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The Red Blood Cell Distribution Width–Albumin Ratio Was a Potential Prognostic Biomarker for Diabetic Ketoacidosis
BACKGROUND: The red blood cell distribution width (RDW)–albumin ratio (RA) is a new biomarker, which is d-efined as RDW divided by albumin. This study aimed at determining the prognostic values of RA for diabetic ketoacidosis (DKA). METHODS: Data were obtained from Medical Information Mart for Inten...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434876/ https://www.ncbi.nlm.nih.gov/pubmed/34522133 http://dx.doi.org/10.2147/IJGM.S327733 |
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author | Zhou, Depu Wang, Jie Li, Xiaokun |
author_facet | Zhou, Depu Wang, Jie Li, Xiaokun |
author_sort | Zhou, Depu |
collection | PubMed |
description | BACKGROUND: The red blood cell distribution width (RDW)–albumin ratio (RA) is a new biomarker, which is d-efined as RDW divided by albumin. This study aimed at determining the prognostic values of RA for diabetic ketoacidosis (DKA). METHODS: Data were obtained from Medical Information Mart for Intensive Care Database III V1.4 (MIMIC-III) and the RA calculated. Multivariate Cox regression analysis was performed to determine the correlation between RA and 90-day mortality or 365-day mortality. To further investigate the association with RA and mortality, the patients were divided into two groups. The second outcome was the association between the incidence of DKA-related infections and RA. RESULTS: For DKA patients in the ICU, RA was significantly correlated with 90-day mortality (HR: 2.1, 95% CI: 1.5, 3.0, p < 0.001) and 365-day mortality (HR: 1.9, 95% CI: 1.5, 2.5, p < 0.001). A high RA was independently correlated with increased 90-day mortality (HR: 7.8, 95% CI: 1.8, 34.0, p for trend <0.001) and 365-day mortality (HR: 5.2, 95% CI: 2.4, 11.3, p for trend <0.001). Moreover, RA was found to be an independent predictor for sepsis and septic shock in patients with DKA (HR: 2.9, 95% CI: 2.0, 4.1, p < 0.001). After adjusting for confounders, the statistical outcome was the same. CONCLUSION: A high RA is significantly correlated with increased all-cause mortality of DKA as well as an increased incidence of DKA-related infections. RA is a potential prognostic marker for DKA. |
format | Online Article Text |
id | pubmed-8434876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-84348762021-09-13 The Red Blood Cell Distribution Width–Albumin Ratio Was a Potential Prognostic Biomarker for Diabetic Ketoacidosis Zhou, Depu Wang, Jie Li, Xiaokun Int J Gen Med Original Research BACKGROUND: The red blood cell distribution width (RDW)–albumin ratio (RA) is a new biomarker, which is d-efined as RDW divided by albumin. This study aimed at determining the prognostic values of RA for diabetic ketoacidosis (DKA). METHODS: Data were obtained from Medical Information Mart for Intensive Care Database III V1.4 (MIMIC-III) and the RA calculated. Multivariate Cox regression analysis was performed to determine the correlation between RA and 90-day mortality or 365-day mortality. To further investigate the association with RA and mortality, the patients were divided into two groups. The second outcome was the association between the incidence of DKA-related infections and RA. RESULTS: For DKA patients in the ICU, RA was significantly correlated with 90-day mortality (HR: 2.1, 95% CI: 1.5, 3.0, p < 0.001) and 365-day mortality (HR: 1.9, 95% CI: 1.5, 2.5, p < 0.001). A high RA was independently correlated with increased 90-day mortality (HR: 7.8, 95% CI: 1.8, 34.0, p for trend <0.001) and 365-day mortality (HR: 5.2, 95% CI: 2.4, 11.3, p for trend <0.001). Moreover, RA was found to be an independent predictor for sepsis and septic shock in patients with DKA (HR: 2.9, 95% CI: 2.0, 4.1, p < 0.001). After adjusting for confounders, the statistical outcome was the same. CONCLUSION: A high RA is significantly correlated with increased all-cause mortality of DKA as well as an increased incidence of DKA-related infections. RA is a potential prognostic marker for DKA. Dove 2021-09-07 /pmc/articles/PMC8434876/ /pubmed/34522133 http://dx.doi.org/10.2147/IJGM.S327733 Text en © 2021 Zhou et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Zhou, Depu Wang, Jie Li, Xiaokun The Red Blood Cell Distribution Width–Albumin Ratio Was a Potential Prognostic Biomarker for Diabetic Ketoacidosis |
title | The Red Blood Cell Distribution Width–Albumin Ratio Was a Potential Prognostic Biomarker for Diabetic Ketoacidosis |
title_full | The Red Blood Cell Distribution Width–Albumin Ratio Was a Potential Prognostic Biomarker for Diabetic Ketoacidosis |
title_fullStr | The Red Blood Cell Distribution Width–Albumin Ratio Was a Potential Prognostic Biomarker for Diabetic Ketoacidosis |
title_full_unstemmed | The Red Blood Cell Distribution Width–Albumin Ratio Was a Potential Prognostic Biomarker for Diabetic Ketoacidosis |
title_short | The Red Blood Cell Distribution Width–Albumin Ratio Was a Potential Prognostic Biomarker for Diabetic Ketoacidosis |
title_sort | red blood cell distribution width–albumin ratio was a potential prognostic biomarker for diabetic ketoacidosis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434876/ https://www.ncbi.nlm.nih.gov/pubmed/34522133 http://dx.doi.org/10.2147/IJGM.S327733 |
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