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Baseline electrolyte disorders predict disease severity and mortality in patients with COVID-19
Distinguishing critical laboratory biomarkers for disease severity at the time of hospital presentation is important for early identification of patients who are most likely to have poor outcomes and effective use of health resources. This study aimed to evaluate whether electrolyte imbalances on ho...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794216/ https://www.ncbi.nlm.nih.gov/pubmed/36595788 http://dx.doi.org/10.1097/MD.0000000000032397 |
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author | Taci Hoca, Nevin Berktaş, Bahadir M. |
author_facet | Taci Hoca, Nevin Berktaş, Bahadir M. |
author_sort | Taci Hoca, Nevin |
collection | PubMed |
description | Distinguishing critical laboratory biomarkers for disease severity at the time of hospital presentation is important for early identification of patients who are most likely to have poor outcomes and effective use of health resources. This study aimed to evaluate whether electrolyte imbalances on hospital admission predict severe disease and mortality in patients with coronavirus disease 2019 (COVID-19). We retrospectively collected data on the blood electrolyte concentrations of 286 COVID-19 patients at admission. The correlations between electrolyte imbalances, inflammation, and thrombosis markers in COVID-19 patients were also evaluated. We assessed the predictive performance of baseline blood electrolyte concentrations for severe disease and death using receiver operating characteristic curve analysis and multivariate logistic regression methods. Abnormalities in serum sodium, calcium, and potassium levels at admission were found at 20.6%, 14%, and 4.2%, respectively in this study. In the receiver operating characteristic curve analyses, hypocalcemia and hyponatremia effectively predicted disease progression to hospitalization (area under the curve 0.82, P < .001 and 0.81, P < .001, respectively) and 30-day mortality (area under the curve 0.85, P < .001 and 0.91, P < .001, respectively). In the multivariate logistic regression analysis, baseline hypocalcemia was identified as an independent risk factor associated with the risk of hospitalization (β = 2.019, P = .01; odds ratio: 7.53). Baseline hypocalcemia and hyponatremia effectively predicted disease progression toward hospitalization and 30-day mortality in patients with COVID-19. Clinicians should closely follow up or reevaluate COVID-19 patients with baseline electrolyte disorders. |
format | Online Article Text |
id | pubmed-9794216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-97942162022-12-28 Baseline electrolyte disorders predict disease severity and mortality in patients with COVID-19 Taci Hoca, Nevin Berktaş, Bahadir M. Medicine (Baltimore) 6700 Distinguishing critical laboratory biomarkers for disease severity at the time of hospital presentation is important for early identification of patients who are most likely to have poor outcomes and effective use of health resources. This study aimed to evaluate whether electrolyte imbalances on hospital admission predict severe disease and mortality in patients with coronavirus disease 2019 (COVID-19). We retrospectively collected data on the blood electrolyte concentrations of 286 COVID-19 patients at admission. The correlations between electrolyte imbalances, inflammation, and thrombosis markers in COVID-19 patients were also evaluated. We assessed the predictive performance of baseline blood electrolyte concentrations for severe disease and death using receiver operating characteristic curve analysis and multivariate logistic regression methods. Abnormalities in serum sodium, calcium, and potassium levels at admission were found at 20.6%, 14%, and 4.2%, respectively in this study. In the receiver operating characteristic curve analyses, hypocalcemia and hyponatremia effectively predicted disease progression to hospitalization (area under the curve 0.82, P < .001 and 0.81, P < .001, respectively) and 30-day mortality (area under the curve 0.85, P < .001 and 0.91, P < .001, respectively). In the multivariate logistic regression analysis, baseline hypocalcemia was identified as an independent risk factor associated with the risk of hospitalization (β = 2.019, P = .01; odds ratio: 7.53). Baseline hypocalcemia and hyponatremia effectively predicted disease progression toward hospitalization and 30-day mortality in patients with COVID-19. Clinicians should closely follow up or reevaluate COVID-19 patients with baseline electrolyte disorders. Lippincott Williams & Wilkins 2022-12-23 /pmc/articles/PMC9794216/ /pubmed/36595788 http://dx.doi.org/10.1097/MD.0000000000032397 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | 6700 Taci Hoca, Nevin Berktaş, Bahadir M. Baseline electrolyte disorders predict disease severity and mortality in patients with COVID-19 |
title | Baseline electrolyte disorders predict disease severity and mortality in patients with COVID-19 |
title_full | Baseline electrolyte disorders predict disease severity and mortality in patients with COVID-19 |
title_fullStr | Baseline electrolyte disorders predict disease severity and mortality in patients with COVID-19 |
title_full_unstemmed | Baseline electrolyte disorders predict disease severity and mortality in patients with COVID-19 |
title_short | Baseline electrolyte disorders predict disease severity and mortality in patients with COVID-19 |
title_sort | baseline electrolyte disorders predict disease severity and mortality in patients with covid-19 |
topic | 6700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794216/ https://www.ncbi.nlm.nih.gov/pubmed/36595788 http://dx.doi.org/10.1097/MD.0000000000032397 |
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