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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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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