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Measurement of the Red Blood Cell Distribution Width Improves the Risk Prediction in Cardiac Resynchronization Therapy

Objectives. Increases in red blood cell distribution width (RDW) and NT-proBNP (N-terminal pro-B-type natriuretic peptide) predict the mortality of chronic heart failure patients undergoing cardiac resynchronization therapy (CRT). It was hypothesized that RDW is independent of and possibly even supe...

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Autores principales: Boros, András Mihály, Perge, Péter, Jenei, Zsigmond, Karády, Júlia, Zima, Endre, Molnár, Levente, Becker, Dávid, Gellér, László, Prohászka, Zoltán, Merkely, Béla, Széplaki, Gábor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4745303/
https://www.ncbi.nlm.nih.gov/pubmed/26903690
http://dx.doi.org/10.1155/2016/7304538
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author Boros, András Mihály
Perge, Péter
Jenei, Zsigmond
Karády, Júlia
Zima, Endre
Molnár, Levente
Becker, Dávid
Gellér, László
Prohászka, Zoltán
Merkely, Béla
Széplaki, Gábor
author_facet Boros, András Mihály
Perge, Péter
Jenei, Zsigmond
Karády, Júlia
Zima, Endre
Molnár, Levente
Becker, Dávid
Gellér, László
Prohászka, Zoltán
Merkely, Béla
Széplaki, Gábor
author_sort Boros, András Mihály
collection PubMed
description Objectives. Increases in red blood cell distribution width (RDW) and NT-proBNP (N-terminal pro-B-type natriuretic peptide) predict the mortality of chronic heart failure patients undergoing cardiac resynchronization therapy (CRT). It was hypothesized that RDW is independent of and possibly even superior to NT-proBNP from the aspect of long-term mortality prediction. Design. The blood counts and serum NT-proBNP levels of 134 patients undergoing CRT were measured. Multivariable Cox regression models were applied and reclassification analyses were performed. Results. After separate adjustment to the basic model of left bundle branch block, beta blocker therapy, and serum creatinine, both the RDW > 13.35% and NT-proBNP > 1975 pg/mL predicted the 5-year mortality (n = 57). In the final model including all variables, the RDW [HR = 2.49 (1.27–4.86); p = 0.008] remained a significant predictor, whereas the NT-proBNP [HR = 1.18 (0.93–3.51); p = 0.07] lost its predictive value. On addition of the RDW measurement, a 64% net reclassification improvement and a 3% integrated discrimination improvement were achieved over the NT-proBNP-adjusted basic model. Conclusions. Increased RDW levels accurately predict the long-term mortality of CRT patients independently of NT-proBNP. Reclassification analysis revealed that the RDW improves the risk stratification and could enhance the optimal patient selection for CRT.
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spelling pubmed-47453032016-02-22 Measurement of the Red Blood Cell Distribution Width Improves the Risk Prediction in Cardiac Resynchronization Therapy Boros, András Mihály Perge, Péter Jenei, Zsigmond Karády, Júlia Zima, Endre Molnár, Levente Becker, Dávid Gellér, László Prohászka, Zoltán Merkely, Béla Széplaki, Gábor Dis Markers Research Article Objectives. Increases in red blood cell distribution width (RDW) and NT-proBNP (N-terminal pro-B-type natriuretic peptide) predict the mortality of chronic heart failure patients undergoing cardiac resynchronization therapy (CRT). It was hypothesized that RDW is independent of and possibly even superior to NT-proBNP from the aspect of long-term mortality prediction. Design. The blood counts and serum NT-proBNP levels of 134 patients undergoing CRT were measured. Multivariable Cox regression models were applied and reclassification analyses were performed. Results. After separate adjustment to the basic model of left bundle branch block, beta blocker therapy, and serum creatinine, both the RDW > 13.35% and NT-proBNP > 1975 pg/mL predicted the 5-year mortality (n = 57). In the final model including all variables, the RDW [HR = 2.49 (1.27–4.86); p = 0.008] remained a significant predictor, whereas the NT-proBNP [HR = 1.18 (0.93–3.51); p = 0.07] lost its predictive value. On addition of the RDW measurement, a 64% net reclassification improvement and a 3% integrated discrimination improvement were achieved over the NT-proBNP-adjusted basic model. Conclusions. Increased RDW levels accurately predict the long-term mortality of CRT patients independently of NT-proBNP. Reclassification analysis revealed that the RDW improves the risk stratification and could enhance the optimal patient selection for CRT. Hindawi Publishing Corporation 2016 2016-01-19 /pmc/articles/PMC4745303/ /pubmed/26903690 http://dx.doi.org/10.1155/2016/7304538 Text en Copyright © 2016 András Mihály Boros 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
Boros, András Mihály
Perge, Péter
Jenei, Zsigmond
Karády, Júlia
Zima, Endre
Molnár, Levente
Becker, Dávid
Gellér, László
Prohászka, Zoltán
Merkely, Béla
Széplaki, Gábor
Measurement of the Red Blood Cell Distribution Width Improves the Risk Prediction in Cardiac Resynchronization Therapy
title Measurement of the Red Blood Cell Distribution Width Improves the Risk Prediction in Cardiac Resynchronization Therapy
title_full Measurement of the Red Blood Cell Distribution Width Improves the Risk Prediction in Cardiac Resynchronization Therapy
title_fullStr Measurement of the Red Blood Cell Distribution Width Improves the Risk Prediction in Cardiac Resynchronization Therapy
title_full_unstemmed Measurement of the Red Blood Cell Distribution Width Improves the Risk Prediction in Cardiac Resynchronization Therapy
title_short Measurement of the Red Blood Cell Distribution Width Improves the Risk Prediction in Cardiac Resynchronization Therapy
title_sort measurement of the red blood cell distribution width improves the risk prediction in cardiac resynchronization therapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4745303/
https://www.ncbi.nlm.nih.gov/pubmed/26903690
http://dx.doi.org/10.1155/2016/7304538
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