ABSTRACT
OBJECTIVE：To explore th e influential factors of the price fluctuation of Chinese crud drug ，and to provide reference for the healthy development of tranditional Chinese medicine industry in China. METHODS ：Based on the relevant statistics from 1992 to 2019，a structural vector autoregressive model was established. After data stationarity test ，cointegration relationship test ，model estimation and stability test ，impulse response function and variance decomposition were used to investigate the impact of supply ，demand，cost of implantation and production and inflation on the price of Chinese crud drug. RESULTS & CONCLUSIONS：There was a long-term equilibrium relationship among the price of Chinese crud drug ，planting area of Chinese crud drug ，output of Chinese patent medicine ，market turnover of Chinese crud drug ，export volume of Chinese crud drug ，price index of agricultural means of production and consumer price index. The price of Chinese crud drug had the greatest impact and contribution rate on itself ，followed by planting area of Chinese crud drug ，export volume of Chinese crud drug and price index of agricultural means of production. However ，the output of Chinese patent medicine ，the turnover of Chinese crud drug market and consumer price index had weak influence. It is suggested to make full use of Internet information technology ，strengthen the price monitoring and early warning of Chinese crud drug ，promote the supply side structural reform of tranditional Chinese medicine industry，improve the scientific and technological level of Chinese crud drug planting and promote large-scale production of Chinese herbal medicine so as to stabilize the price of Chinese crud drug.
ABSTRACT
BACKGROUND: In contrast to classic drug injection method, various types of noninvasive spontaneous baroreflex sensitivity (SBRS) methods have been developed using the computer analysis of the spontaneous fluctuation of heart rate and arterial blood pressure for baroreflex evaluation. In this study, we evaluated the effects of sevoflurane anesthesia on SBRS by comparing various SBRS estimates and their correlations before and after sevoflurane anesthesia. METHODS: Radial arterial pressure and electrocardiography were recorded in 50 patients before and after sevoflurane anesthesia. We derived six SBRS indices from the methods including sequence, alpha-index, transfer function analysis and impulse response function. The sequence method measured an average of baroreflex sequences. The alpha-index used the average of the square roots of the ratios between the RRI and SBP spectral power. The transfer function index used RRI and SBP cross-spectral magnitude for this index. The impulse response function method employed an inverse Fourier transform. RESULTS: All SBRS and accompanying correlations were reduced after sevoflurane anesthesia. Low (44%) and high (4%) frequency transfer function gain and sequence SBRS (4%) failed to be computed out of some patients after sevoflurane anesthesia due to poor coherence and absence of a valid sequence. CONCLUSIONS: Sevoflurane anesthesia caused marked depression of SBRS and weakened their correlations. Therefore, it is necessary to understand the characteristics of each SBRS method for selecting an appropriate method during anesthesia.