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Red cell distribution width and risk of cardiovascular mortality: Insights from National Health and Nutrition Examination Survey (NHANES)-III.
Shah, Neeraj; Pahuja, Mohit; Pant, Sadip; Handa, Aman; Agarwal, Vratika; Patel, Nileshkumar; Dusaj, Raman.
Afiliação
  • Shah N; Department of Cardiology, Lehigh Valley Health Network, Allentown, PA, United States. Electronic address: neerajshah86@gmail.com.
  • Pahuja M; Department of Internal Medicine, St. Joseph Hospital and Medical Center, Phoenix, AZ, United States.
  • Pant S; Department of Cardiology, University of Louisville, Louisville, KY, United States.
  • Handa A; Medical Student, Kasturba Medical College, India.
  • Agarwal V; Department of Cardiology, Staten Island University Hospital, Staten Island, NY.
  • Patel N; Department of Cardiology, University of Miami, Miami, FL, United States.
  • Dusaj R; Department of Cardiology, Lehigh Valley Health Network, Allentown, PA, United States.
Int J Cardiol ; 232: 105-110, 2017 Apr 01.
Article em En | MEDLINE | ID: mdl-28117138
INTRODUCTION: Red cell distribution width (RDW) has been linked to cardiovascular disease. We sought to determine whether addition of RDW improved the Framingham risk score (FRS) model to predict cardiovascular mortality in a healthy US cohort. METHODS: We performed a post-hoc analysis of the National Health and Nutritional Examination Survey-III (1988-94) cohort, including non-anemic subjects aged 30-79years. Primary endpoint was death from coronary heart disease (CHD). We divided the cohort into three risk categories: <6%, 6-20% and >20%. RDW>14.5 was considered high. Kaplan-Meier survival curves and Cox proportional hazards models were created. Discrimination, calibration and reclassification were used to assess the value of addition of RDW to the FRS model. RESULTS: We included 7005 subjects with a mean follow up of 14.1years. Overall, there were 233 (3.3%) CHD deaths; 27 (8.2%) in subjects with RDW>14.5 compared to 206 (3.1%) in subjects with RDW≤14.5 (p<0.001). Adjusted hazard ratio of RDW in predicting CHD mortality was 2.02 (1.04-3.94, p=0.039). Addition of RDW to FRS model showed significant improvement in C-statistic (0.8784 vs. 0.8751, p=0.032) and area under curve (0.8565 vs. 0.8544, p=0.05). There was significant reclassification of FRS with a net reclassification index (NRI) of 5.6% (p=0.017), and an intermediate-risk NRI of 9.6% (p=0.011). Absolute integrated discrimination index (IDI) was 0.004 (p=0.02), with relative IDI of 10.4%. CONCLUSIONS: Our study demonstrates that RDW is a promising biomarker which improves prediction of cardiovascular mortality over and above traditional cardiovascular risk factors.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Inquéritos Nutricionais / Medição de Risco / Índices de Eritrócitos / Previsões Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Inquéritos Nutricionais / Medição de Risco / Índices de Eritrócitos / Previsões Idioma: En Ano de publicação: 2017 Tipo de documento: Article