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Revised International Prognostic Scoring System for Myelodysplastic Syndromes
ISSN
1528-0020
0006-4971
Date Issued
2012
Author(s)
Greenberg, Peter L.
Tuechler, Heinz
Sanz, Guillermo F.
Garcia-Manero, Guillermo
Sole, Francesc
Bennett, John M.
Bowen, David
Fenaux, Pierre
Dreyfus, Francois
Kantarjian, Hagop M.
Kuendgen, Andrea
Levis, Alessandro
Malcovati, Luca
Cazzola, Mario
Cermak, Jaroslav
Fonatsch, Christa
Le Beau, Michelle M.
Slovak, Marilyn L.
Krieger, Otto
Luebbert, Michael
Maciejewski, Jaroslaw P.
Magalhaes, Silvia M. M.
Miyazaki, Yasushi
Pfeilstoecker, Michael
Sekeres, Mikkael A.
Sperr, Wolfgang R.
Stauder, Reinhard
Tauro, Sudhir
Valent, Peter
Vallespi, Teresa
van de Loosdrecht, Arjan A.
Germing, Ulrich
DOI
10.1182/blood-2012-03-420489
Abstract
The International Prognostic Scoring Sytem (IPSS) is an important standard for ssessing prognosis of primary untreated adult patients with myelodysplastic syndromes (MDS). To refine the IPSS, MDS patient databases from international institutions were coalesced to assemble a much larger combined database (Revised-IPSS [IPSS-R], n = 7012, IPSS, n = 816) for analysis. Multiple statistically weighted clinical features were used to generate a prognostic categorization model. Bone marrow cytogenetics, marrow blast percentage, and cytopenias remained the basis of the new system. Novel components of the current analysis included: 5 rather than 3 cytogenetic prognostic subgroups with specific and new classifications of a number of less common cytogenetic subsets, splitting the low marrow blast percentage value, and depth of cytopenias. This model defined 5 rather than the 4 major prognostic categories that are present in the IPSS. Patient age, performance status, serum ferritin, and lactate dehydrogenase were significant additive features for survival but not for acute myeloid leukemia transformation. This system comprehensively integrated the numerous known clinical features into a method analyzing MDS patient prognosis more precisely than the initial IPSS. As such, this IPSS-R should prove beneficial for predicting the clinical outcomes of untreated MDS patients and aiding design and analysis of clinical trials in this disease. (Blood. 2012;120(12):2454-2465)