Literature DB >> 1736014

Primary myelodysplastic syndromes: analysis of prognostic factors in 235 patients and proposals for an improved scoring system.

C Aul1, N Gattermann, A Heyll, U Germing, G Derigs, W Schneider.   

Abstract

In an attempt to identify prognostic factors for survival and leukemic transformation, 235 untreated patients with primary myelodysplastic syndromes (MDS) were analyzed in a single center retrospective study. To the well known FAB classification of MDS a supplementary group of patients with pure sideroblastic anemia (PSA) was added, characterized by the absence of dysplastic features of non-erythroid cells. Accordingly, the morphological subtypes were refractory anemia (RA), n = 55; PSA, n = 40; RA with ring sideroblasts (RARS), n = 33; RA with excess of blasts (RAEB), n = 53; RAEB in transformation (RAEB/T) n = 29; and chronic myelomonocytic leukemia (CMML), n = 25. Having screened 28 clinical, cytological, and laboratory parameters by univariate analysis, multiple regression analysis identified six variables with independent prognostic value: percentage of bone marrow blasts, serum LDH activity, PSA, hemoglobin concentration, age, and platelet count. If patients with PSA were excluded, the FAB classification no longer contributed independent prognostic information. Based on the results of this multivariate analysis, a simple scoring system was devised for predicting the survival of patients with MDS. A score of unity was allocated to each of the following parameters: bone marrow blasts greater than or equal to 5%, LDH greater than 200 U/I, hemoglobin less than or equal to 9 g/dl, and platelets less than or equal to 100 x 10(9)/I. As a function of their total score, patients were divided into three risk groups (group A, score 0; group B, score 1-2; group C, score 3-4), which differed significantly in both survival and rates of leukemic transformation. The cumulative survival 2 years after diagnosis was 91% in group A, 52% in group B, and 9% in group C (p less than 0.00005). The actuarial risk of transformation to acute myeloid leukemia at 2 years was 0, 19, and 54%, respectively (p less than 0.05). The inclusion of LDH enzyme levels qualified this scoring system for an accurate assessment of patients with CMML whose prognosis is viewed too favorably when rated by other scores. Furthermore, this score was able to identify those patients with RA and RARS who, without showing an excess of marrow blasts, have an unfavorable prognosis.

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Year:  1992        PMID: 1736014

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  39 in total

1.  Coalesced multicentric analysis of 2,351 patients with myelodysplastic syndromes indicates an underestimation of poor-risk cytogenetics of myelodysplastic syndromes in the international prognostic scoring system.

Authors:  Julie Schanz; Christian Steidl; Christa Fonatsch; Michael Pfeilstöcker; Thomas Nösslinger; Heinz Tuechler; Peter Valent; Barbara Hildebrandt; Aristoteles Giagounidis; Carlo Aul; Michael Lübbert; Reinhard Stauder; Otto Krieger; Guillermo Garcia-Manero; Hagop Kantarjian; Ulrich Germing; Detlef Haase; Elihu Estey
Journal:  J Clin Oncol       Date:  2011-04-25       Impact factor: 44.544

2.  Prognosis in myelodysplastic syndromes: are the new classifications useful?

Authors:  Naomi Galili; Azra Raza
Journal:  Curr Hematol Malig Rep       Date:  2008-01       Impact factor: 3.952

3.  Prognostic relevance of anemia and transfusion dependency in myelodysplastic syndromes and primary myelofibrosis.

Authors:  Animesh Pardanani; Ayalew Tefferi
Journal:  Haematologica       Date:  2011-01       Impact factor: 9.941

4.  Long-term survivors in myelodysplastic syndromes: clinical and biological characteristics.

Authors:  Dragomir Marisavljević; Zoran Rolović; Darinka Bosković; Milica Colović
Journal:  Med Oncol       Date:  2004       Impact factor: 3.064

5.  Prospective analysis of clinical and cytogenetic features of 435 cases of MDS diagnosed using the WHO (2001) classification: a prognostic scoring system for predicting survival in RCMD.

Authors:  Xiao Qin Wang; John Ryder; Sherilyn A Gross; Guowei Lin; Richard D Irons
Journal:  Int J Hematol       Date:  2009-08-29       Impact factor: 2.490

Review 6.  Murine xenogeneic models of myelodysplastic syndrome: an essential role for stroma cells.

Authors:  Xiang Li; H Joachim Deeg
Journal:  Exp Hematol       Date:  2013-10-11       Impact factor: 3.084

Review 7.  Making Sense of Prognostic Models in Chronic Myelomonocytic Leukemia.

Authors:  Aziz Nazha; Mrinal M Patnaik
Journal:  Curr Hematol Malig Rep       Date:  2018-10       Impact factor: 3.952

8.  Revised international prognostic scoring system for myelodysplastic syndromes.

Authors:  Peter L Greenberg; Heinz Tuechler; Julie Schanz; Guillermo Sanz; Guillermo Garcia-Manero; Francesc Solé; John M Bennett; David Bowen; Pierre Fenaux; Francois Dreyfus; Hagop Kantarjian; Andrea Kuendgen; Alessandro Levis; Luca Malcovati; Mario Cazzola; Jaroslav Cermak; Christa Fonatsch; Michelle M Le Beau; Marilyn L Slovak; Otto Krieger; Michael Luebbert; Jaroslaw Maciejewski; Silvia M M Magalhaes; Yasushi Miyazaki; Michael Pfeilstöcker; Mikkael Sekeres; Wolfgang R Sperr; Reinhard Stauder; Sudhir Tauro; Peter Valent; Teresa Vallespi; Arjan A van de Loosdrecht; Ulrich Germing; Detlef Haase
Journal:  Blood       Date:  2012-06-27       Impact factor: 22.113

Review 9.  [Individualized management and therapy of myelodysplastic syndromes].

Authors:  Reinhard Stauder; Friedrich Wimazal; Thomas Nösslinger; Otto Krieger; Wolfgang R Sperr; Heinz Sill; Michael Pfeilstöcker; Peter Valent
Journal:  Wien Klin Wochenschr       Date:  2008       Impact factor: 1.704

10.  Immunosuppressive treatment in patient with pure red cell aplasia associated with chronic myelomonocytic leukemia: harm or benefit?

Authors:  Saloni Tanna; Celalettin Ustun
Journal:  Int J Hematol       Date:  2009-09-18       Impact factor: 2.490

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