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Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients
INTRODUCTION: Predicting the timing and occurrence of kidney replacement therapy (KRT), cardiovascular events, and death among patients with advanced chronic kidney disease (CKD) is clinically useful and relevant. We aimed to externally validate a recently developed CKD G4+ risk calculator for these...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546766/ https://www.ncbi.nlm.nih.gov/pubmed/36217520 http://dx.doi.org/10.1016/j.ekir.2022.07.165 |
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author | Ramspek, Chava L. Boekee, Rosemarijn Evans, Marie Heimburger, Olof Snead, Charlotte M. Caskey, Fergus J. Torino, Claudia Porto, Gaetana Szymczak, Maciej Krajewska, Magdalena Drechsler, Christiane Wanner, Christoph Chesnaye, Nicholas C. Jager, Kitty J. Dekker, Friedo W. Snoeijs, Maarten G.J. Rotmans, Joris I. van Diepen, Merel |
author_facet | Ramspek, Chava L. Boekee, Rosemarijn Evans, Marie Heimburger, Olof Snead, Charlotte M. Caskey, Fergus J. Torino, Claudia Porto, Gaetana Szymczak, Maciej Krajewska, Magdalena Drechsler, Christiane Wanner, Christoph Chesnaye, Nicholas C. Jager, Kitty J. Dekker, Friedo W. Snoeijs, Maarten G.J. Rotmans, Joris I. van Diepen, Merel |
author_sort | Ramspek, Chava L. |
collection | PubMed |
description | INTRODUCTION: Predicting the timing and occurrence of kidney replacement therapy (KRT), cardiovascular events, and death among patients with advanced chronic kidney disease (CKD) is clinically useful and relevant. We aimed to externally validate a recently developed CKD G4+ risk calculator for these outcomes and to assess its potential clinical impact in guiding vascular access placement. METHODS: We included 1517 patients from the European Quality (EQUAL) study, a European multicentre prospective cohort study of nephrology-referred advanced CKD patients aged ≥65 years. Model performance was assessed based on discrimination and calibration. Potential clinical utility for timing of referral for vascular access placement was studied with diagnostic measures and decision curve analysis (DCA). RESULTS: The model showed a good discrimination for KRT and “death after KRT,” with 2-year concordance (C) statistics of 0.74 and 0.76, respectively. Discrimination for cardiovascular events (2-year C-statistic: 0.70) and overall death (2-year C-statistic: 0.61) was poorer. Calibration was fairly accurate. Decision curves illustrated that using the model to guide vascular access referral would generally lead to less unused arteriovenous fistulas (AVFs) than following estimated glomerular filtration rate (eGFR) thresholds. CONCLUSION: This study shows moderate to good predictive performance of the model in an older cohort of nephrology-referred patients with advanced CKD. Using the model to guide referral for vascular access placement has potential in combating unnecessary vascular surgeries. |
format | Online Article Text |
id | pubmed-9546766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-95467662022-10-09 Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients Ramspek, Chava L. Boekee, Rosemarijn Evans, Marie Heimburger, Olof Snead, Charlotte M. Caskey, Fergus J. Torino, Claudia Porto, Gaetana Szymczak, Maciej Krajewska, Magdalena Drechsler, Christiane Wanner, Christoph Chesnaye, Nicholas C. Jager, Kitty J. Dekker, Friedo W. Snoeijs, Maarten G.J. Rotmans, Joris I. van Diepen, Merel Kidney Int Rep Clinical Research INTRODUCTION: Predicting the timing and occurrence of kidney replacement therapy (KRT), cardiovascular events, and death among patients with advanced chronic kidney disease (CKD) is clinically useful and relevant. We aimed to externally validate a recently developed CKD G4+ risk calculator for these outcomes and to assess its potential clinical impact in guiding vascular access placement. METHODS: We included 1517 patients from the European Quality (EQUAL) study, a European multicentre prospective cohort study of nephrology-referred advanced CKD patients aged ≥65 years. Model performance was assessed based on discrimination and calibration. Potential clinical utility for timing of referral for vascular access placement was studied with diagnostic measures and decision curve analysis (DCA). RESULTS: The model showed a good discrimination for KRT and “death after KRT,” with 2-year concordance (C) statistics of 0.74 and 0.76, respectively. Discrimination for cardiovascular events (2-year C-statistic: 0.70) and overall death (2-year C-statistic: 0.61) was poorer. Calibration was fairly accurate. Decision curves illustrated that using the model to guide vascular access referral would generally lead to less unused arteriovenous fistulas (AVFs) than following estimated glomerular filtration rate (eGFR) thresholds. CONCLUSION: This study shows moderate to good predictive performance of the model in an older cohort of nephrology-referred patients with advanced CKD. Using the model to guide referral for vascular access placement has potential in combating unnecessary vascular surgeries. Elsevier 2022-08-02 /pmc/articles/PMC9546766/ /pubmed/36217520 http://dx.doi.org/10.1016/j.ekir.2022.07.165 Text en © 2022 International Society of Nephrology. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Clinical Research Ramspek, Chava L. Boekee, Rosemarijn Evans, Marie Heimburger, Olof Snead, Charlotte M. Caskey, Fergus J. Torino, Claudia Porto, Gaetana Szymczak, Maciej Krajewska, Magdalena Drechsler, Christiane Wanner, Christoph Chesnaye, Nicholas C. Jager, Kitty J. Dekker, Friedo W. Snoeijs, Maarten G.J. Rotmans, Joris I. van Diepen, Merel Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients |
title | Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients |
title_full | Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients |
title_fullStr | Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients |
title_full_unstemmed | Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients |
title_short | Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients |
title_sort | predicting kidney failure, cardiovascular disease and death in advanced ckd patients |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546766/ https://www.ncbi.nlm.nih.gov/pubmed/36217520 http://dx.doi.org/10.1016/j.ekir.2022.07.165 |
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