ObjectiveTo evaluate the impact of yang-reinforcing and blood-activating therapy on the long-term prognosis for patients with dilated cardiomyopathy （DCM） of yang deficiency and blood stasis syndrome. MethodsA retrospective cohort study was conducted involving 371 DCM patients with yang deficiency and blood stasis syndrome. The yang-reinforcing and blood-activating therapy was defined as the exposure factor. Patients were categorized into exposure group （186 cases） and non-exposure group （185 cases） according to whether they received yang-reinforcing and blood-activating therapy combined with conventional western medicine for 6 months or longer. The follow-up period was set at 48 months， and the Kaplan-Meier survival analysis was used to assess the cumulative incidence of major adverse cardiovascular events （MACE） in both groups. Cox regression analysis was used to explore the impact of yang-reinforcing and blood-activating therapy on the risk of MACE， and subgroup analysis was performed. Changes in traditional Chinese medicine （TCM） syndrome score， left ventricular ejection fraction （LVEF）， left ventricular fractional shortening （LVFS）， left ventricular end-diastolic diameter （LVEDD）， and Minnesota Living with Heart Failure Questionnaire （MLHFQ） score were compared between groups at the time of first combined use of yang-reinforcing and blood-activating therapy （before treatment） and 1 year after receiving the therapy （after treatment）. ResultsMACE occurred in 31 cases （16.67%） in the exposure group and 47 cases （25.41%） in the non-exposure group. The cumulative incidence of MACE in the exposure group was significantly lower than that in the non-exposure group ［HR=0.559， 95%CI（0.361，0.895）， P=0.014］. Cox regression analysis showed that yang-reinforcing and blood-activating therapy was an independent factor for reducing the risk of MACE in DCM patients ［HR=0.623， 95%CI（0.396，0.980）， P=0.041］， and consistent results were observed in different subgroups. Compared with pre-treatment， the exposure group showed decreased TCM syndrome score and MLHFQ score， reduced LVEDD， and increased LVEF and LVFS after treatment （P＜0.05）； in the non-exposure group， TCM syndrome score decreased， LVEF and LVFS increased， and LVEDD reduced after treatment （P＜0.05）. After treatment， the exposure group had higher LVEF and LVFS， smaller LVEDD， and lower TCM syndrome score and MLHFQ score compared with the non-exposure group （P＜0.05）. ConclusionCombining yang-reinforcing and blood-activating therapy with conventional western medicine can reduce the risk of MACE in DCM patients with yang deficiency and blood stasis syndrome， meanwhile improving their clinical symptoms， cardiac function， and quality of life.

Objective To develop a predictive model of acute hematologic toxicity (HT) based on preradiotherapy CT radiomic features combined with clinical and dosimetric characteristics for patients with cervical cancer undergoing definitive radiotherapy. Methods Data from 82 patients with cervical cancer who received definitive radiotherapy were retrospectively analyzed. The patients were divided into training and test sets at an 8:2 ratio, with grade ≥2 HT as the study endpoint. Clinical characteristics and dosimetric parameters of pelvic regions were collected, and 1 046 radiomic features were extracted from the overall pelvic structure using PyRadiomics. Radiomic features were processed using Z-score normalization, Spearman correlation analysis (>0.9), and LASSO regression for feature selection. A radiomics model was constructed using K-nearest neighbor machine learning with fivefold cross-validation. For 56 clinical and dosimetric features, independent predictors were identified through univariate and multivariate analyses to establish a clinical-dose model. A hybrid model was further constructed by combining the two sets of features. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), decision curve analysis, and calibration curves. Results Forty patients (48.8%) developed grade ≥2 HT. Univariate and multivariate analyses showed that V20 of the lumbosacral spine was significantly associated with grade ≥2 HT (P<0.05). The AUC values for the radiomics, clinical-dose, and hybrid models were 0.802, 0.750, and 0.861 in the training set, respectively, and 0.703, 0.633, and 0.781 in the test set, respectively. Conclusion Preradiotherapy CT radiomic features combined with dosimetric characteristics can predict the occurrence of acute hematologic toxicity in patients with cervical cancer, potentially facilitating early clinical intervention.

Objective To investigate the registration rate and trend of pulmonary tuberculosis complicated with diabetes mellitus (PTB-DM) in Wuhan from 2020 to 2024, and to provide scientific evidence for formulating PTB-DM prevention and control policies. Methods PTB-DM case data in Wuhan (2020-2024) were collected through the Infectious Disease Registration and Management Information System. Joinpoint regression model was employed to analyze the trend of registration rates of PTB-DM among the general population and across different regions, genders, and age groups. ARIMA model was used to predict the short-term prevalence of PTB-DM. Results Among 26275 pulmonary tuberculosis cases registered in Wuhan (2020-2024), 2669 cases (10.16%) were PTB-DM. The average annual registration rate of PTB-DM was 3.96/100,000, increasing from 2.74/100,000 in 2020 to 5.40/100,000 in 2024 (APC=19.07%, 95% CI:12.99%-26.92%, P<0.001). The PTB-DM registration rates showed an upward trend across different regions, genders, and age groups in Wuhan, with higher registration rates observed in near urban area, males, and individuals aged 60~64 and 65 years and above (χ²=99.566, P<0.001; χ²=781.891, P<0.001; χ²=2211.930, P<0.001). ARIMA model predicted that the prevalence of PTB-DM in Wuhan would remain stable and fluctuating in the short time. Conclusion PTB-DM registration rate in Wuhan increases from 2020 to 2024. Near urban area, males, and elderly populations are high risk groups. Future efforts should focus on strengthening the prevention and control of PTB-DM among these populations.

Renal tumors are common diseases of urinary system.In recent years,the development of radiomics and artificial intelligence(AI)technology had provided new directions of accurate diagnosis,differential diagnosis,evaluating grade and stage,as well as guiding treatment of renal tumors.The research progresses of radiomics and AI for renal tumors were reviewed in this article.

Objective:To develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.

The treatment of non-small cell lung cancer (NSCLC) faces significant challenges due to tumor heterogeneity and the complexity of the immune microenvironment. The cyclic GMP-AMP synthase (cGAS) -stimulator of interferon gene (STING) signaling pathway plays a dual role in NSCLC, serving both as a crucial hub for anti-tumor immunity and as a potential driver of metastasis. The clinical translation of STING agonists confronts a series of challenges, including delivery barriers, double-edged sword effects, and patient heterogeneity. Consequently, exploring the combined application of STING agonists with radiotherapy/chemotherapy, immune checkpoint inhibitors, and novel immunotherapies, alongside leveraging artificial intelligence-driven multi-omics models for individualized prediction and treatment, holds significant importance. A deeper understanding of the molecular regulatory network of the cGAS-STING signaling pathway and its dynamic functions within the tumor microenvironment is essential for overcoming the current clinical challenges of targeted therapies and advancing the precision development of NSCLC immunotherapy strategies.

Objective:To investigate the characteristics of brain network reorganization in migraine patients and its relationship with the grading of right-to-left shunt (RLS) in patent foramen ovale(PFO) by integrated 3.0T structural magnetic resonance imaging (MRI),resting-state functional MRI(fMRI),and contrast-enhanced transthoracic echocardiography, thereby toexplore the mechanism underlying cognitive impairment in migraine.Methods:A total of 49 migraine patients (migraine group)and 16 demographically matched healthy subjects (healthy control group) who received diagnosis and treatment at China-Japan Union Hospital of Jilin University from September 2020 to September 2023 were selected as the study participants. Structural images (T1-weighted) and resting-state functional images were obtained from brain imaging (MRI and fMRI) data. The amplitude of low-frequency fluctuation (ALFF) algorithm was used to quantify the intensity of spontaneous neural activity in brain regions, while the Fazekas scale and the Age-Related White Matter Changes (ARWMC) scale were employed to assess white matter lesions. Participants were evaluated using the Mini-Mental State Examination (MMSE). Based on the results of contrast-enhanced transthoracic echocardiography (cTTE),the migraine group was further subdivided into A1 group (18 cases, no PFO), A2 group (17 cases, PFO with small-to-moderate RLS) and A3 group (14 case, PFO with large RLS) group, the differences in brain functional activity and cognitive function were compared among these groups.Results:By Fazekas scale scores and ARWMC scale scores, the incidence of hyperintense foci in the deep white matter regions in the migraine group were higher than those in the healthy control group: 67.3%(33/49) vs. 6/16, 61.2%(30/49) vs. 5/16, there were statistical differences ( P<0.05). Compared with the healthy control group, the migraine group exhibited higher spontaneous neural activity intensity in the brainstem,bilateral posterior cingulate cortex,left medial frontal gyrus,and left middle frontal gyrus,while showing reduced brain activity in the right angular gyrus region. The short-term delayed recall scores and total MMSE scores in the migraine group were lower than thosein the healthy control group: (1.61 ± 1.06) scores vs. (2.44 ± 0.81) scores, (25.06 ± 2.31) scores vs. (27.94 ± 1.44) scores, there were statistical differences ( P<0.05). The short-term delayed recall scores mong the A1 group, A2 group and A3 group had statistical difference( P<0.05). Conclusions:Migraine patients exhibit specific brain functional network reorganization and cognitive dysfunction, which are closely related to the degree of RLS.

Objective:To verify the efficacy of VELscope autofluorescence examination technology in the early warning of potential oral malignant diseases.Methods:80 patients with suspected dysplasia were included and underwent oral examination,visually en-hanced lesion scope(VELscope)autofluorescence examination and histopathology examination respectively,the fluorescence imaging results were compared with the histopathological results.Results:Pathological reports showed 64 cases with mild or no dysplasia,9 cases with moderate or severe dysplasia,1 case with moderate dysplasia without malignant transformation and 6 cases with cancer.The results of VELscope showed that there were 73 positive cases and negative 7 cases of fluorescence deletion.The sensitivity and specificity of VELscope were 93.75％and 9.37％respectively,and the sensitivity could reach 100％in the cancerous tissue.Con-clusion:As a non-invasive examination method,VELscope is highly sensitive but lowly specific.

Objective:This study aimed to retrospectively analyze the impact of preoperative infection with the COVID-19 on postoperative pulmonary complications of maxillofacial surgery patients.Methods:Adult patients who underwent elective surgery under general anesthesia were included in this study.The patients were classified into three groups:control group,group infected with COVID-19 4 weeks before surgery,and group infected 4-6 weeks before surgery.The outcome measure was the postoperative pulmonary complications within 30 days.Perioperative data of all patients were collected.Logistic regression analysis was per-formed to assess the effect of infection with COVID-19 on postoperative pulmonary complications.Results:267 patients were in-cluded in this study.The incidence of postoperative pulmonary complications in control group,＜4 weeks group and 4-6 weeks group were 2.22％,11.36％,6.98％respectively.Infection with COVID-19 less than 4 weeks before surgery(OR:5.64,95％CI:1.45-21.97,P=0.006)was identified as a risk factor for postoperative pulmonary complications within 30 days.However,infection with COVID-19 during the period of 4-6 weeks did not increase the occurrence of postoperative pulmonary complications.Conclusion:Infection with COVID-19 within 4 weeks before surgery increased the risk of postoperative pulmonary complications after maxillofacial surgery.

BACKGROUND:The energy metabolism and polarization state of macrophages play a crucial role in the progression of atherosclerosis.Traditional Chinese Medicine(TCM)has shown significant therapeutic potential for prevention and treatment of atherosclerosis by regulating macrophage metabolic pathways.OBJECTIVE:To review the research progress in AMP-activated protein kinase regulation of macrophage energy metabolism and polarization and explore the mechanism of TCM in the prevention and treatment of atherosclerosis.METHODS:A computerized search was conducted on the databases including Web of Science,PubMed,and CNKI,covering relevant literature up to June 2024.The search terms were"AMPK,fatty acid oxidation,macrophage polarization,Traditional Chinese Medicine,atherosclerosis,coronary heart disease"in Chinese and English.A total of 62 articles were finally included for review.RESULTS AND CONCLUSION:The shiftin macrophage energy metabolism from oxidative phosphorylation to glycolysis plays a key role in the progression of atherosclerosis.The activation of AMP-activated protein kinase in macrophages promotes fatty acid oxidation and M2 polarization,exerting anti-inflammatory effects and stabilizing arterial plaques.TCM monomers(such as ginseng,astragalus,and polygonatum)and compounds(such as Huanglian Jiedu Decoction,Yangxin Shumai Granules,and Tiaogan Daozhuo Formula)influence macrophage metabolism and cellular function by regulating the AMP-activated protein kinase pathway and intervening in multiple signaling pathways,such as nuclear factor-κB,peroxisome proliferator-activated receptor γ,and mammalian target of rapamycin,thereby achieving therapeutic effects.Future research should focus on the interactions between AMP-activated protein kinase,metabolism,and polarization pathways,as well as how TCM exerts its therapeutic effects through these pathways,providing new strategies for the treatment of atherosclerosis.