Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Due to the difficulty of overcoming the abnormal epidermal barriers and addressing S. aureus infections without disrupting indigenous skin microbiota, effective treatment of bacterial infection atopic dermatitis (AD) remains a significant clinical challenge. Skin microbiota-derived extracellular vesicles (EVs) shows protentional for skin disease treatment, but the lack of antimicrobial activity and limited skin penetration hamper their application in bacterial infection AD treatment. Here, we developed novel nanoantibiotics by loading Lev into S. epidermidis-derived EVs (Lev@SE-EVs), with supreme antimicrobial activity, regulating epidermal immune responses and enhanced epidermal barrier functionality. The nanoantibiotics were further integrated into hyaluronic acid-based microneedle (MN) for efficient transdermal delivery of therapeutic agents and effectively treating bacterial infection in AD. Upon insertion into the skin, the rapidly released Lev@SE-EVs from MN are uptake by S. aureus in a selective manner, fibroblasts, and surrounding immune cells to exert therapeutic effects in the infected dermal layer, resulting in mitigated skin inflammation, reduced S. aureus burden and increased dermis repair. Notably, Lev@SE-EVs induce IL-17A⁺ CD8⁺ T-cell accumulation in the skin in an unrelated inflammation manner, which may represent heterologous protection. This EVs-integrated MN assisted Lev@SE-EVs to alleviate skin inflammation, repair skin, and provide an effective and safe therapeutic approach for bacterial infection AD treatment.

Objective:To investigate the effectiveness and feasibility of a 3D U-Net in conjunction with a three-phase CT image segmentation model in the automatic segmentation of GTVnx and GTVnd in nasopharyngeal carcinoma.Methods:A total of 645 sets of computed tomography (CT) images were retrospectively collected from 215 nasopharyngeal carcinoma cases, including three phases: plain scan (CT), contrast-enhanced CT (CTC), and delayed CT (CTD). The dataset was grouped into a training set consisting of 172 cases and a test set comprising 43 cases using the random number table method. Meanwhile, six experimental groups, A1, A2, A3, A4, B1, and B2, were established. Among them, the former four groups used only CT, only CTC, only CTD, and all three phases, respectively. The B1 and B2 groups used phase fine-tuning CTC models. The Dice similarity coefficient (DSC) and 95% Hausdorff distance (HD95) served as quantitative evaluation indicators.Results:Compared to only monophasic CT (group A1/A2/A3), triphasic CT (group A4) yielded better result in the automatic segmentation of GTVnd (DSC: 0.67 vs. 0.61, 0.64, 0.64; t = 7.48, 3.27, 4.84, P < 0.01; HD95: 36.45 vs. 79.23, 59.55, 65.17; t = 5.24, 2.99, 3.89, P < 0.01), with statistically significant differences ( P < 0.01). However, triphasic CT (group A4) showed no significant enhancement in the automatic segmentation of GTVnx compared to monophasic CT (group A1/A2/A3) (DSC: 0.73 vs. 0.74, 0.74, 0.73; HD95: 14.17 mm vs. 8.06, 8.11, 8.10 mm), with no statistically significant difference ( P > 0.05). For the automatic segmentation of GTVnd, group B1/B2 showed higher automatic segmentation accuracy compared to group A1 (DSC: 0.63, 0.63 vs. 0.61, t = 4.10, 3.03, P<0.01; HD95: 58.11, 50.31 mm vs. 79.23 mm, t = 2.75, 3.10, P < 0.01). Conclusions:Triphasic CT scanning can improve the automatic segmentation of the GTVnd in nasopharyngeal carcinoma. Additionally, phase fine-tuning models can enhance the automatic segmentation accuracy of the GTVnd on plain CT images.

ObjectiveTo construct a mouse model of inflammation-associated colorectal cancer （CAC） by using azoxymethane （AOM）/dextran sulfate sodium （DSS） and investigate the effect of Huangqintang on the gut microbiota structure of mice during the occurrence and development of CAC by 16S rRNA gene high-throughput sequencing. MethodA total of 225 C57BL/6J mice were randomized into 5 groups （n=45）： Normal， model， positive drug （mesalazine）， and high （18 g·kg^-1） and low （9 g·kg^-1）-dose Huangqintang. Except those in the normal group， each mouse was injected with 10 mg·kg^-1 AOM on day 1 and day 5 within 1 week and then given 1.5% DSS solution for 7 days， which was then changed to sterile water for 14 days. This process referred to as one cycle， and mice were treated for a total of 3 cycles. On the first day of DSS treatment， mice were administrated with corresponding drugs by gavage， and the normal group and the model group were administrated with pure water by gavage， once a day until the end of the third cycle. The progression of CAC was divided into inflammation， proliferation， and tumorigenesis stages. At the end of each cycle， the body weight and colon length were measured for mice in each group， and the number of colon tumors in mice was recorded. Meanwhile， the disease activity index （DAI） was determined. The serum levels of interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and carbohydrate antigen-199 （CA199）， a tumor marker in the gastrointestinal tract of mice， were measured by ELISA. Hematoxylin-eosin staining was employed to observe colon lesions. At the same time， 3-5 pellets of fresh feces of mice in the normal group， model group， and high-dose Huangqintang group were collected， from which the fecal DNA of mice was extracted for 16S rRNA gene high-throughput sequencing. ResultCompared with the normal group， the model group showed decreased body weight （P<0.01）， increased DAI， and shortened colon length （P<0.05） at the three stages. Compared with the normal group， the model group showed elevated levels of IL-1β， IL-6， and TNF-α （P<0.05） at the proliferation stage and elevated levels of CA199 at the inflammation， proliferation， and tumorigenesis （P<0.01） stages. Compared with the normal group， the model group presented obvious infiltration of inflammatory cells at the inflammation stage， thickening of the muscle layer and abnormal proliferation of mucosal layer cells at the proliferation and tumorigenesis stages， and final formation of advanced intraepithelial tumor lesions. Compared with the model group， the Huangqintang groups showed no significant improvement in the body weight， decreased DAI score， and increased colon length at the three stages， and the increase of colon length in the tumorigenesis stage was significant （P<0.01）. At the tumorigenesis stage， the administration of Huangqintang inhibited tumor formation and growth， reduced the number of tumors （P<0.01）， lowered the levels of IL-6 （P<0.05， P<0.01）， TNF-α （P<0.05， P<0.01）， and IL-1β at the three stages， and decreased CA199 at the inflammation stage as well as at the proliferation and tumorigenesis stages （P<0.01， P<0.05）. Compared with the model group， the administration of Huangqintang reduced inflammation and abnormal cell proliferation， delaying the occurrence of tumors. Compared with the normal group， the model group showcased decreased alpha and beta diversity and altered structure of gut microbiota at the inflammation， proliferation， and tumorigenesis stages. The administration of Huangqintang adjusted the abundance and diversity of gut microbiota to the normal levels. At the inflammation stage， Huangqintang positively regulated two differential phyla （Firmicutes and Bacteroidetes） and three differential genera （Muribaculaceae， Rikenellaceae_RC9_gut_group， and Flavonifractor） in mice. At the proliferation stage， Huangqintang positively regulated two differential phyla （Bacteroidetes and Patescibacteria） and five differential genera （Muribaculaceae， Rikenellaceae_RC9_gut_group， Candidatus_Saccharimonas， norank_f__UCG-010， and Allobaculum）. At the tumorigenesis stage， Huangqintang positively regulated two differential phyla （Proteobacteria and Patescibacteria） and eight differential genera （Muribaculaceae， Candidatus_Saccharimonas， norank_f_UCG-010， Lachnospiraceae_UCG-006， Allobaculum， Bacteroides， Lachnospiraceae_NK4A136_group， and Flavonifractor） in mice. ConclusionHuangqintang can intervene in the AOM/DSS-induced transformation of inflammation to CAC in mice by correcting inflammation and short-chain fatty acid-related microbiota disorders.

Objective:To investigate the risk factors for lower extremity deep vein thrombosis (DVT) in patients with bone trauma and their diagnostic efficacy.Methods:A retrospective cohort study was conducted to analyze the clinical data of 108 patients with bone trauma who were admitted to Affiliated Changzhou Second People′s Hospital of Nanjing Medical University from October 2023 to February 2024, including 61 males and 47 females, aged 17-96 years [(55.2±19.5)years]. Based on the results of color Doppler ultrasonography of lower extremities within 96 hours on admission, the patients were divided into DVT group ( n=58) and non-DVT group ( n=50). In DVT group, 42 patients developed lower extremity DVT within 7 days after trauma and the other 16 patients developed lower extremity DVT after 7 days. Basic clinical data including gender, age, body mass index (BMI), underlying diseases, cause of injury, site of fracture, surgery and admission Caprini score, and admission laboratory test indicators including routine coagulation indicators [prothrombin time (PT), international normalized ratio (INR), thrombin time (TT), activated partial thromboplastin time (APTT), fibrinogen (FBG) and D-dimer (D-D)] and four thrombosis indicators [plasma thrombin-antithrombin III complex (TAT), thrombomodulin (TM), tissue-type plasminogen activator-inhibitor 1 complex (tPAIC) and plasmin-alpha2-plasmin inhibitor complex (PIC)] were collected in the two groups. Univariate analysis and multivariate binary Logistic regression analysis were conducted to investigate the correlation between these indicators and incidence of lower extremity DVT in patients with bone trauma and determine the independent risk factors. Receiver operating characteristic (ROC) curve and area under the curve (AUC) of the relevant risk factors were analyzed to evaluate and compare the diagnostic efficacy of the factors for lower extremity DVT in patients with bone trauma and further assess the diagnostic efficacy of the factors for lower extremity DVT within 7 days after bone trauma. Results:Univariate analysis revealed significant correlations of gender, age, Caprini score, D-D, TAT, TM and PIC with incidence of lower extremity DVT in patients with bone trauma ( P<0.01). The results of multivariate binary Logistic regression analysis demonstrated that Caprini score ( OR=1.36, 95% CI 1.12, 1.65, P<0.01), TAT ( OR=1.05, 95% CI 1.00, 1.10, P<0.05), and TM ( OR=1.34, 95% CI 1.02, 1.77, P<0.05) were significantly correlated to incidence of lower extremity DVT in patients with bone trauma. ROC curve analysis indicated that TAT (AUC=0.76, 95% CI 0.67, 0.86) had the highest diagnostic efficiency, followed by TM (AUC=0.72, 95% CI 0.62, 0.81) and Caprini score (AUC=0.72, 95% CI 0.62, 0.82). The combined analysis of all the factors effectively enhanced the diagnostic efficiency for DVT (AUC=0.84, 95% CI 0.77, 0.92). Additionally, TAT (AUC=0.81, 95% CI 0.71, 0.91) demonstrated better diagnostic efficacy for lower extremity DVT within 7 days after bone trauma compared with the Caprini score (AUC=0.72, 95% CI 0.61, 0.83) and TM (AUC=0.71, 95% CI 0.60, 0.83). Similarly, the combined analysis of all the factors also effectively enhanced the overall diagnostic efficacy for lower extremity DVT within 7 days after bone trauma (AUC=0.85, 95% CI 0.77, 0.93). Conclusions:Caprini score, TAT and TM are identified as independent risk factors for lower extremity DVT in patients with bone trauma, and all the three factors demonstrate good diagnostic efficacy. Their combination is found to have statistically significant higher diagnostic efficiency than each individual factor. Furthermore, TAT is proved to be the best in diagnosing lower extremity DVT within 7 days after bone trauma, while the combined analysis of all the risk factors can further improve the diagnostic efficacy.

Objective:To explore the characteristics of gray matter volume (GMV) and structural covariant network (SCN) in patients with cerebral small vessel disease (CSVD) related cognitive impairment.Methods:This was a cross-sectional study. Ninety-eight patients with CSVD who attended Wuxi People′s Hospital of Nanjing Medical University between October 2021 and December 2022 were prospectively included. The patients were evaluated using the cognitive status assessment scale and were categorized into 57 cases in the CSVD with cognitive impairment group and 41 cases in the CSVD without cognitive impairment group according to the presence or absence of cognitive impairment. 3D-T 1WI structural image data were collected, and GMV differences between the two groups were compared by SPM 12 toolbox and CAT12 toolkit. At the same time, Pearson correlation analysis was also performed to analyze the GMV of differences between the 2 groups and cognitive status assessment scale scores. The BCT software package based on MATLAB platform was used to construct the GMV-related structural covariant network (SCN), and the graph theory method was utilized for SCN analysis to calculate the area under the curve (AUC) of the global and local parameters within the set sparsity range, and the permutation test was used to compare the differences in the AUC of the 2 groups. Results:In the CSVD with cognitive impairment group, GMV in bilateral hippocampus, parahippocampal gyrus, fusiform gyrus, and left amygdala was significantly lower than that in the CSVD without cognitive impairment group (family wise error corrected P<0.05), and the GMV in these regions had correlation with cognitive status assessment scale ( P<0.05). At the global network level of the SCN, the area under the curve (AUC) of the characteristic path length was significantly higher in the CSVD with cognitive impairment group than in the CSVD without cognitive impairment group ( P=0.023), while the AUC of global efficiency was significantly lower in CSVD with cognitive impairment group than in the CSVD without cognitive impairment group ( P=0.005). At the local level, the nodal degree and nodal efficiency of the left putamen were significantly decreased in the CSVD with cognitive impairment group compared to the CSVD without cognitive impairment group (false discovery rate corrected P<0.05). Conclusions:GMV reduce in patients of CSVD with cognitive impairment in the bilateral hippocampus, parahippocampal gyrus, fusiform gyrus, and left amygdala. In the structural covariance network, characteristic path length increase while global efficiency reduce, and node degree and nodal efficiency of the left putamen reduce.

Monoclonal antibody drugs that inhibit programmed death 1 (PD-1) or programmed death ligand 1 (PD-L1) have been widely used in esophageal cancer (EC) and yielded significant therapeutic responses. However, only a few patients obtain lasting clinical benefits due to primary or acquired drug resistance, and new treatment schemes are urgently needed. The tumor immune microenvironment is the main factor that affects patients' response to immunosuppressive agents. This article will discuss the role of immunosuppressive cells and non-cellular components in the immune process to provide ideas for the next research direction of EC.

Objective To explore the distribution of traditional Chinese medicine basic syndromes in sepsis,and to provide evidence for the establishment of diagnostic criteria of sepsis syndromes.Methods Literatures related to sepsis syndrome included in China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP database(VIP)and Chinese Biomedical Literature Database(CBM)databases were searched from the establishment of the database to May 30,2020.Screen the literature and extract data,establish a database for statistical description and analysis of syndrome elements,basic syndromes and symptoms.Analyze the association rule of syndrome elements based on the Apriori algorithm.Based on the two-step hidden tree analysis LTM-EAST algorithm,a symptom latent structure model was constructed,and a comprehensive cluster analysis and model interpretation were performed.Results A total of 383 articles related to sepsis syndromes were included,involving 31 basic syndromes,146 symptoms and 29 syndromes elements.The basic syndromes with frequencies≥5%and cumulative composition ratios≥75%were heat and toxin syndrome,blood stasis syndrome,Yin deficiency syndrome,heat and closing syndrome,Qi deficiency syndrome,phlegm and heat syndrome,Yang prostration syndrome,Fu-organ excess syndrome,and Yang deficiency syndrome.Perform the association rule analysis on syndrome elements with a frequency＞5,obtaining 8 strong association rules,and inferring 7 basic syndromes,including Fu-organ excess syndrome,heat and toxin syndrome,heat and closing syndrome,phlegm clouding the heart syndrome,heat disturbing the heart spirit syndrome,phlegm and heat syndrome,phlegm block syndrome.The symptoms with frequency＞5 were analyzed by hidden structure,41 hidden variables and 82 hidden categories were obtained,and 11 comprehensive clustering models were obtained through comprehensive clustering.Eleven basic syndromes were inferred,including heat and toxin syndrome,blood stasis syndrome,Yin deficiency syndrome,heat and closing syndrome,Qi deficiency syndrome,phlegm and heat syndrome,Yang prostration syndrome,Fu-organ excess syndrome,Yang deficiency syndrome,Yingfen syndrome,and phlegm-dampness syndrome.Combined with all of methods above,9 basic syndromes,heat and toxin syndrome,blood stasis syndrome,Yin deficiency syndrome,heat and closing syndrome,Qi deficiency syndrome,phlegm and heat syndrome,Yang prostration syndrome,Fu-organ excess syndrome,and Yang deficiency syndrome were finally confirmed.Conclusion There are 9 common basic syndromes of sepsis,and the sufficient syndromes are mainly heat and toxin syndrome,blood stasis syndrome,heat and closing syndrome,phlegm and heat syndrome and Fu-organ excess syndrome,while the deficiency syndromes are mainly Yin deficiency syndrome,Qi deficiency syndrome,Yang prostration syndrome,and Yang deficiency syndrome,with each basic syndrome having certain symptom characteristics.

Humans ; Critical Illness ; Critical Care ; Intensive Care Units ; Surveys and Questionnaires

BACKGROUND: Antenatal corticosteroids (ACS) can significantly improve the outcomes of preterm infants. This study aimed to describe the ACS use rates among preterm infants admitted to Chinese neonatal intensive care units (NICU) and to explore perinatal factors associated with ACS use, using the largest contemporary cohort of very preterm infants in China. METHODS: This cross-sectional study enrolled all infants born at 24 +0 to 31 +6 weeks and admitted to 57 NICUs of the Chinese Neonatal Network from January 1st, 2019 to December 30th, 2019. The ACS administration was defined as at least one dose of dexamethasone and betamethasone given before delivery. Multiple logistic regressions were applied to determine the association between perinatal factors and ACS usage. RESULTS: A total of 7828 infants were enrolled, among which 6103 (78.0%) infants received ACS. ACS use rates increased with increasing gestational age (GA), from 177/259 (68.3%) at 24 to 25 weeks' gestation to 3120/3960 (78.8%) at 30 to 31 weeks' gestation. Among infants exposed to ACS, 2999 of 6103 (49.1%) infants received a single complete course, and 33.4% (2039/6103) infants received a partial course. ACS use rates varied from 30.2% to 100% among different hospitals. Multivariate regression showed that increasing GA, born in hospital (inborn), increasing maternal age, maternal hypertension and premature rupture of membranes were associated with higher likelihood to receive ACS. CONCLUSIONS The use rate of ACS remained low for infants at 24 to 31 weeks' gestation admitted to Chinese NICUs, with fewer infants receiving a complete course. The use rates varied significantly among different hospitals. Efforts are urgently needed to propose improvement measures and thus improve the usage of ACS.
Humans ; Infant, Newborn ; Infant ; Pregnancy ; Female ; Gestational Age ; Infant, Premature ; Intensive Care Units, Neonatal ; Cross-Sectional Studies ; Adrenal Cortex Hormones/therapeutic use*