FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3085366103> ?p ?o ?g. }

• W3085366103 endingPage "775" @default.
• W3085366103 startingPage "760" @default.
• W3085366103 abstract "Coronavirus disease 2019 (COVID-19) is now pandemic worldwide and has heavily overloaded hospitals in Wuhan City, China during the time between late January and February. We reported the clinical features and therapeutic characteristics of moderate COVID-19 cases in Wuhan that were treated via the integration of traditional Chinese medicine (TCM) and Western medicine. We collected electronic medical record (EMR) data, which included the full clinical profiles of patients, from a designated TCM hospital in Wuhan. The structured data of symptoms and drugs from admission notes were obtained through an information extraction process. Other key clinical entities were also confirmed and normalized to obtain information on the diagnosis, clinical treatments, laboratory tests, and outcomes of the patients. A total of 293 COVID-19 inpatient cases, including 207 moderate and 86 (29.3%) severe cases, were included in our research. Among these cases, 238 were discharged, 31 were transferred, and 24 (all severe cases) died in the hospital. Our COVID-19 cases involved elderly patients with advanced ages (57 years on average) and high comorbidity rates (61%). Our results reconfirmed several well-recognized risk factors, such as age, gender (male), and comorbidities, as well as provided novel laboratory indications (e.g., cholesterol) and TCM-specific phenotype markers (e.g., dull tongue) that were relevant to COVID-19 infections and prognosis. In addition to antiviral/antibiotics and standard supportive therapies, TCM herbal prescriptions incorporating 290 distinct herbs were used in 273 (93%) cases. The cases that received TCM treatment had lower death rates than those that did not receive TCM treatment (17/273 = 6.2% vs. 7/20= 35%, P = 0.0004 for all cases; 17/77= 22% vs. 7/9= 77.7%, P = 0.002 for severe cases). The TCM herbal prescriptions used for the treatment of COVID-19 infections mainly consisted of Pericarpium Citri Reticulatae, Radix Scutellariae, Rhizoma Pinellia, and their combinations, which reflected the practical TCM principles (e.g., clearing heat and dampening phlegm). Lastly, 59% of the patients received treatment, including antiviral, antibiotics, and Chinese patent medicine, before admission. This situation might have some effects on symptoms, such as fever and dry cough. By using EMR data, we described the clinical features and therapeutic characteristics of 293 COVID-19 cases treated via the integration of TCM herbal prescriptions and Western medicine. Clinical manifestations and treatments before admission and in the hospital were investigated. Our results preliminarily showed the potential effectiveness of TCM herbal prescriptions and their regularities in COVID-19 treatment." @default.
• W3085366103 created "2020-09-21" @default.
• W3085366103 creator A5004704117 @default.
• W3085366103 creator A5004926341 @default.
• W3085366103 creator A5006300654 @default.
• W3085366103 creator A5014295535 @default.
• W3085366103 creator A5019993644 @default.
• W3085366103 creator A5028121587 @default.
• W3085366103 creator A5028439973 @default.
• W3085366103 creator A5060692095 @default.
• W3085366103 creator A5060917619 @default.
• W3085366103 creator A5062799256 @default.
• W3085366103 creator A5070601875 @default.
• W3085366103 creator A5073555542 @default.
• W3085366103 creator A5076567651 @default.
• W3085366103 creator A5078037507 @default.
• W3085366103 creator A5085086413 @default.
• W3085366103 date "2020-09-14" @default.
• W3085366103 modified "2023-10-15" @default.
• W3085366103 title "Clinical features and the traditional Chinese medicine therapeutic characteristics of 293 COVID-19 inpatient cases" @default.
• W3085366103 cites W1604300570 @default.
• W3085366103 cites W2062533676 @default.
• W3085366103 cites W2081705741 @default.
• W3085366103 cites W2119904624 @default.
• W3085366103 cites W2170017134 @default.
• W3085366103 cites W2744150173 @default.
• W3085366103 cites W2768488789 @default.
• W3085366103 cites W2793881098 @default.
• W3085366103 cites W2800475770 @default.
• W3085366103 cites W2950213033 @default.
• W3085366103 cites W2972452219 @default.
• W3085366103 cites W2996172866 @default.
• W3085366103 cites W3001118548 @default.
• W3085366103 cites W3002539152 @default.
• W3085366103 cites W3004824173 @default.
• W3085366103 cites W3006718791 @default.
• W3085366103 cites W3008090866 @default.
• W3085366103 cites W3008779998 @default.
• W3085366103 cites W3010350910 @default.
• W3085366103 cites W3011957742 @default.
• W3085366103 cites W3012551864 @default.
• W3085366103 cites W3012655019 @default.
• W3085366103 cites W3013893688 @default.
• W3085366103 cites W3014054650 @default.
• W3085366103 cites W3014502060 @default.
• W3085366103 cites W3024770825 @default.
• W3085366103 cites W3090649274 @default.
• W3085366103 cites W3165656738 @default.
• W3085366103 cites W4205885663 @default.
• W3085366103 cites W4236734353 @default.
• W3085366103 cites W45634013 @default.
• W3085366103 doi "https://doi.org/10.1007/s11684-020-0803-8" @default.
• W3085366103 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7488634" @default.
• W3085366103 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32926319" @default.
• W3085366103 hasPublicationYear "2020" @default.
• W3085366103 type Work @default.
• W3085366103 sameAs 3085366103 @default.
• W3085366103 citedByCount "34" @default.
• W3085366103 countsByYear W30853661032020 @default.
• W3085366103 countsByYear W30853661032021 @default.
• W3085366103 countsByYear W30853661032022 @default.
• W3085366103 countsByYear W30853661032023 @default.
• W3085366103 crossrefType "journal-article" @default.
• W3085366103 hasAuthorship W3085366103A5004704117 @default.
• W3085366103 hasAuthorship W3085366103A5004926341 @default.
• W3085366103 hasAuthorship W3085366103A5006300654 @default.
• W3085366103 hasAuthorship W3085366103A5014295535 @default.
• W3085366103 hasAuthorship W3085366103A5019993644 @default.
• W3085366103 hasAuthorship W3085366103A5028121587 @default.
• W3085366103 hasAuthorship W3085366103A5028439973 @default.
• W3085366103 hasAuthorship W3085366103A5060692095 @default.
• W3085366103 hasAuthorship W3085366103A5060917619 @default.
• W3085366103 hasAuthorship W3085366103A5062799256 @default.
• W3085366103 hasAuthorship W3085366103A5070601875 @default.
• W3085366103 hasAuthorship W3085366103A5073555542 @default.
• W3085366103 hasAuthorship W3085366103A5076567651 @default.
• W3085366103 hasAuthorship W3085366103A5078037507 @default.
• W3085366103 hasAuthorship W3085366103A5085086413 @default.
• W3085366103 hasBestOaLocation W30853661031 @default.
• W3085366103 hasConcept C126322002 @default.
• W3085366103 hasConcept C142724271 @default.
• W3085366103 hasConcept C187212893 @default.
• W3085366103 hasConcept C188947578 @default.
• W3085366103 hasConcept C194828623 @default.
• W3085366103 hasConcept C195910791 @default.
• W3085366103 hasConcept C204787440 @default.
• W3085366103 hasConcept C2426938 @default.
• W3085366103 hasConcept C2779134260 @default.
• W3085366103 hasConcept C2779159551 @default.
• W3085366103 hasConcept C3008058167 @default.
• W3085366103 hasConcept C524204448 @default.
• W3085366103 hasConcept C71924100 @default.
• W3085366103 hasConcept C89623803 @default.
• W3085366103 hasConcept C98274493 @default.
• W3085366103 hasConceptScore W3085366103C126322002 @default.
• W3085366103 hasConceptScore W3085366103C142724271 @default.
• W3085366103 hasConceptScore W3085366103C187212893 @default.
• W3085366103 hasConceptScore W3085366103C188947578 @default.

• next