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Erythrocyte Adherence to Endothelium in Sickle-Cell Anemia: A Possible Determinant of Disease Severity

Hebbel, Robert P., Boogaerts, Marc A. B., Eaton, John W., Steinberg, Martin H.·1980·New England Journal of Medicine

Abstract

We studied 33 patients with sickle-cell anemia to examine the possible relation between the severity of their disease (frequency of microvascular occlusions) and the abnormal adherence of sickle erythrocytes to cultured human endothelium. Neither clinical severity nor erythrocyte adherence correlates significantly with red-cell indexes, hemoglobin concentration, percentage of irreversibly sickled red cells, level of fetal hemoglobin, or reticulocyte count. However, clinical severity and erythrocyte adherence are strongly correlated (rank correlation coefficient = +0.666; P less than 0.001). These findings are consistent with the hypothesis that abnormal interactions between erythrocytes and endothelium may be the initiating factor in the development of microvascular occlusions in sickle-cell anemia.

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Metadata

Authors
Hebbel, R. P., Boogaerts, M. A. B., Eaton, J. W., & Steinberg, M. H.
Venue
New England Journal of Medicine
Published
1980-05
Volume
302
Issue
18
Pages
992-995
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2083399493
Cited by
518
References
0
FWCI
6.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Erythrocyte Adherence to Endothelium in Sickle-Cell Anemia: A Possible Determinant of Disease Severity. https://app.cochat.ai/papers/10.1056/nejm198005013021803
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Hebbel, R. P., Boogaerts, M. A. B., Eaton, J. W., & Steinberg, M. H. (1980). Erythrocyte Adherence to Endothelium in Sickle-Cell Anemia: A Possible Determinant of Disease Severity. New England Journal of Medicine. https://doi.org/10.1056/nejm198005013021803

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.