1.Study on Optimization and Characterization of Dihydromyricetin Liposome
Na QI ; Fengxiang HUANG ; Ying LIAO ; Huajuan HE ; Shengjiu GU ; Guang LIU
World Science and Technology-Modernization of Traditional Chinese Medicine 2014;(6):1427-1433
This study was aimed to optimize dihydromyricetin liposome formulations by orthogonal design in order to study its characterization. Dihydromyricetin liposomes were prepared with thin-film ultrasonic dispersion technology. Formulations of dihydromyricetin liposomes were optimized with entrapment efficiency as the optimized index. The formulation and technology were evaluated by the single factor. Based on this, orthogonal design was made on the screening and optimization of dihydromyricetin liposome. Its morphology was observed by transmission electron micro-scope. Its in vitro drug-release behavior was studied by equilibrium dialysis. The preliminary stability was studied. The results showed that the optimized formulation and technology of dihydromyricetin liposome was when the molar ratio of lecithin and cholesterol was 1:1, the dosage of dihydromyricetin was 4.0 mg. The pH of PBS was 5.0, ultra-sonic time was 3 min. The encapsulation efficiency of dihydromyricetin liposome was 58.1%. Its morphology was small spherical or nearly spherical vesicle with observation in transmission electron microscope. It showed that the in vitro release of dihydromyricetin liposome arrived 76.29% in 48 h. The drug content was still 96.57% of dosage for 30 days at 4oC in the dark place. It was concluded that the optimized formulation and preparation technology of di-hydromyricetin liposome were simple, replicable and stable.
2.Construction of risk prediction model for predicting death or readmission in acute heart failure patients during vulnerable phase based on machine learning
Jing ZENG ; Xiaolong HE ; Huajuan HU ; Xiaoyu LUO ; Zhinian GUO ; Yunlong CHEN ; Min WANG ; Jiang WANG
Journal of Army Medical University 2024;46(7):738-745
Objective To construct risk prediction models of death or readmission in patients with acute heart failure(AHF)during the vulnerable phase based on machine learning algorithms and screen the optimal model.Methods A total of 651 AHF patients with admitted to Department of Cardiology of the Second Affiliated Hospital of Army Medical University from October 2019 to July 2021 were included.The clinical data consisting of admission vital signs,comorbidities and laboratory results were collected from electronic medical records.The composite endpoint was defined as all-cause death or readmission for worsening heart failure within 3 months after discharge.The patients were divided into a training set(521 patients)and a test set(130 patients)in a ratio of 8:2 through the simple random sampling.Six machine learning models were developed,including logistic regression(LR),random forest(RF),decision tree(DT),light gradient boosting machine(LGBM),extreme gradient boosting(XGBoost)and neural networks(NN).Receiver operating characteristic(ROC)curve and decision curve analysis(DCA)were used to evaluate the predictive performance and clinical benefit of the models.Shapley additive explanation(SHAP)was used to explain and evaluate the effect of different clinical characteristics on the models.Results A total of 651 AHF patients were included,of whom 203 patients(31.2%)died or were readmitted during the vulnerable phase.ROC curve analysis showed that the AUC values of the LR,RF,DT,LGBM,XGBoost and NN model were 0.707,0.756,0.616,0.677,0.768 and 0.681,respectively.The XGBoost model had the highest AUC value.DCA showed that the XGBoost model exhibited greater clinical net benefit compared with other models,with the best predictive performance.SHAP algorithm analysis showed that the clinical features that had the greatest impact on the output of the model were serum uric acid,D-dimer,mean arterial pressure,B-type natriuretic peptide,left atrial diameter,body mass index,and New York Heart Association(NYHA)classification.Conclusion The XGBoost model has the best predictive performance in predicting the risk of death or readmission of AHF patients during the vulnerable phase.
3.Effects of Dexmedetomidine on Regional Cerebral Oxygen Saturation and Cerebral Function in Patients underwent Intracranial Aneurysm Embolization
Huajuan LEI ; Yongjie TENG ; Qi ZHOU ; Meng CHEN ; Chunhui LI ; Jinjing HE ; Xinyu XIAO ; Cun MA ; Boyan LIU
China Pharmacy 2021;32(7):865-869
OBJECTIVE:To investigate the effects of dexmedetomidine on regional cerebral oxygen saturation and cerebral function in patients undergoing intracranial aneurysm embolization. METHODS :Totally 44 patients undergoing intracranial aneurysm embolization in the First Affiliated Hospital of Hunan University of TCM during Jun. 2017-Aug. 2019 were collected and randomly divided into group D (22 cases)and group C (22 cases). Ten minutes before anesthesia induction ,group D was given intravenous injection of Dexmedetomidine hydrochloride injection 1 μg/kg;group C was given buffered normal saline 20 μL. Both groups were induced with Propofol emulsion injection+Midazolam injection+Fentanyl citrate injection+Cisatracurium besylate for injection. During the operation ,group D was given Dexmedetomidine hydrochloride injection 0.5 μg(/ kg·h)+Fentanyl citrate injection+Benzsulfosum atracurium for injection+Propofol emulsion injection to maintain anesthesia ;group C was continuously pumped with buffered normal saline 0.5 μg(/ kg·h)+Fentanyl citrate injection + Benzsulfosum aratracurium for injection Propofol emulsion injection to maintain anesthesia. Before anesthesia induction (T0), immediately after anesthesia。induction (T1), 1 min after tracheal intubation (T2), immediately after operation finished (T3),immediately afte extubation(T4),the mean arterial pressure(MAP),heart rate 中国药房 2021年第32卷第7期 China Pharmacy 2021Vol. 32 No. 7 ·865· (HR),regional cerebral oxygen satur ation(rSO2)were observed in 2 groups. The levels of neuron specific enolase (NSE)and S100 β protein in serum were measured at T1,T3,6 h after operation (T6). The recovery time ,intraoperative blood loss , nitroglycerin amount and the occurrence of ADR were recorded. RESULTS :MAP and HR of group D at T 2-T4 were significantly lower than those at T 0;MAP and HR of group C at T 2-T4 were significantly higher than those at T 0;the group D were significantly lower than the group C at the same period (P<0.05);there was no statistical significance in rSO 2 between 2 groups at T 0-T4(P> 0.05). The levels of serum NSE and S 100β protein in 2 groups at T 3 were significantly higher than at T 1;those in 2 groups at T 6 were significantly lower than at T 3,but those of group D were significantly lower than the group C at T 3(P<0.05);there was no statistical significance in the levels of serum NSE or S 100β protein between 2 groups at T 1(P>0.05). The recovery time of anesthesia,the amount of nitroglycerin ,the incidence of tachycardia ,nausea and vomiting ,restlessness,shivering and cough in group D were significantly shorter or lower than group C (P<0.05);there was no statistical significance in the intraoperative blood loss between 2 groups(P>0.05). CONCLUSIONS :Dexmedetomidine can maintain the hemodynamic stability of patients with intracranial aneurysm embolization during the perioperative period ,has little effect on rSO 2 and brain function ,and has good safety.