Objective To construct a regional collaborative cloud-based treatment model treatment model for patients with severe road traffic injuries,and to preliminarily evaluate the differences in nursing timeliness indicators and outcomes.Methods The regional collaborative cloud-based treatment platform includes 4 ports,including public security traffic police,pre-hospital emergency center,regional trauma center triage,and regional trauma center resuscitation unit.This forms a standardized real-time interactive treatment process between regional medical services and police for patients with severe road traffic injuries.Using a concurrent control study design,241 patients with severe road traffic injuries admitted to the emergency department of a regional trauma center in Zhejiang Province from May 2022 to May 2024 were selected as the study subjects.Among them,120 patients treated with the regional real-time collaborative cloud-based treatment model were designated as an experimental group,while 121 patients treated with the original trauma care process were designated as a control group.The differences in timeliness indicators and outcomes between the 2 groups were compared.Results The study included 241 patients with severe trauma.After the application of the regional collaborative cloud-based treatment model,the time from the scene of the accident to the hospital,the proportion of information early waming,completion time of pre-examination and triage,waiting time of the trauma team,the time of the first CT,the length of multidisciplinary consultation,and the time for completing hospitalization procedures in the experimental group were shorter than those in the control group(P＜0.05),the proportion of information early waming in the experimental group was 100％(120/120),and the proportion of information early waming in the control group was 52.1％(63/121).The difference between the two groups was statistically significant(P＜0.001).The survival rate of the experimental group was 90.8％(109/120),and that of the control group was 86.0％(104/121).There was no significant difference between the two groups(x2=1.399,P=0.237).Conclusion The regional collaborative cloud-based treatment model improves the timeliness and standardization of the treatment of patients with severe road traffic injury,which has certain reference significance and promotion value.

This report summarizes the emergency care and nursing interventions for a Parkinson's disease patient with severe hypothermia complicated by ventricular arrhythmia.Key nursing points included continuous core temperature monitoring with goal-directed,phased,progressive rewarming;proactive identification and rapid response to arrhythmias;precise fluid management and skin protection to dynamically optimize blood perfusion and pressure redistribution;vigilant prevention and early intervention of hypothermia-related complications.With multidisciplinary treatment and meticulous nursing care,the patient was successfully discharged after 17 days of hospitalization with a favorable recovery.At the three-month follow-up after discharge,the patient had recovered well with no recurrence of similar episodes.

This paper designed a pressure swing adsorption(PSA)oxygen production equipment in mobile cabin of container,and a dual-tower type of oxygen producer was adopted.The inside of container included some major components,such as air compressor,filters,adsorption dryer,purifier,air buffer tank,oxygen generator,process tank,oxygen compressor,and an oxygen tank,and it adopted a unique circular structure with compact layout,which can optimize the work parameters of oxygen production equipment in mobile cabin of container,and provide convenience for installation and maintenance in the inside of the container,and provide continuously and stably qualified oxygen.At the same time,the DYSP intelligent control system was adopted,which can realize remote control,data acquisition,and parameter settings,and other operations.Compared with infrastructure installation of oxygen production equipment,the PSA oxygen production equipment in mobile cabin of container has a series of advantages,such as convenient displacement,small footprint and fast use.It can enhance control efficiency of oxygen production equipment,and reduce labor costs.It has wide applicability to hospitals,mobile cabin hospitals,factories that need oxygen,which are temperately established and need be emergently used.

Purpose To assess the utility of echocardiographic parameters in predicting adverse cardiovascular in patients with connective tissue disease.Materials and Methods A retrospective analysis was conducted on the clinical and echocardiographic records of patients with connective tissue disease from the Affiliated Hospital of Inner Mongolia Medical University(June 1st,2020 to June 1st,2023)who had complete medical data and at least twelve months of follow-up.Variables were screened based on univariate analysis,combined with clinical expertise and XGBoost feature weight analysis;this information was used to construct a Cox proportional hazards regression model designed to predict composite endpoint events of adverse cardiovascular outcomes.Internal validation was performed using the Bootstrap resampling method,and the model's performance was evaluated.Results The study included 123 participants.The incidence of positive events reached 39.02%(48/123).Mitral valve early diastolic annular velocity(reflecting left heart function)(HR=0.79,P=0.041)and tricuspid annular plane systolic excursion(reflecting right heart function)(HR=0.92,P=0.044)emerged as significant predictors for adverse cardiovascular outcomes.Compared with the clinical model,the model combined with left heart function parameters showed significant improvements in both risk classification and absolute accuracy for short-term and medium-term adverse prognosis(NRI365=0.054,IDI365=0.060,NRI730=0.064,IDI730=0.079,all P<0.05)and optimized risk classification for long-term adverse prognosis(NRI1 095=0.256,P<0.05).In contrast,the model combined with right heart function parameters improved risk classification at all time points(NRI365=0.054,NRI730=0.000,NRI1 095=0.135,all P<0.05).Conclusion Mitral valve early diastolic annular velocity and tricuspid annular plane systolic excursion,which reflect cardiac function,are factors for predicting adverse cardiovascular outcomes among individuals diagnosed with connective tissue disease.Multi-parameter combined models incorporating echocardiographic variables can provide incremental predictive value compared with clinical models.

Objective:To compare the accuracy and applicability of three adult height prediction methods based on artificial intelligence-assisted bone age assessment—the Bayley-Pinneau method(BP method), the Tanner-Whitehouse 3 method(TW3 method), and China 05 method—in girls.Methods:This bidirectional cohort study collected clinical data and 690 posteroanterior X-ray images of the left hand from 278 female children who underwent pubertal development assessments at Shenzhen Children′s Hospital between January 2014 and December 2020, with follow-up until adult height was reached. Adult height prediction was performed using BP, TW3, and China 05 methods on artificial intelligence-assisted bone age assessment.Results:The BP and TW3 methods overestimated adult height by(1.7±3.7) cm and(2.6±3.0) cm, respectively, while the China 05 method underestimated adult height by(2.3±3.5) cm. The proportion of PAH within±5 cm of FAH were 80.0% for the TW3 method, 77.0% for the BP method, and 74.2% for the China 05 method, with significant differences among them( P=0.038). Analysis of cases with prediction deviations>10 cm and subgroup comparisons revealed that the TW3 and BP methods were more likely to overestimate adult height in girls aged 6.0-<8.0 years, with delayed bone age, or in the prepubertal stage(all P<0.001). The China 05 method was more prone to underestimate adult height in those with advanced bone age( P<0.001). All three methods showed significantly greater prediction errors(absolute difference between PAH and FAH) in girls with early puberty compared to those with normal pubertal development(all P<0.05). Conclusions:The TW3 and BP methods tend to overestimate adult height in girls, while the China 05 method tends to underestimate it. Caution is warranted when predicting adult height, particularly in girls under 8 years of bone age, with delayed or advanced bone age, and those with early puberty.

Objective:To investigate the incidence and high-risk pathogenic factors of cardiovascular disease（CVD）in patients with rheumatic and autoimmune diseases，and to construct and validate a predictive model for the risk of CVD occurrence in these patients.Methods:A retrospective analysis was conducted on 239 patients with rheumatic and autoimmune diseases who underwent treatment and echocardiography at the Affiliated Hospital of Inner Mongolia Medical University between June 2020 and June 2023. General patient data，laboratory test results，and echocardiographic findings were collected. Follow-up was performed via electronic medical records or telephone surveys until December 2024 to determine the incidence of CVD，starting from the date of the first echocardiographic examination. Predictive factors were screened using univariate analysis and Lasso regression，and a Logistic regression model was constructed. Internal validation was performed using the Bootstrap method. The model's accuracy and clinical utility were assessed using the Hosmer-Lemeshow test，calibration curve，and decision curve analysis.Results:Among the 239 patients，111 developed CVD. Logistic regression analysis identified age，diastolic blood pressure，use of immunosuppressants，lymphocyte count（LYM），α-hydroxybutyrate dehydrogenase（α-HBDH）level，serum cystatin C（CysC），and right ventricular fractional area change（RVFAC）as independent predictive factors for CVD in these patients（all P<0.05）. The area under the ROC curve（AUC）for the prediction model was 0.895（95% CI = 0.856 - 0.935），and after Bootstrap validation，it was 0.894（95% CI = 0.861-0.925）. The Hosmer-Lemeshow test，calibration curve，and decision curve analysis all indicated that the model had good accuracy and clinical utility. Conclusions:Age，diastolic blood pressure，use of immunosuppressants，LYM，α-HBDH，CysC，and RVFAC may serve as independent risk factors for CVD in patients with rheumatic and autoimmune diseases. The prediction model based on echocardiography combined with laboratory indicators can，to some extent，predict the risk of CVD occurrence in these patients.

Objective To systematically analyze the characteristics of functioning and vocational competency of college students with disabilities and explore effective career development pathways and methods.Methods This study systematically examined the functional characteristics and occupational competency structure of college students with disabilities,and proposed pathways to enhance their career development,using Internation-al Classification of Functioning,Disability and Health(ICF),rehabilitation competency framework(RCF),and achievement motivation theory.Results The study analyzed the functional performance of college students with disabilities across dimensions such as body functions and structures,activities and participation,and environmental factors,as well as their impact on occupational activities,using the Core Sets for Vocational Rehabilitation and the WHO Disability Assessment Schedule 2.0(WHODAS 2.0).The study outlined the occupational competency framework for these students and proposed three synergistic pathways to enhance their career development,including empowerment,functional compensation,and inclusive environmental support,based on RCF and achievement motivation theory.Early in-tervention,professional career services and multi-stakeholder collaboration mechanisms were recommended to provide lifelong,personalized career counseling,guidance and support based on precise occupational needs and competency assessments.Conclusion The career development of college students with disabilities is influenced by multiple factors,including indi-vidual functional status,occupational competency and environmental conditions.Implementing strategies such as empowerment,functional compensation,and inclusive environmental support could safeguard their right to em-ployment in an inclusive workplace,effectively improving their employment quality and sustainable career devel-opment capabilities.

Objective To report a case of Elizabethkingia anopheles(E.anopheles)-associated sepsis and menin-gitis,review the relevant literatures,and provide reference for the diagnosis and treatment of this infection.Methods Treatment process of a pediatric patient aged 11-year-7-month old who developed post-neurosurgery E.anophe-les-associated sepsis and meningitis was analyzed retrospectively.Relevant literature was reviewed to summarize clinical characteristics of patients with E.anopheles-associated sepsis or meningitis.Results The main clinical manifestations of this pediatric patient were fever and abnormal cerebrospinal fluid routine.The cerebrospinal fluid and blood cultures showed E.anopheles.Patient recovered after vancomycin treatment.Including this case,a total of 33 cases were analyzed,with 16 males and 1 unreported gender.The median age of patients was 49 years old(range:1 day-84 years).Most cases were healthcare-associated infections(62.5％,n=20)with underlying disea-ses,and 24 cases were cured.Conclusion E.anopheles-associated infections are rare in clinic,but can cause severe infections such as sepsis and meningitis,warranting clinical attention.

Purpose To assess the utility of echocardiographic parameters in predicting adverse cardiovascular in patients with connective tissue disease.Materials and Methods A retrospective analysis was conducted on the clinical and echocardiographic records of patients with connective tissue disease from the Affiliated Hospital of Inner Mongolia Medical University(June 1st,2020 to June 1st,2023)who had complete medical data and at least twelve months of follow-up.Variables were screened based on univariate analysis,combined with clinical expertise and XGBoost feature weight analysis;this information was used to construct a Cox proportional hazards regression model designed to predict composite endpoint events of adverse cardiovascular outcomes.Internal validation was performed using the Bootstrap resampling method,and the model's performance was evaluated.Results The study included 123 participants.The incidence of positive events reached 39.02%(48/123).Mitral valve early diastolic annular velocity(reflecting left heart function)(HR=0.79,P=0.041)and tricuspid annular plane systolic excursion(reflecting right heart function)(HR=0.92,P=0.044)emerged as significant predictors for adverse cardiovascular outcomes.Compared with the clinical model,the model combined with left heart function parameters showed significant improvements in both risk classification and absolute accuracy for short-term and medium-term adverse prognosis(NRI365=0.054,IDI365=0.060,NRI730=0.064,IDI730=0.079,all P<0.05)and optimized risk classification for long-term adverse prognosis(NRI1 095=0.256,P<0.05).In contrast,the model combined with right heart function parameters improved risk classification at all time points(NRI365=0.054,NRI730=0.000,NRI1 095=0.135,all P<0.05).Conclusion Mitral valve early diastolic annular velocity and tricuspid annular plane systolic excursion,which reflect cardiac function,are factors for predicting adverse cardiovascular outcomes among individuals diagnosed with connective tissue disease.Multi-parameter combined models incorporating echocardiographic variables can provide incremental predictive value compared with clinical models.

Objective To systematically analyze the characteristics of functioning and vocational competency of college students with disabilities and explore effective career development pathways and methods.Methods This study systematically examined the functional characteristics and occupational competency structure of college students with disabilities,and proposed pathways to enhance their career development,using Internation-al Classification of Functioning,Disability and Health(ICF),rehabilitation competency framework(RCF),and achievement motivation theory.Results The study analyzed the functional performance of college students with disabilities across dimensions such as body functions and structures,activities and participation,and environmental factors,as well as their impact on occupational activities,using the Core Sets for Vocational Rehabilitation and the WHO Disability Assessment Schedule 2.0(WHODAS 2.0).The study outlined the occupational competency framework for these students and proposed three synergistic pathways to enhance their career development,including empowerment,functional compensation,and inclusive environmental support,based on RCF and achievement motivation theory.Early in-tervention,professional career services and multi-stakeholder collaboration mechanisms were recommended to provide lifelong,personalized career counseling,guidance and support based on precise occupational needs and competency assessments.Conclusion The career development of college students with disabilities is influenced by multiple factors,including indi-vidual functional status,occupational competency and environmental conditions.Implementing strategies such as empowerment,functional compensation,and inclusive environmental support could safeguard their right to em-ployment in an inclusive workplace,effectively improving their employment quality and sustainable career devel-opment capabilities.