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Renal scintigraphy to predict persistent renal failure after acute kidney injury: an observational study
INTRODUCTION: Renal scintigraphy (RS) is occasionally performed to assess the risk of persistent renal failure (PRF) in patients with acute kidney disease (AKD). However, its diagnostic performance has never been assessed. METHODS: We identified all patients with AKD for whom RS was performed in our...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226915/ https://www.ncbi.nlm.nih.gov/pubmed/36729289 http://dx.doi.org/10.1007/s40620-023-01569-0 |
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author | Altarelli, Marco Jreige, Mario Prior, John Olivier Nicod Lalonde, Marie Schneider, Antoine Guillaume |
author_facet | Altarelli, Marco Jreige, Mario Prior, John Olivier Nicod Lalonde, Marie Schneider, Antoine Guillaume |
author_sort | Altarelli, Marco |
collection | PubMed |
description | INTRODUCTION: Renal scintigraphy (RS) is occasionally performed to assess the risk of persistent renal failure (PRF) in patients with acute kidney disease (AKD). However, its diagnostic performance has never been assessed. METHODS: We identified all patients with AKD for whom RS was performed in our institution between 2010 and 2017. PRF was defined as persistently low (< 33% of baseline) estimated glomerular filtration rates (eGFR), 1 year after RS. Nuclear medicine specialists reviewed RS data and rated, for each patient, the likelihood of PRF (“PRF score”). We evaluated the performance to predict PRF (area under the ROC curve (AUC)) of RS-derived parameters such as renal accumulation index, accumulation slope, and new parameters derived from serial kidney activity counts. We tested the ability of those parameters to improve a clinical model including hypertension, diabetes, AKI severity and baseline eGFR. Finally, we conducted sensitivity analyses using alternate PRF definitions. RESULTS: Among 97 patients included, 57 (59%) fulfilled the criteria for PRF. The PRF score was able to predict PRF with an AUC of 0.63. Similarly, the accumulation index and accumulation slope respective AUCs were 0.64 and 0.63. None of these parameters were able to improve the performance of the clinical model. Among new parameters, the 3rd/2nd minute activity ratio and 3rd/2nd minute activity slope had fair diagnostic performance (AUC 0.72 and 0.74, respectively) and improved the performance of the clinical model. Results were confirmed in sensitivity analyses. CONCLUSION: Conventional renal scintigraphy can identify patients at high risk of PRF with a high specificity but a low sensitivity. New parameters, with comparable diagnostic abilities can be obtained within three minutes of injection. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40620-023-01569-0. |
format | Online Article Text |
id | pubmed-10226915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-102269152023-05-31 Renal scintigraphy to predict persistent renal failure after acute kidney injury: an observational study Altarelli, Marco Jreige, Mario Prior, John Olivier Nicod Lalonde, Marie Schneider, Antoine Guillaume J Nephrol Original Article INTRODUCTION: Renal scintigraphy (RS) is occasionally performed to assess the risk of persistent renal failure (PRF) in patients with acute kidney disease (AKD). However, its diagnostic performance has never been assessed. METHODS: We identified all patients with AKD for whom RS was performed in our institution between 2010 and 2017. PRF was defined as persistently low (< 33% of baseline) estimated glomerular filtration rates (eGFR), 1 year after RS. Nuclear medicine specialists reviewed RS data and rated, for each patient, the likelihood of PRF (“PRF score”). We evaluated the performance to predict PRF (area under the ROC curve (AUC)) of RS-derived parameters such as renal accumulation index, accumulation slope, and new parameters derived from serial kidney activity counts. We tested the ability of those parameters to improve a clinical model including hypertension, diabetes, AKI severity and baseline eGFR. Finally, we conducted sensitivity analyses using alternate PRF definitions. RESULTS: Among 97 patients included, 57 (59%) fulfilled the criteria for PRF. The PRF score was able to predict PRF with an AUC of 0.63. Similarly, the accumulation index and accumulation slope respective AUCs were 0.64 and 0.63. None of these parameters were able to improve the performance of the clinical model. Among new parameters, the 3rd/2nd minute activity ratio and 3rd/2nd minute activity slope had fair diagnostic performance (AUC 0.72 and 0.74, respectively) and improved the performance of the clinical model. Results were confirmed in sensitivity analyses. CONCLUSION: Conventional renal scintigraphy can identify patients at high risk of PRF with a high specificity but a low sensitivity. New parameters, with comparable diagnostic abilities can be obtained within three minutes of injection. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40620-023-01569-0. Springer International Publishing 2023-02-02 2023 /pmc/articles/PMC10226915/ /pubmed/36729289 http://dx.doi.org/10.1007/s40620-023-01569-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Original Article Altarelli, Marco Jreige, Mario Prior, John Olivier Nicod Lalonde, Marie Schneider, Antoine Guillaume Renal scintigraphy to predict persistent renal failure after acute kidney injury: an observational study |
title | Renal scintigraphy to predict persistent renal failure after acute kidney injury: an observational study |
title_full | Renal scintigraphy to predict persistent renal failure after acute kidney injury: an observational study |
title_fullStr | Renal scintigraphy to predict persistent renal failure after acute kidney injury: an observational study |
title_full_unstemmed | Renal scintigraphy to predict persistent renal failure after acute kidney injury: an observational study |
title_short | Renal scintigraphy to predict persistent renal failure after acute kidney injury: an observational study |
title_sort | renal scintigraphy to predict persistent renal failure after acute kidney injury: an observational study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226915/ https://www.ncbi.nlm.nih.gov/pubmed/36729289 http://dx.doi.org/10.1007/s40620-023-01569-0 |
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