Objective:To investigate the clinical characteristics, imaging features, risk factors, and prognosis of childhood-onset Takayasu arteritis (TAK) with pulmonary artery involvement.Methods:A retrospective cohort study was conducted in 107 pediatric patients who were initially diagnosed with childhood-onset TAK at Department of Rheumatology and Immunology, Capital Center for Children′s Health, Capital Medical Universiy, from January 2010 to December 2024. Clinical data, including demographic information, imaging features, treatment regimens, and prognosis were collected. Patients were divided into with and without pulmonary artery involvement groups. Intergroup comparisons were performed. Multivariate logistic regression was used to identify risk factors for pulmonary artery involvement. Kaplan-Meier analysis with Log-Rank testing was used for survival analyze.Results:Among 107 children with TAK, 26 were male, 81 were female, with a diagnosis age of 88 (5, 137) months. Sixteen cases were in the pulmonary artery involvement group and 91 cases in the non-pulmonary artery involvement group. The pulmonary artery involvement group was predominantly female (14 cases), with a diagnosis age of 39 (4, 104) months. The pulmonary artery involvement group had higher incidence rates of fatigue,pulmonary hypertension, right heart failure,superior mesenteric artery involvement,as well as higher neutrophil counts, C-reactive protein (CRP) levels (all P<0.05). Hemoglobin was lower in the pulmonary artery involvement group ( P<0.05). Imaging findings revealed that all 16 children in the pulmonary artery involvement group showed signs of pulmonary arterial wall thickening. Other manifestations included dilation in 2 cases, stenosis in 2 cases, and occlusion in 1 case. Unilateral involvement (12 cases) was more common, and the right pulmonary artery (10 cases) was more frequently affected. Independent risk factors for pulmonary artery involvement in childhood-onset TAK patients included superior mesenteric artery involvement ( OR=5.58, 95% CI 1.41-22.10, P=0.014) and elevated CRP levels ( OR=1.02, 95% CI 1.00-1.03, P=0.027). During a follow-up of 3.9 (1.4,8.1) years, 2 patients with pulmonary artery involvement (all with pulmonary hypertension), among the survivors in the pulmonary artery involvement group, 2 cases still exhibited persistent pulmonary artery dilation, and one case had pulmonary artery occlusion; and 6 patients (6.6%) without pulmonary artery involvement died. Patients with pulmonary artery involvement had significantly lower survival rates compared to those without involvement ( P=0.024). Conclusions:Childhood-onset TAK with pulmonary artery involvement has an insidious clinical presentation, and can progress to pulmonary hypertension, pulmonary artery occlusion, and a significantly reduced survival rate. Patients with mesenteric artery involvement or elevated CRP have higher risks of pulmonary artery involvement, requiring close pulmonary vascular monitoring and early intervention to improve prognosis.

Objective:To investigate the risk factors and construct a nomogram prediction model for neonatal bacterial meningitis (BM).Methods:A retrospective cohort study was conducted on 1 228 neonates who underwent lumbar puncture for cerebrospinal fluid examination in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital from December 2019 to February 2024. The subjects were randomly divided into a training cohort and a validation cohort at a ratio of 7∶3 using a computer program. Rank sum test or Chi-square tests were used to compare differences between the two cohorts. The subjects were divided into BM and non-BM groups based on the presence or absence of BM. Multivariate logistic regression analysis (forward stepwise regression method) was used in the training cohort to identify risk factors for BM. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow goodness-of-fit test were used to assess the discrimination and calibration of the model, respectively. Calibration curves were used to evaluate the accuracy of the model and to construct the nomogram. Internal validation was performed using the Bootstrap resampling method. Decision curve analysis was used to assess the clinical utility of the model. Results:Among the 1 228 neonates, 151 (12.3%) had BM. The training cohort included 859 neonates, of whom 106 (12.3%) had BM and 753 (87.7%) did not. The validation cohort included 369 neonates, of whom 45 (12.2%) had BM and 324 (87.8%) did not. The results of the multivariate logistic regression analysis in the training cohort showed that sepsis ( OR=4.446, 95% CI:2.583-7.653), convulsions ( OR=3.749, 95% CI:1.930-7.280), high maximum body temperature ( OR=2.027, 95% CI:1.636-2.513), and elevated C-reactive protein ( OR=1.007, 95% CI:1.003-1.012) were independent risk factors for BM, while greater gestational age at birth ( OR=0.946, 95% CI: 0.898-0.995) and higher hemoglobin levels ( OR=0.990, 95% CI:0.981-0.998) were protective factors for BM (all P<0.05). Based on these findings, a nomogram prediction model for neonatal BM was constructed and validated for accuracy. The AUC values of the nomogram model in the training and validation cohorts were 0.796 (95% CI: 0.750-0.843) and 0.781 (95% CI: 0.700-0.862), respectively. The Hosmer-Lemeshow goodness-of-fit test showed P>0.05 in both cohorts. The clinical decision curve analysis demonstrated good net benefit across most threshold ranges. Conclusions:Sepsis, convulsions, high maximum body temperature, and elevated C-reactive protein increase the risk of neonatal BM. The nomogram model constructed based on these factors, combined with gestational age and hemoglobin levels, provides a reference value for predicting the risk of neonatal BM.

As an important support for hospital operations,hospital logistic maintenance services suffer from pain points such as low efficiency and passive maintenance.The fundamental reason is the lack of a closed-loop mechanism.Based on the closed-loop theory and combined with mathematical modeling,this paper constructs a quality control system for logistic mainte-nance services and proposes a four-stage management process:In the planning stage,optimization goals and constraints are clari-fied.In the design stage,a comprehensive optimization model is established to minimize response time deviation and total mainte-nance costs while maximizing the one-time repair rate.In the execution stage,a maintenance task allocation matrix is generated based on the model solution to optimize resource scheduling.In the inspection stage,RTD,FFR,and QMS are introduced to quantitatively evaluate service performance.In the improvement stage,problem feedback is addressed,and model parameters are adjusted to form a closed loop.Hospital A is used as a practical case study,and the application effect of the quality control sys-tem is verified through analysis of its maintenance data.The quality control system has significant effects on optimizing the re-sponse efficiency,stability,and resource utilization of logistic maintenance services,providing a practical reference for other medical institutions.

As an important support for hospital operations,hospital logistic maintenance services suffer from pain points such as low efficiency and passive maintenance.The fundamental reason is the lack of a closed-loop mechanism.Based on the closed-loop theory and combined with mathematical modeling,this paper constructs a quality control system for logistic mainte-nance services and proposes a four-stage management process:In the planning stage,optimization goals and constraints are clari-fied.In the design stage,a comprehensive optimization model is established to minimize response time deviation and total mainte-nance costs while maximizing the one-time repair rate.In the execution stage,a maintenance task allocation matrix is generated based on the model solution to optimize resource scheduling.In the inspection stage,RTD,FFR,and QMS are introduced to quantitatively evaluate service performance.In the improvement stage,problem feedback is addressed,and model parameters are adjusted to form a closed loop.Hospital A is used as a practical case study,and the application effect of the quality control sys-tem is verified through analysis of its maintenance data.The quality control system has significant effects on optimizing the re-sponse efficiency,stability,and resource utilization of logistic maintenance services,providing a practical reference for other medical institutions.

Objective:To investigate the clinical characteristics, imaging features, risk factors, and prognosis of childhood-onset Takayasu arteritis (TAK) with pulmonary artery involvement.Methods:A retrospective cohort study was conducted in 107 pediatric patients who were initially diagnosed with childhood-onset TAK at Department of Rheumatology and Immunology, Capital Center for Children′s Health, Capital Medical Universiy, from January 2010 to December 2024. Clinical data, including demographic information, imaging features, treatment regimens, and prognosis were collected. Patients were divided into with and without pulmonary artery involvement groups. Intergroup comparisons were performed. Multivariate logistic regression was used to identify risk factors for pulmonary artery involvement. Kaplan-Meier analysis with Log-Rank testing was used for survival analyze.Results:Among 107 children with TAK, 26 were male, 81 were female, with a diagnosis age of 88 (5, 137) months. Sixteen cases were in the pulmonary artery involvement group and 91 cases in the non-pulmonary artery involvement group. The pulmonary artery involvement group was predominantly female (14 cases), with a diagnosis age of 39 (4, 104) months. The pulmonary artery involvement group had higher incidence rates of fatigue,pulmonary hypertension, right heart failure,superior mesenteric artery involvement,as well as higher neutrophil counts, C-reactive protein (CRP) levels (all P<0.05). Hemoglobin was lower in the pulmonary artery involvement group ( P<0.05). Imaging findings revealed that all 16 children in the pulmonary artery involvement group showed signs of pulmonary arterial wall thickening. Other manifestations included dilation in 2 cases, stenosis in 2 cases, and occlusion in 1 case. Unilateral involvement (12 cases) was more common, and the right pulmonary artery (10 cases) was more frequently affected. Independent risk factors for pulmonary artery involvement in childhood-onset TAK patients included superior mesenteric artery involvement ( OR=5.58, 95% CI 1.41-22.10, P=0.014) and elevated CRP levels ( OR=1.02, 95% CI 1.00-1.03, P=0.027). During a follow-up of 3.9 (1.4,8.1) years, 2 patients with pulmonary artery involvement (all with pulmonary hypertension), among the survivors in the pulmonary artery involvement group, 2 cases still exhibited persistent pulmonary artery dilation, and one case had pulmonary artery occlusion; and 6 patients (6.6%) without pulmonary artery involvement died. Patients with pulmonary artery involvement had significantly lower survival rates compared to those without involvement ( P=0.024). Conclusions:Childhood-onset TAK with pulmonary artery involvement has an insidious clinical presentation, and can progress to pulmonary hypertension, pulmonary artery occlusion, and a significantly reduced survival rate. Patients with mesenteric artery involvement or elevated CRP have higher risks of pulmonary artery involvement, requiring close pulmonary vascular monitoring and early intervention to improve prognosis.

Objective:To investigate the risk factors and construct a nomogram prediction model for neonatal bacterial meningitis (BM).Methods:A retrospective cohort study was conducted on 1 228 neonates who underwent lumbar puncture for cerebrospinal fluid examination in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital from December 2019 to February 2024. The subjects were randomly divided into a training cohort and a validation cohort at a ratio of 7∶3 using a computer program. Rank sum test or Chi-square tests were used to compare differences between the two cohorts. The subjects were divided into BM and non-BM groups based on the presence or absence of BM. Multivariate logistic regression analysis (forward stepwise regression method) was used in the training cohort to identify risk factors for BM. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow goodness-of-fit test were used to assess the discrimination and calibration of the model, respectively. Calibration curves were used to evaluate the accuracy of the model and to construct the nomogram. Internal validation was performed using the Bootstrap resampling method. Decision curve analysis was used to assess the clinical utility of the model. Results:Among the 1 228 neonates, 151 (12.3%) had BM. The training cohort included 859 neonates, of whom 106 (12.3%) had BM and 753 (87.7%) did not. The validation cohort included 369 neonates, of whom 45 (12.2%) had BM and 324 (87.8%) did not. The results of the multivariate logistic regression analysis in the training cohort showed that sepsis ( OR=4.446, 95% CI:2.583-7.653), convulsions ( OR=3.749, 95% CI:1.930-7.280), high maximum body temperature ( OR=2.027, 95% CI:1.636-2.513), and elevated C-reactive protein ( OR=1.007, 95% CI:1.003-1.012) were independent risk factors for BM, while greater gestational age at birth ( OR=0.946, 95% CI: 0.898-0.995) and higher hemoglobin levels ( OR=0.990, 95% CI:0.981-0.998) were protective factors for BM (all P<0.05). Based on these findings, a nomogram prediction model for neonatal BM was constructed and validated for accuracy. The AUC values of the nomogram model in the training and validation cohorts were 0.796 (95% CI: 0.750-0.843) and 0.781 (95% CI: 0.700-0.862), respectively. The Hosmer-Lemeshow goodness-of-fit test showed P>0.05 in both cohorts. The clinical decision curve analysis demonstrated good net benefit across most threshold ranges. Conclusions:Sepsis, convulsions, high maximum body temperature, and elevated C-reactive protein increase the risk of neonatal BM. The nomogram model constructed based on these factors, combined with gestational age and hemoglobin levels, provides a reference value for predicting the risk of neonatal BM.

MR angiography(MRA)is an important imaging method for non-invasive evaluation on the structure and hemodynamics of portal venous system.With the emergence of new MR sequences and iterations of contrast agents,the applications of portal MRA in children became more and more feasible.The technical research progresses and challenges of portal MRA in children were reviewed in this article.

Objective In order to improve the quality and efficiency of hospital service guarantee,build a"one-stop"intelligent service model for hospitals,form universal standards,and solve the common problems of"scattered combat,informa-tion isolation,partial idleness,and insufficient application"in hospitals.Methods A"one-stop"intelligent service center was established.Through one intelligent platform,two types of interaction windows,and four business modules,it performed five core functions,namely,comprehensive command,emergency response,centralized dispatching,system monitoring,and service as-surance.The same platform operated,unified service entrance,unified access to events,and unified deployment of personnel,to achieve all-weather,visual management of logistics core data.Results The average response time for logistics support matters in 2023 was 10 minutes,a decrease of 33％compared to 2021;The completion time is 30 minutes,a year-on-year decrease of 25％;There were 19 alarm events,a year-on-year decrease of 34％;Satisfaction rate is 95％,with a year-on-year increase of 15％.Conclusion The construction of intelligent hospital security system based on the one-stop mode can effectively implement normal data publicity and performance secondary distribution,stimulate the enthusiasm of logistics staff,and greatly improve serv-ice efficiency and quality.

Objective To provide a scientific benchmark for the era of population aging and improve the medical care environment for the elderly in terms of hospital facility accessibility.Methods A random sampling method was used to select 375 individuals from 10 healthcare institutions in a specified city as survey participants from December 2022 to February 2023.A total of 375 questionnaires titled"Comprehensive Rating Scale for Patient Experience in Medical Facilities(Accessibility Category)"were distributed among the participants,with 356 valid responses received and subjected to reliability and validity assessments.The questionnaire included 6 accessibility indicators,each rated from 1 to 10,to evaluate the accessibility level of healthcare fa-cilities.The acquired data was analyzed using the Rank Sum Ratio method and the Four Quadrants model.Results The average score for building accessibility in the city's medical institutions was 35.86,with several indicators at a moderate level,indicating a need for an improvement of the facility accessibility.Meanwhile,the economic operational status of various medical institutions appeared to influence the implementation of accessibility features,which also correlated with local government construction plan-ning,staff awareness of accessible infrastructure,and other factors.Conclusion Medical facilities in cities could implement bar-rier-free modifications in parking,toilets,and other areas,improve the use of accessible AI technology,and develop intelligent medical scenarios in order to meet the challenges of an aging society,improve the medical care quality for the elderly,and reduce social security cost.The governments should accelerate the improvement of supportive policies and regulations and bolster support for the accessibility enhancements.Higher education and research institutions can collaborate with healthcare providers for innova-tive integration of industry academia,research,and application,fostering the conversion of research into practical solutions.

With reference to the experience of School of Stomatology, Inner Mongolia Medical University, in participating in oral skill competitions, this article analyzes and summarizes the teaching issues reflected in skill competitions and refines the teaching strategies of consolidating theoretical foundation and cultivating clinical thinking as the basis, implementing the sterile concept and maintaining standard body position and posture as the key, and standardizing operating standards and strengthening hand skills as the important points. Participating in skill competitions can help to improve the emphasis on practical skill teaching of stomatology among students and establish innovative teaching models. Meanwhile, humanistic quality education is taken seriously to improve the comprehensive qualities of students through multiple channels.