About: Treatment efficacy analysis of traditional Chinese medicine for novel coronavirus pneumonia (COVID-19): an empirical study from Wuhan, Hubei Province, China

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Treatment efficacy analysis of traditional Chinese medicine for novel coronavirus pneumonia (COVID-19): an empirical study from Wuhan, Hubei Province, China
Creator	Wang, Yitao Bian, Ying Liu, Bowen Luo, Erdan Luo, Hua Zhang, Daiyan Zhao, Keming Zhao, Yonghua
topic	covid:c549ead2d70aea91f4f9e88a27c8e637041255d0#this
source	Medline; PMC
abstract	BACKGROUND: A novel coronavirus was identified in December, 2019 in Wuhan, China, and traditional Chinese medicine (TCM) played an active role in combating the novel coronavirus pneumonia (NCP) caused by this fast-spreading virus COVID-19. Thus, we aimed to explore TCM characteristics of clinical efficacy to NCP, as well as to optimize Qingfei Paidu decoction (QFPDD) and the recommended formulas to NCP by National Health Commission (NHC). METHODS: Chinese medical sciences theory and clinical application of TCM were analyzed. A total of 54 NCP patients were observed in a hospital from Wuhan, whose clinical characteristics and utilization of Chinese Medicines (CMs) were described. Paired t test was used to measure the change of patients’ hemogram during hospitalization period, indicating the effect of CMs. Multiple linear regression analysis was applied to explore the factors affecting the length of hospital stay. Network pharmacology analysis was applied to figure out the performance of NHC-recommended formulas of five disease stages at levels of compounds, targets and pathways. RESULT: The average length of hospital stay was 8.96 days. Patients over 45 stayed 9.79 days in hospital in average, longer than 7.64 days of patients under 45. Comparing the hemograms between admission and discharge of hospital, the number of leukocytes, neutrophil, lymphocyte and platelet increased, while the numbers of erythrocytes, hemoglobin concentration and hematocrit decreased. According to the standard coefficients of regression, the factor affecting the length of stay for the most was CMs in category of invigorating spleen and removing dampness (ISRD), followed by administrating CMs, male, and cough. Thirty-two CMs were screened after deleting duplication from QFPDD and NHC-recommended formulas. Compound quercetin, luteolin, kaempferol, acacetin etc., were all involved in the treatment of various disease stages on the compound level both in generality and individuality. CONCLUSION: TCM has a systemic theoretical understanding on the pathological evolution and a positive clinical efficacy on NCP. The CMs of ISRD improved patients’ recovery, suggesting the importance of regulating intestinal function and keeping microenvironmental balance in TCM treatment of NCP. The active compounds from QFPDD and NHC-recommended formulas contribute to recovery of varied disease progresses during TCM treating NCP.
has issue date	2020-04-15(xsd:dateTime)
bibo:doi	10.1186/s13020-020-00317-x
bibo:pmid	32308732
has license	cc-by
sha1sum (hex)	c549ead2d70aea91f4f9e88a27c8e637041255d0
schema:url	https://doi.org/10.1186/s13020-020-00317-x
resource representing a document's title	Treatment efficacy analysis of traditional Chinese medicine for novel coronavirus pneumonia (COVID-19): an empirical study from Wuhan, Hubei Province, China
has PubMed Central identifier	PMC7156896
has PubMed identifier	32308732
schema:publication	Chin Med
resource representing a document's body	covid:c549ead2d70aea91f4f9e88a27c8e637041255d0#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/c549ead2d70aea91f4f9e88a27c8e637041255d0
is schema:about of	named entity 'China' named entity 'China' named entity 'PLAYED' named entity 'SPREADING' named entity '2019' named entity 'NCP' named entity 'traditional Chinese medicine (TCM)' named entity 'pneumonia' named entity 'virus' named entity 'COVID-19' named entity 'coronavirus' named entity 'coronavirus' named entity 'decoction' named entity 'NCP' named entity 'pneumonia' named entity 'Hubei Province' named entity 'COVID-19' named entity 'NCP' named entity 'NCP' named entity 'TCM' named entity 'China' named entity 'intestinal microbiota' named entity 'clinical study' named entity 'NCP' named entity 'dry cough' named entity 'lung diseases' named entity 'clinical characteristics' named entity 'platelet' named entity 'epidemic disease' named entity 'NCP' named entity 'shortness of breath' named entity 'pharmacological' named entity 'snowfall' named entity 'toxin' named entity 'evolution' named entity 'clinical features' named entity 'TCM' named entity 'virus' named entity 'March 2020' named entity 'NCP' named entity 'Lungs' named entity 'intestine' named entity 'TCM' named entity 'mice' named entity 'NCP' named entity 'NCP' named entity 'TCM' named entity 'treating SARS' named entity 'blood test' named entity 'Wuhan' named entity 'quercetin' named entity 'NCP' named entity 'Poria cocos' named entity 'Organism' named entity 'kidney' named entity 'hemogram' named entity 'climatic' named entity 'kidney' named entity 'symptom' named entity 'NCP' named entity 'infectious diseases' named entity 'sample size' named entity 'viral infections' named entity 'red cell' named entity 'lung diseases' named entity 'state council information office' named entity 'quercetin' named entity 'TCM' named entity 'NCP' named entity 'RBC' named entity 'Chinese medicines' named entity 'stomach'

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