OBJECTIVE To explore the clinical characteristics of bronchial asthma with secondary pulmonary infec-tions in children and compare the expressions of transcriptomes in peripheral blood between the bronchial asthma with secondary pulmonary infections and the bronchial asthma without the secondary pulmonary infections.METHODS The clinical data were collected from 425 children with bronchial asthma who were treated in respirato-ry medicine department of Children's Hospital of Anhui Province from Apr.2022 to Feb.2025 and were retrospec-tively analyzed.The enrolled children were divided into the infection group with 60 cases and the non-infection group with 365 cases according to the status of complication with pulmonary infections.The clinical characteristics were compared between the infection group and the non-infection group.The gene expression profile sequencing was carried out for peripheral blood mononuclear cells by transcriptome high throughput technology,and the bio-logical information was analyzed.RESULTS There were significant differences in course of asthma,frequencies times of acute attack,complication with nasosinusitis or allergic rhinitis,standardized use of antibiotics and intra-venous use of glucocorticoids between the two groups of children(P＜0.05).Totally 60 children had secondary pulmonary infections,with the infection rate 14.12％.Totally 73 strains of pathogens were isolated,43.84％of which were gram-positive bacteria,and 56.16％were gram-negative bacteria.As compared with the non-infection group,there were 1578 genes with the changed expression in the infection group,and the expressions of the genes such as nuclear factor κB were upregulated.The differentially expressed genes were primarily enriched in immuno-regulation-related pathways,including proinflammatory factor signal transduction,interacted networks of cyto-kines and its receptors,T lymphocyte activation signal transduction and other biological processes.CONCLUSION The specific clinical characteristics and abnormal immune pathways may jointly result in the pulmonary infec-tions in children with the asthma and provide theoretical bases for early identification of the children at high risk of pneumonia and targeted intervention.

To evaluate the diagnostic performance of a three-gene (GBP5, DUSP3, and TBP) tuberculosis (TB) score in bacteriologically-negative pulmonary tuberculosis, and to develop and validate a discriminative diagnostic model by integrating inflammatory cytokines (IL-2, IL-5, IL-17, and IFN-γ). A prospective cohort study was conducted, a total of 238 patients admitted to the Affiliated Infectious Disease Hospital of Soochow University from May 2023 to May 2024 were enrolled, including 119 pathogen-negative pulmonary tuberculosis patients and 119 patients with other pulmonary diseases (OPD). The GeneXpert MTB-HR kit was used to detect the three-gene TB scores from residual blood routine samples. The diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis. Concurrent data on 12 inflammatory cytokines were collected from patients. Potential biomarkers were screened using univariate analysis and multivariate logistic regression, and selected features were incorporated into the construction of four machine learning models: logistic regression, support vector machine (SVM), K-nearest neighbors (KNN), and adaptive boosting (AdaBoost). The samples were randomly split into a training set (85%) and a test set (15%). The models were trained on the training set, and their diagnostic performance was validated using the test set. The predictive ability of each model was evaluated based on ROC curve parameters. The results showed that the three-gene TB score alone yielded an AUC of 0.539 (sensitivity: 50.94%, specificity: 60.50%) in distinguishing pathogen-negative pulmonary tuberculosis from OPD. Four non-col-linear inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) were selected and combined with the three-gene TB score to construct machine learning models. The AdaBoost model demonstrated the best performance, achieving an AUC of 0.893 (sensitivity: 85.4%, specificity: 73.0%) in the training set and an AUC of 0.873 (sensitivity: 88.2%, specificity: 72.2%) in the test set. In conclusion,the AdaBoost diagnostic model integrating the three-gene TB score with inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) exhibits superior discriminating performance for pathogen-negative pulmonary tuberculosis compared to OPD, significantly outperforming the three-gene TB score alone.

Objective:To analyze the genetic characteristics of clinical manifestations in children with KBG syndrome due to microdeletions.Methods:A retrospective case summary was conducted. Four children diagnosed with KBG syndrome due to 16q24.3 microdeletion at Children′s Hospital of Zhengzhou University from July 2021 to April 2024 were enrolled.Their clinical manifestations, biochemical parameters, imaging data, whole-exome sequencing results, treatments and follow-up outcomes were reviewed.Results:The cohort included two males and two females (diagnosed at 81, 18, 26, and 56 months of age, respectively), from four unrelated families. All patients exhibited peculiar facial features (Cupid′s bowed-shaped lips, prominent ears, thick eyebrows), skeletal abnormalities (brachydactyly, abnormal ribs, short stature, etc.), ocular anomalies (astigmatism, strabismus, amblyopia, etc.), intrauterine growth restriction, and developmental retardation. Case 2, 3, 4 had cranial imaging abnormalities, including thin anterior pituitary lobes with pineal cyst, left ventricular cyst, and abnormal pituitary stalk or lateral ventricles with sinusitis, respectively. Two children had intellectual disability, two had congenital heart disease, and one had delayed bone age and hair abnormalities. Whole exome genomic sequencing confirmed 16q24.3 microdeletions encompassing ANKRD11 gene in all four cases. Two children treated with recombinant human growth hormone achieved height increments of 1.5 s and 0.4 s, respectively. Conclusions:Typical features of 16q24.3 microdeletion-induced KBG syndrome include peculiar facial features, macrodontia, skeletal anomalies, neurological abnormalities, and ocular defects. Genetic testing is essential for definitive diagnosis. The treatment of KBG syndrome requires early diagnosis and multidisciplinary collaboration to implement individualized treatment for multisystem symptoms.

ObjectiveTo explore the clinical characteristics and risk factors for 30-day mortality in hospitalized patients with bloodstream infections (BSI) caused by carbapenem-resistant Klebsiella pneumoniae (CRKP). MethodsData were obtained retrospectively from the electronic medical records of inpatients at a tertiary A-grade hospital in Shanghai from January 2016 to December 2023. The collected variables included age, gender, department, surgical treatment, empirical antibiotic therapy, Pitt Bacteremia score (PBS), Charlson comorbidity index (CCI), INCREMENT-CPE score (ICS), length of hospital stay, the time from CRKP-BSI to discharge and, etc. The follow-up period ended upon discharge, with the follow-up outcomes defined as in-hospital mortality or discharge. The endpoint was defined as death within 30 days (including day 30) caused by CRKP-BSI or infection-related complications. Patients who survived within 30 days after CRKP-BSI were classified into the survival group, while those who died within 30 days were classified into the death group. Independent risk factors for 30-day mortality in patients with CRKP-BSI were analyzed using univariate and multivariate Cox regression analysis. ResultsA total of 71 hospitalized patients with CRKP-BSI, comprising 51 males and 20 females, with an average age of (65.12±18.25) years, were included during the study period. The M (P₂₅, P₇₅) of hospital stay were 37.00 (24.00, 56.00) days, and M (P₂₅, P₇₅) of the duration from CRKP-BSI to discharge or death were 18.00 (7.00, 35.00) days. There were 20 deaths (28.17%) in the death group and 51 survivors (71.83%) in the survival group. The results of multivariate Cox regression analysis showed that the ICS as an independent risk factor for 30-day mortality in CRKP-BSI patients (HR=1.379, 95%CI: 1.137‒1.671, P=0.001). Each 1-point increase in the ICS was associated with a 37.9% increase in the risk of mortality. ConclusionThe ICS is found to be a risk factor for 30-day mortality in patients with CRKP-BSI, which may facilitate the prediction for the risk of 30-day mortality and thereby support clinical decision-making for patients with CRKP-BSI.

Objective:To explore the current state of thriving at work among orthopedic nurses and analyze its influencing factors, so as to provide a basis for nursing administrators to promote the development of orthopedic nurses.Methods:Convenience sampling was used to select 469 orthopedic nurses from the Honghui Hospital, Xi'an Jiaotong University from January to February 2025 as research subjects. The General Information Questionnaire, Thriving at Work Scale (TWS), Leisure Crafting Scale (LCS), and General Self-Efficacy Scale (GSES) were used to investigate general information, thriving at work, leisure crafting, and self-efficacy. Pearson correlation analysis was employed to investigate the correlation between orthopedic nurses' thriving at work, leisure crafting, and general efficacy. Multiple linear regression was used to analyze the factors influencing the thriving at work of orthopedic nurses.Results:A total of 469 questionnaires were distributed, with 442 valid responses collected, with a valid response rate of 94.24%. The TWS score of orthopedic nurses was (35.70±5.20). Pearson correlation analysis revealed that scores on TWS were positively correlated with scores on both LCS and GSES ( r=0.593, 0.569; P<0.01). Multiple linear regression analysis revealed that being an only child, liking nursing work, interest in the nursing profession, leisure crafting, and general self-efficacy were factors influencing the thriving at work of orthopedic nurses ( P<0.05) . Conclusions:The thriving at work of orthopedic nurses is at a moderate level. Orthopedic nurses who are only children, the better the leisure crafting and general self-efficacy of orthopedic nurses have the higher their thriving at work. Orthopedic nursing managers should provide a supportive environment to enhance orthopedic nurses' intrinsic motivation, thereby promoting their thriving at work.

Objective Based on the transcriptome data of Scolopendra subspinipes mutilans L.Koch,SSR primers were designed and developed to evaluate the genetic diversity and analyze the population structure of the germplasm resources of S.mutilans,which can provide a theoretical basis for the development and utilization of the germplasm resources of S.mutilans.Methods We collected 301 samples of S.mutilans from major production areas,and analyzed the population genetic diversity and population structure of the germplasm resources of S.mutilans using 18 pairs of highly polymorphic SSR primers after screening.Results A total of 142 alleles were amplified by 18 primer pairs across all samples,with an average of 7.89 alleles amplified per locus.The mean of observed heterozygosity(HO)of the 18 populations was 0.39,the mean of expected heterozygosity(HE)was 0.46,the mean of polymorphism information content(PIC)was 0.41,the mean of Nei's gene diversity index(H)was 0.46,and the mean of Shannon information index(I)was 0.81.The results showed that the wild resources of S.mutilans collected in this study had a high level of genetic diversity,Four populations in Anhui and Zhejiang had higher genetic diversity than populations in Hubei.Molecular analysis of variance(AMOVA)of the population showed that most of the genetic variation in the materials of this study mainly occurred within populations.The STRUCTURE analysis of germplasm resources showed that all germplasm could be divided into four populations.Conclusion This study showed that the natural population of S.mutilans possesses high genetic diversity with high genetic variation and is better adapted to changes in the environment.Our results provided a research basis for the rational utilization of the germplasm resources of S.mutilans and the selection and breeding of superior varieties.

Objective:To explore the current state of thriving at work among orthopedic nurses and analyze its influencing factors, so as to provide a basis for nursing administrators to promote the development of orthopedic nurses.Methods:Convenience sampling was used to select 469 orthopedic nurses from the Honghui Hospital, Xi'an Jiaotong University from January to February 2025 as research subjects. The General Information Questionnaire, Thriving at Work Scale (TWS), Leisure Crafting Scale (LCS), and General Self-Efficacy Scale (GSES) were used to investigate general information, thriving at work, leisure crafting, and self-efficacy. Pearson correlation analysis was employed to investigate the correlation between orthopedic nurses' thriving at work, leisure crafting, and general efficacy. Multiple linear regression was used to analyze the factors influencing the thriving at work of orthopedic nurses.Results:A total of 469 questionnaires were distributed, with 442 valid responses collected, with a valid response rate of 94.24%. The TWS score of orthopedic nurses was (35.70±5.20). Pearson correlation analysis revealed that scores on TWS were positively correlated with scores on both LCS and GSES ( r=0.593, 0.569; P<0.01). Multiple linear regression analysis revealed that being an only child, liking nursing work, interest in the nursing profession, leisure crafting, and general self-efficacy were factors influencing the thriving at work of orthopedic nurses ( P<0.05) . Conclusions:The thriving at work of orthopedic nurses is at a moderate level. Orthopedic nurses who are only children, the better the leisure crafting and general self-efficacy of orthopedic nurses have the higher their thriving at work. Orthopedic nursing managers should provide a supportive environment to enhance orthopedic nurses' intrinsic motivation, thereby promoting their thriving at work.