Objective To explore the medication patterns of the"phlegm-stasis co-treatment"in the treatment of stroke and the regulatory mechanisms of its key components.Methods The relevant literature on the treatment of stroke with intertwined phlegm and blood stasis pattern by traditional Chinese medicine in CNKI,Wanfang Data Knowledge Service Platform and VIP was collected.Excel 2019 and SPSS Modeler 18.0 were applied to statistically analyze the nature,taste,meridian tropism and frequency of the drugs included in the prescriptions.The Apriori algorithm was used to perform association rule analysis and cluster analysis.The potential mechanism of action of the core drug pair was explored by using the network pharmacology method.Results A total of 69 prescriptions involving 161 herbs with 902 cumulative frequency uses were included.The four natures were mainly warm,neutral and cold,the five flavors were mainly bitter,sweet and pungent.and channel tropism were mainly liver meridian and spleen meridian.The analysis of association rules indicates that there was a strong correlation among chuanxiong,Taoren,Dannanxing,Dilong,Honghua,Shichangpu and Fuling.The main active components of the drug combination were quercetin,gallic acid,baicalein and hederagenin.They can regulate signaling pathways such as hypoxia-inducible factor-1,advanced glycation end product/advanced glycation end product receptor,nuclear factor κB,and mixed lineage kinase 3 by acting on genes such as STAT3,SRC,JUN,TP53,and MAPK1.Conclusion The core drugs of"phlegm-stasis co-treatment"method can act on multiple targets and pathways through components such as quercetin,gallic acid,baicalein and hederagenin,thereby exerting a therapeutic effect on stroke.

Objective To explore the medication patterns of the"phlegm-stasis co-treatment"in the treatment of stroke and the regulatory mechanisms of its key components.Methods The relevant literature on the treatment of stroke with intertwined phlegm and blood stasis pattern by traditional Chinese medicine in CNKI,Wanfang Data Knowledge Service Platform and VIP was collected.Excel 2019 and SPSS Modeler 18.0 were applied to statistically analyze the nature,taste,meridian tropism and frequency of the drugs included in the prescriptions.The Apriori algorithm was used to perform association rule analysis and cluster analysis.The potential mechanism of action of the core drug pair was explored by using the network pharmacology method.Results A total of 69 prescriptions involving 161 herbs with 902 cumulative frequency uses were included.The four natures were mainly warm,neutral and cold,the five flavors were mainly bitter,sweet and pungent.and channel tropism were mainly liver meridian and spleen meridian.The analysis of association rules indicates that there was a strong correlation among chuanxiong,Taoren,Dannanxing,Dilong,Honghua,Shichangpu and Fuling.The main active components of the drug combination were quercetin,gallic acid,baicalein and hederagenin.They can regulate signaling pathways such as hypoxia-inducible factor-1,advanced glycation end product/advanced glycation end product receptor,nuclear factor κB,and mixed lineage kinase 3 by acting on genes such as STAT3,SRC,JUN,TP53,and MAPK1.Conclusion The core drugs of"phlegm-stasis co-treatment"method can act on multiple targets and pathways through components such as quercetin,gallic acid,baicalein and hederagenin,thereby exerting a therapeutic effect on stroke.

Objective: To investigate the predictive value of serum high-mobility group box-1 protein (HMGB1) for hemorrhage transformation (HT) after intravenous thrombolysis in patients with acute ischemic stroke. Methods: From February 2017 to September 2019, patients with acute ischemic stroke underwent intravenous thrombolysis in Lixin County People's Hospital, Bozhou, Anhui Province were enrolled prospectively. In the morning of the day after admission, fasting blood was collected to detect the level of serum HMGB1. Twenty-four hours after intravenous thrombolysis, CT reexamination was performed to determine whether HT occurred. The demographic and baseline clinical data were compared between the HT group and the non-HT group. Multivariate logistic regression analysis was used to determine the independent risk factors for HT after thrombolysis. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of serum HMGB1 level to HT. Results: A total of 182 patients were enrolled in the study, including 22 in the HT group and 160 in the non-HT group. The age, fasting blood glucose, serum HMGB1 level, and the proportion of history of atrial fibrillation and regular antiplatelet medication before onset in the HT group was significantly higher than those in the non-HT group, and the differences were statistically significant (all P<0.05). Multivariate logistic regression analysis showed that the increased serum HGMB1 level (odds ratio [OR] 2.145, 95% confidence interval[CI] 1.467-3.138; P=0.002), taking antiplatelet drugs regularly before onset (OR 5.496, 95% CI 1.700-17.768; P=0.004) and increased baseline fasting blood glucose level (OR 1.333, 95% CI 1.024-1.736; P=0.033) were the independent risk factors for HT after intravenous thrombolysis. ROC curve analysis showed that the area under the curve of serum HMGB1 level predicting HT after intravenous thrombolysis was 0.788 (95% CI 0.721-0.845; P<0.001). The sensitivity and specificity were 72.73% and 82.50%, respectively, when the best cutoff value was 7.97 μg/L. Conclusion The increased baseline HMGB1 level may predict the risk of HT after intravenous thrombolysis in patients with acute ischemic stroke.

Objective:To observe the effect of nutritional intervention in patients with hepatic diabetes.Methods:57 patients were enrolled and randomly divided into treatment group(n=29) and control group(n=28).On the base of same liver medicine,the control group received insulin therapy while the treatment group received strict nutrition intervention.Results:The level of fasting blood glucose and blood glucose 2 hours after meal and glycosylated hemoglobin were decreased significantly in treatment group(P