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Red blood cell distribution width as a prognostic marker in patients with heart failure and diabetes mellitus

Overview of attention for article published in Cardiovascular Diabetology, July 2017
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Title
Red blood cell distribution width as a prognostic marker in patients with heart failure and diabetes mellitus
Published in
Cardiovascular Diabetology, July 2017
DOI 10.1186/s12933-017-0563-1
Pubmed ID
Authors

Andrew Xanthopoulos, Gregory Giamouzis, Andreas Melidonis, Takeshi Kitai, Efi Paraskevopoulou, Pinelopi Paraskevopoulou, Sotirios Patsilinakos, Filippos Triposkiadis, John Skoularigis

Abstract

Red blood cell distribution width (RDW) is an established prognostic marker in acute and chronic heart failure (HF). Recent studies have pointed out a link among RDW, diabetes mellitus (DM) and inflammation. We sought to investigate the prognostic value and longitudinal pattern of RDW in patients with concomitant HF and DM, which remains unknown. A total of 218 patients (71 diabetics) who presented with acute HF had RDW measured at admission, discharge and 4, 8 and 12 months post-discharge. The study endpoint was all-cause mortality or rehospitalization for HF during 1-year follow-up. The study endpoint was met in 33 patients (46.5%) with DM and in 54 patients (36.7%) without DM. RDW at admission was associated with higher event rate both in HF patients with and without DM (adjusted HR: 1.349, p = 0.002, 95% CI 1.120-1.624 and adjusted HR: 1.142, p = 0.033, 95% CI 1.011-1.291 respectively). In addition, a significant interaction was found between diabetes and RDW longitudinal changes (βinteraction = -0.002; SE = 0.001; p = 0.042). Despite the similar prognostic significance of RDW in diabetic and non-diabetic HF patients regarding the study endpoint, longitudinal changes were found to be significantly different between these two groups of HF patients. This might be due to the higher inflammatory burden that diabetic HF patients carry and may provide new insights to the pathophysiological mechanism of RDW increase in HF, which remains unknown.

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Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Other 13 17%
Student > Postgraduate 9 12%
Student > Doctoral Student 9 12%
Student > Master 8 10%
Student > Ph. D. Student 5 6%
Other 11 14%
Unknown 23 29%
Readers by discipline Count As %
Medicine and Dentistry 32 41%
Biochemistry, Genetics and Molecular Biology 4 5%
Unspecified 2 3%
Neuroscience 2 3%
Immunology and Microbiology 2 3%
Other 5 6%
Unknown 31 40%