Literature DB >> 32484450

Urinalysis parameters for predicting severity in coronavirus disease 2019 (COVID-19).

Graziella Bonetti1, Filippo Manelli2, Alessandra Bettinardi1, Gianluca Borrelli1, Gianfranco Fiordalisi1, Antonio Marino1, Annamaria Menolfi1, Sara Saggini1, Roberta Volpi1, Riccardo Adamini3, Giuseppe Lippi4.   

Abstract

Entities:  

Keywords:  COVID-19; coronavirus disease 2019; laboratory medicine; urinary sediment; urine

Mesh：

Year:  2020        PMID： 32484450     DOI： 10.1515/cclm-2020-0576

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN： 1434-6621            Impact factor:   3.694


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  3 in total

1.  Association of AKI-D with Urinary Findings and Baseline eGFR in Hospitalized COVID-19 Patients.

Authors:  Dipal M Patel; Manali Phadke; Feng Dai; Michael Simonov; Neera K Dahl; Ravi Kodali
Journal:  Kidney360       Date:  2021-05-20

2.  Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients.

Authors:  Daniel Morell-Garcia; David Ramos-Chavarino; Josep M Bauça; Paula Argente Del Castillo; Maria Antonieta Ballesteros-Vizoso; Luis García de Guadiana-Romualdo; Cristina Gómez-Cobo; J Albert Pou; Rocío Amezaga-Menéndez; Alberto Alonso-Fernández; Isabel Llompart; Ana García-Raja
Journal:  Sci Rep       Date:  2021-05-27       Impact factor: 4.379

3.  Urine Biochemical Parameters in Predicting Severity of SARS-CoV-2 Infection: an Experience in Tertiary Care Centre in Western India.

Authors:  Priyanka Murgod; Preeti Doshi; Ravindra Nimbargi
Journal:  Iran J Pathol       Date:  2021-06-12
  3 in total

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