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

Marisa Talarico, Marcella Manicardi, Marco Vitolo, Vincenzo Livio Malavasi, Anna Chiara Valenti, Daria Sgreccia, Rosario Rossi, Giuseppe Boriani

2021Journal of Cardiovascular Development and Disease28 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Interquartile rangeMedicineHazard ratioRed blood cell distribution widthInternal medicineProportional hazards modelClinical endpointStroke (engine)Confidence intervalMyocardial infarctionCohortFramingham Risk ScorePopulationCardiologyDiseaseClinical trialEnvironmental healthMechanical engineeringEngineeringInflammatory Biomarkers in Disease PrognosisAdipokines, Inflammation, and Metabolic DiseasesBiomarkers in Disease Mechanisms
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