Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective To prepare a stable rat model of chronic liver failure to provide a tool for basic research.Methods Sixty-six SPF SD rats were divided into a normal group(n=18)and a modeling group(n=48).Rats in the modeling group received an intraperitoneal injection of 50％CCl4 olive oil solution(1.5 mL/kg,twice a week).Multidimensional assessment was performed at 8,16,and 24 weeks,respectively,including ultrasonic examination of liver morphology,hardness,portal vein diameter,and ascites,and collection of serum,plasma,and liver tissue to detect liver function,coagulation function,and blood ammonia levels.Liver tissue injury and fibrosis were observed by hematoxylin-eosin(HE)and Masson staining.Cognitive function was assessed using the water maze test.Survival were recorded simultaneously.Results Rats in the model group showed decreased activity and appetite,yellow urine,and increased abdominal circumference compared with the normal group.Ultrasound showed enhanced liver parenchyma echo in the model group that thickened with time,secondary ascites formation,portal vein dilation,and portal hypertension.Water maze and blood ammonia tests confirmed cognitive decline(memory and orientation loss)and hepatic encephalopathy in the model group.Gross observation showed that the liver in the model group was atrophied and appeared rough and uneven.HE staining showed hepatocyte swelling,steatosis,and necrosis,and Masson staining confirmed fibrosis progression with pseudolobule formation.The liver function indexes AST,ALT,TBIL and blood ammonia continued to increase,and coagulation dysfunction(prolonged PT and increased INR)gradually increased with the modeling process.Conclusions Intraperitoneal injection of 50％CCl4 olive oil solution(1.5 mL/kg,every week)for 24 weeks can stably simulate persistent chronic liver injury in rats and lead to the typical pathological changes and complications of chronic liver failure,based on the decompensation stage of cirrhosis.This model replicates the pathological evolution of human hepatitis from liver fibrosis → liver cirrhosis compensation → decompensation → chronic liver failure,providing a reliable modeling reference for the study of the mechanism of chronic liver failure.

Objectives:To systematically evaluate the effectiveness and safety of sacubitril valsartan in the treatment of heart failure with mildly reduced ejection fraction(HFmrEF).Methods:Computer searches were conducted on PubMed,Embase,China National Knowledge Infrastructure(CNKI),VIP,and Wanfang Data,all from the time of database establishment until December 31,2023.Randomized controlled trials(RCT)of sacubitril valsartan(experimental group)compared to conventional drugs such as renin angiotensin converting enzyme inhibitors/angiotensin Ⅱ receptor antagonists(control group)for the treatment of HFmrEF were collected.After screening literature and extracting data,meta-analysis was conducted using Stata 15.0 and Rev Man 5.3 software,and bias and sensitivity analyses were published in parallel.Results:A total of 13 RCTs were included,with a total of 1 150 patients.The meta-analysis results showed that all-cause mortality risk of patients(RR=0.63,95%CI:0.45-0.86,P=0.004),and the risk of elevated blood creatinine(RR=0.65,95%CI:0.50-0.84,P=0.001)in the experimental group were significantly lower than those in the control group.The level of six-minute walk test post therapy was significantly higher in the experimental group patients than that in the control group(weighted mean differences[WMD]=66.33 m,95%CI:11.77-120.90,P=0.02).There was no statistically significant difference in the comparison on the readmission rate of heart failure(RR=0.87,95%CI:0.61-1.24,P=0.43),NT-proBNP levels(WMD=319.67 pg/ml,95%CI:-823.36 to 1 462.70,P=0.58),soluble suppression of tumorigenicity 2(sST2)levels(WMD=4.48 μg/L,95%CI:-0.58 to 9.54,P=0.08),incidence of hypotension(RR=1.03,95%CI:0.61-1.76,P=0.90),and incidence of hyperkalemia(RR=0.95,95%CI:0.67-1.33,P=0.75)between the two groups of patients after treatment.The results of publication bias and sensitivity analysis both indicated a high possibility of publication bias,and some indicators had unstable results.Conclusions:Sacubitril valsartan may effectively reduce all-cause mortality,and the risk of elevated blood creatinine in HFmrEF patients,improving their long-term prognosis.However,the incidence of hypotension and hyperkalemia remains unclear.

Objectives:To systematically evaluate the effectiveness and safety of sacubitril valsartan in the treatment of heart failure with mildly reduced ejection fraction(HFmrEF).Methods:Computer searches were conducted on PubMed,Embase,China National Knowledge Infrastructure(CNKI),VIP,and Wanfang Data,all from the time of database establishment until December 31,2023.Randomized controlled trials(RCT)of sacubitril valsartan(experimental group)compared to conventional drugs such as renin angiotensin converting enzyme inhibitors/angiotensin Ⅱ receptor antagonists(control group)for the treatment of HFmrEF were collected.After screening literature and extracting data,meta-analysis was conducted using Stata 15.0 and Rev Man 5.3 software,and bias and sensitivity analyses were published in parallel.Results:A total of 13 RCTs were included,with a total of 1 150 patients.The meta-analysis results showed that all-cause mortality risk of patients(RR=0.63,95%CI:0.45-0.86,P=0.004),and the risk of elevated blood creatinine(RR=0.65,95%CI:0.50-0.84,P=0.001)in the experimental group were significantly lower than those in the control group.The level of six-minute walk test post therapy was significantly higher in the experimental group patients than that in the control group(weighted mean differences[WMD]=66.33 m,95%CI:11.77-120.90,P=0.02).There was no statistically significant difference in the comparison on the readmission rate of heart failure(RR=0.87,95%CI:0.61-1.24,P=0.43),NT-proBNP levels(WMD=319.67 pg/ml,95%CI:-823.36 to 1 462.70,P=0.58),soluble suppression of tumorigenicity 2(sST2)levels(WMD=4.48 μg/L,95%CI:-0.58 to 9.54,P=0.08),incidence of hypotension(RR=1.03,95%CI:0.61-1.76,P=0.90),and incidence of hyperkalemia(RR=0.95,95%CI:0.67-1.33,P=0.75)between the two groups of patients after treatment.The results of publication bias and sensitivity analysis both indicated a high possibility of publication bias,and some indicators had unstable results.Conclusions:Sacubitril valsartan may effectively reduce all-cause mortality,and the risk of elevated blood creatinine in HFmrEF patients,improving their long-term prognosis.However,the incidence of hypotension and hyperkalemia remains unclear.

Objective To develop and validate a risk prediction model for social dysfunction in middle-aged and elderly patients with ischemic stroke.Methods A non-matched case-control study was conducted among ischemic stroke patients admitted to the neurology department of a tertiary hospital in Tangshan between August 2022 and March 2023.Patients who developed social dysfunction within 3 months after discharge were assigned to a case group,while those without it were assigned to a control group.Multivariate logistic regression was used to identify significant predictors and construct a nomogram-based prediction model.The model's discrimination and calibration were assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Internal validation was performed via bootstrap resampling,and clinical utility was evaluated using decision curve analysis.Results Logistic regression identified the following as significant risk factors for social dysfunction(P＜0.05):male gender,age≥60 years,primary education or below,rural residence,income＜3 000,cognitive impairment,low disability acceptance,poor self-management ability,suboptimal utilization of chronic disease resources,low future-oriented coping,and high cumulative ecological risk.The nomogram achieved an AUC of 0.874,with a sensitivity of 79.4％and specificity of 80.7％.The Hosmer-Lemeshow test indicated good calibration(x2=3.631,P=0.88).Conclusion The developed nomogram provides an effective tool for predicting the risk of social dysfunction in middle-aged and elderly ischemic stroke patients,facilitating early identification of high-risk individuals.

Objective To develop and validate a risk prediction model for social dysfunction in middle-aged and elderly patients with ischemic stroke.Methods A non-matched case-control study was conducted among ischemic stroke patients admitted to the neurology department of a tertiary hospital in Tangshan between August 2022 and March 2023.Patients who developed social dysfunction within 3 months after discharge were assigned to a case group,while those without it were assigned to a control group.Multivariate logistic regression was used to identify significant predictors and construct a nomogram-based prediction model.The model's discrimination and calibration were assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Internal validation was performed via bootstrap resampling,and clinical utility was evaluated using decision curve analysis.Results Logistic regression identified the following as significant risk factors for social dysfunction(P＜0.05):male gender,age≥60 years,primary education or below,rural residence,income＜3 000,cognitive impairment,low disability acceptance,poor self-management ability,suboptimal utilization of chronic disease resources,low future-oriented coping,and high cumulative ecological risk.The nomogram achieved an AUC of 0.874,with a sensitivity of 79.4％and specificity of 80.7％.The Hosmer-Lemeshow test indicated good calibration(x2=3.631,P=0.88).Conclusion The developed nomogram provides an effective tool for predicting the risk of social dysfunction in middle-aged and elderly ischemic stroke patients,facilitating early identification of high-risk individuals.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective To prepare a stable rat model of chronic liver failure to provide a tool for basic research.Methods Sixty-six SPF SD rats were divided into a normal group(n=18)and a modeling group(n=48).Rats in the modeling group received an intraperitoneal injection of 50％CCl4 olive oil solution(1.5 mL/kg,twice a week).Multidimensional assessment was performed at 8,16,and 24 weeks,respectively,including ultrasonic examination of liver morphology,hardness,portal vein diameter,and ascites,and collection of serum,plasma,and liver tissue to detect liver function,coagulation function,and blood ammonia levels.Liver tissue injury and fibrosis were observed by hematoxylin-eosin(HE)and Masson staining.Cognitive function was assessed using the water maze test.Survival were recorded simultaneously.Results Rats in the model group showed decreased activity and appetite,yellow urine,and increased abdominal circumference compared with the normal group.Ultrasound showed enhanced liver parenchyma echo in the model group that thickened with time,secondary ascites formation,portal vein dilation,and portal hypertension.Water maze and blood ammonia tests confirmed cognitive decline(memory and orientation loss)and hepatic encephalopathy in the model group.Gross observation showed that the liver in the model group was atrophied and appeared rough and uneven.HE staining showed hepatocyte swelling,steatosis,and necrosis,and Masson staining confirmed fibrosis progression with pseudolobule formation.The liver function indexes AST,ALT,TBIL and blood ammonia continued to increase,and coagulation dysfunction(prolonged PT and increased INR)gradually increased with the modeling process.Conclusions Intraperitoneal injection of 50％CCl4 olive oil solution(1.5 mL/kg,every week)for 24 weeks can stably simulate persistent chronic liver injury in rats and lead to the typical pathological changes and complications of chronic liver failure,based on the decompensation stage of cirrhosis.This model replicates the pathological evolution of human hepatitis from liver fibrosis → liver cirrhosis compensation → decompensation → chronic liver failure,providing a reliable modeling reference for the study of the mechanism of chronic liver failure.

OBJECTIVE To explore the construction of the physical identification model of twenty-five people of yin and yang by combining the hand diagnosis image analysis of machine learning,in order to enrich the input of physical identification features.METHODS Based on the theory of twenty-five people of yin and yang,the hand images of 542 patients with cardiovascular disease were collected by self-developed hand diagnosis acquisition equipment.The key points of the hand were extracted by the Mediapipe palm key point algorithm,and the palm area was segmented by geometry to obtain the length and color gamut characteristics of different parts.The physician with clinical license was used to determined the patient's yin and yang twenty-five constitution according to the e-lectronic medical record,and the patient's constitution was identified by comparing Random Forest,Logistic Regression,Xgboost algo-rithm and Light GBM.RESULTS This study successfully constructed a TCM constitution identification model based on hand charac-teristics,which can identify ten basic constitution types including gold wood,gold fire,gold water,gold soil,wood fire,wood water,wood soil,water fire,water soil and fire soil.After sample equalization,the Random Forest model performed best in physical identifi-cation,with an accuracy rate of 0.69,which was significantly better than other models.CONCLUSION The constitution identifica-tion model of TCM hand diagnosis based on hand characteristics can realize the constitution identification of the five elements of TCM.However,due to the use of only hand diagnosis data of TCM,the accuracy needs to be improved.Compared with the traditional body mass scale,it is more objective,convenient,highly stable and consistent.In the future,multimodal integration with face diagno-sis and whole body inspection can be carried out to promote the accuracy,intelligence and multi-dimensional evaluation ability of TCM constitution identification technology.

Objective To analyze coating properties of porous artificial joints,including coating morphology and coating mechanical properties,and summarize the range of coating properties of current mainstream products,to provide references for the design and development of new products,as well as provide the basis for the long-term implant removal analysis.Methods Samples for the surface morphology,shear strength,and tensile strength of the coatings used in the experiment were prepared in accordance with ASTM F1854,ASTM F1044,and ASTM F1 147 standards,respectively.The coatings were processed using plasma spraying.The surface morphology(coating thickness,porosity,and pore intercept)of the coatings for all 17 products(Nos.1-17)was tested;for products Nos.1-7 and Nos.15-16,the shear strength test between the coating and substrate was conducted first in accordance with the test method of ASTM F1044.Then,according to the test method of ASTM F1 147,the tensile strength test between the coating and substrate was conducted.For product No.17,the shear and tensile strengths of the composite coating and simple titanium coating were tested,respectively,according to the test method of ASTM F1044 and ASTM F1 147.Results A total of 15 products(88.2％)had coating thicknesses between 300 μm and 500 μm.There were 16 metal-coated products(Nos.1-16),of which 11(68.75％of the total)had coating porosities between 30％and 50％,and 14(87.5％of the total)had coating pore intercepts between 50 μm and 150 μm.The mechanical properties of the coatings were independent of the substrate material used.The shear and tensile strengths of the composite coatings with hydroxyaptite(HA)were significantly lower than those of the pure metal coatings.Conclusions For the design and manufacture of artificial joints with porous coatings,the performance of the coating can be referred to the following indexes:the coating thickness is 300-500 μm,the coating porosity is 30％-50％,the coating pore intercept is 50-150 μm.The substrate materials can be selected based on the use of the product.The effects of a lower bonding force on product performance should be considered when designing prostheses with composite coatings containing HA.This range of performance metrics provides control for long-term clinical extraction analyses.