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Dynamic prediction of bleeding risk in thrombocytopenic preterm neonates

Authors :
Susanna F. Fustolo-Gunnink
Karin Fijnvandraat
Hein Putter
Isabelle M. Ree
Camila Caram-Deelder
Peter Andriessen
Esther J. d’Haens
Christian V. Hulzebos
Wes Onland
André A. Kroon
Daniël C. Vijlbrief
Enrico Lopriore
Johanna G. van der Bom
Source :
Haematologica, Vol 104, Iss 11 (2019)
Publication Year :
2019
Publisher :
Ferrata Storti Foundation, 2019.

Abstract

Over 75% of severely thrombocytopenic neonates receive platelet transfusions, though little evidence supports this practice, and only 10% develop major bleeding. In a recent randomized trial, giving platelet transfusions at a threshold platelet count of 50x109/L compared to a threshold of 25x109/L was associated with an increased risk of major bleeding or mortality. This finding highlights the need for improved and individualized guidelines on neonatal platelet transfusion, which require accurate prediction of bleeding risk. Therefore, the objective of this study was to develop a dynamic prediction model for major bleeding in thrombocytopenic preterm neonates. This model allows for calculation of bleeding risk at any time-point during the first week after the onset of severe thrombocytopenia. In this multicenter cohort study, we included neonates with a gestational age

Details

Language :
English
ISSN :
03906078 and 15928721
Volume :
104
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Haematologica
Publication Type :
Academic Journal
Accession number :
edsdoj.10e2bb69285243de8e1ef3c5ba0357d8
Document Type :
article
Full Text :
https://doi.org/10.3324/haematol.2018.208595