ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements in different risk populations of heart failure complicated with type 2 diabetes. MethodsClinical data of 675 type 2 diabetes patients were retrospectively collected. Lasso-multivariate Logistic regression was used to construct a clinical prediction nomogram model. Based on this， 441 non-heart failure patients were divided into a low-risk group （325 cases） and a high-risk group （116 cases） according to the median risk score of heart failure complicated with type 2 diabetes. TCM diagnostic information （four diagnostic methods） was collected for both groups， and factor analysis was applied to summarize the distribution of TCM syndrome elements in different risk populations. ResultsLasso-multivariate Logistic regression analysis identified age， disease duration， coronary heart disease， old myocardial infarction， arrhythmia， absolute neutrophil count， activated partial thromboplastin time， and α-hydroxybutyrate dehydrogenase as independent risk factors for heart failure complicated with type 2 diabetes. These were used as final predictive factors to construct the nomogram model. Model validation results showed that the area under the curve （AUC） of the receiver operating characteristic （ROC） curve for the modeling group and validation group were 0.934 and 0.935， respectively. The Hosmer-Lemeshow test （modeling group P = 0.996， validation group P = 0.121） indicated good model discrimination. Decision curve analysis showed that the curves for All and None crossed in the upper right corner， indicating high clinical utility. The low-risk and high-risk groups each obtained 14 common factors. Preliminary analysis revealed that the main disease elements in the low-risk group were qi deficiency （175 cases， 53.85%）， dampness （118 cases， 36.31%）， and heat （118 cases， 36.31%）， with the primary locations in the spleen （125 cases， 38.46%） and lungs （99 cases， 30.46%）. In the high-risk group， the main disease elements were yang deficiency （73 cases， 62.93%）， blood stasis （68 cases， 58.62%）， and heat （49 cases， 42.24%）， with the primary locations in the kidney （84 cases， 72.41%） and heart （70 cases， 60.34%）. ConclusionThe overall disease characteristics in different risk populations of type 2 diabetes patients with heart failure are a combination of deficiency and excess， with deficiency being predominant. Deficiency and heat are present throughout. The low-risk population mainly shows qi deficiency with dampness and heat， related to the spleen and lungs. The high-risk population shows yang deficiency with blood stasis and heat， related to the kidneys and heart.

ObjectiveTo study the effect of Taikong Yangxin Pills on the metabolism of simulated weightless rats based on metabolomics and discuss the metabolism mechanism. MethodsIn the simulated space capsule environment on the ground， the rat model of simulated weightlessness was established by the tail suspension method. Rats were randomly grouped as follows： out-of-capsule control， in-capsule control， model， and high （3.0 g·kg^-1） and low （1.5 g·kg^-1） doses of Taikong Yangxin Pills， and they were administrated with corresponding drugs by gavage for 28 days. The serum levels of endogenous metabolites in rats were determined by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF/MS）. The obtained data were processed by principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） to screen for differential metabolites and potential biomarkers. MetaboAnalyst 5.0 was used for pathway enrichment analysis to explain the metabolic regulation mechanism of the drug. ResultsCompared with the out-of-capsule control group， the in-capsule control group showed elevated levels of thirteen metabolites， including 14-hydroxyhexadecanoic acid， linoleic acid， and α-linolenic acid （P<0.05）， which suggested that the space capsule environment mainly affected the metabolism of α-linolenic acid and linoleic acid in the rats. Compared with the in-capsule control group， the model group showed lowered levels of fourteen metabolites， including 4-imidazolone-5-propionic acid， isocitric acid/citric acid， and L-tyrosine （P<0.05）， which were recovered after the treatment with Taikong Yangxin pills （P<0.05）. The pathway enrichment analysis revealed that weightlessness induced by tail suspension and drug intervention mainly involved the phenylalanine， tyrosine， and tryptophan biosynthesis， tyrosine metabolism， histidine metabolism， and citric acid cycle. ConclusionThe simulated space capsule environment and simulated weightlessness induced by tail suspension can both affect the metabolism level of rats. Taikong Yangxin pills can ameliorate the metabolic abnormality in the rat model of weightlessness by regulating various amino acids and energy metabolism-related pathways.

EGFR-mutant non-small cell lung cancer (NSCLC) is a common type of lung cancer, with EGFR tyrosine kinase inhibitors (EGFR-TKIs) being the standard first-line treatment. However, most patients with NSCLC eventually develop resistance to EGFR-TKIs. Studies on the mechanism underlying EGFR-TKI resistance have driven the development of personalized and precision medicine. Current strategies to address resistance include targeted therapy, immunotherapy, and novel drug treatments. Selecting the appropriate personalized treatment plan is crucial for improving the survival rate and quality of life of patients with EGFR-mutant NSCLC. Thus, this study provides a brief review of the current status and future perspectives in the treatment of EGFR-mutant NSCLC after progression on EGFR-TKI therapy.

Background A diverse cohort of patients and susceptible individuals congregate in healthcare facilities, where exposure to pathogenic microorganisms associated with respiratory infectious diseases constitutes a significant risk factor for cross-infection. Central air-conditioning ventilation systems improve some indoor environment indicators while exacerbating the risk of transmission of respiratory infectious diseases. Objective To investigate the distribution characteristics of microbial communities in the central air-conditioning ventilation systems of hospitals, providing a scientific basis for the selection of microbial indicators in hygiene standards for hospital central air-conditioning ventilation systems and for hospital risk early warning systems. Methods In October 2023, two central air-conditioning ventilation systems were selected from a Grade 3A hospital in Shanghai: one was an all-air air-conditioning system serving the waiting area on the ground floor, and the other was a fan coil plus fresh air system serving the outpatient area on the third floor. Samples from four different components of the ventilation systems—air outlets, filters, surface coolers, and condensate trays—were collected for high-throughput sequencing of the 16S rRNA gene to analyze bacterial communities. Alpha-diversity and beta-diversity analyses were performed to investigate the microbial community composition and diversity characteristics of the hospital central air-conditioning ventilation systems. Functional analysis was conducted to determine the relative abundance of bacterial functions in these systems.Results A total of 528 operational taxonomic units (OTUs) were identified, encompassing 20 bacterial phyla, 37 classes, 79 orders, 123 families, and 240 genera. The analysis revealed that the bacterial community was predominantly composed of Proteobacteria, Gemmatimonadates, Bacteroidetes, and Actinobacteria. The diversity analysis indicated that bacterial community richness and diversity were highest in the condensate trays, while no statistically significant differences (P > 0.05) were observed in the bacterial community composition among the air outlets, filters, and surface coolers. The functional analysis showed that the bacterial communities in the central air-conditioning ventilation systems primarily exhibited chemoheterotrophic, oxidative energy-dependent heterotrophic, and ureolytic functional characteristics. Conclusion The dominance of Proteobacteria suggests that this phylum exhibits strong adaptability in the central air-conditioning ventilation systems, possibly related to its ability to survive and reproduce under varying environmental conditions. The diversity analysis indicates that the condensate tray is a critical area for bacterial proliferation in the central air-conditioning ventilation systems. The similarity in environmental conditions among the air outlets, filters, and surface coolers result in similar bacterial community structures. The functional analysis reveals that the bacterial communities possess robust energy conversion and metabolic capabilities, potentially contributing to processes such as organic matter decomposition and nitrogen cycling within the central air-conditioning ventilation systems.

Objective: This study aims to explore the association between oral lichen planus (OLP) and Hashimoto’s thyroiditis (HT) and its anti-thyroid antibodies to provide clinical evidence for thyroid disease screening in patients with OLP. Methods: This study was approved by the institutional ethics committee. A total of 125 clinically and histopathologically confirmed patients with OLP were enrolled as the case group, and they were matched with 125 non-OLP controls based on sex and age. Demographic data (gender, age, lesion type, and disease duration) were collected from both groups. Serum levels of thyroid peroxidase antibodies (TPOAb) and thyroglobulin antibodies (TgAb) were measured to analyze their associations with sex, age, lesion type, and disease duration in patients with OLP. Result: The prevalence of HT in patients with OLP was 31.20%, significantly higher than that in the control group (9.60%) (χ2=18.504, P<0.001). The prevalence of HT in female patients with OLP (39.13%) was significantly higher than that in male patients (9.09%)（χ2=10.93，P<0.001）. The positivity rate of thyroid peroxidase antibodies (TPOAb) in patients with OLP (17.6%) was significantly higher than in the control group (4.0%) (χ2=10.989, P<0.001). The TPOAb positivity rate was significantly higher in female patients (22.83%) than in male patients (3.03%) (χ2=5.210, P=0.014). There was no statistically significant difference in the positivity rate of TgAb between patients with OLP (7.2%) and the control group (3.2%) (P>0.05). Patients with erosive lesions had a significantly higher TPOAb positivity rate (25.0%, 17/68) compared to those with non-erosive lesions (8.77%, 5/57), and the difference was statistically significant (χ2=4.831, P=0.028). Logistic regression analysis revealed that female patients with OLP had an 8.935-fold higher risk of being TPOAb positive compared to males (OR=8.935, 95%CI: 1.134-70.388, P=0.038). Patients with erosive OLP lesions had a 3.199-fold higher risk of TPOAb positivity compared to those with non-erosive lesions (OR=3.199, 95%CI: 1.064-9.618, P=0.038). Conclusion The prevalence of HT is higher in patients with OLP, with higher positivity rates of anti-thyroid antibodies observed in female patients and those with erosive OLP lesions. This suggests that thyroid disease screening should be incorporated into the clinical management of patients with OLP, especially for women and patients who present with erosive lesions.

Objective: To analyze the correlation between ABO blood group compatibility and the risk of early complications after liver transplantation, and to identify risk factors for clinical intervention. Methods: Clinical data of 404 liver transplant recipients and donors were collected. Based on donor-recipient ABO matching, patients were divided into three groups: ABO-Identical (ABO-Id, n=313), ABO-compatible (ABO-c, n=68), ABO-incompatible (ABO-i, n=23). Clinical data, early complications, and associated risk factors were compared. Results: Compared with the ABO-Id, ABO-c and ABO-i recipients were younger, had a higher proportion of primary biliary atresia, and more frequently received living-donor transplantation from relatives (P<0.05). Overall complication rates were: ABO-c 47.1% (32/68), ABO-i 43.5% (10/23), ABO-Id 39.3% (123/313), with no significant intergroup difference (P>0.05). Infection was the most common complication [ABO-c 30.9% (21/68), ABO-i 21.7% (5/23), ABO-Id 17.9% (56/313)]. No significant differences were found in infection, vascular/biliary or acute kidney injury/renal failure among the three groups (P>0.05). However, ABO-c group had significantly higher rates of ascites/abscess (20.6% vs 8.9%, P<0.05) and pleural effusion (14.7% vs 7.0%, P<0.05) than ABO-Id group. There was no significant difference in the incidence of complications and ABO blood group between ABO non-Identical (ABO-c and ABO-i) and Identical groups. Logistic regression analysis showed that the risk of ascites/abscess in ABO non-Identical was higher than that in ABO-Id liver transplantation (P<0.05), and the risk of ascites/abscess after ABO-c liver transplantation was 2.246 times higher than that of ABO-Id liver transplantation. The primary biliary atresia were a risk factor for postoperative ascites/abscess. Conclusion: Enhanced postoperative management is critical for ABO-nonidentical (especially ABO-compatible) recipients, and those with biliary atresia to reduce complication risks.

Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.

Objective:To evaluate the effect of virtual reality arthroscopic simulation system combined with case-based learning (CBL) in orthopedic clinical teaching.Methods:From January 2021 to June 2022, a total of 36 residents who took the standardized residency training at Department of Articular Orthopedics in The Third Affiliated Hospital of Soochow University were enrolled in this study. They were randomized into an experimental group and a control group, with 18 trainees in each group. The experimental group adopted the virtual reality arthroscopic simulation system combined with CBL teaching mode, while the control group adopted simple endoscopic simulation training box with traditional teaching mode. Theoretical and practical tests and questionnaire survey were carried out to evaluate the teaching effects in two groups. SPSS 22.0 was performed to conduct t-test on the measurement data between the two groups. Results:The theoretical and practical test scores of the experimental group [(89.39±3.09) and (82.72±4.28)] were better than those of the control group [(86.22±4.43) and (76.61±5.65)], with statistically significant differences ( t= 2.49, P=0.018; t=3.66, P=0.001). The questionnaire survey showed that the experimental group was better than the control group in creating novel forms of courses [(4.94±0.24) vs. (4.11±0.58), t=5.62, P<0.001], simulating more real scenes [(4.83±0.38) vs. (3.78±0.43), t=7.80, P<0.001], inspiring learning interests [(4.78±0.43) vs. (4.00±0.59), t=4.51, P<0.001], improving practical skills [(4.83±0.38) vs. (3.83±0.51), t=6.61, P<0.001], and building career confidence [(4.50±0.62) vs. (3.06±0.54), t=7.47, P<0.001], with statistically significant differences (all P<0.001). Conclusions:The virtual reality arthroscopic simulation system combined with CBL teaching mode can better simulate the real clinical scenes, help inspire the interest of learning and quickly improve practical skills, thereby improving the effect of orthopedic clinical teaching.

Objective:To explore the behavioral intentions of pediatric nurses towards using vascular visualization devices in light of the theory of planned behavior.Methods:This was a qualitative study. From March to November 2023, 20 pediatric nurses from Peking University First Hospital were selected using purposive sampling for semi-structured interviews. The interview data were analyzed and themes were extracted using Colaizzi 7-step analysis method.Results:The behavioral intentions of pediatric nurses towards the use of vascular visualization devices could be summarized into nine themes based on the theory of planned behavior. Attitudes towards behavior included positive evaluations, negative evaluations, and unclear information. Subjective norms involved peers' attitudes as well as expectations and pressures from patients. Perceived behavioral control encompassed workload, level of knowledge, more limited equipment performance, and external resource support.Conclusions:The behavioral intentions of pediatric nurses towards the use of vascular visualization devices are influenced by their attitudes towards the behavior, subjective norms, and perceived behavioral control. Nursing managers should conduct standardized training on vascular visualization devices to enhance nurses' knowledge and skills, while also valuing the sources of various supports to create a supportive environment for the use of vascular visualization devices. This will improve the usage experience of pediatric nurses and promote the use of vascular visualization devices in pediatric nursing practice.

Objective:To gain a deep understanding of the disease experience of children with transition nephrotic syndrome, so as to provide a reference for developing targeted nursing measures and improving coping abilities in clinical practice.Methods:This study was a phenomenological study. From May to June 2023, a semi-structured interview was conducted using purposive sampling method to select children with transition nephrotic syndrome ( n=13) who received outpatient or inpatient treatment at Children's Hospital of Soochow University. Colaizzi 7-step method was used to analyze interview data and extract themes. Results:The disease experience of children with transition nephrotic syndrome were summarized into five themes, including inadequate disease self-management ability (lack of disease cognition and management knowledge, weak self-management awareness), excessive disease-related burden (significant academic impact, frequent adverse drug reactions, and heavy self-perceived burden), increased fear of negative evaluation, tense parent-child relationships, and growth and gain (feeling the care of others and achieving self-growth) .Conclusions:Children with transition nephrotic syndrome experience various challenges brought by growth, development, and disease, with heavy disease burden and psychological pressure. Medical and nursing staff should closely monitor children's emotional and psychological changes, value their disease experience, provide targeted psychological counseling and support in a timely manner, and reduce their adverse disease experience.