement,aiming to provide references for researchers to select appropriate reporting guidelines.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Malignant tumors (commonly referred to as cancer) represent a major global public health challenge and contribute significantly to the worldwide disease burden. Early screening plays a critical role in improving detection rates, enabling timely intervention, and enhancing patient survival rates. However, current cancer screening guidelines primarily focus on site-specific screening, which may not fully address the need for comprehensive early detection. A scientifically rational, multi-cancer screening approach offers several advantages: it optimizes the use of biological samples, reduces time costs for participants, enhances the efficiency and comprehensiveness of screening, and minimizes overall expenses. Such an approach also facilitates the rational allocation of healthcare resources, ultimately helping to reduce the societal burden of cancer. To address this need, the Cancer Epidemiology Committee of the Chinese Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers in China. This consensus integrates multidisciplinary expertise and synthesizes the latest domestic and international researches on cancer screening, early detection, and treatment for prevalent malignancies. Drawing upon China's unique demographic and healthcare context, as well as practical screening experiences, the consensus provides evidence-based recommendations on target populations, screening technologies, and procedural workflows for multi-cancer screening. These guidelines align with the principles and methodologies established by the World Health Organization (WHO), aiming to enhance the effectiveness of combined cancer screening in China, improve early detection rates, and provide a scientific foundation for national cancer prevention and control strategies.

Cancer stands as a significant global public health challenge, and cancer screening serves as a pivotal strategy for reducing its mortality. Presently, only a limited number of cancer types have appropriate screening methods available. Traditional single-cancer screening approaches are fraught with limitations, including invasiveness, low accuracy, and poor patient compliance. Multi-cancer early detection (MCED) leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA, cell-free RNA, proteins, and metabolites in blood and other bodily fluids. This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage, showcasing immense potential for improving existing cancer screening strategies. This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED, biomarker selection and detection technologies, the criteria for cancer type selection, research design and clinical utility evaluation, as well as implementation pathways. The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED, thereby facilitating the continuous optimization of cancer screening strategies.