Objective:To explore the clinical characteristics, diagnosis and treatment strategies, and prognosis of pulmonary embolism (PE) complicating childhood rheumatic diseases.Methods:A retrospective case series study was performed on the demographic data, laboratory indicators, imaging features, treatment regimens, and follow-up data of 8 children with rheumatic diseases complicated by PE who were admitted to the Department of Rheumatology and Immunology, Capital Center for Children′s Health, Capital Medical University from January 2014 to October 2023.Results:Among the 8 children, there were 4 boys and 4 girls, with an age of 12.0 (7.5, 13.0) years. Among the primary diseases, there were 3 cases of systemic lupus erythematosus, 2 cases of Beh?et′s disease, 2 cases of Takayasu arteritis, and 1 case of antiphospholipid syndrome. All children developed PE during the active phase of the primary disease. PE was detected at the onset of the primary disease in 3 cases, and the median time from the diagnosis of the primary disease to the development of PE was 10.0 (6.0, 25.0) months in the remaining 5 cases. Fever was present in all 8 children, 4 cases were accompanied by chest tightness, dyspnea, etc., and 2 cases only presented with fever. Laboratory examinations revealed the following results: erythrocyte sedimentation rate was 42.0 (17.0, 78.0) mm/1 h, high-sensitivity C-reactive protein was 12.7 (2.6, 78.7) mg/L, white blood cell count was 9.6 (7.2, 18.7)×10 9/L; D-dimer was 2.3 (0.9, 6.2) mg/L; and hemoglobin was (109±16) g/L.Imaging examinations revealed that 5 cases had involvement of the bilateral lower pulmonary arteries, 5 cases had peripheral embolism, and 3 cases had central PE. Complications included 3 cases of deep vein thrombosis, 2 cases of intracranial venous sinus thrombosis, and 1 case of mild pulmonary hypertension.In terms of treatment, 7 cases received anticoagulation with heparin followed by warfarin. Immunomodulation was mainly based on glucocorticoids combined with immunosuppressants, and 4 cases were combined with biological agents. The follow-up time of 4.17 (1.75, 7.17) years, the time for complete absorption of PE was 10.5 (6.0, 18.0) months; all 8 children had no target events, with no recurrence or chronic thromboembolic pulmonary hypertension, and the pulmonary artery remodeling was good. Conclusions:PE complicating childhood rheumatic diseases is closely related to the activity of the primary disease. The clinical manifestations are insidious, with fever as the main symptom. Imaging examination is the key to diagnosis.Early adoption of heparin followed by warfarin anticoagulation and glucocorticoids combined with immunosuppressants and (or) biological agents to control the primary disease can achieve a favorable prognosis.

Objective:To explore the clinical characteristics, diagnosis and treatment strategies, and prognosis of pulmonary embolism (PE) complicating childhood rheumatic diseases.Methods:A retrospective case series study was performed on the demographic data, laboratory indicators, imaging features, treatment regimens, and follow-up data of 8 children with rheumatic diseases complicated by PE who were admitted to the Department of Rheumatology and Immunology, Capital Center for Children′s Health, Capital Medical University from January 2014 to October 2023.Results:Among the 8 children, there were 4 boys and 4 girls, with an age of 12.0 (7.5, 13.0) years. Among the primary diseases, there were 3 cases of systemic lupus erythematosus, 2 cases of Beh?et′s disease, 2 cases of Takayasu arteritis, and 1 case of antiphospholipid syndrome. All children developed PE during the active phase of the primary disease. PE was detected at the onset of the primary disease in 3 cases, and the median time from the diagnosis of the primary disease to the development of PE was 10.0 (6.0, 25.0) months in the remaining 5 cases. Fever was present in all 8 children, 4 cases were accompanied by chest tightness, dyspnea, etc., and 2 cases only presented with fever. Laboratory examinations revealed the following results: erythrocyte sedimentation rate was 42.0 (17.0, 78.0) mm/1 h, high-sensitivity C-reactive protein was 12.7 (2.6, 78.7) mg/L, white blood cell count was 9.6 (7.2, 18.7)×10 9/L; D-dimer was 2.3 (0.9, 6.2) mg/L; and hemoglobin was (109±16) g/L.Imaging examinations revealed that 5 cases had involvement of the bilateral lower pulmonary arteries, 5 cases had peripheral embolism, and 3 cases had central PE. Complications included 3 cases of deep vein thrombosis, 2 cases of intracranial venous sinus thrombosis, and 1 case of mild pulmonary hypertension.In terms of treatment, 7 cases received anticoagulation with heparin followed by warfarin. Immunomodulation was mainly based on glucocorticoids combined with immunosuppressants, and 4 cases were combined with biological agents. The follow-up time of 4.17 (1.75, 7.17) years, the time for complete absorption of PE was 10.5 (6.0, 18.0) months; all 8 children had no target events, with no recurrence or chronic thromboembolic pulmonary hypertension, and the pulmonary artery remodeling was good. Conclusions:PE complicating childhood rheumatic diseases is closely related to the activity of the primary disease. The clinical manifestations are insidious, with fever as the main symptom. Imaging examination is the key to diagnosis.Early adoption of heparin followed by warfarin anticoagulation and glucocorticoids combined with immunosuppressants and (or) biological agents to control the primary disease can achieve a favorable prognosis.

Objective To observe the value of CT angiography(CTA)for classifying type of peripheral arteriovenous fistula(AVF)in children.Methods Totally 22 children with peripheral AVF were retrospectively enrolled,the type of AVF was classified with preoperative CTA,and therapeutic planning was developed.Taken digital subtraction angiography(DSA)findings during interventional therapy as gold standards,the efficacy of CTA for classifying type of AVF was analyzed.Results Among 22 cases,DSA detected 3 cases of type Ⅰ,13 cases of type Ⅱa and 6 cases of typeⅡb peripheral AVF,while 3 cases of type Ⅰ,14 cases of type Ⅱa and 5 cases of type Ⅱb peripheral AVF were classified based on CTA.CTA misdiagnosed 1 case of type Ⅱa as type Ⅱb,and 2 cases of type Ⅱb as type Ⅱa peripheral AVF,its accuracy of CTA for classifying type Ⅰ,Ⅱa and Ⅱb peripheral AVF was 100%(3/3),92.31%(12/13)and 66.67%(4/6),respectively.Among 22 cases,13 cases underwent interventional closure,2 cases underwent interventional therapy combined with surgery,while 3 cases did not receive relevant treatment due to drainage vein occlusion.One month after treatments,the symptoms of 19 cases who underwent treatment improved significantly,and no signs of AVF was found with re-examination of ultrasound nor CTA.Conclusion CTA was helpful to classifying type of peripheral AV in children,which could provide references for interventional therapy.

Objective:To analyze the epidemiological characteristics of drug resistance genes of carbapenemase-producing Escherichia coli (CPECO) in Henan Province Hospital of Traditional Chinese Medicine from 2021 to 2023, providing data support and theoretical basis for controlling nosocomial infections of CPECO.Methods:Using a cross-sectional study, 30 carbapenem-resistant Escherichia coli (CRECO) strains confirmed by VITEK-2 Compact identification and drug sensitivity test in the Clinical Microbiology Laboratory of Henan Province Hospital of Traditional Chinese Medicine from 2021 to 2023 were tested, using carbapenemase inhibitor enhancement test to conduct preliminary screening of carbapenemases, and colloidal gold immunochromatography and polymerase chain reaction (PCR) were used to determine the phenotypes and genotypes of common carbapenemases ( blaKPC, blaNDM, blaVIM, blaIMP, blaOXA) respectively, and the genotypes ( blaSHV, blaTEM, blaCTX) of common extended Spectrum beta-lactamases (ESBL) were confirmed using PCR. The PCR amplification products of carbapenemase and ESBL positive strains were Sanger-sequenced, and the sequencing products were compared on the Blast website to determine the exact carbapenemase and ESBL genotypes. Sequence typing (ST) was performed on CPECO using the Achtman multi-locus sequence typing scheme to determine the cloning relationship between different strains. Results:A total of 21 CPECO strains were screened. Drug sensitivity test results showed that CPECO strains showed widespread drug resistance, with the resistance rate to monocyclic (aztreonam) and trimethoprim/sulfamethoxazole being over 60%(16/21, 14/21), and the resistance rate to other antibacterial drugs being 100%. Only the sensitivity to aminoglycosides and fosfomycin remained relatively high, and no strains resistant to tigecycline and colistin were found. Colloidal gold immunochromatography detected 18 blaNDM types, 2 blaKPC types, and 1 blaIMP type. Sequencing of drug resistance gene PCR products classified 17 blaNDM-5 strains, 1 blaNDM-4 strain, 2 blaKPC-2 strain, and 1 blaIMP-4 strain, which were completely consistent with the results of screening test and colloidal gold immunochromatography. ESBL resistance gene testing showed that the detection rate of blaTEM was 42.9%(9/21), blaCTX-M was 33.3%(7/21), and blaSHV was 4.8%(1/21). The rate of blaNDM producing CPECO carrying both ESBL resistance genes was 27.8%(5/18). The MLST typing results revealed 11 sequence types (STs), including one ST155 clonal complex and nine singleton STs. Among these, there were seven strains of ST167, five strains of ST410, and one strain each of ST58, ST68, ST69, ST93, ST131, ST155, ST648, ST1114, and ST3268. Conclusion:The main resistance mechanism identified in this study for CPECO was the production of blaNDM-5 carbapenemase, with a high proportion of strains also carrying blaTEM-1D and/or blaCTX-M-15 ESBLs. MLST typing found that the epidemic strain of CPECO showed certain polymorphism, but there were clonal transmission of multiple clonal complexes between ST167 and ST410.

Objective:Using resting-state functional magnetic resonance imaging (rs-fMRI), we explored the changes in dynamic functional network connections (dFNC) in the brains of patients with first-episode schizophrenia (SZ) and evaluated the potential clinical value of dFNC changes in combination with a machine learning model.Methods:Clinical data of 50 patients with schizophrenia (schizophrenia group), 29 males and 21 females, aged 18-47 (28.3±7.2) years, who attended the psychiatric department of the Second Affiliated Hospital of Xinxiang Medical College from January 2022 to August 2023, were retrospectively included. In the same period, 50 healthy controls matched for age and education (healthy control group) were recruited, of which 24 were male and 26 were female, aged 18-48 (28.0±6.9) years. The rs-fMRI imaging data were acquired for each subject. The dFNC cluster analysis was performed based on independent component analysis, and the differences between groups with different state FNC matrices were statistically analyzed. The dataset samples were divided into a training set (35 SZ patients and 35 healthy controls) and a validation set (15 SZ patients and 15 healthy controls) in a 7∶3 ratio. A machine learning classification model was constructed based on the dFNC matri. The performance of the model for distinguishing between schizophrenia and healthy controls was assessed by five-fold cross-validation using accuracy (ACC), recall (REC), F1 score, and area under curve (AUC) metrics of the working characteristics of the subjects.Results:Five network functional connectivity states were obtained by dFNC cluster analysis. Patients with first SZ showed a wide range of high connectivity and low connectivity changes on the neural dynamic functional networks, as shown by increased dynamic connectivity within the visual network (VIS) in state 1 (weak connectivity); The dynamic connectivity between executive control network (ECN) and VIS, frontal parietal network (FPN) and VIS decreases at state 3 (strong connectivity); The dynamic connectivity between default mode network (DMN) and FPN, DMN and ventral attention network (VAN) decreases at state 4 (weak connectivity). The machine learning results show that the classification model constructed by the dFNC matrix combined with SVM in state 3 (strongly connected) in the validation set obtains the best classification results (ACC=0.938; REC=0.938; F1=0.937; AUC=0.984), and the overall average classification ACC of the five states reaches 0.751, and AUC reaches 0.784.Conclusion:Patients with first-episode SZ have some brain functional network connectivity abnormalities, and a machine learning model based on dFNC features has high classification performance in distinguishing first-episode SZ from HC.

Objective To observe the value of CT angiography(CTA)for classifying type of peripheral arteriovenous fistula(AVF)in children.Methods Totally 22 children with peripheral AVF were retrospectively enrolled,the type of AVF was classified with preoperative CTA,and therapeutic planning was developed.Taken digital subtraction angiography(DSA)findings during interventional therapy as gold standards,the efficacy of CTA for classifying type of AVF was analyzed.Results Among 22 cases,DSA detected 3 cases of type Ⅰ,13 cases of type Ⅱa and 6 cases of typeⅡb peripheral AVF,while 3 cases of type Ⅰ,14 cases of type Ⅱa and 5 cases of type Ⅱb peripheral AVF were classified based on CTA.CTA misdiagnosed 1 case of type Ⅱa as type Ⅱb,and 2 cases of type Ⅱb as type Ⅱa peripheral AVF,its accuracy of CTA for classifying type Ⅰ,Ⅱa and Ⅱb peripheral AVF was 100%(3/3),92.31%(12/13)and 66.67%(4/6),respectively.Among 22 cases,13 cases underwent interventional closure,2 cases underwent interventional therapy combined with surgery,while 3 cases did not receive relevant treatment due to drainage vein occlusion.One month after treatments,the symptoms of 19 cases who underwent treatment improved significantly,and no signs of AVF was found with re-examination of ultrasound nor CTA.Conclusion CTA was helpful to classifying type of peripheral AV in children,which could provide references for interventional therapy.

Objective:To address the critical issue of missing dynamic border molding information in edentulous direct digital impression technology, this study explores innovative digital solutions and conducts preliminary application validation.Methods:Based on the myostatic line theory, a methodology was established: intraoral scanner (IOS) high-frequency video was utilized to dynamically capture functional molding data of soft tissues, integrated with a self-developed mobility gradient recognition algorithm to achieve dynamic threshold segmentation between the muscle dynamic zone and myostatic zone, termed "optical digital molding technology". Ten edentulous patients with well-fitting complete dentures, treated at the Department of Prosthodontics, Peking University School and Hospital of Stomatology from January 2024 to December 2024, were enrolled. The standard deviation between the muscle static line (generated by mobility gradient algorithm with thresholds of 0.3-0.7 mm) and the denture border curve was analyzed to optimize the dynamic threshold, followed by single-case clinical validation.Results:Among the mobility thresholds of 0.3-0.7 mm, the 0.5 mm threshold yielded the smallest standard deviation between the myostatic line and denture border. Clinical validation demonstrated that dentures designed with this threshold exhibited no displacement during dynamic functional tests, with marginal sealing meeting clinical standards.Conclusions:The optical digital border molding technique for edentulous soft tissue boundaries translates the myostatic line theory into quantifiable parameters for the first time. Based on data from 10 cases, a mobility threshold of 0.5 mm is recommended for clinical application.

Objective:To analyze the effect of zirconium-based pigments with different mass fractions on the colorimetric properties of fused deposition modeling (FDM) polyetheretherketone (PEEK) composites, and to investigate the feasibility of using these pigments for computer color matching of PEEK composites.Methods:Specimens were fabricated using FDM technology, comprising two control groups [Pure PEEK group, PEEK-TiO 2 group (PEEK compounded with 20% TiO 2)] and nine experimental groups based on the type of zirconium-based pigment (zirconium praseodymium yellow, zirconium iron red, zirconium vanadium blue) and mass fraction (0.1%, 0.5%, 1.0%). The experimental group specimens consisted of PEEK blended with 20% TiO 2 and the respective zirconium-based pigment. The spectral reflectance curve and chromaticity values of all specimens were measured using a spectrophotometer. The relationship between the chromaticity values of each colored PEEK composite in the experimental groups and the pigment mass fraction was determined. Shade guide tabs mimicking clinically used tooth shades were fabricated using a light-curing resin (Filtek Z350XT Body). The full-spectrum color matching method was employed to calculate the PEEK composite formulations (PEEK, 20% TiO 2, blends of the three zirconium-based pigments) required to match these target tooth shades. Verification group specimens based on these calculated recipes were then fabricated. The color difference between each verification group specimen and its corresponding target shade tab was calculated. Color differences between the target shade tabs and the two control groups (Pure PEEK, PEEK-TiO 2) were also calculated. Results:The spectral reflectance curves of PEEK composite specimens containing different types of zirconium-based pigments exhibited distinct characteristic features. The chromaticity values were significantly affected by the mass fraction of the same zirconium-based pigment. Based on computer color matching calculations, the color differences between the verification group specimens and the target shade tabs ranged from 1.59 to 14.55.Conclusions:This study demonstrates the feasibility of utilizing the three zirconium-based pigments (zirconium praseodymium yellow, zirconium iron red, zirconium vanadium blue) for full-spectrum computer color matching of PEEK-TiO 2 composites.

Objective:To explore the impact of the fear of disease progression on the return-to-work readiness of patients after percutaneous coronary intervention (PCI) , and the chain mediating effect of psychological consistency and disease acceptance between the two factors.Methods:A convenience sampling method was used to select 198 PCI patients at the Affiliated Hospital of Jining Medical University from February 2023 to May 2024. The General Information Survey, Return-To-Work Readiness Scale, Fear of Progression Questionnaire-Short Form, Acceptance Illness Scale, and Sense of Coherence-13 were used to investigate the patients.Results:A total of 198 questionnaires were distributed, with 178 valid questionnaires returned, yielding an effective response rate of 89.90%. Among the patients' return-to-work readiness, 42 patients were in the pre-intention stage, 60 patients in the intention stage, 36 patients in the action preparation-self-assessment stage, and 40 patients in the action preparation-behavior stage. The fear of disease progression significantly influenced the patients' return-to-work readiness. Psychological consistency and disease acceptance played significant chain mediation roles between the fear of disease progression and return-to-work readiness, with a total mediation effect value of -0.072, accounting for 41.38% of the total effect.Conclusions:Return-to-work readiness in PCI patients needs improvement. Psychological consistency and disease acceptance play a chain mediation role between the fear of disease progression and return-to-work readiness. Healthcare providers should develop personalized care strategies based on patients' specific conditions, improve their psychological state, and enhance their readiness to return to work.

Objective:To investigate the current status of medication discrepancy in patients after emergency percutaneous coronary intervention (PCI) and its influencing factors.Methods:Convenience sampling was used to select 260 patients with acute myocardial infarction who underwent emergency PCI in the Affiliated Hospital of Jining Medical University from July 2023 to February 2024 for the study. Patients were surveyed using the General Information Questionnaire, Medication Discrepancy Tools, Brief Illness Perception Questionnaire, Drug Literacy Questionnaire for Discharged Patients, and Sense of Coherence-13 Scale. Binomial Logistic regression was used to analyze the influencing factors of medication discrepancy.Results:A total of 260 questionnaires were distributed, 247 valid questionnaires were recovered, and the effective recovery rate was 95.00%. There were 166 cases without medication discrepancy and 81 cases with medication discrepancy. Binomial Logistic regression showed that age, occupational status, disease perception, medication literacy, and sense of coherence were the influencing factors of medication discrepancy in patients after emergency PCI ( P<0.05) . Conclusions:There is an urgent need to improve the medication discrepancy in patients after emergency PCI. Healthcare professionals can provide target interventions to patients to reduce the incidence of medication discrepancy by looking at the influencing factors and taking into account the individualized needs of the patients.