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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Journal of Cardiovascular Development and Disease |
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| Online Access: | https://www.mdpi.com/2308-3425/8/10/120 |
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| author | Marisa Talarico Marcella Manicardi Marco Vitolo Vincenzo Livio Malavasi Anna Chiara Valenti Daria Sgreccia Rosario Rossi Giuseppe Boriani |
| author_facet | Marisa Talarico Marcella Manicardi Marco Vitolo Vincenzo Livio Malavasi Anna Chiara Valenti Daria Sgreccia Rosario Rossi Giuseppe Boriani |
| author_sort | Marisa Talarico |
| collection | DOAJ |
| 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 <i>2.23,</i> 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. |
| first_indexed | 2024-03-10T06:29:13Z |
| format | Article |
| id | doaj.art-c680f335454c4ad1ba37098702e5d5e6 |
| institution | Directory Open Access Journal |
| issn | 2308-3425 |
| language | English |
| last_indexed | 2024-03-10T06:29:13Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Cardiovascular Development and Disease |
| spelling | doaj.art-c680f335454c4ad1ba37098702e5d5e62023-11-22T18:40:18ZengMDPI AGJournal of Cardiovascular Development and Disease2308-34252021-09-0181012010.3390/jcdd8100120Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ‘’Real-World’’ AnalysisMarisa Talarico0Marcella Manicardi1Marco Vitolo2Vincenzo Livio Malavasi3Anna Chiara Valenti4Daria Sgreccia5Rosario Rossi6Giuseppe Boriani7Department of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, ItalyDepartment of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, ItalyDepartment of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, ItalyDepartment of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, ItalyDepartment of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, ItalyDepartment of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, ItalyDepartment of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, ItalyDepartment of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, ItalyRed 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 <i>2.23,</i> 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.https://www.mdpi.com/2308-3425/8/10/120red cell distribution widthRDWoutcomecardiovascular diseasestrokebiomarkers |
| spellingShingle | Marisa Talarico Marcella Manicardi Marco Vitolo Vincenzo Livio Malavasi Anna Chiara Valenti Daria Sgreccia Rosario Rossi Giuseppe Boriani Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ‘’Real-World’’ Analysis Journal of Cardiovascular Development and Disease red cell distribution width RDW outcome cardiovascular disease stroke biomarkers |
| 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 | red cell distribution width RDW outcome cardiovascular disease stroke biomarkers |
| url | https://www.mdpi.com/2308-3425/8/10/120 |
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