Cargando…
Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients?
INTRODUCTION: Our study aimed to analyze whether renal parameters can predict mortality from COVID-19 disease in hospitalized patients. METHODS: This retrospective cohort includes all adult patients with confirmed COVID-19 disease who were consecutively admitted to the tertiary hospital during the 4...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059033/ https://www.ncbi.nlm.nih.gov/pubmed/35051925 http://dx.doi.org/10.1159/000522100 |
_version_ | 1784698233071599616 |
---|---|
author | Zolotov, Eli Sigal, Anat Havrda, Martin Jeřábková, Karolína Krátká, Karolína Uzlová, Nikola Rychlík, Ivan |
author_facet | Zolotov, Eli Sigal, Anat Havrda, Martin Jeřábková, Karolína Krátká, Karolína Uzlová, Nikola Rychlík, Ivan |
author_sort | Zolotov, Eli |
collection | PubMed |
description | INTRODUCTION: Our study aimed to analyze whether renal parameters can predict mortality from COVID-19 disease in hospitalized patients. METHODS: This retrospective cohort includes all adult patients with confirmed COVID-19 disease who were consecutively admitted to the tertiary hospital during the 4-month period (September 1 to December 31, 2020). We analyzed their basic laboratory values, urinalysis, comorbidities, length of hospitalization, and survival. The RIFLE and KDIGO criteria were used for AKI and CKD grading, respectively. To display renal function evolution and the severity of renal damage, we subdivided patients further into 6 groups as follows: group 1 (normal renal function), group 2 (CKD grades 2 + 3a), group 3 (AKI-DROP defined as whose s-Cr level dropped by >33.3% during the hospitalization), group 4 (CKD 3b), group 5 (CKD 4 + 5), and group 6 (AKI-RISE defined as whose s-Cr level was elevated by ≥50% within 7 days or by ≥26.5 μmol/L within 48 h during hospitalization). Then, we used eGFR on admission independently of renal damage to check whether it can predict mortality. Only 4 groups were used: group I − normal renal function (eGFR > 1.5 mL/s), group II − mild renal involvement (eGFR 0.75–1.5), group III − moderate (eGFR 0.5–0.75), and group IV − severe (GFR <0.5). RESULTS: A total of 680 patients were included in our cohort; among them, 244 patients displayed normal renal function, 207 patients fulfilled AKI, and 229 patients suffered from CKD. In total, a significantly higher mortality rate was found in the AKI and the CKD groups versus normal renal function − 37.2% and 32.3% versus 9.4%, respectively (p < 0.001). In addition, the groups 1–6 divided by severity of renal damage reported mortality of 9.4%, 21.2%, 24.1%, 48.7%, 62.8%, and 55.1%, respectively (p < 0.001). The mean hospitalization duration of alive patients with normal renal findings was 9.5 days, while it was 12.1 days in patients with any renal damage (p < 0.001). When all patients were compared according to eGFR on admission, the mortality was as follows: group I (normal) 9.8%, group II (mild) 22.1%, group III (moderate) 40.9%, and group IV (severe) 50.5%, respectively (p < 0.001). It was a significantly better mortality predictor than CRP on admission (AUC 0.7053 vs. 0.6053). CONCLUSIONS: Mortality in patients with abnormal renal function was 3 times higher compared to patients with normal renal function. Also, patients with renal damage had a worse and longer hospitalization course. Lastly, eGFR on admission, independently of renal damage type, was an excellent tool for predicting mortality. Further, the change in s-Cr levels during hospitalization reflected the mortality prognosis. |
format | Online Article Text |
id | pubmed-9059033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-90590332022-05-03 Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients? Zolotov, Eli Sigal, Anat Havrda, Martin Jeřábková, Karolína Krátká, Karolína Uzlová, Nikola Rychlík, Ivan Kidney Blood Press Res Research Article INTRODUCTION: Our study aimed to analyze whether renal parameters can predict mortality from COVID-19 disease in hospitalized patients. METHODS: This retrospective cohort includes all adult patients with confirmed COVID-19 disease who were consecutively admitted to the tertiary hospital during the 4-month period (September 1 to December 31, 2020). We analyzed their basic laboratory values, urinalysis, comorbidities, length of hospitalization, and survival. The RIFLE and KDIGO criteria were used for AKI and CKD grading, respectively. To display renal function evolution and the severity of renal damage, we subdivided patients further into 6 groups as follows: group 1 (normal renal function), group 2 (CKD grades 2 + 3a), group 3 (AKI-DROP defined as whose s-Cr level dropped by >33.3% during the hospitalization), group 4 (CKD 3b), group 5 (CKD 4 + 5), and group 6 (AKI-RISE defined as whose s-Cr level was elevated by ≥50% within 7 days or by ≥26.5 μmol/L within 48 h during hospitalization). Then, we used eGFR on admission independently of renal damage to check whether it can predict mortality. Only 4 groups were used: group I − normal renal function (eGFR > 1.5 mL/s), group II − mild renal involvement (eGFR 0.75–1.5), group III − moderate (eGFR 0.5–0.75), and group IV − severe (GFR <0.5). RESULTS: A total of 680 patients were included in our cohort; among them, 244 patients displayed normal renal function, 207 patients fulfilled AKI, and 229 patients suffered from CKD. In total, a significantly higher mortality rate was found in the AKI and the CKD groups versus normal renal function − 37.2% and 32.3% versus 9.4%, respectively (p < 0.001). In addition, the groups 1–6 divided by severity of renal damage reported mortality of 9.4%, 21.2%, 24.1%, 48.7%, 62.8%, and 55.1%, respectively (p < 0.001). The mean hospitalization duration of alive patients with normal renal findings was 9.5 days, while it was 12.1 days in patients with any renal damage (p < 0.001). When all patients were compared according to eGFR on admission, the mortality was as follows: group I (normal) 9.8%, group II (mild) 22.1%, group III (moderate) 40.9%, and group IV (severe) 50.5%, respectively (p < 0.001). It was a significantly better mortality predictor than CRP on admission (AUC 0.7053 vs. 0.6053). CONCLUSIONS: Mortality in patients with abnormal renal function was 3 times higher compared to patients with normal renal function. Also, patients with renal damage had a worse and longer hospitalization course. Lastly, eGFR on admission, independently of renal damage type, was an excellent tool for predicting mortality. Further, the change in s-Cr levels during hospitalization reflected the mortality prognosis. S. Karger AG 2022-01-20 /pmc/articles/PMC9059033/ /pubmed/35051925 http://dx.doi.org/10.1159/000522100 Text en Copyright © 2022 by S. Karger AG, Basel https://creativecommons.org/licenses/by-nc/4.0/This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC). Usage and distribution for commercial purposes requires written permission. Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug. Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements. |
spellingShingle | Research Article Zolotov, Eli Sigal, Anat Havrda, Martin Jeřábková, Karolína Krátká, Karolína Uzlová, Nikola Rychlík, Ivan Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients? |
title | Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients? |
title_full | Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients? |
title_fullStr | Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients? |
title_full_unstemmed | Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients? |
title_short | Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients? |
title_sort | can renal parameters predict the mortality of hospitalized covid-19 patients? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059033/ https://www.ncbi.nlm.nih.gov/pubmed/35051925 http://dx.doi.org/10.1159/000522100 |
work_keys_str_mv | AT zolotoveli canrenalparameterspredictthemortalityofhospitalizedcovid19patients AT sigalanat canrenalparameterspredictthemortalityofhospitalizedcovid19patients AT havrdamartin canrenalparameterspredictthemortalityofhospitalizedcovid19patients AT jerabkovakarolina canrenalparameterspredictthemortalityofhospitalizedcovid19patients AT kratkakarolina canrenalparameterspredictthemortalityofhospitalizedcovid19patients AT uzlovanikola canrenalparameterspredictthemortalityofhospitalizedcovid19patients AT rychlikivan canrenalparameterspredictthemortalityofhospitalizedcovid19patients |