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Increased Serum Sodium at Acute Kidney Injury Onset Predicts In-Hospital Death

BACKGROUND: Over the last decades, acute kidney injury (AKI) has been identified as a potentially fatal diagnosis which substantially increases in-hospital mortality in the short term and morbidity/mortality in the long term. However, reliable biomarkers for predicting AKI-associated outcomes are st...

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Autores principales: Marahrens, Benedikt, Damsch, Leah, Lehmann, Rebecca, Matyukhin, Igor, Patschan, Susann, Patschan, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elmer Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990719/
https://www.ncbi.nlm.nih.gov/pubmed/36895623
http://dx.doi.org/10.14740/jocmr4845
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author Marahrens, Benedikt
Damsch, Leah
Lehmann, Rebecca
Matyukhin, Igor
Patschan, Susann
Patschan, Daniel
author_facet Marahrens, Benedikt
Damsch, Leah
Lehmann, Rebecca
Matyukhin, Igor
Patschan, Susann
Patschan, Daniel
author_sort Marahrens, Benedikt
collection PubMed
description BACKGROUND: Over the last decades, acute kidney injury (AKI) has been identified as a potentially fatal diagnosis which substantially increases in-hospital mortality in the short term and morbidity/mortality in the long term. However, reliable biomarkers for predicting AKI-associated outcomes are still missing. In this study, we assessed whether serum sodium, measured at different time points during the in-hospital treatment period, provided prognostic information in AKI. METHODS: This was a retrospective, observational cohort study. AKI subjects were identified via the in-hospital AKI alert system. Serum sodium and potassium levels were documented at five pre-defined time points: hospital admission, AKI onset, minimum estimated glomerular filtration rate, minimum and maximum of the respective electrolyte during the treatment period. In-hospital death, the need for kidney replacement therapy (KRT) and recovery of kidney function were defined as endpoints. RESULTS: Patients who suffered in-hospital death (n = 37, 23.1%) showed significantly higher serum sodium levels at diagnosis of AKI (survivors: 145.7 ± 2.13 vs. non-survivors: 138.8 ± 0.636 mmol/L, P = 0.003). A logistic regression model was significant for serum sodium levels in patients with in-hospital death (X(2), P = 0.003; odds ratio = 1.08 (1.022 - 1.141); R(2) = 0.082; d = 0.089). This suggests an increase of the relative risk for in-hospital death by 8% with every unit of serum sodium increase. Patients with a sodium above the upper normal range at AKI diagnosis were also more likely to suffer in-hospital death (P = 0.001). CONCLUSION: In summary, we present evidence that serum sodium, measured at time of AKI diagnosis, potentially serves as a predictor for in-hospital death in patients with AKI.
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spelling pubmed-99907192023-03-08 Increased Serum Sodium at Acute Kidney Injury Onset Predicts In-Hospital Death Marahrens, Benedikt Damsch, Leah Lehmann, Rebecca Matyukhin, Igor Patschan, Susann Patschan, Daniel J Clin Med Res Original Article BACKGROUND: Over the last decades, acute kidney injury (AKI) has been identified as a potentially fatal diagnosis which substantially increases in-hospital mortality in the short term and morbidity/mortality in the long term. However, reliable biomarkers for predicting AKI-associated outcomes are still missing. In this study, we assessed whether serum sodium, measured at different time points during the in-hospital treatment period, provided prognostic information in AKI. METHODS: This was a retrospective, observational cohort study. AKI subjects were identified via the in-hospital AKI alert system. Serum sodium and potassium levels were documented at five pre-defined time points: hospital admission, AKI onset, minimum estimated glomerular filtration rate, minimum and maximum of the respective electrolyte during the treatment period. In-hospital death, the need for kidney replacement therapy (KRT) and recovery of kidney function were defined as endpoints. RESULTS: Patients who suffered in-hospital death (n = 37, 23.1%) showed significantly higher serum sodium levels at diagnosis of AKI (survivors: 145.7 ± 2.13 vs. non-survivors: 138.8 ± 0.636 mmol/L, P = 0.003). A logistic regression model was significant for serum sodium levels in patients with in-hospital death (X(2), P = 0.003; odds ratio = 1.08 (1.022 - 1.141); R(2) = 0.082; d = 0.089). This suggests an increase of the relative risk for in-hospital death by 8% with every unit of serum sodium increase. Patients with a sodium above the upper normal range at AKI diagnosis were also more likely to suffer in-hospital death (P = 0.001). CONCLUSION: In summary, we present evidence that serum sodium, measured at time of AKI diagnosis, potentially serves as a predictor for in-hospital death in patients with AKI. Elmer Press 2023-02 2023-02-28 /pmc/articles/PMC9990719/ /pubmed/36895623 http://dx.doi.org/10.14740/jocmr4845 Text en Copyright 2023, Marahrens et al. https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Marahrens, Benedikt
Damsch, Leah
Lehmann, Rebecca
Matyukhin, Igor
Patschan, Susann
Patschan, Daniel
Increased Serum Sodium at Acute Kidney Injury Onset Predicts In-Hospital Death
title Increased Serum Sodium at Acute Kidney Injury Onset Predicts In-Hospital Death
title_full Increased Serum Sodium at Acute Kidney Injury Onset Predicts In-Hospital Death
title_fullStr Increased Serum Sodium at Acute Kidney Injury Onset Predicts In-Hospital Death
title_full_unstemmed Increased Serum Sodium at Acute Kidney Injury Onset Predicts In-Hospital Death
title_short Increased Serum Sodium at Acute Kidney Injury Onset Predicts In-Hospital Death
title_sort increased serum sodium at acute kidney injury onset predicts in-hospital death
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990719/
https://www.ncbi.nlm.nih.gov/pubmed/36895623
http://dx.doi.org/10.14740/jocmr4845
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