Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

Objective: To investigate the annual trend and influencing factors of screening myopia prevalence among children and adolescents in Tianhe District, Guangzhou from 2021 to 2024, so as to provide a scientific basis for optimizing targeted and precise regional myopia prevention and control strategies. Methods: From 2021 to 2024, a stratified cluster random sampling method was adopted to recruit 10 132 students ranging from senior kindergarten to senior high school from fixed monitoring sites for myopia screening. Additionally, a questionnaire survey on myopia related factors was administered to 7 115 students in grade 4 and above. Generalized estimating equation (GEE) models were used to analyze the annual changing trends and interaction effects, and mixed effects models were performed for sensitivity analysis. Results: The screening myopia prevalence among children and adolescents in Tianhe District from 2021 to 2024 was 58.9%, 57.3%, 56.8%, and 54.7%, respectively, and showed a statistically significant difference ( χ 2=9.06, P <0.05). The prevalence rates among senior kindergarten, primary school, junior high school, regular senior high school, and vocational high school students were 8.7%, 40.7%, 74.3%, 86.7%, and 75.6%, respectively （χ 2= 2 493.11， P <0.05). The prevalence was significantly higher in female students (60.9%) than in male students (53.3%) ( χ 2= 59.22 , P <0.05). GEE analysis showed that male students ( OR =0.59), primary school students ( OR =0.45), those who spent less than 6 hours per day sitting indoors ( OR =0.78), and those who used electronic devices for no more than 2 hours per day ( OR = 0.25 ) all had lower risks of screening myopia (all P <0.05). Students in regular high schools ( OR =2.01), those who engaged in activities inside the classroom during breaks ( OR =1.55), those who engaged in activities outside the classroom but within the school building during breaks ( OR = 1.46), those who never or only occasionally maintained proper reading and writing postures ( OR =1.32), those with less than 2 hours of daily outdoor activity ( OR =1.86), those with both parents being myopic ( OR =2.48), those with only the father being myopic ( OR =1.50), and those with only the mother being myopic ( OR =1.63) all had higher risks of screening detected myopia (all P ＜0.05). Interaction effect analysis revealed annual heterogeneity in the effects of daily outdoor activity time ≥2 h and daily electronic device use time >2 h on screening myopia prevalence (all P ＜0.05). Conclusions The screening myopia prevalence among children and adolescents in Tianhe District, Guangzhou, demonstrates a continuous downward trend. The impacts of daily outdoor activity duration and electronic device usage time on screening myopia exhibit annual heterogeneity. Dynamic and targeted myopia prevention and control strategies should be formulated in accordance with regional demographic features and environmental changes.

ObjectiveTo investigate the trends in the disease burden of falls among Chinese children and adolescents from 1990 to 2021, and to inform the development of targeted prevention and control strategies. MethodsData on age-standardized incidence rate, age-standardized mortality rate and age-standardized disability-adjusted life years (DALYs) rate for falls among Chinese children and adolescents under 20 years of age from 1990 to 2021 were systematically extracted from the Global Burden of Disease Study (GBD) 2021 database. The annual percent change (APC) and average annual percent change (AAPC) were calculated to evaluate temporal trends in fall-related disease burden across different age groups and sexes. ResultsFrom 1990 to 2021, the age-standardized incidence rate of falls among Chinese children and adolescents showed a non-linear fluctuation (AAPC=0.08%, P=0.040), while both the age-standardized mortality rate and age-standardized DALYs rate declined (AAPC=-3.66% and -3.09%, both P<0.001). The crude incidence rate decreased in the <5 years old and 5 ‒ <10 years old groups (AAPC=-1.38% and -0.29%, both P<0.001), but increased annually in the 10 ‒ <15 years old and 15 ‒ <20 years old groups (AAPC=0.27% and 0.81%, both P<0.001). The crude mortality rate and crude DALYs rate declined across all four age groups, with the most significant reduction observed in the <5 years old group (AAPC=-5.21%, 95%CI:-5.55%‒ -5.00%; AAPC=-4.98%, 95%CI: -5.20%‒ -4.79%, both P<0.001). For both males and females, the age-standardized incidence rate of falls showed a V-shaped trend (initial decline followed by a subsequent rise). In contrast, the age-standardized mortality rate and age-standardized DALY rate declined in both sexes, with an AAPC of -3.40% and -2.94% for males, and -4.50% and -3.49% for females, respectively (all P<0.001). ConclusionThe overall disease burden of falls among Chinese children and adolescents has been substantially improved; however, the incidence burden remains considerable. Future prevention efforts should be tailored to age- and sex-specific characteristics, with the family as the fundamental care unit in conjunction with high-quality nursing extension services, to establish a closed-loop management model encompassing “early identification, immediate intervention, and continuous follow-up.”

In recent years， with the emergence of large language models like ChatGPT and DeepSeek into the public domain， artificial intelligence （AI） has become one of the most rapidly developing fields of the 21st century. As AI continues to evolve， new models are constantly emerging， particularly through the integration of multimodal data that enables more comprehensive information capture and analysis， demonstrating significant value in supporting clinical anesthesia decision-making. Preoperatively， AI can assist in evaluating patients’ overall health status， aid in selecting appropriate anesthesia methods， and predict potential risks such as difficult airways. Intraoperatively， AI can collaborate with anesthesiologists to monitor physiological parameters and optimize anesthesia management strategies， especially in predicting hypotension and improving automated drug infusion control systems. Postoperatively， AI can predict pulmonary complications， postoperative delirium， and major adverse cardiovascular events， thereby accelerating recovery and improving long-term survival.This article analyzes recent advances in AI technology in medicine worldwide， systematically reviews its application scenarios in clinical anesthesia， and provides detailed accounts of progress in preoperative risk assessment， formulation of personalized anesthesia plans， intraoperative monitoring and decision support， postoperative recovery， and long-term follow-up. It further highlights the need for future research to strengthen multimodal database construction， enhance model generalizability， develop explainable frameworks， and improve ethical governance. By summarizing current achievements and challenges， this review offers valuable reference for anesthesiologists and researchers， underscores the role of AI in driving the intelligent transformation of anesthesiology， and provides guidance for subsequent research directions.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To evaluate the performance of an artificial intelligent (AI)-based automated digital cell morphology analyzer (hereinafter referred as AI morphology analyzer) in detecting peripheral white blood cells (WBCs).Methods:A multi-center study. 1. A total of 3010 venous blood samples were collected from 11 tertiary hospitals nationwide, and 14 types of WBCs were analyzed with the AI morphology analyzers. The pre-classification results were compared with the post-classification results reviewed by senior morphological experts in evaluate the accuracy, sensitivity, specificity, and agreement of the AI morphology analyzers on the WBC pre-classification. 2. 400 blood samples (no less than 50% of the samples with abnormal WBCs after pre-classification and manual review) were selected from 3 010 samples, and the morphologists conducted manual microscopic examinations to differentiate different types of WBCs. The correlation between the post-classification and the manual microscopic examination results was analyzed. 3. Blood samples of patients diagnosed with lymphoma, acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndrome, or myeloproliferative neoplasms were selected from the 3 010 blood samples. The performance of the AI morphology analyzers in these five hematological malignancies was evaluated by comparing the pre-classification and post-classification results. Cohen′s kappa test was used to analyze the consistency of WBC pre-classification and expert audit results, and Passing-Bablock regression analysis was used for comparison test, and accuracy, sensitivity, specificity, and agreement were calculated according to the formula.Results:1. AI morphology analyzers can pre-classify 14 types of WBCs and nucleated red blood cells. Compared with the post-classification results reviewed by senior morphological experts, the pre-classification accuracy of total WBCs reached 97.97%, of which the pre-classification accuracies of normal WBCs and abnormal WBCs were more than 96% and 87%, respectively. 2. The post-classification results reviewed by senior morphological experts correlated well with the manual differential results for all types of WBCs and nucleated red blood cells (neutrophils, lymphocytes, monocytes, eosinophils, basophils, immature granulocytes, blast cells, nucleated erythrocytes and malignant cells r>0.90 respectively, reactive lymphocytes r=0.85). With reference, the positive smear of abnormal cell types defined by The International Consensus Group for Hematology, the AI morphology analyzer has the similar screening ability for abnormal WBC samples as the manual microscopic examination. 3. For the blood samples with malignant hematologic diseases, the AI morphology analyzers showed accuracies higher than 84% on blast cells pre-classification, and the sensitivities were higher than 94%. In acute myeloid leukemia, the sensitivity of abnormal promyelocytes pre-classification exceeded 95%. Conclusion:The AI morphology analyzer showed high pre-classification accuracies and sensitivities on all types of leukocytes in peripheral blood when comparing with the post-classification results reviewed by experts. The post-classification results also showed a good correlation with the manual differential results. The AI morphology analyzer provides an efficient adjunctive white blood cell detection method for screening malignant hematological diseases.

Objective: To investigate the epidemiological characteristics of premature eruption of permanent molars and its aasociation with body mass index (BMI), to provide a reference for childhood oral health promotion. Methods: A total of 861 children aged 9 to 12 years from two primary schools in Bengbu City were selected by cluster sampling method. Parental questionnaire was administered to collect socio demographic information. The eruption of second permanent molars were examined. Data was analyzed by multivariate Logistic regression model and margins command. Results: The detection rate of premature eruption of second permanent molars was 26.5%(228), 27.5% in boys and 24.9% in girls( χ 2=0.73, P =0.39). Early detection rate of second permanent molars (39.0%) was significantly higher in obese group than normal weight group (21.5%)( χ 2=21.85, P <0.01). Logistic regression analysis showed that obesity was positively correlated with the risk of premature eruption of second permanent molars( OR= 3.55 , 95%CI=2.14-5.87, P <0.01). Overweight was not associated with higher risk of premature eruption of second permanent molars( OR=1.64, 95%CI=0.95-2.81, P =0.07). Being female was associated with higher risk of premature eruption of second permanent molars compared to age matched peers( OR=2.19, 95%CI=1.42-3.39, P <0.01). Conclusion Childhood obesity is associated with higher risk for premature eruption of second permanent molars. Girls are more likely to have second permanent molar erupted in advance compared to age matched boys.