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Comparison of creatinine‐based methods for estimating glomerular filtration rate in patients with heart failure
AIMS: Glomerular filtration rate is an important factor in management of heart failure (HF). Our objective was to validate eight creatinine‐based equations for estimating glomerular filtration rate (eGFR) in an HF population against measured glomerular filtration rate. METHODS AND RESULTS: One hundr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261582/ https://www.ncbi.nlm.nih.gov/pubmed/32052932 http://dx.doi.org/10.1002/ehf2.12643 |
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author | Jonsson, Anna Viklund, Ida Jonsson, Andreas Valham, Fredrik Bergdahl, Ellinor Lindmark, Krister Norberg, Helena |
author_facet | Jonsson, Anna Viklund, Ida Jonsson, Andreas Valham, Fredrik Bergdahl, Ellinor Lindmark, Krister Norberg, Helena |
author_sort | Jonsson, Anna |
collection | PubMed |
description | AIMS: Glomerular filtration rate is an important factor in management of heart failure (HF). Our objective was to validate eight creatinine‐based equations for estimating glomerular filtration rate (eGFR) in an HF population against measured glomerular filtration rate. METHODS AND RESULTS: One hundred forty‐six HF patients (mean age 68 ± 13 years, mean left ventricular ejection fraction 45% ± 15) within a single‐centre hospital that underwent (51)Cr‐EDTA clearance between 2010 and 2018 were included in this retrospective study. eGFR was estimated by means of Cockcroft–Gault ideal and actual weight, the Modification of Diet in Renal Disease Study (MDRD), simplified MDRD with isotope dilution mass spectroscopy traceable calibration, the Chronic Kidney Disease Epidemiology Collaboration, revised Lund–Malmö, full age spectrum, and the Berlin Initiative Study 1. Mean measured glomerular filtration rate was 42 mL/min/1.73 m(2). Pearson's correlation coefficient (r) had the highest precision for MDRD (r = 0.9), followed by revised Lund–Malmö (r = 0.88). All equations except MDRD (mean difference −4.8%) resulted in an overestimation of the renal function. The accuracy was below 75% for all equations except MDRD. CONCLUSIONS: None of the exclusively creatinine‐based methods was accurate in predicting eGFR in HF patients. Our findings suggest that more accurate methods are needed for determining eGFR in patients with HF. |
format | Online Article Text |
id | pubmed-7261582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72615822020-06-01 Comparison of creatinine‐based methods for estimating glomerular filtration rate in patients with heart failure Jonsson, Anna Viklund, Ida Jonsson, Andreas Valham, Fredrik Bergdahl, Ellinor Lindmark, Krister Norberg, Helena ESC Heart Fail Original Research Articles AIMS: Glomerular filtration rate is an important factor in management of heart failure (HF). Our objective was to validate eight creatinine‐based equations for estimating glomerular filtration rate (eGFR) in an HF population against measured glomerular filtration rate. METHODS AND RESULTS: One hundred forty‐six HF patients (mean age 68 ± 13 years, mean left ventricular ejection fraction 45% ± 15) within a single‐centre hospital that underwent (51)Cr‐EDTA clearance between 2010 and 2018 were included in this retrospective study. eGFR was estimated by means of Cockcroft–Gault ideal and actual weight, the Modification of Diet in Renal Disease Study (MDRD), simplified MDRD with isotope dilution mass spectroscopy traceable calibration, the Chronic Kidney Disease Epidemiology Collaboration, revised Lund–Malmö, full age spectrum, and the Berlin Initiative Study 1. Mean measured glomerular filtration rate was 42 mL/min/1.73 m(2). Pearson's correlation coefficient (r) had the highest precision for MDRD (r = 0.9), followed by revised Lund–Malmö (r = 0.88). All equations except MDRD (mean difference −4.8%) resulted in an overestimation of the renal function. The accuracy was below 75% for all equations except MDRD. CONCLUSIONS: None of the exclusively creatinine‐based methods was accurate in predicting eGFR in HF patients. Our findings suggest that more accurate methods are needed for determining eGFR in patients with HF. John Wiley and Sons Inc. 2020-02-13 /pmc/articles/PMC7261582/ /pubmed/32052932 http://dx.doi.org/10.1002/ehf2.12643 Text en © 2020 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Articles Jonsson, Anna Viklund, Ida Jonsson, Andreas Valham, Fredrik Bergdahl, Ellinor Lindmark, Krister Norberg, Helena Comparison of creatinine‐based methods for estimating glomerular filtration rate in patients with heart failure |
title | Comparison of creatinine‐based methods for estimating glomerular filtration rate in patients with heart failure |
title_full | Comparison of creatinine‐based methods for estimating glomerular filtration rate in patients with heart failure |
title_fullStr | Comparison of creatinine‐based methods for estimating glomerular filtration rate in patients with heart failure |
title_full_unstemmed | Comparison of creatinine‐based methods for estimating glomerular filtration rate in patients with heart failure |
title_short | Comparison of creatinine‐based methods for estimating glomerular filtration rate in patients with heart failure |
title_sort | comparison of creatinine‐based methods for estimating glomerular filtration rate in patients with heart failure |
topic | Original Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261582/ https://www.ncbi.nlm.nih.gov/pubmed/32052932 http://dx.doi.org/10.1002/ehf2.12643 |
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