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Measuring Post-transfusion Recovery and Survival of Red Blood Cells: Strengths and Weaknesses of Chromium-51 Labeling and Alternative Methods

Overview of attention for article published in Frontiers in Medicine, May 2018
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Title
Measuring Post-transfusion Recovery and Survival of Red Blood Cells: Strengths and Weaknesses of Chromium-51 Labeling and Alternative Methods
Published in
Frontiers in Medicine, May 2018
DOI 10.3389/fmed.2018.00130
Pubmed ID
Authors

Camille Roussel, Pierre A. Buffet, Pascal Amireault

Abstract

The proportion of transfused red blood cells (RBCs) that remain in circulation is an important surrogate marker of transfusion efficacy and contributes to predict the potential benefit of a transfusion process. Over the last 50 years, most of the transfusion recovery data were generated by chromium-51 (51Cr)-labeling studies and were predominantly performed to validate new storage systems and new processes to prepare RBC concentrates. As a consequence, our understanding of transfusion efficacy is strongly dependent on the strengths and weaknesses of 51Cr labeling in particular. Other methods such as antigen mismatch or biotin-based labeling can bring relevant information, for example, on the long-term survival of transfused RBC. These radioactivity-free methods can be used in patients including from vulnerable groups. We provide an overview of the methods used to measure transfusion recovery in humans, compare their strengths and weaknesses, and discuss their potential limitations. Also, based on our understanding of the spleen-specific filtration of damaged RBC and historical transfusion recovery data, we propose that RBC deformability and morphology are storage lesion markers that could become useful predictors of transfusion recovery. Transfusion recovery can and should be accurately explored by more than one method. Technical optimization and clarification of concepts is still needed in this important field of transfusion and physiology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 12%
Student > Bachelor 3 12%
Lecturer 2 8%
Student > Ph. D. Student 2 8%
Student > Master 1 4%
Other 1 4%
Unknown 13 52%
Readers by discipline Count As %
Immunology and Microbiology 3 12%
Medicine and Dentistry 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Agricultural and Biological Sciences 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 13 52%
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 15 May 2018.
All research outputs
#18,610,562
of 23,053,613 outputs
Outputs from Frontiers in Medicine
#4,031
of 5,817 outputs
Outputs of similar age
#253,026
of 326,925 outputs
Outputs of similar age from Frontiers in Medicine
#86
of 103 outputs
Altmetric has tracked 23,053,613 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,817 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.