ArticleScientific reports2021
Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 31 citations in OpenAlex.
- Machine learning algorithms for predicting COVID-19 mortality in Ethiopia.BMC public health · 2024Article
- Diabetes Mellitus, Energy Metabolism, and COVID-19.Endocrine reviews · 2024Review
- Association Between Artificial Intelligence Based Chest Computed Tomography and Clinical/Laboratory Characteristics with Severity and Mortality in COVID-19 Hospitalized Patients.Journal of inflammation research · 2024Article
- Comparison of clinical outcomes, demographic, and laboratory characteristics of hospitalized COVID-19 patients during major three waves driven by Alpha, Delta, and Omicron variants in Tehran, Iran.Influenza and other respiratory viruses · 2023Article
- Urine Parameters in Patients with COVID-19 Infection.Life (Basel, Switzerland) · 2023Review
- Machine learning-based mortality prediction models for smoker COVID-19 patients.BMC medical informatics and decision making · 2023Article
- A metabolic readout of the urine metabolome of COVID-19 patients.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- COVID-19 in Iran: clinical presentations and outcomes in three different surges of COVID-19 infection.Virology journal · 2022Article
- Epidemiological Characteristics and Mortality Risk Factors Comparison in Dialysis and Non-Dialysis CKD Patients with COVID-19-A Single Center Experience.Journal of personalized medicine · 2022Article
- Predictive Values of Procalcitonin and Presepsin for Acute Kidney Injury and 30-Day Hospital Mortality in Patients with COVID-19.Medicina (Kaunas, Lithuania) · 2022Article
- Urinalysis, but Not Blood Biochemistry, Detects the Early Renal Impairment in Patients with COVID-19.Diagnostics (Basel, Switzerland) · 2022Article
- Kidney Injury in COVID-19: Epidemiology, Molecular Mechanisms and Potential Therapeutic Targets.International journal of molecular sciences · 2022Review
- Using dipstick urinalysis to predict development of acute kidney injury in patients with COVID-19.BMC nephrology · 2022Article
- Laboratory Biomarkers for Diagnosis and Prognosis in COVID-19.Frontiers in immunology · 2022Review
- Risk factors of early mortality among COVID-19 deceased patients in Addis Ababa COVID-19 care centers, Ethiopia.PloS one · 2022Article
- An update on the interaction between COVID-19, vaccines, and diabetic kidney disease.Frontiers in immunology · 2022Review
- Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients?Kidney & blood pressure research · 2022Article
- Is there an association between urine biochemical parameters on admission and the severity OF COVID-19?International journal of clinical practice · 2021Article
- Development of a spectroscopic technique that enables the saliva based detection of COVID-19 at safe distances.Results in chemistry · 2021Article
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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