Experimental studies showed that the water extract of rhubarb had low content of anthraquinone and a strong purgative while the alcohol extract a high content of anthraquinone and was free of purgative action,even tannin was eliminated.The purgative action of the water extract was also last when mixed with alcohol extract. The experimental results coincide with the traditional experience in Chinese medicinal theory:"the fresh Rhubarb has a purgative action while rhubarb prepared with wine can promote blood circulation and remove blood stasis."However, from the angle of anthraquinone and tannin, the explanation is unreasonable. It is indicated that the purgative action of rhubarb is greatly influenced, even disappears when prepared with alcohol. So, attention should be paid in the preparation process of Chinese patent drugs containing rhubarb.

Objective To explore the machine learning model and risk factor analysis for hospital infection caused by carbapenem-resistant enterobacteriaceae(CRE).Methods The clinical data of totally 451 patients infected with extended-spectrum β-lactamases(ESBL)producing Enterobacteriaceae treated in the hospital from 2018 to 2022 were retrospectively collected.The patients were divided into CRE group(115 cases)and sensitive group(336 cases)according to the susceptibility of carbapenem.Four machine learning methods in-cluding Logistic regression analysis,random forest,support vector machine,and neural network were used to build prediction models and receiver operating characteristic curve was used to evaluate.Based on the predic-tion model with the best performance,risk factors for CRE infection were analyzed.Results Random forest model had the best performance,with the area under the curve of 0.952 3.The risk factors for predicting CRE infection by the random forest model included 15 clinical data items,namely fever for more than 3 days,cere-bral injury,drainage fluid sample,trunk surgery,first-level or special-level nursing,ICU treatment,procalcito-nin,anti-anaerobic bacteria,the use of third-generation cephalosporins,age,pre-albumin,creatinine,white blood cell count,and albumin.Conclusion The CRE prediction model developed in this study has good predic-tive value and the risk factors have guiding significance for the early prevention and treatment of CRE infec-tion in clinical practice.