Traditional Chinese Medicine Formulation Therapy in the Treatment of Coronavirus Disease 2019 (COVID-19)

2020 ◽  
Vol 48 (07) ◽  
pp. 1523-1538
Author(s):  
Jia Shi ◽  
Yunfei Lu ◽  
Yuan Zhang ◽  
Lu Xia ◽  
Chen Ye ◽  
...  
Keyword(s):  
Risk Factor ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Medical Records ◽  
Early Stage ◽  
Logistic Models ◽  
Oral Swab ◽  
Blood Samples ◽  
Traditional Chinese Medicine Formulation ◽  
Negative Conversion

This study aimed to investigate the efficacy of Traditional Chinese Medicine (TCM) decoction with different intervention timepoints in the treatment of coronavirus disease 2019 (COVID-19) patients. We retrospectively collected the medical records and evaluated the outcomes of COVID-19 patients that received TCM decoction treatment at different timepoints. A total of 234 COVID-19 patients were included in this study. Patients who received TCM decoction therapy within 3 days or 7 days after admission could achieve shorter hospitalization days and disease periods compared to those who received TCM decoction [Formula: see text] 7 days after admission (all [Formula: see text]). Patients who received TCM decoction therapy within 3 days had significantly fewer days to negative SARS-CoV-2 from nasopharyngeal/oral swab and days to negative SARS-CoV-2 from urine/stool/blood samples compared to those received TCM decoction [Formula: see text] days after admission (all [Formula: see text]). Patients who received TCM decoction therapy on the 3rd to 7th day after admission had a faster achievement of negative SARS-CoV-2 from urine/stool/blood samples compared to those who received TCM decoction [Formula: see text] days after admission ([Formula: see text]). Logistic models revealed that more days from TCM decoction to admission [Formula: see text] days might be a risk factor for long hospitalization days, disease period, and slower negative-conversion of SARS-CoV-2 (all [Formula: see text]). Conclusively, our results suggest that TCM decoction therapy should be considered at the early stage of COVID-19 patients.

Transformer + GAN based Traditional Chinese Medicine inpatient prescription recommendation (Preprint)

2021 ◽  
Author(s):  
Hong Zhang
Keyword(s):  
Decision Making ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Electronic Medical Records ◽  
Clinical Diagnosis ◽  
Medical Records ◽  
Training Data ◽  
Diagnosis And Treatment ◽  
Test Results ◽  
Treatment Scheme

BACKGROUND Clinical diagnosis and treatment decision making support is at the core of medical artificial intelligent research, in which Traditional Chinese Medicine (TCM) decision making is an important part. Traditional Chinese Medicine is a traditional medical system originated from China, of which the main clinical model is to conduct individualized diagnosis and treatment by relying on the four-diagnosis information. One of the key tasks of the TCM artificial intelligence research is to develop techniques and methods of clinical prescription decision making which takes all the relevant information of a patient as input, and produces a diagnosis and treatment scheme as output. Given the complexity of TCM clinical diagnosis and treatment schemes, decision making support of clinical diagnosis and treatment schemes remains as a research challenge for lacking of an effective solution. Fortunately, as the volume of the massive clinical data in the form of electronic medical records increases rapidly, it becomes possible for the computer to produce personalized diagnosis and treatment scheme recommendation through machine learning on the basis of the clinical big data. OBJECTIVE The objective of this research is to develop a real-time diagnosis and treatment scheme recommendation model for TCM inpatients. This is accomplished by using historical clinical medical records as training data to train a Transformer network. Furthermore, to alleviate the issue of overfitting, a Generative Adversarial Network is used to generate noise-added samples from the original training data. These noise-added samples along with the original samples form the complete train data set. METHODS valid information, such as the patient’s current sickness situation, medicines taken, nursing care given, vital signs, examinations and test results, is extracted from the patient’s electronic medical records, then the obtained information is sorted chronically, to produce a sequence of data of each patient. These time-sequence data is then used as input to the Transformer network. The output of the network would be the prescription information a physician would give. Overfitting is a common problem in machine learning, and becomes especially server when the network is complex with insufficient training data. In this research, a Generative Adversarial Network, is used to double the number of training samples by producing noise-added samples from the original samples. This, to a great extent, lessens the overfitting problem. RESULTS A total of 21,295 copies of inpatient electronic medical records from Guang’anmen traditional Chinese medicine hospital was used in this research. These records were created between January 2017 and December 2018, covering a total of 6352 kinds of medicines. These medicines were sorted into 829 types of first category medicines based on the class relationships among medicines. As shown by the test results, the performance of a fully trained Transformer model can have an average precision rate of 80.58%，and an average recall rate of 68.49%. CONCLUSIONS As shown by the preliminary test results, the Transformer-based TCM prescription recommendation model outperforms the existing conventional methods. The extra training samples generated by the GAN network helps to overcome the overfitting issue, leading a further improved recall rate and precision rate.

Efficacy of Shitei-To, a Traditional Chinese Medicine Formulation, Against Convulsions in Mice

1999 ◽  
Vol 27 (01) ◽  
pp. 107-115 ◽  
Author(s):  
Eiko Minamil ◽  
Hiroki Shibata ◽  
Yoshiki Nunoura ◽  
Masahiro Nomoto ◽  
Takeo Fukuda
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
The Other ◽  
Repeated Treatment ◽  
Maximal Electroshock ◽  
Chemical Agents ◽  
Clonic Convulsions ◽  
Traditional Chinese Medicine Formulation ◽  
Electroshock Seizures ◽  
Anticonvulsant Effects

The anticonvulsant effects of Shitei- To and its components on maximal electroshock seizures and chemical convulsions were examined. Shitei-To significantly prolonged the latency to bicuculline (2.0 mg/kg, s.c.)-induced clonic convulsions. Repeated treatment with Shitei-To also significantly prolonged the latency to strychnine (1.5 mg/kg, i.p.)- and pentylenetetrazol (90 mg/kg, i.p.)-induced clonic convulsions. On the other hand, Shitei-To had no effect on maximal electroshock seizures. Of the components of Shitei-To, Shitei had almost the same effect as Shitei-To against the clonic convulsions induced by the three chemical agents tested. These findings suggest that Shitei-To has anticonvulsant effects.

scholarly journals Functions of Traditional Chinese Medicine Combined with Recombinant Human Interferon α2b in Cervical Intraepithelial Neoplasias Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wei Ding ◽  
Xiaoyan Li ◽  
Baojun Ji ◽  
Zhenna Wang
Keyword(s):  
Cervical Cancer ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Cancer Patients ◽  
Inflammatory Factors ◽  
Human Interferon ◽  
Control Group ◽  
Study Group ◽  
Interferon Α2b ◽  
Negative Conversion

Cervical cancer is a common malignant neoplasm in women, and its incidence is increasing year by year. This study explored the effects of traditional Chinese medicine combined with recombinant human interferon α2b in cervical cancer patients. 178 cervical intraepithelial neoplasias (CIN) combined with high-risk HPV-positive patients from June 2017 to August 2020 were divided into the study group (n = 89 cases) and the control group (n = 89 cases) by the random number table method. Patients in the control group were treated with recombinant human interferon α2b, and the study group was treated with traditional Chinese medicine (TCM) on the basis of the control group. After treatment, the recurrence rate in the study group was significantly decreased while the human papillomavirus (HPV) negative conversion rate was significantly increased. 3 months after treatment, the TCM symptom scores in the study group were lower than in the control group. Moreover, serum levels of inflammatory factors decreased in both groups, and the decrease was more significant in the study group. After treatment, the ultrasound parameters were significantly decreased in the study group than in the control group. In conclusion, traditional Chinese medicine combined with recombinant human interferon α2b in cervical cancer patients could effectively improve the negative conversion rate of HPV infection, the level of inflammatory factors, reduce the degree of cervical erosion, and enhance the immunity of patients with high safety and significantly improve the quality of life.

scholarly journals Traditional Chinese Medicine Reduces the Incidence of Chemotherapy-Induced Stroke: A Five-Year Nationwide Population-Based Cohort Study From Taiwan

2021 ◽  
Vol 12 ◽  
Author(s):  
Chien-Chen Huang ◽  
Yu-Cih Yang ◽  
Iona MacDonald ◽  
Ching-Yuan Lai ◽  
Cheng-Hao Tu ◽  
...  
Keyword(s):  
Risk Factor ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Large Scale ◽  
Population Based ◽  
Incidence Rates ◽  
First Year ◽  
Subdistribution Hazard ◽  
Stroke Incidence ◽  
Kaplan Meier

Background: Chemotherapy is suspected to be a risk factor for stroke in patients with cancer, athough the results from large-scale studies are controversial. Few strategies are available for reducing the stroke-related risks.Methods: We analyzed stroke incidence rates in Taiwan’s Longitudinal Health Insurance database 2000 (LHID2000) for patients aged ≥20 years with newly-diagnosed cancer between Jan 1, 2000 and Dec 31, 2006, who did or did not receive chemotherapy. Moreover, we compared stroke incidence rates among chemotherapy users who did or did not use traditional Chinese medicine. All study participants were followed-up for 5 years or until they had a stroke.Results: In adjusted Kaplan-Meier analysis, the incidence of stroke was higher within the first year of cancer diagnosis among chemotherapy recipients compared with those who did not receive chemotherapy (31.1 vs. 9.75; adjusted subdistribution hazard ratio [sHR] 2.21; 95% confidence interval [CI], 1.52–3.20; p < 0.001). This between-group difference persisted at 4 years of follow-up (13.6 vs. 5.42; adjusted sHR 1.94; 95% CI, 1.53–2.46; p < 0.001). Similarly, the 5-year incidence rate of stroke was significantly lower among chemotherapy recipients using TCM vs. non-TCM users (0.19 vs. 0.46; adjusted sHR 0.45; 95% CI, 0.26–0.79; p < 0.001), as was the mortality rate (adjusted sHR 0.55; 95% CI, 0.44–0.68; p < 0.001).Conclusion: These Taiwanese data suggest that chemotherapy is a risk factor for stroke and that the use of TCM can significantly mitigate this risk. TCM also appears to reduce the mortality risk associated with chemotherapy.

scholarly journals Correlation between Palpitations below the Heart in Traditional Chinese Medicine and Autonomic Nerve Function Based on Heart Rate Variability: A Case-Control Study

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Chengcheng Song ◽  
Kelong Chen ◽  
Ziqian Wu ◽  
Wei Liu ◽  
Ling Chen ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Logistic Regression ◽  
Risk Factor ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Autonomic Nerve ◽  
Nerve Function ◽  
Spearman Correlation ◽  
Autonomic Nerve Function

Objective. To explore the autonomic nerve rhythm and the correlation between palpitations below the heart (PBTH) and autonomic nerve function in patients with PBTH based on heart rate variability (HRV). Methods. The outpatients or ward patients of Wenzhou Hospital of Traditional Chinese Medicine were collected and divided into two groups: the PBTH group and the normal group. The HRV of each group was detected. Single-factor statistical methods, Spearman correlation analysis, and logistic regression were used to describe and analyze the rhythm and characteristics of autonomic nerves in patients with PBTH and the correlation between PBTH and autonomic nerve function. Results. (1) In the comparison of HRV in different time periods in the same group, the SDNN, RMSSD, pNN50, TP, and HF in the PBTH group at night were significantly higher than those in the daytime ( P < 0.01 ), while the LF/HF ratio was significantly lower than that in the daytime ( P < 0.01 ). (2) In the comparison of HRV between the two groups in the same time period, the RMSSD and pNN50 of the PBTH group during the daytime period were significantly higher than those of the normal control group ( P < 0.05 ), and the LF/HF was significantly lower than that of the normal group ( P < 0.05 ). (3) In the Spearman correlation analysis, PBTH was significantly correlated with RMSSD, pNN50, and LF/HF ratio in the daytime period, with correlation coefficients of 0.424, 0.462, and −0.524, respectively ( P < 0.05 ). (4) Logistic regression analysis showed that the decrease of LF/HF ratio during the daytime period was an independent risk factor for PBTH in TCM (OR = 0.474, 95% CI: 0.230–0.977, P < 0.05 ). Conclusions. The changes in parasympathetic nerve function in patients with PBTH have a circadian rhythm, which is characterized by increased activity during the nighttime. At the same time, the autonomic nerve activity of people with PBTH during the daytime is unbalanced, and the decrease of LF/HF ratio during the day is an independent high risk factor for PBTH.

Sign in / Sign up

Export Citation Format

Share Document