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

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 fro...

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Detalles Bibliográficos
Autores principales: Tian, Maoqing, Zhang, Lu, Zhu, Kai, Shen, Bo, Wang, Gang, Song, Yuan, Chen, Cheng, Liang, Wei, Guan, Yang, Ding, Guohua, Lei, Tiechi, Li, Xiaogang, Xie, Jingyuan, Tong, Yongqing, Wang, Huiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899468/
https://www.ncbi.nlm.nih.gov/pubmed/33619474
http://dx.doi.org/10.21203/rs.3.rs-203728/v1
Descripción
Sumario: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 (U(RNA)(−) or U(RNA)(+)). 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). U(RNA)(+) patients or severe U(RNA)(+) subgroup exhibited higher prevalence of inflammation and immune discord, cardiovascular diseases, liver damage and renal disfunction, and higher risk of death than U(RNA)(−) 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.