Validation of the revised IPSS at transplant in patients with myelodysplastic syndrome/transformed acute myelogenous leukemia receiving allogeneic stem cell transplantation: ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-11

AUTHORS

C Scheid, L de Wreede, A van Biezen, C Koenecke, G Göhring, L Volin, J Maertens, J Finke, J Passweg, D Beelen, J J Cornelissen, M Itälä-Remes, P Chevallier, N Russell, E Petersen, N Milpied, C Richard Espiga, A Peniket, J Sierra, G Mufti, C Crawley, J H Veelken, P Ljungman, J Y Cahn, E P Alessandrino, T de Witte, M Robin, N Kröger

ABSTRACT

The International Prognostic Scoring System has been revised (IPSS-R) to predict prognosis of patients with myelodysplastic syndromes at diagnosis. To validate the use of the IPSS-R assessed before transplant rather than at diagnosis we performed a retrospective analysis of the EBMT database. A total of 579 patients had sufficient information available to calculate IPSS-R at transplant. Median overall survival (OS) from transplant was significantly different according to IPSS-R: very low 23.6 months, low 55.0 months, intermediate 19.7 months, high 13.5 months, very high 7.8 months (P<0.001). In a multivariate Cox model the following parameters were significant risk factors for OS: IPSS-R, graft source, age and prior treatment. Median relapse free survival also showed significant differences according to IPSS-R: very low: 23.6 months, low: 24.8 months, intermediate 10.6 months, high 7.9 months, very high 5.5 months (P<0.001). Multivariate risk factors for relapse-free survival (RFS) were: IPSS-R, reduced intensity conditioning, graft source and prior treatment. A trend for an increased relapse incidence was noted for very high risk IPSS-R. We conclude that the IPSS-R at transplant is a useful prognostic score for predicting OS and RFS after transplantation, capturing both disease evolution and response to prior treatment before transplant. More... »

PAGES

1519-1525

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bmt.2017.171

DOI

http://dx.doi.org/10.1038/bmt.2017.171

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091513858

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28892084


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