N
Nan Su
Researcher at Soochow University (Suzhou)
Publications - 8
Citations - 485
Nan Su is an academic researcher from Soochow University (Suzhou). The author has contributed to research in topics: Internal medicine & Intensive care. The author has an hindex of 3, co-authored 5 publications receiving 314 citations.
Papers
More filters
Journal ArticleDOI
Clinical Course and Outcomes of 344 Intensive Care Patients with COVID-19.
Yang Wang,Xiaofan Lu,Yongsheng Li,Hui Chen,Taige Chen,Nan Su,Fang Huang,Jing Zhou,Bing Zhang,Fangrong Yan,Jun Wang +10 more
TL;DR: Clinical characteristics and outcomes of intensive care patients, data on whom are scarce but are of paramount importance to reduce mortality, are focused on.
Journal ArticleDOI
Corticosteroid Therapy Is Associated With Improved Outcome in Critically Ill Patients With COVID-19 With Hyperinflammatory Phenotype.
Hui Chen,Jianfeng Xie,Nan Su,Jun Wang,Qin Sun,Shusheng Li,Jun Jin,Jing Zhou,Min Mo,Yao Wei,Yali Chao,Weiwei Hu,Bin Du,Haibo Qiu +13 more
TL;DR: For critically ill patients with COVID-19, corticosteroid therapy was not associated with 28-day mortality, but the use of corticosticosteroids showed significant survival benefits in patients with the hyperinflammatory phenotype.
Journal ArticleDOI
Simplified immune-dysregulation index: a novel marker predicts 28-day mortality of intensive care patients with COVID-19.
TL;DR: The proposed simplified Immune-dysregulation Index predicts 28-day mortality of intensive care patients with COVID-19, a novel marker that significantly reduces the uncertainty in the prognosis of prior studies of this type.
Journal ArticleDOI
Early risk factors for extrapulmonary organ injury in adult COVID-19 patients
Fang Huang,Wanli Ma,Haimei Zheng,Y. Ye,Hui Chen,Nan Su,Xiaofeng Li,Yuqing Wang,Jun Jin,Z. Yu,Yueqiang Li,Jun Wang +11 more
TL;DR: Older age, lymphocytopenia, high level of D-Dimer and IL-6 and the severity of lung injury were the high-risk factors of extrapulmonary organ injury in COVID-19 patients.
Journal ArticleDOI
Identification and Prediction of Novel Clinical Phenotypes for Intensive Care Patients With SARS-CoV-2 Pneumonia: An Observational Cohort Study
Hui Chen,Zhu Zhu,Nan Su,Jun Wang,Jun Gu,Shu Lu,Li Zhang,Xuesong Chen,Lei Xu,Xiangrong Shao,Jiangtao Yin,Jinghui Yang,Baodi Sun,Yongsheng Li +13 more
TL;DR: In this article, the authors applied consensus k-means clustering and latent class analysis (LCA) to identify phenotypes using 26 clinical variables, including neutrophil-tolymphocyte ratio (NLR), ratio of pulse oxygen saturation to the fractional concentration of oxygen in inspired air (Spo2/Fio2) ratio, lactate dehydrogenase (LDH), tumor necrosis factor α (TNF-α), and urea nitrogen.