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 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.