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Full blood count as potential predictor of outcomes in patients undergoing cardiac resynchronization therapy

Almost a third of patients fulfilling current guidelines criteria have suboptimal responses following cardiac resynchronization therapy (CRT). Circulating biomarkers may help identify these patients. We aimed to assess the predictive role of full blood count (FBC) parameters in prognosis of heart fa...

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Autores principales: Papageorgiou, Nikolaos, Falconer, Debbie, Ioannou, Adam, Wongwarawipat, Tanakal, Barra, Sergio, Tousoulis, Dimitris, Lim, Wei Yao, Khan, Fakhar Z., Ahsan, Syed, Muthumala, Amal, Hunter, Ross J., Finlay, Malcolm, Creta, Antonio, Rowland, Edward, Lowe, Martin, Segal, Oliver R., Schilling, Richard J., Lambiase, Pier D., Chow, Anthony W., Providência, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736835/
https://www.ncbi.nlm.nih.gov/pubmed/31506584
http://dx.doi.org/10.1038/s41598-019-49659-z
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author Papageorgiou, Nikolaos
Falconer, Debbie
Ioannou, Adam
Wongwarawipat, Tanakal
Barra, Sergio
Tousoulis, Dimitris
Lim, Wei Yao
Khan, Fakhar Z.
Ahsan, Syed
Muthumala, Amal
Hunter, Ross J.
Finlay, Malcolm
Creta, Antonio
Rowland, Edward
Lowe, Martin
Segal, Oliver R.
Schilling, Richard J.
Lambiase, Pier D.
Chow, Anthony W.
Providência, Rui
author_facet Papageorgiou, Nikolaos
Falconer, Debbie
Ioannou, Adam
Wongwarawipat, Tanakal
Barra, Sergio
Tousoulis, Dimitris
Lim, Wei Yao
Khan, Fakhar Z.
Ahsan, Syed
Muthumala, Amal
Hunter, Ross J.
Finlay, Malcolm
Creta, Antonio
Rowland, Edward
Lowe, Martin
Segal, Oliver R.
Schilling, Richard J.
Lambiase, Pier D.
Chow, Anthony W.
Providência, Rui
author_sort Papageorgiou, Nikolaos
collection PubMed
description Almost a third of patients fulfilling current guidelines criteria have suboptimal responses following cardiac resynchronization therapy (CRT). Circulating biomarkers may help identify these patients. We aimed to assess the predictive role of full blood count (FBC) parameters in prognosis of heart failure (HF) patients undergoing CRT device implantation. We enrolled 612 consecutive CRT patients and FBC was measured within 24 hours prior to implantation. The follow-up period was a median of 1652 days (IQR: 837–2612). The study endpoints were i) composite of all-cause mortality or transplant, and ii) reverse left ventricular (LV) remodeling. On multivariate analysis [hazard ratio (HR), 95% confidence interval (CI)] only red cell count (RCC) (p = 0.004), red cell distribution width (RDW) (p < 0.001), percentage of lymphocytes (p = 0.03) and platelet count (p < 0.001) predicted all-cause mortality. Interestingly, RDW (p = 0.004) and platelet count (p = 0.008) were independent predictors of reverse LV remodeling. This is the first powered single-centre study to demonstrate that RDW and platelet count are independent predictors of long-term all-cause mortality and/or heart transplant in CRT patients. Further studies, on the role of these parameters in enhancing patient selection for CRT implantation should be conducted to confirm our findings.
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spelling pubmed-67368352019-09-20 Full blood count as potential predictor of outcomes in patients undergoing cardiac resynchronization therapy Papageorgiou, Nikolaos Falconer, Debbie Ioannou, Adam Wongwarawipat, Tanakal Barra, Sergio Tousoulis, Dimitris Lim, Wei Yao Khan, Fakhar Z. Ahsan, Syed Muthumala, Amal Hunter, Ross J. Finlay, Malcolm Creta, Antonio Rowland, Edward Lowe, Martin Segal, Oliver R. Schilling, Richard J. Lambiase, Pier D. Chow, Anthony W. Providência, Rui Sci Rep Article Almost a third of patients fulfilling current guidelines criteria have suboptimal responses following cardiac resynchronization therapy (CRT). Circulating biomarkers may help identify these patients. We aimed to assess the predictive role of full blood count (FBC) parameters in prognosis of heart failure (HF) patients undergoing CRT device implantation. We enrolled 612 consecutive CRT patients and FBC was measured within 24 hours prior to implantation. The follow-up period was a median of 1652 days (IQR: 837–2612). The study endpoints were i) composite of all-cause mortality or transplant, and ii) reverse left ventricular (LV) remodeling. On multivariate analysis [hazard ratio (HR), 95% confidence interval (CI)] only red cell count (RCC) (p = 0.004), red cell distribution width (RDW) (p < 0.001), percentage of lymphocytes (p = 0.03) and platelet count (p < 0.001) predicted all-cause mortality. Interestingly, RDW (p = 0.004) and platelet count (p = 0.008) were independent predictors of reverse LV remodeling. This is the first powered single-centre study to demonstrate that RDW and platelet count are independent predictors of long-term all-cause mortality and/or heart transplant in CRT patients. Further studies, on the role of these parameters in enhancing patient selection for CRT implantation should be conducted to confirm our findings. Nature Publishing Group UK 2019-09-10 /pmc/articles/PMC6736835/ /pubmed/31506584 http://dx.doi.org/10.1038/s41598-019-49659-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Papageorgiou, Nikolaos
Falconer, Debbie
Ioannou, Adam
Wongwarawipat, Tanakal
Barra, Sergio
Tousoulis, Dimitris
Lim, Wei Yao
Khan, Fakhar Z.
Ahsan, Syed
Muthumala, Amal
Hunter, Ross J.
Finlay, Malcolm
Creta, Antonio
Rowland, Edward
Lowe, Martin
Segal, Oliver R.
Schilling, Richard J.
Lambiase, Pier D.
Chow, Anthony W.
Providência, Rui
Full blood count as potential predictor of outcomes in patients undergoing cardiac resynchronization therapy
title Full blood count as potential predictor of outcomes in patients undergoing cardiac resynchronization therapy
title_full Full blood count as potential predictor of outcomes in patients undergoing cardiac resynchronization therapy
title_fullStr Full blood count as potential predictor of outcomes in patients undergoing cardiac resynchronization therapy
title_full_unstemmed Full blood count as potential predictor of outcomes in patients undergoing cardiac resynchronization therapy
title_short Full blood count as potential predictor of outcomes in patients undergoing cardiac resynchronization therapy
title_sort full blood count as potential predictor of outcomes in patients undergoing cardiac resynchronization therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736835/
https://www.ncbi.nlm.nih.gov/pubmed/31506584
http://dx.doi.org/10.1038/s41598-019-49659-z
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