Journal of Traditional Chinese Medicine >
A real-world study of the differences in Traditional Chinese Medicine diagnosis and treatment rules for coronavirus disease 2019 between Northern and Southern China
Received date: 2023-04-22
Accepted date: 2023-08-03
Online published: 2024-07-15
Supported by
National Key Research and Development Plan: Study on TCM Syndrome Regularity and Optimization of Coronavirus Disease 2019 Diagnosis and Treatment Plan(2021YFC1712901)
OBJECTIVE: To explore the differences in Traditional Chinese Medicine (TCM) diagnosis and treatment rules for coronavirus disease 2019 (COVID-19) between Northern and Southern China based on the real-world data from 982 COVID-19 patients.
METHODS: All consecutive cases of COVID-19 admitted to the TCM department of designated COVID-19 hospitals in eight provinces and cities were retrospectively analyzed. Patients were divided into a Northern and a Southern group according to the location of the admitting hospital. The symptoms, syndrome elements, syndrome distribution and herbal treatments were analyzed. The core prescriptions were extracted using the multiscale backbone-based network comparison algorithm (msbNC).
RESULTS: The distribution of syndrome elements showed that dampness was common in Northern and Southern China, wind and heat were more often present in the South, while fire toxin and spleen deficiency were more often encountered in the North. The distribution of syndromes showed that the South was dominated by heat dampness accumulating in the lung (55.69%), while the North was dominated by dampness-toxin stagnating in the lung (44.90%).The results of core prescription mining showed that dispelling dampness, dispersing wind, clearing heat and strengthening spleen were the common treatment methods in Northern and Southern China. For mild cases, Jinyinhua (Flos Lonicerae) and Lianqiao (Fructus Forsythiae Suspensae) were often used in the South to clear heat and relieve exterior symptoms, while Chaihu (Radix Bupleuri Chinensis) and Huangqin (Radix Scutellariae Baicalensis) were often used in the North to relieve muscles by expelling heat. For moderate cases, Chaihu (Radix Bupleuri Chinensis), Qinghao (Herba Artemisiae Annuae), and Shigao (Gypsum Fibrosum) were often used to clear heat of Tri-jiao Channel and stomach in the South, while Fuling (Poria), Chenpi (Pericarpium Citri Reticulatae), and Dangshen (Radix Codonopsis) were often used to invigorate spleen and remove dampness in the North. For severe cases, spleen invigoration and dampness removal as well as relaxing the bowels and discharging heat were often used in the North.
CONCLUSION: There were certain North-South differences in terms of symptoms, syndrome elements and syndrome distribution of COVID-19, as well as differences in core prescriptions during different periods of the disease. The regional differences in the rules of TCM diagnosis and treatment for COVID-19 should be further considered in the process of optimization and revision of relevant treatment guidance.
Rui SU , Youzhu SU , Shuo WANG , Jie FAN , Qingquan LIU , Mifeng LIU . A real-world study of the differences in Traditional Chinese Medicine diagnosis and treatment rules for coronavirus disease 2019 between Northern and Southern China[J]. Journal of Traditional Chinese Medicine, 2024 , 44(4) : 822 -829 . DOI: 10.19852/j.cnki.jtcm.2024.04.004
| 1. | Wang WY, Xie Y, Zhou H, Liu L. Contribution of Traditional Chinese Medicine to the treatment of COVID-19. Phytomedicine 2021; 85: 153279. |
| 2. | Jia W, Gao W. Is Traditional Chinese Medicine useful in the treatment of SARS? Phytother Res 2003; 17: 840-1. |
| 3. | Chen Z, Nakamura T. Statistical evidence for the usefulness of Chinese medicine in the treatment of SARS. Phytother Res 2004; 18: 592-4. |
| 4. | Li JH, Wang RQ, Guo WJ, Li JS. Efficacy and safety of Traditional Chinese Medicine for the treatment of influenza A (H1N1): a Meta-analysis. J Chin Med Assoc 2016; 79: 281-1. |
| 5. | Liu LD, Liu J, Lin LP, Ai XY, Tan XH, Yuan LX. Analysis of TCM syndrome characteristics and pathogenesis of 345 cases of dengue. Zhong Guo Zhong Yi Ji Zheng Za Zhi 2016; 25: 1316-8. |
| 6. | Li X, Zhang X, Ding J, et al. Comparison between Chinese herbal medicines and conventional therapy in the treatment of severe hand, foot, and mouth disease: a randomized controlled trial. Evid Based Complement Alternat Med 2014; 2014: 140764. |
| 7. | World Health Organization. WHO Coronavirus (COVID-19) Dashboard, 2022-12-02, cited 2022-12-05; Available from URL: https://covid19.who.int/. |
| 8. | World Health Organization. 14.9 million excess deaths associated with the COVID-19 pandemic in 2020 and 2021, 2022-05-05. cited 2022-12-05; Available from URL: https://www.who.int/zh/news/item/05-05-2022-14.9-million-excess-deaths-were-associated-with-the-covid-19-pandemic-in-2020-and-2021. |
| 9. | State Administration of Traditional Chinese Medicine. The use rate of Traditional Chinese Medicine in treating COVID-19 in Dalian reached 100%, 2020-07-28; cited 2022-12-05; Available from URL: http://www.satcm.gov.cn/xinxifabu/gedidongtai/2020-08-12/16390.html. |
| 10. | Zhou X, Liu B. Network analysis system for Traditional Chinese Medicine clinical data. 2009 2nd International Conference on Biomedical Engineering and Informatics; 2009 Oct 17-19. Tianjin, China. New York: IEEE, 2009: 1-5. |
| 11. | Du N, Zhou X, Zhang R, Jia C, Yu J, Liu B. Multiscale backbone based network comparison algorithm for effective herbal interaction analysis. 2011 4th International Conference on Biomedical Engineering and Informatics; 2011 Oct 15-17. Shanghai, China. New York: IEEE, 2011: 1757-62. |
| 12. | Xing GL, Liu JJ, Yu ZC, Zhou XZ, Yang Y. Analysis of the rule of Chinese medicine Master ShenBaofan in the treatment of coronary heart disease based on complex network. Hunan Zhong Yi Yao Da Xue Xue Bao 2021; 41: 986-91. |
| 13. | Tong XL, Li XY, Zhao LH, Li WQ, Yang YY, Lin YQ. Explore the TCM prevention and treatment strategies of new coronavirus pneumonia (COVID-19) from the perspective of cold and damp pestilence. Zhong Yi Za Zhi 2020; 61: 465-70, 553. |
| 14. | Wu YK (Ming dynasty). Wen Yi Lun. Beijing: People's Medical Publishing House, 1990: 2-3. |
| 15. | Wang W, Wang Y, Ma S, Li R. Analysis on strategy, participation rate and cure effect of traditional Chinese medicine in treating COVID-19 in 23 provinces (municipalities and autonomous regions). Shi Jie Zhong Yi Yao Za Zhi 2020; 15: 813-8. |
| 16. | Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020; 382: 1708-20. |
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