N
Ning Tang
Researcher at Huazhong University of Science and Technology
Publications - 22
Citations - 8969
Ning Tang is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 7, co-authored 17 publications receiving 6691 citations.
Papers
More filters
Journal ArticleDOI
Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia.
TL;DR: In the recent outbreak of novel coronavirus infection in Wuhan, China, significantly abnormal coagulation parameters in severe novel coronvirus pneumonia (NCP) cases were a concern.
Journal ArticleDOI
Anticoagulant treatment is associated with decreased mortality in severe coronavirus disease 2019 patients with coagulopathy.
TL;DR: A relatively high mortality of severe coronavirus disease 2019 (COVID‐19) is worrying, and the application of heparin in CO VID‐19 has been recommended by some expert consensus because of the risk of disseminated intravascular coagulation and venous thromboembolism, but its efficacy remains to be validated.
Journal ArticleDOI
ISTH interim guidance on recognition and management of coagulopathy in COVID-19.
Jecko Thachil,Ning Tang,Satoshi Gando,Anna Falanga,Marco Cattaneo,Marcel Levi,Cary Clark,Toshiaki Iba +7 more
TL;DR: This work aims to contribute towards the humanizing of thrombosis and Haemostasis by promoting awareness of the importance of proper diagnosis and treatment of these conditions in patients.
Journal ArticleDOI
Validation of the PLASMIC score, a clinical prediction tool for thrombotic thrombocytopenic purpura diagnosis, in Chinese patients.
TL;DR: A simpler score without MCV < 90 fL can be used to identify TTP in Chinese patients and in pregnant patients, a combination of the PLASMIC score of 6-7 and LDH-to-AST ratio of ≥5 showed a higher positive predictive value for TTP compared with the PLAsMIC score alone.
Journal ArticleDOI
Clinical characteristics of moderate and severe cases with COVID-19 in Wuhan, China: a retrospective study.
TL;DR: Age, comorbidities, platelet count, albumin, D-dimer, LDH, CRP and IL-6 level might be more meaningful marks for COVID-19 prognostic evaluation.