Risk models predicting survival after reduced-intensity transplantation for myelofibrosis

Alchalby, Haefaa and Yunus, Dinah-Rohina and Zabelina, Tatjana and Kobbe, Guido and Holler, Ernst and Bornhaeuser, Martin and Schwerdtfeger, Rainer and Bethge, Wolfgang and Kvasnicka, Hans Michael and Buesche, Guntram and Ayuk, Francis and Bacher, Ulrike and Zander, Axel. R. and Kroeger, Nicolaus (2012) Risk models predicting survival after reduced-intensity transplantation for myelofibrosis. BRITISH JOURNAL OF HAEMATOLOGY, 157 (1). pp. 75-85. ISSN 0007-1048,

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Abstract

To define a prognostic model for predicting outcome of reduced-intensity allogeneic stem cell transplantation (RIC-ASCT) for myelofibrosis we evaluated 150 homogenously treated patients and developed a new risk score for overall survival (OS). In a multivariate Cox model for OS, only JAK2 V617F wild-type, age =57 years and constitutional symptoms were independently predictive for OS (Hazard Ratio: 22 02; 2 43 and 2 80 respectively). Depending on the presence of one, two or all of these factors, HR of death was 3 08; 4 70 and 16 61 respectively ( P < 0 001). This score was compared to the Lille, Cervantes, International Prognostic Scoring System ( IPSS), dynamic IPSS ( DIPSS) and modified European Blood and Marrow Transplantation Group ( EBMT) scores. Lille score correlated significantly with OS but discriminated poorly between the intermediate and high- risk groups ( 5- year OS 56% and 51% respectively). IPSS and DIPSS correlated significantly with OS but differences between intermediate- 1 and intermediate- 2 groups were not significant ( 5- year OS 78% vs. 78% and 70%, 60% respectively). Modified EBMT and Cervantes models did not predict OS post- ASCT. In conclusion, a simple model which includes: age, JAK2 V617F- status and constitutional symptoms can clearly separate distinct risk groups and can be used in addition to the Lille model to predict OS after RIC- ASCT for myelofibrosis.

Item Type: Article
Uncontrolled Keywords: STEM-CELL TRANSPLANTATION; PROGNOSTIC SCORING SYSTEM; AGNOGENIC MYELOID METAPLASIA; MARROW TRANSPLANTATION; SOCIETE FRANCAISE; LEUKEMIA; GREFFE; MOELLE; BLOOD; risk model; allogeneic stem cell transplantation; myelofibrosis
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Lehrstuhl für Innere Medizin III (Hämatologie und Internistische Onkologie)
Depositing User: Dr. Gernot Deinzer
Date Deposited: 15 May 2020 10:31
Last Modified: 15 May 2020 10:31
URI: https://pred.uni-regensburg.de/id/eprint/18967

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