Objective To discuss the medication regularity of prescriptions containing Asini Corii Colla;To provide data support for clinical compatibility application of Asini Corii Colla.Methods Totally 2635 articles about prescriptions containing Asini Corii Colla were retrieved from CNKI from Jan. 1995 to Dec. 2012. TCM Inheritance Support System V2.0 was employed to conduct frequency analysis and association rules analysis, with a purpose to determine the frequency, indications of disease, indications of syndrome and medicine core combination of common prescriptions containing Asini Corii Colla.Results The 2635 prescriptions containing Asini Corii Colla involved 1197 Chinese herbal medicines, 34 kinds of which were used in extremely high frequency (frequency>200). 30 kinds of indications of disease were treated in the high frequency (frequency>20). 32 kinds of indications of syndrome were treated in the high frequency (frequency>20). The combination of Glycyrrhizae Radix et Rhizoma, Angelicae Sinensis Radix and Asini Corii Colla showed the highest frequency in all three herbal combinations (486 times), and Atractylodix Macrocephalae Rhizoma, Asini Corii Colla, Codonopsis Radix and Astragali Radix showed the highest frequency in all four herbal combinations (272 times).Conclusion Most of compatibility them can enrich blood and tonify qi, and have major functions for gynecological diseases and major syndromes of qi-blood deficiency.

As a traditional Chinese medicine, Valeriana jatamansi has a long history of application in China. It is widely distributed and commonly adopted by many ethnic groups. In particular, its roots have a wide range of medicinal value. With the increasingly more attention on it from domestic and foreign researchers, there have been more and more studies on its pharmacological activity and mechanism. This essay summarizes domestic and foreign reports on its pharmacological activity and mechanism.
Animals ; Anti-Infective Agents ; pharmacology ; Antihypertensive Agents ; pharmacology ; Antineoplastic Agents, Phytogenic ; pharmacology ; Central Nervous System Depressants ; pharmacology ; Gastrointestinal Tract ; drug effects ; Humans ; Plant Extracts ; adverse effects ; pharmacology ; Valerian

Objective: Ban Fenghe recorded in the Quality Standard of Yao Medicine of Guangxi Zhuang Autonomous Region (Volume 1) is derived from the dried stems and leaves of Semiliquidambar cathayensis. It is usually confused with medicinal herbs from Pterospermum heterophyllum and Dendropanax dentiger. However, they are very different in chemical composition, and should not be used as the same drug. To ensure their safety and efficacy, a method based on macroscopic and microscopic characteristics was developed to distinguish them. Methods: A total of 14 batches of Ban Fenghe samples from three species were collected from different producing areas in China. The macroscopic characteristics were examined by observing external traits. The tissue structures of transverse sections of stems and leaves, the leaf epidermis, and the powder were observed microscopically. Results: The branchlets and leaf surfaces of S. cathayensis and P. heterophyllum were hairy, especially the lower leaf surfaces of P. heterophyllum were densely covered with hairs, but those of D. dentiger were hairless. The pericyclic fibers of S. cathayensis stems were intermittently distributed in a circular shape and accompanied by stone cells, whereas those of P. heterophyllum and D. dentiger were bundled without stone cells. So stone cells and hairs were present in S. cathayensis powder, stone cells were not found in P. heterophyllum and D. dentiger powder, and hairs were not present in D. dentiger powder. The distribution sites, sizes and types of secretory tissues of these three species were also different in transverse sections of stems and leaves. Stomata on the lower epidermis of S. cathayensis leaves were paracytic, whereas those of P. heterophyllum and D. dentiger were anomocytic. Conclusion: Ban Fenghe drugs derived from S. cathayensis could readily be distinguished from those of P. heterophyllum and D. dentiger by macroscopic and microscopic features.

OBJECTIVETo study the accuracy of pulse contour cardiac output (PCCO) during blood volume change.

METHODSHemorrhagic shock model was made in twenty dogs followed by volume resuscitation. Two PiCCO catheters were placed into each model to monitor the cardiac output (CO). One of catheters was used to calibrate CO by transpulmonary thermodilution technique (COTP) (calibration group), and the other one was used to calibrate PCCO (none-calibration group). In the hemorrhage phase, calibration was carried out each time when the blood volume dropped by 5 percents in the calibration group until the hemorrhage volume reached to 40 percent of the basic blood volume. Continuous monitor was done in the none-calibration group.Volume resuscitation phase started after re-calibration in the two groups. Calibration was carried out each time when the blood equivalent rose by 5 percents in calibration group until the percentage of blood equivalent volume returned back to 100. Continuous monitor was done in none-calibration group. COTP, PCCO, mean arterial pressure (MAP), systemic circulation resistance (SVR), global enddiastolic volume (GEDV) were recorded respectively in each time point.

RESULTS(1) At the baseline, COTP in calibration group showed no statistic difference compared with PCCO in none-calibration group (P >0.05). (2) In the hemorrhage phase, COTP and GEDV in calibration group decreased gradually, and reached to the minimum value (1.06 ± 0.57) L/min, (238 ± 93) ml respectively at TH8. SVR in calibration group increased gradually, and reached to the maximum value (5 074 ± 2 342) dyn · s · cm⁻⁵ at TH6. However, PCCO and SVR in none-calibration group decreased in a fluctuating manner, and reached to the minimum value (2.42 ± 1.37) L/min, (2 285 ± 1 033) dyn · s · cm⁻⁵ respectively at TH8. COTP in the calibration group showed a significant statistic difference compared with PCCO in the none-calibration group at each time point (At TH1-8, t values were respectively -5.218, -5.495, -4.639, -6.588, -6.029, -5.510, -5.763 and -5.755, all P < 0.01). From TH1 to TH8, the difference in percentage increased gradually. There were statistic differences in SVR at each time point between the two groups (At TH1 and TH4, t values were respectively 2.866 and 2.429, both P < 0.05, at TH2 - TH3 and TH5 - TH8, t values were respectively 3.073, 3.590, 6.847, 8.425, 6.910 and 8.799, all P < 0.01). There was no statistic difference in MAP between the two groups (P > 0.05). (3) In the volume resuscitation phase, COTP and GEDV in the calibration group increased gradually. GEDV reached to the maximum value ((394±133) ml) at TR7, and COTP reached to the maximum value (3.15 ± 1.42) L/min at TR8. SVR in the calibration group decreased gradually, and reached to the minimum value (3 284 ± 1 271) dyn · s · cm⁻⁵ at TR8. However, PCCO and SVR in the none-calibration group increased in a fluctuating manner. SVR reached to the maximum value (8 589 ± 4 771) dyn · s · cm⁻⁵ at TR7, and PCCO reached to the maximum value (1.35 ± 0.70) L/min at TR8. COTP in the calibration group showed a significant statistic difference compared with PCCO in the none-calibration group at each time point (At TR1-8, t values were respectively 8.195, 8.703, 7.903, 8.266, 9.600, 8.340, 8.938, 8.332, all P < 0.01). From TR1 to TR8, the difference in percentage increased gradually. There were statistic differences in SVR at each time point between the two groups (At TR1, t value was -2.810, P < 0.05, at TR2-8, t values were respectively -6.026, -6.026, -5.375, -6.008, -5.406, -5.613 and -5.609, all P < 0.05). There was no statistic difference in MAP between the two groups (P > 0.05).

CONCLUSIONPCCO could not reflect the real CO in case of rapid blood volume change, which resulting in the misjudgment of patient's condition. In clinical practice, more frequent calibrations should be done to maintain the accuracy of PCCO in rapid blood volume change cases.

Animals ; Blood Volume ; Calibration ; Cardiac Output ; Disease Models, Animal ; Dogs ; Humans ; Monitoring, Physiologic ; Shock, Hemorrhagic ; diagnosis ; Thermodilution