BACKGROUND Renal denervation(RDN)is a promising treatment based on catheter intervention for patients with refractory hypertension.However,the effect in patients with isolated systolic hypertension(ISH)remains controv...BACKGROUND Renal denervation(RDN)is a promising treatment based on catheter intervention for patients with refractory hypertension.However,the effect in patients with isolated systolic hypertension(ISH)remains controversial.The aim of this meta-analysis was to determine the blood pressure lowing effect of RDN in patients with ISH compared with combined systolic/diastolic hypertension(CH)patients.METHODS PubMed,Embase,Cochrane and ClinicalTrials.gov were searched for prospective clinical studies that included RDN.The outcomes of interest were the change of 24-hour ambulatory systolic blood pressure(SBP)from baseline.We used the fixed effects model to calculate weighted mean difference(WMD)with 95%confidence interval(CI).RESULTS Six trials were included,with 1405 participants,including 597 patients with ISH and 808 patients with CH.Mean follow-up was five months.The reduction of 24-hour ambulatory SBP was significantly greater for the CH patients than the ISH patients(WMD=3.89,95%CI:2.32–5.45,P<0.0001).RDN also showed a greater reduction in office SBP in the CH patients compared to the ISH patients(WMD=10.24,95%CI:4.24–15.74,P=0.0003).And the effect was independent of age,length of follow-up,and ablation device.CONCLUSIONS RDN provides superior blood pressure control in the CH patients compared with the ISH patients,and the CH patients may be the best suitable population for which RDN is indicated.展开更多
Introduction:We sought to investigate whether the development of sub-pulmonic systolic anterior motion(SAM)may be inherent to the anatomy of the the mitral valve(MV)or affected by external factors,such as a dilated ri...Introduction:We sought to investigate whether the development of sub-pulmonic systolic anterior motion(SAM)may be inherent to the anatomy of the the mitral valve(MV)or affected by external factors,such as a dilated right ventricle or chest abnormalities in d-looped transposition of the great arteries post atrial switch operation(d-TGA/AtS).Methods:Analysis was performed of clinical and cardiac imaging studies acquired on 19 adult patients with d-TGA/AtS(age 42±6 years old,56%male)between 2015–2019.Echocardiography data included mitral apparatus anatomy,and CT/MRI data included biventricular dimensions,function,and Haller index(HI)for pectus deformity.Results:Patients with leaflet SAM(n=6)compared to patients without SAM(n=13)had higher MV protrusion height(2.3±0.5 vs.1.5±0.4 cm,p≤0.01)and longer anterior MV leaflet length(3.1±0.4 cm vs.2.6±0.3 cm p≤0.05),when compared to those without.CT/MRI showed higher sub-pulmonic left ventricular ejection fraction(LVEF)in the SAM group(71%±8%vs.54%±7%,respectively).RV size and function,significant chest deformity(HI>3.5),presence of a ventricular lead pacemaker,and septal thickness did not play a role in development of SAM.Conclusions:An elongated mitral apparatus is associated with the development of SAM,and the development of left ventricular outflow tract obstruction(LVOTO),in d-TGA/AtS.LV hyperkinesia is associated with SAM.Systemic RV dimensions,septal thickness,and degree of chest deformity did not differ significantly between subjects with SAM and those without.展开更多
A recommender system is an approach performed by e-commerce for increasing smooth users’experience.Sequential pattern mining is a technique of data mining used to identify the co-occurrence relationships by taking in...A recommender system is an approach performed by e-commerce for increasing smooth users’experience.Sequential pattern mining is a technique of data mining used to identify the co-occurrence relationships by taking into account the order of transactions.This work will present the implementation of sequence pattern mining for recommender systems within the domain of e-com-merce.This work will execute the Systolic tree algorithm for mining the frequent patterns to yield feasible rules for the recommender system.The feature selec-tion's objective is to pick a feature subset having the least feature similarity as well as highest relevancy with the target class.This will mitigate the feature vector's dimensionality by eliminating redundant,irrelevant,or noisy data.This work pre-sents a new hybrid recommender system based on optimized feature selection and systolic tree.The features were extracted using Term Frequency-Inverse Docu-ment Frequency(TF-IDF),feature selection with the utilization of River Forma-tion Dynamics(RFD),and the Particle Swarm Optimization(PSO)algorithm.The systolic tree is used for pattern mining,and based on this,the recommendations are given.The proposed methods were evaluated using the MovieLens dataset,and the experimental outcomes confirmed the efficiency of the techniques.It was observed that the RFD feature selection with systolic tree frequent pattern mining with collaborativefiltering,the precision of 0.89 was achieved.展开更多
基金the National Natural Science Foundation of China(No.81970285).
文摘BACKGROUND Renal denervation(RDN)is a promising treatment based on catheter intervention for patients with refractory hypertension.However,the effect in patients with isolated systolic hypertension(ISH)remains controversial.The aim of this meta-analysis was to determine the blood pressure lowing effect of RDN in patients with ISH compared with combined systolic/diastolic hypertension(CH)patients.METHODS PubMed,Embase,Cochrane and ClinicalTrials.gov were searched for prospective clinical studies that included RDN.The outcomes of interest were the change of 24-hour ambulatory systolic blood pressure(SBP)from baseline.We used the fixed effects model to calculate weighted mean difference(WMD)with 95%confidence interval(CI).RESULTS Six trials were included,with 1405 participants,including 597 patients with ISH and 808 patients with CH.Mean follow-up was five months.The reduction of 24-hour ambulatory SBP was significantly greater for the CH patients than the ISH patients(WMD=3.89,95%CI:2.32–5.45,P<0.0001).RDN also showed a greater reduction in office SBP in the CH patients compared to the ISH patients(WMD=10.24,95%CI:4.24–15.74,P=0.0003).And the effect was independent of age,length of follow-up,and ablation device.CONCLUSIONS RDN provides superior blood pressure control in the CH patients compared with the ISH patients,and the CH patients may be the best suitable population for which RDN is indicated.
文摘Introduction:We sought to investigate whether the development of sub-pulmonic systolic anterior motion(SAM)may be inherent to the anatomy of the the mitral valve(MV)or affected by external factors,such as a dilated right ventricle or chest abnormalities in d-looped transposition of the great arteries post atrial switch operation(d-TGA/AtS).Methods:Analysis was performed of clinical and cardiac imaging studies acquired on 19 adult patients with d-TGA/AtS(age 42±6 years old,56%male)between 2015–2019.Echocardiography data included mitral apparatus anatomy,and CT/MRI data included biventricular dimensions,function,and Haller index(HI)for pectus deformity.Results:Patients with leaflet SAM(n=6)compared to patients without SAM(n=13)had higher MV protrusion height(2.3±0.5 vs.1.5±0.4 cm,p≤0.01)and longer anterior MV leaflet length(3.1±0.4 cm vs.2.6±0.3 cm p≤0.05),when compared to those without.CT/MRI showed higher sub-pulmonic left ventricular ejection fraction(LVEF)in the SAM group(71%±8%vs.54%±7%,respectively).RV size and function,significant chest deformity(HI>3.5),presence of a ventricular lead pacemaker,and septal thickness did not play a role in development of SAM.Conclusions:An elongated mitral apparatus is associated with the development of SAM,and the development of left ventricular outflow tract obstruction(LVOTO),in d-TGA/AtS.LV hyperkinesia is associated with SAM.Systemic RV dimensions,septal thickness,and degree of chest deformity did not differ significantly between subjects with SAM and those without.
文摘A recommender system is an approach performed by e-commerce for increasing smooth users’experience.Sequential pattern mining is a technique of data mining used to identify the co-occurrence relationships by taking into account the order of transactions.This work will present the implementation of sequence pattern mining for recommender systems within the domain of e-com-merce.This work will execute the Systolic tree algorithm for mining the frequent patterns to yield feasible rules for the recommender system.The feature selec-tion's objective is to pick a feature subset having the least feature similarity as well as highest relevancy with the target class.This will mitigate the feature vector's dimensionality by eliminating redundant,irrelevant,or noisy data.This work pre-sents a new hybrid recommender system based on optimized feature selection and systolic tree.The features were extracted using Term Frequency-Inverse Docu-ment Frequency(TF-IDF),feature selection with the utilization of River Forma-tion Dynamics(RFD),and the Particle Swarm Optimization(PSO)algorithm.The systolic tree is used for pattern mining,and based on this,the recommendations are given.The proposed methods were evaluated using the MovieLens dataset,and the experimental outcomes confirmed the efficiency of the techniques.It was observed that the RFD feature selection with systolic tree frequent pattern mining with collaborativefiltering,the precision of 0.89 was achieved.
