Weijie Guan
Guangzhou Medical University
Internal medicineCross-sectional studyRetrospective cohort studyIntensive care medicinePhysical therapyPediatricsChinaFEV1/FVC ratioSputumBetacoronavirusBronchiectasisMEDLINESputum cultureSpirometrySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Family medicineMedicineCohortPandemic
32Publications
14H-index
17.2kCitations
Publications 27
Newest
#1Wenhua Liang (Guangzhou Medical University)H-Index: 35
#2Jianhua Yao (Tencent)H-Index: 40
Last. Jianxing He (Guangzhou Medical University)H-Index: 52
view all 33 authors...
The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical illness is of major concern. It is imperative to identify these patients early. We show that a deep learning-based survival model can predict the risk of COVID-19 patients developing critical illness based on clinical characteristics at admission. We develop this model using a cohort of 1590 patients from 575 medical centers, with internal validation performance of concordance index 0.894 We further...
96 CitationsSource
BACKGROUND The novel coronavirus disease 2019 (COVID-19) has become a global health emergency. Cumulative number of new confirmed case and death are still increasing out of China. However, the independent predicted factors associated with the fatal outcome remain uncertain. METHODS A retrospective cohort of 1590 hospitalized subjects with COVID-19 throughout China was established. The prognostic effects of variables, including clinical features and laboratory findings, were analyzed using Kapla-...
297 CitationsSource
#1Hengrui Liang (Guangzhou Medical University)H-Index: 13
#2Yuchen Guo (THU: Tsinghua University)H-Index: 21
Last. Guiguang Ding (THU: Tsinghua University)H-Index: 38
view all 40 authors...
Background: As the COVID-19 pandemic continues to spread worldwide, there is still no accurate rapid diagnostic test for COVID-19, or monitoring tool for patient’s clinical course. An artificial-intelligence system (CoviDet) was therefore developed and applied on chest computed tomography (CT), to evaluate its application for rapid diagnosis and potential monitoring of COVID-19 patients. Methods: 1,201,074 CT slices from 2527 patients were grouped into 3 main groups: COVID-19 positive group, non...
Source
#1Wenhua Liang (Guangzhou Medical University)H-Index: 35
#2Hengrui Liang (Guangzhou Medical University)H-Index: 13
Last. Jianxing He (Guangzhou Medical University)H-Index: 52
view all 20 authors...
Importance Early identification of patients with novel corona virus disease 2019 (COVID-19) who may develop critical illness is of great importance and may aid in delivering proper treatment and optimizing use of resources. Objective To develop and validate a clinical score at hospital admission for predicting which patients with COVID-19 will develop critical illness based on a nationwide cohort in China. Design, Setting, and Participants Collaborating with the National Health Commission of Chi...
563 CitationsSource
#1Tao Wang (Guangzhou Medical University)H-Index: 11
#2Ruchong Chen (Guangzhou Medical University)
Last. Shiyue Li (Guangzhou Medical University)H-Index: 18
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Since December, 2019, the coronavirus disease 2019 (COVID-19) has spread globally, infecting more than 1 million people and causing more than 70 000 deaths.1,2 Among patients with COVID-19, especially those who are severely and critically ill, a variety of potential risk factors for venous thromboembolism exist, including infection, immobilisation, respiratory failure, mechanical ventilation, and central venous catheter use.3,4 However, to the best of our knowledge, risk of venous thromboembolis...
229 CitationsSource
Background: The coronavirus disease 2019 (COVID-19) outbreak originating in Wuhan, Hubei province, China, coincided with chunyun, the period of mass migration for the annual Spring Festival. To contain its spread, China adopted unprecedented nationwide interventions on January 23 2020. These policies included large-scale quarantine, strict controls on travel and extensive monitoring of suspected cases. However, it is unknown whether these policies have had an impact on the epidemic. We sought to...
659 CitationsSource
#1Wenhua Liang (Guangzhou Medical University)H-Index: 35
#2Weijie Guan (Guangzhou Medical University)H-Index: 14
Last. Jianxing He (Guangzhou Medical University)H-Index: 52
view all 12 authors...
2,224 CitationsSource
Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of...
14.1k CitationsSource
#1Guoying GaoH-Index: 2
#2Chengzhi ZhouH-Index: 18
Last. Yinyin QinH-Index: 8
view all 14 authors...
Source
#1Jing-Jing Yuan (Guangzhou Medical University)H-Index: 4
#2Hui-min Li (Guangzhou Medical University)H-Index: 11
Last. Weijie Guan (Guangzhou Medical University)H-Index: 14
view all 8 authors...
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