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Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients
Appropriate interpretation of blood tests is important for risk stratification and guidelines used in the Emergency Department (ED) (such as SIRS or CURB-65). The impact of abnormal blood test values on mortality may change with increasing age due to (patho)-physiologic changes. The aim of this stud...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799641/ https://www.ncbi.nlm.nih.gov/pubmed/35091652 http://dx.doi.org/10.1038/s41598-022-05485-4 |
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author | Candel, Bart G. J. Khoudja, Jamèl Gaakeer, Menno I. ter Avest, Ewoud Sir, Özcan Lameijer, Heleen Hessels, Roger A. P. A. Reijnen, Resi van Zwet, Erik de Jonge, Evert de Groot, Bas |
author_facet | Candel, Bart G. J. Khoudja, Jamèl Gaakeer, Menno I. ter Avest, Ewoud Sir, Özcan Lameijer, Heleen Hessels, Roger A. P. A. Reijnen, Resi van Zwet, Erik de Jonge, Evert de Groot, Bas |
author_sort | Candel, Bart G. J. |
collection | PubMed |
description | Appropriate interpretation of blood tests is important for risk stratification and guidelines used in the Emergency Department (ED) (such as SIRS or CURB-65). The impact of abnormal blood test values on mortality may change with increasing age due to (patho)-physiologic changes. The aim of this study was therefore to assess the effect of age on the case-mix adjusted association between biomarkers of renal function and homeostasis, inflammation and circulation and in-hospital mortality. This observational multi-center cohort study has used the Netherlands Emergency department Evaluation Database (NEED), including all consecutive ED patients ≥ 18 years of three hospitals. A generalized additive logistic regression model was used to visualize the association between in-hospital mortality, age and five blood tests (creatinine, sodium, leukocytes, C-reactive Protein, and hemoglobin). Multivariable logistic regression analyses were used to assess the association between the number of abnormal blood test values and mortality per age category (18–50; 51–65; 66–80; > 80 years). Of the 94,974 included patients, 2550 (2.7%) patients died in-hospital. Mortality increased gradually for C-reactive Protein (CRP), and had a U-shaped association for creatinine, sodium, leukocytes, and hemoglobin. Age significantly affected the associations of all studied blood tests except in leukocytes. In addition, with increasing age categories, case-mix adjusted mortality increased with the number of abnormal blood tests. In summary, the association between blood tests and (adjusted) mortality depends on age. Mortality increases gradually or in a U-shaped manner with increasing blood test values. Age-adjusted numerical scores may improve risk stratification. Our results have implications for interpretation of blood tests and their use in risk stratification tools and acute care guidelines. Trial registration number Netherlands Trial Register (NTR) NL8422, 03/2020. |
format | Online Article Text |
id | pubmed-8799641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87996412022-02-01 Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients Candel, Bart G. J. Khoudja, Jamèl Gaakeer, Menno I. ter Avest, Ewoud Sir, Özcan Lameijer, Heleen Hessels, Roger A. P. A. Reijnen, Resi van Zwet, Erik de Jonge, Evert de Groot, Bas Sci Rep Article Appropriate interpretation of blood tests is important for risk stratification and guidelines used in the Emergency Department (ED) (such as SIRS or CURB-65). The impact of abnormal blood test values on mortality may change with increasing age due to (patho)-physiologic changes. The aim of this study was therefore to assess the effect of age on the case-mix adjusted association between biomarkers of renal function and homeostasis, inflammation and circulation and in-hospital mortality. This observational multi-center cohort study has used the Netherlands Emergency department Evaluation Database (NEED), including all consecutive ED patients ≥ 18 years of three hospitals. A generalized additive logistic regression model was used to visualize the association between in-hospital mortality, age and five blood tests (creatinine, sodium, leukocytes, C-reactive Protein, and hemoglobin). Multivariable logistic regression analyses were used to assess the association between the number of abnormal blood test values and mortality per age category (18–50; 51–65; 66–80; > 80 years). Of the 94,974 included patients, 2550 (2.7%) patients died in-hospital. Mortality increased gradually for C-reactive Protein (CRP), and had a U-shaped association for creatinine, sodium, leukocytes, and hemoglobin. Age significantly affected the associations of all studied blood tests except in leukocytes. In addition, with increasing age categories, case-mix adjusted mortality increased with the number of abnormal blood tests. In summary, the association between blood tests and (adjusted) mortality depends on age. Mortality increases gradually or in a U-shaped manner with increasing blood test values. Age-adjusted numerical scores may improve risk stratification. Our results have implications for interpretation of blood tests and their use in risk stratification tools and acute care guidelines. Trial registration number Netherlands Trial Register (NTR) NL8422, 03/2020. Nature Publishing Group UK 2022-01-28 /pmc/articles/PMC8799641/ /pubmed/35091652 http://dx.doi.org/10.1038/s41598-022-05485-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Candel, Bart G. J. Khoudja, Jamèl Gaakeer, Menno I. ter Avest, Ewoud Sir, Özcan Lameijer, Heleen Hessels, Roger A. P. A. Reijnen, Resi van Zwet, Erik de Jonge, Evert de Groot, Bas Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients |
title | Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients |
title_full | Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients |
title_fullStr | Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients |
title_full_unstemmed | Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients |
title_short | Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients |
title_sort | age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in emergency department patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799641/ https://www.ncbi.nlm.nih.gov/pubmed/35091652 http://dx.doi.org/10.1038/s41598-022-05485-4 |
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