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Red cell distribution width (RDW) as a biomarker for respiratory failure in a pediatric ICU

Overview of attention for article published in Journal of Inflammation, June 2017
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Title
Red cell distribution width (RDW) as a biomarker for respiratory failure in a pediatric ICU
Published in
Journal of Inflammation, June 2017
DOI 10.1186/s12950-017-0160-9
Pubmed ID
Authors

Tom Schepens, Jozef J. De Dooy, Walter Verbrugghe, Philippe G. Jorens

Abstract

The red cell distribution width (RDW) is a widely available, inexpensive, and highly reproducible test that reflects the range of the red cell sizes. Any process that releases reticulocytes in the circulation will result in an increase in RDW. Elevated RDW values are linked to worsened pulmonary function in the adult population. We performed a retrospective cohort study to describe the association between RDW and respiratory failure in critically ill children in a in a pediatric intensive care unit (PICU) in a tertiary university hospital. All patients admitted between January 2009 and June 2015 were considered eligible for inclusion. Retrospective cohort study. In total, 960 patients were included in the cohort analysis. Of those patients, 149 (15.5%) had elevated RDW values. RDW on admission was associated with lower 28 day ventilator-free days. The highest quintile of RDW was associated with the need for mechanical ventilation, even when correcting for anaemia, age and Pediatric Risk of Mortality (PRISM) scores. In the subgroup of ventilated patients, RDW was associated with nadir PaO2/FiO2(P/F) ratios. The RDW value on admission of our PICU patients is associated with a greater need for invasive mechanical ventilation, lower 28 day ventilator-free days and lower nadir P/F ratios in the patients with highest RDW values on admission. RDW may be a valuable, cheap and universally available, prognostic parameter for respiratory dysfunction in the PICU.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 15%
Other 3 8%
Lecturer 3 8%
Researcher 3 8%
Student > Doctoral Student 2 5%
Other 7 18%
Unknown 15 38%
Readers by discipline Count As %
Medicine and Dentistry 16 41%
Environmental Science 2 5%
Nursing and Health Professions 2 5%
Computer Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 5%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 June 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from Journal of Inflammation
#278
of 425 outputs
Outputs of similar age
#255,263
of 331,588 outputs
Outputs of similar age from Journal of Inflammation
#5
of 7 outputs
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