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Prediction of Chronic Kidney Disease Stage 3 by CKD273, a Urinary Proteomic Biomarker

INTRODUCTION: CKD273 is a urinary biomarker, which in advanced chronic kidney disease predicts further deterioration. We investigated whether CKD273 can also predict a decline of estimated glomerular filtration rate (eGFR) to <60 ml/min per 1.73 m(2). METHODS: In analyses of 2087 individuals from...

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Autores principales: Pontillo, Claudia, Zhang, Zhen-Yu, Schanstra, Joost P., Jacobs, Lotte, Zürbig, Petra, Thijs, Lutgarde, Ramírez-Torres, Adela, Heerspink, Hiddo J.L., Lindhardt, Morten, Klein, Ronald, Orchard, Trevor, Porta, Massimo, Bilous, Rudolf W., Charturvedi, Nishi, Rossing, Peter, Vlahou, Antonia, Schepers, Eva, Glorieux, Griet, Mullen, William, Delles, Christian, Verhamme, Peter, Vanholder, Raymond, Staessen, Jan A., Mischak, Harald, Jankowski, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5669285/
https://www.ncbi.nlm.nih.gov/pubmed/29130072
http://dx.doi.org/10.1016/j.ekir.2017.06.004
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author Pontillo, Claudia
Zhang, Zhen-Yu
Schanstra, Joost P.
Jacobs, Lotte
Zürbig, Petra
Thijs, Lutgarde
Ramírez-Torres, Adela
Heerspink, Hiddo J.L.
Lindhardt, Morten
Klein, Ronald
Orchard, Trevor
Porta, Massimo
Bilous, Rudolf W.
Charturvedi, Nishi
Rossing, Peter
Vlahou, Antonia
Schepers, Eva
Glorieux, Griet
Mullen, William
Delles, Christian
Verhamme, Peter
Vanholder, Raymond
Staessen, Jan A.
Mischak, Harald
Jankowski, Joachim
author_facet Pontillo, Claudia
Zhang, Zhen-Yu
Schanstra, Joost P.
Jacobs, Lotte
Zürbig, Petra
Thijs, Lutgarde
Ramírez-Torres, Adela
Heerspink, Hiddo J.L.
Lindhardt, Morten
Klein, Ronald
Orchard, Trevor
Porta, Massimo
Bilous, Rudolf W.
Charturvedi, Nishi
Rossing, Peter
Vlahou, Antonia
Schepers, Eva
Glorieux, Griet
Mullen, William
Delles, Christian
Verhamme, Peter
Vanholder, Raymond
Staessen, Jan A.
Mischak, Harald
Jankowski, Joachim
author_sort Pontillo, Claudia
collection PubMed
description INTRODUCTION: CKD273 is a urinary biomarker, which in advanced chronic kidney disease predicts further deterioration. We investigated whether CKD273 can also predict a decline of estimated glomerular filtration rate (eGFR) to <60 ml/min per 1.73 m(2). METHODS: In analyses of 2087 individuals from 6 cohorts (46.4% women; 73.5% with diabetes; mean age, 46.1 years; eGFR ≥ 60 ml/min per 1.73 m(2), 100%; urinary albumin excretion rate [UAE] ≥20 μg/min, 6.2%), we accounted for cohort, sex, age, mean arterial pressure, diabetes, and eGFR at baseline and expressed associations per 1-SD increment in urinary biomarkers. RESULTS: Over 5 (median) follow-up visits, eGFR decreased more with higher baseline CKD273 than UAE (1.64 vs. 0.82 ml/min per 1.73 m(2); P < 0.0001). Over 4.6 years (median), 390 participants experienced a first renal endpoint (eGFR decrease by ≥10 to <60 ml/min per 1.73 m(2)), and 172 experienced an endpoint sustained over follow-up. The risk of a first and sustained renal endpoint increased with UAE (hazard ratio ≥ 1.23; P ≤ 0.043) and CKD273 (≥ 1.20; P ≤ 0.031). UAE (≥20 μg/min) and CKD273 (≥0.154) thresholds yielded sensitivities of 30% and 33% and specificities of 82% and 83% (P ≤ 0.0001 for difference between UAE and CKD273 in proportion of correctly classified individuals). As continuous markers, CKD273 (P = 0.039), but not UAE (P = 0.065), increased the integrated discrimination improvement, while both UAE and CKD273 improved the net reclassification index (P ≤ 0.0003), except for UAE per threshold (P = 0.086). DISCUSSION: In conclusion, while accounting for baseline eGFR, albuminuria, and covariables, CKD273 adds to the prediction of stage 3 chronic kidney disease, at which point intervention remains an achievable therapeutic target.
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spelling pubmed-56692852017-11-09 Prediction of Chronic Kidney Disease Stage 3 by CKD273, a Urinary Proteomic Biomarker Pontillo, Claudia Zhang, Zhen-Yu Schanstra, Joost P. Jacobs, Lotte Zürbig, Petra Thijs, Lutgarde Ramírez-Torres, Adela Heerspink, Hiddo J.L. Lindhardt, Morten Klein, Ronald Orchard, Trevor Porta, Massimo Bilous, Rudolf W. Charturvedi, Nishi Rossing, Peter Vlahou, Antonia Schepers, Eva Glorieux, Griet Mullen, William Delles, Christian Verhamme, Peter Vanholder, Raymond Staessen, Jan A. Mischak, Harald Jankowski, Joachim Kidney Int Rep Clinical Research INTRODUCTION: CKD273 is a urinary biomarker, which in advanced chronic kidney disease predicts further deterioration. We investigated whether CKD273 can also predict a decline of estimated glomerular filtration rate (eGFR) to <60 ml/min per 1.73 m(2). METHODS: In analyses of 2087 individuals from 6 cohorts (46.4% women; 73.5% with diabetes; mean age, 46.1 years; eGFR ≥ 60 ml/min per 1.73 m(2), 100%; urinary albumin excretion rate [UAE] ≥20 μg/min, 6.2%), we accounted for cohort, sex, age, mean arterial pressure, diabetes, and eGFR at baseline and expressed associations per 1-SD increment in urinary biomarkers. RESULTS: Over 5 (median) follow-up visits, eGFR decreased more with higher baseline CKD273 than UAE (1.64 vs. 0.82 ml/min per 1.73 m(2); P < 0.0001). Over 4.6 years (median), 390 participants experienced a first renal endpoint (eGFR decrease by ≥10 to <60 ml/min per 1.73 m(2)), and 172 experienced an endpoint sustained over follow-up. The risk of a first and sustained renal endpoint increased with UAE (hazard ratio ≥ 1.23; P ≤ 0.043) and CKD273 (≥ 1.20; P ≤ 0.031). UAE (≥20 μg/min) and CKD273 (≥0.154) thresholds yielded sensitivities of 30% and 33% and specificities of 82% and 83% (P ≤ 0.0001 for difference between UAE and CKD273 in proportion of correctly classified individuals). As continuous markers, CKD273 (P = 0.039), but not UAE (P = 0.065), increased the integrated discrimination improvement, while both UAE and CKD273 improved the net reclassification index (P ≤ 0.0003), except for UAE per threshold (P = 0.086). DISCUSSION: In conclusion, while accounting for baseline eGFR, albuminuria, and covariables, CKD273 adds to the prediction of stage 3 chronic kidney disease, at which point intervention remains an achievable therapeutic target. Elsevier 2017-06-15 /pmc/articles/PMC5669285/ /pubmed/29130072 http://dx.doi.org/10.1016/j.ekir.2017.06.004 Text en © 2017 International Society of Nephrology. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Clinical Research
Pontillo, Claudia
Zhang, Zhen-Yu
Schanstra, Joost P.
Jacobs, Lotte
Zürbig, Petra
Thijs, Lutgarde
Ramírez-Torres, Adela
Heerspink, Hiddo J.L.
Lindhardt, Morten
Klein, Ronald
Orchard, Trevor
Porta, Massimo
Bilous, Rudolf W.
Charturvedi, Nishi
Rossing, Peter
Vlahou, Antonia
Schepers, Eva
Glorieux, Griet
Mullen, William
Delles, Christian
Verhamme, Peter
Vanholder, Raymond
Staessen, Jan A.
Mischak, Harald
Jankowski, Joachim
Prediction of Chronic Kidney Disease Stage 3 by CKD273, a Urinary Proteomic Biomarker
title Prediction of Chronic Kidney Disease Stage 3 by CKD273, a Urinary Proteomic Biomarker
title_full Prediction of Chronic Kidney Disease Stage 3 by CKD273, a Urinary Proteomic Biomarker
title_fullStr Prediction of Chronic Kidney Disease Stage 3 by CKD273, a Urinary Proteomic Biomarker
title_full_unstemmed Prediction of Chronic Kidney Disease Stage 3 by CKD273, a Urinary Proteomic Biomarker
title_short Prediction of Chronic Kidney Disease Stage 3 by CKD273, a Urinary Proteomic Biomarker
title_sort prediction of chronic kidney disease stage 3 by ckd273, a urinary proteomic biomarker
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5669285/
https://www.ncbi.nlm.nih.gov/pubmed/29130072
http://dx.doi.org/10.1016/j.ekir.2017.06.004
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