Objective To discuss the safety and effectiveness of ProGlide vascular stitching device in catheter-directed thrombolysis for patients with thrombosis of lower limb arteries.Methods The patients with arterial thrombosis of lower extremity,who received catheter-directed thrombolysis at the Department of Vascular Surgery of Weifang People's Hospital of China from January 2020 to December 2023,were collected for this study.In performing the vascular interventional surgery,a 6-Fr femoral artery sheath was used to accomplish the catheter-directed thrombolysis in all patients.When the catheter-directed thrombolysis was ended,ProGlide vascular stitching device was used to suture the femoral artery puncture point,or the femoral artery puncture point was oppressed with a finger.The hemostatic success rate and the incidence of relevant complications were compared between the two groups.Results A total of 156 patients who received catheter-directed thrombolysis of lower extremity were enrolled in this study.Of the 156 patients,ProGlide vascular stitching device was used to suture the femoral artery puncture point in 80(ProGlide device group)and finger-oppression was adopted in 76(finger-oppression group).Compared with finger-oppression group,in ProGlide device group the hemostatic success rate was obviously higher(96.25％vs.80.3％,P=0.002).Nine patients in finger-oppression group(11.8％)and 2 patients in ProGlide device group(2.5％)developed puncture site hematoma or pseudoaneurysm(P=0.023).Five patients in finger-oppression group(6.6％)had to receive surgical operation to repair the femoral artery,and one patient in ProGlide device group(1.25％)developed ProGlide device-related femoral artery occlusion.Adverse events occurred in 15 patients(19.7％)of finger-oppression group and 3 patients(3.75％)of ProGlide device group(P=0.002).Conclusion ProGlide vascular stitching device can be safely used in patients with arterial thrombosis of lower extremity receiving catheter-directed thrombolysis.This device carries high success rate for suturing the femoral artery puncture point,thus,the incidence of hematoma at the puncture site can be reduced.

Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans ; Malocclusion/diagnostic imaging* ; Child ; Consensus

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.

Bone grafting is a primary method for treating bone defects. Among various graft materials, xenogeneic bone substitutes are widely used in clinical practice due to their abundant sources, convenient processing and storage, and avoidance of secondary surgeries. With the advancement of domestic production and the limitations of imported products, an increasing number of bone filling or grafting substitute materials isentering clinical trials. Relevant experts have drafted this consensus to enhance the management of medical device clinical trials, protect the rights of participants, and ensure the scientific and effective execution of trials. It summarizes clinical experience in aspects, such as design principles, participant inclusion/exclusion criteria, observation periods, efficacy evaluation metrics, safety assessment indicators, and quality control, to provide guidance for professionals in the field.
Humans ; Bone Substitutes/therapeutic use* ; Randomized Controlled Trials as Topic/methods* ; Consensus ; Bone Transplantation ; Research Design

Objective:To investigate the clinical characteristics and independent risk factors of severe disease in patients with anti-nuclear matrix protein (NXP) 2 antibody-positive juvenile dermatomyositis (JDM).Methods:A retrospective cohort study was conducted, including 219 anti-NXP2 antibody-positive JDM patients admitted to 23 children′s hospitals across China from July 2011 to July 2023. Patients were classified into severe and non-severe groups based on classification criteria for severe dermatomyositis. Demographic characteristics, clinical manifestations, and laboratory parameters were compared between the 2 groups using independent sample t-test, Mann-Whitney U test, or χ2 test. Univariate and multivariate Logistic regression analyses were performed to identify risk factors for severe disease. The receiver operating characteristic curve was employed to calculate optimal cut-off values. Results:Among the 219 patients, 108 were male and 111 were female, with an age at onset of 6.3 (3.5, 9.4) years. The severe group comprised 69 patients, and the non-severe group 150 patients. The severe group had significantly higher rates of fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, as well as elevated levels of ferritin-to-albumin ratio (FAR), creatine kinase (CK), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) (all P<0.05). Multivariate analysis identified anti-Ro52 antibody positivity ( OR=13.26, 95% CI 1.37-128.29) and elevated FAR ( OR=1.90, 95% CI 1.09-2.31) as independent risk factors for severe anti-NXP2 antibody-positive JDM (both P<0.05). Receiver operating characteristic curve analysis revealed that a FAR cutoff value of 6.82 predicted severe disease with an area under the curve of 0.87 (95% CI 0.81-0.94, P<0.001), sensitivity of 0.85, and specificity of 0.70. All patients received glucocorticoid therapy, and the severe group received higher proportions of steroid pulse therapy, cyclophosphamide, mycophenolate mofetil, intravenous immunoglobulin, biologics, and adjuvant treatments compared to the non-severe group (all P<0.05). In terms of outcomes, 2 patients (2.9%) in the severe group died (due to neurological involvement and intestinal perforation, respectively), while the remaining patients achieved complete clinical response or remission. All patients in the non-severe group achieved remission. Conclusions:The primary clinical features of anti-NXP2 antibody-positive JDM included fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, and elevated levels of CK, AST, LDH, and FAR. Furthermore, anti-Ro52 antibody positivity and a FAR>6.82 were identified as independent risk factors.

Objective To construct a prognostic model of future asthma exacerbation risk in adults by com-bining novel biomarkers of serum chitinase-3-like protein 1(YKL-40),dipeptidyl peptidase-4(DPP4)and conventional predictors.Methods Patients with asthma in the non-acute exacerbation phase were recruited from the People's Hospital of Yubei District of Chongqing,from March 2022 to May 2023.Baseline clinical da-ta collected included medical history,forced expiratory volume in the first second(FEV1)/forced vital capacity(FVC),percentage of predicted forced expiratory volume in the first second(FEV1％pred),blood eosinophil count(EOS),blood neutrophil count(NEU),fractional exhaled nitric oxide(FeNO),serum YKL-40,and ser-um DPP4,etc.The patients were followed for one year to gather data on asthma acute exacerbations and their timings as defined in this study.A COX proportional hazards regression model was used to construct a prog-nostic model for future asthma exacerbations,with internal validation and results presentation.Results A to-tal of 224 patients with asthma completed the study.During the one-year follow-up period,102 patients experi-enced acute exacerbations as defined in this study.Based on univariate COX regression,stepwise regression for variable selection,clinical significance,and model simplicity,asthma control test(ACT)score group,number of asthma exacerbations in the past year group,log10(YKL-40),log10(FeNO),log10(EOS),and FEV1％pred were the following predictors were included in the final model.The overall C-statistic of the model was 0.795(95％CI:0.754-0.836),the area under the curve at the 52-week follow-up was 0.879(95％CI:0.834-0.924),and the Brier score at the 52-week follow-up was 0.142(95％CI:0.117-0.168).The calibration curve was close to a slope of 1,and bootstrap validation suggested good stability of the prediction model.The model was presented using a Nomogram and a dynamic scoring table in a web APP,which can be used to predict the risk of asthma exacerbations within 52 weeks for individual patients.Conclusion The prediction model based on serum YKL-40,EOS,FeNO,the number of asthma exacerbation in the past year group,FEV1％pred and ACT scores group can accurately predict the probability of acute attacks in 52 weeks of asthma patients.

Objective To investigate the relationship between traditional Chinese medicine(TCM)constitution and body composition such as visceral fat in overweight and obese individuals.Methods A total of 320 overweight/obese patients who visited the Preventive Treatment Center of Foshan Hospital of Traditional Chinese Medicine between September 15,2023,and September 14,2024,were selected as study subjects.Among them,135 were classified into the overweight group and 185 into the obese group.Data were collected using the TCM Constitution Questionnaire and a body composition analyzer(InBody570).The differences in TCM constitution distribution between the overweight and obese groups,as well as between genders,were compared.The correlation between TCM constitution types and body composition parameters was analyzed.Logistic regression analysis was employed to identify risk factors for biased constitutions in the overweight/obese population.Results Among the 320 overweight/obese patients,phlegm-damp constitution(56.25％)and damp-heat constitution(40.31％)were the most predominant biased constitutions.The proportions of blood stasis constitution,qi depression constitution,and inherited special constitution in females were significantly higher than those in males(P＜0.05 or P＜0.01),with the risk of qi depression constitution in females being 6.028 times higher than that in males(P＜0.01).Yang deficiency constitution was positively correlated with protein content but negatively correlated with skeletal muscle mass and body fat mass(P＜0.05).The proportion of blood stasis constitution in the overweight group was higher than that in the obese group(P＜0.01).In overweight/obese individuals with blood stasis constitution,the risk of excessive visceral fat was 2.658 times as high as those without excessive visceral fat.Blood stasis constitution was positively correlated with body fat mass,bone mineral content,intracellular water,and skeletal muscle mass index(SMI),but was negatively correlated with body mass index(BMI)and body cell mass(P＜0.05 or P＜0.01).Coclusion For overweight and obese populations,special attention should be paid to the management of visceral fat in individuals with blood stasis constitution and to emotional intervention in females.A staged and precise prevention and treatment strategy should be developed by integrating TCM constitution and body composition indicators.

Objective To study the effect of practicing traditional Chinese medicine(TCM)guidance on the health in weightless conditions based on the examination results of the TCM diagnostic instrument.Methods 6 subjects in weightless conditions practiced TCM guidance for 14 consecutive days,once a day for 8 minutes each time.The Digital TCM Diagnostic Instrument and TCM Syndrome Diagnosis Scale were used to collect information before and after their practice of TCM guidance through diagnostic methods of observation,palpation and inquiry according to TCM theory.The data such as the degree of virtual-reality,pulse rate,and characteristic parameters of pulse diagrams h3/h1,h4/h1,t1,h1/t1 were processed and analyzed,and the changes before and after the practice were compared.Results Compared with before the practice,the degree of deficiency syndrome was significantly reduced after practicing TCM guidance(P<0.05),the pulse rate was significantly decreased(P<0.01),and the pulse diagnosis parameters h3/h1 and t1 were significantly decreased(P<0.05),while h4/h1 and h1/t1 showed no significant changes.Conclusion Practicing TCM guidance in weightless conditions is helpful for enhance cardiovascular regulatory function,correcting symptom bias,adjusting the body's balance state,and has a positive effect on health.

OBJECTIVES: To evaluate the performance of a multi-constraint representation learning classification model for identifying ovarian cancer with missing laboratory indicators. METHODS: Tabular data with missing laboratory indicators were collected from 393 patients with ovarian cancer and 1951 control patients. The missing ovarian cancer laboratory indicator features were projected to the latent space to obtain a classification model using the representational learning classification model based on discriminative learning and mutual information coupled with feature projection significance score consistency and missing location estimation. The proposed constraint term was ablated experimentally to assess the feasibility and validity of the constraint term by accuracy, area under the ROC curve (AUC), sensitivity, and specificity. Cross-validation methods and accuracy, AUC, sensitivity and specificity were also used to evaluate the discriminative performance of this classification model in comparison with other interpolation methods for processing of the missing data. RESULTS: The results of the ablation experiments showed good compatibility among the constraints, and each constraint had good robustness. The cross-validation experiment showed that for identification of ovarian cancer with missing laboratory indicators, the AUC, accuracy, sensitivity and specificity of the proposed multi-constraints representation-based learning classification model was 0.915, 0.888, 0.774, and 0.910, respectively, and its AUC and sensitivity were superior to those of other interpolation methods. CONCLUSIONS The proposed model has excellent discriminatory ability with better performance than other missing data interpolation methods for identification of ovarian cancer with missing laboratory indicators.
Female ; Humans ; Ovarian Neoplasms/diagnosis* ; Machine Learning ; ROC Curve