Objective To observe the value of MR vessel wall imaging(VMI)for predicting instability status of intracranial aneurysm(IA).Methods MR angiography(MRA)and vascular wall imaging(VWI)data of 506 patients with single IA were retrospectively analyzed.Asymptomatic IA was included in stable status group(n=349),while those with enlargement during follow-up or threatened rupture symptoms were taken as instable status group(n=157).The patients were divided into training set(n=354)and validation set(n=152)at a ratio of 7:3.The least absolute shrinkage and selection operator(LASSO)and multivariate logistic regression were performed to screen risk factors associated with IA instability based on clinical data,MRA and VWI manifestations.Then model 1 was constructed based the above indexes,while model 2 was established based only on MRA manifestations of IA.The receiver operating characteristic curve was plotted,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting IA instability.Results LASSO and multivariate logistic regression showed that female patient,age＜50 years with history of cerebral infarction and IA wall enhancement on MRA were all independent predictors of IA instability status.The AUC of model 1 for predicting instability status of IA was 0.733 and 0.742 in training set and validation set,respectively,both higher than that of model 2(0.593 and 0.609,both P＜0.05).Conclusion MR VWI was helpful for predicting IA instability status.

Objective To explore the predictive value of heparin-binding protein(HBP)combined with soluble growth-stimulated gene 2 protein(sST2)for the prognosis of elderly patients with acute heart failure(AHF).Methods A total of 338 elderly AHF patients who were treated in the Affiliated Hospital of Xuzhou Medical University and Kuitun Hospital of Ili Kazakh Autonomous Prefecture from April 2021 to March 2022 were selected as the research subjects.The patients were followed up for 1 year.According to whether the ma-jor adverse cardiovascular and cerebrovascular events(MACE)occurred during the follow-up period,they were divided into the MACE group and the non-MACE group,respectively.The baseline characteristics of the patients were recorded,laboratory indicators were detected,transthoracic color Doppler ultrasound examina-tion was completed,the risk factors affecting the prognosis of elderly patients with AHF,as well as the predic-tive value of HBP and sST2 for the prognosis of elderly patients with AHF were analyzed.Results Among the 338 elderly AHF patients,101 patients experienced MACE,and 237 patients did not.The levels of serum creatinine,NT-proBNP,troponin T,white blood cell count(WBC),left ventricular end-diastolic diameter(LVEDD),HBP,and sST2 in the MACE group were higher than those in the non-MACE group,while the left ventricular ejection fraction(LVEF)was lower than that in the non-MACE group,and the differences were statistically significant(P＜0.05).LVEF was a protective factor for the occurrence of MACE(HR＜1,P＜0.05)and age,diabetes mellitus,creatinine,NT-proBNP,troponin T,LVEF,WBC,HBP,and sST2(HR≥1,P＜0.05)were the influencing factors for the occurrence of MACE.The optimized model(Model 5)has the highest predictive efficiency for the prognosis of elderly patients with AHF,with an area under the curve(AUC)of 0.976(95％CI:0.962-0.990).Conclusion Both HBP and sST2 are independent risk factors for the occurrence of MACE in elderly AHF patients.The predictive model established by combining HBP and sST2 has a high predictive value.

Objectives:Using data from the heart transplant patient dataset of our center,we aimed to develop a preoperative risk scoring model specifically suitable for the Chinese population undergoing heart transplantation.This model was established to predict the likelihood of graft failure within the first year post-surgery and classify recipients according to their risk level.Methods:A retrospective study was conducted at a single center on 1 210 consecutive heart transplant recipients between June 2004 and December 2022.Risk factor screening was performed using univariate and multivariate logistic regression analyses.Variable selection was carried out through a stepwise backward procedure based on the Akaike Information Criterion(AIC).The regression coefficients obtained from the final model were employed as weighting factors in the multifactor analysis.The study utilized the area under the receiver operating characteristic(ROC)area under curve(AUC)as a metric to evaluate the performance of the model.Patients were stratified into low,medium,and high-risk groups based on the distribution of the calculated scores.Survival analysis was conducted on the various risk groups using the Kaplan-Meier method,with statistical comparisons performed using the log-rank test.A significance level of P<0.05 was deemed statistically significant.Results:A risk scoring model,denoted as the heart transplant(HTx)score,was developed,comprising 11 variables and yielding a total score of 20.6 points.In comparison to the low-risk group,the OR for 1-year graft failure in the medium-risk group was 2.0(95%CI:1.1-3.6,P=0.02),while the high-risk group had an OR of 9.8(95%CI:5.4-17.7,P<0.01).The risk scoring model exhibited strong discriminative ability with an AUC of 0.712(95%CI:0.646-0.778)and an internally validated bias-corrected AUC of 0.713.The results of the Hosmer-Lemeshow goodness-of-fit test indicated that the predictive model demonstrated a strong calibration ability(Hosmer-Lemeshow χ2=2.92,P=0.71).Within the cohort,the AUC values for the IMPACT score,UNOS score,RSS score,Mayo score,BO score,and TRS score models were 0.645,0.651,0.632,0.589,0.610,and 0.604,respectively.These findings suggest that the HTx scoring model exhibited superior predictive performance compared to the aforementioned models in forecasting outcomes within our cohort.The Kaplan-Meier survival analysis revealed statistically significant differences in long-term survival rates between the three risk groups,a noticeable decrease in long-term survival rates were observed with increasing levels of HTx risk stratification(P<0.05).Conclusions:Present results indicate a significant association between the developed HTx risk scores and graft failure within the initial year post-surgery,present model effectively categorizes the heart transplant recipients into low,medium,and high-risk groups and is valuable for risk stratification.

Objectives:When heparin-induced thrombocytopenia(HIT)is diagnosed before heart transplantation,recommendation varies according to small sample observations from other countries.In China,recent HIT is considered as a relative contradiction for heart transplantation and clinical study results is not yet available.Methods:A total of 325 patients who received heart transplantation in Fuwai Hospital from January 1,2022 to July 31,2024 were retrospectively analyzed,124 of whom received instrumental circulation and heparin before transplantation,and 15 of whom had suspected HIT before surgery.Diagnostic strategy was based on clinical investigation,antibody detection and expert opinion.Results:All 15 patients used intra-aortic balloon pump(IABP)preoperatively,6 were diagnosed with HIT,contributing 4.8%of those who used mechanical circulation support before heart transplantation.Three patients were tested positive for HIT-Ab just before surgery.Three different anticoagulation strategies:bivalirudin,heparin,and combined bivalirudin and heparin was used in each of the 3 patients,respectively.Their clinical features varied significantly.The first patient experienced challenging bleeding issue and cervical vein embolization.The second patient experienced low-limb embolization and the third patient experienced spleen artery embolization.Thrombocyte count returned to normal range at day 8,6 and 10 respectively post operation.Conclusions:HIT is not rare in patients using IABP and other mechanical circulation support devices before heart transplantation.Diagnosis and treatment of HIT is challenging for patients awaiting heart transplantation.

Usnic acid,a secondary metabolite derived from lichens,has been extensively utilized in pharmaceuticals,dietary supplements,and various daily chemical products,including feed,dye,food,perfume and cosmetics,due to its notable pharmacological effects,including anti-tumor,antibacterial,antiviral,and anti-inflammatory properties.Recent studies have shown that usnic acid can inhibit the occurrence and progression of various tumors through inducing apoptosis and autophagy,arresting cell cycle progression,inhibiting cell migration and invasion,and regulating the expression of microRNAs(miRNAs).Furthermore,usnic acid can be combined with clinical anticancer drugs to achieve synergistic anti-cancer effects.Additionally,modified usnic acid analogues also exhibit significant anti-tumor activity.This article will focus on the current research status of usnic acid,examining its physical and chemical properties,the mechanisms underlying its anti-tumor effects,and the anti-tumor activity of its analogues.

Objectives:When heparin-induced thrombocytopenia(HIT)is diagnosed before heart transplantation,recommendation varies according to small sample observations from other countries.In China,recent HIT is considered as a relative contradiction for heart transplantation and clinical study results is not yet available.Methods:A total of 325 patients who received heart transplantation in Fuwai Hospital from January 1,2022 to July 31,2024 were retrospectively analyzed,124 of whom received instrumental circulation and heparin before transplantation,and 15 of whom had suspected HIT before surgery.Diagnostic strategy was based on clinical investigation,antibody detection and expert opinion.Results:All 15 patients used intra-aortic balloon pump(IABP)preoperatively,6 were diagnosed with HIT,contributing 4.8%of those who used mechanical circulation support before heart transplantation.Three patients were tested positive for HIT-Ab just before surgery.Three different anticoagulation strategies:bivalirudin,heparin,and combined bivalirudin and heparin was used in each of the 3 patients,respectively.Their clinical features varied significantly.The first patient experienced challenging bleeding issue and cervical vein embolization.The second patient experienced low-limb embolization and the third patient experienced spleen artery embolization.Thrombocyte count returned to normal range at day 8,6 and 10 respectively post operation.Conclusions:HIT is not rare in patients using IABP and other mechanical circulation support devices before heart transplantation.Diagnosis and treatment of HIT is challenging for patients awaiting heart transplantation.

Usnic acid,a secondary metabolite derived from lichens,has been extensively utilized in pharmaceuticals,dietary supplements,and various daily chemical products,including feed,dye,food,perfume and cosmetics,due to its notable pharmacological effects,including anti-tumor,antibacterial,antiviral,and anti-inflammatory properties.Recent studies have shown that usnic acid can inhibit the occurrence and progression of various tumors through inducing apoptosis and autophagy,arresting cell cycle progression,inhibiting cell migration and invasion,and regulating the expression of microRNAs(miRNAs).Furthermore,usnic acid can be combined with clinical anticancer drugs to achieve synergistic anti-cancer effects.Additionally,modified usnic acid analogues also exhibit significant anti-tumor activity.This article will focus on the current research status of usnic acid,examining its physical and chemical properties,the mechanisms underlying its anti-tumor effects,and the anti-tumor activity of its analogues.

Objective To observe the value of MR vessel wall imaging(VMI)for predicting instability status of intracranial aneurysm(IA).Methods MR angiography(MRA)and vascular wall imaging(VWI)data of 506 patients with single IA were retrospectively analyzed.Asymptomatic IA was included in stable status group(n=349),while those with enlargement during follow-up or threatened rupture symptoms were taken as instable status group(n=157).The patients were divided into training set(n=354)and validation set(n=152)at a ratio of 7:3.The least absolute shrinkage and selection operator(LASSO)and multivariate logistic regression were performed to screen risk factors associated with IA instability based on clinical data,MRA and VWI manifestations.Then model 1 was constructed based the above indexes,while model 2 was established based only on MRA manifestations of IA.The receiver operating characteristic curve was plotted,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting IA instability.Results LASSO and multivariate logistic regression showed that female patient,age＜50 years with history of cerebral infarction and IA wall enhancement on MRA were all independent predictors of IA instability status.The AUC of model 1 for predicting instability status of IA was 0.733 and 0.742 in training set and validation set,respectively,both higher than that of model 2(0.593 and 0.609,both P＜0.05).Conclusion MR VWI was helpful for predicting IA instability status.

Objectives:Using data from the heart transplant patient dataset of our center,we aimed to develop a preoperative risk scoring model specifically suitable for the Chinese population undergoing heart transplantation.This model was established to predict the likelihood of graft failure within the first year post-surgery and classify recipients according to their risk level.Methods:A retrospective study was conducted at a single center on 1 210 consecutive heart transplant recipients between June 2004 and December 2022.Risk factor screening was performed using univariate and multivariate logistic regression analyses.Variable selection was carried out through a stepwise backward procedure based on the Akaike Information Criterion(AIC).The regression coefficients obtained from the final model were employed as weighting factors in the multifactor analysis.The study utilized the area under the receiver operating characteristic(ROC)area under curve(AUC)as a metric to evaluate the performance of the model.Patients were stratified into low,medium,and high-risk groups based on the distribution of the calculated scores.Survival analysis was conducted on the various risk groups using the Kaplan-Meier method,with statistical comparisons performed using the log-rank test.A significance level of P<0.05 was deemed statistically significant.Results:A risk scoring model,denoted as the heart transplant(HTx)score,was developed,comprising 11 variables and yielding a total score of 20.6 points.In comparison to the low-risk group,the OR for 1-year graft failure in the medium-risk group was 2.0(95%CI:1.1-3.6,P=0.02),while the high-risk group had an OR of 9.8(95%CI:5.4-17.7,P<0.01).The risk scoring model exhibited strong discriminative ability with an AUC of 0.712(95%CI:0.646-0.778)and an internally validated bias-corrected AUC of 0.713.The results of the Hosmer-Lemeshow goodness-of-fit test indicated that the predictive model demonstrated a strong calibration ability(Hosmer-Lemeshow χ2=2.92,P=0.71).Within the cohort,the AUC values for the IMPACT score,UNOS score,RSS score,Mayo score,BO score,and TRS score models were 0.645,0.651,0.632,0.589,0.610,and 0.604,respectively.These findings suggest that the HTx scoring model exhibited superior predictive performance compared to the aforementioned models in forecasting outcomes within our cohort.The Kaplan-Meier survival analysis revealed statistically significant differences in long-term survival rates between the three risk groups,a noticeable decrease in long-term survival rates were observed with increasing levels of HTx risk stratification(P<0.05).Conclusions:Present results indicate a significant association between the developed HTx risk scores and graft failure within the initial year post-surgery,present model effectively categorizes the heart transplant recipients into low,medium,and high-risk groups and is valuable for risk stratification.