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Objective To establish a method for the simultaneous determination of ursolic acid(UA)and oleanolic acid(OA) in Ziziphora clinopodioides Lam.,and the quantitative determination the UA and OA contents in the different Z. clinopodioides plant samples collected with various parts of the plant at different times,from different regions of Xinjiang,China. Methods Dual wave?length scanning method was used for the quantification of UA and OA spots on a silica gel G plate in the TLC analysis. The samples loaded on the silica gel G plate were in situ treated with the 1%iodine solution in dichloromethane,and then the plate was developed using cyclohexane,cyclohexane-chloroform-ethyl acetate-formic acid(20:5:8:0.1)as the developing solvent. In the dual wavelength scanning,the measurement wavelength was 530 nm and the reference wavelength was 700 nm. Results The UA and OA spots in samples were well separated on the TLC plate and could be simultaneously quantified by the present method. The average contents of UA and OA in Z. clinopodioides plant samples from 18 different areas were(1.84 ± 0.41)and(2.82 ± 0.89)mg/g,respectively. The contents of UA and OA in the plant increased from late spring to early summer and then decreased thereafter. As to the different parts of the plant,the contents of UA and OA were highest in leaves and lowest in stems. Conclusion The method is simple,fast and accu?rate. The present results provided basic data for further evaluation of the quality of Z. clinopodioides resources.
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Objective:To explore the risk factors for in-hospital mortality in patients with non-ST segment elevation myocardial infarction (NSTEMI) in China.Methods:The information of 5816 NSTEMI patients from 2013-01 to 2014-09 by China Acute Myocardial Infarction (CAMI) registry were extracted.Our research included in 2 groups:In-hospital death group,n=352 and In-hospital survival group,n=5464.The baseline condition,laboratory examination,treatment and the in-hospital outcomes were collected;the independent risk factors for in-hospital mortality were studied by multivariable Logistic regression analysis.Results:6.05％ (352/5816) patients died during hospitalization.The baseline conditions were different between 2 groups.Multivariable Logistic regression analysis indicated that age,BMI,systolic blood pressure,Killip classification,heart arrest,ST-segment depression in ECG,new onset of Complete left bundle branch block,serum creatinine,white blood cells,Count nonsmoker,previous history of MI and PCI were the independent risk factors for in-hospital mortality in NSTEMI patients.Conclusion:The above 12 variables were the independent risk factors for in-hospital mortality in NSTEMI patients which should be helpful for identifying the high risk patients at the early stage in clinical practice.
RESUMO
Objective:To explore the risk factors for in-hospital mortality in patients with non-ST segment elevation myocardial infarction (NSTEMI) in China.Methods:The information of 5816 NSTEMI patients from 2013-01 to 2014-09 by China Acute Myocardial Infarction (CAMI) registry were extracted.Our research included in 2 groups:In-hospital death group,n=352 and In-hospital survival group,n=5464.The baseline condition,laboratory examination,treatment and the in-hospital outcomes were collected;the independent risk factors for in-hospital mortality were studied by multivariable Logistic regression analysis.Results:6.05％ (352/5816) patients died during hospitalization.The baseline conditions were different between 2 groups.Multivariable Logistic regression analysis indicated that age,BMI,systolic blood pressure,Killip classification,heart arrest,ST-segment depression in ECG,new onset of Complete left bundle branch block,serum creatinine,white blood cells,Count nonsmoker,previous history of MI and PCI were the independent risk factors for in-hospital mortality in NSTEMI patients.Conclusion:The above 12 variables were the independent risk factors for in-hospital mortality in NSTEMI patients which should be helpful for identifying the high risk patients at the early stage in clinical practice.