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

Abstract Risk factors associated with severity and mortality attributable to COVID-19 have been reported in different cohorts, highlighting the occurrence of acute kidney injury (AKI) in 25% of them. Among other, SARS-CoV-2 targets renal tubular cells and can cause acute renal damage. The aim of the...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/855c9467842e421fac6a10f78da39965
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spelling	oai:doaj.org-article:855c9467842e421fac6a10f78da399652021-12-02T15:49:31ZUrine biomarkers for the prediction of mortality in COVID-19 hospitalized patients10.1038/s41598-021-90610-y2045-2322https://doaj.org/article/855c9467842e421fac6a10f78da399652021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90610-yhttps://doaj.org/toc/2045-2322Abstract Risk factors associated with severity and mortality attributable to COVID-19 have been reported in different cohorts, highlighting the occurrence of acute kidney injury (AKI) in 25% of them. Among other, SARS-CoV-2 targets renal tubular cells and can cause acute renal damage. The aim of the present study was to evaluate the usefulness of urinary parameters in predicting intensive care unit (ICU) admission, mortality and development of AKI in hospitalized patients with COVID-19. Retrospective observational study, in a tertiary care hospital, between March 1st and April 19th, 2020. We recruited adult patients admitted consecutively and positive for SARS-CoV-2. Urinary and serum biomarkers were correlated with clinical outcomes (AKI, ICU admission, hospital discharge and in-hospital mortality) and evaluated using a logistic regression model and ROC curves. A total of 199 COVID-19 hospitalized patients were included. In AKI, the logistic regression model with a highest area under the curve (AUC) was reached by the combination of urine blood and previous chronic kidney disease, with an AUC of 0.676 (95%CI 0.512–0.840; p = 0.023); urine specific weight, sodium and albumin in serum, with an AUC of 0.837 (95% CI 0.766–0.909; p < 0.001) for ICU admission; and age, urine blood and lactate dehydrogenase levels in serum, with an AUC of 0.923 (95%CI 0.866–0.979; p < 0.001) for mortality prediction. For hospitalized patients with COVID-19, renal involvement and early alterations of urinary and serum parameters are useful as prognostic factors of AKI, the need for ICU admission and death.Daniel Morell-GarciaDavid Ramos-ChavarinoJosep M. BauçaPaula Argente del CastilloMaria Antonieta Ballesteros-VizosoLuis García de Guadiana-RomualdoCristina Gómez-CoboJ. Albert PouRocío Amezaga-MenéndezAlberto Alonso-FernándezIsabel LlompartAna García-RajaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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 Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients
description	Abstract Risk factors associated with severity and mortality attributable to COVID-19 have been reported in different cohorts, highlighting the occurrence of acute kidney injury (AKI) in 25% of them. Among other, SARS-CoV-2 targets renal tubular cells and can cause acute renal damage. The aim of the present study was to evaluate the usefulness of urinary parameters in predicting intensive care unit (ICU) admission, mortality and development of AKI in hospitalized patients with COVID-19. Retrospective observational study, in a tertiary care hospital, between March 1st and April 19th, 2020. We recruited adult patients admitted consecutively and positive for SARS-CoV-2. Urinary and serum biomarkers were correlated with clinical outcomes (AKI, ICU admission, hospital discharge and in-hospital mortality) and evaluated using a logistic regression model and ROC curves. A total of 199 COVID-19 hospitalized patients were included. In AKI, the logistic regression model with a highest area under the curve (AUC) was reached by the combination of urine blood and previous chronic kidney disease, with an AUC of 0.676 (95%CI 0.512–0.840; p = 0.023); urine specific weight, sodium and albumin in serum, with an AUC of 0.837 (95% CI 0.766–0.909; p < 0.001) for ICU admission; and age, urine blood and lactate dehydrogenase levels in serum, with an AUC of 0.923 (95%CI 0.866–0.979; p < 0.001) for mortality prediction. For hospitalized patients with COVID-19, renal involvement and early alterations of urinary and serum parameters are useful as prognostic factors of AKI, the need for ICU admission and death.
format	article
author	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
author_facet	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
author_sort	Daniel Morell-Garcia
title	Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients
title_short	Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients
title_full	Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients
title_fullStr	Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients
title_full_unstemmed	Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients
title_sort	urine biomarkers for the prediction of mortality in covid-19 hospitalized patients
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/855c9467842e421fac6a10f78da39965
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Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients

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