Objective:To explore the effects three of anesthetics(tribromoethanol,isoflurane,and pentobarbital so-dium)on the outcome of mice with post-stroke dysphagia(PSD)induced by photothrombosis(PT)method,and to e-valuate which anesthetic is more suitable for the preparation of this model.Methods:Sixty-six male C57BL/6J mice were divided into Tribromoethanol group,Isoflurane group,Pentobarbital sodium group and Sham group.The post-stroke dysphagia model was established by PT.Before and 5 min after modeling,a laser speckle imager was used to measure the regional cerebral blood flow(rCBF)decrease rate of mice and record the wake-up time of mice.Forty-eight hours after modeling,the mortality rate of PSD mice in three groups was recorded and the rCBF decrease rate was meas-ured again.The neurological function of mice was evaluated using the neurological deficit score,the water intake of mice was recorded using the 4-min drinking test,the infarct volume ratio was measured using the TTC staining method,and the swallowing counts induced by water administration was recorded using the multichannel physiological recorder MP160 and the myoelectric area of the swallowing muscle was calculated.Results:There was no statistical difference in the percentage of decrease in rCBF,infarct volume ratio,neurological deficit score,water intake,swallowing counts,and myoelectric area of swallowing muscle among the three groups of PSD mice 48 h after modeling(P＞0.05).Com-pared with the Tribromoethanol group and the Pentobarbital sodium group,the rCBF of the mice in the Isoflurane group decreased rapidly within 5 min(P＜0.05),and the mortality rate of the mice was lower and the awakening time was shorter.(P＜0.05).Conclusion:The use of different anesthesia will affect the mortality rate,wake-up time and the downward trend of rCBF within 48 h after modeling of PSD mice.Among the three anesthetics,isoflurane is more suit-able as an anesthetic for the PSD mouse model.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

BACKGROUND: Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients. METHODS: We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these variables. RESULTS: During 16,110 person-years of follow-up, there were 238 CV death/MI in the development cohort. The 7 most important predictors including in the final model were NT-proBNP, D-dimer, GDF-15, peripheral artery disease (PAD), Fibrinogen, ST-segment elevated MI (STEMI), left ventricular ejection fraction (LVEF), termed as CB-ACS score. C-index of the score for predication of cardiovascular events was 0.79 (95% CI: 0.76-0.82) in development cohort and 0.77 (95% CI: 0.76-0.78) in the validation cohort (5832 person-years of follow-up), which outperformed GRACE 2.0 and ABC-ACS risk score. The CB-ACS score was also well calibrated in development and validation cohort (Greenwood-Nam-D'Agostino: P = 0.70 and P = 0.07, respectively). CONCLUSIONS CB-ACS risk score provides a useful tool for long-term prediction of CV events in patients with ACS. This model outperforms GRACE 2.0 and ABC-ACS ischemic risk score.

As the brain's resident immune cells, microglia perform crucial functions such as phagocytosis, neuronal network maintenance, and injury restoration by adopting various phenotypes. Dynamic imaging of these phenotypes is essential for accessing brain diseases and therapeutic responses. Although numerous probes are available for imaging pro-inflammatory microglia, no PET tracers have been developed specifically to visualize anti-inflammatory microglia. In this study, we present an ¹⁸F-labeled PET tracer (QTFT) that targets the P2Y₁₂, a receptor highly expressed on anti-inflammatory microglia. [¹⁸F]QTFT exhibited high binding affinity to the P2Y₁₂ (14.43 nmol/L) and superior blood-brain barrier permeability compared to other candidates. Micro-PET imaging in IL-4-induced neuroinflammation models showed higher [¹⁸F]QTFT uptake in lesions compared to the contralateral normal brain tissues. Importantly, this specific uptake could be blocked by QTFT or a P2Y₁₂ antagonist. Furthermore, [¹⁸F]QTFT visualized brain lesions in mouse models of epilepsy, glioma, and aging by targeting the aberrantly expressed P2Y₁₂ in anti-inflammatory microglia. In a pilot clinical study, [¹⁸F]QTFT successfully located epileptic foci, showing enhanced radioactive signals in a patient with epilepsy. Collectively, these studies suggest that [¹⁸F]QTFT could serve as a valuable diagnostic tool for imaging various brain disorders by targeting P2Y₁₂ overexpressed in anti-inflammatory microglia.

As one of the chronic diseases with high incidence in contemporary society, cervical spondylosis has increasing patient groups who gradually present a low age, and it seriously affects social and public health. Although modern medicine has made great progress in the pathological research and clinical treatment of cervical spondylosis, patients still face gastrointestinal side effects of nonsteroidal anti-inflammatory drugs(NSAIDs), neck pain, limited mobility, upper limb numbness, and other symptoms after conservative or surgical treatment. In the theory of traditional Chinese medicine(TCM), cervical spondylosis belongs to the categories of "Bi syndrome" "stiff neck" "stiff Bi", etc. With the change of the times, the change of lifestyle, and the application of western medicine treatment, the etiology and pathogenesis of TCM in cervical spondylosis also show new characteristics. In terms of etiology and pathogenesis, it involves the invasion of wind, cold, and dampness, long-term strain, liver and kidney deficiency, Qi and blood stasis, which are associated with factors such as cervical degeneration, muscle tension and spasm, intervertebral disc herniation, and nerve root compression in modern medicine. In terms of the evolution of pathogenesis, in the early stage, wind, cold, and dampness, were more common in Xuanfu, resulting in unfavorable muscles and bones, poor flow of Qi and blood, and cervical spondylosis and radiculopathy. Medium-term phlegm stasis and internal knots, sluggish muscles and veins, and long-term weathering and fire are more likely to occur in the vertebral artery and sympathetic radiculopathy. In the later stage, the positive Qi is depleted; the true Yin is damaged, and the viscera Qi and blood are deficient, which is most common in cervical myelopathy. The strategy of treating cervical spondylosis with TCM classic formulas applies Gegen Decoction, Wutou Decoction, Qianghuo Shengshi Decoction, Mahuang Jiazhu Decoction to patients with wind, cold, and dampness. Patients with phlegm dampness and blood stasis are treated with Huoxue Xiaoling Dan, Jinlingzi Powder, Siwu Decoction, Banxia Baizhu Tianma Decoction, Shuanghe Decoction, etc. For those patients with liver, spleen, and kidney deficiency, Huangqi Guizhi Wuwu Decoction, Tianma Gouteng Decoction, Guishao Dihuang Pills, Shenling Baizhu Powder, and Lizhong Decoction are used to invigorate the spleen, nourish Qi and blood, and tonify liver and kidney. In clinical practice, the authors advocate a safe and effective treatment plan of classic formulas based on deficiency and excess, the integration of formulas and syndromes, and the combination of modern research results, so as to relieve symptoms, reduce recurrence, and reduce medical burden.
Humans ; Spondylosis/drug therapy* ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/therapeutic use* ; Cervical Vertebrae/pathology*

Objective Analyze the changes in serum levels of fibrinogen monomer(FM),high-density lipoprotein(HDL-C),homocysteine(Hcy),D-dimer(D-D)in patients with lower limb fractures before and after surgery,and analyze their correlation with deep vein thrombosis(DVT).Methods 187 patients with lower limb fractures admitted from July 2020 to June 2023 were divided into DVT group(53 cases)and non DVT group(134 cases)according to the presence or absence of DVT after surgery.Independent sample t-tests were used to compare the levels of serum FM,HDL-C,Hcy,and D-D between the two groups on the day before and after surgery.Spearman correlation analysis was used to investigate the correlation between serum FM,HDL-C,Hcy,D-D and DVT on the day before and after surgery.Receiver operating characteristic(ROC)curves were used to analyze the effects of serum FM,HDL-C,Hcy,and D-D on lower limbs on the day after surgery.The predictive value of postoperative DVT in fracture patients.Results Compared with 1 day before surgery,the serum FM,HDL-C,Hcy,and D-D levels in both groups increased on the day after surgery(P＜0.05),and compared with the non DVT group,the DVT group had higher serum FM,HDL-C,Hcy,and D-D levels on the day after surgery(P＜0.05).According to Spearman correlation analysis,there was no correlation between preoperative serum FM,HDL-C,Hcy,D-D and DVT on day 1(P＞0.05),while postoperative serum FM,HDL-C,Hcy,D-D were positively correlated with DVT on day 1(P＜0.05).ROC curve analysis showed that the AUC of FM,HDL-C,Hcy,D-D,and their combined prediction of postoperative DVT in patients with lower limb fractures on the 1st day after surgery were 0.781,0.756,0.754,0.781,and 0.879,respectively.The sensitivity and specificity corresponding to the optimal critical value were:After 1 day of surgery,the FM was 45.3％and 100.0％,the HDL-C was 100.0％and 49.3％,the Hcy was 49.1％/100.0％,and the D-D was 100.0％and 49.3％,respectively.The combined rates of the four were 83.0％and 86.6％.Conclusion Compared with patients with lower limb fractures who did not experience DVT after surgery,patients with lower limb fractures experienced elevated serum levels of FM,HDL-C,Hcy,and D-D.There was a correlation between preoperative and postoperative serum levels of FM,HDL-C,Hcy,and D-D.The combination of serum levels of FM,HDL-C,Hcy,and D-D at 1 day after surgery has a high predictive value for postoperative DVT in patients with lower limb fractures.

Objective Analyze the changes in serum levels of fibrinogen monomer(FM),high-density lipoprotein(HDL-C),homocysteine(Hcy),D-dimer(D-D)in patients with lower limb fractures before and after surgery,and analyze their correlation with deep vein thrombosis(DVT).Methods 187 patients with lower limb fractures admitted from July 2020 to June 2023 were divided into DVT group(53 cases)and non DVT group(134 cases)according to the presence or absence of DVT after surgery.Independent sample t-tests were used to compare the levels of serum FM,HDL-C,Hcy,and D-D between the two groups on the day before and after surgery.Spearman correlation analysis was used to investigate the correlation between serum FM,HDL-C,Hcy,D-D and DVT on the day before and after surgery.Receiver operating characteristic(ROC)curves were used to analyze the effects of serum FM,HDL-C,Hcy,and D-D on lower limbs on the day after surgery.The predictive value of postoperative DVT in fracture patients.Results Compared with 1 day before surgery,the serum FM,HDL-C,Hcy,and D-D levels in both groups increased on the day after surgery(P＜0.05),and compared with the non DVT group,the DVT group had higher serum FM,HDL-C,Hcy,and D-D levels on the day after surgery(P＜0.05).According to Spearman correlation analysis,there was no correlation between preoperative serum FM,HDL-C,Hcy,D-D and DVT on day 1(P＞0.05),while postoperative serum FM,HDL-C,Hcy,D-D were positively correlated with DVT on day 1(P＜0.05).ROC curve analysis showed that the AUC of FM,HDL-C,Hcy,D-D,and their combined prediction of postoperative DVT in patients with lower limb fractures on the 1st day after surgery were 0.781,0.756,0.754,0.781,and 0.879,respectively.The sensitivity and specificity corresponding to the optimal critical value were:After 1 day of surgery,the FM was 45.3％and 100.0％,the HDL-C was 100.0％and 49.3％,the Hcy was 49.1％/100.0％,and the D-D was 100.0％and 49.3％,respectively.The combined rates of the four were 83.0％and 86.6％.Conclusion Compared with patients with lower limb fractures who did not experience DVT after surgery,patients with lower limb fractures experienced elevated serum levels of FM,HDL-C,Hcy,and D-D.There was a correlation between preoperative and postoperative serum levels of FM,HDL-C,Hcy,and D-D.The combination of serum levels of FM,HDL-C,Hcy,and D-D at 1 day after surgery has a high predictive value for postoperative DVT in patients with lower limb fractures.

Objective:To explore the effects three of anesthetics(tribromoethanol,isoflurane,and pentobarbital so-dium)on the outcome of mice with post-stroke dysphagia(PSD)induced by photothrombosis(PT)method,and to e-valuate which anesthetic is more suitable for the preparation of this model.Methods:Sixty-six male C57BL/6J mice were divided into Tribromoethanol group,Isoflurane group,Pentobarbital sodium group and Sham group.The post-stroke dysphagia model was established by PT.Before and 5 min after modeling,a laser speckle imager was used to measure the regional cerebral blood flow(rCBF)decrease rate of mice and record the wake-up time of mice.Forty-eight hours after modeling,the mortality rate of PSD mice in three groups was recorded and the rCBF decrease rate was meas-ured again.The neurological function of mice was evaluated using the neurological deficit score,the water intake of mice was recorded using the 4-min drinking test,the infarct volume ratio was measured using the TTC staining method,and the swallowing counts induced by water administration was recorded using the multichannel physiological recorder MP160 and the myoelectric area of the swallowing muscle was calculated.Results:There was no statistical difference in the percentage of decrease in rCBF,infarct volume ratio,neurological deficit score,water intake,swallowing counts,and myoelectric area of swallowing muscle among the three groups of PSD mice 48 h after modeling(P＞0.05).Com-pared with the Tribromoethanol group and the Pentobarbital sodium group,the rCBF of the mice in the Isoflurane group decreased rapidly within 5 min(P＜0.05),and the mortality rate of the mice was lower and the awakening time was shorter.(P＜0.05).Conclusion:The use of different anesthesia will affect the mortality rate,wake-up time and the downward trend of rCBF within 48 h after modeling of PSD mice.Among the three anesthetics,isoflurane is more suit-able as an anesthetic for the PSD mouse model.

Objective:To analyze the clinical characteristics of frailty in elderly patients with chronic obstructive pulmonary disease (COPD).Methods:COPD patients aged ≥65 years registered in the RealDTC study from June 2023 to March 2024 were included. Demographic data, history of exacerbations in the past year, exposure to risk factors (smoking, biomass fuel exposure, occupational exposure), modified Medical Research Council (mMRC) dyspnea score, COPD Assessment Test (CAT) score, forced expiratory volume in the first second predicted of percentage (FEV 1%pred), forced expiratory volume in one second (FEV 1) to forced vital capacity (FVC), and comorbidities (bronchial asthma, bronchiectasis, pulmonary tuberculosis, cardiovascular disease, diabetes mellitus) were collected. According to Fried′s frailty phenotype, patients meeting any 3 of the 5 criteria were defined as frail and divided into a frailty group and a non-frailty group. Multivariate regression analysis was used to screen the related factors of frailty in elderly COPD patients, and the receiver operating characteristic (ROC) curve was used to calculate the area under the curve (AUC) of related factors for frailty assessment. Results:A total of 496 elderly COPD patients were included, of which 144(29.0%) had comorbid frailty. The frailty group had lower mass body index (BMI), FEV 1%pred, and FEV 1/FVC, higher mMRC and CAT scores, more exacerbations and hospitalizations in the past year (all P<0.001), and higher proportions of patients with junior high school education or below, Global Initiative for Chronic Obstructive Lung Disease (GOLD) group E, and GOLD grades 3 and 4 (all P<0.05). Multivariate regression analysis showed that low education level ( OR=2.117, 95% CI: 1.119-4.003), low BMI ( OR=0.927, 95% CI: 0.867-0.991), GOLD grade 4 ( OR=4.251, 95% CI: 1.477-12.235), high CAT score ( OR=1.174, 95% CI: 1.127-1.224), and high mMRC score ( OR=4.578, 95% CI: 3.364-6.231) were independent risk factors for frailty in elderly COPD patients (all P<0.05). The ROC curve showed that CAT score (AUC=0.78) and mMRC score (AUC=0.81) had the highest AUC for assessing frailty in elderly COPD patients. Conclusions:Elderly COPD patients with frailty have lower BMI, worse lung function, and more severe symptom burden. The results provide clinical reference for the management of frail elderly COPD patients.