Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients
| Autor: | David Ramos-Chavarino, Paula Argente del Castillo, Maria Antonieta Ballesteros-Vizoso, Rocío Amezaga-Menéndez, Cristina Gómez-Cobo, Luis García de Guadiana-Romualdo, J. Albert Pou, Isabel Llompart, Ana García-Raja, Daniel Morell-Garcia, Josep Miquel Bauça, Alberto Alonso-Fernández |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Nephrology
Male 030204 cardiovascular system & hematology Urine Severity of Illness Index Biochemistry law.invention 0302 clinical medicine law Risk Factors Medicine 030212 general & internal medicine Multidisciplinary Acute kidney injury Area under the curve Acute Kidney Injury Middle Aged Prognosis Intensive care unit Hospitalization Observational Studies as Topic Area Under Curve Female Adult medicine.medical_specialty Critical Care Science Urinary system Urology Microbiology Article 03 medical and health sciences Internal medicine Severity of illness Humans Aged Retrospective Studies business.industry COVID-19 Retrospective cohort study medicine.disease Logistic Models ROC Curve business Biomarkers Kidney disease |
| Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021) |
| ISSN: | 2045-2322 |
| Popis: | 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 p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|