Pattern differentiation and treatment of post-COVID-19 symptoms based on the theory of host-guest interaction
The theory of host-guest interaction,created by WU Youke,a famous physician in the Ming Dynasty,is an understanding of the pathological feature of the late stage of the epidemics,that is,the struggle between the healthy qi(host)and pathogenic qi(guest)being at a stalemate and lingering.Later generations of medical experts have developed and utilized it to guide the treatment of epidemics and miscellaneous diseases due to internal dysfunctions.Resulting in visceral damage,epidemic toxins cause severe diseases with deep location,and often bring on long-term symptoms during convalescence,which will affect the life quality of patients.The pathogenesis of post-COVID-19 symptoms mainly involves impaired healthy qi(impaired qi,impaired yin,impaired body,and impaired spirit)and lingering of residual pathogenic qi(combined with dampness,phlegm,or static blood),which is in accordance with the theory of host-guest interaction.In this case,because of the deficiency of healthy qi which fails to wipe out the pathogenic qi,the latter blends with the blood,leading to multi-systemic symptoms and the risk of developing chronic illnesses.As for the treatment,one should focus on reinforcing healthy qi and sweeping the deep-lying toxins out of the blood in time,and select different treatment methods,such as eliminating dampness,transforming phlegm,draining water retention,clearing heat,and dissipating stasis,according to the specific combined pathogenic factors.In addition,attention should be paid to the pre-vention and treatment of pulmonary interstitial fibrosis,which can be treated with modified Sanjia Powder.This article analyzes the origin and connotation of the theory of host-guest interaction,and attempts to explore the etiology,pathogenesis,diagnosis,and treatment of post-COVID-19 symptoms from the perspective of host-guest interaction,in order to provide reference for the TCM di-agnosis and treatment of post-COVID-19 symptoms.
万方数据
维普
