Cargando…

Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ‘’Real-World’’ Analysis

Red cell distribution width (RDW) has been shown to predict adverse outcomes in specific scenarios. We aimed to assess the association between RDW and all-cause death and a clinically relevant composite endpoint in a population with various clinical manifestations of cardiovascular diseases. We retr...

Descripción completa

Detalles Bibliográficos
Autores principales: Talarico, Marisa, Manicardi, Marcella, Vitolo, Marco, Malavasi, Vincenzo Livio, Valenti, Anna Chiara, Sgreccia, Daria, Rossi, Rosario, Boriani, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539630/
https://www.ncbi.nlm.nih.gov/pubmed/34677189
http://dx.doi.org/10.3390/jcdd8100120
_version_ 1784588793489129472
author Talarico, Marisa
Manicardi, Marcella
Vitolo, Marco
Malavasi, Vincenzo Livio
Valenti, Anna Chiara
Sgreccia, Daria
Rossi, Rosario
Boriani, Giuseppe
author_facet Talarico, Marisa
Manicardi, Marcella
Vitolo, Marco
Malavasi, Vincenzo Livio
Valenti, Anna Chiara
Sgreccia, Daria
Rossi, Rosario
Boriani, Giuseppe
author_sort Talarico, Marisa
collection PubMed
description Red cell distribution width (RDW) has been shown to predict adverse outcomes in specific scenarios. We aimed to assess the association between RDW and all-cause death and a clinically relevant composite endpoint in a population with various clinical manifestations of cardiovascular diseases. We retrospectively analyzed 700 patients (median age 72.7 years [interquartile range, IQR, 62.6–80]) admitted to the Cardiology ward between January and November 2016. Patients were divided into tertiles according to baseline RDW values. After a median follow-up of 3.78 years (IQR 3.38–4.03), 153 (21.9%) patients died and 247 (35.3%) developed a composite endpoint (all-cause death, acute coronary syndromes, transient ischemic attack/stroke, and/or thromboembolic events). With multivariate Cox regression analysis, the highest RDW tertile was independently associated with an increased risk of all-cause death (adjusted hazard ratio [HR] 2.73, 95% confidence interval [CI] 1.63–4.56) and of the composite endpoint (adjusted HR 2.23, 95% CI 1.53–3.24). RDW showed a good predictive ability for all-cause death (C-statistics: 0.741, 95% CI 0.694–0.788). In a real-world cohort of patients, we found that higher RDW values were independently associated with an increased risk of all-cause death and clinical adverse cardiovascular events thus proposing RDW as a prognostic marker in cardiovascular patients.
format Online
Article
Text
id pubmed-8539630
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-85396302021-10-24 Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ‘’Real-World’’ Analysis Talarico, Marisa Manicardi, Marcella Vitolo, Marco Malavasi, Vincenzo Livio Valenti, Anna Chiara Sgreccia, Daria Rossi, Rosario Boriani, Giuseppe J Cardiovasc Dev Dis Article Red cell distribution width (RDW) has been shown to predict adverse outcomes in specific scenarios. We aimed to assess the association between RDW and all-cause death and a clinically relevant composite endpoint in a population with various clinical manifestations of cardiovascular diseases. We retrospectively analyzed 700 patients (median age 72.7 years [interquartile range, IQR, 62.6–80]) admitted to the Cardiology ward between January and November 2016. Patients were divided into tertiles according to baseline RDW values. After a median follow-up of 3.78 years (IQR 3.38–4.03), 153 (21.9%) patients died and 247 (35.3%) developed a composite endpoint (all-cause death, acute coronary syndromes, transient ischemic attack/stroke, and/or thromboembolic events). With multivariate Cox regression analysis, the highest RDW tertile was independently associated with an increased risk of all-cause death (adjusted hazard ratio [HR] 2.73, 95% confidence interval [CI] 1.63–4.56) and of the composite endpoint (adjusted HR 2.23, 95% CI 1.53–3.24). RDW showed a good predictive ability for all-cause death (C-statistics: 0.741, 95% CI 0.694–0.788). In a real-world cohort of patients, we found that higher RDW values were independently associated with an increased risk of all-cause death and clinical adverse cardiovascular events thus proposing RDW as a prognostic marker in cardiovascular patients. MDPI 2021-09-26 /pmc/articles/PMC8539630/ /pubmed/34677189 http://dx.doi.org/10.3390/jcdd8100120 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Talarico, Marisa
Manicardi, Marcella
Vitolo, Marco
Malavasi, Vincenzo Livio
Valenti, Anna Chiara
Sgreccia, Daria
Rossi, Rosario
Boriani, Giuseppe
Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ‘’Real-World’’ Analysis
title Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ‘’Real-World’’ Analysis
title_full Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ‘’Real-World’’ Analysis
title_fullStr Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ‘’Real-World’’ Analysis
title_full_unstemmed Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ‘’Real-World’’ Analysis
title_short Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ‘’Real-World’’ Analysis
title_sort red cell distribution width and patient outcome in cardiovascular disease: a ‘’real-world’’ analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539630/
https://www.ncbi.nlm.nih.gov/pubmed/34677189
http://dx.doi.org/10.3390/jcdd8100120
work_keys_str_mv AT talaricomarisa redcelldistributionwidthandpatientoutcomeincardiovasculardiseasearealworldanalysis
AT manicardimarcella redcelldistributionwidthandpatientoutcomeincardiovasculardiseasearealworldanalysis
AT vitolomarco redcelldistributionwidthandpatientoutcomeincardiovasculardiseasearealworldanalysis
AT malavasivincenzolivio redcelldistributionwidthandpatientoutcomeincardiovasculardiseasearealworldanalysis
AT valentiannachiara redcelldistributionwidthandpatientoutcomeincardiovasculardiseasearealworldanalysis
AT sgrecciadaria redcelldistributionwidthandpatientoutcomeincardiovasculardiseasearealworldanalysis
AT rossirosario redcelldistributionwidthandpatientoutcomeincardiovasculardiseasearealworldanalysis
AT borianigiuseppe redcelldistributionwidthandpatientoutcomeincardiovasculardiseasearealworldanalysis