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Assessing potassium levels in critically ill patients with heart failure: application of a group‐based trajectory model
AIMS: Abnormalities in potassium homeostasis are frequently seen in hospitalized patients. A poor outcome in heart failure (HF) has been linked to both hypokalaemia and hyperkalaemia. The studies on the connection between variations in potassium levels and all‐cause mortality remain scarce. We delin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871702/ https://www.ncbi.nlm.nih.gov/pubmed/36151847 http://dx.doi.org/10.1002/ehf2.14161 |
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author | Lin, Zehao Zheng, Jiawei Liu, Xiaochun Hu, Xiaojun Fuxian, Ren Gao, Dengfeng |
author_facet | Lin, Zehao Zheng, Jiawei Liu, Xiaochun Hu, Xiaojun Fuxian, Ren Gao, Dengfeng |
author_sort | Lin, Zehao |
collection | PubMed |
description | AIMS: Abnormalities in potassium homeostasis are frequently seen in hospitalized patients. A poor outcome in heart failure (HF) has been linked to both hypokalaemia and hyperkalaemia. The studies on the connection between variations in potassium levels and all‐cause mortality remain scarce. We delineated trajectories of potassium levels and investigated the association of these trajectories with all‐cause mortality of critically ill patients with HF. METHODS AND RESULTS: A retrospective analysis of blood potassium levels (9 times) in patients with HF after being admitted to the intensive care unit (ICU). Potassium levels were divided into three groups according to the first serum potassium level in ICU and thereafter categorized as follows: hypokalaemia group (n = 336) (<3.5 mmol/L), normal blood potassium‐level group (n = 3322) (3.5–5.0 mmol/L), and hyperkalaemia group (n = 395) (>5.0 mmol/L). According to the group‐based trajectory modelling (GBTM), the hyperkalaemia group and the normal blood potassium‐level group can be divided into three trajectory groups: the low‐level stable group, the medium‐level stable group, and the high‐level decline group. The hypokalaemia group can be divided into two trajectory groups: the low‐level rise group and the high‐level rise group. A total of 4053 HF patients were included (mean age 71.81 ± 13.12 years, 54.90% males, 45.10% females). After adjusting for possible confounding variables, in the hyperkalaemia group, the low‐level stable group had lower 28 day [high‐level decline group vs. low‐level stable group hazard ratio (HR), 95% confidence interval (CI): 2.917, 1.555–5.473; P < 0.05] and 365 day (high‐level decline group vs. low‐level stable group HR, 95% CI: 2.854, 1.820–4.475; P < 0.05) all‐cause mortality. In the normal blood potassium‐level group, the medium‐level stable group had lower 28 day (medium‐level stable group vs. low‐level stable group HR, 95% CI: 0.776, 0.657–0.918; P < 0.05) and 365 day (medium‐level stable group vs. low‐level stable group HR, 95% CI: 0.827, 0.733–0.934; P < 0.05) all‐cause mortality. In the hypokalaemia group, the cumulative survival of the high‐level rise group and the low‐level rise group did not differ significantly. CONCLUSIONS: Critically ill patients with HF have blood potassium trajectories. And the trajectories are associated with all‐cause mortality for hyperkalaemia and normal blood potassium‐level patients. GBTM is a granular method to describe the evolution of blood potassium, which may increase the current knowledge of blood potassium‐level adjustment. |
format | Online Article Text |
id | pubmed-9871702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98717022023-01-25 Assessing potassium levels in critically ill patients with heart failure: application of a group‐based trajectory model Lin, Zehao Zheng, Jiawei Liu, Xiaochun Hu, Xiaojun Fuxian, Ren Gao, Dengfeng ESC Heart Fail Original Articles AIMS: Abnormalities in potassium homeostasis are frequently seen in hospitalized patients. A poor outcome in heart failure (HF) has been linked to both hypokalaemia and hyperkalaemia. The studies on the connection between variations in potassium levels and all‐cause mortality remain scarce. We delineated trajectories of potassium levels and investigated the association of these trajectories with all‐cause mortality of critically ill patients with HF. METHODS AND RESULTS: A retrospective analysis of blood potassium levels (9 times) in patients with HF after being admitted to the intensive care unit (ICU). Potassium levels were divided into three groups according to the first serum potassium level in ICU and thereafter categorized as follows: hypokalaemia group (n = 336) (<3.5 mmol/L), normal blood potassium‐level group (n = 3322) (3.5–5.0 mmol/L), and hyperkalaemia group (n = 395) (>5.0 mmol/L). According to the group‐based trajectory modelling (GBTM), the hyperkalaemia group and the normal blood potassium‐level group can be divided into three trajectory groups: the low‐level stable group, the medium‐level stable group, and the high‐level decline group. The hypokalaemia group can be divided into two trajectory groups: the low‐level rise group and the high‐level rise group. A total of 4053 HF patients were included (mean age 71.81 ± 13.12 years, 54.90% males, 45.10% females). After adjusting for possible confounding variables, in the hyperkalaemia group, the low‐level stable group had lower 28 day [high‐level decline group vs. low‐level stable group hazard ratio (HR), 95% confidence interval (CI): 2.917, 1.555–5.473; P < 0.05] and 365 day (high‐level decline group vs. low‐level stable group HR, 95% CI: 2.854, 1.820–4.475; P < 0.05) all‐cause mortality. In the normal blood potassium‐level group, the medium‐level stable group had lower 28 day (medium‐level stable group vs. low‐level stable group HR, 95% CI: 0.776, 0.657–0.918; P < 0.05) and 365 day (medium‐level stable group vs. low‐level stable group HR, 95% CI: 0.827, 0.733–0.934; P < 0.05) all‐cause mortality. In the hypokalaemia group, the cumulative survival of the high‐level rise group and the low‐level rise group did not differ significantly. CONCLUSIONS: Critically ill patients with HF have blood potassium trajectories. And the trajectories are associated with all‐cause mortality for hyperkalaemia and normal blood potassium‐level patients. GBTM is a granular method to describe the evolution of blood potassium, which may increase the current knowledge of blood potassium‐level adjustment. John Wiley and Sons Inc. 2022-09-24 /pmc/articles/PMC9871702/ /pubmed/36151847 http://dx.doi.org/10.1002/ehf2.14161 Text en © 2022 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Lin, Zehao Zheng, Jiawei Liu, Xiaochun Hu, Xiaojun Fuxian, Ren Gao, Dengfeng Assessing potassium levels in critically ill patients with heart failure: application of a group‐based trajectory model |
title | Assessing potassium levels in critically ill patients with heart failure: application of a group‐based trajectory model |
title_full | Assessing potassium levels in critically ill patients with heart failure: application of a group‐based trajectory model |
title_fullStr | Assessing potassium levels in critically ill patients with heart failure: application of a group‐based trajectory model |
title_full_unstemmed | Assessing potassium levels in critically ill patients with heart failure: application of a group‐based trajectory model |
title_short | Assessing potassium levels in critically ill patients with heart failure: application of a group‐based trajectory model |
title_sort | assessing potassium levels in critically ill patients with heart failure: application of a group‐based trajectory model |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871702/ https://www.ncbi.nlm.nih.gov/pubmed/36151847 http://dx.doi.org/10.1002/ehf2.14161 |
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