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Prediction of CKD Progression and Cardiovascular Events Using Albuminuria and Pulse Wave Velocity

INTRODUCTION: Chronic kidney disease (CKD) is associated with cardiovascular disease (CVD) and death. Albuminuria is an established risk factor, but additional biomarkers predicting CKD progression or CVD are needed. Arterial stiffness is an easily measurable parameter that has been associated with...

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Autores principales: Carlsen, Rasmus Kirkeskov, Khatir, Dinah Sherzad, Jensen, Danny, Birn, Henrik, Buus, Niels Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: S. Karger AG 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389797/
https://www.ncbi.nlm.nih.gov/pubmed/37279705
http://dx.doi.org/10.1159/000530887
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author Carlsen, Rasmus Kirkeskov
Khatir, Dinah Sherzad
Jensen, Danny
Birn, Henrik
Buus, Niels Henrik
author_facet Carlsen, Rasmus Kirkeskov
Khatir, Dinah Sherzad
Jensen, Danny
Birn, Henrik
Buus, Niels Henrik
author_sort Carlsen, Rasmus Kirkeskov
collection PubMed
description INTRODUCTION: Chronic kidney disease (CKD) is associated with cardiovascular disease (CVD) and death. Albuminuria is an established risk factor, but additional biomarkers predicting CKD progression or CVD are needed. Arterial stiffness is an easily measurable parameter that has been associated with CVD and mortality. We evaluated the ability of carotid-femoral pulse wave velocity (PWV) and urine albumin-creatinine (UAC) ratio to predict CKD progression, cardiovascular events, and mortality in a cohort of CKD patients. METHODS: In CKD stage 3–5 patients, PWV and UAC were measured at baseline. CKD progression was defined as 50% decline in estimated glomerular filtration rate (eGFR), initiation of dialysis, or renal transplantation. A composite endpoint was defined as CKD progression, myocardial infarction, stroke, or death. Endpoints were analyzed using Cox regression analysis adjusted for possible confounders. RESULTS: We included 181 patients (median age 69 [interquartile range 60–75] years, 67% males) with a mean eGFR of 37 ± 12 mL/min/1.73 m(2) and UAC 52 (5–472) mg/g. Mean PWV was 10.6 m/s. Median follow-up until first event was 4 (3–6) years with 44 and 89 patients reaching a CKD progression or composite endpoint, respectively. UAC (g/g) significantly predicted both CKD progression (HR 1.5 [1.2; 1.8]) and composite endpoints (HR 1.4 [1.1; 1.7]) in adjusted Cox regression. In contrast, PWV (m/s) was not associated with neither CKD progression (HR 0.99 [0.84; 1.18]) nor the composite endpoint (HR 1.03 [0.92; 1.15]). CONCLUSION: In an aging CKD population, UAC predicted both CKD progression and a composite endpoint of CKD progression, cardiovascular events, or death, while PWV did not.
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spelling pubmed-103897972023-08-01 Prediction of CKD Progression and Cardiovascular Events Using Albuminuria and Pulse Wave Velocity Carlsen, Rasmus Kirkeskov Khatir, Dinah Sherzad Jensen, Danny Birn, Henrik Buus, Niels Henrik Kidney Blood Press Res Research Article INTRODUCTION: Chronic kidney disease (CKD) is associated with cardiovascular disease (CVD) and death. Albuminuria is an established risk factor, but additional biomarkers predicting CKD progression or CVD are needed. Arterial stiffness is an easily measurable parameter that has been associated with CVD and mortality. We evaluated the ability of carotid-femoral pulse wave velocity (PWV) and urine albumin-creatinine (UAC) ratio to predict CKD progression, cardiovascular events, and mortality in a cohort of CKD patients. METHODS: In CKD stage 3–5 patients, PWV and UAC were measured at baseline. CKD progression was defined as 50% decline in estimated glomerular filtration rate (eGFR), initiation of dialysis, or renal transplantation. A composite endpoint was defined as CKD progression, myocardial infarction, stroke, or death. Endpoints were analyzed using Cox regression analysis adjusted for possible confounders. RESULTS: We included 181 patients (median age 69 [interquartile range 60–75] years, 67% males) with a mean eGFR of 37 ± 12 mL/min/1.73 m(2) and UAC 52 (5–472) mg/g. Mean PWV was 10.6 m/s. Median follow-up until first event was 4 (3–6) years with 44 and 89 patients reaching a CKD progression or composite endpoint, respectively. UAC (g/g) significantly predicted both CKD progression (HR 1.5 [1.2; 1.8]) and composite endpoints (HR 1.4 [1.1; 1.7]) in adjusted Cox regression. In contrast, PWV (m/s) was not associated with neither CKD progression (HR 0.99 [0.84; 1.18]) nor the composite endpoint (HR 1.03 [0.92; 1.15]). CONCLUSION: In an aging CKD population, UAC predicted both CKD progression and a composite endpoint of CKD progression, cardiovascular events, or death, while PWV did not. S. Karger AG 2023-06-06 /pmc/articles/PMC10389797/ /pubmed/37279705 http://dx.doi.org/10.1159/000530887 Text en © 2023 The Author(s). Published by S. Karger AG, Basel https://creativecommons.org/licenses/by-nc/4.0/This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribution for commercial purposes requires written permission.
spellingShingle Research Article
Carlsen, Rasmus Kirkeskov
Khatir, Dinah Sherzad
Jensen, Danny
Birn, Henrik
Buus, Niels Henrik
Prediction of CKD Progression and Cardiovascular Events Using Albuminuria and Pulse Wave Velocity
title Prediction of CKD Progression and Cardiovascular Events Using Albuminuria and Pulse Wave Velocity
title_full Prediction of CKD Progression and Cardiovascular Events Using Albuminuria and Pulse Wave Velocity
title_fullStr Prediction of CKD Progression and Cardiovascular Events Using Albuminuria and Pulse Wave Velocity
title_full_unstemmed Prediction of CKD Progression and Cardiovascular Events Using Albuminuria and Pulse Wave Velocity
title_short Prediction of CKD Progression and Cardiovascular Events Using Albuminuria and Pulse Wave Velocity
title_sort prediction of ckd progression and cardiovascular events using albuminuria and pulse wave velocity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389797/
https://www.ncbi.nlm.nih.gov/pubmed/37279705
http://dx.doi.org/10.1159/000530887
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