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Plasma Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Cardiovascular Events in Patients with Chronic Kidney Disease
Background. Our aim was to assess plasma neutrophil gelatinase-associated lipocalin (NGAL) as a predictor of cardiovascular (CV) events in patients with chronic kidney disease (CKD) and no history of CV events. Methods. This was a prospective observational cohort study of 252 patients with predialys...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808666/ https://www.ncbi.nlm.nih.gov/pubmed/27051671 http://dx.doi.org/10.1155/2016/8761475 |
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author | Hasegawa, Midori Ishii, Junichi Kitagawa, Fumihiko Takahashi, Hiroshi Sugiyama, Kazuhiro Tada, Masashi Kanayama, Kyoko Takahashi, Kazuo Hayashi, Hiroki Koide, Shigehisa Nakai, Shigeru Ozaki, Yukio Yuzawa, Yukio |
author_facet | Hasegawa, Midori Ishii, Junichi Kitagawa, Fumihiko Takahashi, Hiroshi Sugiyama, Kazuhiro Tada, Masashi Kanayama, Kyoko Takahashi, Kazuo Hayashi, Hiroki Koide, Shigehisa Nakai, Shigeru Ozaki, Yukio Yuzawa, Yukio |
author_sort | Hasegawa, Midori |
collection | PubMed |
description | Background. Our aim was to assess plasma neutrophil gelatinase-associated lipocalin (NGAL) as a predictor of cardiovascular (CV) events in patients with chronic kidney disease (CKD) and no history of CV events. Methods. This was a prospective observational cohort study of 252 patients with predialysis CKD. CV events were defined as CV death, acute coronary syndrome, and hospitalization for worsening heart failure, stroke, and aortic dissection. Results. During a median follow-up period of 63 months, 36 CV events occurred. On Cox stepwise multivariate analysis, plasma NGAL and B-type natriuretic peptide (BNP) were significant predictors of CV events. Kaplan-Meier incidence rates of CV event-free survival at 5 years were 96.6%, 92.9%, 85.9%, and 61.3%, respectively, among quartiles of plasma NGAL (P < 0.0001). The C-index for the receiver-operating characteristic curves for CV events was greater when plasma NGAL was added to an established risk model (0.801, 95% CI 0.717–0.885), compared to the model without plasma NGAL (0.746, 95% CI 0.653–0.840, P = 0.021). Conclusion. Elevated plasma NGAL could predict future CV events in CKD patients with no history of CV events and add incremental value to the established risk model. |
format | Online Article Text |
id | pubmed-4808666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-48086662016-04-05 Plasma Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Cardiovascular Events in Patients with Chronic Kidney Disease Hasegawa, Midori Ishii, Junichi Kitagawa, Fumihiko Takahashi, Hiroshi Sugiyama, Kazuhiro Tada, Masashi Kanayama, Kyoko Takahashi, Kazuo Hayashi, Hiroki Koide, Shigehisa Nakai, Shigeru Ozaki, Yukio Yuzawa, Yukio Biomed Res Int Research Article Background. Our aim was to assess plasma neutrophil gelatinase-associated lipocalin (NGAL) as a predictor of cardiovascular (CV) events in patients with chronic kidney disease (CKD) and no history of CV events. Methods. This was a prospective observational cohort study of 252 patients with predialysis CKD. CV events were defined as CV death, acute coronary syndrome, and hospitalization for worsening heart failure, stroke, and aortic dissection. Results. During a median follow-up period of 63 months, 36 CV events occurred. On Cox stepwise multivariate analysis, plasma NGAL and B-type natriuretic peptide (BNP) were significant predictors of CV events. Kaplan-Meier incidence rates of CV event-free survival at 5 years were 96.6%, 92.9%, 85.9%, and 61.3%, respectively, among quartiles of plasma NGAL (P < 0.0001). The C-index for the receiver-operating characteristic curves for CV events was greater when plasma NGAL was added to an established risk model (0.801, 95% CI 0.717–0.885), compared to the model without plasma NGAL (0.746, 95% CI 0.653–0.840, P = 0.021). Conclusion. Elevated plasma NGAL could predict future CV events in CKD patients with no history of CV events and add incremental value to the established risk model. Hindawi Publishing Corporation 2016 2016-03-14 /pmc/articles/PMC4808666/ /pubmed/27051671 http://dx.doi.org/10.1155/2016/8761475 Text en Copyright © 2016 Midori Hasegawa et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hasegawa, Midori Ishii, Junichi Kitagawa, Fumihiko Takahashi, Hiroshi Sugiyama, Kazuhiro Tada, Masashi Kanayama, Kyoko Takahashi, Kazuo Hayashi, Hiroki Koide, Shigehisa Nakai, Shigeru Ozaki, Yukio Yuzawa, Yukio Plasma Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Cardiovascular Events in Patients with Chronic Kidney Disease |
title | Plasma Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Cardiovascular Events in Patients with Chronic Kidney Disease |
title_full | Plasma Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Cardiovascular Events in Patients with Chronic Kidney Disease |
title_fullStr | Plasma Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Cardiovascular Events in Patients with Chronic Kidney Disease |
title_full_unstemmed | Plasma Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Cardiovascular Events in Patients with Chronic Kidney Disease |
title_short | Plasma Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Cardiovascular Events in Patients with Chronic Kidney Disease |
title_sort | plasma neutrophil gelatinase-associated lipocalin as a predictor of cardiovascular events in patients with chronic kidney disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808666/ https://www.ncbi.nlm.nih.gov/pubmed/27051671 http://dx.doi.org/10.1155/2016/8761475 |
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