Objective: To systematically evaluate the association between random urinary electrolyte levels and hypertension among children and adolescents in Guizhou Province, so as to provide evidence for region specific dietary guidance and interventions. Methods: In 2023, a total of 2 480 children and adolescents aged 6 to 17 years were recruited from a nine-year coherent style school in Guizhou Province in a children health cohort, with follow ups conducted in 2024 and 2025. Random urine samples were collected to measure urinary sodium, potassium, calcium, and chloride, and the urinary sodium to potassium ratio (Na/K) was calculated. The diagnosis of hypertension was based on the criteria established by the Chinese Guidelines for Hypertension Prevention and Treatment (2024 revised edition) and relevant research. Linear mixed models and multinomial Logistic regression were used to assess the associations of urinary electrolytes with systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), and the risk of hypertension. Results: At baseline, SBP, DBP, and MAP were 102.33 (94.33, 110.33), 61.33 (56.33, 67.00) and 75.22 (69.67, 81.33)mmHg among children and adolescents, respectively. After adjusting for potential confounders and two follow-ups, higher urinary Na/K ratio was positively associated with higher of SBP ( β=0.054, 95%CI =0.028- 0.081 ) and MAP ( β=0.038, 95%CI =0.010-0.066), as well as higher risks of hypertension ( OR=1.248, 95%CI =1.006-1.548) (all P <0.05). Higher of urinary chloride levels were positively associated with higher of SBP ( β=0.088, 95%CI = 0.009- 0.167), whereas higher of urinary potassium (SBP: β=-0.062, 95%CI =-0.096 to -0.028; MAP: β=-0.041, 95%CI = -0.078 to -0.005) and calcium levels (SBP: β=-0.036, 95%CI =-0.065 to -0.007) were negatively associated with blood pressure (all P < 0.05 ). Conclusion The urinary Na/K, as a comprehensive electrolyte marker, more stably reflects sodium load and excretory pressure in children and adolescents, and may serve as an early predictor of hypertension risk.

Objective: To construct a risk prediction model for pediatric metabolic dysfunction associated steatotic liver disease (MASLD), so as to provide practical tool for the early identification of high risk children. Methods: A healthy cohort of children in Southwest China was established from January 2021 to April 2025. A nested case-control study design was used to include 507 cases MASLD group and 507 cases in non MASLD group. Data on physical measurements, blood biochemical parameters, and liver ultrasound indicators were collected. Conditional Logistic regression was used to analyze the relationship between individual variables and MASLD, Lasso regression was applied for multivariable screening, and a high risk prediction model was constructed and presented in the form of a nomogram. Internal validation was performed using 10 repeated ten fold cross validations to assess model discrimination, accuracy, sensitivity, and specificity. Results: Logistic regression analysis showed that MASLD was associated with central obesity ( OR=22.11, 95%CI =15.62-31.29), apolipoprotein B ( OR=30.24, 95%CI =12.42-73.63), increased hepatorenal echo ( OR=326.00, 95%CI =183.87-578.01), hepatomegaly ( OR=24.98, 95%CI =16.66-37.46) (all P <0.05). The Lasso regression jointly selected 6 key variables, including hepatorenal echo, central obesity, hepatomegaly, right liver lobe inclination, body mass index, and alanine amino transferase. The results of cross validation showed that the average area under the curve (AUC) was 0.999 5, the average accuracy was 98.74%, and the sensitivity and specificity were 98.21% and 99.22% respectively, indicating a good predictive effect of the model. Conclusion The risk prediction model for high risk MASLD among children based on ultrasound and clinical indicators has good prediction effect, which is helpful for the early identification and risk stratification of pediatric MASLD.

In recent years, remarkable advances have been made in lung transplantation regarding donor evaluation, perioperative support, and immune regulation, laying a foundation for improving the long-term survival of recipients. The rational application of extended criteria donor lungs and the popularization of ex vivo lung perfusion technology have enhanced the utilization efficiency and safety of marginal donor lungs. Refined assessment of risk factors such as donors’ smoking history and infectious status has reduced the incidence of primary graft dysfunction and postoperative infection. In terms of recipient management, individualized assessment systems have been gradually optimized. The standardized application of intraoperative extracorporeal membrane oxygenation and the development of minimally invasive surgical techniques have effectively alleviated perioperative injuries. The optimization of postoperative immunosuppressive regimens and advances in rejection monitoring technologies have further improved the long-term survival of grafts. Nevertheless, chronic graft dysfunction and recurrent or refractory infections remain the major bottlenecks restricting long-term prognosis. Future research should focus on expanding donor sources, improving the repair quality of marginal donor lungs, promoting precise immunosuppression and anti-infection strategies, and comprehensively enhancing the long-term survival rate and quality of life of lung transplant recipients.

Objective To evaluate the effect of donor gender on short-term survival rate of lung transplant recipients. Methods A retrospective analysis was conducted on the data of 1 066 lung transplant recipients. The log-rank test was used to evaluate the differences in short-term fatality among different donor gender groups and donor-recipient gender combination groups. Multivariate Cox regression, propensity score (PS) regression, and propensity score matching (PSM) were employed to control for confounding factors and further assess the differences in fatality. Subgroup analyses were also performed based on donor gender. Results Multivariate Cox regression analysis showed no statistically significant differences in fatality at 30 days, 1 year, 2 years and 3 years postoperatively between male and female donor groups (all P>0.05). After PS regression and PSM, univariate Cox regression analysis indicated that recipients from female donors had a higher fatality at 2 years postoperatively compared to those from male donors, with hazard ratios (95% confidence intervals) of 1.29 (1.01-1.65) and 1.36 (1.03-1.80) respectively. Multivariate Cox regression analysis also revealed no statistically significant differences in fatality at various follow-up time points among different donor-recipient gender combination groups (all P>0.05). Subgroup analyses based on donor sex showed no statistically significant differences in fatality among recipients of different gender within either male or female donor groups (all P>0.05). Conclusions Female donors may reduce the short-term postoperative survival rate of lung transplant recipients, but this negative impact is not sustainable in the long term. At present, there is no evidence to support the inclusion of sex as a factor in lung allocation rules.

Objective To analyze the characteristics of postoperative hospital-acquired infections and drug sensitivity in lung transplant recipients over the past 5 years in a single center. Methods A total of 724 lung transplant recipients at Wuxi People's Hospital from January 2019 to December 2023 were selected. Based on the principles of hospital-acquired infection diagnosis, a retrospective analysis was conducted on the hospital infection situation and infection sites of lung transplant recipients, and an analysis of the distribution of hospital-acquired infection pathogens and their antimicrobial susceptibility test status was performed. Results Among the 724 lung transplant recipients, 275 cases of hospital-acquired infection occurred, with an infection rate of 38.0%. The case-time infection rate decreased from 54.2% in 2019 to 22.8% in 2023, showing a downward trend year by year (Z=30.98, P<0.001). The main infection site was the lower respiratory tract, accounting for 73.6%. The pathogens were mainly Gram-negative bacteria, with the top four being Acinetobacter baumannii (37.1%), Pseudomonas aeruginosa (17.3%), Klebsiella pneumoniae (13.7%), and Stenotrophomonas maltophilia (13.4%), with imipenem resistance rates of 89%, 53%, 58% and 100%, respectively. Gram-positive bacteria were mainly Staphylococcus aureus (3.6%), with a methicillin resistance rate of 67%. Conclusions Over the past 5 years, the hospital-acquired infections in lung transplant recipients have shown a downward trend, mainly involving lower respiratory tract infections, with the main pathogens being Acinetobacter baumannii, Pseudomonas aeruginosa and Klebsiella pneumoniae, all of which have high resistance rates to imipenem.

Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

Idiopathic pulmonary fibrosis （IPF） can be classified as pulmonary collateral disease，and its pathogenesis is mainly characterized by the loss of Qi meridian nourishment，the loss of Yin meridian nourishment，and the formation of blood stasis in the blood vessels. Qi Yin deficiency is the pathological basis that runs through IPF，and obstruction of meridians and collaterals is a key element in the development of the disease. The dysfunction of "spleen being in charge of the defensive function" is closely related to the formation of the pathological pattern of "lung deficiency and collateral stasis" in IPF. The term "spleen being in charge of the defensive function" originated from the Yellow Emperor's Inner Canon. If the spleen is healthy，the Qi will be filled with vitality. Positive energy is stored inside，evil cannot be dried up. Its concept is quite similar to the immune defense function in modern medicine. If the principle of "spleen being in charge of the defensive function" is lost，the key structure and function of the IPF alveolar epithelial barrier may be abnormal，and it can interact with various innate immune cells to promote inflammation and fibrosis processes. Therefore，this article explains the imbalance of immune homeostasis in IPF alveolar epithelium from two aspects：the barrier function of alveolar epithelial cells（AECs） and their interaction with innate immune cells. And based on the theory of "spleen being in charge of the defensive function"，using traditional Chinese medicine for strengthening the spleen and nourishing Qi to treat IPF from the perspective of the spleen. This not only strengthens the scientific connotation of "spleen being in charge of the defensive function" in the pathogenesis of IPF，but also provides new research directions and ideas for its future clinical prevention and treatment.

Multidrug resistant organism refers to bacteria that are insensitive to three or more antibiotics commonly used in clinic, including Pseudomonas aeruginosa, Acinetobacter Baumannii and Klebsiella pneumoniae, etc. MDRO infection is a major factor affecting the survival rate after lung transplantation (LTx), accounting for 30% of the causes of death in the first year after transplantation. Antibiotic treatment has low specificity and is prone to drug resistance. The development of new drugs has a long cycle and high cost, with significant limitations. Phage has high specificity for bacteria, which can proliferate in large quantities in the infected lesion and co-evolve with bacteria during the action process. Phage also have a good killing effect on MDRO, which is expected to make up for the deficiencies of existing antibiotic therapy. This article reviews the development background and mechanism of action of phage therapy, and summarizes its application status and early clinical trial results in the field of LTx, in order to providing new thinking paths for clinical work.

ObjectiveTo analyze the genomic characteristics of Streptococcus pyogenes (GAS) isolated from children with respiratory tract infections in a tertiary hospital in Jinshan District of Shanghai during 2013‒2024, to compare the changes in trend for genomic characteristics before and after 2000, and to provide scientific data for the prevention and control of GAS infections. MethodsGAS strains isolated from children with respiratory tract infections in this hospital were collected from 2013 to 2024. Antimicrobial susceptibility of the isolated strains to 12 antibiotics, including penicillin, cefotaxime, cefepime, linezolid, vancomycin, meropenem, chloramphenicol, ofloxacin, levofloxacin, erythromycin, clindamycin, and tetracycline, was determined using broth microdilution plate method. Besides, whole genome sequencing (WGS) was used to analyze multilocus sequence type (MLST), emm typing, carriage of superantigen genes, mobile genetic element (MGE), carriage of virulence gene, and genomic phylogenetic tree of the isolated strains. ResultsA total of 50 GAS strains were collected and identified from children with respiratory tract infections aged 4‒14 years old, and the resistance rates of those isolates to erythromycin, clindamycin, and tetracycline were 100.00%, 100.00%, and 86.00%, respectively. There were two emm types in the GAS isolates; the emm12 type accounted for 76.00% (38/50), corresponding to ST36 type, and the emm1 type accounted for 24.00% (12/50), corresponding to ST28, ST1274, and new-1 types. There was a statistically significant difference in the constitution of the MLST before and after 2020 (P=0.015). All the isolates carried the superantigen genes speC, speG, ssa, and smeZ. The predominant emm12 isolates belonged to the Clade Ⅱ, carrying the mobile elements ICE-emm12 (harboring erythromycin-resistance gene ermB and tetracycline-resistance gene tetM) and ΦHKU.vir (carrying virulence genes speC and ssa). The emm1 isolates carried the mobile elements ICE-HKU488 (harboring erythromycin-resistance gene ermB and tetracycline-resistance gene tetM) and ΦHKU488.vir (carrying virulence genes speC and ssa), and had close phylogenetical relationships with isolates from Hong Kong, China. No M1_UK new clone strains were found. The ST1274 isolates of emm1 were newly discovered in 2020‒2024, and belonged to a separate phylogenetic clade. ConclusionGAS strains isolated from children with respiratory tract infections in a tertiary hospital in Jinshan District of Shanghai exhibit a high resistance to erythromycin, clindamycin, and tetracycline. It is recommended that the clinical treatments change to use other antimicrobial drugs, such as penicillin, third-generation cephalosporins, and fluoroquinolones. During 2020‒2024, a new ST1274 clone strain is discovered in emm1 GAS isolates, without M1_UK new clone strains being found. It is essential to continuously concern locally prevalent GAS strains and perform early identification of MLST types to promptly monitor the internal changes of the bacterial population and potential prevalence of new clones.

Lung cancer is the most prevalent malignant tumor worldwide. For lung cancer patients with multiple intrapulmonary metastases or impaired lung function, complete tumor resection is challenging, and the prognosis is poor. Lung transplantation demonstrates potential therapeutic value in achieving complete tumor resection, improving lung function, and enhancing quality of life. Advances in tumor detection technologies such as positron emission tomography-computed tomography and circulating tumor DNA, along with the development of comprehensive treatment strategies for lung cancer, provide powerful tools for accurately predicting tumor recurrence and treatment outcomes following lung transplantation. The feasibility of lung transplantation as a treatment for lung cancer is receiving increasing attention. This article reviews the history and clinical management of lung transplantation for lung cancer.