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Biomarkers and Predictors of Adverse Cardiovascular Events in Different Stages of Chronic Kidney Disease
Chronic kidney disease (CKD) is an important factor that contributes to the increase of all-cause morbidity and mortality in the group of non-communicable diseases, and it is also recognized as a strong and independent risk factor that contributes to cardiovascular disease (CVD). CVDs are a conseque...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478703/ https://www.ncbi.nlm.nih.gov/pubmed/36118679 http://dx.doi.org/10.1177/15593258221127568 |
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author | Stopic, Bojan Medic-Brkic, Branislava Savic-Vujovic, Katarina Davidovic, Zeljko Todorovic, Jovana Dimkovic, Nada |
author_facet | Stopic, Bojan Medic-Brkic, Branislava Savic-Vujovic, Katarina Davidovic, Zeljko Todorovic, Jovana Dimkovic, Nada |
author_sort | Stopic, Bojan |
collection | PubMed |
description | Chronic kidney disease (CKD) is an important factor that contributes to the increase of all-cause morbidity and mortality in the group of non-communicable diseases, and it is also recognized as a strong and independent risk factor that contributes to cardiovascular disease (CVD). CVDs are a consequence of the action of a large number of risk factors among which are traditional and non-traditional. These risk factors have been the subject of a large number of studies which partially explained the unfavorable cardiovascular (CV) outcome of CKD patients. Therefore, valid studies about clinical and biohumoral predictors are of particular importance, especially in the early stages of renal disease, that is, in patients with creatinine clearance below 60 ml/min/1.73 m(2) when preventive measures are most effective. Among potential predictors of adverse CV outcome are biomarkers of inflammation (Interleukin-18—IL-18), oxidative stress (ischemia-modified albumin—IMA; superoxide dismutase—SOD), acute kidney injury (kidney injury molecule-1—KIM-1; neutrophil gelatinase–associated lipocalin—NGAL), and microribonucleic acids (specific microRNA-133a). In this review, we tried to confirm the relationship between risk factors of CKD and CVD and newer, less frequently examined biomarkers with the occurrence of incidental CV events in renal patients. |
format | Online Article Text |
id | pubmed-9478703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-94787032022-09-17 Biomarkers and Predictors of Adverse Cardiovascular Events in Different Stages of Chronic Kidney Disease Stopic, Bojan Medic-Brkic, Branislava Savic-Vujovic, Katarina Davidovic, Zeljko Todorovic, Jovana Dimkovic, Nada Dose Response Inflammatory Parameters as Early Biomarkers in Prediction and Monitoring of Therapeutic Effects in Preclinical and Clinical Studies Chronic kidney disease (CKD) is an important factor that contributes to the increase of all-cause morbidity and mortality in the group of non-communicable diseases, and it is also recognized as a strong and independent risk factor that contributes to cardiovascular disease (CVD). CVDs are a consequence of the action of a large number of risk factors among which are traditional and non-traditional. These risk factors have been the subject of a large number of studies which partially explained the unfavorable cardiovascular (CV) outcome of CKD patients. Therefore, valid studies about clinical and biohumoral predictors are of particular importance, especially in the early stages of renal disease, that is, in patients with creatinine clearance below 60 ml/min/1.73 m(2) when preventive measures are most effective. Among potential predictors of adverse CV outcome are biomarkers of inflammation (Interleukin-18—IL-18), oxidative stress (ischemia-modified albumin—IMA; superoxide dismutase—SOD), acute kidney injury (kidney injury molecule-1—KIM-1; neutrophil gelatinase–associated lipocalin—NGAL), and microribonucleic acids (specific microRNA-133a). In this review, we tried to confirm the relationship between risk factors of CKD and CVD and newer, less frequently examined biomarkers with the occurrence of incidental CV events in renal patients. SAGE Publications 2022-09-14 /pmc/articles/PMC9478703/ /pubmed/36118679 http://dx.doi.org/10.1177/15593258221127568 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Inflammatory Parameters as Early Biomarkers in Prediction and Monitoring of Therapeutic Effects in Preclinical and Clinical Studies Stopic, Bojan Medic-Brkic, Branislava Savic-Vujovic, Katarina Davidovic, Zeljko Todorovic, Jovana Dimkovic, Nada Biomarkers and Predictors of Adverse Cardiovascular Events in Different Stages of Chronic Kidney Disease |
title | Biomarkers and Predictors of Adverse Cardiovascular Events in
Different Stages of Chronic Kidney Disease |
title_full | Biomarkers and Predictors of Adverse Cardiovascular Events in
Different Stages of Chronic Kidney Disease |
title_fullStr | Biomarkers and Predictors of Adverse Cardiovascular Events in
Different Stages of Chronic Kidney Disease |
title_full_unstemmed | Biomarkers and Predictors of Adverse Cardiovascular Events in
Different Stages of Chronic Kidney Disease |
title_short | Biomarkers and Predictors of Adverse Cardiovascular Events in
Different Stages of Chronic Kidney Disease |
title_sort | biomarkers and predictors of adverse cardiovascular events in
different stages of chronic kidney disease |
topic | Inflammatory Parameters as Early Biomarkers in Prediction and Monitoring of Therapeutic Effects in Preclinical and Clinical Studies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478703/ https://www.ncbi.nlm.nih.gov/pubmed/36118679 http://dx.doi.org/10.1177/15593258221127568 |
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