| Literature DB >> 35369061 |
Po-Chun Hsieh1, You-Chen Chao2,3, Kuo-Wang Tsai4, Chung-Hsien Li2, I-Shiang Tzeng4, Yao-Kuang Wu3,5, Cheng Yen Shih6.
Abstract
Background: Since late 2019, there has been a global COVID-19 pandemic. To preserve medical capacity and decrease adverse health effects, preventing the progression of COVID-19 to severe status is essential. Jing-Si Herbal Tea (JSHT), a novel traditional Chinese medicine formula was developed to treat COVID-19. This study examined the clinical efficacy and safety of JSHT in patients with mild-to-moderate COVID-19.Entities:
Keywords: Jing Si Herbal Tea; complementary and alternative medicine; herbal medicine; mild-to-moderate COVID-19; phytomedicine; traditional Chinese medicine
Year: 2022 PMID: 35369061 PMCID: PMC8967163 DOI: 10.3389/fnut.2022.832321
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
Figure 1Study flow diagram.
Baseline demographics and clinical characteristics upon admission.
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| Number of patients, n | 117 | 143 | |
| Male, | 56 (47.9) | 70 (49.0) | 0.960 |
| Female, | 61 (25.1) | 73 (51.0) | |
| Age, year, mean ± SD | 55.42 ± 15.38 | 53.96 ± 16.97 | 0.472 |
| BMI, kg/m2, mean ± SD | 24.59 ± 3.16 | 25.58 ± 4.66 | 0.056 |
| Smoking status, n (%) | 0.254 | ||
| Never-smoker | 87 (74.4) | 117 (81.8) | |
| Current smoker | 17 (14.5) | 12 (8.4) | |
| Ex-smoker | 13 (11.1) | 14 (9.8) | |
| Hemogram value, mean ± SD | |||
| Leukocyte count, 109/L | 5,257.09 ± 1,758.39 | 5,496.63 ± 2,230.94 | 0.345 |
| Neutrophil count, % | 68.59 ± 11.28 | 70.37 ± 11.31 | 0.208 |
| Lymphocyte count, % | 22.86 ± 10.22 | 20.85 ± 9.62 | 0.105 |
| Hemoglobin, g/dL | 13.49 ± 1.86 | 13.62 ± 2.13 | 0.597 |
| Platelet count, 103 μL | 198.09 ± 64.06 | 194.66 ± 77.65 | 0.702 |
| Serum biochemistry profile, mean ± SD | |||
| AST, U/L | 33.15 ± 20.82 | 37.84 ± 28.10 | 0.165 |
| ALT, U/L | 33.78 ± 33.07 | 32.15 ± 31.08 | 0.690 |
| Total bilirubin, mg/dL | 0.58 ± 0.21 | 0.62 ± 0.41 | 0.395 |
| BUN, mg/dL | 15.52 ± 22.06 | 14.90 ± 10.62 | 0.772 |
| Creatinine, mg/dL | 0.83 ± 0.41 | 1.14 ± 2.08 | 0.088 |
| D-dimer | 755.36 ± 880.67 | 1,005.28 ± 1,330.51 | 0.132 |
| Ferritin | 570.56 ± 695.06 | 682.13 ± 1,296.09 | 0.514 |
| Charlson comorbidity index, mean ± SD | 1.75 ± 1.73 | 1.75 ± 1.93 | 0.987 |
| Key clinical paremeters, mean ± SD | |||
| SpO2, % | 95.86 ± 1.86 | 95.96 ± 2.43 | 0.323 |
| FiO2, % | 23.28 ± 11.03 | 22.72 ± 9.63 | 0.659 |
| Neutrophil-to-lymphocyte ratio | 4.52 ± 5.73 | 4.93 ± 4.63 | 0.152 |
| RT-PCR CT value | 21.21 ± 6.10 | 23.38 ± 6.62 | 0.006* |
| CRP, mg/dL | 4.33 ± 5.00 | 3.89 ± 4.33 | 0.450 |
| Brixia score | 2.03 ± 2.22 | 1.27 ± 1.61 | 0.003* |
ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; BUN, blood urea nitrogen; CRP, c-reactive protein; FiO.
Figure 2Key parameters before (D1) and after (D8) the study. (A) SpO2; (B) FiO2; (C) NLR; (D) CT value; (E) CRP; (F) Brixia score. BMI, body mass index; CRP, c-reactive protein; CT value, Reverse Transcription Polymerase Chain Reaction cycle threshold value; FiO2, fraction of inspired oxygen; JSHT, Jing Si Herbal Tea; NLR, Neutrophil-to-lymphocyte ratio; SpO2, peripheral oxygen saturation. *p < 0.05, **p < 0.01, ****p < 0.0001.
Figure 3Subgroup analysis of the effects of JSHT on differences in the CT value, CRP level, and Brixia score. CRP, c-reactive protein; CT value, Reverse Transcription Polymerase Chain Reaction cycle threshold value. *p < 0.05, **p < 0.01.
Clinical outcomes after the study.
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| Critical status, | |||||
| Intubation | 2 (1.7) | 5 (3.5) | 0.49 | 0.6102 | 0.11 to 2.12 |
| MICU admission | 4 (3.4) | 7 (4.9) | 0.70 | 0.7805 | 0.22 to 2.18 |
| Clinical outcome, | |||||
| Discharge | 117 (100) | 139 (97.2) | 1.03 | 0.1879 | 0.99 to 1.04 |
| Mortality | 0 (0) | 4 (2.8) | 0.00 | 0.1879 | 0.00 to 1.16 |
JSHT, Jing Si Herbal Tea; MICU, Medisave Intensive Care Unit.