Urinalysis parameters for predicting severity in coronavirus disease 2019 (COVID-19)
Clin Chem Lab Med
.
2020 Jun 2;58(9):e163-e165.
doi: 10.1515/cclm-2020-0576.
Print 2020 Aug 27.
Authors
Graziella Bonetti
1
,
Filippo Manelli
2
,
Alessandra Bettinardi
1
,
Gianluca Borrelli
1
,
Gianfranco Fiordalisi
1
,
Antonio Marino
1
,
Annamaria Menolfi
1
,
Sara Saggini
1
,
Roberta Volpi
1
,
Riccardo Adamini
3
,
Giuseppe Lippi
4
Affiliations
1
Laboratory of Clinical Pathology, ASST-Valcamonica, Esine, Brescia, Italy.
2
Emergency Department, ASST-Valcamonica, Esine, Brescia, Italy.
3
Department of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy.
4
Section of Clinical Biochemistry, University of Verona, Verona, Italy.
PMID:
32484450
DOI:
10.1515/cclm-2020-0576
No abstract available
Keywords:
COVID-19; coronavirus disease 2019; laboratory medicine; urinary sediment; urine.
Publication types
Letter
Comment
MeSH terms
Betacoronavirus
COVID-19
Coronavirus Infections*
Coronavirus*
Humans
Pandemics*
Pneumonia, Viral*
SARS-CoV-2
Urinalysis