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Development of a Risk Score for AKI onset in COVID-19 Patients: COV-AKI Score
PURPOSE: Acute Kidney Injury (AKI) in COVID-19 patients is associated with increased morbidity and mortality. In the present study, we aimed to develop a prognostic score to predict AKI development in these patients. MATERIALS AND METHODS: This was a retrospective observational study of 2334 COVID 1...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977632/ https://www.ncbi.nlm.nih.gov/pubmed/36859175 http://dx.doi.org/10.1186/s12882-023-03095-4 |
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author | Palomba, Henrique Cubos, Daniel Bozza, Fernando Zampieri, Fernando Godinho Romano, Thiago Gomes |
author_facet | Palomba, Henrique Cubos, Daniel Bozza, Fernando Zampieri, Fernando Godinho Romano, Thiago Gomes |
author_sort | Palomba, Henrique |
collection | PubMed |
description | PURPOSE: Acute Kidney Injury (AKI) in COVID-19 patients is associated with increased morbidity and mortality. In the present study, we aimed to develop a prognostic score to predict AKI development in these patients. MATERIALS AND METHODS: This was a retrospective observational study of 2334 COVID 19 patients admitted to 23 different hospitals in Brazil, between January 10th and August 30rd, 2020. The primary outcome of AKI was defined as any increase in serum creatinine (SCr) by 0.3 mg/dL within 48 h or a change in SCr by ≥ 1.5 times of baseline within 1 week, based on Kidney Disease Improving Global Outcomes (KDIGO) guidelines. All patients aged ≥ 18 y/o admitted with confirmed SARS-COV-2 infection were included. Discrimination of variables was calculated by the Receiver Operator Characteristic Curve (ROC curve) utilizing area under curve. Some continuous variables were categorized through ROC curve. The cutoff points were calculated using the value with the best sensitivity and specificity. RESULTS: A total of 1131 patients with COVID-19 admitted to the ICU were included. Patients mean age was 52 ± 15,8 y/o., with a prevalence of males 60% (n = 678). The risk of AKI was 33% (n = 376), 78% (n = 293) of which did not require dialysis. Overall mortality was 11% (n = 127), while for AKI patients, mortality rate was 21% (n = 80). Variables selected for the logistic regression model and inclusion in the final prognostic score were the following: age, diabetes, ACEis, ARBs, chronic kidney disease and hypertension. CONCLUSION: AKI development in COVID 19 patients is accurately predicted by common clinical variables, allowing early interventions to attenuate the impact of AKI in these patients. |
format | Online Article Text |
id | pubmed-9977632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99776322023-03-02 Development of a Risk Score for AKI onset in COVID-19 Patients: COV-AKI Score Palomba, Henrique Cubos, Daniel Bozza, Fernando Zampieri, Fernando Godinho Romano, Thiago Gomes BMC Nephrol Research PURPOSE: Acute Kidney Injury (AKI) in COVID-19 patients is associated with increased morbidity and mortality. In the present study, we aimed to develop a prognostic score to predict AKI development in these patients. MATERIALS AND METHODS: This was a retrospective observational study of 2334 COVID 19 patients admitted to 23 different hospitals in Brazil, between January 10th and August 30rd, 2020. The primary outcome of AKI was defined as any increase in serum creatinine (SCr) by 0.3 mg/dL within 48 h or a change in SCr by ≥ 1.5 times of baseline within 1 week, based on Kidney Disease Improving Global Outcomes (KDIGO) guidelines. All patients aged ≥ 18 y/o admitted with confirmed SARS-COV-2 infection were included. Discrimination of variables was calculated by the Receiver Operator Characteristic Curve (ROC curve) utilizing area under curve. Some continuous variables were categorized through ROC curve. The cutoff points were calculated using the value with the best sensitivity and specificity. RESULTS: A total of 1131 patients with COVID-19 admitted to the ICU were included. Patients mean age was 52 ± 15,8 y/o., with a prevalence of males 60% (n = 678). The risk of AKI was 33% (n = 376), 78% (n = 293) of which did not require dialysis. Overall mortality was 11% (n = 127), while for AKI patients, mortality rate was 21% (n = 80). Variables selected for the logistic regression model and inclusion in the final prognostic score were the following: age, diabetes, ACEis, ARBs, chronic kidney disease and hypertension. CONCLUSION: AKI development in COVID 19 patients is accurately predicted by common clinical variables, allowing early interventions to attenuate the impact of AKI in these patients. BioMed Central 2023-03-02 /pmc/articles/PMC9977632/ /pubmed/36859175 http://dx.doi.org/10.1186/s12882-023-03095-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Palomba, Henrique Cubos, Daniel Bozza, Fernando Zampieri, Fernando Godinho Romano, Thiago Gomes Development of a Risk Score for AKI onset in COVID-19 Patients: COV-AKI Score |
title | Development of a Risk Score for AKI onset in COVID-19 Patients: COV-AKI Score |
title_full | Development of a Risk Score for AKI onset in COVID-19 Patients: COV-AKI Score |
title_fullStr | Development of a Risk Score for AKI onset in COVID-19 Patients: COV-AKI Score |
title_full_unstemmed | Development of a Risk Score for AKI onset in COVID-19 Patients: COV-AKI Score |
title_short | Development of a Risk Score for AKI onset in COVID-19 Patients: COV-AKI Score |
title_sort | development of a risk score for aki onset in covid-19 patients: cov-aki score |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977632/ https://www.ncbi.nlm.nih.gov/pubmed/36859175 http://dx.doi.org/10.1186/s12882-023-03095-4 |
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