| Literature DB >> 31697817 |
Susanna F Fustolo-Gunnink1,2,3, Karin Fijnvandraat2,4, David van Klaveren5,6, Simon J Stanworth7,8,9, Anna Curley10, Wes Onland11, Ewout W Steyerberg12, Ellen de Kort13, Esther J d'Haens14, Christian V Hulzebos15, Elise J Huisman16, Willem P de Boode17, Enrico Lopriore18, Johanna G van der Bom1,3.
Abstract
The Platelets for Neonatal Thrombocytopenia (PlaNeT-2) trial reported an unexpected overall benefit of a prophylactic platelet transfusion threshold of 25 × 109/L compared with 50 × 109/L for major bleeding and/or mortality in preterm neonates (7% absolute-risk reduction). However, some neonates in the trial may have experienced little benefit or even harm from the 25 × 109/L threshold. We wanted to assess this heterogeneity of treatment effect in the PlaNet-2 trial, to investigate whether all preterm neonates benefit from the low threshold. We developed a multivariate logistic regression model in the PlaNet-2 data to predict baseline risk of major bleeding and/or mortality for all 653 neonates. We then ranked the neonates based on their predicted baseline risk and categorized them into 4 risk quartiles. Within these quartiles, we assessed absolute-risk difference between the 50 × 109/L- and 25 × 109/L-threshold groups. A total of 146 neonates died or developed major bleeding. The internally validated C-statistic of the model was 0.63 (95% confidence interval, 0.58-0.68). The 25 × 109/L threshold was associated with absolute-risk reduction in all risk groups, varying from 4.9% in the lowest risk group to 12.3% in the highest risk group. These results suggest that a 25 × 109/L prophylactic platelet count threshold can be adopted in all preterm neonates, irrespective of predicted baseline outcome risk. Future studies are needed to improve the predictive accuracy of the baseline risk model. This trial was registered at www.isrctn.com as #ISRCTN87736839.Entities:
Mesh:
Year: 2019 PMID: 31697817 PMCID: PMC6933290 DOI: 10.1182/blood.2019000899
Source DB: PubMed Journal: Blood ISSN: 0006-4971 Impact factor: 22.113