Journal of Traditional Chinese Medicine ›› 2024, Vol. 44 ›› Issue (4): 822-829.DOI: 10.19852/j.cnki.jtcm.2024.04.004
• Original articles • Previous Articles Next Articles
SU Rui, SU Youzhu, WANG Shuo, FAN Jie, LIU Qingquan(), LIU Mifeng(
)
Received:
2023-04-22
Accepted:
2023-08-03
Online:
2024-08-15
Published:
2024-07-15
Contact:
Prof. LIU Qingquan, Department of infectious diseases, Capital Medical University Beijing Hospital of Traditional Chinese Medicine, Beijing 100010, China. Supported by:
SU Rui, SU Youzhu, WANG Shuo, FAN Jie, LIU Qingquan, LIU Mifeng. 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.
Item | Total cases (n = 982) | Northern group (n = 211) | Southern group (n = 771) | P value |
---|---|---|---|---|
Age (years) | 41.30±16.15 | 46.64±17.77 | 39.74±15.31a | <0.001 |
Female [n (%)] | 533 (54.28) | 97 (45.98) | 436 (56.55) a | <0.001 |
Male [n (%)] | 449 (45.73) | 114 (54.02) | 335 (43.45)a | <0.001 |
BMI (kg/m2) | 23.63±3.28 | 23.92±3.69 | 23.55±3.04 | 0.161 |
Smokers [n (%)] | 81 (8.25) | 22 (10.43) | 59 (7.65) | 0.194 |
14-day contact history [n (%)] | 242 (24.64) | 131 (62.09) | 111 (14.40)a | <0.001 |
Overseas Travel [n (%)] | 455 (46.33) | 17 (8.06) | 438 (56.81)a | <0.001 |
Asymptomatic [n (%)] | 111 (11.30) | 62 (29.38) | 49 (6.36)a | <0.001 |
Mild [n (%)] | 112 (11.41) | 11 (5.21) | 101 (13.10)a | <0.001 |
Moderate [n (%)] | 716 (72.91) | 118 (55.92) | 598 (77.56)a | <0.001 |
Serious [n (%)] | 40 (4.07) | 17 (8.06) | 23 (2.98)a | <0.001 |
Critical [n (%)] | 3 (0.31) | 3 (1.42) | 0 (0.0)a | <0.001 |
Diabetes [n (%)] | 48 (4.89) | 21 (1.00) | 27 (3.50)a | <0.001 |
Chronic lung disease [n (%)] | 28 (2.85) | 8 (3.79) | 20 (2.59) | 0.295 |
Cardiovascular disease (including high blood pressure) [n (%)] | 95 (9.67) | 46 (21.80) | 49 (6.46)a | <0.001 |
Digestive system disease [n (%)] | 8 (0.81) | 0 (0.0) | 8 (1.04) | 0.137 |
Nervous system disease [n (%)] | 5 (0.51) | 2 (0.95) | 3 (0.39) | 0.312 |
Chronic liver disease [n (%)] | 16 (1.63) | 2 (0.95) | 14 (1.86) | 0.242 |
Fever [n (%)] | 122 (12.42) | 31 (14.69) | 91 (11.80) | 0.260 |
<37.4 ℃[n (%)] | 860 (87.58) | 184 (87.20) | 676 (87.68) | 0.853 |
37.4 ℃-38.0 ℃ [n (%)] | 84 (8.56) | 23 (10.90) | 65 (8.43) | 0.266 |
>38 ℃ [n (%)] | 38 (3.87) | 10 (4.74) | 28 (3.63) | 0.460 |
Cough [n (%)] | 335 (34.11) | 101 (47.87) | 234 (30.35)a | <0.001 |
Fatigue [n (%)] | 164 (16.70) | 32 (15.17) | 132 (17.12) | 0.500 |
Myalgia [n (%)] | 32 (3.26) | 5 (0.24) | 27 (3.50) | 0.412 |
Irritability [n (%)] | 33 (3.36) | 4 (1.90) | 29 (3.76) | 0.183 |
Diarrhea [n (%)] | 37 (3.77) | 6 (2.84) | 31 (4.02) | 0.426 |
Runny nose [n (%)] | 36 (3.67) | 9 (4.27) | 27 (3.50) | 0.601 |
Expectoration [n (%)] | 216 (22.00) | 59 (27.96) | 157 (20.36)b | 0.018 |
Sore throat [n (%)] | 81 (8.25) | 12 (5.69) | 69 (8.95) | 0.127 |
Dyspnea [n (%)] | 95 (9.67) | 41 (19.43) | 54 (7.00)a | <0.001 |
Abdominal pain [n (%)] | 31 (3.16) | 6 (2.84) | 25 (3.24) | 0.769 |
Dry mouth [n (%)] | 158 (16.09) | 44 (20.85) | 114 (14.79)b | 0.034 |
Days from onset to admission (d) | 4.64±5.88 | 4.72±4.58 | 4.62±6.19 | 0.062 |
Hospital length of stay (d) | 16.98±8.48 | 17.31±6.63 | 16.90±8.90c | 0.014 |
Course of disease (d) | 20.70±10.19 | 21.26±7.94 | 20.55±10.69 | 0.083 |
ICU admission [n (%)] | 33(3.36) | 22(10.43) | 11(1.43)a | <0.001 |
ICU length of stay (d) | 15.57±8.35 | 13.91±6.58 | 33.00±1.41b | 0.022 |
Viral shedding duration (d) | 12.12±7.74 | 12.38±5.82 | 12.04±8.25 | 0.064 |
Duration of antibiotic treatment (d) | 9.91±5.12 | 6.89±4.30 | 10.16±5.11b | 0.005 |
Duration of corticosteroid treatment (d) | 6.40±5.03 | 7.48±7.32 | 6.00±3.86 | 0.609 |
Duration of oxygenation by nasal cannula or face mask (d) | 2.12±1.69 | 2.05±2.01 | 2.13±1.63 | 0.061 |
Cases of noninvasive mechanical ventilation [n (%)] | 9(0.92) | 3(1.42) | 6(0.78) | 0.385 |
Cases of traumatic mechanical ventilation [n (%)] | 6(0.61) | 3(1.42) | 3(0.39) | <0.088 |
ECMO [n (%)] | 2(0.20) | 2(0.95) | 0(0.0)a | 0.007 |
Admission days of first TCM use (d) | 2.77±4.18 | 1.78±2.27 | 2.63±1.53b | 0.015 |
Table 1 Clinical features and treatment of the two cohorts
Item | Total cases (n = 982) | Northern group (n = 211) | Southern group (n = 771) | P value |
---|---|---|---|---|
Age (years) | 41.30±16.15 | 46.64±17.77 | 39.74±15.31a | <0.001 |
Female [n (%)] | 533 (54.28) | 97 (45.98) | 436 (56.55) a | <0.001 |
Male [n (%)] | 449 (45.73) | 114 (54.02) | 335 (43.45)a | <0.001 |
BMI (kg/m2) | 23.63±3.28 | 23.92±3.69 | 23.55±3.04 | 0.161 |
Smokers [n (%)] | 81 (8.25) | 22 (10.43) | 59 (7.65) | 0.194 |
14-day contact history [n (%)] | 242 (24.64) | 131 (62.09) | 111 (14.40)a | <0.001 |
Overseas Travel [n (%)] | 455 (46.33) | 17 (8.06) | 438 (56.81)a | <0.001 |
Asymptomatic [n (%)] | 111 (11.30) | 62 (29.38) | 49 (6.36)a | <0.001 |
Mild [n (%)] | 112 (11.41) | 11 (5.21) | 101 (13.10)a | <0.001 |
Moderate [n (%)] | 716 (72.91) | 118 (55.92) | 598 (77.56)a | <0.001 |
Serious [n (%)] | 40 (4.07) | 17 (8.06) | 23 (2.98)a | <0.001 |
Critical [n (%)] | 3 (0.31) | 3 (1.42) | 0 (0.0)a | <0.001 |
Diabetes [n (%)] | 48 (4.89) | 21 (1.00) | 27 (3.50)a | <0.001 |
Chronic lung disease [n (%)] | 28 (2.85) | 8 (3.79) | 20 (2.59) | 0.295 |
Cardiovascular disease (including high blood pressure) [n (%)] | 95 (9.67) | 46 (21.80) | 49 (6.46)a | <0.001 |
Digestive system disease [n (%)] | 8 (0.81) | 0 (0.0) | 8 (1.04) | 0.137 |
Nervous system disease [n (%)] | 5 (0.51) | 2 (0.95) | 3 (0.39) | 0.312 |
Chronic liver disease [n (%)] | 16 (1.63) | 2 (0.95) | 14 (1.86) | 0.242 |
Fever [n (%)] | 122 (12.42) | 31 (14.69) | 91 (11.80) | 0.260 |
<37.4 ℃[n (%)] | 860 (87.58) | 184 (87.20) | 676 (87.68) | 0.853 |
37.4 ℃-38.0 ℃ [n (%)] | 84 (8.56) | 23 (10.90) | 65 (8.43) | 0.266 |
>38 ℃ [n (%)] | 38 (3.87) | 10 (4.74) | 28 (3.63) | 0.460 |
Cough [n (%)] | 335 (34.11) | 101 (47.87) | 234 (30.35)a | <0.001 |
Fatigue [n (%)] | 164 (16.70) | 32 (15.17) | 132 (17.12) | 0.500 |
Myalgia [n (%)] | 32 (3.26) | 5 (0.24) | 27 (3.50) | 0.412 |
Irritability [n (%)] | 33 (3.36) | 4 (1.90) | 29 (3.76) | 0.183 |
Diarrhea [n (%)] | 37 (3.77) | 6 (2.84) | 31 (4.02) | 0.426 |
Runny nose [n (%)] | 36 (3.67) | 9 (4.27) | 27 (3.50) | 0.601 |
Expectoration [n (%)] | 216 (22.00) | 59 (27.96) | 157 (20.36)b | 0.018 |
Sore throat [n (%)] | 81 (8.25) | 12 (5.69) | 69 (8.95) | 0.127 |
Dyspnea [n (%)] | 95 (9.67) | 41 (19.43) | 54 (7.00)a | <0.001 |
Abdominal pain [n (%)] | 31 (3.16) | 6 (2.84) | 25 (3.24) | 0.769 |
Dry mouth [n (%)] | 158 (16.09) | 44 (20.85) | 114 (14.79)b | 0.034 |
Days from onset to admission (d) | 4.64±5.88 | 4.72±4.58 | 4.62±6.19 | 0.062 |
Hospital length of stay (d) | 16.98±8.48 | 17.31±6.63 | 16.90±8.90c | 0.014 |
Course of disease (d) | 20.70±10.19 | 21.26±7.94 | 20.55±10.69 | 0.083 |
ICU admission [n (%)] | 33(3.36) | 22(10.43) | 11(1.43)a | <0.001 |
ICU length of stay (d) | 15.57±8.35 | 13.91±6.58 | 33.00±1.41b | 0.022 |
Viral shedding duration (d) | 12.12±7.74 | 12.38±5.82 | 12.04±8.25 | 0.064 |
Duration of antibiotic treatment (d) | 9.91±5.12 | 6.89±4.30 | 10.16±5.11b | 0.005 |
Duration of corticosteroid treatment (d) | 6.40±5.03 | 7.48±7.32 | 6.00±3.86 | 0.609 |
Duration of oxygenation by nasal cannula or face mask (d) | 2.12±1.69 | 2.05±2.01 | 2.13±1.63 | 0.061 |
Cases of noninvasive mechanical ventilation [n (%)] | 9(0.92) | 3(1.42) | 6(0.78) | 0.385 |
Cases of traumatic mechanical ventilation [n (%)] | 6(0.61) | 3(1.42) | 3(0.39) | <0.088 |
ECMO [n (%)] | 2(0.20) | 2(0.95) | 0(0.0)a | 0.007 |
Admission days of first TCM use (d) | 2.77±4.18 | 1.78±2.27 | 2.63±1.53b | 0.015 |
Northern group (n = 211) | Southern group (n = 771) | ||||
---|---|---|---|---|---|
Syndrome elements | Frequency | Proportion (%) | Syndrome elements | Frequency | Proportion (%) |
Toxin | 86 | 40.76 | Heat | 620 | 80.42 |
Dampness | 74 | 35.07 | Wind | 349 | 45.27 |
Lung | 68 | 32.23 | Lung | 81 | 10.51 |
Spleen | 50 | 23.70 | Dampness | 65 | 8.43 |
Deficiency | 39 | 18.48 | Phlegm | 48 | 6.23 |
Heat | 9 | 4.27 | Toxin | 26 | 0.37 |
Wind | 7 | 3.12 | Cold | 13 | 1.69 |
Phlegm | 7 | 3.12 | Fire | 11 | 1.43 |
Exterior | 4 | 1.90 | Spleen | 4 | 0.52 |
Blood stasis | 4 | 1.90 | Deficiency | 3 | 0.39 |
Table 2 Frequency distribution of syndrome elements in the Northern and Southern groups
Northern group (n = 211) | Southern group (n = 771) | ||||
---|---|---|---|---|---|
Syndrome elements | Frequency | Proportion (%) | Syndrome elements | Frequency | Proportion (%) |
Toxin | 86 | 40.76 | Heat | 620 | 80.42 |
Dampness | 74 | 35.07 | Wind | 349 | 45.27 |
Lung | 68 | 32.23 | Lung | 81 | 10.51 |
Spleen | 50 | 23.70 | Dampness | 65 | 8.43 |
Deficiency | 39 | 18.48 | Phlegm | 48 | 6.23 |
Heat | 9 | 4.27 | Toxin | 26 | 0.37 |
Wind | 7 | 3.12 | Cold | 13 | 1.69 |
Phlegm | 7 | 3.12 | Fire | 11 | 1.43 |
Exterior | 4 | 1.90 | Spleen | 4 | 0.52 |
Blood stasis | 4 | 1.90 | Deficiency | 3 | 0.39 |
Northern group (n = 211) | Southern group (n = 771) | ||||
---|---|---|---|---|---|
Patterns | Frequency | Proportion (%) | Patterns | Frequency | Proportion (%) |
Dampness-toxin stagnating in the lung | 94 | 44.55 | Heat dampness accumulating in the lung | 429 | 55.65 |
Deficiency of lung and spleen Qi | 38 | 18.01 | Dampness-toxin stagnating in the lung | 123 | 15.96 |
Heat dampness accumulating in the lung | 38 | 18.01 | Wind heat attacking the lung | 41 | 5.32 |
Qi and Yin deficiency | 21 | 9.52 | Epidemic toxin blocking the lung | 31 | 4.02 |
Epidemic toxin blocking the lung | 19 | 9.00 | Cold dampness stagnating in the lung | 14 | 1.82 |
Cold dampness obstructing the lung | 5 | 2.37 | Deficiency of lung and spleen Qi | 14 | 1.82 |
Table 3 The top 6 frequencies of syndrome distribution in the Northern and Southern groups
Northern group (n = 211) | Southern group (n = 771) | ||||
---|---|---|---|---|---|
Patterns | Frequency | Proportion (%) | Patterns | Frequency | Proportion (%) |
Dampness-toxin stagnating in the lung | 94 | 44.55 | Heat dampness accumulating in the lung | 429 | 55.65 |
Deficiency of lung and spleen Qi | 38 | 18.01 | Dampness-toxin stagnating in the lung | 123 | 15.96 |
Heat dampness accumulating in the lung | 38 | 18.01 | Wind heat attacking the lung | 41 | 5.32 |
Qi and Yin deficiency | 21 | 9.52 | Epidemic toxin blocking the lung | 31 | 4.02 |
Epidemic toxin blocking the lung | 19 | 9.00 | Cold dampness stagnating in the lung | 14 | 1.82 |
Cold dampness obstructing the lung | 5 | 2.37 | Deficiency of lung and spleen Qi | 14 | 1.82 |
Northern group (n = 211) | Southern group (n = 771) | ||||
---|---|---|---|---|---|
Herbal | Frequency | Proportion (%) | Herbal | Frequency | Proportion (%) |
Chaihu (Radix Bupleuri Chinensis) | 122 | 57.82 | Fuling (Poria) | 187 | 24.25 |
Huangqin (Radix Scutellariae Baicalensis) | 121 | 57.35 | Lianqiao (Fructus Forsythiae Suspensae) | 174 | 22.56 |
Gancao (Radix Glycyrrhizae) | 120 | 56.87 | Gancao (Radix Glycyrrhizae) | 168 | 21.79 |
Cangzhu (Rhizoma Atractylodis Lanceae) | 110 | 52.13 | Chenpi (Pericarpium Citri Reticulatae) | 165 | 21.40 |
Huoxiang (Herba Agastaches Rugosa) | 107 | 50.71 | Jinyinhua (Flos Lonicerae) | 131 | 16.99 |
Jinyinhua (Flos Lonicerae) | 100 | 47.39 | Huangqi (Radix Astragali Mongolici) | 120 | 15.56 |
Fuling (Poria) | 100 | 47.39 | Huangqin (Radix Scutellariae Baicalensis) | 119 | 15.43 |
Chenpi (Pericarpium Citri Reticulatae) | 94 | 44.55 | Baizhu (Rhizoma Atractylodis Macrocephalae) | 112 | 14.53 |
Baizhu (Rhizoma Atractylodis Macrocephalae) | 89 | 42.18 | Dangshen (Radix Codonopsis) | 92 | 11.94 |
Kuxingren (Semen Armeniacae Amarum) | 85 | 40.28 | Dahuang (Radix Et Rhizoma Rhei Palmati) | 87 | 11.28 |
Table 4 Frequency of use of Chinese Herbal Medicine (top 10) in the Northern and Southern groups
Northern group (n = 211) | Southern group (n = 771) | ||||
---|---|---|---|---|---|
Herbal | Frequency | Proportion (%) | Herbal | Frequency | Proportion (%) |
Chaihu (Radix Bupleuri Chinensis) | 122 | 57.82 | Fuling (Poria) | 187 | 24.25 |
Huangqin (Radix Scutellariae Baicalensis) | 121 | 57.35 | Lianqiao (Fructus Forsythiae Suspensae) | 174 | 22.56 |
Gancao (Radix Glycyrrhizae) | 120 | 56.87 | Gancao (Radix Glycyrrhizae) | 168 | 21.79 |
Cangzhu (Rhizoma Atractylodis Lanceae) | 110 | 52.13 | Chenpi (Pericarpium Citri Reticulatae) | 165 | 21.40 |
Huoxiang (Herba Agastaches Rugosa) | 107 | 50.71 | Jinyinhua (Flos Lonicerae) | 131 | 16.99 |
Jinyinhua (Flos Lonicerae) | 100 | 47.39 | Huangqi (Radix Astragali Mongolici) | 120 | 15.56 |
Fuling (Poria) | 100 | 47.39 | Huangqin (Radix Scutellariae Baicalensis) | 119 | 15.43 |
Chenpi (Pericarpium Citri Reticulatae) | 94 | 44.55 | Baizhu (Rhizoma Atractylodis Macrocephalae) | 112 | 14.53 |
Baizhu (Rhizoma Atractylodis Macrocephalae) | 89 | 42.18 | Dangshen (Radix Codonopsis) | 92 | 11.94 |
Kuxingren (Semen Armeniacae Amarum) | 85 | 40.28 | Dahuang (Radix Et Rhizoma Rhei Palmati) | 87 | 11.28 |
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.
PMID |
3. |
Chen Z, Nakamura T. Statistical evidence for the usefulness of Chinese medicine in the treatment of SARS. Phytother Res 2004; 18: 592-4.
PMID |
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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