Despite multiple disparate prognostic risk analysis systems for evalua
ting clinical outcome for patients with myelodysplastic syndrome (MDS)
, imprecision persists with such analyses. To attempt to improve on th
ese systems, an International MDS Risk Analysis Workshop combined cyto
genetic, morphological, and clinical data from seven large previously
reported risk-based studies that had generated prognostic systems. A g
lobal analysis was performed on these patients, and critical prognosti
c variables were re-evaluated to generate a consensus prognostic syste
m, particularly using a more refined bone marrow (BM) cytogenetic clas
sification. Univariate analysis indicated that the major variables hav
ing an impact on disease outcome for evolution to acute myeloid leukem
ia were cytogenetic abnormalities, percentage of BM myeloblasts, and n
umber of cytopenias; for survival, in addition to the above, variables
also included age and gender. Cytogenetic subgroups of outcome were a
s follows: ''good'' outcomes were normal, -Y alone, del(5q) alone, del
(20q) alone; ''poor'' outcomes were complex (ie, greater than or equal
to 3 abnormalities) or chromosome 7 anomalies; and ''intermediate'' o
utcomes were other abnormalities. Multivariate analysis combined these
cytogenetic subgroups with percentage of BM blasts and number of cyto
penias to generate a prognostic model. Weighting these variables by th
eir statistical power separated patients into distinctive subgroups of
risk for 25% of patients to undergo evolution to acute myeloid leukem
ia, with: low (31% of patients), 9.4 years; intermediate-1 (INT-1; 39%
), 3.3 years; INT-2 (22%), 1.1 years; and high (8%), 0.2 year. These f
eatures also separated patients into similar distinctive risk groups f
or median survival: low, 5.7 years; INT-1, 3.5 years; INT-2, 1.2 years
; and high, 0.4 year. Stratification for age further improved analysis
of survival. Compared with prior risk-based classifications, this Int
ernational Prognostic Scoring System provides an improved method for e
valuating prognosis in MDS. This classification system should prove us
eful for more precise design and analysis of therapeutic trials in thi
s disease. (C) 1997 by The American Society of Hematology.