黄药子随证施量策略在甲状腺功能亢进症治疗中的运用
Application of the strategy of determining dosage according to syndromes in a case of air potato in the treatment of hyperthyroidism
陈钰冰 1谢晓燕 2姬航宇 3连凤梅 3李昀熹 2徐诗晴 1李艳 2杨玲玲2
作者信息
- 1. 广州中医药大学第二临床医学院,广州 510006
- 2. 广东省中医院心理睡眠科,广州 510120
- 3. 中国中医科学院广安门医院,北京 100053
- 折叠
摘要
通过仝小林院士治疗甲状腺功能亢进症验案1则,阐述黄药子"随证施量"策略在甲状腺功能亢进症治疗中的应用:黄药子治疗甲亢的常用剂量为9～15g,患者病势轻重程度决定用药剂量;根据患者服用后"症靶"及"标靶"的改善程度调整用量;毒性药物需配伍减毒药物以减轻其毒性反应,两者用量呈正比关系,并在用药过程中实时监测相关指标变化,及时减量或停药;基于病情,权衡疗效和不良反应之间的关系,精准把控毒性药物在治疗中的"剂量阈".
Abstract
This article elaborates on the application of the"determining dosage according to syndromes"strategy by presenting a case of air potato in the treatment of hyperthyroidism by Academician Tong Xiaolin.The strategy can be generalized as the following four aspects:The common dosage range of air potato for the treatment of hyperthyroidism is 9-15g,and the dosage is determined according to the severity of the disease.Next,the dosage should be adjusted according to the improvement degree of the symptom targets and biochemical indicator targets after a patient takes the medicine.Thirdly,air potato,a herb with toxicity,needs to be paired with toxicity-reducing herbs to reduce its toxicity,and their dosages are proportional to each other,and a real-time monitoring should be in place on the changes in relevant indicators during the treatment,with a timely dosage reduction or stop of the drug if necessary.Lastly,based on the condition of a patient,the relationship should be weighed between the efficacy and toxicity of air potato,and the"dosage threshold"of toxic drugs should be accurately controlled during the treatment.
关键词
随证施量/黄药子/甲状腺功能亢进症Key words
strategy of determining dosage according to syndromes/air potato/hyperthyroidism引用本文复制引用
基金项目
国家自然科学基金资助项目(82305167)
广东省基础与应用基础研究基金项目(2023A1515220036)
广东省中医药局科研项目(20223036)
市校(院)联合资助项目(SL2022A03J0097)
市校(院)联合资助项目(2023A03J0740)
国家自然科学基金(81274000)
国家重点基础研究发展计划(973计划)项目(2010CB530601)
广东省中医药局科研项目(20242028)
国家中医药管理局"中医药循证能力提升项目"(国中医药科技中药便函[2023]24号)
仝小林学术经验传承工作室(中医二院[2022]106号)
出版年
2024
国家科技期刊平台
NSTL
万方数据