摘要
目的：探讨中药当归芍药散治疗慢性乙型肝炎的临床疗效及作用机制。方法用中药当归芍药散以疏肝健脾，活血化瘀，健脾利湿为法治疗慢性乙型肝炎肝郁脾虚证患者30例，并以健脾益肝汤为对照组进行比较。结果治疗组显效率为43.33%，有效率为43.33%，总有效率为86.67%，对照组显效率为30.00%，有效率为46.67%，总有效率为76.67%，经统计学处理，两组显效率及总有效率均差异有显著性(P<0.05)，说明治疗组疗效优于对照组。此外，治疗组在减轻症状、体征，改善肝功能、肝脾B型超声等方面均明显优于对照组。结论中药当归芍药散是《金匮要略论注》经验方，经临床观察及实验研究，有明显的疏肝健脾，活血化瘀，健脾利湿功效，临床用以治疗慢性乙型肝炎肝郁脾虚证收到很好的疗效。中药当归芍药散具有明显的保肝降酶、改善临床症状、体征的作用，临床观察疗效确切，无毒副作用，治疗慢性乙型肝炎极具研究价值及开发前景。
Abstract
Objective To explore the Chinese angelica extract powder treatment of chronic hepatitis B clinical curative effect and mechanism of action. Methods Angelica peony spread to liver with Chinese traditional medicine the spleen, activate blood, spleen as a method for the treatment of chronic hepatitis B liver depression with wet 30 cases of patients with spleen deficiency and spleen and liver soup profit as control group. Results The treatment group significant efficiency was 43. 33%, effective rate was 43. 33%, total effective rate was 86. 67%, the control efficiency of 30. 00%, effective rate was 46. 67%, total effective rate was 76. 67%, after statistics processing, two groups show the efficiency and total effective rate were significant difference ( P<0. 05 ) , the treatment group curative effect is better than the control group. In addition, the treatment group in alleviating symptoms, signs, improving liver function, liver and spleen type B ultrasonic were significantly better than that in control group. Conclusion Angelica extract powder is Chinese traditional medicine theory note on synopsis of experience, through experimental study and clinical observation, there is a clear liver spleen, activate blood, spleen wet effect, clinically for the treatment of chronic hepatitis b liver spleen deficiency received very good curative effect. Traditional Chinese medicine ( TCM) angelica extract powder has the obvious protect liver to fall the action of enzymes, improve clinical symptoms, signs, clinical observation curative effect, non-toxic side effects, the treatment of chronic hepatitis B great research value and development prospects.
NETL
NSTL
维普
万方数据