Objective To analyze the correlations between the thoracic electrical impedance tomography(EIT)-derived parameters global inhomogeneity(GI),center of ventilation(COV),regional ventilation delay(RVD),and atelectasis in hospitalized patients,and to explore their effectiveness in evaluating atelectasis.Methods The clinical data of 140 hospitalized patients monitored by thoracic EIT between Sep.2024 and Jan.2025 were retrospectively analyzed.Patients were assigned to 2 groups based on chest computed tomography confirmation of atelectasis within the preceding short-term period during EIT monitoring:non-atelectasis group or atelectasis group.The algorithm software designed with MATLAB was used to acquire GI and COV.RVD was obtained through analysis with the Dr?ger EIT Data Analysis Tool 6.3 software,and patients'general data were concurrently documented.Comparative analysis of EIT-derived parameters between groups was conducted.Multivariate logistic regression analysis was employed to investigate the correlations of GI,COV,and RVD with atelectasis,while receiver operating characteristic curve analysis was performed to assess the efficacy of EIT-derived parameters in evaluating atelectasis.Results A total of 140 patients were enrolled,with 19(13.6%)cases presenting atelectasis.Compared to the non-atelectasis group,the atelectasis group demonstrated significantly higher proportions of male patients and cardiovascular disease and thoracic surgery(non-pulmonary)histories,lower body mass index(BMI),and alongside elevated GI and RVD values with reduced COV(all P＜0.05).Multivariate logistic regression analysis revealed that GI,COV,and RVD maintained independent associations with atelectasis after adjusting for age,gender,BMI,pleural effusion,and emphysema(odds ratio[OR]=1.39,95%confidence interval[CI]1.20-1.67;OR=0.85,95%CI 0.75-0.96;OR=1.22,95%CI 1.09-1.39;all P＜0.05).The area under curve(AUC)values of GI,COV,and RVD for evaluating atelectasis in hospitalized patients were 0.82,0.80,and 0.82,respectively(while RVD demonstrated a higher AUC,its clinical applicability was influenced by respiratory patterns).Conclusion Thoracic EIT-derived parameters GI and COV demonstrate significant correlations with atelectasis and may serve as valuable indicators for evaluating atelectasis in hospitalized patients.

Objective To investigate the detection rate and related influencing factors of gastrointestinal diseases in grass-roots personnel.Methods A total of 481 grass-roots personnel were enrolled and examined by magnetic-controlled capsule endoscopy(MCCE).Multivariate logistic regression were used to analyze the influencing factors of gastrointestinal diseases detected by MCCE.Results All personnel completed MCCE,and gastrointestinal diseases were detected in 154(32.0%)cases,including 106 cases of erosive gastritis,25 cases of chronic atrophic gastritis,17 cases of digestive tract polyp,16 cases of gastric ulcer,5 cases of reflux esophagitis,4 cases of cardia,1 case of duodenitis,and 1 case of enteritis.Gastrointestinal diseases was correlated with special operation posts,long-term tasks within recent 6 months,abdominal distension,belching,nausea and vomiting,diarrhea and other symptoms(all P＜0.05).Multivariate logistic regression analysis showed that the risk factors of gastrointestinal diseases were working in special operation posts,performing long tasks within 6 months,belching,nausea and vomiting symptoms(all P＜0.05).Conclusion The overall detection rate of gastrointestinal diseases(mainly acid related diseases)is relatively high,and its incidence is closely related to working in special operation posts and performing long-term tasks within recent 6 months.Personnel working in special operation posts should be more alert to gastrointestinal diseases.Gastrointestinal symptoms have reference value for the prediction of lesions,but more attention should be paid to the identification of functional gastrointestinal diseases with endoscopy.

Objective To mine and analyze the routine blood test data of children with allergic rhinitis (AR), identify routine blood parameters related to childhood allergic rhinitis, establish an effective diagnostic model, and evaluate the performance of the model. Methods This study was a retrospective study of clinical cases. The experimental group comprised a total of 1110 children diagnosed with AR at the First Affiliated Hospital of Air Force Medical University during the period from December 12, 2020 to December 12, 2021, while the control group included 1109 children without a history of allergic rhinitis or other allergic diseases who underwent routine physical examinations during the same period. Information such as age, sex and routine blood test results was collected for all subjects. The levels of routine blood test indicators were compared between AR children and healthy children using comprehensive intelligent baseline analysis, with indicators of P≥0.05 excluded; variables were screened by Lasso regression. Binary Logistic regression was used to further evaluate the influence of multiple routine blood indexes on the results. Five kinds of machine model algorithms were used, namely extreme value gradient lift (XGBoost), logistic regression (LR), gradient lift decision tree (LGBMC), Random forest (RF) and adaptive lift algorithm (AdaBoost), to establish the diagnostic models. The receiver operating characteristic (ROC) curve was used to screen the optimal model. The best LightGBM algorithm was used to build an online patient risk assessment tool for clinical application. Results Statistically significant differences were observed between the AR group and the control group in the following routine blood test indicators: mean cellular hemoglobin concentration (MCHC), hemoglobin (HGB), absolute value of basophils (BASO), absolute value of eosinophils (EOS), large platelet ratio (P-LCR), mean platelet volume (MPV), platelet distribution width (PDW), platelet count (PLT), absolute values of leukocyte neutrophil (W-LCC), leukocyte monocyte (W-MCC), leukocyte lymphocyte (W-SCC), and age. Lasso regression identified these variables as important predictors, and binary Logistic regression further analyzed the significant influence of these variables on the results. The optimal machine learning algorithm LightGBM was used to establish a multi-index joint detection model. The model showed robust prediction performance in the training set, with AUC values of 0.8512 and 0.8103 in the internal validation set. Conclusion The identified routine blood parameters can be used as potential biomarkers for early diagnosis and risk assessment of AR, which can improve the accuracy and efficiency of diagnosis. The established model provides scientific basis for more accurate diagnostic tools and personalized prevention strategies. Future studies should prospectively validate these findings and explore their applicability in other related diseases.
Humans ; Male ; Female ; Rhinitis, Allergic/blood* ; Child ; Biomarkers/blood* ; Retrospective Studies ; Early Diagnosis ; Child, Preschool ; ROC Curve ; Logistic Models ; Hematologic Tests ; Algorithms ; Adolescent ; Machine Learning

Objective To analyze the influencing factors of emergency coordination in the target hospital using an opti-mized SFIC model,identify key factors,and provide decision-making basis and recommendations.Methods A research frame-work was established through literature analysis.Experts were organized to score various factors via a questionnaire survey.The SFIC model and DEMATEL method were applied to analyze the relationships among the factors.Results An SFIC framework suitable for the target hospital was constructed,comprising 5 first-level indicators and 16 second-level indicators,with 10 core el-ements identified.Conclusion Establishing a coordinated emergency mechanism in the target hospital requires full consideration of its own characteristics and the 10 core elements.It is recommended that senior leadership be deeply involved,coordinate pa-tient triage,material storage,and personnel allocation mechanisms,and adopt a flat management concept to construct an emer-gency coordination management system for the target hospital.

Objective To search for and verify the genetic factors that lead to familial thoracic aortic aneurysm and dissection.Methods Patients with a family history were screened from clinical cases of thoracic aortic aneurysm and dissection,and their relevant clinical data were collected.After extracting the whole-genome DNA from the proband's blood samples,gene panel testing was carried out,and first-generation sequencing was used to verify the blood samples of the proband's immediate and collateral relatives.Meanwhile,relevant cell experiments were designed.First,the ACTA2-Leu195 * point mutation plasmid was constructed,and then the mutant plasmid and wild-type ACTA 2 were transfected into cells through expression plasmids respectively.After 48 hours,RNA and total protein were extracted,and the expression levels were detected by qPCR and Western blotting,respectively.Results Through high-throughput sequencing,the mutation site of c.583delC in the ACTA2 gene was found,and it was also confirmed that the heterozygous mutation at this site in the family was closely related to familial thoracic aortic aneurysm and dissection.The results of cell experiments showed that the mRNA and protein expression levels in the group transfected with the ACTA2-Leu195 * mutant plasmid were significantly decreased compared with those of the wild type,suggesting that the mutant could not express proteins normally.Conclusion Through clinical family studies and cell-level experiments,a new mutation site in ACTA2 leading to familial thoracic aortic aneurysm and dissection has been discovered,which provides a new approach for the screening,detection and clinical treatment of familial thoracic aortic aneurysm and dissection.

Objective: To explore the influencing factors for sarcopenia among elderly male patients with type 2 diabetes (T2DM), so as to provide the basis for the early prevention and treatment of sarcopenia. Methods: Male T2DM patients aged 60 and above admitted to Hangzhou First People's Hospital from January to December 2024 were selected as the study subjects. Demographic data, T2DM complications, and blood biochemical parameters were collected. Physical activity levels were assessed using the Chinese version of the International Physical Activity Questionnaire. The diagnosis of sarcopenia was made according to the diagnostic procedures and criteria established by the Asian Working Group for Sarcopenia in 2019. Factors affecting sarcopenia among elderly male patients with T2DM were analyzed using multivariable logistic regression model. Results: A total of 455 elderly male patients with T2DM were surveyed, with a mean age of (71.80±9.55) years. The predominant physical activity level was moderate with 226 cases accounting for 49.67%. The disease course of T2DM was mainly from 10-<20 years, with 229 cases accounting for 50.33%. There were 140 cases of T2DM complications, accounting for 30.77%. A total of 138 cases of sarcopenia were detected, with a prevalence of 30.33%. Multivariable logistic regression analysis showed that age (OR=1.077, 95%CI: 1.003~1.156), body mass index (<18.5kg/m2, OR=11.056, 95%CI: 3.343~36.547; 18.5~<25.0 kg/m2, OR=2.633, 95%CI: 1.420~4.881), physical activity level (low, OR=2.469, 95%CI: 1.421~4.292), chronic obstructive pulmonary disease (yes, OR=1.871, 95%CI: 1.091~3.206), T2DM complications (yes, OR=3.015, 95%CI: 1.516~6.001), glycated hemoglobin (≥7%, OR=2.822, 95%CI: 1.423~5.590) and albumin (OR=0.810, 95%CI: 0.662~0.991) were factors affecting sarcopenia among elderly male patients with T2DM (P<0.05). Conclusion Advanced age, body mass index <25.0 kg/m2, low physical activity level, chronic obstructive pulmonary disease, T2DM complications, high glycated hemoglobin and low albumin are associated with a higher risk of sarcopenia in elderly male patients with T2DM.

Executive function(EF) is an advanced cognitive function of the central nervous system, and is closely related to an individual's capacity for daily living and adaptation. Patients with attention deficit hyperactivity disorder (ADHD) typically exhibit significant executive dysfunction. While most existing studies on the executive function of individuals with ADHD are cross-sectional, and little is known about the longitudinal maturation process of related brain structures and functional connectivity patterns. The findings indicate that ADHD patients exhibit differential developmental trajectories in brain structural and functional connectivity compared with typically developing group.Furthermore, there is a lifespan association between abnormal brain network development and ADHD symptoms. This article aims to elucidate the characteristics of executive function deficits in ADHD patients across different developmental stages, examining their relationship with the nervous system’s development from a development perspective.

Objective:To investigate the effects of cyclic adenosine monophosphate response element binding protein(CREB)on the malignant biological behaviors of prostate cancer PC3 cells.Methods:Prostate cancer PC3 cells were routinely cultured.The overexpression control plasmid(vector),CREB overexpression plasmid(CREB-oe),knockdown control sequence(si-NC),and si-CREB sequence were transfected into PC3 cells using transfection reagents,namely vector,CREB-oe,si-NC,and si-CREB groups.Scratch wound healing assay,Transwell chamber assay,and flow cytometry were performed to evaluate cell migration,invasion,and cell cycle distribution,respectively.PC3 cells with CREB knockout were constructed using CRISPR/Cas9 technology,and a xenograft tumor model was employed to evaluate the impact of CREB knockout on tumor growth in vivo.Results:CREB was successfully knocked down or overexpressed in PC3 cells(all P<0.01).CREB overexpression significantly promoted,while its knockdown significantly inhibited the migration and invasion of PC3 cells(all P<0.01).Overexpression of CREB promoted the transition of PC3 cells into the S phase,whereas knockdown of CREB induced G1 phase arrest(all P<0.01).PC3 cells with CREB knockout were successfully constructed,and CREB knockout significantly inhibited the growth of PC3 cell-transplanted tumors(P<0.01).Conclusion:Knockdown or knockout of CREB inhibits migration and invasion of PC3 cells and induces G1 phase arrest,thereby suppressing tumor growth.

Executive function(EF) is an advanced cognitive function of the central nervous system, and is closely related to an individual's capacity for daily living and adaptation. Patients with attention deficit hyperactivity disorder (ADHD) typically exhibit significant executive dysfunction. While most existing studies on the executive function of individuals with ADHD are cross-sectional, and little is known about the longitudinal maturation process of related brain structures and functional connectivity patterns. The findings indicate that ADHD patients exhibit differential developmental trajectories in brain structural and functional connectivity compared with typically developing group.Furthermore, there is a lifespan association between abnormal brain network development and ADHD symptoms. This article aims to elucidate the characteristics of executive function deficits in ADHD patients across different developmental stages, examining their relationship with the nervous system’s development from a development perspective.

Objective To analyze the influencing factors of emergency coordination in the target hospital using an opti-mized SFIC model,identify key factors,and provide decision-making basis and recommendations.Methods A research frame-work was established through literature analysis.Experts were organized to score various factors via a questionnaire survey.The SFIC model and DEMATEL method were applied to analyze the relationships among the factors.Results An SFIC framework suitable for the target hospital was constructed,comprising 5 first-level indicators and 16 second-level indicators,with 10 core el-ements identified.Conclusion Establishing a coordinated emergency mechanism in the target hospital requires full consideration of its own characteristics and the 10 core elements.It is recommended that senior leadership be deeply involved,coordinate pa-tient triage,material storage,and personnel allocation mechanisms,and adopt a flat management concept to construct an emer-gency coordination management system for the target hospital.