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Urinary SARS-CoV-2 RNA is An Indicator For The Progression and Prognosis of COVID-19 Disease

Authors :
Gang Wang
Xiaogang Li
Jingyuan Xie
Yuan Song
Tiechi Lei
Lu Zhang
Huiming Wang
Cheng Chen
Bo Shen
Yang Guan
Guohua Ding
Wei Liang
Yongqing Tong
Kai Zhu
Maoqing Tian
Source :
Research Square, article-version (status) pre, article-version (number) 1
Publication Year :
2021
Publisher :
American Journal Experts, 2021.

Abstract

Background: We aimed to analyse clinical characteristics and find potential factors predicting poor prognosis in patients with coronavirus disease 2019 (COVID-19). Methods: We analyzed the demographic and clinical data of COVID-19 patients and detected SARS-CoV-2 RNA in urine sediments collected from 53 COVID-19 patients enrolled in Renmin Hospital of Wuhan University from January 31, 2020 to February 18, 2020 with qRT-PCR analysis, and then classified those patients based on clinical conditions (severe or non-severe syndrome) and urinary SARS-CoV-2 RNA (URNA- or URNA+). Results: We found that COVID-19 patients with severe syndrome (severe patients) showed significantly higher positive rate (11 of 23, 47.8%) of urinary SARS-CoV-2 RNA than non-severe patients (4 of 30, 13.3%, p = 0.006). URNA+ patients or severe URNA+ subgroup exhibited higher prevalence of inflammation and immune discord, cardiovascular diseases, liver damage and renal disfunction, and higher risk of death than URNA- patients. To understand the potential mechanisms underlying the viral urine shedding, we performed renal histopathological analysis on postmortems of patients with COVID-19 and found that severe renal vascular endothelium lesion characterized by increase of the expression of thrombomodulin and von Willebrand factor, markers to assess the endothelium dysfunction. We proposed a theoretical and mathematic model to depict the potential factors determining the urine shedding of SARS-CoV-2. Conclusions: This study indicated that urinary SARS-CoV-2 RNA detected in urine specimens can be used to predict the progression and prognosis of COVID-19 severity.

Details

Language :
English
Database :
OpenAIRE
Journal :
Research Square
Accession number :
edsair.doi.dedup.....2ccc740ff7e726c6804c89cdbf70e3a1