Perihematomal edema is common after hypertensive intracerebral hemorrhage. It is one of the important causes influencing functional recovery. This article reviews the mechanisms of perihematomal brain edema formation after hypertensive intracerebral hemorrhage, particularly, the potential mechanisms of hypertension in the processes of brain edema formation, as well as therapeutic targets of brain edema.

Objective To investigate the effect of blood pressure management on perihematomai edema in patients with acute hypertensive intracerebral hemorrhage. Methods The retrospective research method was used to conduct logistic regression analysis for the factors of age, number of days, antihypertensive drugs, dehydrating agents, and blood pressure in inpatients with hypertensive intracerebral hemorrhage from June 2005 to December 2007. Results Multivariate analysis found that both amlodipine (OR = 0. 208, 95% CI 0. 063-0. 684) and angiotensin-converting enzyme inhibitor (ACEI) (OR = 0. 280, 95% CI 0. 085-0. 920) were the protective factors for perihematomal edema; both the course of 10 to 20 days (OR =7.413, 95% CI 1. 362-40. 360) and poorly controlled diastolic blood pressure (OR = 6. 449, 95% CI 1. 011-41. 145) were the risk factors for perihematomal edema. Conclusions Amlodipine and ACEI may lower the risk of perihematomal edema in intracerebral hemorrhage, while the poorly controlled diastolic blood pressure and the course of 10 to 20 days are the risk factors for perihematomal edema.

Objective To evaluate the differences in chemical composition and pharmacological effects between Angelica-Astragalus medicine pair decoction(DGD)and traditional decotion,and to provide a reference for the rational clinical application of Danggui Buxue decoction.Methods With the two comparison methods of unified and non-uniform raw material source batches,we set up different sample groups,established characteristic maps by HPLC,and evaluated the chemical components based on the similarity of characteristic maps,component types,index component content,common peak area,and other factors.The efficacy of the drug was evaluated in the hemorrhagic blood deficiency model mice.Results ①The similarity of the feature map between the DGD and TD was high(similarity was greater than 0.87).②The number of chromatographic peaks was inconsistent.Traditional decoction from self-purchased decoction pieces,or traditional decoction-Factory A decoction pieces had a total of 12 chromatographic peaks each.The DGD of Factory A had a total of 15 chromatographic peaks.There were 10 chromatographic peaks in the DGD of Factory B.③The contents of ferulic acid and calycosin 7-O-glucoside(CG)in DGD of Factory A were higher than those in traditional decoction(P<0.05,n=3).There was no significant difference between DGD and TD ferulic acid content in Factory B,but the content of CG was lower than that in traditional decoction(P<0.05).④The total area of common peaks in DGD was different from that in TD.The relative total ratios of the contents of the components in the self-purchased traditional decoction pieces,the traditional decoction pieces of Factory A,the formula granules of Factory A,and the formula granules of Factory B were 1.00,0.96,2.14,0.60,respectively.⑤Both DGD and traditional decoction could significantly promote the recovery of hemoglobin and red blood cells in hemorrhagic anemia model mice(P<0.01);Compared with the model control group,there was a significantly difference(P<0.05)except for the DGD group of Plant B.There was no significant difference between DGD and TD of Plant A,but there was a very significant difference between DGD and TD of Plant B(P<0.01).Conclusion Whether the raw material source batch is consistent or not,DGD and TD have certain differences in chemical composition.In terms of pharmacological effect,DGD,prepared from a unified batch of decoction pieces,has similar efficacy to traditional decoction in alleviating hemorrhagic anemia.There are certain differences in the pharmacological effects between DGD prepared from different batches of decoction pieces and traditional decoctions.The differences caused by the different preparation processes of the same source batch of prepared slices were compared,and the quality differences of the formula granules from different manufacturers were caused by the different source batches of prepared slices and different preparation processes,indicating the necessity and urgency of the country to formulate a unified quality standard for formula granules and related process specifications.

OBJECTIVE： To establish the elimination method of outliers based on Grubbs rule and MATLAB language， and to evaluate the effects of it on drug bitterness evaluation. METHODS： Referring to Grubbs rule， the automatic cyclic outliers elimination method based on MATLAB language was established. Totally 20 volunteers were included in single oral taste test （Tetrapanax papyrifer） and multiple oral taste test （10 kinds of medicinal material as T. papyrifer， Changium smyrnioides， Poria cocos， etc.）. Seven sensors were selected for electronic tongue test （Clematis armandii）. The data of bitterness evaluation in above tests （oral taste test as bitterness value， electronic tongue test as response value of sensors） were used as the data source. Five researchers were selected and adopted table-by-table elimination method based on Grubbs rule （method one）， Excel software elimination method based on Grubbs rule （method two） and automatic cyclic outliers elimination method based on Grubbs rule and MATLAB language （method three） to judge and eliminate the outliers. The effects of above three methods were evaluated with the removal time and error rate of outliers as indexes. RESULTS： There were two outliers in the data of bitterness evaluation in single oral taste test； the elimination time of the three methods were（745.400 0±25.904 4），（288.333 3±31.253 1）and（0.000 3±0.000 0）s， respectively； error rates were 20.0％， 0 and 0， respectively. There were six outliers in the data of bitterness evaluation in multiple oral taste test； the elimination time of three methods were （3 693.107 7±75.023 3）， （1 494.761 4±53.826 9）， （0.005 2±0.000 0）s， respectively； error rates were 10.0％， 4.0％， 0， respectively. There were three outliers in the data of bitterness evaluation in electronic tongue test； the elimination time of three methods were （2 992.673 3±84.117 6）， （1 276.367 1±55.024 5）， （0.002 3±0.000 0）s， respectively； error rates were 5.7％， 2.9％， 0， respectively. The elimination results of the three methods were consistent. The elimination time of method two was significantly shorter than that of method one （P＜0.01）； the elimination time of method three was significantly shorter than those of method one and method two （P＜0.01）. There was no significant difference in error rate of 3 methods （P＞0.05）. CONCLUSIONS： The automatic cyclic elimination method of outliers based on Grubbs rule and MATLAB language can significantly shorten the elimination time of outliers in data of drug bitterness evaluation， improve the efficiency of data processing， and is suitable for drug bitterness evaluation.